WorldWideScience

Sample records for warning systems disaster

  1. Space systems for disaster warning, response, and recovery

    CERN Document Server

    Madry, Scott

    2015-01-01

    This SpringerBrief provides a general overview of the role of satellite applications for disaster mitigation, warning, planning, recovery and response. It covers both the overall role and perspective of the emergency management community as well as the various space applications that support their work. Key insights are provided as to how satellite telecommunications, remote sensing, navigation systems, GIS, and the emerging domain of social media are utilized in the context of emergency management needs and requirements. These systems are now critical in addressing major man-made and natural disasters. International policy and treaties are covered along with various case studies from around the world. These case studies indicate vital lessons that have been learned about how to use space systems more effectively in addressing the so-called “Disaster Cycle.” This book is appropriate for practicing emergency managers, Emergency Management (EM) courses, as well as for those involved in various space applica...

  2. Research on Disaster Early Warning and Disaster Relief Integrated Service System Based on Block Data Theory

    Science.gov (United States)

    Yang, J.; Zhang, H.; Wang, C.; Tang, D.

    2018-04-01

    With the continuous development of social economy, the interaction between mankind and nature has become increasingly evident. Disastrous global catastrophes have occurred from time to time, causing huge losses to people's lives and property. All governments recognize the importance of the establishment of disaster early warning and release mechanisms, and it is also an urgent issue to improve the comprehensive service level of emergency response and disaster relief. However, disaster early warning and emergency relief information is usually generated by different departments, and the diverse data sources, difficult integration, and limited release speed have always been difficult issues to be solved. Block data is the aggregation of various distributed (point data) and segmentation (data) big data on a specific platform and make them happen continuous polymerization effect, block data theory is a good solution to cross-sectoral, cross-platform Disaster information data sharing and integration problems. This paper attempts to discuss the integrated service mechanism of disaster information aggregation and disaster relief based on block data theory and introduces a location-based integrated service system for disaster early warning and disaster relief.

  3. Early Warning System Ghana: how to successfully implement a disaster early warning system in a data scarce region

    Science.gov (United States)

    Udo, Job; Jungermann, Nicole

    2016-04-01

    Ghana is a country frequently struck by natural disasters like floods and droughts. Timely warning or detection of such disasters will mitigate the negative impact on lives and property. However, local data and monitoring systems necessary to provide such a warning are hardly available. The availability and improvement of internet, mobile phones and satellites has provided new possibilities for disaster warning systems in data scarce regions such as Ghana. Our presentation describes the development of an early warning system (EWS) in Ghana completely based on satellite based open data. The EWS provides a flood or drought hazard warning on sub-catchment level and links the warning to a more detailed flood or drought risk map, to enable the disaster coordinator to send warnings or relieve more efficiently to areas that have the highest risk. This is especially relevant because some areas for which the system is implemented are very remote. The system is developed and tested to be robust and operational especially in remote areas. This means that the necessary information is also available under limited internet conditions and not dependent on local computer facilities. In many rural areas in Ghana communities rely on indigenous knowledge when it comes to flood or drought disaster forecasting. The EWS has a feature that allows indigenous knowledge indicators to be taken into account in the warning and makes easy comparison possible with the satellite based warnings.

  4. Disaster warning system: Satellite feasibility and comparison with terrestrial systems. Volume 1: Executive summary

    Science.gov (United States)

    Spoor, J. H.; Hodge, W. H.; Fluk, M. J.; Bamford, T. F.

    1974-01-01

    The Disaster Warning System (DWS) is a conceptual system which will provide the National Weather Service (NWS) with communication services in the 1980s to help minimize losses caused by natural disasters. The object of this study is a comparative analysis between a terrestrial DWS and a satellite DWS. Baseline systems satisfying the NOAA requirements were synthesized in sufficient detail so that a comparison could be made in terms of performance and cost. The cost of both baseline systems is dominated by the disaster warning and spotter reporting functions. An effort was undertaken to reduce system cost through lower-capacity alternative systems generated by modifying the baseline systems. By reducing the number of required channels and modifying the spotter reporting techniques, alternative satellite systems were synthesized. A terrestrial alternative with the coverage reduced to an estimated 95 percent of the population was considered.

  5. Big data system for disaster warning of solar greenhouse vegetables

    OpenAIRE

    Li, M; Zhao, L; Chen, M; Wen, D; Liu, R; Yang, X

    2017-01-01

    Background: Solar greenhouses are very popular in the north of China as a way of meeting the demand for fresh local winter vegetables. Nonetheless, they are more susceptible to biological and meteorological disasters, such as diseases, pests, fog, haze and cold temperatures. Although we have deployed many record keeping equipment and weather stations, we have lower efficiency of usage on data. Big data has great potential in the future. Thus, our aim is to investigate a big data system for di...

  6. Development of SNS Stream Analysis Based on Forest Disaster Warning Information Service System

    Science.gov (United States)

    Oh, J.; KIM, D.; Kang, M.; Woo, C.; Kim, D.; Seo, J.; Lee, C.; Yoon, H.; Heon, S.

    2017-12-01

    Forest disasters, such as landslides and wildfires, cause huge economic losses and casualties, and the cost of recovery is increasing every year. While forest disaster mitigation technologies have been focused on the development of prevention and response technologies, they are now required to evolve into evacuation and border evacuation, and to develop technologies fused with ICT. In this study, we analyze the SNS (Social Network Service) stream and implement a system to detect the message that the forest disaster occurred or the forest disaster, and search the keyword related to the forest disaster in advance in real time. It is possible to detect more accurate forest disaster messages by repeatedly learning the retrieved results using machine learning techniques. To do this, we designed and implemented a system based on Hadoop and Spark, a distributed parallel processing platform, to handle Twitter stream messages that open SNS. In order to develop the technology to notify the information of forest disaster risk, a linkage of technology such as CBS (Cell Broadcasting System) based on mobile communication, internet-based civil defense siren, SNS and the legal and institutional issues for applying these technologies are examined. And the protocol of the forest disaster warning information service system that can deliver the SNS analysis result was developed. As a result, it was possible to grasp real-time forest disaster situation by real-time big data analysis of SNS that occurred during forest disasters. In addition, we confirmed that it is possible to rapidly propagate alarm or warning according to the disaster situation by using the function of the forest disaster warning information notification service. However, the limitation of system application due to the restriction of opening and sharing of SNS data currently in service and the disclosure of personal information remains a problem to be solved in the future. Keyword : SNS stream, Big data, Machine

  7. Brief Communication: Understanding disasters and early-warning systems

    Science.gov (United States)

    Castaños, H.; Lomnitz, C.

    2014-12-01

    This paper discusses some methodological questions on understanding disasters. Destructive earthquakes continue to claim thousands of lives. Tsunamis may be caused by recoil of the upper plate. Darwin's twin-epicenter hypothesis is applied to a theory of tsunamis. The ergodicity hypothesis may help to estimate the return periods of extremely rare events. A social science outline on the causation of the Tôhoku nuclear disaster is provided.

  8. A WebGIS-Based Information System for Monitoring and Warning of Geological Disasters for Lanzhou City, China

    Directory of Open Access Journals (Sweden)

    Fang Miao

    2013-01-01

    Full Text Available Monitoring and warning of geological disasters accurately and in a timely fashion would dramatically mitigate casualties and economic losses. This paper takes Lanzhou city as an example and designs a Web-based system, namely the information system for geological disaster monitoring and warning (ISGDMW. Presented are its framework, key developing technologies, database, and working flow. The information system adopts a Browser/Server (B/S structure and has three-tier architecture, combining in-situ monitoring instruments, the wireless sensor network, WebGIS techniques and the grey system theory. The framework of the ISGDMW can be divided into three categories: (1 in-situ monitoring system, it aims to monitor geological disaster sites and get state information of geological disaster sites; (2 database, manage in-situ monitoring data, antecedent field investigating data and basic data; (3 analyzing and warning system, analyze in-situ monitoring data, understand the deformation trend of the potential geological disaster, and release disaster warning information to the public. The ISGDMW allow the processes of geological disaster monitoring, in-situ monitoring data analysis, geological disaster warning to be implemented in an efficient and quick way, and can provide scientific suggestions to commanders for quick response to the possibility of geological disaster.

  9. Early Warning System for reducing disaster risk: the technological platform DEWETRA for the Republic of Serbia

    Science.gov (United States)

    Massabo, Marco; Molini, Luca; Kostic, Bojan; Campanella, Paolo; Stevanovic, Slavimir

    2015-04-01

    Disaster risk reduction has long been recognized for its role in mitigating the negative environmental, social and economic impacts of natural hazards. Flood Early Warning System is a disaster risk reduction measure based on the capacities of institutions to observe and predict extreme hydro-meteorological events and to disseminate timely and meaningful warning information; it is furthermore based on the capacities of individuals, communities and organizations to prepare and to act appropriately and in sufficient time to reduce the possibility of harm or loss. An operational definition of an Early Warning System has been suggested by ISDR - UN Office for DRR [15 January 2009]: "EWS is the set of capacities needed to generate and disseminate timely and meaningful warning information to enable individuals, communities and organizations threatened by a hazard to prepare and to act appropriately and in sufficient time to reduce the possibility of harm or loss.". ISDR continues by commenting that a people-centered early warning system necessarily comprises four key elements: 1-knowledge of the risks; 2-monitoring, analysis and forecasting of the hazards; 3-communication or dissemination of alerts and warnings; and 4- local capabilities to respond to the warnings received." The technological platform DEWETRA supports the strengthening of the first three key elements of EWS suggested by ISDR definition, hence to improve the capacities to build real-time risk scenarios and to inform and warn the population in advance The technological platform DEWETRA has been implemented for the Republic of Serbia. DEWETRA is a real time-integrate system that supports decision makers for risk forecasting and monitoring and for distributing warnings to end-user and to the general public. The system is based on the rapid availability of different data that helps to establish up-to-date and reliable risk scenarios. The integration of all relevant data for risk management significantly

  10. Early Warning System of Flood Disaster Based on Ultrasonic Sensors and Wireless Technology

    Science.gov (United States)

    Indrasari, W.; Iswanto, B. H.; Andayani, M.

    2018-04-01

    A flood disaster provides considerable losses to the people who live around the river. To mitigate losses of material due to flood disaster required an early warning system of flood disaster. For that reason, it necessary to design a system that provide alert to the people prior the flood disaster. And this paper describes development of a device for early detection system of flood disasters. This device consists of two ultrasonic sensors as a water level detector, and a water flow sensor as a water flow velocity sensor. The wireless technology and GSM is used as an information medium. The system is designed based on water level conditions in the Katulampa Dam, Bogor. Characterization of water level detector showed that the device effectively works in a range of water level of 14-250 cm, with a maximum relative error of 4.3%. Meanwhile the wireless works properly as far as 75 m, and the SMS transmission time is 8.20 second.

  11. Integration of Disaster Detection and Warning System for a Smart Vehicle

    Directory of Open Access Journals (Sweden)

    Chun-Chieh Wang

    2014-02-01

    Full Text Available For firefighters and rescuers, the disaster relief works are difficulty performed in the tunnels because of their constricted space. To reduce the losses of accident, the safety of tunnels and factories should be ordinarily kept under surveillance. Hence, a multisensor based smart tracked vehicle is designed for the application of autonomous detection and surveillance in this paper. Besides, multisensors, communication modules, wireless cameras, an electronic compass, and a GPS module are installed in the vehicle. The key feature is the integration of disaster detection and warning systems so that the vehicle can move autonomously. Furthermore, a LabVIEW graphical programming software is applied to design a human machine interface (HMI and integrate all systems such that the vehicle can be guided by High Speed Downlink Packet Access (HSHPA based remote control. Moreover, basic stamp microcontrollers are utilized as its control kernel such that the remote monitoring and control system (RMCS can be constructed successfully.

  12. Miniaturized Water Flow and Level Monitoring System for Flood Disaster Early Warning

    Science.gov (United States)

    Ifedapo Abdullahi, Salami; Hadi Habaebi, Mohamed; Surya Gunawan, Teddy; Rafiqul Islam, MD

    2017-11-01

    This study presents the performance of a prototype miniaturised water flow and water level monitoring sensor designed towards supporting flood disaster early warning systems. The design involved selection of sensors, coding to control the system mechanism, and automatic data logging and storage. During the design phase, the apparatus was constructed where all the components were assembled using locally sourced items. Subsequently, under controlled laboratory environment, the system was tested by running water through the inlet during which the flow rate and rising water levels are automatically recorded and stored in a database via Microsoft Excel using Coolterm software. The system is simulated such that the water level readings measured in centimeters is output in meters using a multiplicative of 10. A total number of 80 readings were analyzed to evaluate the performance of the system. The result shows that the system is sensitive to water level rise and yielded accurate measurement of water level. But, the flow rate fluctuates due to the manual water supply that produced inconsistent flow. It was also observed that the flow sensor has a duty cycle of 50% of operating time under normal condition which implies that the performance of the flow sensor is optimal.

  13. Online-data Bases On Natural-hazard Research, Early-warning Systems and Operative Disaster Prevention Programs

    Science.gov (United States)

    Hermanns, R. L.; Zentel, K.-O.; Wenzel, F.; Hövel, M.; Hesse, A.

    In order to benefit from synergies and to avoid replication in the field of disaster re- duction programs and related scientific projects it is important to create an overview on the state of art, the fields of activity and their key aspects. Therefore, the German Committee for Disaster Reduction intends to document projects and institution related to natural disaster prevention in three databases. One database is designed to docu- ment scientific programs and projects related to natural hazards. In a first step data acquisition concentrated on projects carried out by German institutions. In a second step projects from all other European countries will be archived. The second database focuses on projects on early-warning systems and has no regional limit. Data mining started in November 2001 and will be finished soon. The third database documents op- erational projects dealing with disaster prevention and concentrates on international projects or internationally funded projects. These databases will be available on the internet end of spring 2002 (http://www.dkkv.org) and will be updated continuously. They will allow rapid and concise information on various international projects, pro- vide up-to-date descriptions, and facilitate exchange as all relevant information in- cluding contact addresses are available to the public. The aim of this contribution is to present concepts and the work done so far, to invite participation, and to contact other organizations with similar objectives.

  14. Availability and Reliability of Disaster Early Warning Systems and the IT Infrastructure Library

    Science.gov (United States)

    Wächter, J.; Loewe, P.

    2012-12-01

    The Boxing Day Tsunami of 2004 caused an information catastrophy. Crucial early warning information could not be delivered to the communities under imminent threat, resulting in over 240,000 casualties in 14 countries. This tragedy sparked the development of a new generation of integrated modular Tsunami Early Warning Systems (TEWS). While significant advances were accomplished in the past years, recent events, like the Chile 2010 and the Tohoku 2011 tsunami demonstrate that the key technical challenge for Tsunami Early Warning research on the supranational scale still lies in the timely issuing of status information and reliable early warning messages. A key challenge stems from the main objective of the IOC Tsunami Programme, the integration of national TEWS towards ocean-wide networks: Each of the increasing number of integrated Tsunami Early Warning Centres has to cope with the continuing evolution of sensors, hardware and software while having to maintain reliable inter-center information exchange services. To avoid future information catastrophes, the performance of all components, ranging from sensors to Warning Centers, has to be regularly validated against defined criteria. This task is complicated by the fact that in term of ICT system life cycles tsunami are very rare event resulting in very difficult framing conditions to safeguard the availability and reliability of TWS. Since 2004, GFZ German Research Centre for Geosciences (GFZ) has built up expertise in the field of TEWS. Within GFZ, the Centre for GeoInformation Technology (CEGIT) has focused its work on the geoinformatics aspects of TEWS in two projects already: The German Indonesian Tsunami Early Warning System (GITEWS) funded by the German Federal Ministry of Education and Research (BMBF) and the Distant Early Warning System (DEWS), a European project funded under the sixth Framework Programme (FP6). These developments are continued in the TRIDEC project (Collaborative, Complex, and Critical

  15. An Assessment of Capacity, Gaps and Opportunities toward Building a Global Early Warning System for Flood Disasters

    Science.gov (United States)

    Hong, Y.; Adler, R.; Huffman, G.

    2007-12-01

    Many governmental emergency management agencies or non-governmental organizations need real-time information on emerging disasters for preparedness and response. However, progress in warnings for hydrologic disasters has been constrained by the difficulty of measuring spatiotemporal variability of rainfall fluxes continuously over space and time, due largely to insufficient ground monitoring networks, long delay in data transmission and absence of data sharing protocols among many geopolitically trans-boundary basins. In addition, in-situ gauging stations are often washed away by the very floods they are designed to monitor, making reconstruction of gauges a common post-flood activity around the world. In reality, remote sensing precipitation estimates may be the only source of rainfall information available over much of the globe, particularly for vulnerable countries in the tropics where abundant extreme rain storms and severe flooding events repeat every year. Building on progress in remote sensing technology, researchers have improved the accuracy, coverage, and resolution of rainfall estimates by combining imagery from infrared, passive microwave, and weather radar sensors. Today, remote sensing imagery acquired and processed in real time can provide near-real-time rainfall fluxes at relatively fine spatiotemporal scales (kilometers to tens of kilometers and 30-minute to 3-hour). These new suites of rainfall products have the potential to support daily decision-making in analysis of hydrologic hazards. This talk will address several key issues, including remote sensing rainfall retrieval and data assimilation, for hydrologists to develop alternative satellite-based flood warning systems that may supplement in-situ infrastructure when conventional data sources are denied due to natural or administrative causes. This talk will also assess a module-structure global flood prediction system that has been running at real-time by integrating remote sensing forcing

  16. Application of earthquake early warning system for disaster prevention in nuclear facilities

    International Nuclear Information System (INIS)

    Ionescu, C.; Dumitru, G.; Oprescu, T.; Ana, E.; Sofilca, N.; Grigore, D.

    2007-01-01

    Full text: The Romanian seismicity is dominated by the Vrancea deep (60-200 km) earthquakes which take place in a small volume located at the bend of Carpathian mountains, the place where three tectonic units are interacting: East-European, Intra-Alpine plates and Moesic sub-plate. Two or three events per century are devastating; having high energy they are felt over large and highly populated areas. The achievement of a seismic vulnerability reduction system for industrial and technological processes in the nuclear field intends to reduce possible after-earthquake damages which can take place in nuclear facilities situated in an extended area as compared to the usual one affected by Vrancea earthquakes. In this situation there are nuclear specific facilities like: - Van de Graaff Accelerator of IFIN-HH at Magurele; - TRIGA reactor operated at Pitesti, Mioveni, Jud. Arges; - Experimental Pilot Plant for tritium and deuterium separation of ICSI at Ramnicu Valcea; - Heavy water plant Drobeta Turnu Severin, Mehedinti. We intend to implement EEWS in the above sites in order to have a warning decision for earthquakes produced in Vrancea, Campulung Muscel and Herculane areas and its error-free transmission for activating the safety regulations for these facilities. (authors)

  17. Earthquake warning system for Japan Railways’ bullet train; implications for disaster prevention in California

    Science.gov (United States)

    Nakamura, Y.; Tucker, B. E.

    1988-01-01

    In Japan, the level of public awareness of the dangers of earthquakes is high. The 1923 Kanto earthquake killed about 120,000 people out of a total Japanese population of about 50 million; an equivalent disaster in the U.S would involve 600,000 deaths.

  18. Earthquake Early Warning Systems

    OpenAIRE

    Pei-Yang Lin

    2011-01-01

    Because of Taiwan’s unique geographical environment, earthquake disasters occur frequently in Taiwan. The Central Weather Bureau collated earthquake data from between 1901 and 2006 (Central Weather Bureau, 2007) and found that 97 earthquakes had occurred, of which, 52 resulted in casualties. The 921 Chichi Earthquake had the most profound impact. Because earthquakes have instant destructive power and current scientific technologies cannot provide precise early warnings in advance, earthquake ...

  19. "Last-Mile" preparation for a potential disaster – Interdisciplinary approach towards tsunami early warning and an evacuation information system for the coastal city of Padang, Indonesia

    Directory of Open Access Journals (Sweden)

    H. Taubenböck

    2009-08-01

    Full Text Available Extreme natural events, like e.g. tsunamis or earthquakes, regularly lead to catastrophes with dramatic consequences. In recent years natural disasters caused hundreds of thousands of deaths, destruction of infrastructure, disruption of economic activity and loss of billions of dollars worth of property and thus revealed considerable deficits hindering their effective management: Needs for stakeholders, decision-makers as well as for persons concerned include systematic risk identification and evaluation, a way to assess countermeasures, awareness raising and decision support systems to be employed before, during and after crisis situations. The overall goal of this study focuses on interdisciplinary integration of various scientific disciplines to contribute to a tsunami early warning information system. In comparison to most studies our focus is on high-end geometric and thematic analysis to meet the requirements of small-scale, heterogeneous and complex coastal urban systems. Data, methods and results from engineering, remote sensing and social sciences are interlinked and provide comprehensive information for disaster risk assessment, management and reduction. In detail, we combine inundation modeling, urban morphology analysis, population assessment, socio-economic analysis of the population and evacuation modeling. The interdisciplinary results eventually lead to recommendations for mitigation strategies in the fields of spatial planning or coping capacity.

  20. The Global Emergency Observation and Warning System

    Science.gov (United States)

    Bukley, Angelia P.; Mulqueen, John A.

    1994-01-01

    Based on an extensive characterization of natural hazards, and an evaluation of their impacts on humanity, a set of functional technical requirements for a global warning and relief system was developed. Since no technological breakthroughs are required to implement a global system capable of performing the functions required to provide sufficient information for prevention, preparedness, warning, and relief from natural disaster effects, a system is proposed which would combine the elements of remote sensing, data processing, information distribution, and communications support on a global scale for disaster mitigation.

  1. Communication architecture of an early warning system

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    M. Angermann

    2010-11-01

    Full Text Available This article discusses aspects of communication architecture for early warning systems (EWS in general and gives details of the specific communication architecture of an early warning system against tsunamis. While its sensors are the "eyes and ears" of a warning system and enable the system to sense physical effects, its communication links and terminals are its "nerves and mouth" which transport measurements and estimates within the system and eventually warnings towards the affected population. Designing the communication architecture of an EWS against tsunamis is particularly challenging. Its sensors are typically very heterogeneous and spread several thousand kilometers apart. They are often located in remote areas and belong to different organizations. Similarly, the geographic spread of the potentially affected population is wide. Moreover, a failure to deliver a warning has fatal consequences. Yet, the communication infrastructure is likely to be affected by the disaster itself. Based on an analysis of the criticality, vulnerability and availability of communication means, we describe the design and implementation of a communication system that employs both terrestrial and satellite communication links. We believe that many of the issues we encountered during our work in the GITEWS project (German Indonesian Tsunami Early Warning System, Rudloff et al., 2009 on the design and implementation communication architecture are also relevant for other types of warning systems. With this article, we intend to share our insights and lessons learned.

  2. A review of studies on community based early warning systems

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    Margaret Macherera

    2016-04-01

    Full Text Available Community-based early warning systems involve community driven collection and analysis of information that enable warning messages to help a community to react to a hazard and reduce the resulting loss or harm. Most early warning systems are designed at the national or global level. Local communities’ capacity to predict weather conditions using indigenous knowledge has been demonstrated in studies focusing on climate change and agriculture in some African countries. This review was motivated by successes made in non-disease specific community-based early warning systems with a view to identify opportunities for developing similar systems for malaria. This article reviewed the existing community-based early warning systems documented in literature. The types of disasters that are addressed by these systems and the methodologies utilised in the development of the systems were identified. The review showed that most of the documented community-based early warning systems focus on natural disasters such as floods, drought, and landslides. Community-based early warning systems for human diseases are very few, even though such systems exist at national and regional and global levels. There is a clear gap in terms of community-based malaria early warning systems. The methodologies for the development of the community-based early warning systems reviewed mainly derive from the four elements of early warning systems; namely risk knowledge, monitoring, warning communication and response capability. The review indicated the need for the development of community based early warning systems for human diseases. Keywords: community; early warning; disaster; hazards

  3. ARISTOTLE (All Risk Integrated System TOward The hoListic Early-warning): a multi-hazard expert advice system for the EU disaster response

    Science.gov (United States)

    Michelini, A.; Wotawa, G.; Arnold-Arias, D.

    2017-12-01

    ARISTOTLE (http://aristotle.ingv.it/) is a Pilot Project funded by the DG ECHO (EU Humanitarian Aid and Civil Protection) that provides expert scientific advice on natural disasters around the world that may cause a country to seek international help to the EU's Emergency Response Coordination Centre (ERCC) and, consequently, to the Union Civil Protection Mechanism Participating States. The EU is committed to providing disaster response in a timely and efficient manner and to ensure European assistance meets the real needs in the population affected, whether in Europe or beyond. When a disaster strikes, every minute counts for saving lives and rapid, coordinated and pre-planned response is essential. The ARISTOTLE consortium includes 15 partner institutions (11 from EU Countries; 2 from non-EU countries and 2 European organizations) operating in the Meteorological and Geophysical domains. The project coordination is shared among INGV and ZAMG for the geophysical and meteorological communities, respectively. ARISTOTLE harnesses operational expertise from across Europe to form a multi-hazard perspective on natural disasters related to volcanoes, earthquake (and resulting tsunami), severe weather and flooding. Each Hazard Group brings together experts from the particular hazard domain to deliver a `collective analysis' which is then fed into the partnership multi-hazard discussions. Primary target of the pilot project has been the prototyping and the implementation of a scalable system (in terms of number of partners and hazards) capable of providing to ERCC the sought advice. To this end, the activities of the project have been focusing on the establishment of a "Multi-Hazard Operational Board" that is assigned the 24*7 operational duty regulated by a "Standard Operating Protocol" and the implementation of a dedicated IT platform to assembly the resulting reports. The project has reached the point where the routine and emergency advice services are being provided and

  4. Radiation early warning system

    International Nuclear Information System (INIS)

    Schmitzer, C.; Kloesch, W.; Stadtmann, H.

    1993-01-01

    A prototype station for a Radiation Early Warning Network has been designed and set up at the Austrian Research Centre Seibersdorf. This unit was developed to measure all relevant parameters necessary to detect and track radioactive contamination at an early stage. The station consists of the following components: Radiation measuring channel for ambient gamma dose rate. Meteorological measurement channels for air temperature and humidity, wind direction and wind speed, and precipitation. Data processing and storage unit. The system is capable of unattended operation and data acquisition even under adverse environmental conditions. Connection to a central processing platform may be achieved via leased line, dial up over public switched telephone network (PSTN), or radio-frequency transmission. The remote station will continue acquiring and storing data for at least a month, even if the communications link is broken. Multiple stations can be combined to form a network, providing detailed information about radiological and meteorological data at each site. Thus increased ambient radiation levels may be discovered, tracked, and forecasted based on calculations using current and local weather data

  5. A digital simulation of message traffic for natural disaster warning communications satellite

    Science.gov (United States)

    Hein, G. F.; Stevenson, S. M.

    1972-01-01

    Various types of weather communications are required to alert industries and the general public about the impending occurrence of tornados, hurricanes, snowstorms, floods, etc. A natural disaster warning satellite system has been proposed for meeting the communications requirements of the National Oceanic and Atmospheric Administration. Message traffic for a communications satellite was simulated with a digital computer in order to determine the number of communications channels to meet system requirements. Poisson inputs are used for arrivals and an exponential distribution is used for service.

  6. Criteria for evaluating the condition of a tropical cyclone warning system.

    Science.gov (United States)

    Parker, D

    1999-09-01

    This paper evaluates the condition (i.e. health) of a tropical cyclone warning system (TCWS) during a 'quiet period' between infrequent intense cyclones. Capacity to make pre-disaster evaluations is important--disaster warning systems need to be in sound condition before, not after, disaster. The research--part of the UK's International Decade of Natural Disaster Reduction Flagship Programme--focuses upon an evaluatory method first used on flood warning systems. The Criteria-development Matrix comprises social, organisational and institutional criteria by which a TCWS may be assessed using a five-stage development scale. This method is used to evaluate Mauritius's TCWS using in-depth interview data. Ways to enhance the method and apply it to other disaster warning systems are discussed. The TCWS in Mauritius is a relatively sound one from which others can learn. Weaknesses requiring attention for Mauritius's TCWS to progress to an advanced level of development are identified.

  7. Ethical dilemmas related to predictions and warnings of impending natural disaster.

    Science.gov (United States)

    Phua, Kai-Lit; Hue, J W

    2013-01-01

    Scientists and policy makers issuing predictions and warnings of impending natural disaster are faced with two major challenges, that is, failure to warn and issuing a false alarm. The consequences of failure to warn can be serious for society overall, for example, significant economic losses, heavy infrastructure and environmental damage, large number of human casualties, and social disruption. Failure to warn can also have serious for specific individuals, for example, legal proceedings against disaster research scientists, as in the L'Aquila earthquake affair. The consequences of false alarms may be less serious. Nevertheless, false alarms may violate the principle of nonmaleficence (do no harm), affect individual autonomy (eg, mandatory evacuations), and may result in the "cry wolf" effect. Other ethical issues associated with natural disasters include the promotion of global justice through international predisaster technical assistance and postdisaster aid. Social justice within a particular country is promoted through greater postdisaster aid allocation to the less privileged.

  8. Impact of social preparedness on flood early warning systems

    Science.gov (United States)

    Girons Lopez, M.; Di Baldassarre, G.; Seibert, J.

    2017-01-01

    Flood early warning systems play a major role in the disaster risk reduction paradigm as cost-effective methods to mitigate flood disaster damage. The connections and feedbacks between the hydrological and social spheres of early warning systems are increasingly being considered as key aspects for successful flood mitigation. The behavior of the public and first responders during flood situations, determined by their preparedness, is heavily influenced by many behavioral traits such as perceived benefits, risk awareness, or even denial. In this study, we use the recency of flood experiences as a proxy for social preparedness to assess its impact on the efficiency of flood early warning systems through a simple stylized model and implemented this model using a simple mathematical description. The main findings, which are based on synthetic data, point to the importance of social preparedness for flood loss mitigation, especially in circumstances where the technical forecasting and warning capabilities are limited. Furthermore, we found that efforts to promote and preserve social preparedness may help to reduce disaster-induced losses by almost one half. The findings provide important insights into the role of social preparedness that may help guide decision-making in the field of flood early warning systems.

  9. Satellite Monitoring for Early Warning and Triggering Disaster Risk Financing in Uganda

    Science.gov (United States)

    Nakalembe, C. L.; Owor, M.

    2016-12-01

    Natural disasters typically occur with little warning and can have grave and long-lasting negative consequences especially for populations fully dependent on rainfed agriculture. Disaster risk financing (DRF) aims to scale up alternative livelihoods such as Labour Intensive Public Works (LIPW) when a disaster hits to minimize the likely impacts on communities. In data-rich regions triggering DRF or crop insurances payouts can be easily implemented e.g in the case of agriculture, yield losses due to drought can be measured directly. This is constrained in Uganda, because seasonal/annual production data are scarce due to the subsistence and smallholder nature of agriculture in addition to low capacity for data collection and analysis in the country. Satellite remote sensing based indices, in particular the Normalized Difference Vegetation Index (NDVI), provides an objective and dependable solution to this challenge. Using MODIS satellite imagery provided through the GLAM East-Africa portal (Global Agricultural Monitoring system adapted for East-Africa) for obtaining NDVI time-series in near real-time, the Office of the Prime Minister of Uganda (OPM) is designing an operational crop conditions monitoring system in support of its recently initiated DRF Project, under the Third Northern Uganda Social Action Fund (NUSAF 2). The basis for triggering the DRF mechanism under this project is the deviation from the long-term NDVI (NDVI Anomaly data) within the growing season beyond a defined threshold. The NDVI data that are preprocessed in the GLAM system offer spatially explicit information on vegetation and crop conditions forming an adequate base for assessing generalized growing season conditions and enabling the quick implementation of DRF using transparent and objective criteria. The system and criteria serve also as an early-warning mechanism as the NDVI anomaly approaches the triggering threshold allowing time for planning and implementing LIPW projects.

  10. Volcano warning systems: Chapter 67

    Science.gov (United States)

    Gregg, Chris E.; Houghton, Bruce F.; Ewert, John W.

    2015-01-01

    Messages conveying volcano alert level such as Watches and Warnings are designed to provide people with risk information before, during, and after eruptions. Information is communicated to people from volcano observatories and emergency management agencies and from informal sources and social and environmental cues. Any individual or agency can be both a message sender and a recipient and multiple messages received from multiple sources is the norm in a volcanic crisis. Significant challenges to developing effective warning systems for volcanic hazards stem from the great diversity in unrest, eruption, and post-eruption processes and the rapidly advancing digital technologies that people use to seek real-time risk information. Challenges also involve the need to invest resources before unrest to help people develop shared mental models of important risk factors. Two populations of people are the target of volcano notifications–ground- and aviation-based populations, and volcano warning systems must address both distinctly different populations.

  11. Satellite Application for Disaster Management Information Systems

    Science.gov (United States)

    Okpanachi, George

    Abstract Satellites are becoming increasingly vital to modern day disaster management activities. Earth observation (EO) satellites provide images at various wavelengths that assist rapid-mapping in all phases of the disaster management cycle: mitigation of potential risks in a given area, preparedness for eventual disasters, immediate response to a disaster event, and the recovery/reconstruction efforts follo wing it. Global navigation satellite systems (GNSS) such as the Global Positioning System (GPS) assist all the phases by providing precise location and navigation data, helping manage land and infrastructures, and aiding rescue crews coordinate their search efforts. Effective disaster management is a complex problem, because it involves many parameters, which are usually not easy to measure and even identify: Analysis of current situation, planning, optimum resource management, coordination, controlling and monitoring current activities and making quick and correct decisions are only some of these parameters, whose complete list is very long. Disaster management information systems (DMIS) assist disaster management to analyse the situation better, make decisions and suggest further actions following the emergency plans. This requires not only fast and thorough processing and optimization abilities, but also real-time data provided to the DMIS. The need of DMIS for disaster’s real-time data can be satisfied by small satellites data utilization. Small satellites can provide up-to-data, plus a better media to transfer data. This paper suggests a rationale and a framework for utilization of small Satellite data by DMIS. DMIS should be used ‘’before’’, ‘’during’’ and ‘’after’’ the disasters. Data provided by the Small Satellites are almost crucial in any period of the disasters, because early warning can save lives, and satellite data may help to identify disasters before they occur. The paper also presents’ ‘when’’,

  12. Emergency Communications: The Emergency Alert System (EAS) and All-Hazard Warnings

    National Research Council Canada - National Science Library

    Moore, Linda K; Reese, Shawn

    2005-01-01

    ... tested. Much has been accomplished in recent years but the current hodgepodge of warning and alert systems is inadequate for fully alerting the public about terrorist attacks or natural disasters...

  13. An organizational early-warning system for safety, health, and environmental crises

    International Nuclear Information System (INIS)

    Shrivastava, P.

    1992-01-01

    Early-warning systems have played an important role in preventing major industrial accidents and technological disasters. These systems record critical operating and performance parameters and raise warnings or alarms if these parameters cross acceptable limits. Most early-warning systems used in hazardous industries focus on the technological system and to a lesser extent on their human operators. However, industrial disasters are caused not only by technological and human failure, but also by organizational, regulatory, infrastructural, and community preparedness failures. Hazardous industries can benefit from the development of early-warning systems that have a broader scope than the core technology. These systems could cover financial, human resource, organizational policies, regulatory, infrastructural, and community-related variables. This paper develops some basic concepts that can help build managerially useful early-warning systems for safety, health, and environmental (SHE) incidents. It identifies variables that should be tracked, the threshold levels for these variables, and possible managerial reactions to warnings

  14. Disaster prevention surveillance system

    International Nuclear Information System (INIS)

    Nara, Satoru; Kamiya, Eisei

    2001-01-01

    Fuji Electric Co., Ltd. has supplied many management systems to nuclear reactor institution. 'The nuclear countermeasures-against-calamities special-measures' was enforced. A nuclear entrepreneur has devised the measure about expansion prevention and restoration of a calamity while it endeavors after prevention of generating of a nuclear calamity. Our company have supplied the 'disaster prevention surveillance system' to the Japan Atomic Energy Research Institute Tokai Research Establishment aiming at strengthening of the monitoring function at the time (after the accident) of the accident used as one of the above-mentioned measures. A 'disaster prevention surveillance system' can share the information on the accident spot in an on-site command place, an activity headquarters, and support organizations, when the serious accident happens. This system is composed of various sensors (temperature, pressure and radiation), cameras, computers and network. (author)

  15. Optimization of Evacuation Warnings Prior to a Hurricane Disaster

    Directory of Open Access Journals (Sweden)

    Dian Sun

    2017-11-01

    Full Text Available The key purpose of this paper is to demonstrate that optimization of evacuation warnings by time period and impacted zone is crucial for efficient evacuation of an area impacted by a hurricane. We assume that people behave in a manner consistent with the warnings they receive. By optimizing the issuance of hurricane evacuation warnings, one can control the number of evacuees at different time intervals to avoid congestion in the process of evacuation. The warning optimization model is applied to a case study of Hurricane Sandy using the study region of Brooklyn. We first develop a model for shelter assignment and then use this outcome to model hurricane evacuation warning optimization, which prescribes an evacuation plan that maximizes the number of evacuees. A significant technical contribution is the development of an iterative greedy heuristic procedure for the nonlinear formulation, which is shown to be optimal for the case of a single evacuation zone with a single evacuee type case, while it does not guarantee optimality for multiple zones under unusual circumstances. A significant applied contribution is the demonstration of an interface of the evacuation warning method with a public transportation scheme to facilitate evacuation of a car-less population. This heuristic we employ can be readily adapted to the case where response rate is a function of evacuation number in prior periods and other variable factors. This element is also explored in the context of our experiment.

  16. Warning: digital systems ahead

    International Nuclear Information System (INIS)

    Albrigo, T.

    1994-01-01

    Digital systems will continue to enhance operation and safety in the nuclear industry. However, they are complex and operators have found it difficult to demonstrate the levels of reliability needed to justify their use. This article describes just some of the varied experiences collected by Arizona Public Service and lessons learned which show clearly why caution must be used whenever and wherever these are introduced. (author)

  17. Information dissemination analysis of different media towards the application for disaster pre-warning.

    Science.gov (United States)

    Zhang, Nan; Huang, Hong; Su, Boni; Zhao, Jinlong; Zhang, Bo

    2014-01-01

    Knowing the information dissemination mechanisms of different media and having an efficient information dissemination plan for disaster pre-warning plays a very important role in reducing losses and ensuring the safety of human beings. In this paper we established models of information dissemination for six typical information media, including short message service (SMS), microblogs, news portals, cell phones, television, and oral communication. Then, the information dissemination capability of each medium concerning individuals of different ages, genders, and residential areas was simulated, and the dissemination characteristics were studied. Finally, radar graphs were used to illustrate comprehensive assessments of the six media; these graphs show directly the information dissemination characteristics of all media. The models and the results are essential for improving the efficiency of information dissemination for the purpose of disaster pre-warning and for formulating emergency plans which help to reduce the possibility of injuries, deaths and other losses in a disaster.

  18. Vrancea early warning system for Bucharest and industrial objectives

    International Nuclear Information System (INIS)

    Ionescu, C.; Marmureanu, A.; Grigore, A.; Tataru, D.

    2005-01-01

    Romania is an earthquake prone area and it is of crucial importance to obtain quantitative information needed for seismic risk mitigation and related public policies and seismic safety measures. The most damaging earthquakes in Romania concentrate in the Vrancea region, located at the sharp bend of the Eastern Carpathians Arc, in a well confined focal volume at intermediate depths between 60 km and 200 km.Vrancea earthquakes are documented for at least a millennium (since 985 a.c.) and represent very peculiar characteristics. They are a permanent threat for large urban areas on the Romanian territory and extended areas in Europe. Bucharest is among the cities mostly affected by destructive earthquakes. The early warning system in Romania is to provide individuals and communities exposed to disaster risk given by strong Vrancea earthquakes, with accurate information about an impending hazard as early as possible, to act in a timely and appropriate manner to reduce probability of suffering, personal damage, death and property losses. The purpose of this early system is to issue messages at sites of interest before the destructive seismic energy arrives. Early warning system is a technological instrument to detect, monitor and submit warnings/alerts. It needs to become part of a management information system for decision - making in the context of national institutional frameworks for disaster management and as a part of national and local strategies for disaster risk reduction. (authors)

  19. Vrancea early warning system for Bucharest and industrial objectives

    International Nuclear Information System (INIS)

    Ionescu, Constantin; Marmureanu, Alexandru; Wenzel, Friedemann; Bonjer, K. P.

    2004-01-01

    Romania is an earthquake prone area and it is of crucial importance to obtain quantitative information needed for seismic risk mitigation and related public policies and seismic safety measures. The most damaging earthquakes in Romania concentrate in the Vrancea region, located at the sharp bend of the Eastern Carpathians Arc, in a well confined focal volume at intermediate depths between 60 km and 200 km. Vrancea earthquakes are documented for at least a millennium (since 985 a.c.) and represent very peculiar characteristics. They are a permanent threat for large urban areas on the Romanian territory and extended areas in Europe. Bucharest is among the mega cities mostly affected by destructive earthquakes. The early warning system in Romania is to provide individuals and communities exposed to disaster risk due to strong Vrancea earthquakes, with accurate information about an impending hazard as early as possible, to act in a timely and appropriate manner to reduce probability of suffering, personal damage, death and property losses. The purpose of this early system is to issue messages at sites of interest before the destructive seismic energy arrives. Early warning system is a technological instrument to detect, monitor and issue warnings/alerts. It needs to become part of a management information system for decision - making in the context of national institutional frameworks for disaster management and as a part of national and local strategies for disaster risk reduction. (authors)

  20. Flood early warning system in I.R. of Iran

    International Nuclear Information System (INIS)

    Samadi, Slina; Jamali, Javad B.; Javanmard, Soheila

    2004-01-01

    At the close of the twentieth century, natural hazards and disasters are one of the most common forms of disasters around the world. Natural disasters cause in significant loss of life and serious economic, environmental and social impacts that greatly retard the development process. Careful hazard assessment and planning, and a range of social, economic and political measures, can significantly contain these threats. Risk is defined as the potential for loss or damage as the result of a particular action or decision and Risk Management is a process consisting of well-defined steps which, when taken in sequence, support better decision making by contributing to a greater insight into risks and their impacts. Most commonly, there are three components in a natural disaster plan: monitoring and early warning; risk assessment; and mitigation and response. Given the improved tools and technologies available today, it is possible to provide disaster information and minimize the potential damage of disasters. In the following parts of the report, the national early warning systems for flood would be discussed, as one of the important component of natural disaster risk management. In 1. R. of Iran, also, different types of natural disasters occur, such as drought, flood, earthquake, sea-level rise, dust storm, hail, freezing and etc, but Flood hazard and disaster is one of the most frequent and damaging types of natural disasters. They have been the most common type of geophysical disaster in the latter half of the twentieth century in Iran, generating an estimated more than 20 percent of all disasters from 1950 to 2003. One of the hazardous floods of Iran occurred in Golestan and north of Khorasan provinces, located in north-east of the country, on August 2001 and 2002. In this regard, according to the responsibility of I. R. of Iran Meteorological Organization (IRIMO) on the flood forecasting, the early warning issue of the mentioned flood, issued within 48 hour's in

  1. Stories after disaster survival: Preparing, heeding warnings, and self-reliance.

    Science.gov (United States)

    Killian, Timothy S; Moon, Zola K; McNeill, Charleen C; Person-Michener, Joanna; Garrison, M E Betsy

    The purpose of the study was to examine the content of stories told by people personally impacted by disasters. Semistructured, qualitative interviews. Northwest part of a mid-south state. Fourteen disaster survivors who were recruited through their attendance at an emergency preparedness-related fair. Interview schedule based on previous research using the family resilience framework. Three themes emerged: prior emergency preparation, heeding warnings of impending disaster, and rural self-reliance. Participants had made prior emergency preparedness plans, but their personal experiences led to them adjusting their plans, or making more relevant plans for future disasters. Participants expressed the importance of sharing their experiences with family and community members, expressing hope that others would learn, vicariously rather than first-hand, from their experiences.

  2. The Indian Ocean disaster: Tsunami physics and early warning dilemmas

    Science.gov (United States)

    Lomnitz, Cinna; Nilsen-Hofseth, Sara

    Understanding the physics of tsunamis may save lives, especially near the epicenter of a large earthquake where the danger is highest and early warning is least likely to be effective.Normal modes of Earth are standing waves of the Love (toroidal) or the Rayleigh (spheroidal) variety. The Indian Ocean tsunami may have been partly or wholly caused by low-order spheroidal modes of the Earth such as 0S2, 0S3, and 0S4, that may have excited a waveguide—a layer that confines and guides a propagating wave—in the ocean.

  3. Information Dissemination Analysis of Different Media towards the Application for Disaster Pre-Warning

    OpenAIRE

    Zhang, Nan; Huang, Hong; Su, Boni; Zhao, Jinlong; Zhang, Bo

    2014-01-01

    Knowing the information dissemination mechanisms of different media and having an efficient information dissemination plan for disaster pre-warning plays a very important role in reducing losses and ensuring the safety of human beings. In this paper we established models of information dissemination for six typical information media, including short message service (SMS), microblogs, news portals, cell phones, television, and oral communication. Then, the information dissemination capability ...

  4. Towards a certification process for tsunami early warning systems

    Science.gov (United States)

    Löwe, Peter; Wächter, Jochen; Hammitzsch, Martin

    2013-04-01

    The natural disaster of the Boxing Day Tsunami of 2004 was followed by an information catastrophe. Crucial early warning information could not be delivered to the communities under imminent threat, resulting in over 240,000 casualties in 14 countries. This tragedy sparked the development of a new generation of integrated modular Tsunami Early Warning Systems (TEWS). While significant advances were accomplished in the past years, recent events, like the Chile 2010 and the Tohoku 2011 tsunami demonstrate that the key technical challenge for Tsunami Early Warning research on the supranational scale still lies in the timely issuing of status information and reliable early warning messages in a proven workflow. A second challenge stems from the main objective of the Intergovernmental Oceanographic Commission of UNESCO (IOC) Tsunami Programme, the integration of national TEWS towards ocean-wide networks: Each of the increasing number of integrated Tsunami Early Warning Centres has to cope with the continuing evolution of sensors, hardware and software while having to maintain reliable inter-center information exchange services. To avoid future information catastrophes, the performance of all components, ranging from individual sensors, to Warning Centers within their particular end-to-end Warning System Environments, and up to federated Systems of Tsunami Warning Systems has to be regularly validated against defined criteria. Since 2004, GFZ German Research Centre for Geosciences (GFZ) has built up expertise in the field of TEWS. Within GFZ, the Centre for GeoInformation Technology (CeGIT) has focused its work on the geoinformatics aspects of TEWS in two projects already, being the German Indonesian Tsunami Early Warning System (GITEWS) and the Distant Early Warning System (DEWS). This activity is continued in the TRIDEC project (Collaborative, Complex, and Critical Decision Processes in Evolving Crises) funded under the European Union's seventh Framework Programme (FP7

  5. Earthquake Loss Scenarios: Warnings about the Extent of Disasters

    Science.gov (United States)

    Wyss, M.; Tolis, S.; Rosset, P.

    2016-12-01

    It is imperative that losses expected due to future earthquakes be estimated. Officials and the public need to be aware of what disaster is likely in store for them in order to reduce the fatalities and efficiently help the injured. Scenarios for earthquake parameters can be constructed to a reasonable accuracy in highly active earthquake belts, based on knowledge of seismotectonics and history. Because of the inherent uncertainties of loss estimates however, it would be desirable that more than one group calculate an estimate for the same area. By discussing these estimates, one may find a consensus of the range of the potential disasters and persuade officials and residents of the reality of the earthquake threat. To model a scenario and estimate earthquake losses requires data sets that are sufficiently accurate of the number of people present, the built environment, and if possible the transmission of seismic waves. As examples we use loss estimates for possible repeats of historic earthquakes in Greece that occurred between -464 and 700. We model future large Greek earthquakes as having M6.8 and rupture lengths of 60 km. In four locations where historic earthquakes with serious losses have occurred, we estimate that 1,000 to 1,500 people might perish, with an additional factor of four people injured. Defining the area of influence of these earthquakes as that with shaking intensities larger and equal to V, we estimate that 1.0 to 2.2 million people in about 2,000 settlements may be affected. We calibrate the QLARM tool for calculating intensities and losses in Greece, using the M6, 1999 Athens earthquake and matching the isoseismal information for six earthquakes, which occurred in Greece during the last 140 years. Comparing fatality numbers that would occur theoretically today with the numbers reported, and correcting for the increase in population, we estimate that the improvement of the building stock has reduced the mortality and injury rate in Greek

  6. Radiation warning system in Slovenia (ROSS)

    International Nuclear Information System (INIS)

    Arh, S.

    1996-01-01

    Recognizing that a radiological accident may have a widespread effect, the Slovenian government has decided to establish an early warning system. The aim of it is to detect any incident (domestic or foreign) involving radioactivity as fast as possible, to initiate appropriate measures, and to give immediate warning to the population

  7. Strengthening flood warning systems: the benefits of encouraging social preparedness

    Science.gov (United States)

    Girons Lopez, Marc; Di Baldassarre, Giuliano; Seibert, Jan

    2017-04-01

    Flood warning and response have normally been focused on the technical aspects and disregarded the connections and feedbacks between the hydrological and social dimensions. An increasing body of research, however, points at the importance of considering socio-hydrological aspects to improve flood damage mitigation. One of the key factors is the preparedness of the public and first responders during flood situations, which is influenced by many behavioural traits such as perceived benefits, risk awareness, or denial. In this study, we investigate the impact of social preparedness on the efficiency of flood early warning systems by using the recency of flood experience as a proxy for social preparedness. To this end, we developed a stylised model and a synthetic data-set to perform a hypothetical analysis. The main findings point to the importance of social preparedness for flood loss mitigation, especially when the technical forecasting and warning capabilities are limited. More specifically, efforts to promote and preserve social preparedness may help to reduce disaster-induced losses by almost one half. The findings from this study provide insights into the importance of considering social preparedness in decision-making for disaster risk reduction.

  8. A tsunami early warning system for the coastal area modeling

    Science.gov (United States)

    Soebroto, Arief Andy; Sunaryo, Suhartanto, Ery

    2015-04-01

    The tsunami disaster is a potential disaster in the territory of Indonesia. Indonesia is an archipelago country and close to the ocean deep. The tsunami occurred in Aceh province in 2004. Early prevention efforts have been carried out. One of them is making "tsunami buoy" which has been developed by BPPT. The tool puts sensors on the ocean floor near the coast to detect earthquakes on the ocean floor. Detection results are transmitted via satellite by a transmitter placed floating on the sea surface. The tool will cost billions of dollars for each system. Another constraint was the transmitter theft "tsunami buoy" in the absence of guard. In this study of the system has a transmission system using radio frequency and focused on coastal areas where costs are cheaper, so that it can be applied at many beaches in Indonesia are potentially affected by the tsunami. The monitoring system sends the detection results to the warning system using a radio frequency with a capability within 3 Km. Test results on the sub module sensor monitoring system generates an error of 0.63% was taken 10% showed a good quality sensing. The test results of data transmission from the transceiver of monitoring system to the receiver of warning system produces 100% successful delivery and reception of data. The test results on the whole system to function 100% properly.

  9. Active Disaster Response System for a Smart Building

    Science.gov (United States)

    Lin, Chun-Yen; Chu, Edward T.-H; Ku, Lun-Wei; Liu, Jane W. S.

    2014-01-01

    Disaster warning and surveillance systems have been widely applied to help the public be aware of an emergency. However, existing warning systems are unable to cooperate with household appliances or embedded controllers; that is, they cannot provide enough time for preparedness and evacuation, especially for disasters like earthquakes. In addition, the existing warning and surveillance systems are not responsible for collecting sufficient information inside a building for relief workers to conduct a proper rescue action after a disaster happens. In this paper, we describe the design and implementation of a proof of concept prototype, named the active disaster response system (ADRS), which automatically performs emergency tasks when an earthquake happens. ADRS can interpret Common Alerting Protocol (CAP) messages, published by an official agency, and actuate embedded controllers to perform emergency tasks to respond to the alerts. Examples of emergency tasks include opening doors and windows and cutting off power lines and gas valves. In addition, ADRS can maintain a temporary network by utilizing the embedded controllers; hence, victims trapped inside a building are still able to post emergency messages if the original network is disconnected. We conducted a field trial to evaluate the effectiveness of ADRS after an earthquake happened. Our results show that compared to manually operating emergency tasks, ADRS can reduce the operation time by up to 15 s, which is long enough for people to get under sturdy furniture, or to evacuate from the third floor to the first floor, or to run more than 100 m. PMID:25237897

  10. Caltrans fog detection and warning system.

    Science.gov (United States)

    2009-01-01

    The California Department of Transportation (Caltrans) has implemented a fog detection and warning system on Highway 99 near Fresno. The entire central valley region is susceptible to Tule fog, which can reduce visibility tremendously, sometimes to n...

  11. Diversity of Rainfall Thresholds for early warning of hydro-geological disasters

    Directory of Open Access Journals (Sweden)

    D. L. De Luca

    2017-06-01

    Full Text Available For early warning of disasters induced by precipitation (such as floods and landslides, different kinds of rainfall thresholds are adopted, which vary from each other, on the basis on adopted hypotheses. In some cases, they represent the occurrence probability of an event (landslide or flood, in other cases the exceedance probability of a critical value for an assigned indicator I (a function of rainfall heights, and in further cases they only indicate the exceeding of a prefixed percentage a critical value for I, indicated as Icr. For each scheme, it is usual to define three different criticality levels (ordinary, moderate and severe, which are associated to warning levels, according to emergency plans. This work briefly discusses different schemes of rainfall thresholds, focusing attention on landslide prediction, with some applications to a real case study in Calabria region (southern Italy.

  12. ATTACK WARNING: Costs to Modernize NORAD's Computer System Significantly Understated

    National Research Council Canada - National Science Library

    Cross, F

    1991-01-01

    ...) Integrated Tactical Warning and Attack Assessment (ITW/AA) system. These subsystems provide critical strategic surveillance and attack warning and assessment information to United States and Canadian leaders...

  13. The Pacific tsunami warning system

    Science.gov (United States)

    Pararas-Carayannis, G.

    1986-01-01

    Of all natural disasters, tsunamis are among the most terrifying and complex phenomena, responsible for great loss of lives and vast destruction of property. Enormous destruction of coastal communities has taken place throughout the world by such great waves since the beginning of recorded history.

  14. The early warning application role in facing the environmental crisis and disasters: "Preliminarily risk management strategy for the greater city of Cairo"

    Directory of Open Access Journals (Sweden)

    Ghoneem Yousef M.

    2013-01-01

    Full Text Available Natural disasters are inevitable and it is almost impossible to fully recoup the damage caused by the disasters. But it is possible to minimize the potential risk by developing disaster early warning strategies, methods using the new technology applications which play a crucial role in efficient mitigation and management of disasters. This paper describes the importance of the remote sensing and Geographical Information System (GIS in evolving a suitable strategy for disaster, crises and risk management using these technologies. The main objective of this paper is to make a Preliminary risk management plan (it is a logical and systematic method of identifying, analyzing, treating and monitoring the risks involved in any activity or process. This process helps Administrations to focus on priorities and in decisions on deploying limited resources to deal with the highest risks using the Environmental risk map of the greater city of Cairo demonstrating the most high-risk administrative areas in the city, supported by field evidence and different sources of information. to reduce the loss of life and property and protect the Nation from all hazards, including natural disasters and other man-made disasters, by leading and supporting the Nation in a risk-based, comprehensive emergency management system of preparedness, protection, response, recovery, and mitigation. This study has shown that how can the early warning Applications can be useful in analyzing, Integrating and managing different datasets for predicting the environmental crises and disasters that may affect the urbanism inside the city and help in the preparation of the Risk management plan.

  15. Evaluating the effectiveness of warning systems for nuclear power plant emergencies: criteria and application

    International Nuclear Information System (INIS)

    Sorensen, J.H.

    1984-01-01

    The accident at Three Mile Island Nuclear Power Plant in 1979 was an emergency management disaster. Chief among the problems was ineffective public warning and communications. While it is difficult to assign blame for that condition to any given party or determine if it was due to unique situational factors, the failure led to fairly significant regulatory changes in the arena of public warning and notification. These changes are intended to avoid the problems that arose during the TMI accident. This chapter reviews these regulations and suggests an alternative set of criteria for evaluating warning systems. The criteria are used to assess the effectiveness of the warning system at the Ft. St. Vrain nuclear power plant in Colorado. The paper concludes with some discussion of the lessons learned from the TMI experience as they apply to warning systems for all nuclear generating stations

  16. Evolution of tsunami warning systems and products.

    Science.gov (United States)

    Bernard, Eddie; Titov, Vasily

    2015-10-28

    Each year, about 60 000 people and $4 billion (US$) in assets are exposed to the global tsunami hazard. Accurate and reliable tsunami warning systems have been shown to provide a significant defence for this flooding hazard. However, the evolution of warning systems has been influenced by two processes: deadly tsunamis and available technology. In this paper, we explore the evolution of science and technology used in tsunami warning systems, the evolution of their products using warning technologies, and offer suggestions for a new generation of warning products, aimed at the flooding nature of the hazard, to reduce future tsunami impacts on society. We conclude that coastal communities would be well served by receiving three standardized, accurate, real-time tsunami warning products, namely (i) tsunami energy estimate, (ii) flooding maps and (iii) tsunami-induced harbour current maps to minimize the impact of tsunamis. Such information would arm communities with vital flooding guidance for evacuations and port operations. The advantage of global standardized flooding products delivered in a common format is efficiency and accuracy, which leads to effectiveness in promoting tsunami resilience at the community level. © 2015 The Authors.

  17. Structure health assessment and warning system (SHAWS)

    Science.gov (United States)

    Bock, Daniel M.; Kim, Keehoon; Mapar, Jalal

    2008-03-01

    We are developing a Structure Health Assessment and Warning System (SHAWS) based on building displacement measurements and wireless communication. SHAWS will measure and predict the stability/instability of a building, determine whether it is safe for emergency responders to enter during an emergency, and provide individual warnings on the condition of the structure. SHAWS incorporates remote sensing nodes (RSNs) installed on the exterior frame of a building. Each RSN includes a temperature sensor, a three-axis accelerometer making static-acceleration measurements, and a ZigBee wireless system (IEEE 802.15.4). The RSNs will be deployed remotely using an air cannon delivery system, with each RSN having an innovative adhesive structure for fast (<10 min) and strong installation under emergency conditions. Once the building has moved past a threshold (~0.25 in./building story), a warning will be issued to emergency responders. In addition to the RSNs, SHAWS will include a base station located on an emergency responder's primary vehicle, a PDA for mobile data display to guide responders, and individual warning modules that can be worn by each responder. The individual warning modules will include visual and audio indicators with a ZigBee receiver to provide the proper degree of warning to each responder.

  18. Evolution of tsunami warning systems and products

    Science.gov (United States)

    Bernard, Eddie; Titov, Vasily

    2015-01-01

    Each year, about 60 000 people and $4 billion (US$) in assets are exposed to the global tsunami hazard. Accurate and reliable tsunami warning systems have been shown to provide a significant defence for this flooding hazard. However, the evolution of warning systems has been influenced by two processes: deadly tsunamis and available technology. In this paper, we explore the evolution of science and technology used in tsunami warning systems, the evolution of their products using warning technologies, and offer suggestions for a new generation of warning products, aimed at the flooding nature of the hazard, to reduce future tsunami impacts on society. We conclude that coastal communities would be well served by receiving three standardized, accurate, real-time tsunami warning products, namely (i) tsunami energy estimate, (ii) flooding maps and (iii) tsunami-induced harbour current maps to minimize the impact of tsunamis. Such information would arm communities with vital flooding guidance for evacuations and port operations. The advantage of global standardized flooding products delivered in a common format is efficiency and accuracy, which leads to effectiveness in promoting tsunami resilience at the community level. PMID:26392620

  19. People-centred landslide early warning systems in the context of risk management

    Science.gov (United States)

    Haß, S.; Asch, K.; Fernandez-Steeger, T.; Arnhardt, C.

    2009-04-01

    In the current hazard research people-centred warning becomes more and more important, because different types of organizations and groups have to be involved in the warning process. This fact has to be taken into account when developing early warning systems. The effectiveness of early warning depends not only on technical capabilities but also on the preparedness of decision makers and their immediate response on how to act in case of emergency. Hence early warning systems have to be regarded in the context of an integrated and holistic risk management. Disaster Risk Reduction (DRR) measures include people-centred, timely and understandable warning. Further responsible authorities have to be identified in advance and standards for risk communication have to be established. Up to now, hazard and risk assessment for geohazards focuses on the development of inventory, susceptibility, hazard and risk maps. But often, especially in Europe, there are no institutional structures for managing geohazards and in addition there is a lack of an authority that is legally obliged to alarm on landslides at national or regional level. One of the main characteristics within the warning process for natural hazards e.g. in Germany is the split of responsibility between scientific authorities (wissenschaftliche Fachbehörde) and enforcement authorities (Vollzugsbehörde). The scientific authority provides the experts who define the methods and measures for monitoring and evaluate the hazard level. The main focus is the acquisition and evaluation of data and subsequently the distribution of information. The enforcement authority issues official warnings about dangerous natural phenomena. Hence the information chain in the context of early warning ranges over two different institutions, the forecast service and the warning service. But there doesn't exist a framework for warning processes in terms of landslides as yet. The concept for managing natural disasters is often reduced to

  20. When a disaster strikes without warning: how effective is your response plan?

    Science.gov (United States)

    Steiner, P J

    2001-01-01

    When an outside high-pressure natural gas line was cut near the intakes to a hospital's ventilation system, gas was quickly dispersed throughout the building. The facility's disaster management plan faced a real-life test.

  1. Peculiarities of the Use of Satellite Information for Early Warning of Natural Meteorological and Hydrological Disasters in Georgia

    International Nuclear Information System (INIS)

    Shengelia, L.; Kordzakhia, G.; Tvauri, G.; Tatishvili, M.; Mkurnalidze, I.

    2009-01-01

    The peculiarities of the use of the information of the satellites for early warning of disasters of meteorological and hydrological origin for the territory of Georgia are investigated. The various characteristics of modern satellites and sensors installed are reviewed. The spheres of their implementation are indicated. The disasters that are typical of Georgia and to which the application of satellite information is effective are considered. (author)

  2. Environment Agency England flood warning systems

    Science.gov (United States)

    Strong, Chris; Walters, Mark; Haynes, Elizabeth; Dobson, Peter

    2015-04-01

    Context In England around 5 million homes are at risk of flooding. We invest significantly in flood prevention and management schemes but we can never prevent all flooding. Early alerting systems are fundamental to helping us reduce the impacts of flooding. The Environment Agency has had the responsibility for flood warning since 1996. In 2006 we invested in a new dissemination system that would send direct messages to pre-identified recipients via a range of channels. Since then we have continuously improved the system and service we offer. In 2010 we introduced an 'opt-out' service where we pre-registered landline numbers in flood risk areas, significantly increasing the customer base. The service has performed exceptionally well under intense flood conditions. Over a period of 3 days in December 2013, when England was experiencing an east coast storm surge, the system sent nearly 350,000 telephone messages, 85,000 emails and 70,000 text messages, with a peak call rate of around 37,000 per hour and 100% availability. The Floodline Warnings Direct (FWD) System FWD provides warnings in advance of flooding so that people at risk and responders can take action to minimise the impact of the flood. Warnings are sent via telephone, fax, text message, pager or e-mail to over 1.1 million properties located within flood risk areas in England. Triggers for issuing alerts and warnings include attained and forecast river levels and rainfall in some rapidly responding locations. There are three levels of warning: Flood Alert, Flood Warning and Severe Flood Warning, and a stand down message. The warnings can be updated to include relevant information to help inform those at risk. Working with our current provider Fujitsu, the system is under a programme of continuous improvement including expanding the 'opt-out' service to mobile phone numbers registered to at risk addresses, allowing mobile registration to the system for people 'on the move' and providing access to

  3. An integrated methodology to develop a standard for landslide early warning systems

    OpenAIRE

    Fathani, Teuku Faisal; Karnawati, Dwikorita; Wilopo, Wahyu

    2016-01-01

    Landslides are one of the most widespread and commonly occurring natural hazards. In regions of high vulnerability, these complex hazards can cause significant negative social and economic impacts. Considering the worldwide susceptibility to landslides, it is necessary to establish a standard for early warning systems specific to landslide disaster risk reduction. This standard would provide guidance in conducting landslide detection, prediction, interpretation, and response...

  4. On the importance of risk knowledge for an end-to-end tsunami early warning system

    Science.gov (United States)

    Post, Joachim; Strunz, Günter; Riedlinger, Torsten; Mück, Matthias; Wegscheider, Stephanie; Zosseder, Kai; Steinmetz, Tilmann; Gebert, Niklas; Anwar, Herryal

    2010-05-01

    Warning systems commonly use information provided by networks of sensors able to monitor and detect impending disasters, aggregate and condense these information to provide reliable information to a decision maker whether to warn or not, disseminates the warning message and provide this information to people at risk. Ultimate aim is to enable those in danger to make decisions (e.g. initiate protective actions for buildings) and to take action to safe their lives. This involves very complex issues when considering all four elements of early warning systems (UNISDR-PPEW), namely (1) risk knowledge, (2) monitoring and warning service, (3) dissemination and communication, (4) response capability with the ultimate aim to gain as much time as possible to empower individuals and communities to act in an appropriate manner to reduce injury, loss of life, damage to property and the environment and loss of livelihoods. Commonly most warning systems feature strengths and main attention on the technical/structural dimension (monitoring & warning service, dissemination tools) with weaknesses and less attention on social/cultural dimension (e.g. human response capabilities, defined warning chain to and knowing what to do by the people). Also, the use of risk knowledge in early warning most often is treated in a theoretical manner (knowing that it is somehow important), yet less in an operational, practical sense. Risk assessments and risk maps help to motivate people, prioritise early warning system needs and guide preparations for response and disaster prevention activities. Beyond this risk knowledge can be seen as a tie between national level early warning and community level reaction schemes. This presentation focuses on results, key findings and lessons-learnt related to tsunami risk assessment in the context of early warning within the GITEWS (German-Indonesian Tsunami Early Warning) project. Here a novel methodology reflecting risk information needs in the early warning

  5. Building regional early flood warning systems by AI techniques

    Science.gov (United States)

    Chang, F. J.; Chang, L. C.; Amin, M. Z. B. M.

    2017-12-01

    Building early flood warning system is essential for the protection of the residents against flood hazards and make actions to mitigate the losses. This study implements AI technology for forecasting multi-step-ahead regional flood inundation maps during storm events. The methodology includes three major schemes: (1) configuring the self-organizing map (SOM) to categorize a large number of regional inundation maps into a meaningful topology; (2) building dynamic neural networks to forecast multi-step-ahead average inundated depths (AID); and (3) adjusting the weights of the selected neuron in the constructed SOM based on the forecasted AID to obtain real-time regional inundation maps. The proposed models are trained, and tested based on a large number of inundation data sets collected in regions with the most frequent and serious flooding in the river basin. The results appear that the SOM topological relationships between individual neurons and their neighbouring neurons are visible and clearly distinguishable, and the hybrid model can continuously provide multistep-ahead visible regional inundation maps with high resolution during storm events, which have relatively small RMSE values and high R2 as compared with numerical simulation data sets. The computing time is only few seconds, and thereby leads to real-time regional flood inundation forecasting and make early flood inundation warning system. We demonstrate that the proposed hybrid ANN-based model has a robust and reliable predictive ability and can be used for early warning to mitigate flood disasters.

  6. Flood forecasting and early warning system for Dungun River Basin

    International Nuclear Information System (INIS)

    Hafiz, I; Sidek, L M; Basri, H; Fukami, K; Hanapi, M N; Livia, L; Nor, M D

    2013-01-01

    Floods can bring such disasters to the affected dweller due to loss of properties, crops and even deaths. The damages to properties and crops by the severe flooding are occurred due to the increase in the economic value of the properties as well as the extent of the flood. Flood forecasting and warning system is one of the examples of the non-structural measures which can give early warning to the affected people. People who live near the flood-prone areas will be warned so that they can evacuate themselves and their belongings before the arrival of the flood. This can considerably reduce flood loss and damage and above all, the loss of human lives. Integrated Flood Analysis System (IFAS) model is a runoff analysis model converting rainfall into runoff for a given river basin. The simulation can be done using either ground or satellite-based rainfall to produce calculated discharge within the river. The calculated discharge is used to generate the flood inundation map within the catchment area for the selected flood event using Infowork RS.

  7. An Infrastructure for a Traffic Warning System

    DEFF Research Database (Denmark)

    Brønsted, Jeppe; Hansen, Klaus Marius; Kristensen, Lars Michael

    2005-01-01

    The LIWAS Trafc Warning System aims at providingearly warning to vehicles about road conditions, such aswhether the road is slippery. The LIWAS system is currentlybeing developed and consists of two main parts:sensors for determining the state of the road and a communicationinfrastructure...... supporting inter-vehicle communication.This paper presents our results on requirementsidentication, design, and prototyping of the infrastructure.The infrastructure combines communication via mobilephones with communication based on the principles ofad-hoc networking, and it supports units in being...... updatedduring operation. The presented prototypes and associatedexperimental results demonstrate the main functionalitiesof the communication infrastructure, and have led to theinitial deployment of LIWAS units....

  8. Flood early warning system: sensors and internet

    NARCIS (Netherlands)

    Pengel, B.E.; Krzhizhanovskaya, V.V.; Melnikova, N.B.; Shirshov, G.S.; Koelewijn, A.R.; Pyayt, A.L.; Mokhov, I.I.; Chavoshian, A.; Takeuchi, K.

    2013-01-01

    The UrbanFlood early warning system (EWS) is designed to monitor data from very large sensornetworks in flood defences such as embankments, dikes, levees, and dams. The EWS, based on the internet, uses real-time sensor information and Artificial Intelligence (AI) to immediately calculate the

  9. OPERATIONAL REMOTE SENSING SERVICES IN NORTH EASTERN REGION OF INDIA FOR NATURAL RESOURCES MANAGEMENT, EARLY WARNING FOR DISASTER RISK REDUCTION AND DISSEMINATION OF INFORMATION AND SERVICES

    Directory of Open Access Journals (Sweden)

    P. L. N. Raju

    2016-06-01

    Full Text Available North Eastern Region (NER of India comprising of eight states considered to be most unique and one of the most challenging regions to govern due to its unique physiographic condition, rich biodiversity, disaster prone and diverse socio-economic characteristics. Operational Remote Sensing services increased manifolds in the region with the establishment of North Eastern Space Applications Centre (NESAC in the year 2000. Since inception, NESAC has been providing remote sensing services in generating inventory, planning and developmental activities, and management of natural resources, disasters and dissemination of information and services through geo-web services for NER. The operational remote sensing services provided by NESAC can be broadly divided into three categories viz. natural resource planning and developmental services, disaster risk reduction and early warning services and information dissemination through geo-portal services. As a apart of natural resources planning and developmental services NESAC supports the state forest departments in preparing the forest working plans by providing geospatial inputs covering entire NER, identifying the suitable culturable wastelands for cultivation of silkworm food plants, mapping of natural resources such as land use/land cover, wastelands, land degradation etc. on temporal basis. In the area of disaster risk reduction, NESAC has initiated operational services for early warning and post disaster assessment inputs for flood early warning system (FLEWS using satellite remote sensing, numerical weather prediction, hydrological modeling etc.; forest fire alert system with actionable attribute information; Japanese Encephalitis Early Warning System (JEWS based on mosquito vector abundance, pig population and historical disease intensity and agriculture drought monitoring for the region. The large volumes of geo-spatial databases generated as part of operational services are made available to the

  10. Operational Remote Sensing Services in North Eastern Region of India for Natural Resources Management, Early Warning for Disaster Risk Reduction and Dissemination of Information and Services

    Science.gov (United States)

    Raju, P. L. N.; Sarma, K. K.; Barman, D.; Handique, B. K.; Chutia, D.; Kundu, S. S.; Das, R. Kr.; Chakraborty, K.; Das, R.; Goswami, J.; Das, P.; Devi, H. S.; Nongkynrih, J. M.; Bhusan, K.; Singh, M. S.; Singh, P. S.; Saikhom, V.; Goswami, C.; Pebam, R.; Borgohain, A.; Gogoi, R. B.; Singh, N. R.; Bharali, A.; Sarma, D.; Lyngdoh, R. B.; Mandal, P. P.; Chabukdhara, M.

    2016-06-01

    North Eastern Region (NER) of India comprising of eight states considered to be most unique and one of the most challenging regions to govern due to its unique physiographic condition, rich biodiversity, disaster prone and diverse socio-economic characteristics. Operational Remote Sensing services increased manifolds in the region with the establishment of North Eastern Space Applications Centre (NESAC) in the year 2000. Since inception, NESAC has been providing remote sensing services in generating inventory, planning and developmental activities, and management of natural resources, disasters and dissemination of information and services through geo-web services for NER. The operational remote sensing services provided by NESAC can be broadly divided into three categories viz. natural resource planning and developmental services, disaster risk reduction and early warning services and information dissemination through geo-portal services. As a apart of natural resources planning and developmental services NESAC supports the state forest departments in preparing the forest working plans by providing geospatial inputs covering entire NER, identifying the suitable culturable wastelands for cultivation of silkworm food plants, mapping of natural resources such as land use/land cover, wastelands, land degradation etc. on temporal basis. In the area of disaster risk reduction, NESAC has initiated operational services for early warning and post disaster assessment inputs for flood early warning system (FLEWS) using satellite remote sensing, numerical weather prediction, hydrological modeling etc.; forest fire alert system with actionable attribute information; Japanese Encephalitis Early Warning System (JEWS) based on mosquito vector abundance, pig population and historical disease intensity and agriculture drought monitoring for the region. The large volumes of geo-spatial databases generated as part of operational services are made available to the administrators and

  11. Automatic early warning systems for the environment

    Directory of Open Access Journals (Sweden)

    Lesjak Martin

    2003-01-01

    Full Text Available Computerized, continuous monitoring environmental early warning systems are complex networks that merge measurements with the information technology. Accuracy, consistency, reliability and data quality are their most important features. Several effects may disturb their characteristics: hostile environment, unreliable communications, poor quality of equipment nonqualified users or service personnel. According to our experiences, a number of measures should be taken to enhance system performances and to maintain them at the desired level. In the paper, we are presenting an analysis of system requirements, possible disturbances and corrective measures that give the main directives for the design, construction and exploitation of the environmental early warning systems. Procedures which ensure data integrity and quality are mentioned. Finally, the contemporary system approach based on the LAN/WAN network topology with Intranet/Internet software is proposed, together with case descriptions of two already operating systems, based on computer-network principle.

  12. Study of Earthquake Disaster Prediction System of Langfang city Based on GIS

    Science.gov (United States)

    Huang, Meng; Zhang, Dian; Li, Pan; Zhang, YunHui; Zhang, RuoFei

    2017-07-01

    In this paper, according to the status of China’s need to improve the ability of earthquake disaster prevention, this paper puts forward the implementation plan of earthquake disaster prediction system of Langfang city based on GIS. Based on the GIS spatial database, coordinate transformation technology, GIS spatial analysis technology and PHP development technology, the seismic damage factor algorithm is used to predict the damage of the city under different intensity earthquake disaster conditions. The earthquake disaster prediction system of Langfang city is based on the B / S system architecture. Degree and spatial distribution and two-dimensional visualization display, comprehensive query analysis and efficient auxiliary decision-making function to determine the weak earthquake in the city and rapid warning. The system has realized the transformation of the city’s earthquake disaster reduction work from static planning to dynamic management, and improved the city’s earthquake and disaster prevention capability.

  13. Debris flow early warning systems in Norway: organization and tools

    Science.gov (United States)

    Kleivane, I.; Colleuille, H.; Haugen, L. E.; Alve Glad, P.; Devoli, G.

    2012-04-01

    In Norway, shallow slides and debris flows occur as a combination of high-intensity precipitation, snowmelt, high groundwater level and saturated soil. Many events have occurred in the last decades and are often associated with (or related to) floods events, especially in the Southern of Norway, causing significant damages to roads, railway lines, buildings, and other infrastructures (i.e November 2000; August 2003; September 2005; November 2005; Mai 2008; June and Desember 2011). Since 1989 the Norwegian Water Resources and Energy Directorate (NVE) has had an operational 24 hour flood forecasting system for the entire country. From 2009 NVE is also responsible to assist regions and municipalities in the prevention of disasters posed by landslides and snow avalanches. Besides assisting the municipalities through implementation of digital landslides inventories, susceptibility and hazard mapping, areal planning, preparation of guidelines, realization of mitigation measures and helping during emergencies, NVE is developing a regional scale debris flow warning system that use hydrological models that are already available in the flood warning systems. It is well known that the application of rainfall thresholds is not sufficient to evaluate the hazard for debris flows and shallow slides, and soil moisture conditions play a crucial role in the triggering conditions. The information on simulated soil and groundwater conditions and water supply (rain and snowmelt) based on weather forecast, have proved to be useful variables that indicate the potential occurrence of debris flows and shallow slides. Forecasts of runoff and freezing-thawing are also valuable information. The early warning system is using real-time measurements (Discharge; Groundwater level; Soil water content and soil temperature; Snow water equivalent; Meteorological data) and model simulations (a spatially distributed version of the HBV-model and an adapted version of 1-D soil water and energy balance

  14. For establishment on nuclear disaster prevention system

    International Nuclear Information System (INIS)

    Anon.

    2000-01-01

    For increasing requirement of peoples for review of nuclear disaster countermeasure at a chance of the JCO critical accident, the Japanese Government newly established the 'Special Measure Act on Nuclear Disaster Countermeasure', which was enacted on July 16, 2000. The nuclear business relatives such as electric power company and so forth established the Business program on nuclear disaster prevention in nuclear business relatives' after their consultation with local communities at their construction, under their co-operation. Simultaneously, the electric power industry field decided to intend to provide some sufficient countermeasures to incidental formation of nuclear accident such as start of the Co-operative agreement on nuclear disaster prevention among the nuclear business relatives' and so forth. Here were described on nuclear safety and disaster prevention, nuclear disaster prevention systems at the electric power industry field, abstract on 'Business program on nuclear disaster prevention in nuclear business relatives', preparation of technical assistance system for nuclear disaster prevention, executive methods and subjects on nuclear disaster prevention at construction areas, recent business on nuclear disaster prevention at the Nuclear Technical Center, and subjects on establishment of nuclear disaster prevention system. (G.K.)

  15. Web3DGIS-Based System for Reservoir Landslide Monitoring and Early Warning

    OpenAIRE

    Huang Huang; Jianhua Ni; Yu Zhang; Tianlu Qian; Dingtao Shen; Jiechen Wang

    2016-01-01

    Landslides are the most frequent type of natural disaster, and they bring about large-scale damage and are a threat to human lives and infrastructure; therefore, the ability to conduct real-time monitoring and early warning is important. In this study, a Web3DGIS (Web3D geographic information systems) system for monitoring and forecasting landslides was developed using the Danjiangkou Reservoir area as a case study. The development of this technique involved system construction, functional de...

  16. Unmanned Aerial Vehicle Systems for Disaster Relief: Tornado Alley

    Science.gov (United States)

    DeBusk, Wesley M.

    2009-01-01

    Unmanned aerial vehicle systems are currently in limited use for public service missions worldwide. Development of civil unmanned technology in the United States currently lags behind military unmanned technology development in part because of unresolved regulatory and technological issues. Civil unmanned aerial vehicle systems have potential to augment disaster relief and emergency response efforts. Optimal design of aerial systems for such applications will lead to unmanned vehicles which provide maximum potentiality for relief and emergency response while accounting for public safety concerns and regulatory requirements. A case study is presented that demonstrates application of a civil unmanned system to a disaster relief mission with the intent on saving lives. The concept utilizes unmanned aircraft to obtain advanced warning and damage assessments for tornados and severe thunderstorms. Overview of a tornado watch mission architecture as well as commentary on risk, cost, need for, and design tradeoffs for unmanned aerial systems are provided.

  17. Toward a cross-border early-warning system for Central Asia

    Directory of Open Access Journals (Sweden)

    Jacek Stankiewicz

    2015-04-01

    Full Text Available Rapidly expanding urban areas in Central Asia are increasingly vulnerable to seismic risk; but at present, no earthquake early warning (EEW systems exist in the region despite their successful implementation in other earthquake-prone areas. Such systems aim to provide short (seconds to tens of seconds warnings of impending disaster, enabling the first risk mitigation and damage control steps to be taken. This study presents the feasibility of a large scale cross-border regional system for Central Asian countries. Genetic algorithms are used to design efficient EEW networks, computing optimal station locations and trigger thresholds in recorded ground acceleration. Installation of such systems within 3 years aims to both reducing the endemic lack of strong motion data in Central Asia that is limiting the possibility of improving seismic hazard assessment, and at providing the first regional earthquake early warning system in the area.

  18. Global early warning systems for natural hazards: systematic and people-centred.

    Science.gov (United States)

    Basher, Reid

    2006-08-15

    To be effective, early warning systems for natural hazards need to have not only a sound scientific and technical basis, but also a strong focus on the people exposed to risk, and with a systems approach that incorporates all of the relevant factors in that risk, whether arising from the natural hazards or social vulnerabilities, and from short-term or long-term processes. Disasters are increasing in number and severity and international institutional frameworks to reduce disasters are being strengthened under United Nations oversight. Since the Indian Ocean tsunami of 26 December 2004, there has been a surge of interest in developing early warning systems to cater to the needs of all countries and all hazards.

  19. Is your automated system disaster proof?

    International Nuclear Information System (INIS)

    Baird, P.W.; Priest, S.A.

    1990-01-01

    Disaster-proofing a system has four basic steps: (1) development of a disaster recovery plan; (2) creation and enforcement of procedures for developing and maintaining off-site back-ups for data, vital records, and documentation; (3) a performance test of the disaster recovery plan; and (4) the on-going maintenance of a plans currency and the periodic testing of the plant. The development of a complete disaster recovery plan has many elements: the operating environment for the system; the criteria under which an off-site recovery would be initiated; the back-up schedule and locations of all data; vital records and documentation; the steps required to recover the system; and any modifications necessitated by the off-site operating environment. Creation and enforcement of procedures for developing and maintaining current backups for all data, vital records, and documentation in a designated off-site location represent the second and most crucial step for ensuring an automated system can successfully survive a disaster. To effectively test any plan, a disaster scenario must be developed and performed by a disaster recovery team required to recover and operate the system in the off-site environment using nothing more than the disaster recovery plan and off-site information and data. Finally, the last step for ensuring that a system can survive a disaster is the maintenance of the plans currency and the continued performance of disaster recovery tests. As the environment surrounding a system changes a disaster recovery plan must be updated to reflect these changes. Equally important to the maintenance of currency is the on-going performance of disaster recovery tests on a periodic basis

  20. Geoethical issues involved in Tsunami Warning System concepts and operations

    Science.gov (United States)

    Charalampakis, Marinos; Papadopoulos, Gerassimos A.; Tinti, Stefano

    2016-04-01

    The main goal of a Tsunami Warning System (TWS) is to mitigate the effect of an incoming tsunami by alerting coastal population early enough to allow people to evacuate safely from inundation zones. Though this representation might seem oversimplified, nonetheless, achieving successfully this goal requires a positive synergy of geoscience, communication, emergency management, technology, education, social sciences, politics. Geoethical issues arise always when there is an interaction between geoscience and society, and TWS is a paradigmatic case where interaction is very strong and is made critical because a) the formulation of the tsunami alert has to be made in a time as short as possible and therefore on uncertain data, and b) any evaluation error (underestimation or overestimation) can lead to serious (and sometimes catastrophic) consequences involving wide areas and a large amount of population. From the geoethical point of view three issues are critical: how to (i) combine forecasts and uncertainties reasonably and usefully, (ii) cope and possibly solve the dilemma whether it is better over-alerting or under-alerting population and (iii) deal with responsibility and liability of geoscientists, TWS operators, emergency operators and coastal population. The discussion will be based on the experience of the Hellenic National Tsunami Warning Center (HL-NTWC, Greece), which operates on 24/7 basis as a special unit of the Institute of Geodynamics, National Observatory of Athens, and acts also as Candidate Tsunami Service Provider (CTSP) in the framework of the North-Eastern Atlantic, the Mediterranean and connected seas Tsunami Warning System (NEAMTWS) of the IOC/UNESCO. Since August 2012, when HL-NTWC was officially declared as operational, 14 tsunami warning messages have been disseminated to a large number of subscribers after strong submarine earthquakes occurring in Greece and elsewhere in the eastern Mediterranean. It is recognized that the alerting process

  1. Challenges of communication system during emergency disaster ...

    African Journals Online (AJOL)

    pc

    2017-10-05

    Oct 5, 2017 ... 3.2.3.Satellite-Based Communication. Satellite-based communication is another alternative for communication in the event of disaster. Japan, United States of America and Russia are the countries that have utilised the system to disseminate emergency messages during previous disasters. Satellite-based.

  2. The Namibia Early Flood Warning System, A CEOS Pilot Project

    Science.gov (United States)

    Mandl, Daniel; Frye, Stuart; Cappelaere, Pat; Sohlberg, Robert; Handy, Matthew; Grossman, Robert

    2012-01-01

    Over the past year few years, an international collaboration has developed a pilot project under the auspices of Committee on Earth Observation Satellite (CEOS) Disasters team. The overall team consists of civilian satellite agencies. For this pilot effort, the development team consists of NASA, Canadian Space Agency, Univ. of Maryland, Univ. of Colorado, Univ. of Oklahoma, Ukraine Space Research Institute and Joint Research Center(JRC) for European Commission. This development team collaborates with regional , national and international agencies to deliver end-to-end disaster coverage. In particular, the team in collaborating on this effort with the Namibia Department of Hydrology to begin in Namibia . However, the ultimate goal is to expand the functionality to provide early warning over the South Africa region. The initial collaboration was initiated by United Nations Office of Outer Space Affairs and CEOS Working Group for Information Systems and Services (WGISS). The initial driver was to demonstrate international interoperability using various space agency sensors and models along with regional in-situ ground sensors. In 2010, the team created a preliminary semi-manual system to demonstrate moving and combining key data streams and delivering the data to the Namibia Department of Hydrology during their flood season which typically is January through April. In this pilot, a variety of moderate resolution and high resolution satellite flood imagery was rapidly delivered and used in conjunction with flood predictive models in Namibia. This was collected in conjunction with ground measurements and was used to examine how to create a customized flood early warning system. During the first year, the team made use of SensorWeb technology to gather various sensor data which was used to monitor flood waves traveling down basins originating in Angola, but eventually flooding villages in Namibia. The team made use of standardized interfaces such as those articulated

  3. New Map Symbol System for Disaster Management

    Science.gov (United States)

    Marinova, Silvia T.

    2018-05-01

    In the last 10 years Bulgaria was frequently affected by natural and man-made disasters that caused considerable losses. According to the Bulgarian Disaster Management Act (2006) disaster management should be planned at local, regional and national level. Disaster protection is based on plans that include maps such as hazard maps, maps for protection, maps for evacuation planning, etc. Decision-making and cooperation between two or more neighboring municipalities or regions in crisis situation are still rendered difficult because the maps included in the plans differ in scale, colors, map symbols and cartographic design. To improve decision-making process in case of emergency and to reduce the number of human loss and property damages disaster management plans at local and regional level should be supported by detailed thematic maps created in accordance with uniform contents, map symbol system and design. The paper proposes a new symbol system for disaster management that includes a four level hierarchical classification of objects and phenomena according to their type and origin. All objects and phenomena of this classification are divided into five categories: disasters; infrastructure; protection services and infrastructure for protection; affected people and affected infrastructure; operational sites and activities. The symbols of these categories are shown with different background colors and shapes so that they are identifiable. All the symbols have simple but associative design. The new symbol system is used in the design of a series of maps for disaster management at local and regional level.

  4. A review of studies on community based early warning systems

    OpenAIRE

    Margaret Macherera; Moses J. Chimbari

    2016-01-01

    Community-based early warning systems involve community driven collection and analysis of information that enable warning messages to help a community to react to a hazard and reduce the resulting loss or harm. Most early warning systems are designed at the national or global level. Local communities’ capacity to predict weather conditions using indigenous knowledge has been demonstrated in studies focusing on climate change and agriculture in some African countries. This review was motivated...

  5. Assessment of early warning system performance and improvements since it is in operational phase in Romania

    Science.gov (United States)

    Ionescu, Constantin; Marmureanu, Alexandru; Marmureanu, Gheorghe; Ortansa Cioflan, Carmen

    2017-04-01

    Earthquake represents a major natural disaster for Romanian territory. The main goal following the occurrence of a strong earthquake is to minimize the total number of fatalities. A rapid early warning system (REWS) was developed in Romania in order to provide 25-35 seconds warning time to Bucharest facilities for the earthquakes with M>5.0. The system consists of four components: a network of strong motion sensors installed in the epicentral area, a redundant communication network, an automatic analyzing system located in the Romanian Data Centre and an alert distribution system. The detection algorithm is based on the magnitude computation using strong motion data and rapid evaluation and scaling relation between the maximum P-wave acceleration measured in the epicentral area and the higher ground motion amplitude recorded in Bucharest. In order to reduce the damages caused by earthquakes, the exploitation of the up to date technology is very important. The information is the key point in the disaster management, and the internet is one of the most used instrument, implying also low costs. The Rapid Early Warning System was expanded to cover all countries affected by major earthquakes originating in the Vrancea seismic area and reduce their impact on existing installations of national interest in neighbouring Romania and elsewhere. REWS provides an efficient instrument for prevention and reaction based on the integrated system for seismic detection in South-Eastern Europe. REWS has been operational since 2013 and sends alert the authorities, hazardous facilities in Romania and Bulgaria (NPP, emergency response agencies etc.) and to public via twitter and some smartphone applications developed in the house. Also, NIEP is part of the UNESCO initiative case on developing a platform on earthquake early warning systems (IP-MEP) that aims to promote and strengthen the development of earthquake early warning systems in earthquake-prone regions of the world by sharing

  6. 49 CFR 234.211 - Security of warning system apparatus.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Security of warning system apparatus. 234.211... ADMINISTRATION, DEPARTMENT OF TRANSPORTATION GRADE CROSSING SIGNAL SYSTEM SAFETY AND STATE ACTION PLANS Maintenance, Inspection, and Testing Maintenance Standards § 234.211 Security of warning system apparatus...

  7. Assessment of disaster preparedness among emergency departments in Italian hospitals: a cautious warning for disaster risk reduction and management capacity.

    Science.gov (United States)

    Paganini, Matteo; Borrelli, Francesco; Cattani, Jonathan; Ragazzoni, Luca; Djalali, Ahmadreza; Carenzo, Luca; Della Corte, Francesco; Burkle, Frederick M Jr; Ingrassia, Pier Luigi

    2016-08-15

    Since the 1990s, Italian hospitals are required to comply with emergency disaster plans known as Emergency Plan for Massive Influx of Casualties. While various studies reveal that hospitals overall suffer from an insufficient preparedness level, the aim of this study was to better determine the preparedness level of Emergency Departments of Italian hospitals by assessing the knowledge-base of emergency physicians regarding basic disaster planning and procedures. A prospective observational study utilized a convenience sample of Italian Emergency Departments identified from the Italian Ministry of Health website. Anonymous telephone interviews were conducted of medical consultants in charge at the time in the respective Emergency Departments, and were structured in 3 parts: (1) general data and demographics, (2) the current disaster plan and (3) protocols and actions of the disaster plan. Eighty-five Emergency Departments met inclusion criteria, and 69 (81 %) agreed to undergo the interview. Only 45 % of participants declared to know what an Emergency Plan for Massive Influx of Casualties is, 41 % believed to know who has the authority to activate the plan, 38 % knew who is in charge of intra-hospital operations. In Part 3 physicians revealed a worrisome inconsistency in critical content knowledge of their answers. Results demonstrate a poor knowledge-base of basic hospital disaster planning concepts by Italian Emergency Department physicians-on-duty. These findings should alert authorities to enhance staff disaster preparedness education, training and follow-up to ensure that these plans are known to all who have responsibility for disaster risk reduction and management capacity.

  8. Post Disaster Assessment with Decision Support System

    Directory of Open Access Journals (Sweden)

    May Florence J. Franco

    2016-05-01

    Full Text Available The study aimed to develop an online system that would expedite the response of agencies after disaster strikes; generate a list of the kinds and volume of relief aids needed per family affected for a fair, precise and timely distribution; implement community-based ICT by remotely gathering all the necessary data needed for disaster assessment; and adhere to ISO 9126 standards. The system was designed to calculate the effects of disaster in human lives and economy. Integrated into the system were Goggle Maps, Mines and GeoSciences Bureau Hazard Maps, SMS sending features, best passable routes calculations, and decision support on the needs that has to be addressed. The system was made live at pdrrmcguimaras.herokuapp.com to allow remote data entry. The functionality and usability of the system were evaluated by 19 potential users by computing for the arithmetic Mean and Standard Deviation of the survey. The result showed that most of them strongly agreed that the system is acceptable based on these criteria. A group of IT experts also evaluated the system’s conformance to ISO 9126 standards using the same method. The result showed that majority of them strongly agreed that the system conforms to this international standard. The system is seen as a valuable tool for the Provincial Disaster Risk Reduction Management Council (PDRRMC and the National Disaster Risk Reduction Management Council (NDRRMC for it could help expedite the assessment of the effects of disasters and the formulation of response plans and strategies.

  9. A scheme for evaluating a local queue warning system.

    NARCIS (Netherlands)

    Botma, H. & Oei, H.-L.

    2018-01-01

    This article outlines a method of evaluating a 'local queue warning system', in principle intended only to warn drivers of unexpected congestion at known discontinuities of the road geomctry (bottleneck) and give them advisory speed indications. A prerequisite for installing this system is therefore

  10. dLOGIS: Disaster Logistics Information System

    Science.gov (United States)

    Koesuma, Sorja; Riantana, Rio; Siswanto, Budi; Aji Purnomo, Fendi; Lelono, Sarjoko

    2017-11-01

    There are three timing of disaster mitigation which is pre-disaster, emergency response and post-disaster. All of those is important in disaster mitigation, but emergency response is important when we are talking about time. Emergency response has limited time when we should give help. Rapid assessment of kind of logistic, the number of survivors, number children and old people, their gender and also for difable person. It should be done in emergency response time. Therefore we make a mobile application for logistics management system. The name of application is dLOGIS, i.e. Disaster Logistics Information System. The application is based on Android system for mobile phone. Otherwise there is also website version. The website version is for maintenance, data input and registration. So the people or government can use it directly when there is a disaster. After login in dLOGIS, there is five main menus. The first main menu shows disaster information, refugees conditions, logistics needed, available logistics stock and already accepted logistics. In the second menu is used for entering survivors data. The field coordinator can enter survivors data based on the rapid assessment in disaster location. The third menu is used for entering kind of logistic. Number and kind of logistics are based on the BNPB needed standard for the survivor. The fourth menu displays the logistics stock available in field coordinator. And the last menu displays the logistics help that already accepted and sent by donation. By using this application when a disaster happened, field coordinator or local government can use maintenance distribution of logistics base on their needs. Also for donor people who will give help to survivor, they can give logistics with the corresponding of survivor needs.

  11. Development of tsunami early warning systems and future challenges

    Directory of Open Access Journals (Sweden)

    J. Wächter

    2012-06-01

    Full Text Available Fostered by and embedded in the general development of information and communications technology (ICT, the evolution of tsunami warning systems (TWS shows a significant development from seismic-centred to multi-sensor system architectures using additional sensors (e.g. tide gauges and buoys for the detection of tsunami waves in the ocean.

    Currently, the beginning implementation of regional tsunami warning infrastructures indicates a new phase in the development of TWS. A new generation of TWS should not only be able to realise multi-sensor monitoring for tsunami detection. Moreover, these systems have to be capable to form a collaborative communication infrastructure of distributed tsunami warning systems in order to implement regional, ocean-wide monitoring and warning strategies.

    In the context of the development of the German Indonesian Tsunami Early Warning System (GITEWS and in the EU-funded FP6 project Distant Early Warning System (DEWS, a service platform for both sensor integration and warning dissemination has been newly developed and demonstrated. In particular, standards of the Open Geospatial Consortium (OGC and the Organization for the Advancement of Structured Information Standards (OASIS have been successfully incorporated.

    In the FP7 project Collaborative, Complex and Critical Decision-Support in Evolving Crises (TRIDEC, new developments in ICT (e.g. complex event processing (CEP and event-driven architecture (EDA are used to extend the existing platform to realise a component-based technology framework for building distributed tsunami warning systems.

  12. System i Disaster Recovery Planning

    CERN Document Server

    Dolewski, Richard

    2008-01-01

    Mapping out all the preparations necessary for an effective disaster recovery plan and its safeguard-a continuous maintenance program-this guide is aimed at IT managers of small and medium businesses. The opening section covers the initial steps of auditing vulnerability, ranking essential IT functions, and reviewing the storage of tape backups, with the following discussion focused on the elements of the plan itself. The plan includes a mission statement, a definition of disaster, the assignment of staff to teams, methods of compensating for human error, and standards for documenting the step

  13. Systems and Sensors for Debris-flow Monitoring and Warning

    Directory of Open Access Journals (Sweden)

    Lorenzo Marchi

    2008-04-01

    Full Text Available Debris flows are a type of mass movement that occurs in mountain torrents. They consist of a high concentration of solid material in water that flows as a wave with a steep front. Debris flows can be considered a phenomenon intermediate between landslides and water floods. They are amongst the most hazardous natural processes in mountainous regions and may occur under different climatic conditions. Their destructiveness is due to different factors: their capability of transporting and depositing huge amounts of solid materials, which may also reach large sizes (boulders of several cubic meters are commonly transported by debris flows, their steep fronts, which may reach several meters of height and also their high velocities. The implementation of both structural and nonstructural control measures is often required when debris flows endanger routes, urban areas and other infrastructures. Sensor networks for debris-flow monitoring and warning play an important role amongst non-structural measures intended to reduce debris-flow risk. In particular, debris flow warning systems can be subdivided into two main classes: advance warning and event warning systems. These two classes employ different types of sensors. Advance warning systems are based on monitoring causative hydrometeorological processes (typically rainfall and aim to issue a warning before a possible debris flow is triggered. Event warning systems are based on detecting debris flows when these processes are in progress. They have a much smaller lead time than advance warning ones but are also less prone to false alarms. Advance warning for debris flows employs sensors and techniques typical of meteorology and hydrology, including measuring rainfall by means of rain gauges and weather radar and monitoring water discharge in headwater streams. Event warning systems use different types of sensors, encompassing ultrasonic or radar gauges, ground vibration sensors, videocameras, avalanche

  14. Drought early warning system in I.R. of Iran

    International Nuclear Information System (INIS)

    Samadi, Sina; Jamali, Javad B.; Javanmard, Soheila

    2004-01-01

    Drought is a normal, recurring feature of climate; it occurs in virtually all climatic regimes. It occurs in high as well as low rainfall areas. Drought is the consequence of a natural reduction in the amount of precipitation received over an extended period of time, usually a season or more in length, although other climatic factors (such as high temperatures, high winds, and low relative humidity) are often associated with it in many regions of the world and can significantly aggravate the severity of the event. Most parts of the 1. R. of Iran have a high degree of aridity and pronounced rainfall variability in large parts of their territories and are therefore highly vulnerable to drought. Therefore, drought is one of greatest natural disasters in our country. Among all natural disasters, droughts occur the most frequently, have the longest duration, cover the largest area, and cause the greatest losses in agricultural production. The quantification of impacts and the provision of disaster relief are far more difficult tasks for drought than they are for other natural hazards. Since, the drought is a normal part of climate, it is difficult to determine its onset, development, and end. This fact emphasizes the importance of developing comprehensive monitoring or early warning systems. Drought prediction (monthly, seasonal, or yearly trends) is particularly useful for the drought planning and mitigation. Drought Early Warning System is applied as a pilot study during the last two years. The NDEWSI is based on the monitoring drought indices, such as SPI, Palmer and NDVI, and preparedness, where will be discussed in this paper. In this paper, we have presented a brief drought analysis using the SPI and demonstrated its potential use for drought analysis with minimal data requirements. It is our view that development of a drought monitoring system, based largely on meteorological and climatic information, can be a great help for early assessment of drought impacts in

  15. 14 CFR 91.223 - Terrain awareness and warning system.

    Science.gov (United States)

    2010-01-01

    ... to the terrain awareness and warning system audio and visual warnings. (d) Exceptions. Paragraphs (a... after March 29, 2002. Except as provided in paragraph (d) of this section, no person may operate a... minimum meets the requirements for Class B equipment in Technical Standard Order (TSO)-C151. (b) Airplanes...

  16. Design of vehicle intelligent anti-collision warning system

    Science.gov (United States)

    Xu, Yangyang; Wang, Ying

    2018-05-01

    This paper mainly designs a low cost, high-accuracy, micro-miniaturization, and digital display and acousto-optic alarm features of the vehicle intelligent anti-collision warning system that based on MCU AT89C51. The vehicle intelligent anti-collision warning system includes forward anti-collision warning system, auto parking systems and reversing anti-collision radar system. It mainly develops on the basis of ultrasonic distance measurement, its performance is reliable, thus the driving safety is greatly improved and the parking security and efficiency enhance enormously.

  17. The Integrated Information System for Natural Disaster Mitigation

    Directory of Open Access Journals (Sweden)

    Junxiu Wu

    2007-08-01

    Full Text Available Supported by the World Bank, the Integrated Information System for Natural Disaster Mitigation (ISNDM, including the operational service system and network telecommunication system, has been in development for three years in the Center of Disaster Reduction, Chinese Academy of Sciences, based on the platform of the GIS software Arcview. It has five main modules: disaster background information, socio- economic information, disaster-induced factors database, disaster scenarios database, and disaster assessment. ISNDM has several significant functions, which include information collection, information processing, data storage, and information distribution. It is a simple but comprehensive demonstration system for our national center for natural disaster reduction.

  18. Performance Analysis of a Citywide Real-time Landslide Early Warning System in Korea

    Science.gov (United States)

    Park, Joon-Young; Lee, Seung-Rae; Kang, Sinhang; Lee, Deuk-hwan; Nedumpallile Vasu, Nikhil

    2017-04-01

    Rainfall-induced landslide has been one of the major disasters in Korea since the beginning of 21st century when the global climate change started to give rise to the growth of the magnitude and frequency of extreme precipitation events. In order to mitigate the increasing damage to properties and loss of lives and to provide an effective tool for public officials to manage the landslide disasters, a real-time landslide early warning system with an advanced concept has been developed by taking into account for Busan, the second largest metropolitan city in Korea, as an operational test-bed. The system provides with warning information based on a five-level alert scheme (Normal, Attention, Watch, Alert, and Emergency) using the forecasted/observed rainfall data or the data obtained from ground monitoring (volumetric water content and matric suction). The alert levels are determined by applying seven different thresholds in a step-wise manner following a decision tree. In the pursuit of improved reliability of an early warning level assigned to a specific area, the system makes assessments repetitively using the thresholds of different theoretical backgrounds including statistical(empirical), physically-based, and mathematical analyses as well as direct measurement-based approaches. By mapping the distribution of the five early warning levels determined independently for each of tens of millions grids covering the entire mountainous area of Busan, the regional-scale system can also provide with the early warning information for a specific local area. The fact that the highest warning level is determined by using a concept of a numerically-modelled potential debris-flow risk is another distinctive feature of the system. This study tested the system performance by applying it for four previous rainy seasons in order to validate the operational applicability. During the rainy seasons of 2009, 2011, and 2014, the number of landslides recorded throughout Busan's territory

  19. Flood forecasting and warning systems in Pakistan

    International Nuclear Information System (INIS)

    Ali Awan, Shaukat

    2004-01-01

    Meteorologically, there are two situations which may cause three types of floods in Indus Basin in Pakistan: i) Meteorological Situation for Category-I Floods when the seasonal low is a semi permanent weather system situated over south eastern Balochistan, south western Punjab, adjoining parts of Sindh get intensified and causes the moisture from the Arabian Sea to be brought up to upper catchments of Chenab and Jhelum rivers. (ii) Meteorological Situation for Category-11 and Category-111 Floods, which is linked with monsoon low/depression. Such monsoon systems originate in Bay of Bengal region and then move across India in general west/north westerly direction arrive over Rajasthan or any of adjoining states of India. Flood management in Pakistan is multi-functional process involving a number of different organizations. The first step in the process is issuance of flood forecast/warning, which is performed by Pakistan Meteorological Department (PMD) utilizing satellite cloud pictures and quantitative precipitation measurement radar data, in addition to the conventional weather forecasting facilities. For quantitative flood forecasting, hydrological data is obtained through the Provincial Irrigation Department and WAPDA. Furthermore, improved rainfall/runoff and flood routing models have been developed to provide more reliable and explicit flood information to a flood prone population.(Author)

  20. Disaster warning and promoting human welfare - the civil and scientific uses of CTBTO data

    International Nuclear Information System (INIS)

    2011-12-01

    The Comprehensive Nuclear-Test-Ban Treaty (CTBT) bans all nuclear explosions. Its verification will be assured by the global alarm system currently being established by the Preparatory Commission for the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO). The 337 facilities of the International Monitoring System (IMS), which span the entire globe, ensure that no nuclear explosion escapes detection. The IMS uses four technologies - radionuclide, seismic, infrasound and hydroacoustic. More than 85% of this system has already been established (as of December 2011). Apart from detecting nuclear explosions, this one billion dollar investment by the CTBTO's more than 180 Member States can be put to a wide range of civil and scientific uses, thereby contributing to sustainable development, knowledge expansion and saving lives. However, to a large extent, these benefits are still untapped. Examples of civil and scientific uses:Detection and real time warning of - Earthquakes and tsunamis, Radiation dispersal from nuclear accidents, Volcanic eruptions; Research on - The Earth's core, Climate change, Meteorology, Break-up of ice shelves and the creation of icebergs, Oceans and marine life, Worldwide background radiation.

  1. The Effect of Activating Early Warning System on Motahari Hospital Preparedness

    Directory of Open Access Journals (Sweden)

    Vahid Delshad

    2015-10-01

    Full Text Available Background: One of the important aspects of hospital preparedness in disasters is its rapid early warning system. In this study, the activation of early warning system was evaluated under the monitoring of disasters workgroup of the Ministry of Health based on the national program of “hospitals preparedness in disasters” in Shahid Motahari Hospital.  Materials and Methods: The sample was composed of 801 adults exposed to the earthquake. Two months after the earthquake, all subjects were surveyed with measures administrated in a standard order as follows: demographic data sheet, disaster experiences scale (DES, general health questionnaire (GHQ, and symptom checklist 90-revised (SCL-90-R. Results: The results revealed that 23% of the survivors in the exposed group had ASD, 10% had anxiety symptoms, 7.5% depression, 4% MADD, 5% psychosomatic disorders, 10% phobia, 7% aggressive behavior, and 10% insomnia. Conclusion: This article has summarized the current status of information on mental disorders caused by experiencing or witnessing a life threatening severe earthquake. The experience of fear, helplessness, and panic during the earthquake, and the appraisal by the victims of serious psychological, social, as well as demographical consequences after the earthquake, were positively related to the subscale scores and the total score of GHQ, SCL-90-R, and DES.

  2. Russian eruption warning systems for aviation

    Science.gov (United States)

    Neal, C.; Girina, O.; Senyukov, S.; Rybin, A.; Osiensky, J.; Izbekov, P.; Ferguson, G.

    2009-01-01

    More than 65 potentially active volcanoes on the Kamchatka Peninsula and the Kurile Islands pose a substantial threat to aircraft on the Northern Pacific (NOPAC), Russian Trans-East (RTE), and Pacific Organized Track System (PACOTS) air routes. The Kamchatka Volcanic Eruption Response Team (KVERT) monitors and reports on volcanic hazards to aviation for Kamchatka and the north Kuriles. KVERT scientists utilize real-time seismic data, daily satellite views of the region, real-time video, and pilot and field reports of activity to track and alert the aviation industry of hazardous activity. Most Kurile Island volcanoes are monitored by the Sakhalin Volcanic Eruption Response Team (SVERT) based in Yuzhno-Sakhalinsk. SVERT uses daily moderate resolution imaging spectroradiometer (MODIS) satellite images to look for volcanic activity along this 1,250-km chain of islands. Neither operation is staffed 24 h per day. In addition, the vast majority of Russian volcanoes are not monitored seismically in real-time. Other challenges include multiple time-zones and language differences that hamper communication among volcanologists and meteorologists in the US, Japan, and Russia who share the responsibility to issue official warnings. Rapid, consistent verification of explosive eruptions and determination of cloud heights remain significant technical challenges. Despite these difficulties, in more than a decade of frequent eruptive activity in Kamchatka and the northern Kuriles, no damaging encounters with volcanic ash from Russian eruptions have been recorded. ?? Springer Science+Business Media B.V. 2009.

  3. Web3DGIS-Based System for Reservoir Landslide Monitoring and Early Warning

    Directory of Open Access Journals (Sweden)

    Huang Huang

    2016-02-01

    Full Text Available Landslides are the most frequent type of natural disaster, and they bring about large-scale damage and are a threat to human lives and infrastructure; therefore, the ability to conduct real-time monitoring and early warning is important. In this study, a Web3DGIS (Web3D geographic information systems system for monitoring and forecasting landslides was developed using the Danjiangkou Reservoir area as a case study. The development of this technique involved system construction, functional design, organizing and managing multi-source spatial data, and implementing a forecasting plan and landslide-forecasting model. By integrating sensor technologies, spatial information technologies, 3D visualization technologies, and a landslide-forecasting model, the results of this study provide a tool for real-time monitoring at potential landslide sites. When relevant data from these sites reach threshold values, the model automatically initiates forecasting procedures, and sends information to disaster prevention sectors for emergency management.

  4. Quantitative assessment of the effectiveness of a rockfall warning system

    Science.gov (United States)

    Bründl, Michael; Sättele, Martina; Krautblatter, Michael; Straub, Daniel

    2016-04-01

    Rockslides and rockfalls can pose high risk to human settlements and traffic infrastructure. In addition to structural mitigation measures like rockfall nets, warning systems are increasingly installed to reduce rockfall risks. Whereas for structural mitigation measures with reducing effects on the spatial extent a structured evaluation method is existing, no or only few approaches to assess the effectiveness for warning systems are known. Especially for higher magnitude rockfalls structural mitigation measures are not effective, and reliable early warning systems will be essential in future. In response to that, we developed a classification and a framework to assess the reliability and effectiveness of early warning systems (Sättele et al, 2015a; 2016). Here, we demonstrate an application for the rockfall warning system installed in Preonzo prior to a major rockfall in May 2012 (Sättele et al., 2015b). We show that it is necessary to design such a warning system as fail-safe construction, which has to incorporate components with low failure probabilities, high redundancy, low warning thresholds, and additional control systems. With a hypothetical probabilistic analysis, we investigate the effect of the risk attitude of decision makers and of the number of sensors on the probability of detecting an event and on initiating a timely evacuation, as well as on related intervention cost. We conclude that it is possible to quantitatively assess the effectiveness of warning systems, which helps to optimize mitigation strategies against rockfall events. References Sättele, M., Bründl, M., and Straub, D.: Reliability and effectiveness of warning systems for natural hazards: concept and application to debris flow warning, Rel. Eng. Syst. Safety, 142, 192-202, 2015a. Sättele, M., Krautblatter, M., Bründl, M., and Straub, D.: Forecasting rock slope failure: How reliable and effective are warning systems?, Landslides, 605, 1-14, 2015b. Sättele, M., Bründl, M., and

  5. Managing Risks? Early Warning Systems for Climate Change

    Science.gov (United States)

    Sitati, A. M.; Zommers, Z. A.; Habilov, M.

    2014-12-01

    Early warning systems are a tool with which to minimize risks posed by climate related hazards. Although great strides have been made in developing early warning systems most deal with one hazard, only provide short-term warnings and do not reach the most vulnerable. This presentation will review research results of the United Nations Environment Programme's CLIM-WARN project. The project seeks to identify how governments can better communicate risks by designing multi-hazard early warning systems that deliver actionable warnings across timescales. Household surveys and focus group discussions were conducted in 36 communities in Kenya, Ghana and Burkina Faso in order to identify relevant climate related hazards, current response strategies and early warning needs. Preliminary results show significant variability in both risks and needs within and between countries. For instance, floods are more frequent in rural western parts of Kenya. Droughts are frequent in the north while populations in urban areas face a range of hazards - floods, droughts, disease outbreaks - that sometimes occur simultaneously. The majority of the rural population, especially women, the disabled and the elderly, do not have access to modern media such as radio, television, or internet. While 55% of rural populace never watches television, 64% of urban respondents watch television on a daily basis. Communities have different concepts of how to design warning systems. It will be a challenge for national governments to create systems that accommodate such diversity yet provide standard quality of service to all. There is a need for flexible and forward-looking early warning systems that deliver broader information about risks. Information disseminated through the system could not only include details of hazards, but also long-term adaptation options, general education, and health information, thus increasingly both capabilities and response options.

  6. Flood disaster preparedness: a retrospect from Grand Forks, North Dakota.

    Science.gov (United States)

    Siders, C; Jacobson, R

    1998-01-01

    Natural disasters often come without warning. The clinical, financial, and business risks can be enormous. Grand Forks' (ND) healthcare systems experienced a flooding disaster of unprecedented proportions in April of 1997. Planned and practiced disaster and evacuation procedures can significantly reduce a healthcare facilities' risk to life, health, and safety. This article retrospectively analyzes disaster preparation and the complete evacuation of the facilities' patients.

  7. The Telemetric Early Warning Environmental Radiation Monitoring System of Cyprus

    Energy Technology Data Exchange (ETDEWEB)

    Christofides, S [Medical Physics Department, Nicosia General Hospital, Nicosia (Cyprus)

    1998-12-31

    This paper presents the hardware design, the development of the software and the use of the Telemetric Early Warning Environmental Radiation Monitoring System (TEWERMS) of Cyprus. (author). 3 refs, 6 figs.

  8. Challenges of communication system during emergency disaster ...

    African Journals Online (AJOL)

    The purpose of this review is to provide the overview of available systems and potential future systems for communication during disaster in Malaysia. Electronic searches in major subject loci databases such as MEDLINE (via PUBMED), Ovid, Science Direct, Scopus, IEEE Xplore digital library and Springer are used in ...

  9. Designing Fatigue Warning Systems: The perspective of professional drivers.

    Science.gov (United States)

    Meng, Fanxing; Li, Shuling; Cao, Lingzhi; Peng, Qijia; Li, Musen; Wang, Chunhui; Zhang, Wei

    2016-03-01

    Professional drivers have been characterized as experiencing heavy fatigue resulting from long driving time in their daily work. This study aimed to explore the potential demand of Fatigue Warning Systems (FWSs) among professional drivers as a means of reducing the danger of fatigue driving and to examine their opinions regarding the design of FWSs. Six focus groups with 35 participants and a questionnaire survey with 600 respondents were conducted among Chinese truck and taxi drivers to collect qualitative and quantitative data concerning the current situation of fatigue driving and opinions regarding the design of FWSs. The results revealed that both truck and taxi drivers had a positive attitude toward FWSs, and they hoped this system could not only monitor and warn them regarding their fatigue but also somewhat relieve their fatigue before they could stop and rest. As for warning signals, participants preferred auditory warnings, as opposed to visual, vibrotactile or electric stimuli. Interestingly, it was proposed that verbal warnings involving the information regarding consequences of fatigue driving or the wishes of drivers' family members would be more effective. Additionally, different warning patterns, including graded, single and continuous warnings, were discussed in the focus group. Finally, the participants proposed many other suggestions, as well as their concerns regarding FWSs, which will provide valuable information for companies who wish to develop FWSs for professional drivers. Copyright © 2015. Published by Elsevier Ltd.

  10. Time-to-impact estimation in passive missile warning systems

    Science.gov (United States)

    Şahıngıl, Mehmet Cihan

    2017-05-01

    A missile warning system can detect the incoming missile threat(s) and automatically cue the other Electronic Attack (EA) systems in the suit, such as Directed Infrared Counter Measure (DIRCM) system and/or Counter Measure Dispensing System (CMDS). Most missile warning systems are currently based on passive sensor technology operating in either Solar Blind Ultraviolet (SBUV) or Midwave Infrared (MWIR) bands on which there is an intensive emission from the exhaust plume of the threatening missile. Although passive missile warning systems have some clear advantages over pulse-Doppler radar (PDR) based active missile warning systems, they show poorer performance in terms of time-to-impact (TTI) estimation which is critical for optimizing the countermeasures and also "passive kill assessment". In this paper, we consider this problem, namely, TTI estimation from passive measurements and present a TTI estimation scheme which can be used in passive missile warning systems. Our problem formulation is based on Extended Kalman Filter (EKF). The algorithm uses the area parameter of the threat plume which is derived from the used image frame.

  11. Sensing the danger. Can tsunami early warning systems benefit from test ban monitoring?

    International Nuclear Information System (INIS)

    Zerbo, L.

    2005-01-01

    An editorial in the February 2005 edition of the Magazine for European Research pointed to the very issue of responsibility: Improvements are always possible, of course, but the very nature of a 'natural disaster' is that while not entirely absolving humans of responsibility it surpasses our means to deal with and even understand the forces at work. But science can help enhance our knowledge. For if there is one subject that the Asian tragedy has highlighted, it is the importance of putting in place coordinated early warning systems for earthquakes and, in particular, the absence of effective monitoring of tsunamis in the Indian Ocean. A concerted effort is now being made to develop a coordinated system of systems - bringing together organizations and initiatives that together can put in place an early warning system. The Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO), set-up to monitor adherence to the Comprehensive Nuclear-Test-Ban Treaty, is one organization seen to contribute to a coordinated early warning system

  12. Reliability and effectiveness of early warning systems for natural hazards: Concept and application to debris flow warning

    International Nuclear Information System (INIS)

    Sättele, Martina; Bründl, Michael; Straub, Daniel

    2015-01-01

    Early Warning Systems (EWS) are increasingly applied to mitigate the risks posed by natural hazards. To compare the effect of EWS with alternative risk reduction measures and to optimize their design and operation, their reliability and effectiveness must be quantified. In the present contribution, a framework approach to the evaluation of threshold-based EWS for natural hazards is presented. The system reliability is classically represented by the Probability of Detection (POD) and Probability of False Alarms (PFA). We demonstrate how the EWS effectiveness, which is a measure of risk reduction, can be formulated as a function of POD and PFA. To model the EWS and compute the reliability, we develop a framework based on Bayesian Networks, which is further extended to a decision graph, facilitating the optimization of the warning system. In a case study, the framework is applied to the assessment of an existing debris flow EWS. The application demonstrates the potential of the framework for identifying the important factors influencing the effectiveness of the EWS and determining optimal warning strategies and system configurations. - Highlights: • Warning systems are increasingly applied measures to reduce natural hazard risks. • Bayesian Networks (BN) are powerful tools to quantify warning system's reliability. • The effectiveness is defined to assess the optimality of warning systems. • By extending BNs to decision graphs, the optimal warning strategy is identified. • Sensors positioning significantly influence the effectiveness of warning systems

  13. Leakage warning system for flexible underwater pipelines

    Energy Technology Data Exchange (ETDEWEB)

    Moeller, E; Bernstein, L

    1985-08-01

    Underwater pipelines for unloading oil tankers, e.g. in 30 km distance from the harbour site, are required to be flexible and require supervision. This is done by implementation of oil sensitive sensors between the inner rubber tube and the following impregnated textile layer. The generated sensor signals, influenced by leak oil, have to be wireless transmitted from 150 meters under water to the supervisory station at the coast. Sensor configurations are described, to derive the point of the leakage from the topologized warning signals.

  14. A Prototype Flood Early Warning SensorWeb System for Namibia

    Science.gov (United States)

    Sohlberg, R. A.; Mandl, D.; Frye, S. W.; Cappelaere, P. G.; Szarzynski, J.; Policelli, F.; van Langenhove, G.

    2010-12-01

    During the past two years, there have been extensive floods in the country of Namibia, Africa which have affected up to a quarter of the population. Via a collaboration between a group funded by the Earth Science Technology Office (ESTO) at NASA that has been performing various SensorWeb prototyping activities for disasters, the Department of Hydrology in Namibia and the United Nations Space-based Information for Disaster and Emergency Response (UN-SPIDER) , experiments were conducted on how to apply various satellite resources integrated into a SensorWeb architecture along with in-situ sensors such as river gauges and rain gauges into a flood early warning system. The SensorWeb includes a global flood model and a higher resolution basin specific flood model. Furthermore, flood extent and status is monitored by optical and radar types of satellites and integrated via some automation. We have taken a practical approach to find out how to create a working system by selectively using the components that provide good results. The vision for the future is to combine this with the country side dwelling unit data base to create risk maps that provide specific warnings to houses within high risk areas based on near term predictions. This presentation will show some of the highlights of the effort thus far plus our future plans.

  15. The challenge of installing a tsunami early warning system in the vicinity of the Sunda Arc, Indonesia

    Directory of Open Access Journals (Sweden)

    J. Lauterjung

    2010-04-01

    Full Text Available Indonesia is located along the most prominent active continental margin in the Indian Ocean, the so-called Sunda Arc and, therefore, is one of the most threatened regions of the world in terms of natural hazards such as earthquakes, volcanoes, and tsunamis. On 26 December 2004 the third largest earthquake ever instrumentally recorded (magnitude 9.3, Stein and Okal, 2005 occurred off-shore northern Sumatra and triggered a mega-tsunami affecting the whole Indian Ocean. Almost a quarter of a million people were killed, as the region was not prepared either in terms of early-warning or in terms of disaster response.

    In order to be able to provide, in future, a fast and reliable warning procedure for the population, Germany, immediately after the catastrophe, offered during the UN World Conference on Disaster Reduction in Kobe, Hyogo/Japan in January 2005 technical support for the development and installation of a tsunami early warning system for the Indian Ocean in addition to assistance in capacity building in particular for local communities. This offer was accepted by Indonesia but also by other countries like Sri Lanka, the Maldives and some East-African countries. Anyhow the main focus of our activities has been carried out in Indonesia as the main source of tsunami threat for the entire Indian Ocean. Challenging for the technical concept of this warning system are the extremely short warning times for Indonesia, due to its vicinity to the Sunda Arc. For this reason the German Indonesian Tsunami Early Warning System (GITEWS integrates different modern and new scientific monitoring technologies and analysis methods.

  16. A Conceptual Flash Flood Early Warning System for Africa, Based on Terrestrial Microwave Links and Flash Flood Guidance

    Directory of Open Access Journals (Sweden)

    Joost C. B. Hoedjes

    2014-04-01

    Full Text Available A conceptual flash flood early warning system for developing countries is described. The system uses rainfall intensity data from terrestrial microwave communication links and the geostationary Meteosat Second Generation satellite, i.e., two systems that are already in place and operational. Flash flood early warnings are based on a combination of the Flash Flood Guidance method and a hydrological model. The system will be maintained and operated through a public-private partnership, which includes a mobile telephone operator, a national meteorological service and an emergency relief service. The mobile telephone operator acts as both the supplier of raw input data and the disseminator of early warnings. The early warning system could significantly reduce the number of fatalities due to flash floods, improve the efficiency of disaster risk reduction efforts and play an important role in strengthening the resilience to climate change of developing countries in Africa. This paper describes the system that is currently being developed for Kenya.

  17. 75 FR 26269 - Draft Programmatic Environmental Assessment for the Integrated Public Alert and Warning Program's...

    Science.gov (United States)

    2010-05-11

    ... system to alert and warn the American people in situations of war, terrorist attack, natural disaster, or... Order 13407, Public Alert and Warning System, by providing robust and survivable power generation, fuel... of interoperable public alert and warning systems, to identify technologies and standards that...

  18. Risks of disaster in the energy system

    International Nuclear Information System (INIS)

    Kristoferson, L.; Kjellstroem, B.; Svenningsson, P.J.

    1986-10-01

    The perception of environmental effects and risks is discussed concerning the difficulties to making objective comparisons between different energy sources. Risks may influence the choice of strategies of the replacement of nuclear electric power in the Swedish energy system. Risks for major accidents and disasters to occur at a small level of probability are presented concerning the existing or future energy sources. The choice of strategies is discussed by means of calculated examples

  19. Earthquake magnitude estimation using the τ c and P d method for earthquake early warning systems

    Science.gov (United States)

    Jin, Xing; Zhang, Hongcai; Li, Jun; Wei, Yongxiang; Ma, Qiang

    2013-10-01

    Earthquake early warning (EEW) systems are one of the most effective ways to reduce earthquake disaster. Earthquake magnitude estimation is one of the most important and also the most difficult parts of the entire EEW system. In this paper, based on 142 earthquake events and 253 seismic records that were recorded by the KiK-net in Japan, and aftershocks of the large Wenchuan earthquake in Sichuan, we obtained earthquake magnitude estimation relationships using the τ c and P d methods. The standard variances of magnitude calculation of these two formulas are ±0.65 and ±0.56, respectively. The P d value can also be used to estimate the peak ground motion of velocity, then warning information can be released to the public rapidly, according to the estimation results. In order to insure the stability and reliability of magnitude estimation results, we propose a compatibility test according to the natures of these two parameters. The reliability of the early warning information is significantly improved though this test.

  20. Evaluation on the Implementation of Early Warning System for Debris Flow in Merapi Area (Case Study at Boyong River

    Directory of Open Access Journals (Sweden)

    Ali Cahyadi Achmad

    2015-09-01

    Full Text Available One of disasters caused by volcanic activity of Mount Merapi is secondary disaster. The disaster usually occurs after eruption and this volcanic activity produces volcanic and pyroclastic material deposit around the top of the mountain as a result of previous eruption. This material might collapse downward in the form of debris flow as it is affected by natural event such as high intensity rainfall. Therefore, a research is needed to analyze whether existing forecasting and early warning system are capable to provide information for the people living in hazardous area before the debris flood occur. This research was carried out using field survey, observation and interview method. Data analysis used qualitative descriptive method by making description of actual condition of the researched location general condition and qualitative analysis of telemetry system installed on Mount Merapi. The qualitative analysis of telemetry system covers network, hardware, software, power supply, security system, operation and maintenance, also human resources. Research analysis used primary and secondary data. Research results revealed that mean rainfall intensity above of 60 mm/hour might trigger debris flood. Early warning should be given at the rainfall intensity level of 50-55 mm/hour, and debris flood time travel from the upstream to the observed location in Pulowatu Village is 45 minute. Based on the analysis of the present forecasting and early warning system, it is known that some of the equipment is not well functioned, so that debris flow cannot be predicted and detected. This is caused by the lack of human resource quality of the officers in operating and maintaining the equipment. Concerning that matter, it is necessary to conduct some improvement to achieve better forecasting and early warning system in order to give information regarding occurrence of debris flow.

  1. Flood early warning system : Design, implementation and computational modules

    NARCIS (Netherlands)

    Krzhizhanovskaya, V.V.; Shirshov, G.S.; Melnikova, N.B.; Belleman, R.G.; Rusadi, F.I.; Broekhuijsen, B.J.; Gouldby, B.P.; Lhomme, J.; Balis, B.; Bubak, M.; Pyayt, A.L.; Mokhov, I.I.; Ozhigin, A.V.; Lang, B.; Meijer, R.J.

    2011-01-01

    We present a prototype of the flood early warning system (EWS) developed within the UrbanFlood FP7 project. The system monitors sensor networks installed in flood defenses (dikes, dams, embankments, etc.), detects sensor signal abnormalities, calculates dike failure probability, and simulates

  2. Early warning signal for interior crises in excitable systems.

    Science.gov (United States)

    Karnatak, Rajat; Kantz, Holger; Bialonski, Stephan

    2017-10-01

    The ability to reliably predict critical transitions in dynamical systems is a long-standing goal of diverse scientific communities. Previous work focused on early warning signals related to local bifurcations (critical slowing down) and nonbifurcation-type transitions. We extend this toolbox and report on a characteristic scaling behavior (critical attractor growth) which is indicative of an impending global bifurcation, an interior crisis in excitable systems. We demonstrate our early warning signal in a conceptual climate model as well as in a model of coupled neurons known to exhibit extreme events. We observed critical attractor growth prior to interior crises of chaotic as well as strange-nonchaotic attractors. These observations promise to extend the classes of transitions that can be predicted via early warning signals.

  3. The Trend of Voluntary Warnings in Electronic Nicotine Delivery System Magazine Advertisements

    OpenAIRE

    Shang, Ce; Chaloupka, Frank J.

    2017-01-01

    Some manufacturers of electronic nicotine delivery systems (ENDS) voluntarily carried health warnings in their advertisements. This study examined these voluntary warnings in magazine ads and plotted their trends between 2012 and early 2015. ENDS magazine ads were obtained through Kantar media and warnings were collected from the Chicago Public Library or the Trinkets and Trash surveillance system. The prevalence of voluntary warnings, warnings with the specific capitalized word “WARNING”, an...

  4. 49 CFR 234.205 - Operating characteristics of warning system apparatus.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Operating characteristics of warning system... characteristics of warning system apparatus. Operating characteristics of electromagnetic, electronic, or... limits within which the system is designed to operate. ...

  5. Pike River Mine Disaster: Systems-Engineering and Organisational Contributions

    Directory of Open Access Journals (Sweden)

    Dirk J. Pons

    2016-10-01

    Full Text Available The Pike River mine (PRM, an underground coal mine in New Zealand (NZ, exploded in 2010. This paper analyses the causes of the disaster, with a particular focus on the systems engineering and organisational contributions. Poor systems-engineering contributed via poorly designed ventilation, use of power-electronics underground, and placement of the main ventilation fan underground. Management rushed prematurely into production even though the technology development in the mine was incomplete. Investment in non-productive infrastructure was deprioritised resulting in inadequate ventilation, and the lack of a viable second emergency egress. The risk assessments were deficient, incomplete, or not actioned. Warnings and feedback from staff were ignored. Risk arises as a consequence of the complex interactions between the components of the sociotechnical system. Organisations will need to strengthen the integrity of their risk management processes at engineering, management, and board levels. The systems engineering perspective shows the interacting causality between the engineering challenges (ventilation, mining method, electrical power, project deliverables, management priorities, organisational culture, and workers’ behaviour. Use of the barrier method provides a new way to examine the risk-management strategies of the mine. The breakdowns in organisational safety management systems are explicitly identified.

  6. The Food Early Warning System Project in Somalia

    Directory of Open Access Journals (Sweden)

    Leblanc, M.

    1992-01-01

    Full Text Available The article describes shortly the objectives of a Food Early Warning System (FEWS project, as well as its organisation. The specifie case of Somalia, where the project had to evolve in increasingly difficult situations, and the solutions used so as to preserve the output, are described.

  7. Development of Early Warning Methods for Electric Power Systems

    DEFF Research Database (Denmark)

    Jóhannsson, Hjörtur

    This thesis concerns the development of methods that can provide, in realtime, an early warning for an emerging blackout in electric power systems. The blackout in E-Denmark and S-Sweden on September 23, 2003 is the main motivation for the method development. The blackout was caused by occurrence...

  8. Software for ASS-500 based early warning system

    International Nuclear Information System (INIS)

    Lipinski, P.; Isajenko, K.

    1998-01-01

    The article describes the software for the management of early warning system based on ASS-500 station. The software can communicate with the central computer using TCP/IP protocol. This allows remote control of the station through modem or local area network connection. The article describes Windows based user interface of the program

  9. Signal Processing Methods for Flood Early Warning Systems

    NARCIS (Netherlands)

    Pyayt, A.L.; Mokhov, I.I.; Kozionov, A.P.; Kusherbaeva, V.T.; Krzhizhanovskaya, V.V.; Broekhuijsen, B.J.; Meijer, R.J.; Hinkelmann, R.; Nasermoaddeli, M.H.; Liong, S.Y.; Savic, D.; Fröhle, P.; Daemrich, K.F.

    2012-01-01

    We present in a data-driven approach for detection of anomalies in earthen dam (dike) behaviour that can indicate the onset of flood defence structure failure. This approach is implemented in the UrbanFlood early warning system's Artificial Intelligence component that processes dike measurements in

  10. Drunk driving warning system (DDWS). Volume 2, Field test evaluation

    Science.gov (United States)

    1983-12-01

    The Drunk Driving Warning System (DDWS) is a vehicle-mounted device for testing driver impairment and activating alarms. The driver must pass a steering competency test (the Critical Tracking Task or CTT) in order to drive the car in a normal manner....

  11. Implementing an Inpatient Social Early Warning System for Child Maltreatment

    Science.gov (United States)

    Atabaki, Armita; Heddaeus, Daniela; Metzner, Franka; Schulz, Holger; Siefert, Sonke; Pawils, Silke

    2013-01-01

    Objectives: The current article describes the process evaluation of a social early warning system (SEWS) for the prevention of child maltreatment in the federal state of Hamburg. This prevention initiative targets expectant mothers and their partners including an initial screening of risk factors for child maltreatment, a subsequent structured…

  12. Earthquake early warning system using real-time signal processing

    Energy Technology Data Exchange (ETDEWEB)

    Leach, R.R. Jr.; Dowla, F.U.

    1996-02-01

    An earthquake warning system has been developed to provide a time series profile from which vital parameters such as the time until strong shaking begins, the intensity of the shaking, and the duration of the shaking, can be derived. Interaction of different types of ground motion and changes in the elastic properties of geological media throughout the propagation path result in a highly nonlinear function. We use neural networks to model these nonlinearities and develop learning techniques for the analysis of temporal precursors occurring in the emerging earthquake seismic signal. The warning system is designed to analyze the first-arrival from the three components of an earthquake signal and instantaneously provide a profile of impending ground motion, in as little as 0.3 sec after first ground motion is felt at the sensors. For each new data sample, at a rate of 25 samples per second, the complete profile of the earthquake is updated. The profile consists of a magnitude-related estimate as well as an estimate of the envelope of the complete earthquake signal. The envelope provides estimates of damage parameters, such as time until peak ground acceleration (PGA) and duration. The neural network based system is trained using seismogram data from more than 400 earthquakes recorded in southern California. The system has been implemented in hardware using silicon accelerometers and a standard microprocessor. The proposed warning units can be used for site-specific applications, distributed networks, or to enhance existing distributed networks. By producing accurate, and informative warnings, the system has the potential to significantly minimize the hazards of catastrophic ground motion. Detailed system design and performance issues, including error measurement in a simple warning scenario are discussed in detail.

  13. Implementing drought early warning systems: policy lessons and future needs

    Science.gov (United States)

    Iglesias, Ana; Werner, Micha; Maia, Rodrigo; Garrote, Luis; Nyabeze, Washington

    2014-05-01

    Drought forecasting and Warning provides the potential of reducing impacts to society due to drought events. The implementation of effective drought forecasting and warning, however, requires not only science to support reliable forecasting, but also adequate policy and societal response. Here we propose a protocol to develop drought forecasting and early warning based in the international cooperation of African and European institutions in the DEWFORA project (EC, 7th Framework Programme). The protocol includes four major phases that address the scientific knowledge and the social capacity to use the knowledge: (a) What is the science available? Evaluating how signs of impending drought can be detected and predicted, defining risk levels, and analysing of the signs of drought in an integrated vulnerability approach. (b) What are the societal capacities? In this the institutional framework that enables policy development is evaluated. The protocol gathers information on vulnerability and pending hazard in advance so that early warnings can be declared at sufficient lead time and drought mitigation planning can be implemented at an early stage. (c) How can science be translated into policy? Linking science indicators into the actions/interventions that society needs to implement, and evaluating how policy is implemented. Key limitations to planning for drought are the social capacities to implement early warning systems. Vulnerability assessment contributes to identify these limitations and therefore provides crucial information to policy development. Based on the assessment of vulnerability we suggest thresholds for management actions to respond to drought forecasts and link predictive indicators to relevant potential mitigation strategies. Vulnerability assessment is crucial to identify relief, coping and management responses that contribute to a more resilient society. (d) How can society benefit from the forecast? Evaluating how information is provided to

  14. Development of Smart Grid for Community and Cyber based Landslide Hazard Monitoring and Early Warning System

    Science.gov (United States)

    Karnawati, D.; Wilopo, W.; Fathani, T. F.; Fukuoka, H.; Andayani, B.

    2012-12-01

    A Smart Grid is a cyber-based tool to facilitate a network of sensors for monitoring and communicating the landslide hazard and providing the early warning. The sensor is designed as an electronic sensor installed in the existing monitoring and early warning instruments, and also as the human sensors which comprise selected committed-people at the local community, such as the local surveyor, local observer, member of the local task force for disaster risk reduction, and any person at the local community who has been registered to dedicate their commitments for sending reports related to the landslide symptoms observed at their living environment. This tool is designed to be capable to receive up to thousands of reports/information at the same time through the electronic sensors, text message (mobile phone), the on-line participatory web as well as various social media such as Twitter and Face book. The information that should be recorded/ reported by the sensors is related to the parameters of landslide symptoms, for example the progress of cracks occurrence, ground subsidence or ground deformation. Within 10 minutes, this tool will be able to automatically elaborate and analyse the reported symptoms to predict the landslide hazard and risk levels. The predicted level of hazard/ risk can be sent back to the network of electronic and human sensors as the early warning information. The key parameters indicating the symptoms of landslide hazard were recorded/ monitored by the electrical and the human sensors. Those parameters were identified based on the investigation on geological and geotechnical conditions, supported with the laboratory analysis. The cause and triggering mechanism of landslide in the study area was also analysed in order to define the critical condition to launch the early warning. However, not only the technical but also social system were developed to raise community awareness and commitments to serve the mission as the human sensors, which will

  15. A Walk through TRIDEC's intermediate Tsunami Early Warning System

    Science.gov (United States)

    Hammitzsch, M.; Reißland, S.; Lendholt, M.

    2012-04-01

    The management of natural crises is an important application field of the technology developed in the project Collaborative, Complex, and Critical Decision-Support in Evolving Crises (TRIDEC), co-funded by the European Commission in its Seventh Framework Programme. TRIDEC is based on the development of the German Indonesian Tsunami Early Warning System (GITEWS) and the Distant Early Warning System (DEWS) providing a service platform for both sensor integration and warning dissemination. In TRIDEC new developments in Information and Communication Technology (ICT) are used to extend the existing platform realising a component-based technology framework for building distributed tsunami warning systems for deployment, e.g. in the North-eastern Atlantic, the Mediterranean and Connected Seas (NEAM) region. The TRIDEC system will be implemented in three phases, each with a demonstrator. Successively, the demonstrators are addressing challenges, such as the design and implementation of a robust and scalable service infrastructure supporting the integration and utilisation of existing resources with accelerated generation of large volumes of data. These include sensor systems, geo-information repositories, simulation tools and data fusion tools. In addition to conventional sensors also unconventional sensors and sensor networks play an important role in TRIDEC. The system version presented is based on service-oriented architecture (SOA) concepts and on relevant standards of the Open Geospatial Consortium (OGC), the World Wide Web Consortium (W3C) and the Organization for the Advancement of Structured Information Standards (OASIS). In this way the system continuously gathers, processes and displays events and data coming from open sensor platforms to enable operators to quickly decide whether an early warning is necessary and to send personalized warning messages to the authorities and the population at large through a wide range of communication channels. The system

  16. The new Euskalmet coastal-maritime warning system

    Science.gov (United States)

    Gaztelumendi, Santiago; Egaña, Joseba; Liria, Pedro; Gonzalez, Manuel; Aranda, José Antonio; Anitua, Pedro

    2016-06-01

    This work presents the main characteristics of the Basque Meteorology Agency (Euskalmet) maritime-coastal risk warning system, with special emphasis on the latest updates, including a clear differentiation on specific warning messages addressing sea conditions for navigation purposes in the first 2 nautical miles, and expected coastal impacts. Some details of the warning bulletin for maritime and coastal risk situations are also presented, together with other communication products and strategies used in coastal and maritime severe episodes at the Basque coast. Today, three different aspects are included in the coastal-maritime risk warning system in Basque Country, related to the main potential severe events that affecting coastal activities. - "Galerna" risk relates to a sudden wind reversal that can severely affect coastal navigation and recreational activities. - "Navigation" risk relates to severe sea state conditions for 0-2 miles, affecting different navigation activities. - "Coastal impact" risk relates to adverse wave characteristics and tidal surges that induce flooding events and different impacts in littoral areas.

  17. MISSIONS: The Mobile-Based Disaster Mitigation System in Indonesia

    Science.gov (United States)

    Passarella, Rossi; Putri Raflesia, Sarifah; Lestarini, Dinda; Rifai, Ahmad; Veny, Harumi

    2018-04-01

    Disaster mitigation is essential to minimize the effects of disasters. Indonesia is one of the disaster prone areas in Asia and the government explores the usage of Information technology (IT) to aid its mitigation efforts. Currently, there are Indonesian websites which hold information regarding the weather monitoring, climate conditions, and geophysics. But, there is no clear indicator of mitigation efforts or things to do during an emergency. Therefore, this research proposed MISSIONS, a disaster mitigation model using geo-fencing technique to detect the location of the users through their mobile devices. MISSIONS uses mobile-based disaster mitigation system as a way to disseminate critical information to victims during emergency when they are in disaster zones using virtual fences. It aims to help the government to reduce the effects of disaster and aid in the mitigation efforts. The implementation result shows that MISSIONS have a high accuracy in detecting user whereabouts.

  18. Design of Early Warning System Based on Wireless Sensor Network

    Directory of Open Access Journals (Sweden)

    Gan Bo

    2018-01-01

    Full Text Available In order to solve the shortcomings of the landslide monitoring technology method, a set of landslides monitoring and early warning system is designed. It can achieve real-time sensor data acquisition, remote transmission and query display. In addition, aiming at the harsh environment of landslide monitoring and the performance requirements of the monitoring system, an improved minimum hop routing protocol is proposed. It can reduce network energy consumption, enhance network robustness, and improve node layout and networking flexibility. In order to realize the remote transmission of data, GPRS wireless communication is used to transmit monitoring data. Combined with remote monitoring center, real-time data display, query, preservation and landslide warning and prediction are realized. The results show that the sensor data acquisition system is accurate, the system is stable, and the node network is flexible. Therefore, the monitoring system has a good use value.

  19. Effects of Loading Rate on Gas Seepage and Temperature in Coal and Its Potential for Coal-Gas Disaster Early-Warning

    Directory of Open Access Journals (Sweden)

    Chong Zhang

    2017-08-01

    Full Text Available The seepage velocity and temperature externally manifest the changing structure, gas desorption and energy release that occurs in coal containing gas failure under loading. By using the system of coal containing gas failure under loading, this paper studies the law of seepage velocity and temperature under different loading rates and at 1.0 MPa confining pressure and 0.5 MPa gas pressure, and combined the on-site results of gas pressure and temperature. The results show that the stress directly affects the seepage velocity and temperature of coal containing gas, and the pressure and content of gas have the most sensitivity to mining stress. Although the temperature is not sensitive to mining stress, it has great correlation with mining stress. Seepage velocity has the characteristic of critically slowing down under loading. This is demonstrated by the variance increasing before the main failure of the samples. Therefore, the variance of seepage velocity with time and temperature can provide an early warning for coal containing gas failing and gas disasters in a coal mine.

  20. Airbus windshear warning and guidance system

    Science.gov (United States)

    Bonafe, J. L.

    1990-01-01

    From its first designed airplane, Airbus considered mandatory a help in the crew's decision-making process to initiate an escape maneuver and help to successfully realize it. All the Airbus airplanes designed since 1975 included an alpha-floor function and a speed reference control law imbedded in the speed reference system (SRS) box for A 300 and FAC and FCC for A 310, A300/600 and the A 320. Alpha-Floor function takes into account the airplane energy situation considering angle of attack and observed longitudinal situation in order to apply immediately the full power without any pilot action. Speed reference managers control airspeed and/or ground speed in order to survive a maximum in shear situation. In order to comply with the new FAA regulation: Aerospatiale and Airbus developed more efficient systems. A comparison between 1975 and a newly developed system is given. It is explained how the new system improves the situation.

  1. The Common Alerting Protocol (CAP) adaption in National Early Warning Alerting Systems of China

    Science.gov (United States)

    Li, Chao

    2017-04-01

    The Common Alerting Protocol (CAP) [1] is an XML-based data format for exchanging public warnings and emergencies between alerting technologies. In China, from local communities to entire nations, there was a patchwork of specialized hazard public alerting systems. And each system was often designed just for certain emergency situations and for certain communications media. Application took place in the NEWAS (National Early Warning Alerting Systems) [2]project where CAP serves as central message to integrate all kind of hazard situations, including the natural calamity, accident disaster, public health emergency , social safety etc. Officially operated on May 2015, NEWAS now has completed docking work with 14 departments including civil administration, safety supervision, forestry, land, water conservancy, earthquake, traffic, meteorology, agriculture, tourism, food and drug supervision, public security and oceanic administration. Thus, several items in CAP has been modified, redefined and extended according to the various grading standards and publishing strategies, as well as the characteristics of Chinese Geocoding. NEWAS successfully delivers information to end users through 4 levels (i.e. State, province, prefecture and county) structure and by various means. [1] CAP, http://www.oasis-emergency.org/cap [2] http://www.12379.cn/

  2. An automatic tsunami warning system: TREMORS application in Europe

    Science.gov (United States)

    Reymond, D.; Robert, S.; Thomas, Y.; Schindelé, F.

    1996-03-01

    An integrated system named TREMORS (Tsunami Risk Evaluation through seismic Moment of a Real-time System) has been installed in EVORA station, in Portugal which has been affected by historical tsunamis. The system is based on a three component long period seismic station linked to a compatible IBM_PC with a specific software. The goals of this system are the followings: detect earthquake, locate them, compute their seismic moment, give a seismic warning. The warnings are based on the seismic moment estimation and all the processing are made automatically. The finality of this study is to check the quality of estimation of the main parameters of interest in a goal of tsunami warning: the location which depends of azimuth and distance, and at last the seismic moment, M 0, which controls the earthquake size. The sine qua non condition for obtaining an automatic location is that the 3 main seismic phases P, S, R must be visible. This study gives satisfying results (automatic analysis): ± 5° errors in azimuth and epicentral distance, and a standard deviation of less than a factor 2 for the seismic moment M 0.

  3. Flood Monitoring and Early Warning System Using Ultrasonic Sensor

    Science.gov (United States)

    Natividad, J. G.; Mendez, J. M.

    2018-03-01

    The purpose of this study is to develop a real-time flood monitoring and early warning system in the northern portion of the province of Isabela, particularly the municipalities near Cagayan River. Ultrasonic sensing techniques have become mature and are widely used in the various fields of engineering and basic science. One of advantage of ultrasonic sensing is its outstanding capability to probe inside objective non-destructively because ultrasound can propagate through any kinds of media including solids, liquids and gases. This study focuses only on the water level detection and early warning system (via website and/or SMS) that alerts concern agencies and individuals for a potential flood event. Furthermore, inquiry system is also included in this study to become more interactive wherein individuals in the community could inquire the actual water level and status of the desired area or location affected by flood thru SMS keyword. The study aims in helping citizens to be prepared and knowledgeable whenever there is a flood. The novelty of this work falls under the utilization of the Arduino, ultrasonic sensors, GSM module, web-monitoring and SMS early warning system in helping stakeholders to mitigate casualties related to flood. The paper envisions helping flood-prone areas which are common in the Philippines particularly to the local communities in the province. Indeed, it is relevant and important as per needs for safety and welfare of the community.

  4. LED-Based High-Voltage Lines Warning System

    Directory of Open Access Journals (Sweden)

    Eldar MUSA

    2013-04-01

    Full Text Available LED-based system, running with the current of high-voltage lines and converting the current flowing through the line into the light by using a toroid transformer, has been developed. The transformer’s primary winding is constituted by the high voltage power line. Toroidal core consists of two equal parts and the secondary windings are evenly placed on these two parts. The system is mounted on the high-voltage lines as a clamp. The secondary winding ends are connected in series by the connector on the clamp. LEDs are supplied by the voltage at the ends of secondary. Current flowing through highvoltage transmission lines is converted to voltage by the toroidal transformer and the light emitting LEDs are supplied with this voltage. The theory of the conversion of the current flowing through the line into the light is given. The system, running with the current of the line and converting the current into the light, has been developed. System has many application areas such as warning high voltage lines (warning winches to not hinder the high-voltage lines when working under the lines, warning planes to not touch the high-voltage lines, remote measurement of high-voltage line currents, and local illumination of the line area

  5. Silent Warning: Understanding the National Terrorism Advisory System

    Science.gov (United States)

    2014-12-01

    NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS Approved for public release; distribution is unlimited SILENT WARNING...PERFORMING OR GANIZATION NA:i\\ti E (S) AND ADDRESS(ES) Naval Postgraduate School Monterey, CA 93943-5000 9. SP ONSORING /MONIT ORING AGENCY NAME(S) AND...Homeland Sectu’ity Advisory System, Boston Marathon bombing, Christmas Day bomber, tmderwear bomber, hum cane , cotmteiteiTO!’ism, CT AB

  6. Indications and Warning Analysis Management System IWAMS. A Design Study

    Science.gov (United States)

    1980-03-01

    White Album by Joan Didion . Copyright © 1979 by Joan Didion . Reprinted with the permission of Simon and Schuster. "Indications, Warning, and Crisis...and the system. The chief symptom is memorably suggested in these passages by the writer, Joan Didion , on an illness she has suffered. Referring to...Science Review, Vol. 73, 1979, pp, 171-180. 210 IWAMS (40) "We tell ourselves": See Joan Didion , The White Album. New York: Simon and Schuster, 1979, p. 11

  7. Emergency warning via automated distribution system

    International Nuclear Information System (INIS)

    Glasser, J.C.

    1981-01-01

    Due to the Three Mile Island Nuclear Power Plant accident of March 28, 1979, the Nuclear Regulatory Commission and the Federal Emergency Management Agency require a general upgrading of existing Emergency Preparedness Plans. NUREG-0654/FEMA REP-1, Criteria for Preparation and Evaluation of Radiological Emergency Response Plans and Preparedness in Support of Nuclear Power Plants, dated October 1980, describes the Emergency Plans required and includes the Plant Operator's Onsite Plan, as well as the State, County, and Local Offsite Plans. As part of these Emergency Preparedness Plans, an Emergency Notification System is required to alert the general population within the Emergency Planning Zone surrounding a Nuclear Power Plant that a general emergency has occurred and that they should tune to an Emergency Broadcast Station for further information and instructions. The emergency notification system for Beaver Valley Power Station is described. The system is the capability of alerting 100% of the population with 5 mi of Beaver Valley Power Station within 15 min, and the capability of alerting 100% of the population within 10 mi of Beaver Valley Power Station within 45 min

  8. Recommendations to harmonize European early warning dosimetry network systems

    Science.gov (United States)

    Dombrowski, H.; Bleher, M.; De Cort, M.; Dabrowski, R.; Neumaier, S.; Stöhlker, U.

    2017-12-01

    After the Chernobyl nuclear power plant accident in 1986, followed by the Fukushima Nuclear power plant accident 25 years later, it became obvious that real-time information is required to quickly gain radiological information. As a consequence, the European countries established early warning network systems with the aim to provide an immediate warning in case of a major radiological emergency, to supply reliable information on area dose rates, contamination levels, radioactivity concentrations in air and finally to assess public exposure. This is relevant for governmental decisions on intervention measures in an emergency situation. Since different methods are used by national environmental monitoring systems to measure area dose rate values and activity concentrations, there are significant differences in the results provided by different countries. Because European and neighboring countries report area dose rate data to a central data base operated on behalf of the European Commission, the comparability of the data is crucial for its meaningful interpretation, especially in the case of a nuclear accident with transboundary implications. Only by harmonizing measuring methods and data evaluation, is the comparability of the dose rate data ensured. This publication concentrates on technical requirements and methods with the goal to effectively harmonize area dose rate monitoring data provided by automatic early warning network systems. The requirements and procedures laid down in this publication are based on studies within the MetroERM project, taking into account realistic technical approaches and tested procedures.

  9. Early Warning Models for Systemic Banking Crises in Montenegro

    Directory of Open Access Journals (Sweden)

    Željka Asanović

    2013-06-01

    Full Text Available The purpose of this research is to create an adequate early warning model for systemic banking crises in Montenegro. The probability of banking crisis occurrence is calculated using discrete dependent variable models, more precisely, estimating logit regression. Afterwards, seven simple logit regressions that individually have two explanatory variables are estimated. Adequate weights have been assigned to all seven regressions using the technique of Bayesian model averaging. The advantage of this technique is that it takes into account the model uncertainty by considering various combinations of models in order to minimize the author’s subjective judgment when determining reliable early warning indicators. The results of Bayesian model averaging largely coincide with the results of a previously estimated dynamic logit model. Indicators of credit expansion, thanks to their performances, have a dominant role in early warning models for systemic banking crises in Montenegro. The results have also shown that the Montenegrin banking system is significantly exposed to trends on the global level.

  10. GPS water level measurements for Indonesia's Tsunami Early Warning System

    Directory of Open Access Journals (Sweden)

    T. Schöne

    2011-03-01

    Full Text Available On Boxing Day 2004, a severe tsunami was generated by a strong earthquake in Northern Sumatra causing a large number of casualties. At this time, neither an offshore buoy network was in place to measure tsunami waves, nor a system to disseminate tsunami warnings to local governmental entities. Since then, buoys have been developed by Indonesia and Germany, complemented by NOAA's Deep-ocean Assessment and Reporting of Tsunamis (DART buoys, and have been moored offshore Sumatra and Java. The suite of sensors for offshore tsunami detection in Indonesia has been advanced by adding GPS technology for water level measurements.

    The usage of GPS buoys in tsunami warning systems is a relatively new approach. The concept of the German Indonesian Tsunami Early Warning System (GITEWS (Rudloff et al., 2009 combines GPS technology and ocean bottom pressure (OBP measurements. Especially for near-field installations where the seismic noise may deteriorate the OBP data, GPS-derived sea level heights provide additional information.

    The GPS buoy technology is precise enough to detect medium to large tsunamis of amplitudes larger than 10 cm. The analysis presented here suggests that for about 68% of the time, tsunamis larger than 5 cm may be detectable.

  11. Upgrade of the early warning system in Slovenia

    International Nuclear Information System (INIS)

    Sarvari, A.; Cindro, M.; Krizman, M.; Mitic, D.

    2003-01-01

    The main task of the Early Warning System in Slovenia is to warn the competent authorities of the increase of external radiation. Only an efficient Ewes can cope with the situation that we have in case of nuclear or radiation accident. For such purposes the measuring locations have to fulfil some basic radiation monitoring criteria (population density, distance from NPP, precipitation, land use). In this article the results of each criterion as well as the total set is described. The results of the applied criteria are presented with colour contour images. The purpose of this article is to allocate the critical areas on the territory of Slovenia that have to be considered in final determination of the appropriate measuring locations. (author)

  12. The Trend of Voluntary Warnings in Electronic Nicotine Delivery System Magazine Advertisements.

    Science.gov (United States)

    Shang, Ce; Chaloupka, Frank J

    2017-01-10

    Some manufacturers of electronic nicotine delivery systems (ENDS) voluntarily carried health warnings in their advertisements. This study examined these voluntary warnings in magazine ads and plotted their trends between 2012 and early 2015. ENDS magazine ads were obtained through Kantar media and warnings were collected from the Chicago Public Library or the Trinkets and Trash surveillance system. The prevalence of voluntary warnings, warnings with the specific capitalized word "WARNING", and MarkTen warnings were examined after being weighted using factors related to exposure between January 2012 and March 2015. Five brands (MarkTen, NJOY, MISTIC, and some Blu) carried warnings during the study period. The prevalence of warnings post 2012 that contained a description of nicotine did not significantly increase until the launch of MarkTen, which also happened several months before April 2014 when the U.S. food and drug administration (FDA) published its proposed deeming rule. In addition, none of these warnings met the criteria required by the FDA in the final rules. Voluntary warnings, particularly MarkTen warnings, significantly increased in ENDS magazine ads between 2014 and 2015. It is important to monitor how ENDS manufacturers will comply with the FDA regulation related to warnings and how this regulation will ultimately impact ENDS risk perceptions and use.

  13. Flexible Early Warning Systems with Workflows and Decision Tables

    Science.gov (United States)

    Riedel, F.; Chaves, F.; Zeiner, H.

    2012-04-01

    An essential part of early warning systems and systems for crisis management are decision support systems that facilitate communication and collaboration. Often official policies specify how different organizations collaborate and what information is communicated to whom. For early warning systems it is crucial that information is exchanged dynamically in a timely manner and all participants get exactly the information they need to fulfil their role in the crisis management process. Information technology obviously lends itself to automate parts of the process. We have experienced however that in current operational systems the information logistics processes are hard-coded, even though they are subject to change. In addition, systems are tailored to the policies and requirements of a certain organization and changes can require major software refactoring. We seek to develop a system that can be deployed and adapted to multiple organizations with different dynamic runtime policies. A major requirement for such a system is that changes can be applied locally without affecting larger parts of the system. In addition to the flexibility regarding changes in policies and processes, the system needs to be able to evolve; when new information sources become available, it should be possible to integrate and use these in the decision process. In general, this kind of flexibility comes with a significant increase in complexity. This implies that only IT professionals can maintain a system that can be reconfigured and adapted; end-users are unable to utilise the provided flexibility. In the business world similar problems arise and previous work suggested using business process management systems (BPMS) or workflow management systems (WfMS) to guide and automate early warning processes or crisis management plans. However, the usability and flexibility of current WfMS are limited, because current notations and user interfaces are still not suitable for end-users, and workflows

  14. Developing an early warning system for storm surge inundation in the Philippines

    Science.gov (United States)

    Tablazon, J.; Caro, C. V.; Lagmay, A. M. F.; Briones, J. B. L.; Dasallas, L.; Lapidez, J. P.; Santiago, J.; Suarez, J. K.; Ladiero, C.; Gonzalo, L. A.; Mungcal, M. T. F.; Malano, V.

    2014-10-01

    A storm surge is the sudden rise of sea water generated by an approaching storm, over and above the astronomical tides. This event imposes a major threat in the Philippine coastal areas, as manifested by Typhoon Haiyan on 8 November 2013 where more than 6000 people lost their lives. It has become evident that the need to develop an early warning system for storm surges is of utmost importance. To provide forecasts of the possible storm surge heights of an approaching typhoon, the Nationwide Operational Assessment of Hazards under the Department of Science and Technology (DOST-Project NOAH) simulated historical tropical cyclones that entered the Philippine Area of Responsibility. Bathymetric data, storm track, central atmospheric pressure, and maximum wind speed were used as parameters for the Japan Meteorological Agency Storm Surge Model. The researchers calculated the frequency distribution of maximum storm surge heights of all typhoons under a specific Public Storm Warning Signal (PSWS) that passed through a particular coastal area. This determines the storm surge height corresponding to a given probability of occurrence. The storm surge heights from the model were added to the maximum astronomical tide data from WXTide software. The team then created maps of probable area inundation and flood levels of storm surges along coastal areas for a specific PSWS using the results of the frequency distribution. These maps were developed from the time series data of the storm tide at 10 min intervals of all observation points in the Philippines. This information will be beneficial in developing early warnings systems, static maps, disaster mitigation and preparedness plans, vulnerability assessments, risk-sensitive land use plans, shoreline defense efforts, and coastal protection measures. Moreover, these will support the local government units' mandate to raise public awareness, disseminate information about storm surge hazards, and implement appropriate counter

  15. Improvements of existing early warning system in Croatia

    International Nuclear Information System (INIS)

    Tomisa, T.

    2000-01-01

    The gamma radiation early warning system in Croatia was established in 1993. The first configuration contained 3 measuring stations connected to the monitoring center and up today the system is expanded with 5 additional locations. Each location is equipped with the MFM202 gamma-monitor and additional equipment that is not unique for all locations. This difference in remote equipment configuration caused by different communication medium used, is the reason to improve existing system trough equipment unification introducing PLC unit in the standard configuration. Such configuration enables additional functions such as automatic alerting and collecting meteorological data. (author)

  16. Hybrid Intelligent Warning System for Boiler tube Leak Trips

    Directory of Open Access Journals (Sweden)

    Singh Deshvin

    2017-01-01

    Full Text Available Repeated boiler tube leak trips in coal fired power plants can increase operating cost significantly. An early detection and diagnosis of boiler trips is essential for continuous safe operations in the plant. In this study two artificial intelligent monitoring systems specialized in boiler tube leak trips have been proposed. The first intelligent warning system (IWS-1 represents the use of pure artificial neural network system whereas the second intelligent warning system (IWS-2 represents merging of genetic algorithms and artificial neural networks as a hybrid intelligent system. The Extreme Learning Machine (ELM methodology was also adopted in IWS-1 and compared with traditional training algorithms. Genetic algorithm (GA was adopted in IWS-2 to optimize the ANN topology and the boiler parameters. An integrated data preparation framework was established for 3 real cases of boiler tube leak trip based on a thermal power plant in Malaysia. Both the IWSs were developed using MATLAB coding for training and validation. The hybrid IWS-2 performed better than IWS-1.The developed system was validated to be able to predict trips before the plant monitoring system. The proposed artificial intelligent system could be adopted as a reliable monitoring system of the thermal power plant boilers.

  17. Strengthening Health Information Systems to Support Post-Disaster ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Strengthening Health Information Systems to Support Post-Disaster Healthcare in Haiti. The occurrence of a natural disaster may seem to carry repercussions that are indiscriminate in nature; however, it is the vulnerable populations that suffer most during such events, and in the days, months and years that follow. In Haiti ...

  18. Development of Safe Taiwan Information System (SATIS for Typhoon Early Warning in Taiwan

    Directory of Open Access Journals (Sweden)

    Wen-Ray Su

    2010-08-01

    Full Text Available Due to the particular geographical location and geological condition, Taiwan is constantly attacked by typhoons, flood, landslides, debris flows, and earthquakes. Those natural hazards had caused huge loss of lives and properties. To reduce the damages and losses caused by the natural hazards, an integrated and complete decision support system for decision makers is necessary. In this study, Safe Taiwan information system (SATIS, which includes two subsystems, response operation subsystem for staff members and decision support subsystem for commanders, is developed for preparedness and response of typhoon hazards. It is based on the Web- GIS framework that the disaster information can be distributed via internet technology. When typhoon is approaching, response operation subsystem is used by National Science and Technology Center for Disaster Reduction (NCDR staffs to integrate real-time monitoring information, hazard models and graphical user interfaces to analyze and manage the disaster information such as the current position and possible path of typhoon, the spatial distribution of rainfalls, and potential areas of flooding, landslides and debris flows. The input data of this subsystem includes the basic maps, the real-time information of typhoon and rainfall issued by the Central Weather Bureau, the real-time water information from the Water Resources Agency, and the hazard maps indicating areas of potential landslide, debris flow and flooding made by NCDR herself to estimate endangered areas under the current typhoon. There are four main modules integrated into the subsystem including the rainfall monitoring and forecasting, the estimation of potential inundation areas, the estimation of potential landslide and debris flows, and the management of disaster information. The results of hazard risk analysis which include potential rainfall distribution, inundation and landslide risk areas, early warning messages, and total suggestion over the

  19. Flood and landslide warning based on rainfall thresholds and soil moisture indexes: the HEWS (Hydrohazards Early Warning System) for Sicily

    Science.gov (United States)

    Brigandì, Giuseppina; Tito Aronica, Giuseppe; Bonaccorso, Brunella; Gueli, Roberto; Basile, Giuseppe

    2017-09-01

    The main focus of the paper is to present a flood and landslide early warning system, named HEWS (Hydrohazards Early Warning System), specifically developed for the Civil Protection Department of Sicily, based on the combined use of rainfall thresholds, soil moisture modelling and quantitative precipitation forecast (QPF). The warning system is referred to 9 different Alert Zones in which Sicily has been divided into and based on a threshold system of three different increasing critical levels: ordinary, moderate and high. In this system, for early flood warning, a Soil Moisture Accounting (SMA) model provides daily soil moisture conditions, which allow to select a specific set of three rainfall thresholds, one for each critical level considered, to be used for issue the alert bulletin. Wetness indexes, representative of the soil moisture conditions of a catchment, are calculated using a simple, spatially-lumped rainfall-streamflow model, based on the SCS-CN method, and on the unit hydrograph approach, that require daily observed and/or predicted rainfall, and temperature data as input. For the calibration of this model daily continuous time series of rainfall, streamflow and air temperature data are used. An event based lumped rainfall-runoff model has been, instead, used for the derivation of the rainfall thresholds for each catchment in Sicily characterised by an area larger than 50 km2. In particular, a Kinematic Instantaneous Unit Hydrograph based lumped rainfall-runoff model with the SCS-CN routine for net rainfall was developed for this purpose. For rainfall-induced shallow landslide warning, empirical rainfall thresholds provided by Gariano et al. (2015) have been included in the system. They were derived on an empirical basis starting from a catalogue of 265 shallow landslides in Sicily in the period 2002-2012. Finally, Delft-FEWS operational forecasting platform has been applied to link input data, SMA model and rainfall threshold models to produce

  20. AN INTEROPERABLE ARCHITECTURE FOR AIR POLLUTION EARLY WARNING SYSTEM BASED ON SENSOR WEB

    Directory of Open Access Journals (Sweden)

    F. Samadzadegan

    2013-09-01

    Full Text Available Environmental monitoring systems deal with time-sensitive issues which require quick responses in emergency situations. Handling the sensor observations in near real-time and obtaining valuable information is challenging issues in these systems from a technical and scientific point of view. The ever-increasing population growth in urban areas has caused certain problems in developing countries, which has direct or indirect impact on human life. One of applicable solution for controlling and managing air quality by considering real time and update air quality information gathered by spatially distributed sensors in mega cities, using sensor web technology for developing monitoring and early warning systems. Urban air quality monitoring systems using functionalities of geospatial information system as a platform for analysing, processing, and visualization of data in combination with Sensor Web for supporting decision support systems in disaster management and emergency situations. This system uses Sensor Web Enablement (SWE framework of the Open Geospatial Consortium (OGC, which offers a standard framework that allows the integration of sensors and sensor data into spatial data infrastructures. SWE framework introduces standards for services to access sensor data and discover events from sensor data streams as well as definition set of standards for the description of sensors and the encoding of measurements. The presented system provides capabilities to collect, transfer, share, process air quality sensor data and disseminate air quality status in real-time. It is possible to overcome interoperability challenges by using standard framework. In a routine scenario, air quality data measured by in-situ sensors are communicated to central station where data is analysed and processed. The extracted air quality status is processed for discovering emergency situations, and if necessary air quality reports are sent to the authorities. This research

  1. An Interoperable Architecture for Air Pollution Early Warning System Based on Sensor Web

    Science.gov (United States)

    Samadzadegan, F.; Zahmatkesh, H.; Saber, M.; Ghazi khanlou, H. J.

    2013-09-01

    Environmental monitoring systems deal with time-sensitive issues which require quick responses in emergency situations. Handling the sensor observations in near real-time and obtaining valuable information is challenging issues in these systems from a technical and scientific point of view. The ever-increasing population growth in urban areas has caused certain problems in developing countries, which has direct or indirect impact on human life. One of applicable solution for controlling and managing air quality by considering real time and update air quality information gathered by spatially distributed sensors in mega cities, using sensor web technology for developing monitoring and early warning systems. Urban air quality monitoring systems using functionalities of geospatial information system as a platform for analysing, processing, and visualization of data in combination with Sensor Web for supporting decision support systems in disaster management and emergency situations. This system uses Sensor Web Enablement (SWE) framework of the Open Geospatial Consortium (OGC), which offers a standard framework that allows the integration of sensors and sensor data into spatial data infrastructures. SWE framework introduces standards for services to access sensor data and discover events from sensor data streams as well as definition set of standards for the description of sensors and the encoding of measurements. The presented system provides capabilities to collect, transfer, share, process air quality sensor data and disseminate air quality status in real-time. It is possible to overcome interoperability challenges by using standard framework. In a routine scenario, air quality data measured by in-situ sensors are communicated to central station where data is analysed and processed. The extracted air quality status is processed for discovering emergency situations, and if necessary air quality reports are sent to the authorities. This research proposed an

  2. Automation warning system against driver falling asleep in-traffic

    Directory of Open Access Journals (Sweden)

    Dymov I. S.

    2017-12-01

    Full Text Available The paper is devoted to the development of a new automation recognition and warning system against driver falling asleep in-traffic. The issue of the physical condition control of professional drivers on the voyage has been considered both on the part of efficiency and quality of its determination, and in terms of improving overall road safety. The existing and widely used devices for determining the transition to the stage of sleep of drivers being in-traffic have been analyzed. Their advantages and disadvantages have been detected. It has been established that the main negative factor preventing the mass introduction of pre-existing warning systems is the need to wear one or another monitoring device before starting the movement. Carried out project research work has proposed a complex monitoring of the physical and physiological condition of driving person as a new warning method against falling asleep in-traffic. The proposed variations of algorithmic implementations can be used in long-distance trucks and passenger vehicles. Two different versions of the automatic control status of the driver physical condition have been considered. The first approach has proposed the use of sensors of the biometric parameters of body, pulsus, body temperature, and hands on wheel pressure sensors. The second one has proposed using the tracking cameras. Both for the first and second versions of the automation system a toolset of control devices is being installed inside the vehicle and have no physical, so irritating action on the driver. Software approach for the false operation rejection of the devices has been developed. The paper considers the flow diagrams of the automatic systems and logical structure of analysis and decision-making. The set of impacts intended for driver's awakening has been proposed. The conclusion about the engineering perspectives of the proposed approach of projected automation systems has been made.

  3. The Trend of Voluntary Warnings in Electronic Nicotine Delivery System Magazine Advertisements

    Directory of Open Access Journals (Sweden)

    Ce Shang

    2017-01-01

    Full Text Available Some manufacturers of electronic nicotine delivery systems (ENDS voluntarily carried health warnings in their advertisements. This study examined these voluntary warnings in magazine ads and plotted their trends between 2012 and early 2015. ENDS magazine ads were obtained through Kantar media and warnings were collected from the Chicago Public Library or the Trinkets and Trash surveillance system. The prevalence of voluntary warnings, warnings with the specific capitalized word “WARNING”, and MarkTen warnings were examined after being weighted using factors related to exposure between January 2012 and March 2015. Five brands (MarkTen, NJOY, MISTIC, and some Blu carried warnings during the study period. The prevalence of warnings post 2012 that contained a description of nicotine did not significantly increase until the launch of MarkTen, which also happened several months before April 2014 when the U.S. food and drug administration (FDA published its proposed deeming rule. In addition, none of these warnings met the criteria required by the FDA in the final rules. Voluntary warnings, particularly MarkTen warnings, significantly increased in ENDS magazine ads between 2014 and 2015. It is important to monitor how ENDS manufacturers will comply with the FDA regulation related to warnings and how this regulation will ultimately impact ENDS risk perceptions and use.

  4. An Early Warning System for Oil Security in China

    Directory of Open Access Journals (Sweden)

    Qingsong Wang

    2018-01-01

    Full Text Available The oil system security in a country or region will affect its sustainable development ability. China’s oil security has risen to the national strategic level. It is urgent to construct an early warning indicator system to reflect the oil security level accurately, as well as to diagnose and assess the oil system status effectively and put forward the corresponding proposals for ensuring oil security. An early warning indicator system of China’s oil system covering 23 sub-indicators from three aspects, i.e., resource security, market security and consumption security, was constructed using the SPSS (Statistical Product and Service Solutions factor analysis method. It shows that China’s oil system safety level has been seriously threatened and is generally declining. However, due to the strong introduction of energy policies and increasing energy utilization technology in recent years, the increasing proportion of new energy, renewable energy and oil substitutes eases the energy security threats. In response to complex oil security issues, the Chinese government needs to strengthen macroeconomic regulation and control at the policy level continuously, increase efforts to explore resource reserves, upgrade energy conservation and emission reduction technologies, develop new alternatives for oil products, and reduce the dependence on international oil imports.

  5. An Architecture for Automated Fire Detection Early Warning System Based on Geoprocessing Service Composition

    Science.gov (United States)

    Samadzadegan, F.; Saber, M.; Zahmatkesh, H.; Joze Ghazi Khanlou, H.

    2013-09-01

    Rapidly discovering, sharing, integrating and applying geospatial information are key issues in the domain of emergency response and disaster management. Due to the distributed nature of data and processing resources in disaster management, utilizing a Service Oriented Architecture (SOA) to take advantages of workflow of services provides an efficient, flexible and reliable implementations to encounter different hazardous situation. The implementation specification of the Web Processing Service (WPS) has guided geospatial data processing in a Service Oriented Architecture (SOA) platform to become a widely accepted solution for processing remotely sensed data on the web. This paper presents an architecture design based on OGC web services for automated workflow for acquisition, processing remotely sensed data, detecting fire and sending notifications to the authorities. A basic architecture and its building blocks for an automated fire detection early warning system are represented using web-based processing of remote sensing imageries utilizing MODIS data. A composition of WPS processes is proposed as a WPS service to extract fire events from MODIS data. Subsequently, the paper highlights the role of WPS as a middleware interface in the domain of geospatial web service technology that can be used to invoke a large variety of geoprocessing operations and chaining of other web services as an engine of composition. The applicability of proposed architecture by a real world fire event detection and notification use case is evaluated. A GeoPortal client with open-source software was developed to manage data, metadata, processes, and authorities. Investigating feasibility and benefits of proposed framework shows that this framework can be used for wide area of geospatial applications specially disaster management and environmental monitoring.

  6. AN ARCHITECTURE FOR AUTOMATED FIRE DETECTION EARLY WARNING SYSTEM BASED ON GEOPROCESSING SERVICE COMPOSITION

    Directory of Open Access Journals (Sweden)

    F. Samadzadegan

    2013-09-01

    Full Text Available Rapidly discovering, sharing, integrating and applying geospatial information are key issues in the domain of emergency response and disaster management. Due to the distributed nature of data and processing resources in disaster management, utilizing a Service Oriented Architecture (SOA to take advantages of workflow of services provides an efficient, flexible and reliable implementations to encounter different hazardous situation. The implementation specification of the Web Processing Service (WPS has guided geospatial data processing in a Service Oriented Architecture (SOA platform to become a widely accepted solution for processing remotely sensed data on the web. This paper presents an architecture design based on OGC web services for automated workflow for acquisition, processing remotely sensed data, detecting fire and sending notifications to the authorities. A basic architecture and its building blocks for an automated fire detection early warning system are represented using web-based processing of remote sensing imageries utilizing MODIS data. A composition of WPS processes is proposed as a WPS service to extract fire events from MODIS data. Subsequently, the paper highlights the role of WPS as a middleware interface in the domain of geospatial web service technology that can be used to invoke a large variety of geoprocessing operations and chaining of other web services as an engine of composition. The applicability of proposed architecture by a real world fire event detection and notification use case is evaluated. A GeoPortal client with open-source software was developed to manage data, metadata, processes, and authorities. Investigating feasibility and benefits of proposed framework shows that this framework can be used for wide area of geospatial applications specially disaster management and environmental monitoring.

  7. The Effect of Sonic Booms on Earthquake Warning Systems

    Science.gov (United States)

    Wurman, Gilead; Haering, Edward A, Jr.; Price, Michael J.

    2011-01-01

    Several aerospace companies are designing quiet supersonic business jets for service over the United States. These aircraft have the potential to increase the occurrence of mild sonic booms across the country. This leads to interest among earthquake warning (EQW) developers and the general seismological community in characterizing the effect of sonic booms on seismic sensors in the field, their potential impact on EQW systems, and means of discriminating their signatures from those of earthquakes. The SonicBREWS project (Sonic Boom Resistant Earthquake Warning Systems) is a collaborative effort between Seismic Warning Systems, Inc. (SWS) and NASA Dryden Flight Research Center. This project aims to evaluate the effects of sonic booms on EQW sensors. The study consists of exposing high-sample-rate (1000 sps) triaxial accelerometers to sonic booms with overpressures ranging from 10 to 600 Pa in the free field and the built environment. The accelerometers record the coupling of the sonic boom to the ground and surrounding structures, while microphones record the acoustic wave above ground near the sensor. Sonic booms are broadband signals with more high-frequency content than earthquakes. Even a 1000 sps accelerometer will produce a significantly aliased record. Thus the observed peak ground velocity is strongly dependent on the sampling rate, and increases as the sampling rate is reduced. At 1000 sps we observe ground velocities that exceed those of P-waves from ML 3 earthquakes at local distances, suggesting that sonic booms are not negligible for EQW applications. We present the results of several experiments conducted under SonicBREWS showing the effects of typical-case low amplitude sonic booms and worst-case high amplitude booms. We show the effects of various sensor placements and sensor array geometries. Finally, we suggest possible avenues for discriminating sonic booms from earthquakes for the purposes of EQW.

  8. Implementing the national AIGA flash flood warning system in France

    Science.gov (United States)

    Organde, Didier; Javelle, Pierre; Demargne, Julie; Arnaud, Patrick; Caseri, Angelica; Fine, Jean-Alain; de Saint Aubin, Céline

    2015-04-01

    The French national hydro-meteorological and flood forecasting centre (SCHAPI) aims to implement a national flash flood warning system to improve flood alerts for small-to-medium (up to 1000 km2) ungauged basins. This system is based on the AIGA method, co-developed by IRSTEA these last 10 years. The method, initially set up for the Mediterranean area, is based on a simple event-based hourly hydrologic distributed model run every 15 minutes (Javelle et al. 2014). The hydrologic model ingests operational radar-gauge rainfall grids from Météo-France at a 1-km² resolution to produce discharges for successive outlets along the river network. Discharges are then compared to regionalized flood quantiles of given return periods and warnings (expressed as the range of the return period estimated in real-time) are provided on a river network map. The main interest of the method is to provide forecasters and emergency services with a synthetic view in real time of the ongoing flood situation, information that is especially critical in ungauged flood prone areas. In its enhanced national version, the hourly event-based distributed model is coupled to a continuous daily rainfall-runoff model which provides baseflow and a soil moisture index (for each 1-km² pixel) at the beginning of the hourly simulation. The rainfall-runoff models were calibrated on a selection of 700 French hydrometric stations with Météo-France radar-gauge reanalysis dataset for the 2002-2006 period. To estimate model parameters for ungauged basins, the 2 hydrologic models were regionalised by testing both regressions (using different catchment attributes, such as catchment area, soil type, and climate characteristic) and spatial proximity techniques (transposing parameters from neighbouring donor catchments), as well as different homogeneous hydrological areas. The most valuable regionalisation method was determined for each model through jack-knife cross-validation. The system performance was then

  9. Cloud Standby: Disaster Recovery of Distributed Systems in the Cloud

    OpenAIRE

    Lenk , Alexander; Tai , Stefan

    2014-01-01

    International audience; Disaster recovery planning and securing business processes against outtakes have been essential parts of running a company for decades. As IT systems became more important, and especially since more and more revenue is generated over the Internet, securing the IT systems that support the business processes against outages is essential. Using fully operational standby sites with periodically updated standby systems is a well-known approach to prepare against disasters. ...

  10. Hybrid Intrusion Forecasting Framework for Early Warning System

    Science.gov (United States)

    Kim, Sehun; Shin, Seong-Jun; Kim, Hyunwoo; Kwon, Ki Hoon; Han, Younggoo

    Recently, cyber attacks have become a serious hindrance to the stability of Internet. These attacks exploit interconnectivity of networks, propagate in an instant, and have become more sophisticated and evolutionary. Traditional Internet security systems such as firewalls, IDS and IPS are limited in terms of detecting recent cyber attacks in advance as these systems respond to Internet attacks only after the attacks inflict serious damage. In this paper, we propose a hybrid intrusion forecasting system framework for an early warning system. The proposed system utilizes three types of forecasting methods: time-series analysis, probabilistic modeling, and data mining method. By combining these methods, it is possible to take advantage of the forecasting technique of each while overcoming their drawbacks. Experimental results show that the hybrid intrusion forecasting method outperforms each of three forecasting methods.

  11. Regional early flood warning system: design and implementation

    Science.gov (United States)

    Chang, L. C.; Yang, S. N.; Kuo, C. L.; Wang, Y. F.

    2017-12-01

    This study proposes a prototype of the regional early flood inundation warning system in Tainan City, Taiwan. The AI technology is used to forecast multi-step-ahead regional flood inundation maps during storm events. The computing time is only few seconds that leads to real-time regional flood inundation forecasting. A database is built to organize data and information for building real-time forecasting models, maintaining the relations of forecasted points, and displaying forecasted results, while real-time data acquisition is another key task where the model requires immediately accessing rain gauge information to provide forecast services. All programs related database are constructed in Microsoft SQL Server by using Visual C# to extracting real-time hydrological data, managing data, storing the forecasted data and providing the information to the visual map-based display. The regional early flood inundation warning system use the up-to-date Web technologies driven by the database and real-time data acquisition to display the on-line forecasting flood inundation depths in the study area. The friendly interface includes on-line sequentially showing inundation area by Google Map, maximum inundation depth and its location, and providing KMZ file download of the results which can be watched on Google Earth. The developed system can provide all the relevant information and on-line forecast results that helps city authorities to make decisions during typhoon events and make actions to mitigate the losses.

  12. The International Platform on Earthquake Early Warning Systems (IP-EEWS)

    Science.gov (United States)

    Torres, Jair; Fanchiotti, Margherita

    2017-04-01

    The Sendai Framework for Disaster Risk Reduction 2015-2030 recognizes the need to "substantially increase the availability of and access to multi-hazard early warning systems and disaster risk information and assessments to the people by 2030" as one of its global targets (target "g"). While considerable progress has been made in recent decades, early warning systems (EWSs) continue to be less developed for geo-hazards and significant challenges remain in advancing the development of EWSs for specific hazards, particularly for fastest onset hazards such as earthquakes. An earthquake early warning system (EEWS) helps in disseminating timely information about potentially catastrophic earthquake hazards to the public, emergency managers and the private sector to provide enough time to implement automatized emergency measures. At the same time, these systems help to reduce considerably the CO2 emissions produced by the catastrophic impacts and subsequent effects of earthquakes, such as those generated by fires, collapses, and pollution (among others), as well as those produced in the recovery and reconstruction processes. In recent years, EEWSs have been developed independently in few countries: EEWSs have shown operational in Japan and Mexico, while other regions in California (USA), Turkey, Italy, Canada, South Korea and China (including Taiwan) are in the development stages or under restricted applications. Many other countries in the Indian Subcontinent, Southeast Asia, Central Asia, Middle East, Eastern Africa, Southeast Africa, as well as Central America, South America and the Caribbean, are located in some of the most seismically active regions in the world, or present moderate seismicity but high vulnerability, and would strongly benefit from the development of EEWSs. Given that, in many instances, the development of an EEWS still requires further testing, increased density coverage in seismic observation stations, regional coordination, and further scientific

  13. False alarms and missed events: the impact and origins of perceived inaccuracy in tornado warning systems.

    Science.gov (United States)

    Ripberger, Joseph T; Silva, Carol L; Jenkins-Smith, Hank C; Carlson, Deven E; James, Mark; Herron, Kerry G

    2015-01-01

    Theory and conventional wisdom suggest that errors undermine the credibility of tornado warning systems and thus decrease the probability that individuals will comply (i.e., engage in protective action) when future warnings are issued. Unfortunately, empirical research on the influence of warning system accuracy on public responses to tornado warnings is incomplete and inconclusive. This study adds to existing research by analyzing two sets of relationships. First, we assess the relationship between perceptions of accuracy, credibility, and warning response. Using data collected via a large regional survey, we find that trust in the National Weather Service (NWS; the agency responsible for issuing tornado warnings) increases the likelihood that an individual will opt for protective action when responding to a hypothetical warning. More importantly, we find that subjective perceptions of warning system accuracy are, as theory suggests, systematically related to trust in the NWS and (by extension) stated responses to future warnings. The second half of the study matches survey data against NWS warning and event archives to investigate a critical follow-up question--Why do some people perceive that their warning system is accurate, whereas others perceive that their system is error prone? We find that subjective perceptions are--in part-a function of objective experience, knowledge, and demographic characteristics. When considered in tandem, these findings support the proposition that errors influence perceptions about the accuracy of warning systems, which in turn impact the credibility that people assign to information provided by systems and, ultimately, public decisions about how to respond when warnings are issued. © 2014 Society for Risk Analysis.

  14. [Health threats and health system crises. An approach to early warning and response. 2008 SESPAS Report].

    Science.gov (United States)

    Simón Soria, Fernando; Guillén Enríquez, Francisco Javier

    2008-04-01

    The world is changing more and faster than ever before. New diseases are coming to light each year, controlled diseases are reemerging as potential threats, and natural or man-made disasters are increasingly affecting human health. The "International Health Regulations (2005)" reflect the changes in the response of public health to this new situation. Surveillance of specific diseases and predefined control measures have been replaced by surveillance of public health events of international concern and control measures adapted to each situation. The public health events of international interest are characterized by their seriousness, predictability, the risk of international spread and potential for travel or trade restrictions. The development of the European Early Warning and Response System in 1998 and the creation of the European Center for Disease Prevention and Control in 2005 demonstrate political commitment in Europe, with early detection of and response to public health threats. However, timely risk evaluation and response at a national level requires improved data digitalization and accessibility, automatic notification processes, data analysis and dissemination of information, the combination of information from multiple sources and adaptation of public health services. The autonomous regions in Spain are initiating this adaptation process, but interoperability between systems and the development of guidelines for a coordinated response should be steered by the National Interregional Health Council and coordinated by the Ministry of Health. Efficient early warning systems of health threats that allow for a timely response and reduce uncertainty about information would help to minimize the risk of public health crises. The profile of public health threats is nonspecific. Early detection of threats requires access to information from multiple sources and efficient risk assessment. Key factors for improving the response to public health threats are the

  15. Vulnerability analysis for a drought Early Warning System

    Science.gov (United States)

    Angeluccetti, Irene; Demarchi, Alessandro; Perez, Francesca

    2014-05-01

    Early Warning Systems (EWS) for drought are often based on risk models that do not, or marginally, take into account the vulnerability factor. The multifaceted nature of drought (hydrological, meteorological, and agricultural) is source of coexistence for different ways to measure this phenomenon and its effects. The latter, together with the complexity of impacts generated by this hazard, causes the current underdevelopment of drought EWS compared to other hazards. In Least Developed Countries, where drought events causes the highest numbers of affected people, the importance of correct monitoring and forecasting is considered essential. Existing early warning and monitoring systems for drought produced at different geographic levels, provide only in a few cases an actual spatial model that tries to describe the cause-effect link between where the hazard is detected and where impacts occur. Integrate vulnerability information in such systems would permit to better estimate affected zones and livelihoods, improving the effectiveness of produced hazard-related datasets and maps. In fact, the need of simplification and, in general, of a direct applicability of scientific outputs is still a matter of concern for field experts and early warning products end-users. Even if the surplus of hazard related information produced right after catastrophic events has, in some cases, led to the creation of specific data-sharing platforms, the conveyed meaning and usefulness of each product has not yet been addressed. The present work is an attempt to fill this gap which is still an open issue for the scientific community as well as for the humanitarian aid world. The study aims at conceiving a simplified vulnerability model to embed into an existing EWS for drought, which is based on the monitoring of vegetation phenological parameters and the Standardized Precipitation Index, both produced using free satellite derived datasets. The proposed vulnerability model includes (i) a

  16. Multicriteria Early Warning System of Enterprises against the Bankruptcy Risk

    Directory of Open Access Journals (Sweden)

    Tomasz Korol

    2010-12-01

    Full Text Available This article is devoted to the issue of forecasting the bankruptcy risk of the enterprises. In the article author compares the effectiveness of multicriteria early warning system with the traditional discriminant analysis model of forecasting the risks of bankruptcy of companies. In the conducted research author has used data on 185 companies listed on the Warsaw Stock Exchange Market. This population of firms was divided into learning and testing setdata. Each company has been analyzed using the absolute values of 14 financial ratios and the dynamics of change of these ratios. Additionally, author has used the macroeconomic variables in developed multicriteria system. The author’s developed models are characterized by high efficiency. These studies are the first attempt to use fuzzy logic to predict the bankruptcy of companies in Poland and one of the first in the world. Obtained results demonstrate the great potential of this method.  

  17. The 2011 Tuscaloosa tornado: integration of pediatric disaster services into regional systems of care.

    Science.gov (United States)

    Kanter, Robert K

    2012-09-01

    To empirically describe the integration of pediatric disaster services into regional systems of care after the April 27, 2011, tornado in Tuscaloosa, Alabama, a community with no pediatric emergency department or pediatric intensive care unit and few pediatric subspecialists. Data were obtained in interviews with key informants including professional staff and managers from public health and emergency management agencies, prehospital emergency medical services, fire departments, hospital nurses, physicians, and the trauma program coordinator. A single hospital in Tuscaloosa served 800 patients on the night of the tornado. More than 100 of these patients were children, including more than 20 with critical injuries. Many children were unaccompanied and unidentified on arrival. Resuscitation and stabilization were performed by nonpediatric prehospital and emergency department staff. More than 20 children were secondarily transported to the nearest children's hospital an hour's drive away under the care of nonpediatric local emergency medical services providers. No preventable adverse events were identified in the resuscitation and secondary transport phases of care. Stockpiled supplies and equipment were adequate to serve the needs of the disaster victims, including the children. Essential aspects of preparation include pediatric-specific clinical skills, supplies and equipment, operational disaster plans, and interagency practice embedded in everyday work. Opportunities for improvement identified include more timely response to warnings, improved practices for identifying unaccompanied children, and enhanced child safety in shelters. Successful responses depended on integration of pediatric services into regional systems of care. Copyright © 2012 Mosby, Inc. All rights reserved.

  18. An early warning system for flash floods in Egypt

    Science.gov (United States)

    Cools, J.; Abdelkhalek, A.; El Sammany, M.; Fahmi, A. H.; Bauwens, W.; Huygens, M.

    2009-09-01

    This paper describes the development of the Flash Flood Manager, abbreviated as FlaFloM. The Flash Flood Manager is an early warning system for flash floods which is developed under the EU LIFE project FlaFloM. It is applied to Wadi Watier located in the Sinai peninsula (Egypt) and discharges in the Red Sea at the local economic and tourist hub of Nuweiba city. FlaFloM consists of a chain of four modules: 1) Data gathering module, 2) Forecasting module, 3) Decision support module or DSS and 4) Warning module. Each module processes input data and consequently send the output to the following module. In case of a flash flood emergency, the final outcome of FlaFloM is a flood warning which is sent out to decision-makers. The ‘data gathering module’ collects input data from different sources, validates the input, visualise data and exports it to other modules. Input data is provided ideally as water stage (h), discharge (Q) and rainfall (R) through real-time field measurements and external forecasts. This project, however, as occurs in many arid flash flood prone areas, was confronted with a scarcity of data, and insufficient insight in the characteristics that release a flash flood. Hence, discharge and water stage data were not available. Although rainfall measurements are available through classical off line rain gauges, the sparse rain gauges network couldn’t catch the spatial and temporal characteristics of rainfall events. To overcome this bottleneck, we developed rainfall intensity raster maps (mm/hr) with an hourly time step and raster cell of 1*1km. These maps are derived through downscaling from two sources of global instruments: the weather research and forecasting model (WRF) and satellite estimates from the Tropical Rainfall Measuring Mission (TRMM). The ‘forecast module’ comprises three numerical models that, using data from the gathering module performs simulations on command: a rainfall-runoff model, a river flow model, and a flood model. A

  19. A Study about the 3S-based Great Ruins Monitoring and Early-warning System

    Science.gov (United States)

    Xuefeng, W.; Zhongyuan, H.; Gongli, L.; Li, Z.

    2015-08-01

    Large-scale urbanization construction and new countryside construction, frequent natural disasters, and natural corrosion pose severe threat to the great ruins. It is not uncommon that the cultural relics are damaged and great ruins are occupied. Now the ruins monitoring mainly adopt general monitoring data processing system which can not effectively exert management, display, excavation analysis and data sharing of the relics monitoring data. Meanwhile those general software systems require layout of large number of devices or apparatuses, but they are applied to small-scope relics monitoring only. Therefore, this paper proposes a method to make use of the stereoscopic cartographic satellite technology to improve and supplement the great ruins monitoring index system and combine GIS and GPS to establish a highly automatic, real-time and intelligent great ruins monitoring and early-warning system in order to realize collection, processing, updating, spatial visualization, analysis, distribution and sharing of the monitoring data, and provide scientific and effective data for the relics protection, scientific planning, reasonable development and sustainable utilization.

  20. An early warning system for flash floods in hyper-arid Egypt

    Science.gov (United States)

    Cools, J.; Vanderkimpen, P.; El Afandi, G.; Abdelkhalek, A.; Fockedey, S.; El Sammany, M.; Abdallah, G.; El Bihery, M.; Bauwens, W.; Huygens, M.

    2012-02-01

    An early warning system (EWS) for flash floods has been developed for part of the Sinai peninsula of Egypt, an hyper-arid area confronted with limited availability of field data, limited understanding of the response of the wadi to rainfall, and a lack of correspondence between rainfall data and observed flash flood events. This paper shows that an EWS is not a "mission impossible" when confronted with large technical and scientific uncertainties and limited data availability. Firstly, the EWS has been developed and tested based on the best available information, this being quantitative data (field measurements, simulations and remote sensing images) complemented with qualitative "expert opinion" and local stakeholders' knowledge. Secondly, a set of essential parameters has been identified to be estimated or measured under data-poor conditions. These are: (1) an inventory of past significant rainfall and flash flood events, (2) the spatial and temporal distribution of the rainfall events and (3) transmission and infiltration losses and (4) thresholds for issuing warnings. Over a period of 30 yr (1979-2010), only 20 significant rain events have been measured. Nine of these resulted in a flash flood. Five flash floods were caused by regional storms and four by local convective storms. The results for the 2010 flash flood show that 90% of the total rainfall volume was lost to infiltration and transmission losses. Finally, it is discussed that the effectiveness of an EWS is only partially determined by technological performance. A strong institutional capacity is equally important, especially skilled staff to operate and maintain the system and clear communication pathways and emergency procedures in case of an upcoming disaster.

  1. Flood and landslide warning based on rainfall thresholds and soil moisture indexes: the HEWS (Hydrohazards Early Warning System for Sicily

    Directory of Open Access Journals (Sweden)

    G. Brigandì

    2017-09-01

    Full Text Available The main focus of the paper is to present a flood and landslide early warning system, named HEWS (Hydrohazards Early Warning System, specifically developed for the Civil Protection Department of Sicily, based on the combined use of rainfall thresholds, soil moisture modelling and quantitative precipitation forecast (QPF. The warning system is referred to 9 different Alert Zones in which Sicily has been divided into and based on a threshold system of three different increasing critical levels: ordinary, moderate and high. In this system, for early flood warning, a Soil Moisture Accounting (SMA model provides daily soil moisture conditions, which allow to select a specific set of three rainfall thresholds, one for each critical level considered, to be used for issue the alert bulletin. Wetness indexes, representative of the soil moisture conditions of a catchment, are calculated using a simple, spatially-lumped rainfall–streamflow model, based on the SCS-CN method, and on the unit hydrograph approach, that require daily observed and/or predicted rainfall, and temperature data as input. For the calibration of this model daily continuous time series of rainfall, streamflow and air temperature data are used. An event based lumped rainfall–runoff model has been, instead, used for the derivation of the rainfall thresholds for each catchment in Sicily characterised by an area larger than 50 km2. In particular, a Kinematic Instantaneous Unit Hydrograph based lumped rainfall–runoff model with the SCS-CN routine for net rainfall was developed for this purpose. For rainfall-induced shallow landslide warning, empirical rainfall thresholds provided by Gariano et al. (2015 have been included in the system. They were derived on an empirical basis starting from a catalogue of 265 shallow landslides in Sicily in the period 2002–2012. Finally, Delft-FEWS operational forecasting platform has been applied to link input data, SMA model and rainfall

  2. Designing and implementing more effective Integrated Early Warning Systems in mountain areas: a case study from Northern Italy

    Directory of Open Access Journals (Sweden)

    Carolina García

    2012-03-01

    Full Text Available It is essential to consider and to understand the social context in which an Early Warning System (EWS is planned and to integrate all of its components, otherwise it is likely to fail. EWS are complex tools for disaster risk reduction which are only effective if they generate an appropriate response in the exposed population. Any effective EWS relies on the reaction capacity of all stakeholders. This reaction capacity is strongly dependent on how well EWS are integrated within their social context, especially with regards to potential marginalized and vulnerable communities. This dependence was confirmed in the study area in Valtellina di Tirano, northern Italy, which is recurrently affected by multiple mountain hazards. The local population is geographically marginalized due to restricted access to the region and exposure to hazardous events, and socially marginalized due to the lack of participation in decision making. Results of a survey show that the local population has low levels of perceived risk, a general lack of self-responsibility with regard to disaster risk reduction, and a tendency to transfer the responsibility to the authorities. However, respondents acknowledge and show interest in addressing their lack of preparedness and in participating actively in disaster risk reduction efforts. A follow-up survey demonstrates that significant variations in vulnerability within a given community over time, occur together with changes in traditional livelihood activities, economic systems and population demographics.

  3. Designing the upgrade of the Early Warning System in Slovenia

    International Nuclear Information System (INIS)

    Cindro, M.; Mitic, D.; Stritar, A.

    2004-01-01

    When designing an upgrade of early warning network for radiological emergencies one has to consider physical criteria as well as technical and financial possibilities, making the system the best possible compromise between the above mentioned aspects. In the case of the Slovenian Early Warning System (EWS) upgrade, the design was even harder because of the need to implement the existing measuring sites into the new scheme. We plan to add 35 new locations with external radiation and meteorology measurements to the 42 already existing sites. In the article we will describe the selection criteria for measuring sites and the requirements for the measuring equipment as well as a discussion of the physical quantities that need to be measured. In addition to gamma dose rate measurements, which are essential for radiological emergencies, meteorological measurements also provide vital information for the assessment of the situation. Especially we describe an additional necessary meteorological equipment which has to be installed. Today's communication technologies offer many possibilities for data transfer from the measuring site to the central data gathering unit and one has to choose the most appropriate one, primarily considering reliability but also cost effectiveness. For that reason new measuring sites will be at the locations already used for meteorological measurements by the Environmental Agency of the Republic of Slovenia. The Central Unit (CU) of such a network is the core of the system were all data have to be controlled, analysed and presented to the operator providing him with as much data as possible in a simple and clear fashion. (author)

  4. CONCEPTUAL DIFFERENCES BETWEEN THE PACIFIC, ATLANTIC AND ARCTIC TSUNAMI WARNING SYSTEMS FOR CANADA

    Directory of Open Access Journals (Sweden)

    T.S. Murty

    2005-01-01

    Full Text Available Canada has coastlines on three of the four oceans on the globe, namely, the Pacific, Atlantic and Arctic oceans. The Pacific and Atlantic oceans are connected to the Arctic Ocean in the north, but still they are three distinct oceans, and need three individual tsunami warning systems. Tsunamis in the Arctic Ocean are not as well documented as in the Pacific and Atlantic oceans. From what is known, tsunamis in the Arctic Ocean are rare and probably are small in amplitude. Because of very low population density, around the Canadian Arctic, at present, there is no priority for a tsunami warning system for Arctic Canada. For the Pacific Ocean, a tsunami warning system is in existence since 1948. In at least one sense, the warning aspects of the tsunami warning system for the Pacific coast of Canada, is relatively simple and straight forward, because it involves only the federal government (PSEPC and the provincial government of British Columbia (PEP. For the Atlantic Ocean, A tsunami warning system is now being established. The warning aspects will be some what more complex for eastern Canada, since it not only involves the federal government, but also five provinces, namely, Newfoundland and Labrador, Nova Scotia, New Brunswick, Prince Edward Island and Quebec. The Alaska tsunami warning center (ATWC in Palmer, Alaska, provides tsunami warnings for both Pacific and Atlantic Canada.

  5. Armenian earthquake WWER-440 NNPs and Turkish early warning system

    International Nuclear Information System (INIS)

    Bektur, Y.

    1991-01-01

    On December 7, 1988 a severe earthquake occurred at Spitak, approximately 90-100 km far from the Armenian Nuclear Power Plant in Yerivan. Another one named Vrancea earthquake which occurred on 4 March, 1977. During this earthquake, the Kozloduj NPP (Bulgaria) was strongly damaged. Until this event, seismic loadings had received scant attention in the siting of WWER's. However after the Kozlodui damage Soviet designers changed their opinion. In this study, the seismicity of the Black Sea region and eastern Europe, seismic requirements for WWER's and the changes in plants for which to resistant against to the earthquake are given. During the earthquake radiation levels obtained by Turkish early warning system is also given

  6. Development of Water Resources Drought Early Warning System

    Science.gov (United States)

    Chen, B. P. T.; Chen, C. H.

    2017-12-01

    Signs of impending drought are often vague and result from hydrologic uncertainty. Because of this, determining the appropriate time to enforce water supply restrictions is difficult. This study proposes a drought early warning index (DEWI) that can help water resource managers to anticipate droughts so that preparations can be made to mitigate the impact of water shortages. This study employs the expected-deficit-rate of normal water supply conditions as the drought early warning index. An annual-use-reservoir-based water supply system in southern Taiwan was selected as the case study. The water supply simulation was based on reservoir storage at the evaluation time and the reservoir inflow series to cope with the actual water supply process until the end of the hydrologic year. A variety of deficits could be realized during different hydrologic years of records and assumptions of initial reservoir storage. These deficits are illustrated using the Average Shortage Rate (ASR) and the value of the ASR, namely the DEWI. The ASR is divided into 5 levels according to 5 deficit-tolerance combinations of each kind of annual demand. A linear regression model and a Neuro-Fuzzy Computing Technique model were employed to estimate the DEWI using selected factors deduced from supply-demand traits and available information, including: rainfall, reservoir inflow and storage data. The chosen methods mentioned above are used to explain a significant index is useful for both model development and decision making. Tests in the Tsengwen-Wushantou reservoir system showed this DEWI to perform very well in adopting the proper mitigation policy at the end of the wet season.

  7. Oak Ridge Reservation Public Warning Siren System Annual Test Report

    International Nuclear Information System (INIS)

    R. F. Gee

    2000-01-01

    The full operational test of the Oak Ridge Reservation (ORR) Public Warning Siren System (PWSS) was successfully conducted on September 27, 2000. The annual test is a full-scale sounding of the individual siren systems around each of the three Department of Energy (DOE) sites in Oak Ridge, Tennessee. The purpose of the annual test is to demonstrate and validate the siren systems' ability to alert personnel outdoors in the Immediate Notification Zones (INZ) (approximately two miles) around each site. The success of this test is based on two critical functions of the siren system. The first function is system operability. The system is considered operable if 90% of the sirens are operational. System diagnostics and direct field observations were used to validate the operability of the siren systems. Based on the diagnostic results and field observations, greater than 90% of the sirens were considered operational. The second function is system audibility. The system is considered audible if the siren could be heard in the immediate notification zones around each of the three sites. Direct field observations, along with sound level measurements, were used to validate the audibility of the siren system. Based on the direct field observations and sound level measurements, the siren system was considered audible. The combination of field observations, system diagnostic status reports, and sound level measurements provided a high level of confidence that the system met and would meet operational requirements upon demand. As part of the overall system test, the Tennessee Emergency Management Agency (TEMA) activated the Emergency Alerting System (EAS), which utilized area radio stations to make announcements regarding the test and to remind residents of what to do in the event of an actual emergency

  8. Disaster Management System as an Element of Risk Management for Natural Disaster Systems Using the PESTLE Framework

    OpenAIRE

    Sarwar, D; Ramachandran, M; Hosseinian Far, A

    2017-01-01

    Recently, we have witnessed so many natural catastrophes such as earthquakes in Japan, severe floods in the UK, US and many other parts of the world. Consequently businesses have been losing tens of billions of dollars as a result of various natural and man-made disasters. Disaster Management System (DMS) have proven to be important means for reducing risks associated with such damages to businesses. A DMS can minimize and in some cases, eliminates the risks through technical, management or o...

  9. EURADOS intercomparison 2006 to harmonise European early warning dosimetry systems

    International Nuclear Information System (INIS)

    Dombrowski, H.; Neumaier, S.; Thompson, I. M. G.; Wissmann, F.

    2009-01-01

    In 2006, the European Radiation Dosimetry (EURADOS) Working Group on Environmental Radiation Monitoring (WG3) organised a third European intercomparison of dosimetry systems operated in national early warning networks. Similar to the intercomparisons in 1999 and 2002, the main aim of this exercise was to support the process of harmonisation of area monitoring in Europe by providing the network operators with basic information on the calibration and performance of their dosimetry systems. In order to characterise these systems, their following basic parameters were investigated: the response to terrestrial and cosmic radiation, the detectors' inherent background, the response at low dose rates, the energy dependence of the response as well as the sensitivity of the detector systems to small changes of the dose rate in a natural environmental radiation field. In the 2006 EURADOS intercomparison, scientists from seven countries participated to study the characteristics of 11 detector systems. All results are presented in terms of the operational quantity ambient dose equivalent, H * (10). The advent of this quantity has caused the development of new detector systems for area monitoring. Some of these new systems participated in a EURADOS intercomparison for the first time. The results are consistently presented together with uncertainties so that statistical effects can be distinguished from real detector features, which improves the interpretation of the results. By using the results of this intercomparison, some detectors were re-calibrated. The achievable improvements concerning harmonisation in dose-rate measurements in the natural environment are discussed. (authors)

  10. Collision warning system based on probability density functions

    NARCIS (Netherlands)

    Broek, T.H.A. van den; Ploeg, J.

    2010-01-01

    In this paper, a collision warning method between the host vehicle and target object(s) is studied. A probabilistic collision warning method is proposed, which is, in particular, useful for objects, e.g. vulnerable road users, which trajectories can rapidly change heading and/or velocity with

  11. Real-Time Target Motion Animation for Missile Warning System Testing

    Science.gov (United States)

    2006-04-01

    T. Perkins, R. Sundberg, J. Cordell, Z. Tun , and M. Owen, Real-time Target Motion Animation for Missile Warning System Testing, Proc. SPIE Vol 6208...Z39-18 Real-time target motion animation for missile warning system testing Timothy Perkins*a, Robert Sundberga, John Cordellb, Zaw Tunb, Mark

  12. Advanced driver assistance systems: Using multimodal redundant warnings to enhance road safety.

    Science.gov (United States)

    Biondi, Francesco; Strayer, David L; Rossi, Riccardo; Gastaldi, Massimiliano; Mulatti, Claudio

    2017-01-01

    This study investigated whether multimodal redundant warnings presented by advanced assistance systems reduce brake response times. Warnings presented by assistance systems are designed to assist drivers by informing them that evasive driving maneuvers are needed in order to avoid a potential accident. If these warnings are poorly designed, they may distract drivers, slow their responses, and reduce road safety. In two experiments, participants drove a simulated vehicle equipped with a forward collision avoidance system. Auditory, vibrotactile, and multimodal warnings were presented when the time to collision was shorter than five seconds. The effects of these warnings were investigated with participants performing a concurrent cell phone conversation (Exp. 1) or driving in high-density traffic (Exp. 2). Braking times and subjective workload were measured. Multimodal redundant warnings elicited faster braking reaction times. These warnings were found to be effective even when talking on a cell phone (Exp. 1) or driving in dense traffic (Exp. 2). Multimodal warnings produced higher ratings of urgency, but ratings of frustration did not increase compared to other warnings. Findings obtained in these two experiments are important given that faster braking responses may reduce the potential for a collision. Copyright © 2016 Elsevier Ltd. All rights reserved.

  13. Impact of a warning CPOE system on the inappropriate pill splitting of prescribed medications in outpatients.

    Directory of Open Access Journals (Sweden)

    Chia-Chen Hsu

    Full Text Available Prescribing inappropriate pill splitting is not rare in clinical practice. To reduce inappropriate pill splitting, we developed an automatic warning system linked to a computerized physician order entry (CPOE system for special oral formulation drugs in outpatient settings. We examined the impact of the warning system on inappropriate prescribing of pill splitting and assess prescribers' responses to the warnings.Drugs with extended-release or enteric-coated formulations that were not originally intended to be split were recognized as "special oral formulations". A hard-stop system which could examine non-integer doses of drugs with special oral formulations, provide warnings to interrupt inappropriate prescriptions was integrated in CPOE in a medical center since June 2010. We designed an intervention study to compare the inappropriate splitting before and after the implementation of the warning system (baseline period 2010 January to May vs. intervention period 2010 June to 2011 August. During the intervention period, prescription changes in response to a warning were logged and analyzed.A total of 470,611 prescribed drug items with 34 different drugs with special oral formulations were prescribed in the study period. During the 15-month intervention period, 909 warnings for 26 different drugs were triggered among 354,523 prescribed drug items with special oral formulations. The warning rate of inappropriate splitting in the late intervention period was lower than those in baseline period (0.16% vs. 0.61%, incidence rate ratio 0.27, 95% CI 0.23-0.31, P<0.001. In respond to warnings, physicians had to make adjustments, of which the majority was changing to an unsplit pill (72.9%.The interruptive warning system could avoid the prescriptions with inappropriate pill splitting. Accordingly, physicians changed their behavior of prescribing special oral formulations regarding inappropriate pill splitting. We suggest the establishment of such system

  14. Operational Forecasting and Warning systems for Coastal hazards in Korea

    Science.gov (United States)

    Park, Kwang-Soon; Kwon, Jae-Il; Kim, Jin-Ah; Heo, Ki-Young; Jun, Kicheon

    2017-04-01

    Coastal hazards caused by both Mother Nature and humans cost tremendous social, economic and environmental damages. To mitigate these damages many countries have been running the operational forecasting or warning systems. Since 2009 Korea Operational Oceanographic System (KOOS) has been developed by the leading of Korea Institute of Ocean Science and Technology (KIOST) in Korea and KOOS has been operated in 2012. KOOS is consists of several operational modules of numerical models and real-time observations and produces the basic forecasting variables such as winds, tides, waves, currents, temperature and salinity and so on. In practical application systems include storm surges, oil spills, and search and rescue prediction models. In particular, abnormal high waves (swell-like high-height waves) have occurred in the East coast of Korea peninsula during winter season owing to the local meteorological condition over the East Sea, causing property damages and the loss of human lives. In order to improve wave forecast accuracy even very local wave characteristics, numerical wave modeling system using SWAN is established with data assimilation module using 4D-EnKF and sensitivity test has been conducted. During the typhoon period for the prediction of sever waves and the decision making support system for evacuation of the ships, a high-resolution wave forecasting system has been established and calibrated.

  15. Application of the Haines Index in the fire warning system

    Science.gov (United States)

    Kalin, Lovro; Marija, Mokoric; Tomislav, Kozaric

    2016-04-01

    Croatia, as all Mediterranean countries, is strongly affected by large wildfires, particularly in the coastal region. In the last two decades the number and intensity of fires has been significantly increased, which is unanimously associated with climate change, e.g. global warming. More extreme fires are observed, and the fire-fighting season has been expanded to June and September. The meteorological support for fire protection and planning is therefore even more important. At the Meteorological and Hydrological Service of Croatia a comprehensive monitoring and warning system has been established. It includes standard components, such as short term forecast of Fire Weather Index (FWI), but long range forecast as well. However, due to more frequent hot and dry seasons, FWI index often does not provide additional information of extremely high fire danger, since it regularly takes the highest values for long periods. Therefore the additional tools have been investigated. One of widely used meteorological products is the Haines index (HI). It provides information of potential fire growth, taking into account only the vertical instability of the atmosphere, and not the state of the fuel. Several analyses and studies carried out at the Service confirmed the correlation of high HI values with large and extreme fires. The Haines index forecast has been used at the Service for several years, employing European Centre for Medium Range Weather Forecast (ECMWF) global prediction model, as well as the limited-area Aladin model. The verification results show that these forecast are reliable, when compared to radiosonde measurements. All these results provided the introduction of the additional fire warnings, that are issued by the Service's Forecast Department.

  16. Crowdsourced bi-directional disaster reporting and alerting on smartphones in Lao PDR

    OpenAIRE

    Frommberger, Lutz; Schmid, Falko

    2013-01-01

    Natural disasters are a large threat for people especially in developing countries such as Laos. ICT-based disaster management systems aim at supporting disaster warning and response efforts. However, the ability to directly communicate in both directions between local and administrative level is often not supported, and a tight integration into administrative workflows is missing. In this paper, we present the smartphone-based disaster and reporting system Mobile4D. It allows for bi-directio...

  17. Is More Better? - Night Vision Enhancement System's Pedestrian Warning Modes and Older Drivers.

    Science.gov (United States)

    Brown, Timothy; He, Yefei; Roe, Cheryl; Schnell, Thomas

    2010-01-01

    Pedestrian fatalities as a result of vehicle collisions are much more likely to happen at night than during day time. Poor visibility due to darkness is believed to be one of the causes for the higher vehicle collision rate at night. Existing studies have shown that night vision enhancement systems (NVES) may improve recognition distance, but may increase drivers' workload. The use of automatic warnings (AW) may help minimize workload, improve performance, and increase safety. In this study, we used a driving simulator to examine performance differences of a NVES with six different configurations of warning cues, including: visual, auditory, tactile, auditory and visual, tactile and visual, and no warning. Older drivers between the ages of 65 and 74 participated in the study. An analysis based on the distance to pedestrian threat at the onset of braking response revealed that tactile and auditory warnings performed the best, while visual warnings performed the worst. When tactile or auditory warnings were presented in combination with visual warning, their effectiveness decreased. This result demonstrated that, contrary to general sense regarding warning systems, multi-modal warnings involving visual cues degraded the effectiveness of NVES for older drivers.

  18. Analysis and design of the ultraviolet warning optical system based on interference imaging

    Science.gov (United States)

    Wang, Wen-cong; Hu, Hui-jun; Jin, Dong-dong; Chu, Xin-bo; Shi, Yu-feng; Song, Juan; Liu, Jin-sheng; Xiao, Ting; Shao, Si-pei

    2017-10-01

    Ultraviolet warning technology is one of the important methods for missile warning. It provides a very effective way to detect the target for missile approaching alarm. With the development of modern technology, especially the development of information technology at high speed, the ultraviolet early warning system plays an increasingly important role. Compared to infrared warning, the ultraviolet warning has high efficiency and low false alarm rate. In the modern warfare, how to detect the threats earlier, prevent and reduce the attack of precision-guided missile has become a new challenge of missile warning technology. Because the ultraviolet warning technology has high environmental adaptability, the low false alarm rate, small volume and other advantages, in the military field applications it has been developed rapidly. For the ultraviolet warning system, the optimal working waveband is 250 nm 280 nm (Solar Blind UV) due to the strong absorption of ozone layer. According to current application demands for solar blind ultraviolet detection and warning, this paper proposes ultraviolet warning optical system based on interference imaging, which covers solar blind ultraviolet (250nm-280nm) and dual field. This structure includes a primary optical system, an ultraviolet reflector array, an ultraviolet imaging system and an ultraviolet interference imaging system. It makes use of an ultraviolet beam-splitter to achieve the separation of two optical systems. According to the detector and the corresponding application needs of two visual field of the optical system, the calculation and optical system design were completed. After the design, the MTF of the two optical system is more than 0.8@39lp/mm.A single pixel energy concentration is greater than 80%.

  19. Design and evaluation of warning systems: application to nuclear power plants

    International Nuclear Information System (INIS)

    Pe Benito-Claudio, C.

    1986-01-01

    This study starts by defining and explaining key concepts about warning, both as a process and a system. Thereafter, it presents a quantitative, probabilistic, and decision-oriented methodology for designing and evaluating a warning system. It illustrates the methodology for the case of rare, controllable, and potentially disastrous technological events, such as accidents in nuclear power plants. The methodology covers and links the three principal components of a warning system - signal (which is mainly technical), warning dissemination, and warning response (which are mainly social) - thereby allowing the relative evaluation of technological and social measures for reducing risks. Analytical principles and techniques of risk and decision analyses are applied. It defines a probabilistic performance measure to characterize each component of a warning system, and a value measure to assess the overall effectiveness of the system. An important aspect of this work is the integration, into one analytical model, of the results of engineering studies, such as probabilistic risk assessments of nuclear power plants, and of empirical findings on human response to warning in sociological research. The models, calculations, and sensitivity analyses are done with influence diagrams that are both intuitive and mathematical. This work puts particular emphasis on the study of behavioral response of individuals to warning

  20. Development of ANN Model for Wind Speed Prediction as a Support for Early Warning System

    Directory of Open Access Journals (Sweden)

    Ivan Marović

    2017-01-01

    Full Text Available The impact of natural disasters increases every year with more casualties and damage to property and the environment. Therefore, it is important to prevent consequences by implementation of the early warning system (EWS in order to announce the possibility of the harmful phenomena occurrence. In this paper, focus is placed on the implementation of the EWS on the micro location in order to announce possible harmful phenomena occurrence caused by wind. In order to predict such phenomena (wind speed, an artificial neural network (ANN prediction model is developed. The model is developed on the basis of the input data obtained by local meteorological station on the University of Rijeka campus area in the Republic of Croatia. The prediction model is validated and evaluated by visual and common calculation approaches, after which it was found that it is possible to perform very good wind speed prediction for time steps Δt=1 h, Δt=3 h, and Δt=8 h. The developed model is implemented in the EWS as a decision support for improvement of the existing “procedure plan in a case of the emergency caused by stormy wind or hurricane, snow and occurrence of the ice on the University of Rijeka campus.”

  1. Experiences from site-specific landslide early warning systems

    Science.gov (United States)

    Michoud, C.; Bazin, S.; Blikra, L. H.; Derron, M.-H.; Jaboyedoff, M.

    2013-10-01

    Landslide early warning systems (EWSs) have to be implemented in areas with large risk for populations or infrastructures when classical structural remediation measures cannot be set up. This paper aims to gather experiences of existing landslide EWSs, with a special focus on practical requirements (e.g., alarm threshold values have to take into account the smallest detectable signal levels of deployed sensors before being established) and specific issues when dealing with system implementations. Within the framework of the SafeLand European project, a questionnaire was sent to about one-hundred institutions in charge of landslide management. Finally, we interpreted answers from experts belonging to 14 operational units related to 23 monitored landslides. Although no standard requirements exist for designing and operating EWSs, this review highlights some key elements, such as the importance of pre-investigation work, the redundancy and robustness of monitoring systems, the establishment of different scenarios adapted to gradual increasing of alert levels, and the necessity of confidence and trust between local populations and scientists. Moreover, it also confirms the need to improve our capabilities for failure forecasting, monitoring techniques and integration of water processes into landslide conceptual models.

  2. ShakeAlert—An earthquake early warning system for the United States west coast

    Science.gov (United States)

    Burkett, Erin R.; Given, Douglas D.; Jones, Lucile M.

    2014-08-29

    Earthquake early warning systems use earthquake science and the technology of monitoring systems to alert devices and people when shaking waves generated by an earthquake are expected to arrive at their location. The seconds to minutes of advance warning can allow people and systems to take actions to protect life and property from destructive shaking. The U.S. Geological Survey (USGS), in collaboration with several partners, has been working to develop an early warning system for the United States. ShakeAlert, a system currently under development, is designed to cover the West Coast States of California, Oregon, and Washington.

  3. CISN ShakeAlert Earthquake Early Warning System Monitoring Tools

    Science.gov (United States)

    Henson, I. H.; Allen, R. M.; Neuhauser, D. S.

    2015-12-01

    CISN ShakeAlert is a prototype earthquake early warning system being developed and tested by the California Integrated Seismic Network. The system has recently been expanded to support redundant data processing and communications. It now runs on six machines at three locations with ten Apache ActiveMQ message brokers linking together 18 waveform processors, 12 event association processes and 4 Decision Module alert processes. The system ingests waveform data from about 500 stations and generates many thousands of triggers per day, from which a small portion produce earthquake alerts. We have developed interactive web browser system-monitoring tools that display near real time state-of-health and performance information. This includes station availability, trigger statistics, communication and alert latencies. Connections to regional earthquake catalogs provide a rapid assessment of the Decision Module hypocenter accuracy. Historical performance can be evaluated, including statistics for hypocenter and origin time accuracy and alert time latencies for different time periods, magnitude ranges and geographic regions. For the ElarmS event associator, individual earthquake processing histories can be examined, including details of the transmission and processing latencies associated with individual P-wave triggers. Individual station trigger and latency statistics are available. Detailed information about the ElarmS trigger association process for both alerted events and rejected events is also available. The Google Web Toolkit and Map API have been used to develop interactive web pages that link tabular and geographic information. Statistical analysis is provided by the R-Statistics System linked to a PostgreSQL database.

  4. Drunk driving warning system (DDWS). Volume 1, System concept and description

    Science.gov (United States)

    1983-11-01

    The Drunk Driving Warning System (DDWS) is a vehicle-mounted device for testing driver impairment and activating alarms. The driver must pass a steering competency test in order to drive the car in a normal manner. The emergency flasher system operat...

  5. Disaster healthcare system management and crisis intervention leadership in Thailand--lessons learned from the 2004 Tsunami disaster.

    Science.gov (United States)

    Peltz, Rami; Ashkenazi, Issac; Schwartz, Dagan; Shushan, Ofer; Nakash, Guy; Leiba, Adi; Levi, Yeheskel; Goldberg, Avishay; Bar-Dayan, Yaron

    2006-01-01

    Quarantelli established criteria for evaluating the effectiveness of disaster management. The objectives of this study were to analyze the response of the healthcare system to the Tsunami disaster according to the Quarantelli principles, and to validate these principles in a scenario of a disaster due to natural hazards. The Israeli Defense Forces (IDF) Home Front Command Medical Department sent a research team to study the response of the Thai medical system to the disaster. The analysis of the disaster management was based on Quarantelli's 10 criteria for evaluating the management of community disasters. Data were collected through personal and group interviews. The three most important elements for effective disaster management were: (1) the flow of information; (2) overall coordination; and (3) leadership. Although pre-event preparedness was for different and smaller scenarios, medical teams repeatedly reported a better performance in hospitals that recently conducted drills. In order to increase effectiveness, disaster management response should focus on: (1) the flow of information; (2) overall coordination; and (3) leadership.

  6. Application of Virtual Rain and Stream Gauge Information Service for Improved Flood Early Warning System in Lower Mekong Countries

    Science.gov (United States)

    Basnayake, S. B.; Jayasinghe, S.; Meechaiya, C.; Markert, K. N.; Lee, H.; Towashiraporn, P.; Anderson, E.; Okeowo, M. A.

    2017-12-01

    Asia is the most vulnerable region in the world to hydro-meteorological extreme events, exacerbated by climate variability and change. Impacts of floods have been on the rapid increase in the recent decades. Myanmar is one of the most vulnerable countries in the lower Mekong region due to its socioeconomic situation (eg; Nargis in 2008, monsoon floods in 2015, etc). Early warning is an effective way to prepare for hydro-meteorological hazards, to minimize disaster risks; however, early warning systems in Myanmar are seriously hampered by limited observation networks. The Virtual Rain and Stream Gauge Information Service (VRSGIS) has been developed by SERVIR-Mekong program of Asian Disaster Preparedness Center (ADPC) to address these gaps and to provide dense, satellite-based rainfall and water level data, which are calibrated and validated with available in-situ observations. This service would enhance decision making in lower Mekong countries, including Myanmar, to minimize impacts of impending disasters. This service contains rainfall data from GPM IMERG and GSMap, CMORPH, TRMM, and CHIRPS, and water levels for 15 locations using Jason-2/3 altimetry. The virtual daily rainfall data sets are being calibrated with Gamma distribution method and are made publicly accessible through a user-friendly web interface.This paper presents a case study of satellite-derived rainfall data accessed from VRSGIS for hydrological modeling in Myanmar, to estimate inundation areas in Kalay township area of Chindwin River basin during the country's worst flood in 2015. Twelve out of fourteen States of Myanmar were severely affected, 103 people were killed, and one million were displaced due to heavy rains associated with Komen cyclone. The aforementioned rainfall data products are used as inputs for HEC-HMS hydrological runoff model to calculate river flows along Chindwin River, and HEC-RAS hydraulic model is used to estimate inundation areas in downstream including Kalay township

  7. Development of structural health monitoring and early warning system for reinforced concrete system

    International Nuclear Information System (INIS)

    Iranata, Data; Wahyuni, Endah; Murtiadi, Suryawan; Widodo, Amien; Riksakomara, Edwin; Sani, Nisfu Asrul

    2015-01-01

    Many buildings have been damaged due to earthquakes that occurred recently in Indonesia. The main cause of the damage is the large deformation of the building structural component cannot accommodate properly. Therefore, it is necessary to develop the Structural Health Monitoring System (SHMS) to measure precisely the deformation of the building structural component in the real time conditions. This paper presents the development of SHMS for reinforced concrete structural system. This monitoring system is based on deformation component such as strain of reinforcement bar, concrete strain, and displacement of reinforced concrete component. Since the deformation component has exceeded the limit value, the warning message can be sent to the building occupies. This warning message has also can be performed as early warning system of the reinforced concrete structural system. The warning message can also be sent via Short Message Service (SMS) through the Global System for Mobile Communications (GSM) network. Hence, the SHMS should be integrated with internet modem to connect with GSM network. Additionally, the SHMS program is verified with experimental study of simply supported reinforced concrete beam. Verification results show that the SHMS has good agreement with experimental results

  8. Real-time flood monitoring and warning system

    Directory of Open Access Journals (Sweden)

    Jirapon Sunkpho

    2011-04-01

    Full Text Available Flooding is one of the major disasters occurring in various parts of the world. The system for real-time monitoring ofwater conditions: water level; flow; and precipitation level, was developed to be employed in monitoring flood in Nakhon SiThammarat, a southern province in Thailand. The two main objectives of the developed system is to serve 1 as informationchannel for flooding between the involved authorities and experts to enhance their responsibilities and collaboration and2 as a web based information source for the public, responding to their need for information on water condition and flooding.The developed system is composed of three major components: sensor network, processing/transmission unit, and database/application server. These real-time data of water condition can be monitored remotely by utilizing wireless sensors networkthat utilizes the mobile General Packet Radio Service (GPRS communication in order to transmit measured data to theapplication server. We implemented a so-called VirtualCOM, a middleware that enables application server to communicatewith the remote sensors connected to a GPRS data unit (GDU. With VirtualCOM, a GDU behaves as if it is a cable directlyconnected the remote sensors to the application server. The application server is a web-based system implemented usingPHP and JAVA as the web application and MySQL as its relational database. Users can view real-time water conditionas well as the forecasting of the water condition directly from the web via web browser or via WAP. The developed systemhas demonstrated the applicability of today’s sensors in wirelessly monitor real-time water conditions.

  9. Design and challenges for a tsunami early warning system in the Marmara Sea

    Science.gov (United States)

    Necmioğlu, Öcal

    2016-01-01

    Since 1900, around 90,000 people have lost their lives in 76 earthquakes in Turkey, with a total affected population of around 7 million and direct losses of around 25 billion USD. Based on a time-dependent model that includes coseismic and post-seismic effects of the 1999 Kocaeli earthquake with moment magnitude Mw = 7.4, Parsons (J Geophys Res. 109, 2004) concluded that the probability of an earthquake with Mw > 7 in the Sea of Marmara near Istanbul is 35 to 70 % in the next 30 years. According to a 2011 study, an earthquake with Mw = 7.25 on the Main Marmara Fault is expected to heavily damage or destroy 2 to 4 % of around 1,000,000 buildings in Istanbul with a population around 13 million, with 9 to 15 % of the buildings receiving medium damage and 20 to 34 % of the buildings damaged lightly (Erdik, Science 341:72, 2013). In the absence of adequate post-earthquake assembly areas especially in the heavily urbanized Istanbul, it is evident that after a major earthquake, especially in the coastal parts of the city, citizens would be storming to landfill assembly and recreational areas. Besides earthquakes, around 30 tsunamis have been reported by Altınok et al. (Natural Hazards Earth System Science 11:273-293, 2011) in the Marmara Sea. Among those, catastrophic earthquakes such as 1509, 1766, and 1894 resulted in considerable tsunamis and some damage. The latest tsunami observed in Marmara was due to a triggered submarine landslide of the 1999 Mw = 7.4 Kocaeli earthquake which led to reported run-up heights of 1-3 m in most places (Tinti et al., Marine Geology 225:311-330, 2006). In this study, I propose a design for a tsunami warning system specific for the Marmara region that is strongly coupled with the earthquake early warning system (due to the short arrival times of tsunami) and stakeholders of the tsunami mitigation activities, such as local and regional components of disaster and emergency management and civil protection units, to ensure that the citizens

  10. Evolution of an Early Illness Warning System to Monitor Frail Elders in Independent Living

    Directory of Open Access Journals (Sweden)

    Gregory L. Alexander

    2011-01-01

    Full Text Available This paper describes the evolution of an early illness warning system used by an interdisciplinary team composed of clinicians and engineers in an independent living facility. The early illness warning system consists of algorithms which analyze resident activity patterns obtained from sensors embedded in residents' apartments. The engineers designed an automated reasoning system to generate clinically relevant alerts which are sent to clinicians when significant changes occur in the sensor data, for example declining activity levels. During January 2010 through July 2010, clinicians and engineers conducted weekly iterative review cycles of the early illness warning system to discuss concerns about the functionality of the warning system, to recommend solutions for the concerns, and to evaluate the implementation of the solutions. A total of 45 concerns were reviewed during this period. Iterative reviews resulted in greater efficiencies and satisfaction for clinician users who were monitoring elder activity patterns.

  11. Information systems in a changing climate: Early warnings and drought risk management

    Directory of Open Access Journals (Sweden)

    Roger S. Pulwarty

    2014-06-01

    Full Text Available Drought is among the most damaging, and least understood, of all “natural” hazards. Although some droughts last a single season and affect only small areas, the instrumental and paleoclimate records show that droughts have sometimes continued for decades and have impacted millions of square kilometers in North America, West Africa, and East Asia. To cross the spectrum of potential drivers and impacts, drought information systems have multiple sub-systems which include an integrated risk assessment, communication and decision support system of which early warning is a central component and output. An early warning system is much more than a forecast – it is a linked risk information (including people׳s perception of risk and communication system that actively engages communities involved in preparedness. There are numerous drought systems warning systems being implemented at different scales of governance. We draw on the lessons of over 21 drought early warning systems around the world, in both developing and developed countries and at regional, national and community levels. The successes illustrate that effective early warning depends upon a multi-sectoral and interdisciplinary collaboration among all concerned actors at each stage in the warning process from monitoring to response and evaluation. However, the links between the community-based approach and the national and global EWSs are relatively weak. Using the rich experience of information systems across the globe, this paper identifies pathways for knowledge management and action at the relevant scales for decision-making in response to a changing climate.

  12. Development of Hydrometeorological Monitoring and Forecasting as AN Essential Component of the Early Flood Warning System:

    Science.gov (United States)

    Manukalo, V.

    2012-12-01

    Defining issue The river inundations are the most common and destructive natural hazards in Ukraine. Among non-structural flood management and protection measures a creation of the Early Flood Warning System is extremely important to be able to timely recognize dangerous situations in the flood-prone areas. Hydrometeorological information and forecasts are a core importance in this system. The primary factors affecting reliability and a lead - time of forecasts include: accuracy, speed and reliability with which real - time data are collected. The existing individual conception of monitoring and forecasting resulted in a need in reconsideration of the concept of integrated monitoring and forecasting approach - from "sensors to database and forecasters". Result presentation The Project: "Development of Flood Monitoring and Forecasting in the Ukrainian part of the Dniester River Basin" is presented. The project is developed by the Ukrainian Hydrometeorological Service in a conjunction with the Water Management Agency and the Energy Company "Ukrhydroenergo". The implementation of the Project is funded by the Ukrainian Government and the World Bank. The author is nominated as the responsible person for coordination of activity of organizations involved in the Project. The term of the Project implementation: 2012 - 2014. The principal objectives of the Project are: a) designing integrated automatic hydrometeorological measurement network (including using remote sensing technologies); b) hydrometeorological GIS database construction and coupling with electronic maps for flood risk assessment; c) interface-construction classic numerical database -GIS and with satellite images, and radar data collection; d) providing the real-time data dissemination from observation points to forecasting centers; e) developing hydrometeoroogical forecasting methods; f) providing a flood hazards risk assessment for different temporal and spatial scales; g) providing a dissemination of

  13. Research on Vegetable Pest Warning System Based on Multidimensional Big Data

    Directory of Open Access Journals (Sweden)

    Changzhen Zhang

    2018-06-01

    Full Text Available Pest early warning technology is part of the prerequisite for the timely and effective control of pest outbreaks. Traditional pest warning system with artificial mathematical statistics, radar, and remote sensing has some deficiency in many aspects, such as higher cost, weakness of accuracy, low efficiency, and so on. In this study, Pest image data was collected and information about four major vegetable pests (Bemisia tabaci (Gennadius, Phyllotreta striolata (Fabricius, Plutella xylostella (Linnaeus, and Frankliniella occidentalis (Pergande (Thysanoptera, Thripidae in southern China was extracted. A multi-sensor network system was constructed to collect small-scale environmental data on vegetable production sites. The key factors affecting the distribution of pests were discovered by multi-dimensional information, such as soil, environment, eco-climate, and meteorology of vegetable fields, and finally, the vegetable pest warning system that is based on multidimensional big data (VPWS-MBD was implemented. Pest and environmental data from Guangzhou Dongsheng Bio-Park were collected from June 2017 to February 2018. The number of pests is classified as level I (0–56, level II (57–131, level III (132–299, and level IV (above 300 by K-Means algorithm. The Pearson correlation coefficient and the grey relational analysis algorithm were used to calculate the five key influence factors of rainfall, soil temperature, air temperature, leaf surface humidity, and soil moisture. Finally, Back Propagation (BP Neural Network was used for classification prediction. The result shows: I-level warning accuracy was 96.14%, recall rate was 97.56%; II-level pest warning accuracy was 95.34%, the recall rate was 96.45%; III-level pest warning accuracy of 100%, the recall rate was 96.28%; IV-level pest warning accuracy of 100%, recall rate was 100%. It proves that the early warning system can effectively predict vegetable pests and achieve the early warning of

  14. Risk-Based Evaluation of Flood Warning and Preparedness Systems. Volume 2 - Technical

    National Research Council Canada - National Science Library

    Haimes, Yacov Y

    1996-01-01

    ... for both structural and nonstructural measures. The unifing theme of these results is that the design and evaluation of structural and nonstructural measures for flood mitigation, including flood warning and preparedness systems, is an integrative...

  15. A Method to Increase Drivers' Trust in Collision Warning Systems Based on Reliability Information of Sensor

    Science.gov (United States)

    Tsutsumi, Shigeyoshi; Wada, Takahiro; Akita, Tokihiko; Doi, Shun'ichi

    Driver's workload tends to be increased during driving under complicated traffic environments like a lane change. In such cases, rear collision warning is effective for reduction of cognitive workload. On the other hand, it is pointed out that false alarm or missing alarm caused by sensor errors leads to decrease of driver' s trust in the warning system and it can result in low efficiency of the system. Suppose that reliability information of the sensor is provided in real-time. In this paper, we propose a new warning method to increase driver' s trust in the system even with low sensor reliability utilizing the sensor reliability information. The effectiveness of the warning methods is shown by driving simulator experiments.

  16. Urban Systems during Disasters: Factors for Resilience

    Directory of Open Access Journals (Sweden)

    Deborah Wallace

    2008-06-01

    Full Text Available Urban neighborhoods form the basic functional unit of municipalities. Socioeconomically, they consist of social networks and interlocking layers of social networks. Old, stable neighborhoods are blessed with large social networks and dense interlocking layers. Both social control and social support depend on these complex structures of tight and loose ties. Public health and public order depend on these structures. They are the basis of resilience of both the neighborhood itself and of the municipality that is composed of neighborhoods. In New York City in the 1970s and later, domain shift occurred because of the disruption of the socioeconomic structure by the massive destruction of low-rental housing. A combined epidemic of building fires and landlord abandonment of buildings leveled a huge percentage of housing in poor neighborhoods and forced mass migration between neighborhoods. Social relationships that had existed between families and individuals for decades were destroyed. Community efficacy also greatly diminished. Drug use, violent crime, tuberculosis, and low-weight births were among the many public health and public order problems that soared in incidence consequent to the unraveling of the communities. These problems spilled out into the metropolitan region of dependent suburban counties. The ability of a municipality and its dependent suburban counties to weather a disaster such as an avian flu pandemic depends on the size of social networks in its neighborhoods and on the interconnection between the social networks. Diversity such as gained by social and economic integration influences the strength of the loose ties between social networks. Poor neighborhoods with extreme resilience conferred by a dense fabric of social networks must also maintain connections with mainstream political structure or they will fail to react to both good and bad impacts and communications.

  17. Implementation of a Seismic Early Warning System in Portugal Mainland

    Science.gov (United States)

    Madureira, Guilherme; Carrilho, Fernando

    2017-04-01

    Portugal mainland is located near the border between the Eurasian and Nubian plates, whose interaction is the main responsible for a significant seismic activity in the area, with historical occurrence of several catastrophic events (e.g. Lisbon 1755 earthquake [Mag 8.7]), most of which haviguilhng epicenter rise in submerged area, located in the Cadiz Gulf and Southwest of San Vincent Cape. Early Warning Systems (EEWS) is presently a very effective concept to be applied in the mitigation of the effects caused by large earthquakes. For the mentioned area a feasibility study of a EEWS was made in the ALERT-ES project. It was found that the system could be effective to protect cities and infrastructures located at larger distances (ex: Lisbon) from the areas, located south and southwest of PT mainland, where the larger earthquakes are expected to be originated. Considering the use of a new strong-motion network recently implemented in the south of PT mainland, we concluded that the lead-times could be improved. We opted by the implementation of the well known computational platform PRESTO. In the adaptation of the mentioned platform to the local reality one of the challenges was the computation of fast moment magnitude estimates, because regional attenuation must be properly considered, and a specific study was made on this issue. The several simulations that were performed showed a reasonably good performance of the system, both on magnitude evaluation and epicentre location. However we also noted that the problems in the acquisition instruments are a very important source of disturbance in the performance of the EEWS, pointing to a need of a very accurate quality control of the strong-motion network. Considering end-users, we are also developing specific software for intensity estimation at the target places and to trigger visual and audio alerts in accordance to the expected level of shaking. This work is supported by the EU project TSUMAPS-NEAM, Agreement Number

  18. The Rapid Disaster Evaluation System (RaDES): A Plan to Improve Global Disaster Response by Privatizing the Assessment Component.

    Science.gov (United States)

    Iserson, Kenneth V

    2017-09-01

    Emergency medicine personnel frequently respond to major disasters. They expect to have an effective and efficient management system to elegantly allocate available resources. Despite claims to the contrary, experience demonstrates this rarely occurs. This article describes privatizing disaster assessment using a single-purposed, accountable, and well-trained organization. The goal is to achieve elegant disaster assessment, rather than repeatedly exhorting existing groups to do it. The Rapid Disaster Evaluation System (RaDES) would quickly and efficiently assess a postdisaster population's needs. It would use an accountable nongovernmental agency's teams with maximal training, mobility, and flexibility. Designed to augment the Inter-Agency Standing Committee's 2015 Emergency Response Preparedness Plan, RaDES would provide the initial information needed to avoid haphazard and overlapping disaster responses. Rapidly deployed teams would gather information from multiple sources and continually communicate those findings to their base, which would then disseminate them to disaster coordinators in a concise, coherent, and transparent way. The RaDES concept represents an elegant, minimally bureaucratic, and effective rapid response to major disasters. However, its implementation faces logistical, funding, and political obstacles. Developing and maintaining RaDES would require significant funding and political commitment to coordinate the numerous agencies that claim to be performing the same tasks. Although simulations can demonstrate efficacy and deficiencies, only field tests will demonstrate RaDES' power to improve interagency coordination and decrease the cost of major disaster response. At the least, the RaDES concept should serve as a model for discussing how to practicably improve our current chaotic disaster responses. Copyright © 2016 Elsevier Inc. All rights reserved.

  19. Can an earthquake prediction and warning system be developed?

    Science.gov (United States)

    N.N, Ambraseys

    1990-01-01

    Natural disasters affect countries large and small, rich, or poor, whatever their political persuasion. The toll exacted by natural calamities each year drains the human and economic resources of every nation and stands as one of the formidable barriers to national, regional, and world development.

  20. Systemic banking crisis early warning systems using dynamic bayesian networks

    CSIR Research Space (South Africa)

    Dabrowski, JJ

    2016-11-01

    Full Text Available discrete switching state variable st, a latent continuous variable ht and an observable continuous variable vt. The graphical model of the SLDS is illustrated in Figure 2. The latent and observable variables form a linear dy- namic system (LDS). The LDS... is a state space model (Barber, 2012). The SLDS is modelled according to the following state space equations ht = A(st)ht−1 + ηht (st), (7.1) vt = B(st)ht + ηvt (st). (7.2) The matrix A(st) is referred to as the state transition matrix or the system...

  1. Meteotsunamis, destructive tsunami-like waves: from observations and simulations towards a warning system (MESSI)

    Science.gov (United States)

    Sepic, Jadranka; Vilibic, Ivica

    2016-04-01

    Atmospherically-generated tsunami-like waves, also known as meteotsunamis, pose a severe threat for exposed coastlines. Although not as destructive as ordinary tsunamis, several meters high meteotsunami waves can bring destruction, cause loss of human lives and raise panic. For that reason, MESSI, an integrative meteotsunami research & warning project, has been developed and will be presented herein. The project has a threefold base: (1) research of atmosphere-ocean interaction with focus on (i) source processes in the atmosphere, (ii) energy transfer to the ocean and (iii) along-propagation growth of meteotsunami waves; (2) estimation of meteotsunami occurrence rates in past, present and future climate, and mapping of meteotsunami hazard; (3) construction of a meteotsunami warning system prototype, with the latter being the main objective of the project. Due to a great frequency of meteotsunamis and its complex bathymetry which varies from the shallow shelf in the north towards deep pits in the south, with a number of funnel-shaped bays and harbours substantially amplifying incoming tsunami-like waves, the Adriatic, northernmost of the Mediterranean seas, has been chosen as an ideal area for realization of the MESSI project and implementation of the warning system. This warning system will however be designed to allow for a wider applicability and easy-to-accomplish transfer to other endangered locations. The architecture of the warning system will integrate several components: (1) real-time measurements of key oceanographic and atmospheric parameters, (2) coupled atmospheric-ocean models run in real time (warning) mode, and (3) semi-automatic procedures and protocols for warning of civil protection, local authorities and public. The effectiveness of the warning system will be tested over the historic events.

  2. Experiences integrating autonomous components and legacy systems into tsunami early warning systems

    Science.gov (United States)

    Reißland, S.; Herrnkind, S.; Guenther, M.; Babeyko, A.; Comoglu, M.; Hammitzsch, M.

    2012-04-01

    Fostered by and embedded in the general development of Information and Communication Technology (ICT) the evolution of Tsunami Early Warning Systems (TEWS) shows a significant development from seismic-centred to multi-sensor system architectures using additional sensors, e.g. sea level stations for the detection of tsunami waves and GPS stations for the detection of ground displacements. Furthermore, the design and implementation of a robust and scalable service infrastructure supporting the integration and utilisation of existing resources serving near real-time data not only includes sensors but also other components and systems offering services such as the delivery of feasible simulations used for forecasting in an imminent tsunami threat. In the context of the development of the German Indonesian Tsunami Early Warning System (GITEWS) and the project Distant Early Warning System (DEWS) a service platform for both sensor integration and warning dissemination has been newly developed and demonstrated. In particular, standards of the Open Geospatial Consortium (OGC) and the Organization for the Advancement of Structured Information Standards (OASIS) have been successfully incorporated. In the project Collaborative, Complex, and Critical Decision-Support in Evolving Crises (TRIDEC) new developments are used to extend the existing platform to realise a component-based technology framework for building distributed TEWS. This talk will describe experiences made in GITEWS, DEWS and TRIDEC while integrating legacy stand-alone systems and newly developed special-purpose software components into TEWS using different software adapters and communication strategies to make the systems work together in a corporate infrastructure. The talk will also cover task management and data conversion between the different systems. Practical approaches and software solutions for the integration of sensors, e.g. providing seismic and sea level data, and utilisation of special

  3. An Experimental Seismic Data and Parameter Exchange System for Tsunami Warning Systems

    Science.gov (United States)

    Hoffmann, T. L.; Hanka, W.; Saul, J.; Weber, B.; Becker, J.; Heinloo, A.; Hoffmann, M.

    2009-12-01

    For several years GFZ Potsdam is operating a global earthquake monitoring system. Since the beginning of 2008, this system is also used as an experimental seismic background data center for two different regional Tsunami Warning Systems (TWS), the IOTWS (Indian Ocean) and the interim NEAMTWS (NE Atlantic and Mediterranean). The SeisComP3 (SC3) software, developed within the GITEWS (German Indian Ocean Tsunami Early Warning System) project, capable to acquire, archive and process real-time data feeds, was extended for export and import of individual processing results within the two clusters of connected SC3 systems. Therefore not only real-time waveform data are routed to the attached warning centers through GFZ but also processing results. While the current experimental NEAMTWS cluster consists of SC3 systems in six designated national warning centers in Europe, the IOTWS cluster presently includes seven centers, with another three likely to join in 2009/10. For NEAMTWS purposes, the GFZ virtual real-time seismic network (GEOFON Extended Virtual Network -GEVN) in Europe was substantially extended by adding many stations from Western European countries optimizing the station distribution. In parallel to the data collection over the Internet, a GFZ VSAT hub for secured data collection of the EuroMED GEOFON and NEAMTWS backbone network stations became operational and first data links were established through this backbone. For the Southeast Asia region, a VSAT hub has been established in Jakarta already in 2006, with some other partner networks connecting to this backbone via the Internet. Since its establishment, the experimental system has had the opportunity to prove its performance in a number of relevant earthquakes. Reliable solutions derived from a minimum of 25 stations were very promising in terms of speed. For important events, automatic alerts were released and disseminated by emails and SMS. Manually verified solutions are added as soon as they become

  4. Summary of the stakeholders workshop to develop a National Volcano Early Warning System (NVEWS)

    Science.gov (United States)

    Guffanti, Marianne; Scott, William E.; Driedger, Carolyn L.; Ewert, John W.

    2006-01-01

    The importance of investing in monitoring, mitigation, and preparedness before natural hazards occur has been amply demonstrated by recent disasters such as the Indian Ocean Tsunami in December 2004 and Hurricane Katrina in August 2005. Playing catch-up with hazardous natural phenomena such as these limits our ability to work with public officials and the public to lessen adverse impacts. With respect to volcanic activity, the starting point of effective pre-event mitigation is monitoring capability sufficient to detect and diagnose precursory unrest so that communities at risk have reliable information and sufficient time to respond to hazards with which they may be confronted. Recognizing that many potentially dangerous U.S. volcanoes have inadequate or no ground-based monitoring, the U.S Geological Survey (USGS) Volcano Hazards Program (VHP) and partners recently evaluated U.S. volcano-monitoring capabilities and published 'An Assessment of Volcanic Threat and Monitoring Capabilities in the United States: Framework for a National Volcano Early Warning System (NVEWS).' Results of the NVEWS volcanic threat and monitoring assessment are being used to guide long-term improvements to the national volcano-monitoring infrastructure operated by the USGS and affiliated groups. The NVEWS report identified the need to convene a workshop of a broad group of stakeholders--such as representatives of emergency- and land-management agencies at the Federal, State, and local levels and the aviation sector--to solicit input about implementation of NVEWS and their specific information requirements. Accordingly, an NVEWS Stakeholders Workshop was held in Portland, Oregon, on 22-23 February 2006. A summary of the workshop is presented in this document.

  5. Research on an IP disaster recovery storage system

    Science.gov (United States)

    Zeng, Dong; Wang, Yusheng; Zhu, Jianfeng

    2008-12-01

    According to both the Fibre Channel (FC) Storage Area Network (SAN) switch and Fabric Application Interface Standard (FAIS) mechanism, an iSCSI storage controller is put forward and based upon it, an internet Small Computer System Interface (iSCSI) SAN construction strategy for disaster recovery (DR) is proposed and some multiple sites replication models and a closed queue performance analysis method are also discussed in this paper. The iSCSI storage controller lies in the fabric level of the networked storage infrastructure, and it can be used to connect to both the hybrid storage applications and storage subsystems, besides, it can provide virtualized storage environment and support logical volume access control, and by cooperating with the remote peerparts, a disaster recovery storage system can be built on the basis of the data replication, block-level snapshot and Internet Protocol (IP) take-over functions.

  6. Joint System of the National Hydrometeorology for disaster prevention

    Science.gov (United States)

    Lim, J.; Cho, K.; Lee, Y. S.; Jung, H. S.; Yoo, H. D.; Ryu, D.; Kwon, J.

    2014-12-01

    Hydrological disaster relief expenditure accounts for as much as 70 percent of total expenditure of disasters occurring in Korea. Since the response to and recovery of disasters are normally based on previous experiences, there have been limitations when dealing with ever-increasing localized heavy rainfall with short range in the era of climate change. Therefore, it became necessary to establish a system that can respond to a disaster in advance through the analysis and prediction of hydrometeorological information. Because a wide range of big data is essential, it cannot be done by a single agency only. That is why the three hydrometeorology-related agencies cooperated to establish a pilot (trial) system at Soemjingang basin in 2013. The three governmental agencies include the National Emergency Management Agency (NEMA) in charge of disaster prevention and public safety, the National Geographic Information Institute (NGII under Ministry of Land, Infrastructure and Transport) in charge of geographical data, and the Korea Meteorological Administration (KMA) in charge of weather information. This pilot system was designed to be able to respond to disasters in advance through providing a damage prediction information for flash flood to public officers for safety part using high resolution precipitation prediction data provided by the KMA and high precision geographic data by NGII. To produce precipitation prediction data with high resolution, the KMA conducted downscaling from 25km×25km global model to 3km×3km local model and is running the local model twice a day. To maximize the utility of weather prediction information, the KMA is providing the prediction information for 7 days with 1 hour interval at Soemjingang basin to monitor and predict not only flood but also drought. As no prediction is complete without a description of its uncertainty, it is planned to continuously develop the skills to improve the uncertainty of the prediction on weather and its impact

  7. Radar-based Flood Warning System for Houston, Texas and Its Performance Evaluation

    Science.gov (United States)

    Fang, N.; Bedient, P.

    2009-12-01

    Houston has a long history of flooding problems as a serious nature. For instance, Houstonians suffered from severe flood inundation during Tropical Storm Allison in 2001 and Hurricane Ike in 2008. Radar-based flood warning systems as non-structural tools to provide accurate and timely warnings to the public and private entities are greatly needed for urban areas prone to flash floods. Fortunately, the advent of GIS, radar-based rainfall estimation using NEXRAD, and real-time delivery systems on the internet have allowed flood alert systems to provide important advanced warning of impending flood conditions. Thus, emergency personnel can take proper steps to mitigate against catastrophic losses. The Rice and Texas Medical Center (TMC) Flood Alert System (FAS2) has been delivering warning information with 2 to 3 hours of lead time to facility personnel in a readily understood format for more than 40 events since 1997. The system performed well during these major rainfall events with R square value of 93%. The current system has been improved by incorporating a new hydraulic prediction tool - FloodPlain Map Library (FPML). The FPML module aims to provide visualized information such as floodplain maps and water surface elevations instead of just showing hydrographs in real time based on NEXRAD radar rainfall data. During Hurricane Ike (September, 2008), FAS2 successfully provided precise and timely flood warning information to TMC with the peak flow difference of 3.6% and the volume difference of 5.6%; timing was excellent for this double-peaked event. With the funding from the Texas Department of Transportation, a similar flood warning system has been developed at a critical transportation pass along Highway 288 in Houston, Texas. In order to enable emergency personnel to begin flood preparation with as much lead time as possible, FAS2 is being used as a prototype to develop warning system for other flood-prone areas such as City of Sugar Land.

  8. Role of MODIS Vegetation Phenology Products in the U.S. for Warn Early Warning System for Forest Threats

    Science.gov (United States)

    Spruce, Joseph; Hargrove, William; Norman, Steve; Gasser, Gerald; Smoot, James; Kuper, Philip

    2012-01-01

    U.S. forests occupy approx 751 million acres (approx 1/3 of total land). Several abiotic and biotic damage agents disturb, damage, kill, and/or threaten these forests. Regionally extensive forest disturbances can also threaten human life and property, bio-diversity and water supplies. timely regional forest disturbance monitoring products are needed to aid forest health management work at finer scales. daily MODIS data provide a means to monitor regional forest disturbances on a weekly basis, leveraging vegetation phenology. In response, the USFS and NASA began collaborating in 2006 to develop a Near Real Time (NRT) forest monitoring capability, based on MODIS NDVI data, as part of a national forest threat Early Warning System (EWS).

  9. Comprehensive analysis of information dissemination in disasters

    Science.gov (United States)

    Zhang, N.; Huang, H.; Su, Boni

    2016-11-01

    China is a country that experiences a large number of disasters. The number of deaths caused by large-scale disasters and accidents in past 10 years is around 900,000. More than 92.8 percent of these deaths could be avoided if there were an effective pre-warning system deployed. Knowledge of the information dissemination characteristics of different information media taking into consideration governmental assistance (information published by a government) in disasters in urban areas, plays a critical role in increasing response time and reducing the number of deaths and economic losses. In this paper we have developed a comprehensive information dissemination model to optimize efficiency of pre-warning mechanics. This model also can be used for disseminating information for evacuees making real-time evacuation plans. We analyzed every single information dissemination models for pre-warning in disasters by considering 14 media: short message service (SMS), phone, television, radio, news portals, Wechat, microblogs, email, newspapers, loudspeaker vehicles, loudspeakers, oral communication, and passive information acquisition via visual and auditory senses. Since governmental assistance is very useful in a disaster, we calculated the sensitivity of governmental assistance ratio. The results provide useful references for information dissemination during disasters in urban areas.

  10. Practical Application of Site-Specific Earthquake Early Warning (EEW) System

    International Nuclear Information System (INIS)

    Kanda, Katsuhisa

    2014-01-01

    The development of an on-site warning system was reported. This system improves the timing of warnings and reduces the number of false alarms by improving the method of estimating the JMA seismic intensity using earthquake early warning system information based on site-specific data. Moreover, the development of an application for practical use in a construction company and an integrated system for realizing system shutdown was also reported. The concept of this system is based on the following. Seismic intensity is not distributed concentrically, and the attenuation relationship cannot explain the distribution of seismic intensity precisely. The standard method of seismic intensity prediction is construed as 'attenuation relationship + soil amplification factor', but this may be improved in the reformulation 'original attenuation relationship for each site + correction factors dependent on the epicenter location and depth' using a seismic intensity database that includes data on recent and historical earthquakes. (authors)

  11. Monitoring of Engineering Buildings Behaviour Within the Disaster Management System

    Science.gov (United States)

    Oku Topal, G.; Gülal, E.

    2017-11-01

    The Disaster management aims to prevent events that result in disaster or to reduce their losses. Monitoring of engineering buildings, identification of unusual movements and taking the necessary precautions are very crucial for determination of the disaster risk so possible prevention could be taken to reduce big loss. Improving technology, increasing population due to increased construction and these areas largest economy lead to offer damage detection strategies. Structural Health Monitoring (SHM) is the most effective of these strategies. SHM research is very important to maintain all this structuring safely. The purpose of structural monitoring is determining in advance of possible accidents and taking necessary precaution. In this paper, determining the behaviour of construction using Global Positioning System (GPS) is investigated. For this purpose shaking table tests were performed. Shaking table was moved at different amplitude and frequency aiming to determine these movement with a GPS measuring system. The obtained data were evaluated by analysis of time series and Fast Fourier Transformation techniques and the frequency and amplitude values are calculated. By examining the results of the tests made, it will be determined whether the GPS measurement method can accurately detect the movements of the engineering structures.

  12. Web-based Tsunami Early Warning System with instant Tsunami Propagation Calculations in the GPU Cloud

    Science.gov (United States)

    Hammitzsch, M.; Spazier, J.; Reißland, S.

    2014-12-01

    Usually, tsunami early warning and mitigation systems (TWS or TEWS) are based on several software components deployed in a client-server based infrastructure. The vast majority of systems importantly include desktop-based clients with a graphical user interface (GUI) for the operators in early warning centers. However, in times of cloud computing and ubiquitous computing the use of concepts and paradigms, introduced by continuously evolving approaches in information and communications technology (ICT), have to be considered even for early warning systems (EWS). Based on the experiences and the knowledge gained in three research projects - 'German Indonesian Tsunami Early Warning System' (GITEWS), 'Distant Early Warning System' (DEWS), and 'Collaborative, Complex, and Critical Decision-Support in Evolving Crises' (TRIDEC) - new technologies are exploited to implement a cloud-based and web-based prototype to open up new prospects for EWS. This prototype, named 'TRIDEC Cloud', merges several complementary external and in-house cloud-based services into one platform for automated background computation with graphics processing units (GPU), for web-mapping of hazard specific geospatial data, and for serving relevant functionality to handle, share, and communicate threat specific information in a collaborative and distributed environment. The prototype in its current version addresses tsunami early warning and mitigation. The integration of GPU accelerated tsunami simulation computations have been an integral part of this prototype to foster early warning with on-demand tsunami predictions based on actual source parameters. However, the platform is meant for researchers around the world to make use of the cloud-based GPU computation to analyze other types of geohazards and natural hazards and react upon the computed situation picture with a web-based GUI in a web browser at remote sites. The current website is an early alpha version for demonstration purposes to give the

  13. Natural disasters and the gas pipeline system.

    Science.gov (United States)

    1996-11-01

    Episodic descriptions are provided of the effects of the Loma Prieta earthquake (1989) on the gas pipeline systems of Pacific Gas & Electric Company and the Cit of Palo Alto and of the Northridge earthquake (1994) on Southern California Gas' pipeline...

  14. Landslide early warning system prototype with GIS analysis indicates by soil movement and rainfall

    Science.gov (United States)

    Artha, Y.; Julian, E. S.

    2018-01-01

    The aim of this paper is developing and testing of landslide early warning system. The early warning system uses accelerometersas ground movement and tilt-sensing device and a water flow sensor. A microcentroller is used to process the input signal and activate the alarm. An LCD is used to display the acceleration in x,y and z axis. When the soil moved or shifted and rainfall reached 100 mm/day, the alarm rang and signal were sentto the monitoring center via a telemetry system.Data logging information and GIS spatial data can be monitored remotely as tables and graphics as well as in the form of geographical map with the help of web-GIS interface. The system were tested at Kampung Gerendong, Desa Putat Nutug, Kecamatan Ciseeng, Kabupaten Bogor. This area has 3.15 cumulative score, which mean vulnerable to landslide. The results show that the early warning system worked as planned.

  15. Industrial disasters - the expert systems solution

    International Nuclear Information System (INIS)

    Sachs, P.

    1986-01-01

    Six mistakes by the operators led to the accident at the Cherobyl nuclear reactor. These have been studied. It is suggested that an expert systems approach could prevent similar accidents. The expert system is a new approach to software programming where programs are required to perform intelligent analyses of complex situations. It separates the knowledge of a problem from the procedural code that performs the decision. An expert system will evaluate data and indicate a priority on alarms in real time. Now software systems can detect the cause of a problem in a process plant and present their findings to the operators in the control room. This should enable operators to make the correct decisions as they will know which underlying process faults are causing the alarms to operate. The Chernobyl post-mortem meeting made 13 proposals for improving safety. Two in particular are noted as relevant to expert advice systems; international collaboration on man-reactor relationships and a conference to explore the balance of automation and human action to minimise operating errors. (U.K.)

  16. A data management system to enable urgent natural disaster computing

    Science.gov (United States)

    Leong, Siew Hoon; Kranzlmüller, Dieter; Frank, Anton

    2014-05-01

    Civil protection, in particular natural disaster management, is very important to most nations and civilians in the world. When disasters like flash floods, earthquakes and tsunamis are expected or have taken place, it is of utmost importance to make timely decisions for managing the affected areas and reduce casualties. Computer simulations can generate information and provide predictions to facilitate this decision making process. Getting the data to the required resources is a critical requirement to enable the timely computation of the predictions. An urgent data management system to support natural disaster computing is thus necessary to effectively carry out data activities within a stipulated deadline. Since the trigger of a natural disaster is usually unpredictable, it is not always possible to prepare required resources well in advance. As such, an urgent data management system for natural disaster computing has to be able to work with any type of resources. Additional requirements include the need to manage deadlines and huge volume of data, fault tolerance, reliable, flexibility to changes, ease of usage, etc. The proposed data management platform includes a service manager to provide a uniform and extensible interface for the supported data protocols, a configuration manager to check and retrieve configurations of available resources, a scheduler manager to ensure that the deadlines can be met, a fault tolerance manager to increase the reliability of the platform and a data manager to initiate and perform the data activities. These managers will enable the selection of the most appropriate resource, transfer protocol, etc. such that the hard deadline of an urgent computation can be met for a particular urgent activity, e.g. data staging or computation. We associated 2 types of deadlines [2] with an urgent computing system. Soft-hard deadline: Missing a soft-firm deadline will render the computation less useful resulting in a cost that can have severe

  17. EARLY WARNING SYSTEM DAN PERTUMBUHAN PENDAPATAN KONTRIBUSI PADA PERUSAHAAN ASURANSI JIWA SYARIAH DI INDONESIA

    Directory of Open Access Journals (Sweden)

    Maria Oktaviani

    2017-03-01

    Full Text Available The background of this study was the lack of awareness Indonesian society toward syariah life insurance andit needed to be investigated whether there was a problem on its financial instruments by using Early WarningSystem ratio. The purpose of this study was to prove the influence of Early Warning System ratio for contributionrevenue growth syariah life insurance companies in Indonesia period 2010-2013. The sampling techniqueused was purposive sampling. Samples that acquired the criteria were 10 companies. Data were analyzedusing multiple linear regression. The ratio of the Early Warning System consisted of 6 solvencies: solvencymargin ratio, change in surplus ratio, return on investment ratio, liquidity ratio, agent’s balance to surplusratio and technical ratio. The result of this study was Early Warning System ratio influenced simultaneouslyon contribution revenue growth ratio and partial contribution of technical ratio influenced positively tocontribution revenue growth ratio. So, Early Warning System ratio could be applied in order to increasecontribution revenue growth of life insurance syariah units companies.

  18. Technology, conflict early warning systems, public health, and human rights.

    Science.gov (United States)

    Pham, Phuong N; Vinck, Patrick

    2012-12-15

    Public health and conflict early warning are evolving rapidly in response to technology changes for the gathering, management, analysis and communication of data. It is expected that these changes will provide an unprecedented ability to monitor, detect, and respond to crises. One of the potentially most profound and lasting expected change affects the roles of the various actors in providing and sharing information and in responding to early warning. Communities and civil society actors have the opportunity to be empowered as a source of information, analysis, and response, while the role of traditional actors shifts toward supporting those communities and building resilience. However, by creating new roles, relationships, and responsibilities, technology changes raise major concerns and ethical challenges for practitioners, pressing the need for practical guidelines and actionable recommendations in line with existing ethical principles. Copyright © 2012 Pham and Vinck. This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited.

  19. Flood Early Warning in Bridge Management System: from idea to implementation

    Science.gov (United States)

    Kerin, Igor; Bekić, Damir; Michalis, Panagiotis; Šolman, Hrvoje; Cahill, Paul; Gilja, Gordon; Pakrashi, Vikram; Lapthorne, John; McKeogh, Eamon

    2017-04-01

    Recent advances in computational speed, cloud systems and GPRS data are some of the factors that have resulted in an increased number of operational and fully automatized Flood Early Warning Systems (FEWS). Flood forecasting is becoming a well-recognised solution for flood management as an indirect measure for minimising the risk should preventive or defence measures prove ineffective or are not feasible for implementation. Public acceptance of FEWS as a standalone solution is still considered to be at low level. Further public engagement regarding engineering risks and providing timely notifications and warnings can, however, establish the true value of such a system to the society in general. Flood risks can be direct, resulting in damage to buildings, infrastructure and natural resources, or indirect, which can be related to disaster losses leading to declines in commercial output or revenue and impact on wellbeing of people, typically from disruptions to the flow of goods and services. Flood risk and structural risks are closely related, thereby impacting the maintenance and management of bridges assets over watercourses. Many studies indicate that most bridge collapses are related to hydraulic effects and consequently scour issues (i.e. the removal of riverbed around bridge foundations due to flowing water). Consequently, hydraulic, hydrologic and geotechnical expertise and knowledge can lead to introducing FEWS as a key tool for Bridge Scour Management System (BSMS), forming a part of a BMS. The implementation of this concept was initiated with the EU/FP7 funded project BRIDGE SMS. The project introduces BSMS into the overall BMS to develop a reliable decision support tool which would efficiently manage bridge failure risks in a cost-effective way. This is accomplished through the development of FEWS, alongside monitoring systems that can provide important information about environmental and structural conditions at the catchment area and bridge site

  20. Emergency warning for people with disabilities.

    Science.gov (United States)

    Putkovich, Kenneth

    2013-01-01

    The intent of this article is to assess the current state of Emergency Warning capabilities in the United States and make recommendations on what needs to be done to cost effectively establish a National Emergency Warning System to best serve the people of the United States, including those with disabilities. As part of this assessment, terminology will be defined, existing systems will be examined, critical needs and functions will be explained, and recommendations made for a system to deliver emergency messages to those people immediately at risk from natural and human-caused disasters in a timely and effective manner, regardless of location or situational circumstance. The assessment will include the needs and available technologies for delivering emergency warnings to people with disabilities, which are generally little understood, poorly addressed, and often ignored.

  1. The Financial Benefit of Early Flood Warnings in Europe

    Science.gov (United States)

    Pappenberger, Florian; Cloke, Hannah L.; Wetterhall, Fredrik; Parker, Dennis J.; Richardson, David; Thielen, Jutta

    2015-04-01

    Effective disaster risk management relies on science based solutions to close the gap between prevention and preparedness measures. The outcome of consultations on the UNIDSR post-2015 framework for disaster risk reduction highlight the need for cross-border early warning systems to strengthen the preparedness phases of disaster risk management in order to save people's lives and property and reduce the overall impact of severe events. In particular, continental and global scale flood forecasting systems provide vital information to various decision makers with which early warnings of floods can be made. Here the potential monetary benefits of early flood warnings using the example of the European Flood Awareness System (EFAS) are calculated based on pan-European Flood damage data and calculations of potential flood damage reductions. The benefits are of the order of 400 Euro for every 1 Euro invested. Because of the uncertainties which accompany the calculation, a large sensitivity analysis is performed in order to develop an envelope of possible financial benefits. Current EFAS system skill is compared against perfect forecasts to demonstrate the importance of further improving the skill of the forecasts. Improving the response to warnings is also essential in reaping the benefits of flood early warnings.

  2. 14 CFR 121.360 - Ground proximity warning-glide slope deviation alerting system.

    Science.gov (United States)

    2010-01-01

    ... deviation alerting system. 121.360 Section 121.360 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION... Equipment Requirements § 121.360 Ground proximity warning-glide slope deviation alerting system. (a) No... system that meets the performance and environmental standards of TSO-C92 (available from the FAA, 800...

  3. Historical telecommunication in the Hindukush-Karakoram-Himalayas: An ancient early warning system for glacier lake outbursts

    Science.gov (United States)

    Iturrizaga, Lasafam

    2016-04-01

    Mountain societies are in a crucial transition phase in terms of the management of natural hazards. Advances in geographic technologies, such as a variety of remote-sensing tools and mobile communication systems, have drastically changed the way of early warning methods in difficult accessible high mountain environments compared to those of ancient times. In order to implement new natural hazard policies, it is essential to unravel the traditional ways of disaster management which is presented here by a case study from the Hindukush-Karakoram-Himalayas. In the rugged relief of the Himalaya Region, the exchange of information was a labor-intensive and time-consuming task for remote high mountain villages before the infrastructural development and the introduction of modern communication systems. Therefore, early warning of natural hazards with long run-out distances seems to have been rather impossible. However, in the present study a historical optical long-distance and fast operating communication system over horizontal distances of several hundred kilometers was discovered during field investigations in the Hindukush-Karakoram and the transmission paths reconstructed in the following years. The so called Puberanch-system relied on a chain of fire signals as used by ancient societies in other mountain and coastal environments in the world. It was originally in use for the alert against war attacks from hostile neighboring communities. Later on, it served as an early warning system for glacier lake outbursts, which have been in the end of the 19th century and beginning of the 20th century one of the most devastating natural hazards in the region. Remarkable is the fact that fire posts were located in extremely harsh environments at altitudes above 4000 m requiring a highly sophisticated supply system of fire wood and food. Interviews with local inhabitants, the evaluation of historical travel records and international newspapers proved, that the system has been

  4. Reducing Loss of Life and Property from Disasters: A Societal Benefit Area of the Strategic Plan for U.S. Integrated Earth Observation System (IEOS)

    Science.gov (United States)

    Helz, Rosalind L.; Gaynor, John E.

    2007-01-01

    Natural and technological disasters, such as hurricanes and other extreme weather events, earthquakes, volcanic eruptions, landslides and debris flows, wildland and urban-interface fires, floods, oil spills, and space-weather storms, impose a significant burden on society. Throughout the United States, disasters inflict many injuries and deaths, and cost the nation $20 billion each year (SDR, 2003). Disasters in other countries can affect U.S. assets and interests overseas (e.g. the eruption of Mt. Pinatubo in the Philippines, which effectively destroyed Clark Air Force Base). Also, because they have a disproportionate impact on developing countries, disasters are major barriers to sustainable development. Improving our ability to assess, predict, monitor, and respond to hazardous events is a key factor in reducing the occurrence and severity of disasters, and relies heavily on the use of information from well-designed and integrated Earth observation systems. To fully realize the benefits gained from the observation systems, the information derived must be disseminated through effective warning systems and networks, with products tailored to the needs of the end users and the general public.

  5. Developing effective warning systems: Ongoing research at Ruapehu volcano, New Zealand

    Science.gov (United States)

    Leonard, Graham S.; Johnston, David M.; Paton, Douglas; Christianson, Amy; Becker, Julia; Keys, Harry

    2008-05-01

    PurposeThis paper examines the unique challenges to volcanic risk management associated with having a ski area on an active volcano. Using a series of simulated eruption/lahar events at Ruapehu volcano, New Zealand, as a context, a model of risk management that integrates warning system design and technology, risk perceptions and the human response is explored. Principal resultsDespite increases in the observed audibility and comprehension of the warning message, recall of public education content, and people's awareness of volcanic risk, a persistent minority of the public continued to demonstrate only moderate awareness of the correct actions to take during a warning and failed to respond effectively. A relationship between level of staff competence and correct public response allowed the level of public response to be used to identify residual risk and additional staff training needs. The quality of staff awareness, action and decision-making has emerged as a critical factor, from detailed staff and public interviews and from exercise observations. Staff actions are especially important for mobilising correct public response at Ruapehu ski areas due to the transient nature of the visitor population. Introduction of education material and staff training strategies that included the development of emergency decision-making competencies improved knowledge of correct actions, and increased the proportion of people moving out of harm's way during blind tests. Major conclusionsWarning effectiveness is a function of more than good hazard knowledge and the generation and notification of an early warning message. For warning systems to be effective, these factors must be complemented by accurate knowledge of risk and risk management actions. By combining the Ruapehu findings with those of other warning system studies in New Zealand, and internationally, a practical five-step model for effective early warning systems is discussed. These steps must be based upon sound and

  6. Security warning method and system for worker safety during live-line working

    Science.gov (United States)

    Jiang, Chilong; Zou, Dehua; Long, Chenhai; Yang, Miao; Zhang, Zhanlong; Mei, Daojun

    2017-09-01

    Live-line working is an essential part in the operations in an electric power system. Live-line workers are required to wear shielding clothing. Shielding clothing, however, acts as a closed environment for the human body. Working in a closed environment for a long time can change the physiological responses of the body and even endanger personal safety. According to the typical conditions of live-line working, this study synthesizes environmental factors related to shielding clothing and the physiological factors of the body to establish the heart rate variability index RMSSD and the comprehensive security warning index SWI. On the basis of both indices, this paper proposes a security warning method and system for the safety live-line workers. The system can monitor the real-time status of workers during live-line working to provide security warning and facilitate the effective safety supervision by the live operation center during actual live-line working.

  7. Warning systems in a computerized nursing process for Intensive Care Units

    Directory of Open Access Journals (Sweden)

    Daniela Couto Carvalho Barra

    2014-02-01

    Full Text Available A hybrid study combining technological production and methodological research aiming to establish associations between the data and information that are part of a Computerized Nursing Process according to the ICNP® Version 1.0, indicators of patient safety and quality of care. Based on the guidelines of the Agency for Healthcare Research and Quality and the American Association of Critical Care Nurses for the expansion of warning systems, five warning systems were developed: potential for iatrogenic pneumothorax, potential for care-related infections, potential for suture dehiscence in patients after abdominal or pelvic surgery, potential for loss of vascular access, and potential for endotracheal extubation. The warning systems are a continuous computerized resource of essential situations that promote patient safety and enable the construction of a way to stimulate clinical reasoning and support clinical decision making of nurses in intensive care.

  8. Rapid earthquake magnitude determination for Vrancea early warning system

    International Nuclear Information System (INIS)

    Marmureanu, Alexandru

    2009-01-01

    Due to the huge amount of recorded data, an automatic procedure was developed and used to test different methods to rapidly evaluate earthquake magnitude from the first seconds of the P wave. In order to test all the algorithms involved in detection and rapid earthquake magnitude estimation, several tests were performed, in order to avoid false alarms. A special detection algorithm was developed, that is based on the classical STA/LTA algorithm and tuned for early warning purpose. A method to rapidly estimate magnitude in 4 seconds from detection of P wave in the epicenter is proposed. The method was tested on al recorded data, and the magnitude error determination is acceptable taking into account that it is computed from only 3 stations in a very short time interval. (author)

  9. Development and Evaluation of Disaster Information Management System Using Digital Pens and Tabletop User Interfaces

    Science.gov (United States)

    Fukada, Hidemi; Kobayashi, Kazue; Satou, Kenji; Kawana, Hideyuki; Masuda, Tomohiro

    Most traditional disaster information systems are necessary to post expert staff with high computer literacy to operate the system quickly and correctly in the tense situation when a disaster occurs. However, in the current disaster response system of local governments, it is not easy for local governments to post such expert staff because they are struggling with staff cuts due to administrative and fiscal reform. In this research, we propose a disaster information management system that can be easily operated, even under the disorderly conditions of a disaster, by municipal personnel in charge of disaster management. This system achieves usability enabling easy input of damage information, even by local government staff with no expertise, by using a digital pen and tabletop user interface. Evaluation was conducted by prospective users using a prototype, and the evaluation results are satisfactory with regard to the function and operationality of the proposed system.

  10. Earthquake Drill using the Earthquake Early Warning System at an Elementary School

    Science.gov (United States)

    Oki, Satoko; Yazaki, Yoshiaki; Koketsu, Kazuki

    2010-05-01

    economic repercussion. We provide the school kids with the "World Seismicity Map" to let them realize that earthquake disasters take place unequally. Then we let the kids jump in front of the seismometer with projecting the real-time data to the wall. Grouped kids contest the largest amplitude by carefully considering how to jump high but nail the landing with their teammates. Their jumps are printed out via portable printer and compared with the real earthquake which occurred even 600km away but still huge when printed out in the same scale. Actually, a magnitude 7 earthquake recorded 600km away needs an A0 paper when scaled with a jump of 10 kids printed in an A4 paper. They've got to understand what to do not to be killed with the great big energy. We also offer earthquake drills using the Earthquake Early Warning System (EEW System). An EEW System is officially introduced in 2007 by JMA (Japan Meteorological Agency) to issue prompt alerts to provide several to several ten seconds before S-wave arrives. When hearing the alarm, school kids think fast to find a place to protect themselves. It is not always when they are in their classrooms but in the chemical lab, music room which does not have any desks to protect them, or in the PE class. Then in the science class, we demonstrate how the EEW System works. A 8m long wave propagation device made with spindles connected with springs is used to visualize the P- and S-waves. In the presentation, we would like to show the paper materials and sufficient movies.

  11. REWSET: A prototype seismic and tsunami early warning system in Rhodes island, Greece

    Science.gov (United States)

    Papadopoulos, Gerasimos; Argyris, Ilias; Aggelou, Savvas; Karastathis, Vasilis

    2014-05-01

    Tsunami warning in near-field conditions is a critical issue in the Mediterranean Sea since the most important tsunami sources are situated within tsunami wave travel times starting from about five minutes. The project NEARTOWARN (2012-2013) supported by the EU-DG ECHO contributed substantially to the development of new tools for the near-field tsunami early warning in the Mediterranean. One of the main achievements is the development of a local warning system in the test-site of Rhodes island (Rhodes Early Warning System for Earthquakes and Tsunamis - REWSET). The system is composed by three main subsystems: (1) a network of eight seismic early warning devices installed in four different localities of the island, one in the civil protection, another in the Fire Brigade and another two in municipality buildings; (2) two radar-type (ultrasonic) tide-gauges installed in the eastern coastal zine of the island which was selected since research on the historical earthquake and tsunami activity has indicated that the most important, near-field tsunami sources are situated offshore to the east of Rhodes; (3) a crisis Geographic Management System (GMS), which is a web-based and GIS-based application incorporating a variety of thematic maps and other information types. The seismic early warning devices activate by strong (magnitude around 6 or more) earthquakes occurring at distances up to about 100 km from Rhodes, thus providing immediate mobilization of the civil protection. The tide-gauges transmit sea level data, while during the crisis the GMS supports decisions to be made by civil protection. In the near future it is planned the REWSET system to be integrated with national and international systems. REWSET is a prototype which certainly could be developed in other coastal areas of the Mediterranean and beyond.

  12. Environmental Warning System Based on the DPSIR Model: A Practical and Concise Method for Environmental Assessment

    Directory of Open Access Journals (Sweden)

    Wenqi Wang

    2018-05-01

    Full Text Available Though we are in urgent need of environmental warnings to slow environmental deterioration, currently, there is no internationally concise method for environmental warnings. In addition, the existing approaches do not combine the three aspects of ecology, resources, and environment. At the same time, the three elements of the environment (air, water, and soil are separated in most environmental warning systems. Thus, the method this paper gives is an innovative attempt and aims to make environmental assessment more practical. This paper establishes the index system of an environmental early warning based on the Driving–Pressure–State–Influence–Response (DPSIR model. The Analytic Hierarchy Process (AHP method was used to determine the weights. Next, single and integrated index methods further assess the environmental warning state, in which the weighted summation method is used to summarize the data and results. The case of Tianjin is used to confirm the applicability of this method. In conclusion, the method in this paper is more well-behaved and, therefore, more suitable to assist cities in their environmental assessment.

  13. Development of a Global Agricultural Hotspot Detection and Early Warning System

    Science.gov (United States)

    Lemoine, G.; Rembold, F.; Urbano, F.; Csak, G.

    2015-12-01

    The number of web based platforms for crop monitoring has grown rapidly over the last years and anomaly maps and time profiles of remote sensing derived indicators can be accessed online thanks to a number of web based portals. However, while these systems make available a large amount of crop monitoring data to the agriculture and food security analysts, there is no global platform which provides agricultural production hotspot warning in a highly automatic and timely manner. Therefore a web based system providing timely warning evidence as maps and short narratives is currently under development by the Joint Research Centre. The system (called "HotSpot Detection System of Agriculture Production Anomalies", HSDS) will focus on water limited agricultural systems worldwide. The automatic analysis of relevant meteorological and vegetation indicators at selected administrative units (Gaul 1 level) will trigger warning messages for the areas where anomalous conditions are observed. The level of warning (ranging from "watch" to "alert") will depend on the nature and number of indicators for which an anomaly is detected. Information regarding the extent of the agricultural areas concerned by the anomaly and the progress of the agricultural season will complement the warning label. In addition, we are testing supplementary detailed information from other sources for the areas triggering a warning. These regard the automatic web-based and food security-tailored analysis of media (using the JRC Media Monitor semantic search engine) and the automatic detection of active crop area using Sentinel 1, upcoming Sentinel-2 and Landsat 8 imagery processed in Google Earth Engine. The basic processing will be fully automated and updated every 10 days exploiting low resolution rainfall estimates and satellite vegetation indices. Maps, trend graphs and statistics accompanied by short narratives edited by a team of crop monitoring experts, will be made available on the website on a

  14. Developing a drought early warning information system for coastal ecosystems in the Carolinas

    Science.gov (United States)

    Kirsten Lackstrom; Amanda Brennan; Paul Conrads; Lisa Darby; Kirstin Dow; Daniel Tuford

    2016-01-01

    The National Integrated Drought Information System (NIDIS) and the Carolinas Integrated Sciences and Assessments (CISA), a National Oceanic and Atmospheric Administration (NOAA)- funded Regional Integrated Sciences and Assessments (RISA) program, are partnering to develop and support a Carolinas Drought Early Warning System pilot program. Research and projects focus on...

  15. Strategic framework for socioeconomic viability of community-based early warning system

    NARCIS (Netherlands)

    Homberg, M.J.C. van den; Posthumus, A.L.

    2014-01-01

    Christian Aid, Cordaid, PVGS and Practical Action established a community-based early warning system for cross-border floods between India and Nepal in 45 Indian villages. The project will scale to 95 villages early 2016. The number of stakeholders and organizational levels of this system with four

  16. The International Atomic Energy Agency shows keen interest. Innovative warning system for nuclear proliferation

    International Nuclear Information System (INIS)

    Smet, S.; Van der Meer, K.

    2011-01-01

    In order to prevent nuclear proliferation, nuclear fuels and other strategic materials have to be responsibly managed. Non-proliferation aims to counteract the uncontrolled proliferation of nuclear materials worldwide. SCK-CEN is developing an innovative nuclear warning system based on political and economic indicators. Such a system should allow the early detection of the development of a nuclear weapons programme.

  17. Climate change implications and use of early warning systems for global dust storms

    Science.gov (United States)

    Harriman, Lindsey M.

    2014-01-01

    With increased changes in land cover and global climate, early detection and warning of dust storms in conjunction with effective and widespread information broadcasts will be essential to the prevention and mitigation of future risks and impacts. Human activities, seasonal variations and long-term climatic patterns influence dust storms. More research is needed to analyse these factors of dust mobilisation to create more certainty for the fate of vulnerable populations and ecosystems in the future. Early warning and communication systems, when in place and effectively implemented, can offer some relief to these vulnerable areas. As an issue that affects many regions of the world, there is a profound need to understand the potential changes and ultimately create better early warning systems for dust storms.

  18. Multiplexed FBG Monitoring System for Forecasting Coalmine Water Inrush Disaster

    Directory of Open Access Journals (Sweden)

    B. Liu

    2012-01-01

    Full Text Available This paper presents a novel fiber-Bragg-grating- (FBG- based system which can monitor and analyze multiple parameters such as temperature, strain, displacement, and seepage pressure simultaneously for forecasting coalmine water inrush disaster. The sensors have minimum perturbation on the strain field. And the seepage pressure sensors adopt a drawbar structure and employ a corrugated diaphragm to transmit seepage pressure to the axial strain of FBG. The pressure sensitivity is 20.20 pm/KPa, which is 6E3 times higher than that of ordinary bare FBG. The FBG sensors are all preembedded on the roof of mining area in coalmine water inrush model test. Then FBG sensing network is set up applying wavelength-division multiplexing (WDM technology. The experiment is carried out by twelve steps, while the system acquires temperature, strain, displacement, and seepage pressure signals in real time. The results show that strain, displacement, and seepage pressure monitored by the system change significantly before water inrush occurs, and the strain changes firstly. Through signal fusion analyzed it can be concluded that the system provides a novel way to forecast water inrush disaster successfully.

  19. Financing the Canterbury Health System post-disaster.

    Science.gov (United States)

    Reid, Matthew; Pink, Ramon

    2016-12-16

    The Canterbury Health System has invested substantially in its transformation to a patient-centred, integrated system, enabling improved performance despite the significant and long-term impacts of the Christchurch earthquakes in 2010 and 2011. Questions have been raised about whether this transformation is sustainable and affordable. We argue that there is a need for a post-disaster health funding strategy that takes into account the challenge of following population movements after a large natural disaster, and higher costs resulting from the disruption and the effect on the population. Such a strategy should also provide stability in an unstable environment. However, funding for health in Canterbury has followed a 'business as usual' model using the population-based funding formula, which we view as problematic. Additionally, increases in funding using that formula have been below the national average, which we believe is perverse. Canterbury has received an additional $84 million government in deficit funding since 2010/11, and this has covered part of the extra cost attributable to the earthquake. However, without system-wide integration and innovation that was underway before, and that has continued since the earthquakes, it is likely the Canterbury Health System would not have been able to meet the health needs of its population. If health funding for Canterbury had continued to increase at the average rate applied across New Zealand over the past five years, deficit funding would not have been required.

  20. EVALUATION OF DISASTER MITIGATION SYSTEM AGAINST LAHAR FLOW OF PUTIH RIVER, MT. MERAPI AREA

    Directory of Open Access Journals (Sweden)

    T. Maksal Saputra

    2013-05-01

    Result of the evaluation shows that the existing early warning system does not produce sufficient time for the sand miners to save themselves. The proposed solution is to divide sand mine area in Putih River into 3 zones, each zone has different procedure of the early warning and evacuation. This is arranged to avoid casualties to the sand miners. Keywords: Lahar flood, sand miners, early warning.

  1. An Envelope Based Feedback Control System for Earthquake Early Warning: Reality Check Algorithm

    Science.gov (United States)

    Heaton, T. H.; Karakus, G.; Beck, J. L.

    2016-12-01

    Earthquake early warning systems are, in general, designed to be open loop control systems in such a way that the output, i.e., the warning messages, only depend on the input, i.e., recorded ground motions, up to the moment when the message is issued in real-time. We propose an algorithm, which is called Reality Check Algorithm (RCA), which would assess the accuracy of issued warning messages, and then feed the outcome of the assessment back into the system. Then, the system would modify its messages if necessary. That is, we are proposing to convert earthquake early warning systems into feedback control systems by integrating them with RCA. RCA works by continuously monitoring and comparing the observed ground motions' envelopes to the predicted envelopes of Virtual Seismologist (Cua 2005). Accuracy of magnitude and location (both spatial and temporal) estimations of the system are assessed separately by probabilistic classification models, which are trained by a Sparse Bayesian Learning technique called Automatic Relevance Determination prior.

  2. Development and evaluation of fixed phrase registration function for disaster response management system

    International Nuclear Information System (INIS)

    Suzuki, Takeyasu; Tsuda, Teppei

    2012-01-01

    It is important that three elements such as what happened, how it will advance, and how people should act are intelligibly transferred in disaster information from administrative organs to local residents. In this paper, authors developed the fixed phrase registration function and it was implemented in disaster response management system authors have previously developed. The system was applied to disaster response exercise in Mitsuke City, Niigata prefecture and the function was highly evaluated by employees of Mitsuke City. (author)

  3. GEOGRAPHIC INFORMATION SYSTEM AND REMOTE SENSING BASED DISASTER MANAGEMENT AND DECISION SUPPORT PLATFORM: AYDES

    OpenAIRE

    Keskin, İ.; Akbaba, N.; Tosun, M.; Tüfekçi, M. K.; Bulut, D.; Avcı, F.; Gökçe, O.

    2018-01-01

    The accelerated developments in information technology in recent years, increased the amount of usage of Geographic Information Systems (GIS) and Remote Sensing (RS) in disaster management considerably and the access from mobile and web-based platforms to continuous, accurate and sufficient data needed for decision-making became easier accordingly. The Disaster Management and Decision Support System (AYDES) has been developed with the purpose of managing the disaster and emergency manageme...

  4. Monitoring Regional Forest Disturbances across the US with Near Real Time MODIS NDVI Products included in the ForWarn Forest Threat Early Warning System

    Science.gov (United States)

    Spruce, Joseph; Hargrove, William W.; Gasser, Gerald; Norman, Steve

    2013-01-01

    U.S. forests occupy approx.1/3 of total land area (approx. 304 million ha). Since 2000, a growing number of regionally evident forest disturbances have occurred due to abiotic and biotic agents. Regional forest disturbances can threaten human life and property, bio-diversity and water supplies. Timely regional forest disturbance monitoring products are needed to aid forest health management work. Near Real Time (NRT) twice daily MODIS NDVI data provide a means to monitor U.S. regional forest disturbances every 8 days. Since 2010, these NRT forest change products have been produced and posted on the US Forest Service ForWarn Early Warning System for Forest Threats.

  5. An early warning system for groundwater pollution based on the assessment of groundwater pollution risks.

    Science.gov (United States)

    Zhang, Weihong.; Zhao, Yongsheng; Hong, Mei; Guo, Xiaodong

    2009-04-01

    Groundwater pollution usually is complex and concealed, remediation of which is difficult, high cost, time-consuming, and ineffective. An early warning system for groundwater pollution is needed that detects groundwater quality problems and gets the information necessary to make sound decisions before massive groundwater quality degradation occurs. Groundwater pollution early warning were performed by considering comprehensively the current groundwater quality, groundwater quality varying trend and groundwater pollution risk . The map of the basic quality of the groundwater was obtained by fuzzy comprehensive evaluation or BP neural network evaluation. Based on multi-annual groundwater monitoring datasets, Water quality state in sometime of the future was forecasted using time-sequenced analyzing methods. Water quality varying trend was analyzed by Spearman's rank correlative coefficient.The relative risk map of groundwater pollution was estimated through a procedure that identifies, cell by cell,the values of three factors, that is inherent vulnerability, load risk of pollution source and contamination hazard. DRASTIC method was used to assess inherent vulnerability of aquifer. Load risk of pollution source was analyzed based on the potential of contamination and pollution degree. Assessment index of load risk of pollution source which involves the variety of pollution source, quantity of contaminants, releasing potential of pollutants, and distance were determined. The load risks of all sources considered by GIS overlay technology. Early warning model of groundwater pollution combined with ComGIS technology organically, the regional groundwater pollution early-warning information system was developed, and applied it into Qiqiha'er groundwater early warning. It can be used to evaluate current water quality, to forecast water quality changing trend, and to analyze space-time influencing range of groundwater quality by natural process and human activities. Keywords

  6. 77 FR 5616 - Proposed Technical Standard Order (TSO)-C151c, Terrain Awareness and Warning System (TAWS)

    Science.gov (United States)

    2012-02-03

    ... (TSO)-C151c, Terrain Awareness and Warning System (TAWS) ACTION: Notice of availability and request for... second draft of Technical Standard Order (TSO)- C151c, Terrain Awareness and Warning System. Comments.... b. Addition of Localizer Performance with Vertical guidance (LPV) and Global Navigation Satellite...

  7. Forests and Phenology: Designing the Early Warning System to Understand Forest Change

    Science.gov (United States)

    Pierce, T.; Phillips, M. B.; Hargrove, W. W.; Dobson, G.; Hicks, J.; Hutchins, M.; Lichtenstein, K.

    2010-12-01

    Vegetative phenology is the study of plant development and changes with the seasons, such as the greening-up and browning-down of forests, and how these events are influenced by variations in climate. A National Phenology Data Set, based on Moderate Resolution Imaging Spectroradiometer satellite images covering 2002 through 2009, is now available from work by NASA, the US Forest Service, and Oak Ridge National Laboratory. This new data set provides an easily interpretable product useful for detecting changes to the landscape due to long-term factors such as climate change, as well as finding areas affected by short-term forest threats such as insects or disease. The Early Warning System (EWS) is a toolset being developed by the US Forest Service and the University of North Carolina-Asheville to support distribution and use of the National Phenology Data Set. The Early Warning System will help research scientists, US Forest Service personnel, forest and natural resources managers, decision makers, and the public in the use of phenology data to better understand unexpected change within our nation’s forests. These changes could have multiple natural sources such as insects, disease, or storm damage, or may be due to human-induced events, like thinning, harvest, forest conversion to agriculture, or residential and commercial use. The primary goal of the Early Warning System is to provide a seamless integration between monitoring, detection, early warning and prediction of these forest disturbances as observed through phenological data. The system consists of PC and web-based components that are structured to support four user stages of increasing knowledge and data sophistication. Building Literacy: This stage of the Early Warning System educates potential users about the system, why the system should be used, and the fundamentals about the data the system uses. The channels for this education include a website, interactive tutorials, pamphlets, and other technology

  8. Drought Risk Identification: Early Warning System of Seasonal Agrometeorological Drought

    Science.gov (United States)

    Dalecios, Nicolas; Spyropoulos, Nicos V.; Tarquis, Ana M.

    2014-05-01

    By considering drought as a hazard, drought types are classified into three categories, namely meteorological or climatological, agrometeorological or agricultural and hydrological drought and as a fourth class the socioeconomic impacts can be considered. This paper addresses agrometeorological drought affecting agriculture within the risk management framework. Risk management consists of risk assessment, as well as a feedback on the adopted risk reduction measures. And risk assessment comprises three distinct steps, namely risk identification, risk estimation and risk evaluation. This paper deals with the quantification and monitoring of agrometeorological drought, which constitute part of risk identification. For the quantitative assessment of agrometeorological or agricultural drought, as well as the computation of spatiotemporal features, one of the most reliable and widely used indices is applied, namely the Vegetation Health Index (VHI). The computation of VHI is based on satellite data of temperature and the Normalized Difference Vegetation Index (NDVI). The spatiotemporal features of drought, which are extracted from VHI are: areal extent, onset and end time, duration and severity. In this paper, a 20-year (1981-2001) time series of NOAA/AVHRR satellite data is used, where monthly images of VHI are extracted. Application is implemented in Thessaly, which is the major agricultural region of Greece characterized by vulnerable and drought-prone agriculture. The results show that every year there is a seasonal agrometeorological drought with a gradual increase in the areal extent and severity with peaks appearing usually during the summer. Drought monitoring is conducted by monthly remotely sensed VHI images. Drought early warning is developed using empirical relationships of severity and areal extent. In particular, two second-order polynomials are fitted, one for low and the other for high severity drought, respectively. The two fitted curves offer a seasonal

  9. Development of a hybrid earthquake early warning system based on single sensor technique

    International Nuclear Information System (INIS)

    Gravirov, V.V.; Kislov, K.V.

    2012-01-01

    There are two methods to earthquake early warning system: the method based on a network of seismic stations and the single-sensor method. Both have advantages and drawbacks. The current systems rely on high density seismic networks. Attempts at implementing techniques based on the single-station principle encounter difficulties in the identification of earthquake in noise. The noise may be very diverse, from stationary to impulsive. It seems a promising line of research to develop hybrid warning systems with single-sensors being incorporated in the overall early warning network. This will permit using all advantages and will help reduce the radius of the hazardous zone where no earthquake warning can be produced. The main problems are highlighted and the solutions of these are discussed. The system is implemented to include three detection processes in parallel. The first is based on the study of the co-occurrence matrix of the signal wavelet transform. The second consists in using the method of a change point in a random process and signal detection in a moving time window. The third uses artificial neural networks. Further, applying a decision rule out the final earthquake detection is carried out and estimate its reliability. (author)

  10. Indicators of financial crises do work! : an early-warning system for six Asian countries

    NARCIS (Netherlands)

    Lestano, [No Value; Jacobs, Jan; Kuper, Gerard H.

    2003-01-01

    Indicators of financial crisis generally do not have a good track record. This paper presents an early warning system for six countries in Asia, in which indicators do work.We distinguish three types of financial crises, currency crises, banking crises and debt crises, and extract four groups of

  11. Implementing paediatric early warning scores systems in the Netherlands: future implications.

    NARCIS (Netherlands)

    Groot, J.F. de; Damen, N.; Loos, E. de; Steeg, L. van de; Rosias, P.; Bruijn, M.; Goorhuis, J.; Wagner, C.

    2018-01-01

    Background: Paediatric Early Warning Scores (PEWS) are increasingly being used for early identification and management of clinical deterioration in paediatric patients. A PEWS system includes scores, cut-off points and appropriate early intervention. In 2011, The Dutch Ministry of Health advised

  12. Geospatiotemporal data mining in an early warning system for forest threats in the United States

    Science.gov (United States)

    F.M. Hoffman; R.T. Mills; J. Kumar; S.S. Vulli; W.W. Hargrove

    2010-01-01

    We investigate the potential of geospatiotemporal data mining of multi-year land surface phenology data (250 m Normalized Difference Vegetation Index (NDVI) values derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) in this study) for the conterminous United States as part of an early warning system to identify threats to forest ecosystems. Cluster...

  13. Beyond institutional capacity: political motivation and parliamentary behaviour in the early warning system

    NARCIS (Netherlands)

    Gattermann, K.; Hefftler, C.

    2015-01-01

    The Early Warning System gives national parliaments the right to intervene in European Union policy-making. This article investigates their incentives to submit reasoned opinions. It analyses the reactions of 40 parliamentary chambers to 411 draft legislative acts between 1 January 2010 and 31

  14. Of Needles and Haystacks: Building an Accurate Statewide Dropout Early Warning System in Wisconsin

    Science.gov (United States)

    Knowles, Jared E.

    2015-01-01

    The state of Wisconsin has one of the highest four year graduation rates in the nation, but deep disparities among student subgroups remain. To address this the state has created the Wisconsin Dropout Early Warning System (DEWS), a predictive model of student dropout risk for students in grades six through nine. The Wisconsin DEWS is in use…

  15. Investigation on forecasting and warning systems, experience from a project in Denmark

    DEFF Research Database (Denmark)

    Axelsen, Jørgen Aagaard; Munk, Lisa; Ørum, Jens Erik

    2011-01-01

    This paper is dealing with the results of a knowledge synthesis on monitoring, warning and decision systems made for the Danish environmental protection agency during 2011. The knowledge synthesis document is a volume of about 160 pages written in Danish and the present paper is the English versi...

  16. Brake reactions of distracted drivers to pedestrian Forward Collision Warning systems.

    Science.gov (United States)

    Lubbe, Nils

    2017-06-01

    Forward Collision Warning (FCW) can be effective in directing driver attention towards a conflict and thereby aid in preventing or mitigating collisions. FCW systems aiming at pedestrian protection have been introduced onto the market, yet an assessment of their safety benefits depends on the accurate modeling of driver reactions when the system is activated. This study contributes by quantifying brake reaction time and brake behavior (deceleration levels and jerk) to compare the effectiveness of an audio-visual warning only, an added haptic brake pulse warning, and an added Head-Up Display in reducing the frequency of collisions with pedestrians. Further, this study provides a detailed data set suited for the design of assessment methods for car-to-pedestrian FCW systems. Brake response characteristics were measured for heavily distracted drivers who were subjected to a single FCW event in a high-fidelity driving simulator. The drivers maintained a self-regulated speed of 30km/h in an urban area, with gaze direction diverted from the forward roadway by a secondary task. Collision rates and brake reaction times differed significantly across FCW settings. Brake pulse warnings resulted in the lowest number of collisions and the shortest brake reaction times (mean 0.8s, SD 0.29s). Brake jerk and deceleration were independent of warning type. Ninety percent of drivers exceeded a maximum deceleration of 3.6m/s 2 and a jerk of 5.3m/s 3 . Brake pulse warning was the most effective FCW interface for preventing collisions. In addition, this study presents the data required for driver modeling for car-to-pedestrian FCW similar to Euro NCAP's 2015 car-to-car FCW assessment. Practical applications: Vehicle manufacturers should consider the introduction of brake pulse warnings to their FCW systems. Euro NCAP could introduce an assessment that quantifies the safety benefits of pedestrian FCW systems and thereby aid the proliferation of effective systems. Copyright © 2017

  17. Near Real Time Flood Warning System for National Capital Territory of Delhi

    Science.gov (United States)

    Goyal, A.; Yadav, H.; Tyagi, H.; Gosain, A. K.

    2017-12-01

    Extreme floods are common phenomena during Indian Monsoons. The National Capital Territory area of India, Delhi, frequently experiences fluvial as well as pluvial inundation due to its proximity to river Yamuna and poor functioning of its stormwater drainage system. The urban floods result in severe waterlogging and heavy traffic snarls, bringing life in this megapolis to a halt. The city has witnessed six major floods since 1900 and thus its residents are well conscious of potential flood risks but the city still lacks a flood warning system. The flood related risks can be considerably reduced, if not eliminated, by issuing timely warnings and implementing adaptive measures. Therefore, the present study attempts to develop a web based platform that integrates Web-GIS technology and mathematical simulation modelling to provide an effective and reliable early flood warning service for Delhi. The study makes use of India Metorological Department's Doppler radar-derived near real time rainfall estimates of 15 minutes time step. The developed SWMM model has been validated using information from gauges, monitoring sensors and crowd sourcing techniques and utilises capabilities of cloud computing on server side for fast processing. This study also recommends safe evacuation policy and remedial measures for flooding hotspots as part of flood risk management plan. With heightened risk of floods in fast urbanizing areas, this work becomes highly pertinent as flood warning system with adequate lead time can not only save precious lives but can also substantially reduce flood damages.

  18. DISTANT EARLY WARNING SYSTEM for Tsunamis - A wide-area and multi-hazard approach

    Science.gov (United States)

    Hammitzsch, Martin; Lendholt, Matthias; Wächter, Joachim

    2010-05-01

    The DEWS (Distant Early Warning System) [1] project, funded under the 6th Framework Programme of the European Union, has the objective to create a new generation of interoperable early warning systems based on an open sensor platform. This platform integrates OGC [2] SWE [3] compliant sensor systems for the rapid detection of hazardous events, like earthquakes, sea level anomalies, ocean floor occurrences, and ground displacements in the case of tsunami early warning. Based on the upstream information flow DEWS focuses on the improvement of downstream capacities of warning centres especially by improving information logistics for effective and targeted warning message aggregation for a multilingual environment. Multiple telecommunication channels will be used for the dissemination of warning messages. Wherever possible, existing standards have been integrated. The Command and Control User Interface (CCUI), a rich client application based on Eclipse RCP (Rich Client Platform) [4] and the open source GIS uDig [5], integrates various OGC services. Using WMS (Web Map Service) [6] and WFS (Web Feature Service) [7] spatial data are utilized to depict the situation picture and to integrate a simulation system via WPS (Web Processing Service) [8] to identify affected areas. Warning messages are compiled and transmitted in the OASIS [9] CAP (Common Alerting Protocol) [10] standard together with addressing information defined via EDXL-DE (Emergency Data Exchange Language - Distribution Element) [11]. Internal interfaces are realized with SOAP [12] web services. Based on results of GITEWS [13] - in particular the GITEWS Tsunami Service Bus [14] - the DEWS approach provides an implementation for tsunami early warning systems but other geological paradigms are going to follow, e.g. volcanic eruptions or landslides. Therefore in future also multi-hazard functionality is conceivable. The specific software architecture of DEWS makes it possible to dock varying sensors to the

  19. Comparison of Expected Crash and Injury Reduction from Production Forward Collision and Lane Departure Warning Systems.

    Science.gov (United States)

    Kusano, Kristofer D; Gabler, Hampton C

    2015-01-01

    The U.S. New Car Assessment Program (NCAP) now tests for forward collision warning (FCW) and lane departure warning (LDW). The design of these warnings differs greatly between vehicles and can result in different real-world field performance in preventing or mitigating the effects of collisions. The objective of this study was to compare the expected number of crashes and injured drivers that could be prevented if all vehicles in the fleet were equipped with the FCW and LDW systems tested under the U.S. NCAP. To predict the potential crashes and serious injury that could be prevented, our approach was to computationally model the U.S. crash population. The models simulated all rear-end and single-vehicle road departure collisions that occurred in a nationally representative crash database (NASS-CDS). A sample of 478 single-vehicle crashes from NASS-CDS 2012 was the basis for 24,822 simulations for LDW. A sample of 1,042 rear-end collisions from NASS-CDS years 1997-2013 was the basis for 7,616 simulations for FCW. For each crash, 2 simulations were performed: (1) without the system present and (2) with the system present. Models of each production safety system were based on 54 model year 2010-2014 vehicles that were evaluated under the NCAP confirmation procedure for LDW and/or FCW. NCAP performed 40 LDW and 45 FCW tests of these vehicles. The design of the FCW systems had a dramatic impact on their potential to prevent crashes and injuries. Between 0 and 67% of crashes and 2 and 69% of moderately to fatally injured drivers in rear-end impacts could have been prevented if all vehicles were equipped with the FCW systems. Earlier warning times resulted in increased benefits. The largest effect on benefits, however, was the lower operating speed threshold of the systems. Systems that only operated at speeds above 20 mph were less than half as effective as those that operated above 5 mph with similar warning times. The production LDW systems could have prevented

  20. The early warning system of landslides and sediment runoffs using meteorological condition including rainfall-soil moisture index (Invited)

    Science.gov (United States)

    Kubota, T.; Silva, I. C.; Hasnawir, H.

    2009-12-01

    The research including observation of rain, soil moisture content and sediment discharge is conducted on a torrent in northern Kyushu whose geology consists of Paleozoic metamorphic rocks (mainly schist) and whose vegetation consists of mainly Japanese cypress and cedar. Soil depth is approximately 50cm in average and permeability k is 0.1~0.01 order. With data obtained by the observation for more than 4 years, standard rainfalls of warning and evacuation against the sudden sediment runoffs are analyzed. Then, the result was compared with the ones in Nuevo Leon Mexico (geology of schist, slate, k=0.01~0.001 order) and in southern Sulawesi Island Indonesia (volcanic geology, k=0.001~0.0001 order). Hitherto, various methods were proposed to analyze the warning critical standard for landslide disaster or large sediment discharge. In this study, we employed Hirano's element slope runoff theory, the Self Organized Criticality Assumption (SOC), and the Elementary Catastrophe Theory (ETC) to analyze the data, although the soil moisture fluctuation, meteorological condition such as upper air wind and dew point depression, the rainfall-soil moisture index provided by Japan Meteorological Agency was considered. The last one is a cutting edge technology based on the tank model calculation of soil moisture content combined with short term rainfall prediction which is a product of numerical simulation using radar image advection analysis compensated with surface rain data and with orographic rain effect. In Hirano's theory, we can describe the critical rain Rc and rain intensity Ric as following equation. Q/A/M/ cosθ = Ri ∫(r*cosθ)dt = Ri*R (1) ∴ Ric*Rc = C (2) Here, Q: sediment runoff or debris flow discharge, A: watershed area, M: function concerning with sediment deposit features on the upstream torrents or slopes (porosity, torrent bed slope gradient, sediment accumulation length and depth, cohesion), t: time, θ: torrent bed or hillside slope gradient, r: instant

  1. Surveillance and early warning systems of infectious disease in China: From 2012 to 2014.

    Science.gov (United States)

    Zhang, Honglong; Wang, Liping; Lai, Shengjie; Li, Zhongjie; Sun, Qiao; Zhang, Peng

    2017-07-01

    Appropriate surveillance and early warning of infectious diseases have very useful roles in disease control and prevention. In 2004, China established the National Notifiable Infectious Disease Surveillance System and the Public Health Emergency Event Surveillance System to report disease surveillance and events on the basis of data sources from the National Notifiable Infectious Disease Surveillance System, China Infectious Disease Automated-alert and Response System in this country. This study provided a descriptive summary and a data analysis, from 2012 to 2014, of these 3 key surveillance and early warning systems of infectious disease in China with the intent to provide suggestions for system improvement and perfection. Copyright © 2017 John Wiley & Sons, Ltd.

  2. Serious gaming for user centered innovation and adoption of disaster response information systems

    NARCIS (Netherlands)

    Meesters, Kenny; Van De Walle, Bartel A

    2014-01-01

    Global profusion of information technology has spawned a large and varied number of tools and systems to aid disaster responders in managing disaster-related information. To adequately study the conception, development and deployment of such tools and systems, the user and the operational context in

  3. Design of flood early warning system with wifi network based on smartphone

    Science.gov (United States)

    Supani, Ahyar; Andriani, Yuli; Taqwa, Ahmad

    2017-11-01

    Today, the development using internet of things enables activities surrounding us to be monitored, controlled, predicted and calculated remotely through connections to the internet network such as monitoring activities of long-distance flood warning with information technology. Applying an information technology in the field of flood early warning has been developed in the world, either connected to internet network or not. The internet network that has been done in this paper is the design of WiFi network to access data of rainfall, water level and flood status at any time with a smartphone coming from flood early warning system. The results obtained when test of data accessing with smartphone are in form of rainfall and water level graphs against time and flood status indicators consisting of 3 flood states: Standby 2, Standby 1 and Flood. It is concluded that data are from flood early warning system has been able to accessed and displayed on smartphone via WiFi network in any time and real time.

  4. Computational Psychometrics for Modeling System Dynamics during Stressful Disasters

    Directory of Open Access Journals (Sweden)

    Pietro Cipresso

    2017-08-01

    Full Text Available Disasters can be very stressful events. However, computational models of stress require data that might be very difficult to collect during disasters. Moreover, personal experiences are not repeatable, so it is not possible to collect bottom-up information when building a coherent model. To overcome these problems, we propose the use of computational models and virtual reality integration to recreate disaster situations, while examining possible dynamics in order to understand human behavior and relative consequences. By providing realistic parameters associated with disaster situations, computational scientists can work more closely with emergency responders to improve the quality of interventions in the future.

  5. Main components and characteristics of landslide early warning systems operational worldwide

    Science.gov (United States)

    Piciullo, Luca; Cepeda, José

    2017-04-01

    During the last decades the number of victims and economic losses due to natural hazards are dramatically increased worldwide. The reason can be mainly ascribed to climate changes and urbanization in areas exposed at high level of risk. Among the many mitigation measures available for reducing the risk to life related to natural hazards, early warning systems certainly constitute a significant cost-effective option available to the authorities in charge of risk management and governance. The aim is to help and protect populations exposed to natural hazards, reducing fatalities when major events occur. Landslide is one of the natural hazards addressed by early warning systems. Landslide early warning systems (LEWSs) are mainly composed by the following four components: set-up, correlation laws, decisional algorithm and warning management. Within this framework, the set-up includes all the preliminary actions and choices necessary for designing a LEWS, such as: the area covered by the system, the types of landslides and the monitoring instruments. The monitoring phase provides a series of important information on different variables, considered as triggering factors for landslides, in order to define correlation laws and thresholds. Then, a decisional algorithm is necessary for defining the: number of warning levels to be employed in the system, decision making procedures, and everything else system managers may need for issuing warnings in different warning zones. Finally the warning management is composed by: monitoring and warning strategy; communication strategy; emergency plan and, everything connected to the social sphere. Among LEWSs operational worldwide, two categories can be defined as a function of the scale of analysis: "local" and "territorial" systems. The scale of analysis influences several actions and aspects connected to the design and employment of the system, such as: the actors involved, the monitoring systems, type of landslide phenomena

  6. Disaster Management: AN Integral Part of Science & Technology System and Land Administration-Management System

    Science.gov (United States)

    Ghawana, T.; Zlatanova, S.

    2016-06-01

    Disaster management is a multidisciplinary field, which requires a general coordination approach as well as specialist approaches. Science and Technology system of a country allows to create policies and execution of technical inputs required which provide services for the specific types of disasters management. Land administration and management agencies, as the administrative and management bodies, focus more on the coordination of designated tasks to various agencies responsible for their dedicated roles. They get help from Scientific and technical inputs & policies which require to be implemented in a professional manner. The paper provides an example of such integration from India where these two systems complement each other with their dedicated services. Delhi, the Capital of India, has such a disaster management system which has lot of technical departments of government which are mandated to provide their services as Emergency Service Functionaries. Thus, it is shown that disaster management is a job which is an integral part of Science & Technology system of a country while being implemented primarily with the help of land administration and management agencies. It is required that new policies or mandates for the Science and technology organizations of government should give a primary space to disaster management

  7. Nationwide Operational Assessment of Hazards and success stories in disaster prevention and mitigation in the Philippines

    Science.gov (United States)

    Mahar Francisco Lagmay, Alfredo

    2016-04-01

    The Philippines, being a locus of typhoons, tsunamis, earthquakes, and volcanic eruptions, is a hotbed of disasters. Natural hazards inflict loss of lives and costly damage to property in the country. In 2011, after tropical storm Washi devastated cities in southern Philippines, the Department of Science and Technology put in place a responsive program to warn and give communities hours-in-advance lead-time to prepare for imminent hazards and use advanced science and technology to enhance geohazard maps for more effective disaster prevention and mitigation. Since its launch, there have been many success stories on the use of Project NOAH, which after Typhoon Haiyan was integrated into the Pre-Disaster Risk Assessment (PDRA) system of the National Disaster Risk Reduction and Management Council (NDRRMC), the government agency tasked to prepare for, and respond to, natural calamities. Learning from past disasters, NDRRMC now issues warnings, through scientific advise from DOST-Project NOAH and PAGASA (Philippine Weather Bureau) that are hazards-specific, area-focused and time-bound. Severe weather events in 2015 generated dangerous hazard phenomena such as widespread floods and massive debris flows, which if not for timely, accessible and understandable warnings, could have turned into disasters. We call these events as "disasters that did not happen". The innovative warning system of the Philippine government has so far proven effective in addressing the impacts of hydrometeorological hazards and can be employed elsewhere in the world.

  8. Early warning systems of financial crises: implementation of a currency crisis model for Uganda

    OpenAIRE

    Heun, Michael; Schlink, Torsten

    2004-01-01

    The objective of this paper is to implement a prototype of a currency crisis model as part of an early warning system framework for Uganda. The financial systems of developing countries like Uganda are especially vulnerable and therefore robust instruments to predict crises are needed. Our model is based on the signals approach developed by Kaminsky, Lizondo and Reinhart (1998) and Kaminsky and Reinhart (1999). The basic idea of the signals approach is to monitor several indicators that tend ...

  9. An Accurate Gaussian Process-Based Early Warning System for Dengue Fever

    OpenAIRE

    Albinati, Julio; Meira Jr, Wagner; Pappa, Gisele Lobo

    2016-01-01

    Dengue fever is a mosquito-borne disease present in all Brazilian territory. Brazilian government, however, lacks an accurate early warning system to quickly predict future dengue outbreaks. Such system would help health authorities to plan their actions and to reduce the impact of the disease in the country. However, most attempts to model dengue fever use parametric models which enforce a specific expected behaviour and fail to capture the inherent complexity of dengue dynamics. Therefore, ...

  10. Design and implementation of smart sensor nodes for wireless disaster monitoring systems

    Science.gov (United States)

    Chen, Yih-Fan; Wu, Wen-Jong; Chen, Chun-Kuang; Wen, Chih-Min; Jin, Ming-Hui; Gau, Chung-Yun; Chang, Chih-Chie; Lee, Chih-Kung

    2004-07-01

    A newly developed smart sensor node that can monitor the safety of temporary structures such as scaffolds at construction sites is detailed in this paper. The design methodology and its trade-offs, as well as its influence on the optimization of sensor networks, is examined. The potential impact on civil engineering construction sites, environmental and natural disaster pre-warning issues, etc., all of which are foundations of smart sensor nodes and corresponding smart sensor networks, is also presented. To minimize the power requirements in order to achieve a true wireless system both in terms of signal and power, a sensor node was designed by adopting an 8051-based micro-controller, an ISM band RF transceiver, and an auto-balanced strain gage signal conditioner. With the built-in RF transceiver, all measurement data can be transmitted to a local control center for data integrity, security, central monitoring, and full-scale analysis. As a battery is the only well-established power source and there is a strong desire to eliminate the need to install bulky power lines, this system designed includes a battery-powered core with optimal power efficiency. To further extend the service life of the built-in power source, a power control algorithm has been embedded in the microcontroller of each sensor node. The entire system has been verified by experimental tests on full-scale scaffold monitoring. The results show that this system provides a practical method to monitor the structure safety in real time and possesses the potential of reducing maintenance costs significantly. The design of the sensor node, central control station, and the integration of several kinds of wireless communication protocol, all of which are successfully integrated to demonstrate the capabilities of this newly developed system, are detailed. Potential impact to the network topology is briefly examined as well.

  11. Art of disaster preparedness in European union: a survey on the health systems.

    Science.gov (United States)

    Djalali, Ahmadreza; Della Corte, Francesco; Foletti, Marco; Ragazzoni, Luca; Ripoll Gallardo, Alba; Lupescu, Olivera; Arculeo, Chris; von Arnim, Götz; Friedl, Tom; Ashkenazi, Michael; Fischer, Philipp; Hreckovski, Boris; Khorram-Manesh, Amir; Komadina, Radko; Lechner, Konstanze; Patru, Cristina; Burkle, Frederick M; Ingrassia, Pier Luigi

    2014-12-17

    Naturally occurring and man-made disasters have been increasing in the world, including Europe, over the past several decades. Health systems are a key part of any community disaster management system. The success of preparedness and prevention depends on the success of activities such as disaster planning, organization and training. The aim of this study is to evaluate health system preparedness for disasters in the 27 European Union member countries. A cross-sectional analysis study was completed between June-September 2012. The checklist used for this survey was a modified from the World Health Organization toolkit for assessing health-system capacity for crisis management. Three specialists from each of the 27 European Union countries were included in the survey. Responses to each survey question were scored and the range of preparedness level was defined as 0-100%, categorized in three levels as follows: Acceptable; Transitional; or Insufficient. Response rate was 79.1%. The average level of disaster management preparedness in the health systems of 27 European Union member states was 68% (Acceptable). The highest level of preparedness was seen in the United Kingdom, Luxemburg, and Lithuania. Considering the elements of disaster management system, the highest level of preparedness score was at health information elements (86%), and the lowest level was for hospitals, and educational elements (54%). This survey study suggests that preparedness level of European Union countries in 2012 is at an acceptable level but could be improved. Elements such as hospitals and education and training suffer from insufficient levels of preparedness. The European Union health systems need a collective strategic plan, as well as enough resources, to establish a comprehensive and standardized disaster management strategy plan. A competency based training curriculum for managers and first responders is basic to accomplishing this goal. Disaster medicine; Disaster preparedness

  12. Food Security, Decision Making and the Use of Remote Sensing in Famine Early Warning Systems

    Science.gov (United States)

    Brown, Molly E.

    2008-01-01

    Famine early warning systems use remote sensing in combination with socio-economic and household food economy analysis to provide timely and rigorous information on emerging food security crises. The Famine Early Warning Systems Network (FEWS NET) is the US Agency for International Development's decision support system in 20 African countries, as well as in Guatemala, Haiti and Afghanistan. FEWS NET provides early and actionable policy guidance for the US Government and its humanitarian aid partners. As we move into an era of climate change where weather hazards will become more frequent and severe, understanding how to provide quantitative and actionable scientific information for policy makers using biophysical data is critical for an appropriate and effective response.

  13. Proposal of secure camera-based radiation warning system for nuclear detection

    International Nuclear Information System (INIS)

    Tsuchiya, Ken'ichi; Kurosawa, Kenji; Akiba, Norimitsu; Kakuda, Hidetoshi; Imoto, Daisuke; Hirabayashi, Manato; Kuroki, Kenro

    2016-01-01

    Counter-terrorisms against radiological and nuclear threat are significant issues toward Tokyo 2020 Olympic and Paralympic Games. In terms of cost benefit, it is not easy to build a warning system for nuclear detection to prevent a Dirty Bomb attack (dispersion of radioactive materials using a conventional explosive) or a Silent Source attack (hidden radioactive materials) from occurring. We propose a nuclear detection system using the installed secure cameras. We describe a method to estimate radiation dose from noise pattern in CCD images caused by radiation. Some dosimeters under neutron and gamma-ray irradiations (0.1mSv-100mSv) were taken in CCD video camera. We confirmed amount of noise in CCD images increased in radiation exposure. The radiation detection using CMOS in secure cameras or cell phones has been implemented. However, in this presentation, we propose a warning system including neutron detection to search shielded nuclear materials or radiation exposure devices using criticality. (author)

  14. Utility of temporary aftershock warning system in the immediate aftermath of large damaging earthquakes

    International Nuclear Information System (INIS)

    Harben, P.E.; Jarpe, S.P.; Hunter, S.; Johnston, C.A.

    1993-01-01

    An aftershock warning system (AWS) is a real-time warning system that is deployed immediately after a large damaging earthquake in the epicentral region of the main shock. The primary purpose of such a system is to warn rescue teams and workers within damaged structures of imminent destructive shaking. The authors have examined the utility of such a system (1) by evaluating historical data, and (2) by developing and testing a prototype system during the 1992 Landers, California, aftershock sequence. Analyzing historical data is important in determining when and where damaging aftershocks are likely to occur and the probable usefulness of an AWS in a particular region. As part of this study, they analyzed the spatial and temporal distribution of large (magnitude >5.0) aftershocks from earthquakes with magnitudes >6.0 that took place between 1942 and 1991 in California and Nevada. They found that one-quarter of these large aftershocks occurred from 2 days-2 months after the main event, nearly one-half occurred within the first two days of the main event, and greater than one-half occurred within 20 km of the main shock's epicenter. They also reviewed a case study of the 1985 Mexico City earthquake, which showed that an AWS could have given Mexico City a warning of ∼60 sec before the magnitude 7.6 aftershock that occurred 36 hr. after the main event. They deployed a four-station prototype AWS near Landers after a magnitude 7.4 earthquake occurred on June 28, 1992. The aftershock data, collected from July 3-10, showed that the aftershocks in the vicinity of the four stations varied in magnitude from 3.0-4.4. Using a two-station detection criterion to minimize false alarms, this AWS reliably discriminated between smaller and larger aftershocks within 3 sec of the origin time of the events. This prototype could have provided 6 sec of warning to Palm Springs and 20 sec of warning to San Bernardino of aftershocks occurring in the main-shock epicentral region

  15. Development of an Earthquake Early Warning System Using Real-Time Strong Motion Signals.

    Science.gov (United States)

    Wu, Yih-Min; Kanamori, Hiroo

    2008-01-09

    As urbanization progresses worldwide, earthquakes pose serious threat to livesand properties for urban areas near major active faults on land or subduction zonesoffshore. Earthquake Early Warning (EEW) can be a useful tool for reducing earthquakehazards, if the spatial relation between cities and earthquake sources is favorable for suchwarning and their citizens are properly trained to respond to earthquake warning messages.An EEW system forewarns an urban area of forthcoming strong shaking, normally with afew sec to a few tens of sec of warning time, i.e., before the arrival of the destructive Swavepart of the strong ground motion. Even a few second of advanced warning time willbe useful for pre-programmed emergency measures for various critical facilities, such asrapid-transit vehicles and high-speed trains to avoid potential derailment; it will be alsouseful for orderly shutoff of gas pipelines to minimize fire hazards, controlled shutdown ofhigh-technological manufacturing operations to reduce potential losses, and safe-guardingof computer facilities to avoid loss of vital databases. We explored a practical approach toEEW with the use of a ground-motion period parameter τc and a high-pass filtered verticaldisplacement amplitude parameter Pd from the initial 3 sec of the P waveforms. At a givensite, an earthquake magnitude could be determined from τ c and the peak ground-motionvelocity (PGV) could be estimated from Pd. In this method, incoming strong motion acceleration signals are recursively converted to ground velocity and displacement. A Pwavetrigger is constantly monitored. When a trigger occurs, τ c and Pd are computed. Theearthquake magnitude and the on-site ground-motion intensity could be estimated and thewarning could be issued. In an ideal situation, such warnings would be available within 10sec of the origin time of a large earthquake whose subsequent ground motion may last fortens of seconds.

  16. Development of an Earthquake Early Warning System Using Real-Time Strong Motion Signals

    Directory of Open Access Journals (Sweden)

    Hiroo Kanamori

    2008-01-01

    Full Text Available As urbanization progresses worldwide, earthquakes pose serious threat to livesand properties for urban areas near major active faults on land or subduction zonesoffshore. Earthquake Early Warning (EEW can be a useful tool for reducing earthquakehazards, if the spatial relation between cities and earthquake sources is favorable for suchwarning and their citizens are properly trained to respond to earthquake warning messages.An EEW system forewarns an urban area of forthcoming strong shaking, normally with afew sec to a few tens of sec of warning time, i.e., before the arrival of the destructive Swavepart of the strong ground motion. Even a few second of advanced warning time willbe useful for pre-programmed emergency measures for various critical facilities, such asrapid-transit vehicles and high-speed trains to avoid potential derailment; it will be alsouseful for orderly shutoff of gas pipelines to minimize fire hazards, controlled shutdown ofhigh-technological manufacturing operations to reduce potential losses, and safe-guardingof computer facilities to avoid loss of vital databases. We explored a practical approach toEEW with the use of a ground-motion period parameter τc and a high-pass filtered verticaldisplacement amplitude parameter Pd from the initial 3 sec of the P waveforms. At a givensite, an earthquake magnitude could be determined from τc and the peak ground-motionvelocity (PGV could be estimated from Pd. In this method, incoming strong motion acceleration signals are recursively converted to ground velocity and displacement. A Pwavetrigger is constantly monitored. When a trigger occurs, τc and Pd are computed. Theearthquake magnitude and the on-site ground-motion intensity could be estimated and thewarning could be issued. In an ideal situation, such warnings would be available within 10sec of the origin time of a large earthquake whose subsequent ground motion may last fortens of seconds.

  17. Development of a Low Cost Earthquake Early Warning System in Taiwan

    Science.gov (United States)

    Wu, Y. M.

    2017-12-01

    The National Taiwan University (NTU) developed an earthquake early warning (EEW) system for research purposes using low-cost accelerometers (P-Alert) since 2010. As of 2017, a total of 650 stations have been deployed and configured. The NTU system can provide earthquake information within 15 s of an earthquake occurrence. Thus, this system may provide early warnings for cities located more than 50 km from the epicenter. Additionally, the NTU system also has an onsite alert function that triggers a warning for incoming P-waves greater than a certain magnitude threshold, thus providing a 2-3 s lead time before peak ground acceleration (PGA) for regions close to an epicenter. Detailed shaking maps are produced by the NTU system within one or two minutes after an earthquake. Recently, a new module named ShakeAlarm has been developed. Equipped with real-time acceleration signals and the time-dependent anisotropic attenuation relationship of the PGA, ShakingAlarm can provide an accurate PGA estimation immediately before the arrival of the observed PGA. This unique advantage produces sufficient lead time for hazard assessment and emergency response, which is unavailable for traditional shakemap, which are based on only the PGA observed in real time. The performance of ShakingAlarm was tested with six M > 5.5 inland earthquakes from 2013 to 2016. Taking the 2016 M6.4 Meinong earthquake simulation as an example, the predicted PGA converges to a stable value and produces a predicted shake map and an isocontour map of the predicted PGA within 16 seconds of earthquake occurrence. Compared with traditional regional EEW system, ShakingAlarm can effectively identify possible damage regions and provide valuable early warning information (magnitude and PGA) for risk mitigation.

  18. Warning Triggers in Environmental Hazards: Who Should Be Warned to Do What and When?

    Science.gov (United States)

    Cova, Thomas J; Dennison, Philip E; Li, Dapeng; Drews, Frank A; Siebeneck, Laura K; Lindell, Michael K

    2017-04-01

    Determining the most effective public warnings to issue during a hazardous environmental event is a complex problem. Three primary questions need to be answered: Who should take protective action? What is the best action? and When should this action be initiated? Warning triggers provide a proactive means for emergency managers to simultaneously answer these questions by recommending that a target group take a specified protective action if a preset environmental trigger condition occurs (e.g., warn a community to evacuate if a wildfire crosses a proximal ridgeline). Triggers are used to warn the public across a wide variety of environmental hazards, and an improved understanding of their nature and role promises to: (1) advance protective action theory by unifying the natural, built, and social themes in hazards research into one framework, (2) reveal important information about emergency managers' risk perception, situational awareness, and threat assessment regarding threat behavior and public response, and (3) advance spatiotemporal models for representing the geography and timing of disaster warning and response (i.e., a coupled natural-built-social system). We provide an overview and research agenda designed to advance our understanding and modeling of warning triggers. © 2016 Society for Risk Analysis.

  19. PRESSCA: A regional operative Early Warning System for landslides risk scenario assessment

    Science.gov (United States)

    Ponziani, Francesco; Stelluti, Marco; Berni, Nicola; Brocca, Luca; Moramarco, Tommaso

    2013-04-01

    The Italian national alert system for the hydraulic and hydrogeological risk is ensured by the National Civil Protection Department, through the "Functional Centres" Network, together with scientific/technical Support Centres, named "Competence Centres". The role of the Functional Centres is to alert regional/national civil protection network, to manage the prediction and the monitoring phases, thus ensuring the flow of data for the management of the emergency. The Umbria regional alerting procedure is based on three increasing warning levels of criticality for 6 sub-areas (~1200 km²). Specifically, for each duration (from 1 to 48 hours), three criticality levels are assigned to the rainfall values corresponding to a recurrence interval of 2, 5, and 10 years. In order to improve confidence on the daily work for hydrogeological risk assessment and management, a simple and operational early warning system for the prediction of shallow landslide triggering on regional scale was implemented. The system is primarily based on rainfall thresholds, which represent the main element of evaluation for the early-warning procedures of the Italian Civil Protection system. Following previous studies highlighting that soil moisture conditions play a key role on landslide triggering, a continuous physically-based soil water balance model was implemented for the estimation of soil moisture conditions over the whole regional territory. In fact, a decreasing trend between the cumulated rainfall values over 24, 36 and 48 hours and the soil moisture conditions prior to past landslide events was observed. This trend provides an easy-to-use tool to dynamically adjust the operational rainfall thresholds with the soil moisture conditions simulated by the soil water balance model prior to rainfall events. The application of this procedure allowed decreasing the uncertainties tied to the application of the rainfall thresholds only. The system is actually operational in real-time and it was

  20. Prototype Early Warning Fire Detection System: Test Series 4 Results

    National Research Council Canada - National Science Library

    Gottuk, Daniel

    2002-01-01

    .... The use of multiple sensors and the Probabilistic Neural Networks alarm algorithm in the EWFD system resulted in improved performance compared to only an ionization or photoelectric smoke detector...

  1. Assessing Financial System Vulnerabilities: An Early Warning Approach

    OpenAIRE

    Gurnain Pasricha; Tom Roberts; Ian Christensen; Brad Howell

    2013-01-01

    This article focuses on a quantitative method to identify financial system vulnerabilities, specifically, an imbalance indicator model (IIM) and its application to Canada. An IIM identifies potential vulnerabilities in a financial system by comparing current economic and financial data with data from periods leading up to past episodes of financial stress. It complements other sources of information - including market intelligence and regular monitoring of the economy - that policy-makers use...

  2. An archival analysis of stall warning system effectiveness during airborne icing encounters

    Science.gov (United States)

    Maris, John Michael

    An archival study was conducted to determine the influence of stall warning system performance on aircrew decision-making outcomes during airborne icing encounters. A Conservative Icing Response Bias (CIRB) model was developed to explain the historical variability in aircrew performance in the face of airframe icing. The model combined Bayes' Theorem with Signal Detection Theory (SDT) concepts to yield testable predictions that were evaluated using a Binary Logistic Regression (BLR) multivariate technique applied to two archives: the NASA Aviation Safety Reporting System (ASRS) incident database, and the National Transportation Safety Board (NTSB) accident databases, both covering the period January 1, 1988 to October 2, 2015. The CIRB model predicted that aircrew would experience more incorrect response outcomes in the face of missed stall warnings than with stall warning False Alarms. These predicted outcomes were observed at high significance levels in the final sample of 132 NASA/NTSB cases. The CIRB model had high sensitivity and specificity, and explained 71.5% (Nagelkerke R2) of the variance of aircrew decision-making outcomes during the icing encounters. The reliability and validity metrics derived from this study suggest indicate that the findings are generalizable to the population of U.S. registered turbine-powered aircraft. These findings suggest that icing-related stall events could be reduced if the incidence of stall warning Misses could be minimized. Observed stall warning Misses stemmed from three principal causes: aerodynamic icing effects, which reduced the stall angle-of-attack (AoA) to below the stall warning calibration threshold; tail stalls, which are not monitored by contemporary protection systems; and icing-induced system issues (such as frozen pitot tubes), which compromised stall warning system effectiveness and airframe envelope protections. Each of these sources of missed stall warnings could be addressed by Aerodynamic Performance

  3. Application of a multi-channel system for continuous monitoring and an early warning system.

    Science.gov (United States)

    Lee, J H; Song, C H; Kim, B C; Gu, M B

    2006-01-01

    A multi-channel continuous toxicity monitoring system developed in our laboratory, based on two-stage mini-bioreactors, was successfully implemented in the form of computer-based data acquisition. The multi-channel system consists of a series of a two-stage minibioreactor systems connected by a fiber optic probe to a luminometer, and uses genetically engineered bioluminescent bacteria for the detection of the potential toxicity from the soluble chemicals. This system can be stably and continuously operated due to the separation of the culture reactor from the test reactor and accomplish easy and long-term monitoring without system shut down by abrupt inflows of severe polluting chemicals. Four different recombinant bioluminescent bacteria were used in different channels so that the modes of the samples toxicities can be reasonably identified and evaluated based upon the response signature of each channel. The bioluminescent signatures were delivered from four channels by switching one at once, while the data is automatically logged to an IBM compatible computer. We also achieved the enhancement of the system through the manipulation of the dilution rate and the use of thermo-lux fusion strains. Finally, this system is now being implemented to a drinking water reservoir and river for remote sensing as an early warning system.

  4. Earthquake Early Warning ShakeAlert System: Testing and certification platform

    Science.gov (United States)

    Cochran, Elizabeth S.; Kohler, Monica D.; Given, Douglas; Guiwits, Stephen; Andrews, Jennifer; Meier, Men-Andrin; Ahmad, Mohammad; Henson, Ivan; Hartog, Renate; Smith, Deborah

    2017-01-01

    Earthquake early warning systems provide warnings to end users of incoming moderate to strong ground shaking from earthquakes. An earthquake early warning system, ShakeAlert, is providing alerts to beta end users in the western United States, specifically California, Oregon, and Washington. An essential aspect of the earthquake early warning system is the development of a framework to test modifications to code to ensure functionality and assess performance. In 2016, a Testing and Certification Platform (TCP) was included in the development of the Production Prototype version of ShakeAlert. The purpose of the TCP is to evaluate the robustness of candidate code that is proposed for deployment on ShakeAlert Production Prototype servers. TCP consists of two main components: a real‐time in situ test that replicates the real‐time production system and an offline playback system to replay test suites. The real‐time tests of system performance assess code optimization and stability. The offline tests comprise a stress test of candidate code to assess if the code is production ready. The test suite includes over 120 events including local, regional, and teleseismic historic earthquakes, recentering and calibration events, and other anomalous and potentially problematic signals. Two assessments of alert performance are conducted. First, point‐source assessments are undertaken to compare magnitude, epicentral location, and origin time with the Advanced National Seismic System Comprehensive Catalog, as well as to evaluate alert latency. Second, we describe assessment of the quality of ground‐motion predictions at end‐user sites by comparing predicted shaking intensities to ShakeMaps for historic events and implement a threshold‐based approach that assesses how often end users initiate the appropriate action, based on their ground‐shaking threshold. TCP has been developed to be a convenient streamlined procedure for objectively testing algorithms, and it has

  5. Computerized control and warning system for uranium mines

    International Nuclear Information System (INIS)

    Sheeran, C.T.; Franklin, J.C.

    1982-01-01

    A commercially available microprocessor-based system capable of monitoring 512 channels has been interfaced with monitors for radon, working level, air velocity, and fan power. The basic system utilizes both Z80 and 8080 microprocessors in a desktop central processing unit (CPU). CPU hardware includes keyboard, video display (CRT), and disk drive; a printer is used to keep permanent data records. Signals from all channels are transmitted to the computer in digital form where they are processed for alarm status. Software developed for the system allows for audiovisual alarms in the event of low and high readings, rate change, change of state, or communication failure. Up to six channels can be continuously displayed on the CRT for current readings. Shift reports and trend logs may be generated to help the ventilation engineer determine average working levels and ventilation effectiveness. Additional software permits the operator to program command sequencies which may be used to automatically restart fans after a power outage

  6. Open Source Seismic Software in NOAA's Next Generation Tsunami Warning System

    Science.gov (United States)

    Hellman, S. B.; Baker, B. I.; Hagerty, M. T.; Leifer, J. M.; Lisowski, S.; Thies, D. A.; Donnelly, B. K.; Griffith, F. P.

    2014-12-01

    The Tsunami Information technology Modernization (TIM) is a project spearheaded by National Oceanic and Atmospheric Administration to update the United States' Tsunami Warning System software currently employed at the Pacific Tsunami Warning Center (Eva Beach, Hawaii) and the National Tsunami Warning Center (Palmer, Alaska). This entirely open source software project will integrate various seismic processing utilities with the National Weather Service Weather Forecast Office's core software, AWIPS2. For the real-time and near real-time seismic processing aspect of this project, NOAA has elected to integrate the open source portions of GFZ's SeisComP 3 (SC3) processing system into AWIPS2. To provide for better tsunami threat assessments we are developing open source tools for magnitude estimations (e.g., moment magnitude, energy magnitude, surface wave magnitude), detection of slow earthquakes with the Theta discriminant, moment tensor inversions (e.g. W-phase and teleseismic body waves), finite fault inversions, and array processing. With our reliance on common data formats such as QuakeML and seismic community standard messaging systems, all new facilities introduced into AWIPS2 and SC3 will be available as stand-alone tools or could be easily integrated into other real time seismic monitoring systems such as Earthworm, Antelope, etc. Additionally, we have developed a template based design paradigm so that the developer or scientist can efficiently create upgrades, replacements, and/or new metrics to the seismic data processing with only a cursory knowledge of the underlying SC3.

  7. A holistic approach to SIM platform and its application to early-warning satellite system

    Science.gov (United States)

    Sun, Fuyu; Zhou, Jianping; Xu, Zheyao

    2018-01-01

    This study proposes a new simulation platform named Simulation Integrated Management (SIM) for the analysis of parallel and distributed systems. The platform eases the process of designing and testing both applications and architectures. The main characteristics of SIM are flexibility, scalability, and expandability. To improve the efficiency of project development, new models of early-warning satellite system were designed based on the SIM platform. Finally, through a series of experiments, the correctness of SIM platform and the aforementioned early-warning satellite models was validated, and the systematical analyses for the orbital determination precision of the ballistic missile during its entire flight process were presented, as well as the deviation of the launch/landing point. Furthermore, the causes of deviation and prevention methods will be fully explained. The simulation platform and the models will lay the foundations for further validations of autonomy technology in space attack-defense architecture research.

  8. Famine Early Warning Systems and Their Use of Satellite Remote Sensing Data

    Science.gov (United States)

    Brown, Molly E.; Essam, Timothy; Leonard, Kenneth

    2011-01-01

    Famine early warning organizations have experience that has much to contribute to efforts to incorporate climate and weather information into economic and political systems. Food security crises are now caused almost exclusively by problems of food access, not absolute food availability, but the role of monitoring agricultural production both locally and globally remains central. The price of food important to the understanding of food security in any region, but it needs to be understood in the context of local production. Thus remote sensing is still at the center of much food security analysis, along with an examination of markets, trade and economic policies during food security analyses. Technology including satellite remote sensing, earth science models, databases of food production and yield, and modem telecommunication systems contributed to improved food production information. Here we present an econometric approach focused on bringing together satellite remote sensing and market analysis into food security assessment in the context of early warning.

  9. Administrative issues involved in disaster management in India.

    Science.gov (United States)

    Kaur, Jagdish

    2006-12-01

    India as a country is vulnerable to a number of disasters, from earthquakes to floods. Poor and weaker members of the society have always been more vulnerable to various types of disasters. Disasters result in unacceptably high morbidity and mortality amongst the affected population. Damage to infrastructure and reduction in revenues from the affected region due to low yield add to the economic losses. Poor co-ordination at the local level, lack of early-warning systems, often very slow responses, paucity of trained dedicated clinicians, lack of search and rescue facilities and poor community empowerment are some of the factors, which have been contributing to poor response following disasters in the past. The first formal step towards development of policies relating to disaster care in India was the formulation of the National Disaster Response Plan (NDRP) which was formulated initially by the Government of India for managing natural disasters only. However, this was subsequently amended to include man-made disasters as well. It sets the scene for formulating state and district level plans in all states to bring cohesiveness and a degree of uniform management in dealing with disasters. A National Disaster Management Authority has been constituted which aims to provide national guidelines and is headed by the Prime Minister of India. It is the highest decision-making body for the management of disasters in the country. The authority has the responsibility for co-ordinating response and post-disaster relief and rehabilitation. Each state is required to set up Disaster Management Authorities and District Disaster Management Committees for co-ordination and close supervision of activities and efforts related to the management of disasters.

  10. Experiences on the development of a Community Based Early Warning System for mountain risks in northern Italy

    Science.gov (United States)

    Garcia, Carolina; Sterlacchini, Simone; de Amicis, Mattia; Fontana, Michele; Trozzi, Arianna; Frigerio, Ivan

    2010-05-01

    In the framework of the European project Mountain Risks (http://mountain-risks.eu/), one of the projects currently developed is a methodology to integrate risk management and evacuation emergency plans, focused on prevention as a key element for disaster risk reduction, applied in the Mountain Community Valtellina of Tirano, an area recurrently affected by several mountain hazards. Taking into account the actual state of disaster risk reduction initiatives in the study area, including the existence of a real time emergency plan based on GIS (Geographical Information Systems), DSS (Decision Support Systems), and ICT (Information & Communication Technology), but knowing the lack involvement of the general community in any of the preparation activities developed until the present and the lack of divulgation of the current emergency plan, it was decided that the methodology that could better adapt to the actual conditions of the study area would be a non structural Community Based Early Warning System (CBEWS). A CBEWS has been recognized by institutions as the UN and the INSDR, as an effective and important strategy for disaster risk reduction. This strategy is broadly used especially in developing countries and has proved its effectiveness in many disasters crisis all over the world. In spite of that, possibly for political and social reasons, there are really few applications of CBEWS in developed countries which has made the elaboration of this research project a particularly difficult process due to the lack of previous references with similar conditions to the one in the study area. Difficulties related to any multidisciplinary work which also involves the general community have been faced during the development of the project such as the differences in language (both the technical jargon of the different disciplines and the native language), time restrictions, the process of learning and adapting to different social structures, the process of contacting several

  11. Forecast-based Integrated Flood Detection System for Emergency Response and Disaster Risk Reduction (Flood-FINDER)

    Science.gov (United States)

    Arcorace, Mauro; Silvestro, Francesco; Rudari, Roberto; Boni, Giorgio; Dell'Oro, Luca; Bjorgo, Einar

    2016-04-01

    Most flood prone areas in the globe are mainly located in developing countries where making communities more flood resilient is a priority. Despite different flood forecasting initiatives are now available from academia and research centers, what is often missing is the connection between the timely hazard detection and the community response to warnings. In order to bridge the gap between science and decision makers, UN agencies play a key role on the dissemination of information in the field and on capacity-building to local governments. In this context, having a reliable global early warning system in the UN would concretely improve existing in house capacities for Humanitarian Response and the Disaster Risk Reduction. For those reasons, UNITAR-UNOSAT has developed together with USGS and CIMA Foundation a Global Flood EWS called "Flood-FINDER". The Flood-FINDER system is a modelling chain which includes meteorological, hydrological and hydraulic models that are accurately linked to enable the production of warnings and forecast inundation scenarios up to three weeks in advance. The system is forced with global satellite derived precipitation products and Numerical Weather Prediction outputs. The modelling chain is based on the "Continuum" hydrological model and risk assessments produced for GAR2015. In combination with existing hydraulically reconditioned SRTM data and 1D hydraulic models, flood scenarios are derived at multiple scales and resolutions. Climate and flood data are shared through a Web GIS integrated platform. First validation of the modelling chain has been conducted through a flood hindcasting test case, over the Chao Phraya river basin in Thailand, using multi temporal satellite-based analysis derived for the exceptional flood event of 2011. In terms of humanitarian relief operations, the EO-based services of flood mapping in rush mode generally suffer from delays caused by the time required for their activation, programming, acquisitions and

  12. Global Drought Services: Collaborations Toward an Information System for Early Warning

    Science.gov (United States)

    Hayes, M. J.; Pulwarty, R. S.; Svoboda, M.

    2014-12-01

    Drought is a hazard that lends itself well to diligent, sustained monitoring and early warning. However, unlike most hazards, the fact that droughts typically evolve slowly, can last for months or years and cover vast areas spanning multiple political boundaries/jurisdictions and economic sectors can make it a daunting task to monitor, develop plans for, and identify appropriate, proactive mitigation strategies. The National Drought Mitigation Center (NDMC) and National Integrated Drought Information System (NIDIS) have been working together to reduce societal vulnerability to drought by helping decision makers at all levels to: 1) implement drought early warning/forecasting and decision support systems; 2) support and advocate for better collection of, and understanding of drought impacts; and 3) increase long-term resilience to drought through proactive planning. The NDMC and NIDIS risk management approach has been the basis from which many partners around the world are developing a collaboration and coordination nexus with an ultimate goal of building comprehensive global drought early warning information systems (GDEWIS). The core emphasis of this model is on developing and applying useful and usable information that can be integrated and transferred freely to other regions around the globe. The High-Level Ministerial Declaration on Drought, the Integrated Drought Management Programme (IDMP) co-led by the WMO and the Global Water Partnership (GWP), and the Global Framework for Climate Services are drawing extensively from the integrated NDMC-NIDIS risk management framework. This presentation will describe, in detail, the various drought resources, tools, services, and collaborations already being provided and undertaken at the national and regional scales by the NDMC, NIDIS, and their partners. The presentation will be forward-looking, identifying improvements in existing and proposed mechanisms to help strengthen national and international drought early

  13. Strengthening Laboratory Capacity for Early Warning Alert and Response System (EWARS) in Indonesia

    OpenAIRE

    Kandel, Nirmal; Hapsari, Ratna Budi; Riana, Dyah Armi; Setiawaty, Vivi; Larasati, Wita; Wulandari, Endang; Purwanto, Edy

    2017-01-01

    Background: Establishment of Early Warning Alert and Response System (EWARS) in Indonesia was initiated since 2009 in few selected provinces and government was planning to roll out in other provinces. Before initiating this roll out the assessment of performance of EWARS in 2012 was conducted. The aim of the assessment is to strengthen laboratory for supporting to EWARS for alerts testing. Methods: Laboratory capacity mapping tool and laboratory algorithm for twenty two priority diseases of ...

  14. The Ex Hoc Infrastructure - Enhancing Traffic Safety through LIfe WArning Systems

    DEFF Research Database (Denmark)

    Hansen, Klaus Marius; Kristensen, Lars Michael; Eskildsen, Toke

    2004-01-01

    New pervasive computing technologies for sensing and communication open up novel possibilities for enhancing traffic safety. We are currently designing and implementing the Ex Hoc infrastructure framework for communication among mobile and stationary units including vehicles. The infrastructure...... will connect sensing devices on vehicles with sensing devices on other vehicles and with stationary communication units placed alongside roads. The current application of Ex Hoc is to enable the collection and dissemination of information on road condition through LIfe Warning Systems (LIWAS) units....

  15. Distributed Event Detection in Wireless Sensor Networks for Disaster Management

    NARCIS (Netherlands)

    Bahrepour, M.; Meratnia, Nirvana; Poel, Mannes; Taghikhaki, Zahra; Havinga, Paul J.M.

    2010-01-01

    Recently, wireless sensor networks (WSNs) have become mature enough to go beyond being simple fine-grained continuous monitoring platforms and become one of the enabling technologies for disaster early-warning systems. Event detection functionality of WSNs can be of great help and importance for

  16. A new warning system for fires of electrical origin

    International Nuclear Information System (INIS)

    Pietersen, A.H.

    1977-01-01

    The method described enables overheating to be detected at the incipient stage of a five. Freon-filled microcapsules are applied in the form of powder or paint to the surfaces being monitored. The microcapsules burst at a given temperature and the released freon can be sensed by halogen detectors coupled to the normal smoke-detector system. Alternatively, the noise of the bursting microcapsules can be simply detected by microphones. (Auth.)

  17. A Mobile Device System for Early Warning of ECG Anomalies

    Directory of Open Access Journals (Sweden)

    Adam Szczepański

    2014-06-01

    Full Text Available With the rapid increase in computational power of mobile devices the amount of ambient intelligence-based smart environment systems has increased greatly in recent years. A proposition of such a solution is described in this paper, namely real time monitoring of an electrocardiogram (ECG signal during everyday activities for identification of life threatening situations. The paper, being both research and review, describes previous work of the authors, current state of the art in the context of the authors’ work and the proposed aforementioned system. Although parts of the solution were described in earlier publications of the authors, the whole concept is presented completely for the first time along with the prototype implementation on mobile device—a Windows 8 tablet with Modern UI. The system has three main purposes. The first goal is the detection of sudden rapid cardiac malfunctions and informing the people in the patient’s surroundings, family and friends and the nearest emergency station about the deteriorating health of the monitored person. The second goal is a monitoring of ECG signals under non-clinical conditions to detect anomalies that are typically not found during diagnostic tests. The third goal is to register and analyze repeatable, long-term disturbances in the regular signal and finding their patterns.

  18. Near real-time GPS applications for tsunami early warning systems

    Directory of Open Access Journals (Sweden)

    C. Falck

    2010-02-01

    Full Text Available GPS (Global Positioning System technology is widely used for positioning applications. Many of them have high requirements with respect to precision, reliability or fast product delivery, but usually not all at the same time as it is the case for early warning applications. The tasks for the GPS-based components within the GITEWS project (German Indonesian Tsunami Early Warning System, Rudloff et al., 2009 are to support the determination of sea levels (measured onshore and offshore and to detect co-seismic land mass displacements with the lowest possible latency (design goal: first reliable results after 5 min. The completed system was designed to fulfil these tasks in near real-time, rather than for scientific research requirements. The obtained data products (movements of GPS antennas are supporting the warning process in different ways. The measurements from GPS instruments on buoys allow the earliest possible detection or confirmation of tsunami waves on the ocean. Onshore GPS measurements are made collocated with tide gauges or seismological stations and give information about co-seismic land mass movements as recorded, e.g., during the great Sumatra-Andaman earthquake of 2004 (Subarya et al., 2006. This information is important to separate tsunami-caused sea height movements from apparent sea height changes at tide gauge locations (sensor station movement and also as additional information about earthquakes' mechanisms, as this is an essential information to predict a tsunami (Sobolev et al., 2007.

    This article gives an end-to-end overview of the GITEWS GPS-component system, from the GPS sensors (GPS receiver with GPS antenna and auxiliary systems, either onshore or offshore to the early warning centre displays. We describe how the GPS sensors have been installed, how they are operated and the methods used to collect, transfer and process the GPS data in near real-time. This includes the sensor system design, the communication

  19. Veterans Health Administration's Disaster Emergency Medical Personnel System (DEMPS) Training Evaluation: Potential Implications for Disaster Health Care Volunteers.

    Science.gov (United States)

    Schmitz, Susan; Radcliff, Tiffany A; Chu, Karen; Smith, Robert E; Dobalian, Aram

    2018-02-20

    The US Veterans Health Administration's Disaster Emergency Medical Personnel System (DEMPS) is a team of employee disaster response volunteers who provide clinical and non-clinical staffing assistance when local systems are overwhelmed. This study evaluated attitudes and recommendations of the DEMPS program to understand the impact of multi-modal training on volunteer perceptions. DEMPS volunteers completed an electronic survey in 2012 (n=2120). Three training modes were evaluated: online, field exercise, and face-to-face. Measures included: "Training Satisfaction," "Attitudes about Training," "Continued Engagement in DEMPS." Data were analyzed using χ2 and logistic regression. Open-ended questions were evaluated in a manner consistent with grounded theory methodology. Most respondents participated in DEMPS training (80%). Volunteers with multi-modal training who completed all 3 modes (14%) were significantly more likely to have positive attitudes about training, plan to continue as volunteers, and would recommend DEMPS to others (P-valuevolunteer engagement. A blended learning environment using multi-modal training methods, could enhance satisfaction and attitudes and possibly encourage continued engagement in DEMPS or similar programs. DEMPS training program modifications in 2015 expanded this blended learning approach through new interactive online learning opportunities. (Disaster Med Public Health Preparedness. 2018; page 1 of 8).

  20. An intelligent IoT emergency vehicle warning system using RFID and Wi-Fi technologies for emergency medical services.

    Science.gov (United States)

    Lai, Yeong-Lin; Chou, Yung-Hua; Chang, Li-Chih

    2018-01-01

    Collisions between emergency vehicles for emergency medical services (EMS) and public road users have been a serious problem, impacting on the safety of road users, emergency medical technicians (EMTs), and the patients on board. The aim of this study is to develop a novel intelligent emergency vehicle warning system for EMS applications. The intelligent emergency vehicle warning system is developed by Internet of Things (IoT), radio-frequency identification (RFID), and Wi-Fi technologies. The system consists of three major parts: a system trigger tag, an RFID system in an emergency vehicle, and an RFID system at an intersection. The RFID system either in an emergency vehicle or at an intersection contains a controller, an ultrahigh-frequency (UHF) RFID reader module, a Wi-Fi module, and a 2.4-GHz antenna. In addition, a UHF ID antenna is especially designed for the RFID system in an emergency vehicle. The IoT system provides real-time visual warning at an intersection and siren warning from an emergency vehicle in order to effectively inform road users about an emergency vehicle approaching. The developed intelligent IoT emergency vehicle warning system demonstrates the capabilities of real-time visual and siren warnings for EMS safety.

  1. A Look At The Upper Level Planning System And Its Management Through Disaster Management In Turkey

    OpenAIRE

    Kanlı, İ. Bakır

    2003-01-01

    In this study the planning and management systems in our country have been examined in the scope of disaster management and in a trio system relationship. The systems’ points of handicap have been established in the frame of reason-result and suggestions have been made regarding the reconstruction of the system. It is very important that the planning system work efficiently in a hierarchical structure to reduce the effects of disasters. Our cities will be much healthier and safer places when ...

  2. An online operational rainfall-monitoring resource for epidemic malaria early warning systems in Africa

    Directory of Open Access Journals (Sweden)

    Ceccato Pietro

    2005-01-01

    Full Text Available Abstract Periodic epidemics of malaria are a major public health problem for many sub-Saharan African countries. Populations in epidemic prone areas have a poorly developed immunity to malaria and the disease remains life threatening to all age groups. The impact of epidemics could be minimized by prediction and improved prevention through timely vector control and deployment of appropriate drugs. Malaria Early Warning Systems are advocated as a means of improving the opportunity for preparedness and timely response. Rainfall is one of the major factors triggering epidemics in warm semi-arid and desert-fringe areas. Explosive epidemics often occur in these regions after excessive rains and, where these follow periods of drought and poor food security, can be especially severe. Consequently, rainfall monitoring forms one of the essential elements for the development of integrated Malaria Early Warning Systems for sub-Saharan Africa, as outlined by the World Health Organization. The Roll Back Malaria Technical Resource Network on Prevention and Control of Epidemics recommended that a simple indicator of changes in epidemic risk in regions of marginal transmission, consisting primarily of rainfall anomaly maps, could provide immediate benefit to early warning efforts. In response to these recommendations, the Famine Early Warning Systems Network produced maps that combine information about dekadal rainfall anomalies, and epidemic malaria risk, available via their Africa Data Dissemination Service. These maps were later made available in a format that is directly compatible with HealthMapper, the mapping and surveillance software developed by the WHO's Communicable Disease Surveillance and Response Department. A new monitoring interface has recently been developed at the International Research Institute for Climate Prediction (IRI that enables the user to gain a more contextual perspective of the current rainfall estimates by comparing them to

  3. An online operational rainfall-monitoring resource for epidemic malaria early warning systems in Africa

    Science.gov (United States)

    Grover-Kopec, Emily; Kawano, Mika; Klaver, Robert W.; Blumenthal, Benno; Ceccato, Pietro; Connor, Stephen J.

    2005-01-01

    Periodic epidemics of malaria are a major public health problem for many sub-Saharan African countries. Populations in epidemic prone areas have a poorly developed immunity to malaria and the disease remains life threatening to all age groups. The impact of epidemics could be minimized by prediction and improved prevention through timely vector control and deployment of appropriate drugs. Malaria Early Warning Systems are advocated as a means of improving the opportunity for preparedness and timely response.Rainfall is one of the major factors triggering epidemics in warm semi-arid and desert-fringe areas. Explosive epidemics often occur in these regions after excessive rains and, where these follow periods of drought and poor food security, can be especially severe. Consequently, rainfall monitoring forms one of the essential elements for the development of integrated Malaria Early Warning Systems for sub-Saharan Africa, as outlined by the World Health Organization.The Roll Back Malaria Technical Resource Network on Prevention and Control of Epidemics recommended that a simple indicator of changes in epidemic risk in regions of marginal transmission, consisting primarily of rainfall anomaly maps, could provide immediate benefit to early warning efforts. In response to these recommendations, the Famine Early Warning Systems Network produced maps that combine information about dekadal rainfall anomalies, and epidemic malaria risk, available via their Africa Data Dissemination Service. These maps were later made available in a format that is directly compatible with HealthMapper, the mapping and surveillance software developed by the WHO's Communicable Disease Surveillance and Response Department. A new monitoring interface has recently been developed at the International Research Institute for Climate Prediction (IRI) that enables the user to gain a more contextual perspective of the current rainfall estimates by comparing them to previous seasons and climatological

  4. QuakeUp: An advanced tool for a network-based Earthquake Early Warning system

    Science.gov (United States)

    Zollo, Aldo; Colombelli, Simona; Caruso, Alessandro; Elia, Luca; Brondi, Piero; Emolo, Antonio; Festa, Gaetano; Martino, Claudio; Picozzi, Matteo

    2017-04-01

    predicted P-wave amplitude at a dense spatial grid, including the nodes of the accelerometer/velocimeter array deployed in the earthquake source area. Within times of the order of ten seconds from the earthquake origin, the information about the area where moderate to strong ground shaking is expected to occur, can be sent to inner and outer sites, allowing the activation of emergency measurements to protect people , secure industrial facilities and optimize the site resilience after the disaster. Depending of the network density and spatial source coverage, this method naturally accounts for effects related to the earthquake rupture extent (e.g. source directivity) and spatial variability of strong ground motion related to crustal wave propagation and site amplification. In QuakeUp, the P-wave parameters are continuously measured, using progressively expanded P-wave time windows, and providing evolutionary and reliable estimates of the ground shaking distribution, especially in the case of very large events. Furthermore, to minimize the S-wave contamination on the P-wave signal portion, an efficient algorithm, based on the real-time polarization analysis of the three-component seismogram, for the automatic detection of the S-wave arrival time has been included. The final output of QuakeUp will be an automatic alert message that is transmitted to sites to be secured during the earthquake emergency. The message contains all relevant information about the expected potential damage at the site and the time available for security actions (lead-time) after the warning. A global view of the system performance during and after the event (in play-back mode) is obtained through an end-user visual display, where the most relevant pieces of information will be displayed and updated as soon as new data are available. The software platform Quake-Up is essentially aimed at improving the reliability and the accuracy in terms of parameter estimation, minimizing the uncertainties in the

  5. Integrated numerical modeling of a landslide early warning system in a context of adaptation to future climatic pressures

    Science.gov (United States)

    Khabarov, Nikolay; Huggel, Christian; Obersteiner, Michael; Ramírez, Juan Manuel

    2010-05-01

    Mountain regions are typically characterized by rugged terrain which is susceptible to different types of landslides during high-intensity precipitation. Landslides account for billions of dollars of damage and many casualties, and are expected to increase in frequency in the future due to a projected increase of precipitation intensity. Early warning systems (EWS) are thought to be a primary tool for related disaster risk reduction and climate change adaptation to extreme climatic events and hydro-meteorological hazards, including landslides. An EWS for hazards such as landslides consist of different components, including environmental monitoring instruments (e.g. rainfall or flow sensors), physical or empirical process models to support decision-making (warnings, evacuation), data and voice communication, organization and logistics-related procedures, and population response. Considering this broad range, EWS are highly complex systems, and it is therefore difficult to understand the effect of the different components and changing conditions on the overall performance, ultimately being expressed as human lives saved or structural damage reduced. In this contribution we present a further development of our approach to assess a landslide EWS in an integral way, both at the system and component level. We utilize a numerical model using 6 hour rainfall data as basic input. A threshold function based on a rainfall-intensity/duration relation was applied as a decision criterion for evacuation. Damage to infrastructure and human lives was defined as a linear function of landslide magnitude, with the magnitude modelled using a power function of landslide frequency. Correct evacuation was assessed with a ‘true' reference rainfall dataset versus a dataset of artificially reduced quality imitating the observation system component. Performance of the EWS using these rainfall datasets was expressed in monetary terms (i.e. damage related to false and correct evacuation). We

  6. Enhancing Famine Early Warning Systems with Improved Forecasts, Satellite Observations and Hydrologic Simulations

    Science.gov (United States)

    Funk, C. C.; Verdin, J.; Thiaw, W. M.; Hoell, A.; Korecha, D.; McNally, A.; Shukla, S.; Arsenault, K. R.; Magadzire, T.; Novella, N.; Peters-Lidard, C. D.; Robjohn, M.; Pomposi, C.; Galu, G.; Rowland, J.; Budde, M. E.; Landsfeld, M. F.; Harrison, L.; Davenport, F.; Husak, G. J.; Endalkachew, E.

    2017-12-01

    Drought early warning science, in support of famine prevention, is a rapidly advancing field that is helping to save lives and livelihoods. In 2015-2017, a series of extreme droughts afflicted Ethiopia, Southern Africa, Eastern Africa in OND and Eastern Africa in MAM, pushing more than 50 million people into severe food insecurity. Improved drought forecasts and monitoring tools, however, helped motivate and target large and effective humanitarian responses. Here we describe new science being developed by a long-established early warning system - the USAID Famine Early Warning Systems Network (FEWS NET). FEWS NET is a leading provider of early warning and analysis on food insecurity. FEWS NET research is advancing rapidly on several fronts, providing better climate forecasts and more effective drought monitoring tools that are being used to support enhanced famine early warning. We explore the philosophy and science underlying these successes, suggesting that a modal view of climate change can support enhanced seasonal prediction. Under this modal perspective, warming of the tropical oceans may interact with natural modes of variability, like the El Niño-Southern Oscillation, to enhance Indo-Pacific sea surface temperature gradients during both El Niño and La Niña-like climate states. Using empirical data and climate change simulations, we suggest that a sequence of droughts may commence in northern Ethiopia and Southern Africa with the advent of a moderate-to-strong El Niño, and then continue with La Niña/West Pacific related droughts in equatorial eastern East Africa. Scientifically, we show that a new hybrid statistical-dynamic precipitation forecast system, the FEWS NET Integrated Forecast System (FIFS), based on reformulations of the Global Ensemble Forecast System weather forecasts and National Multi-Model Ensemble (NMME) seasonal climate predictions, can effectively anticipate recent East and Southern African drought events. Using cross-validation, we

  7. Early warning scores: a sign of deterioration in patients and systems

    LENUS (Irish Health Repository)

    Fox, A

    2015-02-01

    The early warning score is a decision-making tool that has a simple design, yet its implementation in healthcare organisations is proving complex. This article reports the results of a survey that evaluated the nurses’ experiences of using the NEWS (National Early Warning Score) in an acute hospital in Ireland. Staff reported that the NEWS was easy to use, did not increase workload and enhanced their ability to identify deteriorating patients. However, they also identified problems related to doctors’ delayed response times, doctors lack of training in the use of the tool, and a failure by doctors to modify parameters for patients with chronic conditions. NEWS enhances nurses’ role in early detection of patient deterioration but delays in response times by doctors, exposes systematic flaws in healthcare. This suggests that it is not only an indicator of patient deterioration but also of deteriorating healthcare systems.

  8. Developing and testing an Early Warning System for Non Indigenous Species and Ballast Water Management

    Science.gov (United States)

    Magaletti, Erika; Garaventa, Francesca; David, Matej; Castriota, Luca; Kraus, Romina; Luna, Gian Marco; Silvestri, Cecilia; Forte, Cosmo; Bastianini, Mauro; Falautano, Manuela; Maggio, Teresa; Rak, Giulietta; Gollasch, Stephan

    2018-03-01

    This paper describes the methodological approach used for the development of an Early Warning System (EWS) for Non Indigenous Species (NIS) and ballast water management and summarizes the results obtained. The specific goals of the EWS are firstly to warn vessels to prevent loading of ballast water when critical biological conditions occur in ports and surrounding areas i.e. mass development or blooms of Harmful Aquatic Organisms and Pathogens (HAOP). Secondly, to warn environmental and health authorities when NIS or pathogens are present in ports or surrounding areas to enable an early response and an implementation of remediation measures. The EWS is designed to be used for implementing various parallel obligations, by taking into consideration different legal scopes, associated information and decision-making needs. The EWS was elaborated, tested in the Adriatic Sea and illustrated by two case studies. Although the EWS was developed with an Adriatic Sea focus, it is presented in a format so that it may be used as a model when establishing similar systems in other locations. The role of the various actors is discussed and recommendations on further developments of the EWS are presented. It was concluded that the EWS is a suitable tool to reduce the spread of potentially harmful and ballast water mediated species.

  9. An analysis of the early-warning system in emerging markets for reducing the financial crisis

    Science.gov (United States)

    Shen, Xiangguang; Song, Xiaozhong

    2009-07-01

    The large number of financial crises in emerging markets over the past ten years has left many observers, both from academia and financial institutions, puzzled by an apparent lack of homogenous causal relations between endogenous economic variables and the bursting of large financial shocks. The frequency of financial crises in the last 20 years can be attributed to the lack of a comprehensive theory of financial regulation to guide policy makers. Existing theories fail to define the range of regulatory models, the causes of regulatory failure, and how to measure and prevent it. Faulty design of regulatory models, and the lack of ongoing performance monitoring incorporating early warning systems, is disrupting economic and social development. The main aim of this article is to propose an early warning system (EWS) which purposes issuing warning signal against the possible financial crisis in the emerging market, and makes the emerging market survived the first wave of the crisis be able to continue their operation in the following years.

  10. Establishing the fundamentals for an elephant early warning and monitoring system.

    Science.gov (United States)

    Zeppelzauer, Matthias; Stoeger, Angela S

    2015-09-04

    The decline of habitat for elephants due to expanding human activity is a serious conservation problem. This has continuously escalated the human-elephant conflict in Africa and Asia. Elephants make extensive use of powerful infrasonic calls (rumbles) that travel distances of up to several kilometers. This makes elephants well-suited for acoustic monitoring because it enables detecting elephants even if they are out of sight. In sight, their distinct visual appearance makes them a good candidate for visual monitoring. We provide an integrated overview of our interdisciplinary project that established the scientific fundamentals for a future early warning and monitoring system for humans who regularly experience serious conflict with elephants. We first draw the big picture of an early warning and monitoring system, then review the developed solutions for automatic acoustic and visual detection, discuss specific challenges and present open future work necessary to build a robust and reliable early warning and monitoring system that is able to operate in situ. We present a method for the automated detection of elephant rumbles that is robust to the diverse noise sources present in situ. We evaluated the method on an extensive set of audio data recorded under natural field conditions. Results show that the proposed method outperforms existing approaches and accurately detects elephant rumbles. Our visual detection method shows that tracking elephants in wildlife videos (of different sizes and postures) is feasible and particularly robust at near distances. From our project results we draw a number of conclusions that are discussed and summarized. We clearly identified the most critical challenges and necessary improvements of the proposed detection methods and conclude that our findings have the potential to form the basis for a future automated early warning system for elephants. We discuss challenges that need to be solved and summarize open topics in the context of

  11. 49 CFR 234.259 - Warning time.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Warning time. 234.259 Section 234.259..., Inspection, and Testing Inspections and Tests § 234.259 Warning time. Each crossing warning system shall be tested for the prescribed warning time at least once every 12 months and when the warning system is...

  12. An electrophysiological study of the impact of a Forward Collision Warning System in a simulator driving task.

    Science.gov (United States)

    Bueno, Mercedes; Fabrigoule, Colette; Deleurence, Philippe; Ndiaye, Daniel; Fort, Alexandra

    2012-08-27

    Driver distraction has been identified as the most important contributing factor in rear-end collisions. In this context, Forward Collision Warning Systems (FCWS) have been developed specifically to warn drivers of potential rear-end collisions. The main objective of this work is to evaluate the impact of a surrogate FCWS and of its reliability according to the driver's attentional state by recording both behavioral and electrophysiological data. Participants drove following a lead motorcycle in a simplified simulator with or without a warning system which gave forewarning of the preceding vehicle braking. Participants had to perform this driving task either alone (simple task) or simultaneously with a secondary cognitive task (dual task). Behavioral and electrophysiological data contributed to revealing a positive effect of the warning system. Participants were faster in detecting the brake light when the system was perfect or imperfect, and the time and attentional resources allocation required for processing the target at higher cognitive level were reduced when the system was completely reliable. When both tasks were performed simultaneously, warning effectiveness was considerably affected at both performance and neural levels; however, the analysis of the brain activity revealed fewer differences between distracted and undistracted drivers when using the warning system. These results show that electrophysiological data could be a valuable tool to complement behavioral data and to have a better understanding of how these systems impact the driver. Copyright © 2012 Elsevier B.V. All rights reserved.

  13. Monitoring Regional Forest Disturbances across the US with near Real Time MODIS NDVI Products Resident to the ForWarn Forest Threat Early Warning System

    Science.gov (United States)

    Spruce, Joseph P.; Hargrove, William W.; Gasser, Gerald

    2013-01-01

    Forest threats across the US have become increasingly evident in recent years. Sometimes these have resulted in regionally evident disturbance progressions (e.g., from drought, bark beetle outbreaks, and wildfires) that can occur across multiyear durations and have resulted in extensive forest overstory mortality. In addition to stand replacement disturbances, other forests are subject to ephemeral, sometimes yearly defoliation from various insects and varying types and intensities of ephemeral damage from storms. Sometimes, after prolonged severe disturbance, signs of recovery in terms of Normalized Difference Vegetation Index (NDVI) can occur. The growing prominence and threat of forest disturbances in part have led to the formation and implementation of the 2003 Healthy Forest Restoration Act which mandated that national forest threat early warning system be developed and deployed. In response, the US Forest Service collaborated with NASA, DOE Oakridge National Laboratory, and the USGS Eros Data Center to build and roll-out the near real time ForWarn early warning system for monitoring regionally evident forest disturbances. Given the diversity of disturbance types, severities, and durations, ForWarn employs multiple historical baselines that are used with current NDVI to derive a suite of six forest change products that are refreshed every 8 days. ForWarn employs daily quarter kilometer MODIS NDVI data from the Aqua and Terra satellites, including MOD13 data for deriving historical baseline NDVIs and eMODIS 7 NDVI for compiling current NDVI. In doing so, the Time Series Product Tool and the Phenological Parameters Estimation Tool are used to temporally de-noise, fuse, and aggregate current and historical MODIS NDVIs into 24 day composites refreshed every 8 days with 46 dates of products per year. The 24 day compositing interval enables disturbances to be detected, while minimizing the frequency of residual atmospheric contamination. Forest change products are

  14. Operation of a real-time warning system for debris flows in the San Francisco bay area, California

    Science.gov (United States)

    Wilson, Raymond C.; Mark, Robert K.; Barbato, Gary; ,

    1993-01-01

    The United States Geological Survey (USGS) and the National Weather Service (NWS) have developed an operational warning system for debris flows during severe rainstorms in the San Francisco Bay region. The NWS makes quantitative forecasts of precipitation from storm systems approaching the Bay area and coordinates a regional network of radio-telemetered rain gages. The USGS has formulated thresholds for the intensity and duration of rainfall required to initiate debris flows. The first successful public warnings were issued during a severe storm sequence in February 1986. Continued operation of the warning system since 1986 has provided valuable working experience in rainfall forecasting and monitoring, refined rainfall thresholds, and streamlined procedures for issuing public warnings. Advisory statements issued since 1986 are summarized.

  15. Big data managing in a landslide early warning system: experience from a ground-based interferometric radar application

    Directory of Open Access Journals (Sweden)

    E. Intrieri

    2017-10-01

    Full Text Available A big challenge in terms or landslide risk mitigation is represented by increasing the resiliency of society exposed to the risk. Among the possible strategies with which to reach this goal, there is the implementation of early warning systems. This paper describes a procedure to improve early warning activities in areas affected by high landslide risk, such as those classified as critical infrastructures for their central role in society. This research is part of the project LEWIS (Landslides Early Warning Integrated System: An Integrated System for Landslide Monitoring, Early Warning and Risk Mitigation along Lifelines. LEWIS is composed of a susceptibility assessment methodology providing information for single points and areal monitoring systems, a data transmission network and a data collecting and processing center (DCPC, where readings from all monitoring systems and mathematical models converge and which sets the basis for warning and intervention activities. The aim of this paper is to show how logistic issues linked to advanced monitoring techniques, such as big data transfer and storing, can be dealt with compatibly with an early warning system. Therefore, we focus on the interaction between an areal monitoring tool (a ground-based interferometric radar and the DCPC. By converting complex data into ASCII strings and through appropriate data cropping and average, and by implementing an algorithm for line-of-sight correction, we managed to reduce the data daily output without compromising the capability for performing.

  16. Big data managing in a landslide early warning system: experience from a ground-based interferometric radar application

    Science.gov (United States)

    Intrieri, Emanuele; Bardi, Federica; Fanti, Riccardo; Gigli, Giovanni; Fidolini, Francesco; Casagli, Nicola; Costanzo, Sandra; Raffo, Antonio; Di Massa, Giuseppe; Capparelli, Giovanna; Versace, Pasquale

    2017-10-01

    A big challenge in terms or landslide risk mitigation is represented by increasing the resiliency of society exposed to the risk. Among the possible strategies with which to reach this goal, there is the implementation of early warning systems. This paper describes a procedure to improve early warning activities in areas affected by high landslide risk, such as those classified as critical infrastructures for their central role in society. This research is part of the project LEWIS (Landslides Early Warning Integrated System): An Integrated System for Landslide Monitoring, Early Warning and Risk Mitigation along Lifelines. LEWIS is composed of a susceptibility assessment methodology providing information for single points and areal monitoring systems, a data transmission network and a data collecting and processing center (DCPC), where readings from all monitoring systems and mathematical models converge and which sets the basis for warning and intervention activities. The aim of this paper is to show how logistic issues linked to advanced monitoring techniques, such as big data transfer and storing, can be dealt with compatibly with an early warning system. Therefore, we focus on the interaction between an areal monitoring tool (a ground-based interferometric radar) and the DCPC. By converting complex data into ASCII strings and through appropriate data cropping and average, and by implementing an algorithm for line-of-sight correction, we managed to reduce the data daily output without compromising the capability for performing.

  17. Emerging trends in disaster management and the Ethiopian ...

    African Journals Online (AJOL)

    Emerging trends in disaster management and the Ethiopian experience: genesis, reform and transformation. ... Journal of Business and Administrative Studies ... Key words: disaster management, drought, pre-disaster action, post-disaster action, hazards, disaster, Ethiopian disaster management system, Ethiopia.

  18. Risk and Disaster Management: From Planning and Expertise to Smart, Intelligent, and Adaptive Systems.

    Science.gov (United States)

    Benis, Arriel; Notea, Amos; Barkan, Refael

    2018-01-01

    "Disaster" means some surprising and misfortunate event. Its definition is broad and relates to complex environments. Medical Informatics approaches, methodologies and systems are used as a part of Disaster and Emergency Management systems. At the Holon Institute of Technology - HIT, Israel, in 2016 a National R&D Center: AFRAN was established to study the disaster's reduction aspects. The Center's designation is to investigate and produce new approaches, methodologies and to offer recommendations in the fields of disaster mitigation, preparedness, response and recovery and to disseminate disaster's knowledge. Adjoint to the Center a "Smart, Intelligent, and Adaptive Systems" laboratory (SIAS) was established with the goal to study the applications of Information and Communication Technologies (ICT) and Artificial Intelligence (AI) to Risk and Disaster Management (RDM). In this paper, we are redefining the concept of Disaster, pointing-out how ICT, AI, in the Big Data era, are central players in the RDM game. In addition we show the merit of the Center and lab combination to the benefit of the performed research projects.

  19. From Forecasters to the General Public: A Communication Tool to Understand Decision-making Challenges in Weather-related Early Warning Systems

    Science.gov (United States)

    Terti, G.; Ruin, I.; Kalas, M.; Lorini, V.; Sabbatini, T.; i Alonso, A. C.

    2017-12-01

    New technologies are currently adopted worldwide to improve weather forecasts and communication of the corresponding warnings to the end-users. "EnhANcing emergency management and response to extreme WeatHER and climate Events" (ANYWHERE) project is an innovating action that aims at developing and implementing a European decision-support platform for weather-related risks integrating cutting-edge forecasting technology. The initiative is built in a collaborative manner where researchers, developers, potential users and other stakeholders meet frequently to define needs, capabilities and challenges. In this study, we propose a role-playing game to test the added value of the ANYWHERE platform on i) the decision-making process and the choice of warning levels under uncertainty, ii) the management of the official emergency response and iii) the crisis communication and triggering of protective actions at different levels of the warning system (from hazard detection to citizen response). The designed game serves as an interactive communication tool. Here, flood and flash flood focused simulations seek to enhance participant's understanding of the complexities and challenges embedded in various levels of the decision-making process under the threat of weather disasters (e.g., forecasting/warnings, official emergency actions, self-protection). Also, we facilitate collaboration and coordination between the participants who belong to different national or local agencies/authorities across Europe. The game is first applied and tested in ANYWHERE's workshop in Helsinki (September, 2017) where about 30-50 people, including researchers, forecasters, civil protection and representatives of related companies, are anticipated to play the simulation. The main idea is to provide to the players a virtual case study that well represents realistic uncertainties and dilemmas embedded in the real-time forecasting-warning processes. At the final debriefing step the participants are

  20. Early warning systems and rapid response to the deteriorating patient in hospital: A realist evaluation.

    Science.gov (United States)

    McGaughey, Jennifer; O'Halloran, Peter; Porter, Sam; Trinder, John; Blackwood, Bronagh

    2017-12-01

    To test the Rapid Response Systems programme theory against actual practice components of the Rapid Response Systems implemented to identify those contexts and mechanisms which have an impact on the successful achievement of desired outcomes in practice. Rapid Response Systems allow deteriorating patients to be recognized using Early Warning Systems, referred early via escalation protocols and managed at the bedside by competent staff. Realist evaluation. The research design was an embedded multiple case study approach of four wards in two hospitals in Northern Ireland which followed the principles of Realist Evaluation. We used various mixed methods including individual and focus group interviews, observation of nursing practice between June-November 2010 and document analysis of Early Warning Systems audit data between May-October 2010 and hospital acute care training records over 4.5 years from 2003-2008. Data were analysed using NiVivo8 and SPPS. A cross-case analysis highlighted similar patterns of factors which enabled or constrained successful recognition, referral and response to deteriorating patients in practice. Key enabling factors were the use of clinical judgement by experienced nurses and the empowerment of nurses as a result of organizational change associated with implementation of Early Warning System protocols. Key constraining factors were low staffing and inappropriate skill mix levels, rigid implementation of protocols and culturally embedded suboptimal communication processes. Successful implementation of Rapid Response Systems was dependent on adopting organizational and cultural changes that facilitated staff empowerment, flexible implementation of protocols and ongoing experiential learning. © 2017 John Wiley & Sons Ltd.

  1. A Systems Thinking approach to post-disaster restoration of maritime transportation systems

    Science.gov (United States)

    Lespier, Lizzette Pérez; Long, Suzanna K.; Shoberg, Thomas G.

    2015-01-01

    A Systems Thinking approach is used to examine elements of a maritime transportation system that are most likely to be impacted by an extreme event. The majority of the literature uses a high-level view that can fail to capture the damage at the sub-system elements. This work uses a system dynamics simulation for a better view and understanding of the Port of San Juan, Puerto Rico, as a whole system and uses Hurricane Georges (1998), as a representative disruptive event. The model focuses on the impacts of natural disasters at the sub-system level with a final goal of determining the sequence needed to restore an ocean-going port to its pre-event state. This work in progress details model development and outlines steps for using real-world information to assist maritime port manager planning and recommendations for best practices to mitigate disaster damage.

  2. Enhancing Community Based Early Warning Systems in Nepal with Flood Forecasting Using Local and Global Models

    Science.gov (United States)

    Dugar, Sumit; Smith, Paul; Parajuli, Binod; Khanal, Sonu; Brown, Sarah; Gautam, Dilip; Bhandari, Dinanath; Gurung, Gehendra; Shakya, Puja; Kharbuja, RamGopal; Uprety, Madhab

    2017-04-01

    Operationalising effective Flood Early Warning Systems (EWS) in developing countries like Nepal poses numerous challenges, with complex topography and geology, sparse network of river and rainfall gauging stations and diverse socio-economic conditions. Despite these challenges, simple real-time monitoring based EWSs have been in place for the past decade. A key constraint of these simple systems is the very limited lead time for response - as little as 2-3 hours, especially for rivers originating from steep mountainous catchments. Efforts to increase lead time for early warning are focusing on imbedding forecasts into the existing early warning systems. In 2016, the Nepal Department of Hydrology and Meteorology (DHM) piloted an operational Probabilistic Flood Forecasting Model in major river basins across Nepal. This comprised a low data approach to forecast water levels, developed jointly through a research/practitioner partnership with Lancaster University and WaterNumbers (UK) and the International NGO Practical Action. Using Data-Based Mechanistic Modelling (DBM) techniques, the model assimilated rainfall and water levels to generate localised hourly flood predictions, which are presented as probabilistic forecasts, increasing lead times from 2-3 hours to 7-8 hours. The Nepal DHM has simultaneously started utilizing forecasts from the Global Flood Awareness System (GLoFAS) that provides streamflow predictions at the global scale based upon distributed hydrological simulations using numerical ensemble weather forecasts from the ECMWF (European Centre for Medium-Range Weather Forecasts). The aforementioned global and local models have already affected the approach to early warning in Nepal, being operational during the 2016 monsoon in the West Rapti basin in Western Nepal. On 24 July 2016, GLoFAS hydrological forecasts for the West Rapti indicated a sharp rise in river discharge above 1500 m3/sec (equivalent to the river warning level at 5 meters) with 53

  3. Science-Driven Approach to Disaster Risk and Crisis Management

    Science.gov (United States)

    Ismail-Zadeh, A.

    2014-12-01

    Disasters due to natural extreme events continue to grow in number and intensity. Disaster risk and crisis management requires long-term planning, and to undertake that planning, a science-driven approach is needed to understand and assess disaster risks and to help in impact assessment and in recovery processes after a disaster. Science is used in assessments and rapid modeling of the disaster impact, in forecasting triggered hazards and risk (e.g., a tsunami or a landslide after a large earthquake), in contacts with and medical treatment of the affected population, and in some other actions. At the stage of response to disaster, science helps to analyze routinely the disaster happened (e.g., the physical processes led to this extreme event; hidden vulnerabilities; etc.) At the stage of recovery, natural scientists improve the existing regional hazard assessments; engineers try to use new science to produce new materials and technologies to make safer houses and infrastructure. At the stage of disaster risk mitigation new scientific methods and approaches are being developed to study natural extreme events; vulnerability of society is periodically investigated, and the measures for increasing the resilience of society to extremes are developed; existing disaster management regulations are improved. At the stage of preparedness, integrated research on disaster risks should be developed to understand the roots of potential disasters. Enhanced forecasting and early warning systems are to be developed reducing predictive uncertainties, and comprehensive disaster risk assessment is to be undertaken at local, regional, national and global levels. Science education should be improved by introducing trans-disciplinary approach to disaster risks. Science can help society by improving awareness about extreme events, enhancing risk communication with policy makers, media and society, and assisting disaster risk management authorities in organization of local and regional

  4. Cloud-Based Social Media Visual Analytics Disaster Response System, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — We propose a next-generation cloud-based social media visual analytics disaster response system that will enable decision-makers and first-responders to obtain...

  5. Effectiveness of a Forward Collision Warning System in simple and in dual task from an electrophysiological perspective.

    Science.gov (United States)

    Bueno, Mercedes; Fort, Alexandra; Francois, Mathilde; Ndiaye, Daniel; Deleurence, Philippe; Fabrigoule, Colette

    2013-04-29

    Forward Collision Warning Systems (FCWS) are expected to assist drivers; however, it is not completely clear whether these systems are of benefit to distracted drivers as much as they are to undistracted drivers. This study aims at investigating further the analysis of the effectiveness of a surrogate FCWS according to the attentional state of participants. In this experiment electrophysiological and behavioural data were recording while participants were required to drive in a simple car simulator and to react to the braking of the lead vehicle which could be announced by a warning system. The effectiveness of this warning system was evaluated when drivers were distracted or not by a secondary cognitive task. In a previous study, the warning signal was not completely effective likely due to the presence of another predictor of the forthcoming braking which competes with the warning. By eliminating this secondary predictor in the present study, the results confirmed the negative effect of the secondary task and revealed the expected effectiveness of the warning system at behavioural and electrophysiological levels. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  6. The Design of Data Disaster Recovery of National Fundamental Geographic Information System

    Science.gov (United States)

    Zhai, Y.; Chen, J.; Liu, L.; Liu, J.

    2014-04-01

    With the development of information technology, data security of information system is facing more and more challenges. The geographic information of surveying and mapping is fundamental and strategic resource, which is applied in all areas of national economic, defence and social development. It is especially vital to national and social interests when such classified geographic information is directly concerning Chinese sovereignty. Several urgent problems that needs to be resolved for surveying and mapping are how to do well in mass data storage and backup, establishing and improving the disaster backup system especially after sudden natural calamity accident, and ensuring all sectors rapidly restored on information system will operate correctly. For overcoming various disaster risks, protect the security of data and reduce the impact of the disaster, it's no doubt the effective way is to analysis and research on the features of storage and management and security requirements, as well as to ensure that the design of data disaster recovery system suitable for the surveying and mapping. This article analyses the features of fundamental geographic information data and the requirements of storage management, three site disaster recovery system of DBMS plan based on the popular network, storage and backup, data replication and remote switch of application technologies. In LAN that synchronous replication between database management servers and the local storage of backup management systems, simultaneously, remote asynchronous data replication between local storage backup management systems and remote database management servers. The core of the system is resolving local disaster in the remote site, ensuring data security and business continuity of local site. This article focuses on the following points: background, the necessity of disaster recovery system, the analysis of the data achievements and data disaster recovery plan. Features of this program is to use a

  7. Psycho-Cultural Analysis of Disaster Risk Attitudes in Situation Awareness

    Science.gov (United States)

    2013-09-01

    Ignore information - Seek information .595 B2 Warn people - Remain silent .741 B1 Attend warnings - Ignore warning .719...Trust warning siren .714 B5 Ignore information - Seek information .697 B1 Attend warnings - Ignore warning .638...Reduction and Climate Change Adaptation. Rugby , UK: Practical Action Publishing, ISBN 978-1-85339-786-8. UNISDR (2009). Terminology on Disaster Risk

  8. Addressing the Safety of Transportation Cyber-Physical Systems: Development and Validation of a Verbal Warning Utility Scale for Intelligent Transportation Systems

    Directory of Open Access Journals (Sweden)

    Yiqi Zhang

    2015-01-01

    Full Text Available As an important application of Cyber-Physical Systems (CPS, advances in intelligent transportation systems (ITS improve driving safety by informing drivers of hazards with warnings in advance. The evaluation of the warning effectiveness is an important issue in facilitating communication of ITS. The goal of the present study was to develop a scale to evaluate the warning utility, namely, the effectiveness of a warning in preventing accidents in general. A driving simulator study was conducted to validate the Verbal Warning Utility Scale (VWUS in a simulated driving environment. The reliability analysis indicated a good split-half reliability for the VWUS with a Spearman-Brown Coefficient of 0.873. The predictive validity of VWUS in measuring the effectiveness of the verbal warnings was verified by the significant prediction of safety benefits indicated by variables, including reduced kinetic energy and collision rate. Compared to conducting experimental studies, this scale provides a simpler way to evaluate overall utility of verbal warnings in communicating associated hazards in intelligent transportation systems. This scale can be further applied to improve the design of warnings of ITS in order to improve transportation safety. The applications of the scale in nonverbal warning situations and limitations of the current scale are also discussed.

  9. POWER SUPPLY MANAGEMENT SYSTEM DESIGN ON NODE EARLY WARNING SYSTEM FOR PEATLANDS FIRE MITIGATION

    Directory of Open Access Journals (Sweden)

    Taufiq Muammar

    2018-02-01

    Full Text Available Early warning system is one of the technology to detect land fires by utilizing a network of wireless sensors. Constant data transmission by the sensor nodes consumes a large amount of energy on the nodes’ sides that could affect the battery’s longevity. This research is done to discover the amount of power consumption and battery longevity during fire emergencies, and during non-emergency situation on peatlands. Power saving on the fire detecting system uses an LM35 temperature sensor, ATmega8 micro-controller and HC-12 transmission module. The overall result of powered by a 9 volt battery during fire emergencies, and during non-emergency, the power consumption reaches up to 1 Wh, with various longevity levels of the battery. The implementation of sleep/wake up mode scheduling during fire emergencies and non-emergencies could save battery for 2 hours compared to those without the power saving mode implementation. Power saving during fire emergency could be minimalized by activating the sleep mode activation power-down on the micro controller and it can also set the data transmission schedule to minimalize data usage during fire emergency, so that the usage of sleep/wake up mode interval scheduling during transmission could minimalize energy consumption and elongate the power supply active period.

  10. Driving with a partially autonomous forward collision warning system: how do drivers react?

    Science.gov (United States)

    Muhrer, Elke; Reinprecht, Klaus; Vollrath, Mark

    2012-10-01

    The effects of a forward collision warning (FCW) and braking system (FCW+) were examined in a driving simulator study analyzing driving and gaze behavior and the engagement in a secondary task. In-depth accident analyses indicate that a lack of appropriate expectations for possible critical situations and visual distraction may be the major causes of rear-end crashes. Studies with FCW systems have shown that a warning alone was not enough for a driver to be able to avoid the accident. Thus,an additional braking intervention by such systems could be necessary. In a driving simulator experiment, 30 drivers took part in a car-following scenario in an urban area. It was assumed that different lead car behaviors and environmental aspects would lead to different drivers' expectations of the future traffic situation. Driving with and without FCW+ was introduced as a between-subjects factor. Driving with FCW+ resulted in significantly fewer accidents in critical situations. This result was achieved by the system's earlier reaction time as compared with that of drivers. The analysis of the gaze behavior showed that driving with the system did not lead to a stronger involvement in secondary tasks. The study supports the hypotheses about the importance of missing expectations for the occurrence of accidents. These accidents can be prevented by an FCW+ that brakes autonomously. The results indicate that an autonomous braking intervention should be implemented in FCW systems to increase the effectiveness of these assistance systems.

  11. Evaluation of a radar-based proximity warning system for off-highway dump trucks.

    Science.gov (United States)

    Ruff, Todd

    2006-01-01

    A radar-based proximity warning system was evaluated by researchers at the Spokane Research Laboratory of the National Institute for Occupational Safety and Health to determine if the system would be effective in detecting objects in the blind spots of an off-highway dump truck. An average of five fatalities occur each year in surface mines as a result of an equipment operator not being aware of a smaller vehicle, person or change in terrain near the equipment. Sensor technology that can detect such obstacles and that also is designed for surface mining applications is rare. Researchers worked closely with the radar system manufacturer to test and modify the system on large, off-highway dump trucks at a surface mine over a period of 2 years. The final system was thoroughly evaluated by recording video images from a camera on the rear of the truck and by recording all alarms from the rear-mounted radar. Data show that the system reliably detected small vehicles, berms, people and other equipment. However, alarms from objects that posed no immediate danger were common, supporting the assertion that sensor-based systems for proximity warning should be used in combination with other devices, such as cameras, that would allow the operator to check the source of any alarm.

  12. United States Earthquake Early Warning System: How Theory and Analysis Can Save America Before the Big One Happens

    Science.gov (United States)

    2017-12-01

    Documentation for 201447 Spending more on ShakeAlert now and including sustainable operating costs can be justified. In a 2016 publication in...Seismological Research Letters, entitled “ Benefits and Costs of Earthquake Early Warning,” Strauss and Allen determine that “according to FEMA’s cost ...statistical life in the United States is USD 6.6 million.”48 As such, the benefits outweigh the costs as the earthquake early warning system alone would

  13. Landslide monitoring and early warning systems in Lower Austria - current situation and new developments

    Science.gov (United States)

    Thiebes, Benni; Glade, Thomas; Schweigl, Joachim; Jäger, Stefan; Canli, Ekrem

    2014-05-01

    Landslides represent significant hazards in the mountainous areas of Austria. The Regional Geological Surveys are responsible to inform and protect the population, and to mitigate damage to infrastructure. Efforts of the Regional Geological Survey of Lower Austria include detailed site investigations, the planning and installation of protective structures (e.g. rock fall nets) as well as preventive measures such as regional scale landslide susceptibility assessments. For potentially endangered areas, where protection works are not feasible or would simply be too costly, monitoring systems have been installed. However, these systems are dominantly not automatic and require regular field visits to take measurements. Therefore, it is difficult to establish any relation between initiating and controlling factors, thus to fully understand the underlying process mechanism which is essential for any early warning system. Consequently, the implementation of new state-of-the-art monitoring and early warning systems has been started. In this presentation, the design of four landslide monitoring and early warning systems is introduced. The investigated landslide process types include a deep-seated landslide, a rock fall site, a complex earth flow, and a debris flow catchment. The monitoring equipment was chosen depending on the landslide processes and their activity. It aims to allow for a detailed investigation of process mechanisms in relation to its triggers and for reliable prediction of future landslide activities. The deep-seated landslide will be investigated by manual and automatic inclinometers to get detailed insights into subsurface displacements. In addition, TDR sensors and a weather station will be employed to get a better understanding on the influence of rainfall on sub-surface hydrology. For the rockfall site, a wireless sensor network will be installed to get real-time information on acceleration and inclination of potentially unstable blocks. The movement

  14. A test-based method for the assessment of pre-crash warning and braking systems.

    Science.gov (United States)

    Bálint, András; Fagerlind, Helen; Kullgren, Anders

    2013-10-01

    In this paper, a test-based assessment method for pre-crash warning and braking systems is presented where the effectiveness of a system is measured by its ability to reduce the number of injuries of a given type or severity in car-to-car rear-end collisions. Injuries with whiplash symptoms lasting longer than 1 month and MAIS2+ injuries in both vehicles involved in the crash are considered in the assessment. The injury reduction resulting from the impact speed reduction due to a pre-crash system is estimated using a method which has its roots in the dose-response model. Human-machine interaction is also taken into account in the assessment. The results reflect the self-protection as well as the partner-protection performance of a pre-crash system in the striking vehicle in rear-end collisions and enable a comparison between two or more systems. It is also shown how the method may be used to assess the importance of warning as part of a pre-crash system. Copyright © 2013 Elsevier Ltd. All rights reserved.

  15. The system was blinking red: Awareness Contexts and Disasters

    Directory of Open Access Journals (Sweden)

    Vivian B. Martin

    2015-12-01

    Full Text Available The awareness context has been a source of inspiration for grounded theories for more than 50 years; yet little has been done to extend the theory beyond nursing and the medical field, and a few works on identity. This paper extends the awareness context by examining its role in several high-profile disasters, natural and man-made, where gaining a clear sense of what was going on was often blocked by poor information flow and general communication failures, interpersonal and technological. Selective coding and the introduction of new concepts after analyzing hundreds of pages of documents issued by special commissions in the aftermath of the 9/11 attacks, Hurricane Katrina, the Deepwater Horizon oil spill in the Gulf, and the Sago Mine Disaster not only explain various processes around awareness in the midst of crisis, but also illuminate pre-crisis patterns that, if attended, could have mitigated the impact of the disasters.

  16. A Plan to Develop a Red Tide Warning System for Seawater Desalination Process Management

    Science.gov (United States)

    Kim, Tae Woo; Yun, Hong Sik

    2017-04-01

    The holt of the seawater desalination process for fifty five days due to the eight-month long red tide in 2008 in the Persian Gulf, the Middle East, had lost about 10 billion KRW. The POSCO Seawater Desalination facility, located in Gwangyang Bay Area in the Southern Sea, has produced 30,000 tons of fresh water per day since 2014. Since there has been an incident of red time in the area for three months in August, 2012, it is necessary to establish a warning system for red tide that threatens the stable operation of the seawater desalination facility. A red tide warning system can offer the seawater desalination facility manager customized services on red tide information and potential red tide inflow to the water intake. This study aimed to develop a red tide warning system in Gwangyang Bay Area by combining RS, modeling and monitoring technologies, which provides red tide forecasting information with which to effectively control the seawater desalination process. Using the proposed system, the seawater desalination facility manager can take phased measures to cope with the inflow of red tide. ACKNOWLEDGMENTS This research was supported by a grant(16IFIP-C088924-03) from Industrial Facilities & Infrastructure Research Program funded by Ministry of Land, Infrastructure and Transport(MOLIT) of the Korea government and the Korea Agency for Infrastructure Technology Advancement (KAIA). This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(NRF-2014R1A1A2054975).

  17. New technology for using meteorological information in forest insect pest forecast and warning systems.

    Science.gov (United States)

    Qin, Jiang-Lin; Yang, Xiu-Hao; Yang, Zhong-Wu; Luo, Ji-Tong; Lei, Xiu-Feng

    2017-12-01

    Near surface air temperature and rainfall are major weather factors affecting forest insect dynamics. The recent developments in remote sensing retrieval and geographic information system spatial analysis techniques enable the utilization of weather factors to significantly enhance forest pest forecasting and warning systems. The current study focused on building forest pest digital data structures as a platform of correlation analysis between weather conditions and forest pest dynamics for better pest forecasting and warning systems using the new technologies. The study dataset contained 3 353 425 small polygons with 174 defined attributes covering 95 counties of Guangxi province of China currently registering 292 forest pest species. Field data acquisition and information transfer systems were established with four software licences that provided 15-fold improvement compared to the systems currently used in China. Nine technical specifications were established including codes of forest districts, pest species and host tree species, and standard practices of forest pest monitoring and information management. Attributes can easily be searched using ArcGIS9.3 and/or the free QGIS2.16 software. Small polygons with pest relevant attributes are a new tool of precision farming and detailed forest insect pest management that are technologically advanced. © 2017 Society of Chemical Industry. © 2017 Society of Chemical Industry.

  18. Tracking the evolution of the disaster management cycle: A general system theory approach

    Directory of Open Access Journals (Sweden)

    Christo Coetzee

    2012-12-01

    Full Text Available Officials and scholars have used the disaster management cycle for the past 30 years to explain and manage impacts. Although very little understanding and agreement exist in terms of where the concept originated it is the purpose of this article to address the origins of the disaster management cycle. To achieve this, general system theory concepts of isomorphisms, equifinality, open systems and feedback arrangements were applied to linear disaster phase research (which emerged in the 1920s and disaster management cycles. This was done in order to determine whether they are related concepts with procedures such as emergency, relief, recovery and rehabilitation.

  19. The German emergency and disaster medicine and management system-history and present.

    Science.gov (United States)

    Hecker, Norman; Domres, Bernd Dieter

    2018-04-01

    As well for optimized emergency management in individual cases as for optimized mass medicine in disaster management, the principle of the medical doctors approaching the patient directly and timely, even close to the site of the incident, is a long-standing marker for quality of care and patient survival in Germany. Professional rescue and emergency forces, including medical services, are the "Golden Standard" of emergency management systems. Regulative laws, proper organization of resources, equipment, training and adequate delivery of medical measures are key factors in systematic approaches to manage emergencies and disasters alike and thus save lives. During disasters command, communication, coordination and cooperation are essential to cope with extreme situations, even more so in a globalized world. In this article, we describe the major historical milestones, the current state of the German system in emergency and disaster management and its integration into the broader European approach. Copyright © 2018. Production and hosting by Elsevier B.V.

  20. System of prediction and warning of floods in the water basin of Struma/ Strymonas River

    International Nuclear Information System (INIS)

    Mimides, Theologos; Rizos, Spyros; Soulis, Kostas; Dimitrov, Dobri

    2004-01-01

    Struma is collecting waters from four countries: Bulgaria, Serbia, FYROM and Greece. Most of its basin area is located in Bulgaria and Greece, while the upper part of its basin is in Bulgaria. There are important hydro technical structures just below the Bulgarian-Greek border, and the floods generated in the Bulgarian part of the basin could significantly affect the security of those structures and their operational rules. That is why several years ago a project related to flood warning at Struma/ Strymonas river basin was formulated and its first phase was completed in 2000. The main objective of the project was to demonstrate the principal possibility for issuing reliable warnings for hazardous flood events with sufficient lead-time to organize flood mitigation measures. The project implementation team included various scientists from the Agricultural University of Athens-Greece (leader), from the Center of Remote Sensing, Bristol University-UK, and from the National Institute of Meteorology and Hydrology of Sofia - Bulgaria. The work program of the first project phase included a range of activities implemented by the Bulgarian and Greek team members, coordinated by the Agricultural University of Athens. Among the activities of the Project are included: a) a preliminary model for peak flood hydrographs and specifications of an early warning system, b) a real time flood forecasting by routing flood hydrographs through the system of the river and Kerkini lake, c) thematic maps of vegetation and land cover derived by satellite remote sensing, d) satellite snow monitoring in the basin, e) an adaptation of the Alladin Weather Forecast Model at the hydrological basin and scaling of the Crocus Snow Model at a preliminary stage, and f) development of a geo environmental recording system.(Author)

  1. Development and validation of a weather-based warning system to advise fungicide applications to control dollar spot on turfgrass

    Science.gov (United States)

    Smith, D. L.; Kerns, J. P.; Walker, N. R.; Payne, A. F.; Horvath, B.; Inguagiato, J. C.; Kaminski, J. E.; Tomaso-Peterson, M.

    2018-01-01

    Dollar spot is one of the most common diseases of golf course turfgrass and numerous fungicide applications are often required to provide adequate control. Weather-based disease warning systems have been developed to more accurately time fungicide applications; however, they tend to be ineffective and are not currently in widespread use. The primary objective of this research was to develop a new weather-based disease warning system to more accurately advise fungicide applications to control dollar spot activity across a broad geographic and climactic range. The new dollar spot warning system was developed from data collected at field sites in Madison, WI and Stillwater, OK in 2008 and warning system validation sites were established in Madison, WI, Stillwater, OK, Knoxville, TN, State College, PA, Starkville, MS, and Storrs, CT between 2011 and 2016. A meta-analysis of all site-years was conducted and the most effective warning system for dollar spot development consisted of a five-day moving average of relative humidity and average daily temperature. Using this model the highest effective probability that provided dollar spot control similar to that of a calendar-based program across the numerous sites and years was 20%. Additional analysis found that the 20% spray threshold provided comparable control to the calendar-based program while reducing fungicide usage by up to 30%, though further refinement may be needed as practitioners implement this warning system in a range of environments not tested here. The weather-based dollar spot warning system presented here will likely become an important tool for implementing precision disease management strategies for future turfgrass managers, especially as financial and regulatory pressures increase the need to reduce pesticide usage on golf course turfgrass. PMID:29522560

  2. Cluster as a Service for Disaster Recovery in Intercloud Systems: Design and Modeling

    OpenAIRE

    Mohammad Ali Khoshkholghi

    2014-01-01

    Nowadays, all modern IT technologies aim to create dynamic and flexible environments. For this reason, InterCloud has been designed to provide a vast and flexible virtualized environment in which many clouds can interact with one another in a dynamic way. Disaster recovery is one of the main applications of InterCloud which can be supported by Cluster as a Service. However, the previous studies addressed disaster recovery and Cluster as a Service separately. In addition, system backup and dis...

  3. Multi-terminal remote monitoring and warning system using Micro Air Vehicle for dangerous environment

    Science.gov (United States)

    Yu, Yanan; Wang, Xiaoxun; He, Chengcheng; Lai, Chenlong; Liu, Yuanchao

    2015-11-01

    For overcoming the problems such as remote operation and dangerous tasks, multi-terminal remote monitoring and warning system based on STC89C52 Micro Control Unit and wireless communication technique was proposed. The system with MCU as its core adopted multiple sets of sensor device to monitor environment parameters of different locations, such as temperature, humidity, smoke other harmful gas concentration. Data information collected was transmitted remotely by wireless transceiver module, and then multi-channel data parameter was processed and displayed through serial communication protocol between the module and PC. The results of system could be checked in the form of web pages within a local network which plays a wireless monitoring and warning role. In a remote operation, four-rotor micro air vehicle which fixed airborne data acquisition device was utilized as a middleware between collecting terminal and PC to increase monitoring scope. Whole test system has characteristics of simple construction, convenience, real time ability and high reliability, which could meet the requirements of actual use.

  4. Rapid wave and storm surge warning system for tropical cyclones in Mexico

    Science.gov (United States)

    Appendini, C. M.; Rosengaus, M.; Meza, R.; Camacho, V.

    2015-12-01

    The National Hurricane Center (NHC) in Miami, is responsible for the forecast of tropical cyclones in the North Atlantic and Eastern North Pacific basins. As such, Mexico, Central America and Caribbean countries depend on the information issued by the NHC related to the characteristics of a particular tropical cyclone and associated watch and warning areas. Despite waves and storm surge are important hazards for marine operations and coastal dwellings, their forecast is not part of the NHC responsibilities. This work presents a rapid wave and storm surge warning system based on 3100 synthetic tropical cyclones doing landfall in Mexico. Hydrodynamic and wave models were driven by the synthetic events to create a robust database composed of maximum envelops of wind speed, significant wave height and storm surge for each event. The results were incorporated into a forecast system that uses the NHC advisory to locate the synthetic events passing inside specified radiuses for the present and forecast position of the real event. Using limited computer resources, the system displays the information meeting the search criteria, and the forecaster can select specific events to generate the desired hazard map (i.e. wind, waves, and storm surge) based on the maximum envelop maps. This system was developed in a limited time frame to be operational in 2015 by the National Hurricane and Severe Storms Unit of the Mexican National Weather Service, and represents a pilot project for other countries in the region not covered by detailed storm surge and waves forecasts.

  5. Tsunami disaster risk management capabilities in Greece

    Science.gov (United States)

    Marios Karagiannis, Georgios; Synolakis, Costas

    2015-04-01

    Greece is vulnerable to tsunamis, due to the length of the coastline, its islands and its geographical proximity to the Hellenic Arc, an active subduction zone. Historically, about 10% of all world tsunamis occur in the Mediterranean region. Here we review existing tsunami disaster risk management capabilities in Greece. We analyze capabilities across the disaster management continuum, including prevention, preparedness, response and recovery. Specifically, we focus on issues like legal requirements, stakeholders, hazard mitigation practices, emergency operations plans, public awareness and education, community-based approaches and early-warning systems. Our research is based on a review of existing literature and official documentation, on previous projects, as well as on interviews with civil protection officials in Greece. In terms of tsunami disaster prevention and hazard mitigation, the lack of tsunami inundation maps, except for some areas in Crete, makes it quite difficult to get public support for hazard mitigation practices. Urban and spatial planning tools in Greece allow the planner to take into account hazards and establish buffer zones near hazard areas. However, the application of such ordinances at the local and regional levels is often difficult. Eminent domain is not supported by law and there are no regulatory provisions regarding tax abatement as a disaster prevention tool. Building codes require buildings and other structures to withstand lateral dynamic earthquake loads, but there are no provisions for resistance to impact loading from water born debris Public education about tsunamis has increased during the last half-decade but remains sporadic. In terms of disaster preparedness, Greece does have a National Tsunami Warning Center (NTWC) and is a Member of UNESCO's Tsunami Program for North-eastern Atlantic, the Mediterranean and connected seas (NEAM) region. Several exercises have been organized in the framework of the NEAM Tsunami Warning

  6. An Axiomatic Analysis Approach for Large-Scale Disaster-Tolerant Systems Modeling

    Directory of Open Access Journals (Sweden)

    Theodore W. Manikas

    2011-02-01

    Full Text Available Disaster tolerance in computing and communications systems refers to the ability to maintain a degree of functionality throughout the occurrence of a disaster. We accomplish the incorporation of disaster tolerance within a system by simulating various threats to the system operation and identifying areas for system redesign. Unfortunately, extremely large systems are not amenable to comprehensive simulation studies due to the large computational complexity requirements. To address this limitation, an axiomatic approach that decomposes a large-scale system into smaller subsystems is developed that allows the subsystems to be independently modeled. This approach is implemented using a data communications network system example. The results indicate that the decomposition approach produces simulation responses that are similar to the full system approach, but with greatly reduced simulation time.

  7. Emergency Message Dissemination System for Smartphones During Natural Disasters

    NARCIS (Netherlands)

    Wu, Xian; Mazurowski, Maciej; Chen, Zhen; Meratnia, Nirvana

    This paper revolves around the concept of utilizing the modern smartphone communication capabilities to transmit messages through an ad hoc network during a disaster, which renders the traditional cellular base station inaccessible. Due to dynamic and decentralized nature of the considered

  8. [Evaluation and analysis of monitoring and early warning functions of the occupational disease reporting system in China].

    Science.gov (United States)

    Zhu, Xiaojun; Li, Tao; Liu, Mengxuan

    2015-06-01

    To evaluate the monitoring and early warning functions of the occupational disease reporting system right now in China, and to analyze their influencing factors. An improved audit tool (ODIT) was used to score the monitoring and early warning functions with a total score of 10. The nine indices were completeness of information on the reporting form, coverage of the reporting system, accessibility of criteria or guidelines for diagnosis, education and training for physicians, completeness of the reporting system, statistical methods, investigation of special cases, release of monitoring information, and release of early warning information. According to the evaluation, the occupational disease reporting system in China had a score of 5.5 in monitoring existing occupational diseases with a low score for release of monitoring information; the reporting system had a score of 6.5 in early warning of newly occurring occupational diseases with low scores for education and training for physicians as well as completeness of the reporting system. The occupational disease reporting system in China still does not have full function in monitoring and early warning. It is the education and participation of physicians from general hospitals in the diagnosis and treatment of occupational diseases and suspected occupational diseases that need to be enhanced. In addition, the problem of monitoring the incidence of occupational diseases needs to be solved as soon as possible.

  9. Development of earthquake early warning system using real time signal of broadband seismogram

    International Nuclear Information System (INIS)

    Gunawan, Hendar; Puspito, Nanang T.; Ibrahim, Gunawan; Harjadi, Prih

    2012-01-01

    Earthquake pose serious threat of live and properties for urban area near subduction zone offshore and active fault on land. Jakarta and Bandung is an example of big city that no system of Earthquake early warning (EEW) event very high urbanization, and has many important infra structure in the area. The capital city is potentially high risk ground shaking. EEW can be usefull tool for reducing earthquake hazard, if spatial relation between cities and earthquake source is favorable for such warning and their citizens are properly trained to response early warning message. An EEW and rapid response system can provide the critical information needed to minimized lost of live and property and direct rescue. Earthquake ground shaking with magnitude M>6.0 from zone of Megathrust, southern of West Java should potentially damage in the area of west java especially Bandung and Jakarta City. This research development of EEW parameter such as amplitude displacement (Pd), rapid magnitude determination (M) and Peak ground Velocity (PGV). We explore the practical approach to EEW with the use of Broadband seismogram signal. Time effective EEW which epicenter from megathrust zone has potential to provide EEW in the area of west java such as Jakarta first ground shaking more or less 60 second later and strong shaking 118 second after EEW Alarm on CISI Station. EEW notification at potentially damage in the area of west java can be predicted from the characteristic of Pd > 0.5 cm, M> 6 and PGV > 10 cm/sec. GIS as a tool for presentation of hazard mapping in the affected area.

  10. Fast Moment Magnitude Determination from P-wave Trains for Bucharest Rapid Early Warning System (BREWS)

    Science.gov (United States)

    Lizurek, Grzegorz; Marmureanu, Alexandru; Wiszniowski, Jan

    2017-03-01

    Bucharest, with a population of approximately 2 million people, has suffered damage from earthquakes in the Vrancea seismic zone, which is located about 170 km from Bucharest, at a depth of 80-200 km. Consequently, an earthquake early warning system (Bucharest Rapid earthquake Early Warning System or BREWS) was constructed to provide some warning about impending shaking from large earthquakes in the Vrancea zone. In order to provide quick estimates of magnitude, seismic moment was first determined from P-waves and then a moment magnitude was determined from the moment. However, this magnitude may not be consistent with previous estimates of magnitude from the Romanian Seismic Network. This paper introduces the algorithm using P-wave spectral levels and compares them with catalog estimates. The testing procedure used waveforms from about 90 events with catalog magnitudes from 3.5 to 5.4. Corrections to the P-wave determined magnitudes according to dominant intermediate depth events mechanism were tested for November 22, 2014, M5.6 and October 17, M6 events. The corrections worked well, but unveiled overestimation of the average magnitude result of about 0.2 magnitude unit in the case of shallow depth event ( H < 60 km). The P-wave spectral approach allows for the relatively fast estimates of magnitude for use in BREWS. The average correction taking into account the most common focal mechanism for radiation pattern coefficient may lead to overestimation of the magnitude for shallow events of about 0.2 magnitude unit. However, in case of events of intermediate depth of M6 the resulting M w is underestimated at about 0.1-0.2. We conclude that our P-wave spectral approach is sufficiently robust for the needs of BREWS for both shallow and intermediate depth events.

  11. Early warning system realized by ENVINET a.s., domestic and abroad

    International Nuclear Information System (INIS)

    Sury, J.; Skala, L.; Holcak, P.; Matousek, P.

    2014-01-01

    Within recent years, research and development has expanded the portfolio of applied results in the field of early warning systems - both stationary and mobile standalone. Their implementation in different areas all over the world in different climatic conditions and their coincidence of possible communication interface software, databases, data collection and assessment of the radiation situations allow the users to respond to possible events and thus significantly affect the decision-making level for the preventive countermeasures including their utilization during radiation accidents. Some of the results will be presented during the presentation: - Implementation of monitoring stations in Varazdin, Velika Gorica, Sisak, Virovitica, Beli Manastir, Zadar, Knin and Ploce in Croatia 2014. Other locations such as Plitvice, Sibenik and Koprivnica are also considered. Radiometric monitoring station NuEM RAMS, dose rate from 10 nSv h -1 to 1 Sv h -1 . - Implementation of radiation monitoring stations in Warszawa, Zagan, Wroclaw, Szczecin, Krakow, Lublin, Gdynia, Bydgoszcz, Rzeszow, Bartoszyce, Srem, Swinoujscie, and Ustka in Poland 2014-2015. Radiometric monitoring station NuEM RAMS, dose rate from 10 nSv h -1 to 9 Sv h -1 . Purpose of stations - for a radiation monitoring network in a given area and for integration into the networks of early warning system. Measurement by using smart probe with 2 (3) GM tubes according to a measuring range. Power supply from photo-voltaic panel for the standalone mode. Transmission of measured data is done by using a GSM network. Data are stored into database at a web server. - Early warning system in Latvia 2013-2014. 20 pcs of stationary spectrometric AGR or IGS type or equivalent stations, NaI (Tl) or LaBr detector for on-line identification of radionuclides based on integrated isotope base with at least 10 indicated radionuclides (K-40, Mo-99, Ru-103, Rh -106, Te-129, I-131, Te-132, I-133, Cs-134, Cs-137, and Ba-140). Objective

  12. A flexible hydrological warning system in Denmark for real-time surface water and groundwater simulations

    Science.gov (United States)

    He, Xin; Stisen, Simon; Wiese, Marianne B.; Jørgen Henriksen, Hans

    2015-04-01

    In Denmark, increasing focus on extreme weather events has created considerable demand for short term forecasts and early warnings in relation to groundwater and surface water flooding. The Geological Survey of Denmark and Greenland (GEUS) has setup, calibrated and applied a nationwide water resources model, the DK-Model, primarily for simulating groundwater and surface water flows and groundwater levels during the past 20 years. So far, the DK-model has only been used in offline historical and future scenario simulations. Therefore, challenges arise in operating such a model for online forecasts and early warnings, which requires access to continuously updated observed climate input data and forecast data of precipitation, temperature and global radiation for the next 48 hours or longer. GEUS has a close collaboration with the Danish Meteorological Institute in order to test and enable this data input for the DK model. Due to the comprehensive physical descriptions of the DK-Model, the simulation results can potentially be any component of the hydrological cycle within the models domain. Therefore, it is important to identify which results need to be updated and saved in the real-time mode, since it is not computationally economical to save every result considering the heavy load of data. GEUS have worked closely with the end-users and interest groups such as water planners and emergency managers from the municipalities, water supply and waste water companies, consulting companies and farmer organizations, in order to understand their possible needs for real time simulation and monitoring of the nationwide water cycle. This participatory process has been supported by a web based questionnaire survey, and a workshop that connected the model developers and the users. For qualifying the stakeholder engagement, GEUS has selected a representative catchment area (Skjern River) for testing and demonstrating a prototype of the web based hydrological warning system at the

  13. Dataset: Qualitative investigation of data-driven decision making within a control room for disaster monitoring and early-warning in Brazil

    OpenAIRE

    Horita, E. A. Flavio; Porto de Albuquerque, João; Marchezini, V.; Mendiondo, E. M.

    2018-01-01

    With the emergence of big data and new data sources, a challenge posed to today's organizations consists of identifying how to align their decision-making and organizational processes to data that could help them make better-informed decisions. This paper presents a study in the context of disaster management in Brazil that applies oDMN +, a framework that connects decision-making with data sources through an extended modeling notation and a modeling process. The study results revealed that t...

  14. A web based on-line radiation early warning system for emergency preparedness and response centre

    International Nuclear Information System (INIS)

    Bhujbal, Vaibhav; Saindane, Shashank S.; Narasaiah, M.V.R.; Murali, S.

    2018-01-01

    The topography of the Bhabha Atomic Research Centre, Trombay site, where all major components of nuclear fuel cycle activities are located is very complex in nature. The assessment of the radiological impact, if any, due to atmospheric releases from these facilities within BARC site is being carried out by using a Local Area Network (LAN) based Radiation Early Warning System and meteorological parameters. The upgraded system is aimed at providing data during normal operation of the various facilities at site and for providing early warning to decision makers in case of any onset of an emergency. It is carried out by acquiring both on-line and off-line data on releases from the plants, the environmental radiation dose rate at selected locations and other related parameters. The monitors placed at these selected locations including strategic point around the BARC site can also help in detecting any attempt of unauthorized trafficking of the radioactive sources. This paper explains different aspects of the system operating at BARC

  15. Design of early warning system for nuclear preparedness case study at Serpong

    Science.gov (United States)

    Farid, M. M.; Prawito, Susila, I. P.; Yuniarto, A.

    2017-07-01

    One effort to protect the environment from the increasing of potentially environmental radiation hazards as an impact of radiation discharge around nuclear facilities is by a continuous monitoring of the environmental radiation in real time It is important to disclose the dose rate information to public or authorities for radiological protection. In this research, we have designed a nuclear preparedness early warning system around the Serpong nuclear facility. The design is based on Arduino program, general packet radio service (GPRS) shield, and radio frequencies technology to transmit environmental radiation result of the measurement and meteorological data. Data was collected at a certain location at The Center for Informatics and Nuclear Strategic Zone Utilization BATAN Serpong. The system consistency models are defined by the quality of data and the level of radiation exposure in the deployed environment. Online users can access the website which displays the radiation dose on the environment marked on Google Map. This system is capable to issue an early warning emergency when the dose reaches three times of the background radiation exposure value, 250 nSv/hour.

  16. Applying Feedback Analysis on Citizen’s Participation System of CSFLU Barangays on Disaster Preparedness

    Science.gov (United States)

    Ocampo, A. J.; Baro, R.; Palaoag, T.

    2018-03-01

    Various initiatives through the use of ICT paved the way to better improve the services of the government during disaster situations. It helped in the preparation and mitigation process during disaster situations through different mediums such as Social Networking Sites and SMS to disseminate information. However, data that are gathered from this medium are not sufficient to address the problem experienced by the citizens, thus the concept of Citizen’s participation system was developed. The objective of the study is to provide a mechanism or tool for barangay officials and the city government to strategically plan preventive measures during times of disasters based on the citizen’s perspective, data analytics gathered from sentiments, suggestions, and feedback of the citizens was analysed using of Feedback Analysis in order to provide accuracy of data which is needed by the disaster response team that will be generated through data analytics.

  17. Perancangan Prototype Early Warning System pada Kontrol On/Off Belt Conveyor Menggunakan PLC Siemens S7-300

    Directory of Open Access Journals (Sweden)

    Taufik Taufik

    2016-04-01

    Full Text Available Nowadays, automation system become an important aspect of the manufacturing process because could make integration manufacturing process on it more effective and more efficient. PLC or Programmable Logic Controller is one kind of automation system. Many industries use PLC as automation control device in the manufacturing process to control all kind of process. For example at transportation process of coals in generator industry. Coals could be burned because main elements of coals are carbon, hydrogen, and oxygen. Base on this prototype early warning system design, we get the result if sensor thermocouple detects temperature larger than setpoint temperature (it is 2000C, then PLC will give an order to shut down the output, that is a belt conveyor. The result of this prototype design could use at coals transportation as an early warning system. The design of prototype early warning system could detect and prevent fire because of the consequence of burned coals until spreading of fire could be avoided.

  18. [Results of applying a paediatric early warning score system as a healthcare quality improvement plan].

    Science.gov (United States)

    Rivero-Martín, M J; Prieto-Martínez, S; García-Solano, M; Montilla-Pérez, M; Tena-Martín, E; Ballesteros-García, M M

    2016-06-01

    The aims of this study were to introduce a paediatric early warning score (PEWS) into our daily clinical practice, as well as to evaluate its ability to detect clinical deterioration in children admitted, and to train nursing staff to communicate the information and response effectively. An analysis was performed on the implementation of PEWS in the electronic health records of children (0-15 years) in our paediatric ward from February 2014 to September 2014. The maximum score was 6. Nursing staff reviewed scores >2, and if >3 medical and nursing staff reviewed it. Monitoring indicators: % of admissions with scoring; % of complete data capture; % of scores >3; % of scores >3 reviewed by medical staff, % of changes in treatment due to the warning system, and number of patients who needed Paediatric Intensive Care Unit (PICU) admission, or died without an increased warning score. The data were collected from all patients (931) admitted. The scale was measured 7,917 times, with 78.8% of them with complete data capture. Very few (1.9%) showed scores >3, and 14% of them with changes in clinical management (intensifying treatment or new diagnostic tests). One patient (scored 2) required PICU admission. There were no deaths. Parents or nursing staff concern was registered in 80% of cases. PEWS are useful to provide a standardised assessment of clinical status in the inpatient setting, using a unique scale and implementing data capture. Because of the lack of severe complications requiring PICU admission and deaths, we will have to use other data to evaluate these scales. Copyright © 2016 SECA. Published by Elsevier Espana. All rights reserved.

  19. COPEWELL: A Conceptual Framework and System Dynamics Model for Predicting Community Functioning and Resilience After Disasters.

    Science.gov (United States)

    Links, Jonathan M; Schwartz, Brian S; Lin, Sen; Kanarek, Norma; Mitrani-Reiser, Judith; Sell, Tara Kirk; Watson, Crystal R; Ward, Doug; Slemp, Cathy; Burhans, Robert; Gill, Kimberly; Igusa, Tak; Zhao, Xilei; Aguirre, Benigno; Trainor, Joseph; Nigg, Joanne; Inglesby, Thomas; Carbone, Eric; Kendra, James M

    2018-02-01

    Policy-makers and practitioners have a need to assess community resilience in disasters. Prior efforts conflated resilience with community functioning, combined resistance and recovery (the components of resilience), and relied on a static model for what is inherently a dynamic process. We sought to develop linked conceptual and computational models of community functioning and resilience after a disaster. We developed a system dynamics computational model that predicts community functioning after a disaster. The computational model outputted the time course of community functioning before, during, and after a disaster, which was used to calculate resistance, recovery, and resilience for all US counties. The conceptual model explicitly separated resilience from community functioning and identified all key components for each, which were translated into a system dynamics computational model with connections and feedbacks. The components were represented by publicly available measures at the county level. Baseline community functioning, resistance, recovery, and resilience evidenced a range of values and geographic clustering, consistent with hypotheses based on the disaster literature. The work is transparent, motivates ongoing refinements, and identifies areas for improved measurements. After validation, such a model can be used to identify effective investments to enhance community resilience. (Disaster Med Public Health Preparedness. 2018;12:127-137).

  20. Reconsidering disaster resilience: a nonlinear systems paradigm in agricultural communities in Southern Africa

    DEFF Research Database (Denmark)

    Coetzee, Christo; van Niekerk, Dewald; Raju, Emmanuel

    2017-01-01

    Disasters continue to have a dramatic impact on lives, livelihoods and environments communities depend on. In response to these losses, the global community has developed various theories, assessment methodologies and policies aimed at reducing global losses. A contemporary outcome of these inter......Disasters continue to have a dramatic impact on lives, livelihoods and environments communities depend on. In response to these losses, the global community has developed various theories, assessment methodologies and policies aimed at reducing global losses. A contemporary outcome...... of these interventions is to build the disaster resilience. However, despite the disaster resilience-building endeavours espoused by policies, theories and methodologies, very little progress is being made in reducing disaster losses. This paper argues that a possible reason behind the limitations of current resilience...... on a ‘one-size-fits-all’ approach. This paper argues for the use of a complex adaptive systems approach to building resilience. This approach argues that contextual factors within different social systems will have a nonlinear affect on disaster resilience-building efforts. Therefore, it is crucial to move...

  1. Development of an advanced radioactive airborne particle monitoring system for use in early warning networks.

    Science.gov (United States)

    Baeza, A; Corbacho, J A; Caballero, J M; Ontalba, M A; Vasco, J; Valencia, D

    2017-09-25

    Automatic real-time warning networks are essential for the almost immediate detection of anomalous levels of radioactivity in the environment. In the case of Extremadura region (SW Spain), a radiological network (RARE) has been operational in the vicinity of the Almaraz nuclear power plant and in other areas farther away since 1992. There are ten air monitoring stations equipped with Geiger-Müller counters in order to evaluate the external ambient gamma dose rate. Four of these stations have a commercial system that provides estimates of the total artificial alpha and beta activity concentrations in aerosols, and of the 131 I activity (gaseous fraction). Despite experience having demonstrated the benefits and robustness of these commercial systems, important improvements have been made to one of these air monitoring systems. In this paper, the analytical and maintenance shortcomings of the original commercial air monitoring system are described first; the new custom-designed advanced air monitoring system is then presented. This system is based mainly on the incorporation of gamma spectrometry using two scintillation detectors, one of NaI:Tl and the other of LaBr 3 :Ce, and compact multichannel analysers. Next, a comparison made of the results provided by the two systems operating simultaneously at the same location for three months shows the advantages of the new advanced air monitoring system. As a result, the gamma spectrometry analysis allows passing from global alpha and beta activity determinations due to artificial radionuclides in aerosols, and the inaccurate measurement of the gaseous 131 I activity concentration, to the possibility of identifying a large number of radionuclides and quantifying each of their activity concentrations. Moreover, the new station's dual capacity is designed to work in early warning monitoring mode and surveillance monitoring mode. This is based on custom developed software that includes an intelligent system to issue the

  2. Setting up a French national flash flood warning system for ungauged catchments based on the AIGA method

    Directory of Open Access Journals (Sweden)

    Javelle Pierre

    2016-01-01

    Full Text Available Occurring at small temporal and spatial scales, flash floods (FF can cause severe economic damages and human losses. To better anticipate such events and mitigate their impacts, the French Ministry in charge of Ecology has decided to set up a national FF warning system over the French territory. This automated system will be run by the SCHAPI, the French national service in charge of flood forecasting, providing warnings for fast-responding ungauged catchments (area ranging from ~10 to ~1000 km2. It will therefore be complementary to the SCHAPI’s national “vigilance” system which concerns only gauged catchments. The FF warning system to be implemented in 2017 will be based on a discharge-threshold flood warning method called AIGA (Javelle et al. 2014. This method has been experimented in real time in the south of France in the RHYTMME project (http://rhytmme.irstea.fr. It consists in comparing discharges generated by a simple conceptual hourly hydrologic model run at a 1-km2 resolution to reference flood quantiles of different (e.g., 2-, 10- and 50-year return periods. Therefore the system characterizes in real time the severity of ongoing events by the range of the return period estimated by AIGA at any point along the river network. The hydrologic model ingests operational rainfall radar-gauge products from Météo-France and takes into account the baseflow and the initial soil humidity conditions to better estimate the basin response to rainfall inputs. To meet the requirements of the future FF warning system, the AIGA method has been extended to the whole French territory (except Corsica and overseas French territories. The calibration, regionalization and validation procedures of the hydrologic model were carried out using data for ~700 hydrometric stations from the 2002-2015 period. Performance of the warning system was evaluated with various contingency criteria (e.g., probability of detection and success rate. Furthermore, specific

  3. Birth, growth and progresses through the last twelve years of a regional scale landslide warning system

    Science.gov (United States)

    Fanti, Riccardo; Segoni, Samuele; Rosi, Ascanio; Lagomarsino, Daniela; Catani, Filippo

    2017-04-01

    SIGMA is a regional landslide warning system that operates in the Emilia Romagna region (Italy). In this work, we depict its birth and the continuous development process, still ongoing, after over a decade of operational employ. Traditionally, landslide rainfall thresholds are defined by the empirical correspondence between a rainfall database and a landslide database. However, in the early stages of the research, a complete catalogue of dated landslides was not available. Therefore, the prototypal version of SIGMA was based on rainfall thresholds defined by means of a statistical analysis performed over the rainfall time series. SIGMA was purposely designed to take into account both shallow and deep seated landslides and it was based on the hypothesis that anomalous or extreme values of accumulated rainfall are responsible for landslide triggering. The statistical distribution of the rainfall series was analyzed, and multiples of the standard deviation (σ) were used as thresholds to discriminate between ordinary and extraordinary rainfall events. In the warning system, the measured and the forecasted rainfall are compared with these thresholds. Since the response of slope stability to rainfall may be complex, SIGMA is based on a decision algorithm aimed at identifying short but exceptionally intense rainfalls and mild but exceptionally prolonged rains: while the former are commonly associated with shallow landslides, the latter are mainly associated with deep-seated landslides. In the first case, the rainfall threshold is defined by high σ values and short durations (i.e. a few days); in the second case, σ values are lower but the decision algorithm checks long durations (i.e. some months). The exact definition of "high" and "low" σ values and of "short" and "long" duration varied through time according as it was adjusted during the evolution of the model. Indeed, since 2005, a constant work was carried out to gather and organize newly available data (rainfall

  4. Evaluation of a sudden brake warning system: effect on the response time of the following driver.

    Science.gov (United States)

    Isler, Robert B; Starkey, Nicola J

    2010-07-01

    This study used a video-based braking simulation dual task to carry out a preliminary evaluation of the effect of a sudden brake warning system (SBWS) in a leading passenger vehicle on the response time of the following driver. The primary task required the participants (N=25, 16 females, full NZ license holders) to respond to sudden braking manoeuvres of a lead vehicle during day and night driving, wet and dry conditions and in rural and urban traffic, while concurrently performing a secondary tracking task using a computer mouse. The SBWS in the lead vehicle consisted of g-force controlled activation of the rear hazard lights (the rear indicators flashed), in addition to the standard brake lights. Overall, the results revealed that responses to the braking manoeuvres of the leading vehicles when the hazard lights were activated by the warning system were 0.34 s (19%) faster compared to the standard brake lights. The SBWS was particularly effective when the simulated braking scenario of the leading vehicle did not require an immediate and abrupt braking response. Given this, the SBWS may also be beneficial for allowing smoother deceleration, thus reducing fuel consumption. These preliminary findings justify a larger, more ecologically valid laboratory evaluation which may lead to a naturalistic study in order to test this new technology in 'real world' braking situations. Copyright 2009 Elsevier Ltd. All rights reserved.

  5. Heatwave Early Warning Systems and Adaptation Advice to Reduce Human Health Consequences of Heatwaves

    Directory of Open Access Journals (Sweden)

    Bertil Forsberg

    2011-12-01

    Full Text Available Introduction: With climate change, there has been an increase in the frequency, intensity and duration of heatwave events. In response to the devastating mortality and morbidity of recent heatwave events, many countries have introduced heatwave early warning systems (HEWS. HEWS are designed to reduce the avoidable human health consequences of heatwaves through timely notification of prevention measures to vulnerable populations. Objective: To identify the key characteristics of HEWS in European countries to help inform modification of current, and development of, new systems and plans. Methods: We searched the internet to identify HEWS policy or government documents for 33 European countries and requested information from relevant organizations. We translated the HEWS documents and extracted details on the trigger indicators, thresholds for action, notification strategies, message intermediaries, communication and dissemination strategies, prevention strategies recommended and specified target audiences. Findings and Conclusions: Twelve European countries have HEWS. Although there are many similarities among the HEWS, there also are differences in key characteristics that could inform improvements in heatwave early warning plans.

  6. Study on integrated approach of Nuclear Accident Hazard Predicting, Warning, and Optimized Controlling System based on GIS

    International Nuclear Information System (INIS)

    Tang Lijuan; Huang Shunxiang; Wang Xinming

    2012-01-01

    The issue of nuclear safety becomes the attention focus of international society after the nuclear accident happened in Fukushima. Aiming at the requirements of the prevention and controlling of Nuclear Accident establishment of Nuclear Accident Hazard Predicting, Warning and optimized Controlling System (NAPWS) is a imperative project that our country and army are desiderating, which includes multiple fields of subject as nuclear physics, atmospheric science, security science, computer science and geographical information technology, etc. Multiplatform, multi-system and multi-mode are integrated effectively based on GIS, accordingly the Predicting, Warning, and Optimized Controlling technology System of Nuclear Accident Hazard is established. (authors)

  7. A warning system based on the RFID technology for running-out of injection fluid.

    Science.gov (United States)

    Huang, Chi-Fang; Lin, Jen-Hung

    2011-01-01

    For providing an automatic warning system of running-out of injection fluid, RFID technology is applied in this work to propose an infrastructure with low cost to help nurses and patient's company. Specially, a RFID tag is designed and attached on a bag of intravenous drip to demonstrate the benefits in the present system. The main idea of this system is that, tag is disabled when the bag is not empty because of the EM loading due to the liquid contained. The bag can be any kind in the current market and be without any electronic attachment or modification. LAN (Local Area Network) is also applied as a part of this infrastructure for data transmission.

  8. A Simple Early Warning System for Evaluating the Credit Portfolio's Quality

    Directory of Open Access Journals (Sweden)

    Nicolae Dardac

    2009-05-01

    Full Text Available The last decade has witnessed the development of a vast literature devoted to the study of several phenomena like banking crises or episodes of vulnerability and distress, characterized by inadequate capitalization, impairment of the asset quality and of the credit institutions' rating. The purpose of this study is to design an early warning system in order to highlight at an earlier stage the likelihood of deterioration of the Romanian banking system credit portfolio's quality. We have applied an econometric model which constitutes a reference for this type of analysis, having as purpose the identification of a significant correlation between increasing weight of bad loans in total assets, on the one hand, and a number of macroeconomic variables and indicators of the banking system, on the other hand.

  9. Linear stability theory as an early warning sign for transitions in high dimensional complex systems

    International Nuclear Information System (INIS)

    Piovani, Duccio; Grujić, Jelena; Jensen, Henrik Jeldtoft

    2016-01-01

    We analyse in detail a new approach to the monitoring and forecasting of the onset of transitions in high dimensional complex systems by application to the Tangled Nature model of evolutionary ecology and high dimensional replicator systems with a stochastic element. A high dimensional stability matrix is derived in the mean field approximation to the stochastic dynamics. This allows us to determine the stability spectrum about the observed quasi-stable configurations. From overlap of the instantaneous configuration vector of the full stochastic system with the eigenvectors of the unstable directions of the deterministic mean field approximation, we are able to construct a good early-warning indicator of the transitions occurring intermittently. (paper)

  10. Evaluating probabilistic dengue risk forecasts from a prototype early warning system for Brazil

    Science.gov (United States)

    Lowe, Rachel; Coelho, Caio AS; Barcellos, Christovam; Carvalho, Marilia Sá; Catão, Rafael De Castro; Coelho, Giovanini E; Ramalho, Walter Massa; Bailey, Trevor C; Stephenson, David B; Rodó, Xavier

    2016-01-01

    Recently, a prototype dengue early warning system was developed to produce probabilistic forecasts of dengue risk three months ahead of the 2014 World Cup in Brazil. Here, we evaluate the categorical dengue forecasts across all microregions in Brazil, using dengue cases reported in June 2014 to validate the model. We also compare the forecast model framework to a null model, based on seasonal averages of previously observed dengue incidence. When considering the ability of the two models to predict high dengue risk across Brazil, the forecast model produced more hits and fewer missed events than the null model, with a hit rate of 57% for the forecast model compared to 33% for the null model. This early warning model framework may be useful to public health services, not only ahead of mass gatherings, but also before the peak dengue season each year, to control potentially explosive dengue epidemics. DOI: http://dx.doi.org/10.7554/eLife.11285.001 PMID:26910315

  11. Integrated representation of hydropower facilities in an operational flood warning system for a mountainous watershed

    Directory of Open Access Journals (Sweden)

    Claude Aurélien

    2016-01-01

    Full Text Available An integrated flood forecasting system adapted to mountain basins is under construction at the flood forecasting service of the French Northern Alps (SPCAN, whose jurisdiction area covers the whole Isère River basin (12000km2. Most parts of this area are harnessed for hydropower production, thus modifying flows at all the main sections of the stream network. A semi-distributed conceptual modeling approach was chosen for predicting warning levels at daily time step. Before giving results on the strategic warning point of Montmèlian, simulations on two representative sub-basins of about 1000 km2 are detailed. The first sub-basin includes the large Sautet dam, on the Drac River. The second, on the Isère River, includes the large dam of Tignes and is characterized by multiple diversions. The influence of hydroelectric facilities was analyzed for reconstituting natural flows. Then, a two-steps modeling strategy was deployed: firstly, natural reconstituted flows were simulated; next, the effect of hydroelectric works was introduced, considering the operating status of the main reservoirs and of the water intakes, the latter being aggregated together as a unique equivalent device. While keeping a reasonable level of model complexity, the developed tool provides accurate simulations of observed flood events and is planned to be further used in real-time.

  12. Assessing the accuracy of forecasting: applying standard diagnostic assessment tools to a health technology early warning system.

    Science.gov (United States)

    Simpson, Sue; Hyde, Chris; Cook, Alison; Packer, Claire; Stevens, Andrew

    2004-01-01

    Early warning systems are an integral part of many health technology assessment programs. Despite this finding, to date, there have been no quantitative evaluations of the accuracy of predictions made by these systems. We report a study evaluating the accuracy of predictions made by the main United Kingdom early warning system. As prediction of impact is analogous to diagnosis, a method normally applied to determine the accuracy of diagnostic tests was used. The sensitivity, specificity, and predictive values of the National Horizon Scanning Centre's prediction methods were estimated with reference to an (imperfect) gold standard, that is, expert opinion of impact 3 to 5 years after prediction. The sensitivity of predictions was 71 percent (95 percent confidence interval [CI], 0.36-0.92), and the specificity was 73 percent (95 percent CI, 0.64-0.8). The negative predictive value was 98 percent (95 percent CI, 0.92-0.99), and the positive predictive value was 14 percent (95 percent CI, 0.06-0.3). Forecasting is difficult, but the results suggest that this early warning system's predictions have an acceptable level of accuracy. However, there are caveats. The first is that early warning systems may themselves reduce the impact of a technology, as helping to control adoption and diffusion is their main purpose. The second is that the use of an imperfect gold standard may bias the results. As early warning systems are viewed as an increasingly important component of health technology assessment and decision making, their outcomes must be evaluated. The method used here should be investigated further and the accuracy of other early warning systems explored.

  13. Three-Dimensional Maps for Disaster Management

    Science.gov (United States)

    Bandrova, T.; Zlatanova, S.; Konecny, M.

    2012-07-01

    Geo-information techniques have proven their usefulness for the purposes of early warning and emergency response. These techniques enable us to generate extensive geo-information to make informed decisions in response to natural disasters that lead to better protection of citizens, reduce damage to property, improve the monitoring of these disasters, and facilitate estimates of the damages and losses resulting from them. The maintenance and accessibility of spatial information has improved enormously with the development of spatial data infrastructures (SDIs), especially with second-generation SDIs, in which the original product-based SDI was improved to a process-based SDI. Through the use of SDIs, geo-information is made available to local, national and international organisations in regions affected by natural disasters as well as to volunteers serving in these areas. Volunteer-based systems for information collection (e.g., Ushahidi) have been created worldwide. However, the use of 3D maps is still limited. This paper discusses the applicability of 3D geo-information to disaster management. We discuss some important aspects of maps for disaster management, such as user-centred maps, the necessary components for 3D maps, symbols, and colour schemas. In addition, digital representations are evaluated with respect to their visual controls, i.e., their usefulness for the navigation and exploration of the information. Our recommendations are based on responses from a variety of users of these technologies, including children, geospecialists and disaster managers from different countries.

  14. Identifying and confirming information and system quality requirements for multi-agency disaster management

    NARCIS (Netherlands)

    Bharosa, N.; Appelman, J.A.; Van Zanten, B.; Zuurmond, A.

    2009-01-01

    This paper investigates the relevance and assurance of information and system quality as requirements for information systems success during disaster management. Despite the many examples of poor information quality and poor system quality, research on the relevance and assurance of these

  15. Towards the construction of a Drought Early Warning System in México

    Science.gov (United States)

    Neri, C.; Magaña, V. O.

    2011-12-01

    Droughts in Mexico are related to severe impacts in agricultural and livestock activities, water management and with the occurrence of wildfire. Droughts are recurrent, on time scales from years to decades. The impacts however, depend on the vulnerability. The negative impacts may be reduced by studying and monitoring the dynamical evolution of meteorological drought, and by identifying the factors that result in vulnerability, in the context of risk management. Considering the analysis of the vulnerability in the northern of Mexico, a semiarid region highly vulnerable to drought, a Drought Early Warning System was created based on the use of climate information. The first step was to identify the capacity to provide useful climate information to develop prevention actions. Results confirm that the drought in northern Mexico is a well-diagnosed phenomenon from the point of view of impacts in various sectors. However, the use of climate information is still very limited resulting in response to mitigate drought impacts rather than preparing for drought. Part of the problem is the limited capacity to interpret probabilistic forecasts to define actions. Therefore, a key element in a Drought Early Warning System is the development of reliable climate information and the use of indicators to determine of the onset, maximum intensity and duration of the event. The occurrence and severity of drought may be estimated using climate diagnosis and forecast. A preventive response to drought may be defined if the severity and duration surpass a threshold value after which a decision action should be made. In order to establish the relevance of indicators for drought risk management, retroactive analyses have been developed considering the case of northwestern Mexico. After a vulnerability analysis that considers the institutional capacity to make use of climate information, a Drought Early warning System has been designed that considers a number of actions that may be put

  16. Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy.

    Science.gov (United States)

    Ramgopal, Sriram; Thome-Souza, Sigride; Jackson, Michele; Kadish, Navah Ester; Sánchez Fernández, Iván; Klehm, Jacquelyn; Bosl, William; Reinsberger, Claus; Schachter, Steven; Loddenkemper, Tobias

    2014-08-01

    Nearly one-third of patients with epilepsy continue to have seizures despite optimal medication management. Systems employed to detect seizures may have the potential to improve outcomes in these patients by allowing more tailored therapies and might, additionally, have a role in accident and SUDEP prevention. Automated seizure detection and prediction require algorithms which employ feature computation and subsequent classification. Over the last few decades, methods have been developed to detect seizures utilizing scalp and intracranial EEG, electrocardiography, accelerometry and motion sensors, electrodermal activity, and audio/video captures. To date, it is unclear which combination of detection technologies yields the best results, and approaches may ultimately need to be individualized. This review presents an overview of seizure detection and related prediction methods and discusses their potential uses in closed-loop warning systems in epilepsy. Copyright © 2014. Published by Elsevier Inc.

  17. Setting up an early warning system for epidemic-prone diseases in Darfur: a participative approach.

    Science.gov (United States)

    Pinto, Augusto; Saeed, Mubarak; El Sakka, Hammam; Rashford, Adrienne; Colombo, Alessandro; Valenciano, Marta; Sabatinelli, Guido

    2005-12-01

    In April-May 2004, the World Health Organization (WHO) implemented, with local authorities, United Nations (UN) agencies and non-governmental organisations (NGOs), an early warning system (EWS) in Darfur, West Sudan, for internally displaced persons (IDPs). The number of consultations and deaths per week for 12 health events is recorded for two age groups (less than five years and five years and above). Thresholds are used to detect potential outbreaks. Ten weeks after the introduction of the system, NGOs were covering 54 camps, and 924,281 people (IDPs and the host population). Of these 54 camps, 41 (76%) were reporting regularly under the EWS. Between 22 May and 30 July, 179,795 consultations were reported: 18.7% for acute respiratory infections; 15% for malaria; 8.4% for bloody diarrhoea; and 1% for severe acute malnutrition. The EWS is useful for detecting outbreaks and monitoring the number of consultations required to trigger actions, but not for estimating mortality.

  18. Human-computer interaction for alert warning and attention allocation systems of the multimodal watchstation

    Science.gov (United States)

    Obermayer, Richard W.; Nugent, William A.

    2000-11-01

    The SPAWAR Systems Center San Diego is currently developing an advanced Multi-Modal Watchstation (MMWS); design concepts and software from this effort are intended for transition to future United States Navy surface combatants. The MMWS features multiple flat panel displays and several modes of user interaction, including voice input and output, natural language recognition, 3D audio, stylus and gestural inputs. In 1999, an extensive literature review was conducted on basic and applied research concerned with alerting and warning systems. After summarizing that literature, a human computer interaction (HCI) designer's guide was prepared to support the design of an attention allocation subsystem (AAS) for the MMWS. The resultant HCI guidelines are being applied in the design of a fully interactive AAS prototype. An overview of key findings from the literature review, a proposed design methodology with illustrative examples, and an assessment of progress made in implementing the HCI designers guide are presented.

  19. Early warning system of drought for risk assessment and risk management

    International Nuclear Information System (INIS)

    Chub, V.E.; Agaltseva, N.A.; Myagkov, S.V.

    2004-01-01

    In Article 10 point 2 of the UN Convention to Combat Desertification and Drought it is pointed out that the National Action Plans 'envisage the strengthening of the national basis of the climatic, meteorological and hydrological studies and the extending the possibilities for the creation of the system of the early drought forecasting'. The Pilot Project << Early warning system of Drought,, was executed in Uzbekistan at support of Germany project on Convention to combat Desertification (GTZ-CCD). The objective of the project is the creation of the regional automated information system for the early drought warning (AISEWS). In the framework of the project it is proposed to fulfil the main following tasks: - development of concepts of preparing the databases on drought factors and keeping on the databank of drought conditions on territory of Republic Uzbekistan; - the creation of the regional informational basis of the hydro meteorological and agrometeorological information and the system of its keeping on the basis of GIS technique; - analysis of hydro meteorological situations causing the drought in the Aral sea basin; - experimental agrometeorological (in the course of the field studies) and numerical estimation of the parameters of the model of the runoff formation and soil drought; - adaptation of the models complex set of the runoff formation for hydrological objects; - development of out the technique for the long-term drought forecasting basing on the mathematical models of the runoff formation in the river basin; -development of the computer information system for the early drought forecasting with the elements of the operational information transfer to the users. For the Central Asian region the drought means, first of all, the deficit of the water resources that is why the forecasting of the water availability in rivers in the years with the water deficit is of the utmost importance. The following tasks should be fulfilled for the achieving the designed

  20. Detection of rain events in radiological early warning networks with spectro-dosimetric systems

    Science.gov (United States)

    Dąbrowski, R.; Dombrowski, H.; Kessler, P.; Röttger, A.; Neumaier, S.

    2017-10-01

    Short-term pronounced increases of the ambient dose equivalent rate, due to rainfall are a well-known phenomenon. Increases in the same order of magnitude or even below may also be caused by a nuclear or radiological event, i.e. by artificial radiation. Hence, it is important to be able to identify natural rain events in dosimetric early warning networks and to distinguish them from radiological events. Novel spectrometric systems based on scintillators may be used to differentiate between the two scenarios, because the measured gamma spectra provide significant nuclide-specific information. This paper describes three simple, automatic methods to check whether an dot H*(10) increase is caused by a rain event or by artificial radiation. These methods were applied to measurements of three spectrometric systems based on CeBr3, LaBr3 and SrI2 scintillation crystals, investigated and tested for their practicability at a free-field reference site of PTB.

  1. The Early Warning System and the EU’s subsidiarity principle: the Basque Parliament’s application

    Directory of Open Access Journals (Sweden)

    José Luis de Castro Ruano

    2012-09-01

    Full Text Available This article analyses and evaluates the Basque Parliament’s participation in the EU’s Early Warning System (EWS for checking the application of the subsidiarity principle in the EU’s legislative process. The Early Warning System is an instrument created by the Lisbon Treaty (signed in 2007 and in force since 2009 to safeguard the subsidiarity principle. One of its most interesting innovations is that it facilitates the participation of regional parliaments in the control of the subsidiarity principle. Two years after its introduction, the Basque Parliament is one of the most active regional actors in this regard.

  2. Study of Landslide Disaster Prevention System in Malaysia as a Disaster Mitigation Prototype for South East Asia Countries

    Science.gov (United States)

    Koay, Swee Peng; Fukuoka, Hiroshi; Tien Tay, Lea; Murakami, Satoshi; Koyama, Tomofumi; Chan, Huah Yong; Sakai, Naoki; Hazarika, Hemanta; Jamaludin, Suhaimi; Lateh, Habibah

    2016-04-01

    Every year, hundreds of landslides occur in Malaysia and other tropical monsoon South East Asia countries. Therefore, prevention casualties and economical losses, by rain induced slope failure, are those countries government most important agenda. In Malaysia, millions of Malaysian Ringgit are allocated for slope monitoring and mitigation in every year budget. Besides monitoring the slopes, here, we propose the IT system which provides hazard map information, landslide historical information, slope failure prediction, knowledge on natural hazard, and information on evacuation centres via internet for user to understand the risk of landslides as well as flood. Moreover, the user can obtain information on rainfall intensity in the monitoring sites to predict the occurrence of the slope failure. Furthermore, we are working with PWD, Malaysia to set the threshold value for the landslide prediction system which will alert the officer if there is a risk of the slope failure in the monitoring sites by calculating rainfall intensity. Although the IT plays a significant role in information dissemination, education is also important in disaster prevention by educating school students to be more alert in natural hazard, and there will be bottom up approach to alert parents on what is natural hazard, by conversion among family members, as most of the parents are busy and may not have time to attend natural hazard workshop. There are many races living in Malaysia as well in most of South East Asia countries. It is not easy to educate them in single education method as the level of living and education are different. We started landslides education workshops in primary schools in rural and urban area, in Malaysia. We found out that we have to use their mother tongue language while conducting natural hazard education for better understanding. We took questionnaires from the students before and after the education workshop. Learning from the questionnaire result, the students are

  3. A search for applications of Fiber Optics in early warning systems for natural hazards.

    Science.gov (United States)

    Wenker, Koen; Bogaard, Thom

    2013-04-01

    In order to reduce the societal risk associated with natural hazards novel technologies could help to advance in early warning systems. In our study we evaluate the use of multi-sensor technologies as possible early-warning systems for landslides and man-made structures, and the integration of the information in a simple Decision Support System (DSS). In this project, particular attention will be paid to some new possibilities available in the field of distributed monitoring systems of relevant parameters for landslide and man-made structures monitoring (such as large dams and bridges), and among them the distributed monitoring of temperature, strain and acoustic signals by FO cables. Fiber Optic measurements are becoming more and more popular. Fiber optic cables have been developed in the telecommunication business to send large amounts of information over large distances with the speed of light. Because of the commercial application, production costs are relatively low. Using fiber optics for measurements has several advantages. This novel technology is, for instance, immune to electromagnetic interference, appears stable, very accurate, and has the potential to measure several independent physical properties in a distributed manner. The high resolution spatial and temporal distributed information on e.g. temperature or strain (or both) make fiber optics an interesting measurement technique. Several applications have been developed in both engineering as science and the possibilities seem numerous. We will present a thorough literature review that was done to assess the applicability and limitations of FO cable technology. This review was focused but not limited to application in landslide research. Several examples of current practices will be shown, also from outside the natural hazard practice and possible application will be discussed.

  4. LDAR, A Three-Dimensional Lightning Warning System: Its Development and Use by the Government, and Transition to Public Availability

    Science.gov (United States)

    Starr, Stan; Sharp, David; Merceret, Francis; Madura, John; Murphy, Martin

    1998-01-01

    NASA, at the John F. Kennedy Space Center (KSC), developed and operates a unique high precision lightning location system to provide lightning related weather warnings. These warnings are used to stop lightning-sensitive operations such as space vehicle launches and ground operations where equipment and personnel are at risk. The data is provided to the Range Weather Operations [45th Weather Squadron, U. S. Air Force (USAF)] where it is used with other meteorological data to issue weather advisories and warnings for Cape Canaveral Air Station (CCAS) and KSC operations. This system, called Lightning Detection and Ranging (LDAR), provides users with a graphical display in three dimensions of 66 MHz radio frequency events generated by lightning processes. The locations of these events provide a sound basis for the prediction of lightning hazards. NASA and Global Atmospherics, Inc. are developing a new system that will replace the unique LDAR components with commercially available and maintainable components having improved capabilities. These components will be phased in to ensure full continuity and access to this important warning technology. These LDAR systems are expected to eventually be available for installation and use by the public at specialized facilities, such as airports, and for general weather warnings via the National Weather Service (NWS) or television broadcast. The NWS in Melbourne has had access to real-time LDAR data since 1993 on an experimental basis. This use of LDAR has shown promise for the improvement of aviation forecasts and severe weather warnings. More so, it has opened the door to investigate the feasibility of issuing lightning-related public advisories. The success of its early use suggests that this technology may improve safety and potentially save lives, therefore constituting a significant benefit to the public. This paper describes the LDR system, the plans and progress of these upgrades, and the potential benefits of its use.

  5. On Track for Success: The Use of Early Warning Indicator and Intervention Systems to Build a Grad Nation

    Science.gov (United States)

    Bruce, Mary; Bridgeland, John M.; Fox, Joanna Hornig; Balfanz, Robert

    2011-01-01

    Over the past decade, schools, districts, and states have become increasingly savvy with data collection and analysis to drive student outcomes. The development and use of Early Warning Indicator and Intervention Systems (EWS) are at the cutting edge of the data- driven, outcomes-focused, high-impact education movement. These systems can increase…

  6. Simulated NASA Satellite Data Products for the NOAA Integrated Coral Reef Observation Network/Coral Reef Early Warning System

    Science.gov (United States)

    Estep, Leland; Spruce, Joseph P.

    2007-01-01

    This RPC (Rapid Prototyping Capability) experiment will demonstrate the use of VIIRS (Visible/Infrared Imager/Radiometer Suite) and LDCM (Landsat Data Continuity Mission) sensor data as significant input to the NOAA (National Oceanic and Atmospheric Administration) ICON/ CREWS (Integrated Coral Reef Observation System/Coral Reef Early Warning System). The project affects the Coastal Management Program Element of the Applied Sciences Program.

  7. Developing a dengue early warning system using time series model: Case study in Tainan, Taiwan

    Science.gov (United States)

    Chen, Xiao-Wei; Jan, Chyan-Deng; Wang, Ji-Shang

    2017-04-01

    Dengue fever (DF) is a climate-sensitive disease that has been emerging in southern regions of Taiwan over the past few decades, causing a significant health burden to affected areas. This study aims to propose a predictive model to implement an early warning system so as to enhance dengue surveillance and control in Tainan, Taiwan. The Seasonal Autoregressive Integrated Moving Average (SARIMA) model was used herein to forecast dengue cases. Temporal correlation between dengue incidences and climate variables were examined by Pearson correlation analysis and Cross-correlation tests in order to identify key determinants to be included as predictors. The dengue surveillance data between 2000 and 2009, as well as their respective climate variables were then used as inputs for the model. We validated the model by forecasting the number of dengue cases expected to occur each week between January 1, 2010 and December 31, 2015. In addition, we analyzed historical dengue trends and found that 25 cases occurring in one week was a trigger point that often led to a dengue outbreak. This threshold point was combined with the season-based framework put forth by the World Health Organization to create a more accurate epidemic threshold for a Tainan-specific warning system. A Seasonal ARIMA model with the general form: (1,0,5)(1,1,1)52 is identified as the most appropriate model based on lowest AIC, and was proven significant in the prediction of observed dengue cases. Based on the correlation coefficient, Lag-11 maximum 1-hr rainfall (r=0.319, Pclimate variables. Comparing the four multivariate models(i.e.1, 4, 9 and 13 weeks ahead), we found that including the climate variables improves the prediction RMSE as high as 3.24%, 10.39%, 17.96%, 21.81% respectively, in contrast to univariate models. Furthermore, the ability of the four multivariate models to determine whether the epidemic threshold would be exceeded in any given week during the forecasting period of 2010-2015 was

  8. Support system development for evacuation plan decision in nuclear plant disaster

    International Nuclear Information System (INIS)

    Fujita, Masahiko; Takayama, Jun-ichi; Nakayama, Sho-ichiro; Ushiba, Takashi

    2011-01-01

    These days, our interest in nuclear plant accidents has increased, and civic actions for them have also been activated. Therefore, improvement of the disaster prevention planning to nuclear plant accidents is requested. In this study, we developed a microscopic traffic simulation system for evacuation plan near the nuclear plant as a system which supports to examine the disaster prevention planning, and applied the system to Kashiwazaki-Kariwa nuclear plant area. Furthermore, the risk of each region near the nuclear plant disaster from the viewpoint of wind direction and the population was considered, the importance of each evacuation simulation was examined. As a result, we found that the present plan Kashiwazaki-Kariwa made has the problem on evacuation routes and others. (author)

  9. Proposal for Holistic Assessment of Urban System Resilience to Natural Disasters

    Science.gov (United States)

    Koren, David; Kilar, Vojko; Rus, Katarina

    2017-10-01

    Urban system is a complex mix of interdependent components and dynamic interactions between them that enable it to function effectively. Resilience of urban system indicates the ability of a system to resist, absorb, accommodate to and recover from the effects of a hazard in a timely and efficient manner. In the relevant literature, most studies consider individual components separately. On the other hand, the purpose of this paper is to assess the urban system as a whole, considering all relevant components and their interactions. The goal is a study of possibilities for holistic evaluation of urban system resilience to natural disasters. Findings from the preliminary study are presented: (i) the definition of urban system and categorization of its components, (ii) a set of attributes of individual components with impact on disaster resilience of the entire system and (iii) review of different methods and approaches for resilience assessment. Based on literature review and extensive preliminary studies a new conceptual framework for urban resilience assessment is proposed. In the presented paper, a conceptual model of urban system by abstraction of its components as nodes (buildings), patches - specific nodes with spatial properties (open space), links (infrastructures) and base layer (community) is created. In the suggested model, each component is defined by its own quantitative attributes, which have been identified to have an important impact on the urban system resilience to natural disasters. System is presented as a mathematical graph model. Natural disaster is considered an external factor that affects the existing system and leads to some system distortion. In further analyses, mathematical simulation of various natural disasters scenarios is going to be carried out, followed by comparison of the system functionality before and after the accident. Various properties of the system (accessibility, transition, complexity etc.) are going to be analysed with

  10. An efficient rapid warning system for earthquakes in the European - Mediterranean region

    International Nuclear Information System (INIS)

    Mazet-Roux, G.; Bossu, R; Tome, M.; Giovambattista, R. Di

    2002-01-01

    Every year a few damaging earthquakes occur in the European-Mediterranean region. It is therefore indispensable to operate a real-time warning system in order to provide rapidly reliable estimates of the location, depth and magnitude of these seismic events. In order to provide this information in a timely manner both to the scientific community and to the European and national authorities dealing with natural hazards and relief organisation, the European-Mediterranean Seismological Centre (EMSC) has federated a network of seismic networks exchanging their data in quasi real-time. Today, thanks to the Internet, the EMSC receives real-time information about earthquakes from about thirty seismological institutes. As soon as data reach the EMSC, they are displayed on the EMSC Web pages (www.emsc-csem.org). A seismic alert is generated for any potentially damaging earthquake in the European-Mediterranean region and disseminated within one hour following its occurrence. Potentially damaging earthquakes are defined as seismic events of magnitude 5 or above in the European-Mediterranean region. The utility of this EMSC service is clearly demonstrated by its following among the public: EMSC e-mail dissemination list has been subscribed by about 300 institutions (ECHO, NGO, civil defence services, seismological institutes) or individuals and the rate of internet connections to EMSC web site dramatically increase following an alert. The aim of this presentation is to give a complete technical description of the EMSC warning system. We will also take this opportunity to thank each of the contributing institutions for their support and efforts to enhance the system performances. (authors)

  11. Rapid assessment of disaster damage using social media activity.

    Science.gov (United States)

    Kryvasheyeu, Yury; Chen, Haohui; Obradovich, Nick; Moro, Esteban; Van Hentenryck, Pascal; Fowler, James; Cebrian, Manuel

    2016-03-01

    Could social media data aid in disaster response and damage assessment? Countries face both an increasing frequency and an increasing intensity of natural disasters resulting from climate change. During such events, citizens turn to social media platforms for disaster-related communication and information. Social media improves situational awareness, facilitates dissemination of emergency information, enables early warning systems, and helps coordinate relief efforts. In addition, the spatiotemporal distribution of disaster-related messages helps with the real-time monitoring and assessment of the disaster itself. We present a multiscale analysis of Twitter activity before, during, and after Hurricane Sandy. We examine the online response of 50 metropolitan areas of the United States and find a strong relationship between proximity to Sandy's path and hurricane-related social media activity. We show that real and perceived threats, together with physical disaster effects, are directly observable through the intensity and composition of Twitter's message stream. We demonstrate that per-capita Twitter activity strongly correlates with the per-capita economic damage inflicted by the hurricane. We verify our findings for a wide range of disasters and suggest that massive online social networks can be used for rapid assessment of damage caused by a large-scale disaster.

  12. An Assessment of Coherence Between Early Warning and Response Systems and Serious Cross-Border Health Threats in the European Union and Turkey.

    Science.gov (United States)

    Ekmekci, Perihan Elif

    2016-12-01

    Disease outbreaks have attracted the attention of the public health community to early warning and response systems (EWRS) for communicable diseases and other cross-border threats to health. The European Union (EU) and the World Health Organization (WHO) have published regulations in this area. Decision 1082/2013/EU brought a new approach the management of public health threats in EU member states. Decision 1082/2013/EU brought several innovations, which included establishing a Health Security Committee; preparedness and response planning; joint procurement of medical countermeasures; ad hoc monitoring for biological, chemical, and environmental threats; EWRS; and recognition of an emergency situation and interoperability between various sectors. Turkey, as an acceding country to the EU and a member of the WHO, has been improving its national public health system to meet EU legislations and WHO standards. This article first explains EWRS as defined in Decision 1082/2013/EU and Turkey's obligations to align its public health laws to the EU acquis. EWRS in Turkey are addressed, particularly their coherence with EU policies regarding preparedness and response, alert notification, and interoperability between health and other sectors. Finally, the challenges and limitations of the current Turkish system are discussed and further improvements are suggested. (Disaster Med Public Health Preparedness. 2016;10:883-892).

  13. Pediatric Early Warning Score Systems, Nurses Perspective - A Focus Group Study

    DEFF Research Database (Denmark)

    Jensen, Claus Sixtus; Nielsen, Pia Bonde; Olesen, Hanne Vebert

    2018-01-01

    PURPOSE: Pediatric early warning score (PEWS) systems are used to monitor pediatric patients' vital signs and facilitate the treatment of patients at risk of deteriorating. The aim of this study was to gain knowledge about nurses' experiences with PEWS and to highlight factors facilitating...... and impeding the use of PEWS tools in clinical practice. DESIGN AND METHODS: An exploratory qualitative design was chosen using focus group interviews to gain a deeper understanding of nurses' experiences with PEWS. A total of five focus group interviews were conducted at three hospitals, and a qualitative......'s - a challenge, v) PEWS helps to visualize the need for escalating care, vi) an inflexible and challenging tool, and vii) supportive tools enhance the nurses' experiences of PEWS positively. CONCLUSIONS: Our findings suggest that attention should be given to nurses' perceptions of how both clinical judgment...

  14. Assessing Potential of VIIRS Data for Contribution to a Forest Threat Early Warning System

    Science.gov (United States)

    Spruce, Joseph P.

    2007-01-01

    This viewgraph presentation reviews the contributions by the Rapid Prototyping Capability (RPC) towards using Visible Infrared Imager / Radiometer Suite (VIIRS) data in assessing the damage to forests. The Healthy Forest Restoration Act of 2003 mandates development of national Early Warning System (EWS) for forest threat monitoring and mitigation. NASA Stennis is working with the US Forest Service to develop needed components of this EWS. The use of MODIS data for monitoring forest disturbance at broad regional scales is a componet of this program. This RPC experiment was initiated to assess potential of the MODIS follow-on, VIIRS, for monitoring forest disturbance at broad scales and thereby contributing to the EWS. This presentation reviews the potential use of the VIIRS to examine the damage to forests caused by gyspy moths in the West Virginia and Virginia area.

  15. Application and analysis of debris-flow early warning system in Wenchuan earthquake-affected area

    Science.gov (United States)

    Liu, D. L.; Zhang, S. J.; Yang, H. J.; Zhao, L. Q.; Jiang, Y. H.; Tang, D.; Leng, X. P.

    2016-02-01

    The activities of debris flow (DF) in the Wenchuan earthquake-affected area significantly increased after the earthquake on 12 May 2008. The safety of the lives and property of local people is threatened by DFs. A physics-based early warning system (EWS) for DF forecasting was developed and applied in this earthquake area. This paper introduces an application of the system in the Wenchuan earthquake-affected area and analyzes the prediction results via a comparison to the DF events triggered by the strong rainfall events reported by the local government. The prediction accuracy and efficiency was first compared with a contribution-factor-based system currently used by the weather bureau of Sichuan province. The storm on 17 August 2012 was used as a case study for this comparison. The comparison shows that the false negative rate and false positive rate of the new system is, respectively, 19 and 21 % lower than the system based on the contribution factors. Consequently, the prediction accuracy is obviously higher than the system based on the contribution factors with a higher operational efficiency. On the invitation of the weather bureau of Sichuan province, the authors upgraded their prediction system of DF by using this new system before the monsoon of Wenchuan earthquake-affected area in 2013. Two prediction cases on 9 July 2013 and 10 July 2014 were chosen to further demonstrate that the new EWS has high stability, efficiency, and prediction accuracy.

  16. Civil Defense, U. S. A.: A Programmed Orientation to Civil Defense. Unit 4. Warning, Emergency Operations, and Support Programs.

    Science.gov (United States)

    Defense Civil Preparedness Agency (DOD), Battle Creek, MI.

    The need for, and a description of, emergency functions required to save lives and protect property in nuclear or natural disasters are presented. Topics discussed include: (1) The Civil Defense Warning System, (2) Introduction to the Emergency Operations Program, (3) Five subprograms of the Emergency Operations Program, (4) Emergency Operations…

  17. Evaluating the Use of Remote Sensing Data in the USAID Famine Early Warning Systems Network

    Science.gov (United States)

    Brown, Molly E.; Brickley, Elizabeth B.

    2011-01-01

    The US Agency for International Development (USAID) s Famine Early Warning System Network (FEWS NET) provides monitoring and early warning support to decision makers responsible for responding to food insecurity emergencies on three continents. FEWS NET uses satellite remote sensing and ground observations of rainfall and vegetation in order to provide information on drought, floods and other extreme weather events to decision makers. Previous research has presented results from a professional review questionnaire with FEWS NET expert end-users whose focus was to elicit Earth observation requirements. The review provided FEWS NET operational requirements and assessed the usefulness of additional remote sensing data. Here we analyzed 1342 food security update reports from FEWS NET. The reports consider the biophysical, socioeconomic, and contextual influences on the food security in 17 countries in Africa from 2000-2009. The objective was to evaluate the use of remote sensing information in comparison with other important factors in the evaluation of food security crises. The results show that all 17 countries use rainfall information, agricultural production statistics, food prices and food access parameters in their analysis of food security problems. The reports display large scale patterns that are strongly related to history of the FEWS NET program in each country. We found that rainfall data was used 84% of the time, remote sensing of vegetation 28% of the time, and gridded crop models 10%, reflecting the length of use of each product in the regions. More investment is needed in training personnel on remote sensing products to improve use of data products throughout the FEWS NET system.

  18. A flash flood early warning system based on rainfall thresholds and daily soil moisture indexes

    Science.gov (United States)

    Brigandì, Giuseppina; Tito Aronica, Giuseppe

    2015-04-01

    Main focus of the paper is to present a flash flood early warning system, developed for Civil Protection Agency for the Sicily Region, for alerting extreme hydrometeorological events by using a methodology based on the combined use of rainfall thresholds and soil moisture indexes. As matter of fact, flash flood warning is a key element to improve the Civil Protection achievements to mitigate damages and safeguard the security of people. It is a rather complicated task, particularly in those catchments with flashy response where even brief anticipations are important and welcomed. In this context, some kind of hydrological precursors can be considered to improve the effectiveness of the emergency actions (i.e. early flood warning). Now, it is well known how soil moisture is an important factor in flood formation, because the runoff generation is strongly influenced by the antecedent soil moisture conditions of the catchment. The basic idea of the work here presented is to use soil moisture indexes derived in a continuous form to define a first alert phase in a flash flood forecasting chain and then define a unique rainfall threshold for a given day for the subsequent alarm phases activation, derived as a function of the soil moisture conditions at the beginning of the day. Daily soil moisture indexes, representative of the moisture condition of the catchment, were derived by using a parsimonious and simply to use approach based on the IHACRES model application in a modified form developed by the authors. It is a simple, spatially-lumped rainfall-streamflow model, based on the SCS-CN method and on the unit hydrograph approach that requires only rainfall, streamflow and air temperature data. It consists of two modules. In the first a non linear loss model, based on the SCS-CN method, was used to transform total rainfall into effective rainfall. In the second, a linear convolution of effective rainfall was performed using a total unit hydrograph with a configuration of

  19. Toward tsunami early warning system in Indonesia by using rapid rupture durations estimation

    International Nuclear Information System (INIS)

    Madlazim

    2012-01-01

    Indonesia has Indonesian Tsunami Early Warning System (Ina-TEWS) since 2008. The Ina-TEWS has used automatic processing on hypocenter; Mwp, Mw (mB) and Mj. If earthquake occurred in Ocean, depth 7, then Ina-TEWS announce early warning that the earthquake can generate tsunami. However, the announcement of the Ina-TEWS is still not accuracy. Purposes of this research are to estimate earthquake rupture duration of large Indonesia earthquakes that occurred in Indian Ocean, Java, Timor sea, Banda sea, Arafura sea and Pasific ocean. We analyzed at least 330 vertical seismogram recorded by IRIS-DMC network using a direct procedure for rapid assessment of earthquake tsunami potential using simple measures on P-wave vertical seismograms on the velocity records, and the likelihood that the high-frequency, apparent rupture duration, T dur . T dur can be related to the critical parameters rupture length (L), depth (z), and shear modulus (μ) while T dur may be related to wide (W), slip (D), z or μ. Our analysis shows that the rupture duration has a stronger influence to generate tsunami than Mw and depth. The rupture duration gives more information on tsunami impact, Mo/μ, depth and size than Mw and other currently used discriminants. We show more information which known from the rupture durations. The longer rupture duration, the shallower source of the earthquake. For rupture duration greater than 50 s, the depth less than 50 km, Mw greater than 7, the longer rupture length, because T dur is proportional L and greater Mo/μ. Because Mo/μ is proportional L. So, with rupture duration information can be known information of the four parameters. We also suggest that tsunami potential is not directly related to the faulting type of source and for events that have rupture duration greater than 50 s, the earthquakes generated tsunami. With available real-time seismogram data, rapid calculation, rupture duration discriminant can be completed within 4–5 min after an earthquake

  20. ERT to aid in WSN based early warning system for landslides

    Science.gov (United States)

    T, H.

    2017-12-01

    Amrita University's landslide monitoring and early warning system using Wireless Sensor Networks (WSN) consists of heterogeneous sensors like rain gauge, moisture sensor, piezometer, geophone, inclinometer, tilt meter etc. The information from the sensors are accurate and limited to that point. In order to monitor a large area, ERT can be used in conjunction with WSN technology. To accomplish the feasibility of ERT in landslide early warning along with WSN technology, we have conducted experiments in Amrita's landslide laboratory setup. The experiment was aimed to simulate landslide, and monitor the changes happening in the soil using moisture sensor and ERT. Simulating moisture values from resistivity measurements to a greater accuracy can help in landslide monitoring for large areas. For accomplishing the same we have adapted two mathematical approaches, 1) Regression analysis between resistivity measurements and actual moisture values from moisture sensor, and 2) Using Waxman Smith model to simulate moisture values from resistivity measurements. The simulated moisture values from Waxman Smith model is compared with the actual moisture values and the Mean Square Error (MSE) is found to be 46.33. Regression curve is drawn for the resistivity vs simulated moisture values from Waxman model, and it is compared with the regression curve of actual model, which is shown in figure-1. From figure-1, it is clear that there the regression curve from actual moisture values and the regression curve from simulated moisture values, follow the similar pattern and there is a small difference between them. Moisture values can be simulated to a greater accuracy using actual regression equation, but the limitation is that, regression curves will differ for different sites and different soils. Regression equation from actual moisture values can be used, if we have conducted experiment in the laboratory for a particular soil sample, otherwise with the knowledge of soil properties

  1. Integrating Urban Infrastructure and Health System Impact Modeling for Disasters and Mass-Casualty Events

    Science.gov (United States)

    Balbus, J. M.; Kirsch, T.; Mitrani-Reiser, J.

    2017-12-01

    Over recent decades, natural disasters and mass-casualty events in United States have repeatedly revealed the serious consequences of health care facility vulnerability and the subsequent ability to deliver care for the affected people. Advances in predictive modeling and vulnerability assessment for health care facility failure, integrated infrastructure, and extreme weather events have now enabled a more rigorous scientific approach to evaluating health care system vulnerability and assessing impacts of natural and human disasters as well as the value of specific interventions. Concurrent advances in computing capacity also allow, for the first time, full integration of these multiple individual models, along with the modeling of population behaviors and mass casualty responses during a disaster. A team of federal and academic investigators led by the National Center for Disaster Medicine and Public Health (NCDMPH) is develoing a platform for integrating extreme event forecasts, health risk/impact assessment and population simulations, critical infrastructure (electrical, water, transportation, communication) impact and response models, health care facility-specific vulnerability and failure assessments, and health system/patient flow responses. The integration of these models is intended to develop much greater understanding of critical tipping points in the vulnerability of health systems during natural and human disasters and build an evidence base for specific interventions. Development of such a modeling platform will greatly facilitate the assessment of potential concurrent or sequential catastrophic events, such as a terrorism act following a severe heat wave or hurricane. This presentation will highlight the development of this modeling platform as well as applications not just for the US health system, but also for international science-based disaster risk reduction efforts, such as the Sendai Framework and the WHO SMART hospital project.

  2. Effects of stressor characteristics on early warning signs of critical transitions and "critical coupling" in complex dynamical systems.

    Science.gov (United States)

    Blume, Steffen O P; Sansavini, Giovanni

    2017-12-01

    Complex dynamical systems face abrupt transitions into unstable and catastrophic regimes. These critical transitions are triggered by gradual modifications in stressors, which push the dynamical system towards unstable regimes. Bifurcation analysis can characterize such critical thresholds, beyond which systems become unstable. Moreover, the stochasticity of the external stressors causes small-scale fluctuations in the system response. In some systems, the decomposition of these signal fluctuations into precursor signals can reveal early warning signs prior to the critical transition. Here, we present a dynamical analysis of a power system subjected to an increasing load level and small-scale stochastic load perturbations. We show that the auto- and cross-correlations of bus voltage magnitudes increase, leading up to a Hopf bifurcation point, and further grow until the system collapses. This evidences a gradual transition into a state of "critical coupling," which is complementary to the established concept of "critical slowing down." Furthermore, we analyze the effects of the type of load perturbation and load characteristics on early warning signs and find that gradient changes in the autocorrelation provide early warning signs of the imminent critical transition under white-noise but not for auto-correlated load perturbations. Furthermore, the cross-correlation between all voltage magnitude pairs generally increases prior to and beyond the Hopf bifurcation point, indicating "critical coupling," but cannot provide early warning indications. Finally, we show that the established early warning indicators are oblivious to limit-induced bifurcations and, in the case of the power system model considered here, only react to an approaching Hopf bifurcation.

  3. The Common Alerting Protocol (CAP) and Emergency Data Exchange Language (EDXL) - Application in Early Warning Systems for Natural Hazard

    Science.gov (United States)

    Lendholt, Matthias; Hammitzsch, Martin; Wächter, Joachim

    2010-05-01

    The Common Alerting Protocol (CAP) [1] is an XML-based data format for exchanging public warnings and emergencies between alerting technologies. In conjunction with the Emergency Data Exchange Language (EDXL) Distribution Element (-DE) [2] these data formats can be used for warning message dissemination in early warning systems for natural hazards. Application took place in the DEWS (Distance Early Warning System) [3] project where CAP serves as central message format containing both human readable warnings and structured data for automatic processing by message receivers. In particular the spatial reference capabilities are of paramount importance both in CAP and EDXL. Affected areas are addressable via geo codes like HASC (Hierarchical Administrative Subdivision Codes) [4] or UN/LOCODE [5] but also with arbitrary polygons that can be directly generated out of GML [6]. For each affected area standardized criticality values (urgency, severity and certainty) have to be set but also application specific key-value-pairs like estimated time of arrival or maximum inundation height can be specified. This enables - together with multilingualism, message aggregation and message conversion for different dissemination channels - the generation of user-specific tailored warning messages. [1] CAP, http://www.oasis-emergency.org/cap [2] EDXL-DE, http://docs.oasis-open.org/emergency/edxl-de/v1.0/EDXL-DE_Spec_v1.0.pdf [3] DEWS, http://www.dews-online.org [4] HASC, "Administrative Subdivisions of Countries: A Comprehensive World Reference, 1900 Through 1998" ISBN 0-7864-0729-8 [5] UN/LOCODE, http://www.unece.org/cefact/codesfortrade/codes_index.htm [6] GML, http://www.opengeospatial.org/standards/gml

  4. Application of Advanced Wide Area Early Warning Systems with Adaptive Protection

    Energy Technology Data Exchange (ETDEWEB)

    Blumstein, Carl [Univ. of California, Berkeley, CA (United States); Cibulka, Lloyd [Univ. of California, Berkeley, CA (United States); Thorp, James [Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States); Centeno, Virgilio [Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States); King, Roger [Mississippi State Univ., Mississippi State, MS (United States); Reeves, Kari [Mississippi State Univ., Mississippi State, MS (United States); Ashrafi, Frank [Southern California Edison Co., Rosemead, CA (United States); Madani, Vahid [Pacific Gas & Electric Co., San Francisco, CA (United States)

    2014-09-30

    Recent blackouts of power systems in North America and throughout the world have shown how critical a reliable power system is to modern societies, and the enormous economic and societal damage a blackout can cause. It has been noted that unanticipated operation of protection systems can contribute to cascading phenomena and, ultimately, blackouts. This project developed and field-tested two methods of Adaptive Protection systems utilizing synchrophasor data. One method detects conditions of system stress that can lead to unintended relay operation, and initiates a supervisory signal to modify relay response in real time to avoid false trips. The second method detects the possibility of false trips of impedance relays as stable system swings “encroach” on the relays’ impedance zones, and produces an early warning so that relay engineers can re-evaluate relay settings. In addition, real-time synchrophasor data produced by this project was used to develop advanced visualization techniques for display of synchrophasor data to utility operators and engineers.

  5. Design Principles for resilient cyber-physical Early Warning Systems - Challenges, Experiences, Design Patterns, and Best Practices

    Science.gov (United States)

    Gensch, S.; Wächter, J.; Schnor, B.

    2014-12-01

    Early warning systems (EWS) are safety-critical IT-infrastructures that serve the purpose of potentially saving lives or assets by observing real-world phenomena and issuing timely warning products to authorities and communities. An EWS consists of sensors, communication networks, data centers, simulation platforms, and dissemination channels. The components of this cyber-physical system may all be affected by both natural hazards and malfunctions of components alike. Resilience engineering so far has mostly been applied to safety-critical systems and processes in transportation (aviation, automobile), construction and medicine. Early warning systems need equivalent techniques to compensate for failures, and furthermore means to adapt to changing threats, emerging technology and research findings. We present threats and pitfalls from our experiences with the German and Indonesian tsunami early warning system, as well as architectural, technological and organizational concepts employed that can enhance an EWS' resilience. The current EWS is comprised of a multi-type sensor data upstream part, different processing and analysis engines, a decision support system, and various warning dissemination channels. Each subsystem requires a set of approaches towards ensuring stable functionality across system layer boundaries, including also institutional borders. Not only must services be available, but also produce correct results. Most sensors are distributed components with restricted resources, communication channels and power supply. An example for successful resilience engineering is the power capacity based functional management for buoy and tide gauge stations. We discuss various fault-models like cause and effect models on linear pathways, interaction of multiple events, complex and non-linear interaction of assumedly reliable subsystems and fault tolerance means implemented to tackle these threats.

  6. The Research of the Crisis Pre-Warning Management System under the Particularity of Nationalities Universities and Colleges

    Science.gov (United States)

    Wang, Hui

    2009-01-01

    The nationalities universities and colleges set up the crisis pre-warning management system, not only related to the management of our nationalities universities and colleges and their growth, but also related to the country's national unity plan in some way. However, because of minority students in the particularity of the national cultural…

  7. Comparing Methodologies for Developing an Early Warning System: Classification and Regression Tree Model versus Logistic Regression. REL 2015-077

    Science.gov (United States)

    Koon, Sharon; Petscher, Yaacov

    2015-01-01

    The purpose of this report was to explicate the use of logistic regression and classification and regression tree (CART) analysis in the development of early warning systems. It was motivated by state education leaders' interest in maintaining high classification accuracy while simultaneously improving practitioner understanding of the rules by…

  8. Supporting Early Warning Systems: Using Data to Keep Students on Track to Success. Data for Action 2012

    Science.gov (United States)

    Data Quality Campaign, 2012

    2012-01-01

    Supporting early warning systems is important because keeping students on track is vital to graduating all students college and career ready. Failing to keep students on track toward completing high school has perilous consequences for students, communities, and the economy. Predictive analyses are important to ensuring students are on track.…

  9. An Early-Warning System for Volcanic Ash Dispersal: The MAFALDA Procedure

    Science.gov (United States)

    Barsotti, S.; Nannipieri, L.; Neri, A.

    2006-12-01

    Forecasts of the dispersal of volcanic ash is a fundamental goal in order to mitigate its potential impact on urbanized areas and transport routes surrounding explosive volcanoes. To this aim we developed an early- warning procedure named MAFALDA (Modeling And Forecasting Ash Loading and Dispersal in the Atmosphere). Such tool is able to quantitatively forecast the atmospheric concentration of ash as well as the ground deposition as a function of time over a 3D spatial domain.\\The main features of MAFALDA are: (1) the use of the hybrid Lagrangian-Eulerian code VOL-CALPUFF able to describe both the rising column phase and the atmospheric dispersal as a function of weather conditions, (2) the use of high-resolution weather forecasting data, (3) the short execution time that allows to analyse a set of scenarios and (4) the web-based CGI software application (written in Perl programming language) that shows the results in a standard graphical web interface and makes it suitable as an early-warning system during volcanic crises.\\MAFALDA is composed by a computational part that simulates the ash cloud dynamics and a graphical interface for visualizing the modelling results. The computational part includes the codes for elaborating the meteorological data, the dispersal code and the post-processing programs. These produces hourly 2D maps of aerial ash concentration at several vertical levels, extension of "threat" area on air and 2D maps of ash deposit on the ground, in addition to graphs of hourly variations of column height.\\The processed results are available on the web by the graphical interface and the users can choose, by drop-down menu, which data to visualize. \\A first partial application of the procedure has been carried out for Mt. Etna (Italy). In this case, the procedure simulates four volcanological scenarios characterized by different plume intensities and uses 48-hrs weather forecasting data with a resolution of 7 km provided by the Italian Air Force.

  10. TOWARD INDONESIAN TSUNAMI EARLY WARNING SYSTEM BY USING RAPID RUPTURE DURATIONS CALCULATION

    Directory of Open Access Journals (Sweden)

    M. Adlazim

    2011-01-01

    Full Text Available Indonesia has an Indonesian Tsunami Early Warning System (Ina-TEWS since 2008. The Ina-TEWS has used automatic processing on hypocenter; Mwp, Mw (mB and Mj. If earthquake occurred in Ocean, depth 7, then Ina-TEWS announce early warning that the earthquake can generate tsunami. However, the announcement of the Ina-TEWS is still not accuracy. Purpose of this study is to estimate earthquake rupture duration of large Indonesia earthquakes that occurred in Indian Ocean, Java, Timor Sea, Banda Sea, Arafura Sea and Pacific Ocean using a direct procedure and software developed Lomax and Michelini for rapid assessment of earthquake tsunami potential by deriving two simple measures from vertical component broadband P-wave velocity record. The first is the high-frequency apparent rupture duration, Tdur which may be related to can be related to the critical parameters rupture length (L, depth (z, and shear modulus (μ. The second is a confirmation of the earlier finding by Lomax and Michelini, namely that the rupture duration has a stronger influence to generate tsunami than Mw and Depth. We analyzed at least 510 vertical seismogram recorded by GEOFON-IA and IRIS-DMC networks. Our analysis shows that the seismic potency, LWD, which is more obviously related to capability to generate a tsunami than former. The larger Tdur the larger is the seismic potency LWD because Tdur is proportional to L/vr (with vr – rupture velocity. We also suggest that tsunami potential is not directly related to the faulting type of source and for events that have rupture duration greater than 50 s, the earthquakes generated tsunami. With available real-time seismogram data, rapid calculation, rupture duration discriminant can be completed within 3 to 8 min after the P-onset.

  11. Use of wireless sensor networks for distributed event detection in disaster management applications

    NARCIS (Netherlands)

    Bahrepour, M.; Meratnia, Nirvana; Poel, Mannes; Taghikhaki, Zahra; Havinga, Paul J.M.

    Recently, wireless sensor networks (WSNs) have become mature enough to go beyond being simple fine-grained continuous monitoring platforms and have become one of the enabling technologies for early-warning disaster systems. Event detection functionality of WSNs can be of great help and importance

  12. Landslide and Flood Warning System Prototypes based on Wireless Sensor Networks

    Science.gov (United States)

    Hloupis, George; Stavrakas, Ilias; Triantis, Dimos

    2010-05-01

    Wireless sensor networks (WSNs) are one of the emerging areas that received great attention during the last few years. This is mainly due to the fact that WSNs have provided scientists with the capability of developing real-time monitoring systems equipped with sensors based on Micro-Electro-Mechanical Systems (MEMS). WSNs have great potential for many applications in environmental monitoring since the sensor nodes that comprised from can host several MEMS sensors (such as temperature, humidity, inertial, pressure, strain-gauge) and transducers (such as position, velocity, acceleration, vibration). The resulting devices are small and inexpensive but with limited memory and computing resources. Each sensor node contains a sensing module which along with an RF transceiver. The communication is broadcast-based since the network topology can change rapidly due to node failures [1]. Sensor nodes can transmit their measurements to central servers through gateway nodes without any processing or they make preliminary calculations locally in order to produce results that will be sent to central servers [2]. Based on the above characteristics, two prototypes using WSNs are presented in this paper: A Landslide detection system and a Flood warning system. Both systems sent their data to central processing server where the core of processing routines exists. Transmission is made using Zigbee and IEEE 802.11b protocol but is capable to use VSAT communication also. Landslide detection system uses structured network topology. Each measuring node comprises of a columnar module that is half buried to the area under investigation. Each sensing module contains a geophone, an inclinometer and a set of strain gauges. Data transmitted to central processing server where possible landslide evolution is monitored. Flood detection system uses unstructured network topology since the failure rate of sensor nodes is expected higher. Each sensing module contains a custom water level sensor

  13. The Application Modular Floating Pontoon to Support Floods Disaster Evacuation System in Heavy Populated Residential Area

    Directory of Open Access Journals (Sweden)

    Ahmad Fauzan Zakki

    2014-10-01

    Full Text Available During floods disaster in the heavy populated residential area, the lack of existing life saving appliances system such as rubber boat and wooden boat were not able to evacuate the disaster victims spontaneously in mass. The condition might be explained since the rubber boat and wooden boat have limited occupant capacity. Based on the conditions, the main objectives of the research are focused on the evaluation of the application of modular floating pontoon as multipurpose floating equipment to support floods disaster evacuation process. The investigation of the modular floating pontoon performance such as hydrostatics characteristics, the equilibrium condition and the intact stability was studied using strip theory and Krylov’s method. Furthermore, the strength analysis of the modular floating pontoon structure was calculated using finite element method. The results show that the modular floating pontoon is reliable to support the evacuation process.

  14. Earthquake early Warning ShakeAlert system: West coast wide production prototype

    Science.gov (United States)

    Kohler, Monica D.; Cochran, Elizabeth S.; Given, Douglas; Guiwits, Stephen; Neuhauser, Doug; Hensen, Ivan; Hartog, Renate; Bodin, Paul; Kress, Victor; Thompson, Stephen; Felizardo, Claude; Brody, Jeff; Bhadha, Rayo; Schwarz, Stan

    2017-01-01

    Earthquake early warning (EEW) is an application of seismological science that can give people, as well as mechanical and electrical systems, up to tens of seconds to take protective actions before peak earthquake shaking arrives at a location. Since 2006, the U.S. Geological Survey has been working in collaboration with several partners to develop EEW for the United States. The goal is to create and operate an EEW system, called ShakeAlert, for the highest risk areas of the United States, starting with the West Coast states of California, Oregon, and Washington. In early 2016, the Production Prototype v.1.0 was established for California; then, in early 2017, v.1.2 was established for the West Coast, with earthquake notifications being distributed to a group of beta users in California, Oregon, and Washington. The new ShakeAlert Production Prototype was an outgrowth from an earlier demonstration EEW system that began sending test notifications to selected users in California in January 2012. ShakeAlert leverages the considerable physical, technical, and organizational earthquake monitoring infrastructure of the Advanced National Seismic System, a nationwide federation of cooperating seismic networks. When fully implemented, the ShakeAlert system may reduce damage and injury caused by large earthquakes, improve the nation’s resilience, and speed recovery.

  15. Finnish early warning system for nuclear emergencies: Experiences during 2000-2001

    Energy Technology Data Exchange (ETDEWEB)

    Vesterbacka, K.; Lahtinen, J.; Ilander, T. [Radiation and Nuclear Safety Authority, Research and Environmental Surveillance, Helsinki (Finland)

    2003-06-01

    The Finnish early warning system for nuclear emergencies consists of the nation-wide automatic external dose-rate monitoring network and the control system, which is known as USVA. The monitoring network comprises of approx. 300 AAM95 central stations and substations equipped with RD-02 or RD-02L GM tubes. Stations are thoroughly inspected on a routine basis every 4-5 years. During the inspection the GM tube, battery and power adapters of the station are replaced with new ones, as is also the modem if necessary, and the alarm connections to USVA are tested. The USVA system utilizes advanced www technology (including a browser-based, easy-to-use user interface) and a network of PCs with dedicated tasks. USVA's central hardware is located at STUK. USVA began its operation in the beginning of the year 2000, replacing the older y2k incompatible system. In a routine situation, USVA collects the monitoring data once a day. The USVA is capable of connecting (via telephone lines) to eight AAM stations concurrently, and the results from the whole country are obtained in about 15 minutes. When the system receives an alarm message from the network, it sends a text message to the mobile phones defined in a separate list and starts an automatic data collection procedure at all the stations situated within a certain distance (100 km) from the alarm-causing station. (orig.)

  16. Strategy of seismic disaster prevention plan of gas supply system in Great Tehran, Iran

    Energy Technology Data Exchange (ETDEWEB)

    Mohammadi, A.M.; Yousefi Pour, M.R. [Greater Tehran Gas Company, Tehran (Iran, Islamic Republic of); Yanou, Y.; Ogawa, Y.; Yamada, H. [Osaka Gas Co. Ltd., Osaka (Japan)

    2004-07-01

    Iran has suffered many devastating earthquakes. Tehran is surrounded by active faults including the North Tehran Fault and the South Ray Fault, making the city extremely vulnerable to large earthquakes. This paper proposes and outlines the basic anti-earthquake measures that would protect Greater Tehran Gas Company's (GTGC) gas supply systems from large earthquakes. Anti-earthquake measures focusing on reinforcing existing facilities and disaster prevention are detailed in this paper. The paper shows step-by-step procedures for the construction of a disaster-prevention system. The paper concludes that: GTGC's gas pipeline networks have high quake-resistance because they include welded steel pipes or polyethylene pipes; a gas remote shutoff system or gas automatic shut-off system should be installed as emergency measures in GTGC's earthquake disaster prevention measures; practical and actual training is also very important for all authorities, experts, engineers and staff involved in earthquake disaster prevention measures. 2 refs., 3 figs.

  17. Designing, developing, and deploying systems to support human-robot teams in disaster response

    NARCIS (Netherlands)

    Kruijff, G.J.M.; Kruijff-Korbayová, I.; Keshavdas, S.; Larochelle, B.; Janíček, M.; Colas, F.; Liu, M.; Pomerleau, F.; Siegwart, R.; Neerincx, M.A.; Looije, R.; Smets, N.J.J.M.; Mioch, T.; Diggelen, J. van; Pirri, F.; Gianni, M.; Ferri, F.; Menna, M.; Worst, R.; Linder, T.; Tretyakov, V.; Surmann, H.; Svoboda, T.; Reinštein, M.; Zimmermann, K.; Petříček, T.; Hlaváč, V.

    2014-01-01

    This paper describes our experience in designing, developing and deploying systems for supporting human-robot teams during disaster response. It is based on R&D performed in the EU-funded project NIFTi. NIFTi aimed at building intelligent, collaborative robots that could work together with humans in

  18. Research on fatigue driving pre-warning system based on multi-information fusion

    Science.gov (United States)

    Zhao, Xuyang; Ye, Wenwu

    2018-05-01

    With the development of science and technology, transportation network has grown faster. But at the same time, the quantity of traffic accidents due to fatigue driving grows faster as well. In the meantime, fatigue driving has been one of the main causes of traffic accidents. Therefore, it is indispensable for us to study the detection of fatigue driving to help to driving safety. There are numerous approaches in discrimination method. Each type of method has its reasonable theoretical basis, but the disadvantages of traditional fatigue driving detection methods have been more and more obvious since we study the traditional physiology and psychological features of fatigue drivers. So we set up a new system based on multi-information fusion and pattern recognition theory. In the paper, the fatigue driving pre-warning system discriminates fatigue by analyzing the characteristic parameters, the parameters derived from the steering wheel angle, the driver's power of gripping and the heart rate. And the data analysis system is established based on fuzzy C-means clustering theory. Finally, KNN classifier is used to establish the relation between feature indexes and fatigue degree. It is verified that the system has the better accuracy, agility and robustness according to our confirmatory experiment.

  19. A Real-Time Measurement System for Long-Life Flood Monitoring and Warning Applications

    Directory of Open Access Journals (Sweden)

    Antonio Skarmeta Gómez

    2012-03-01

    Full Text Available A flood warning system incorporates telemetered rainfall and flow/water level data measured at various locations in the catchment area. Real-time accurate data collection is required for this use, and sensor networks improve the system capabilities. However, existing sensor nodes struggle to satisfy the hydrological requirements in terms of autonomy, sensor hardware compatibility, reliability and long-range communication. We describe the design and development of a real-time measurement system for flood monitoring, and its deployment in a flash-flood prone 650 km2 semiarid watershed in Southern Spain. A developed low-power and long-range communication device, so-called DatalogV1, provides automatic data gathering and reliable transmission. DatalogV1 incorporates self-monitoring for adapting measurement schedules for consumption management and to capture events of interest. Two tests are used to assess the success of the development. The results show an autonomous and robust monitoring system for long-term collection of water level data inmany sparse locations during flood events.

  20. Computer Vision Based Smart Lane Departure Warning System for Vehicle Dynamics Control

    Directory of Open Access Journals (Sweden)

    Ambarish G. Mohapatra

    2011-09-01

    Full Text Available Collision Avoidance System solves many problems caused by traffic congestion worldwide and a synergy of new information technologies for simulation, real-time control and communications networks. The above system is characterized as an intelligent vehicle system. Traffic congestion has been increasing world-wide as a result of increased motorization, urbanization, population growth and changes in population density. Congestion reduces utilization of the transportation infrastructure and increases travel time, air pollution, fuel consumption and most importantly traffic accidents. The main objective of this work is to develop a machine vision system for lane departure detection and warning to measure the lane related parameters such as heading angle, lateral deviation, yaw rate and sideslip angle from the road scene image using standard image processing technique that can be used for automation of steering a motor vehicle. The exact position of the steering wheel can be monitored using a steering wheel sensor. This core part of this work is based on Hough transformation based edge detection technique for the detection of lane departure parameters. The prototype designed for this work has been tested in a running vehicle for the monitoring of real-time lane related parameters.

  1. Development of a national Flash flood warning system in France using the AIGA method: first results and main issues

    Science.gov (United States)

    Javelle, Pierre; Organde, Didier; Demargne, Julie; de Saint-Aubin, Céline; Garandeau, Léa; Janet, Bruno; Saint-Martin, Clotilde; Fouchier, Catherine

    2016-04-01

    Developing a national flash flood (FF) warning system is an ambitious and difficult task. On one hand it rises huge expectations from exposed populations and authorities since induced damages are considerable (ie 20 casualties in the recent October 2015 flood at the French Riviera). But on the other hand, many practical and scientific issues have to be addressed and limitations should be clearly stated. The FF warning system to be implemented by 2016 in France by the SCHAPI (French national service in charge of flood forecasting) will be based on a discharge-threshold flood warning method called AIGA (Javelle et al. 2014). The AIGA method has been experimented in real time in the south of France in the RHYTMME project (http://rhytmme.irstea.fr). It consists in comparing discharges generated by a simple conceptual hourly hydrologic model run at a 1-km² resolution to reference flood quantiles of different return periods, at any point along the river network. The hydrologic model ingests operational rainfall radar-gauge products from Météo-France. Model calibration was based on ~700 hydrometric stations over the 2002-2015 period and then hourly discharges were computed at ~76 000 catchment outlets, with areas ranging from 10 to 3 500 km², over the last 19 years. This product makes it possible to calculate reference flood quantiles at each outlet. The on-going evaluation of the FF warnings is currently made at two levels: in a 'classical' way, using discharges available at the hydrometric stations, but also in a more 'exploratory' way, by comparing past flood reports and warnings issued by the system over the 76 000 catchment outlets. The interest of the last method is that it better fit the system objectives since it is designed to monitor small ungauged catchments. Javelle, P., Demargne, J., Defrance, D, .Pansu, J, .Arnaud, P. (2014). Evaluating flash-flood warnings at ungauged locations using post-event surveys: a case study with the AIGA warning system

  2. Developing Drought Outlook Forums in Support of a Regional Drought Early Warning Information System

    Science.gov (United States)

    Mcnutt, C. A.; Pulwarty, R. S.; Darby, L. S.; Verdin, J. P.; Webb, R. S.

    2011-12-01

    The National Integrated Drought Information System (NIDIS) Act of 2006 (P.L. 109-430) charged NIDIS with developing the leadership and partnerships necessary to implement an integrated national drought monitoring and forecasting system that creates a drought "early warning system". The drought early warning information system should be capable of providing accurate, timely and integrated information on drought conditions at the relevant spatial scale to facilitate proactive decisions aimed at minimizing the economic, social and ecosystem losses associated with drought. As part of this effort, NIDIS has held Regional Drought Outlook Forums in several regions of the U.S. The purpose of the Forums is to inform practices that reduce vulnerability to drought through an interactive and collaborative process that includes the users of the information. The Forums have focused on providing detailed assessments of present conditions and impacts, comparisons with past drought events, and seasonal predictions including discussion of the state and expected evolution of the El Niño Southern Oscillation phenomena. Regional Climate Outlook Forums (RCOFs) that include close interaction between information providers and users are not a new concept, however. RCOFs started in Africa in the 1990s in response to the 1997-98 El Niño and have since expanded to South America, Asia, the Pacific islands, and the Caribbean. As a result of feedback from the RCOFs a large body of research has gone into improving seasonal forecasts and the capacity of the users to apply the information in a way that improves their decision-making. Over time, it has become clear that more is involved than just improving the interaction between the climate forecasters and decision-makers. NIDIS is using the RCOF approach as one component in a larger effort to develop Regional Drought Early Warning Information Systems (RDEWS) around the U.S. Using what has been learned over the past decade in the RCOF process

  3. A web-based Tamsui River flood early-warning system with correction of real-time water stage using monitoring data

    Science.gov (United States)

    Liao, H. Y.; Lin, Y. J.; Chang, H. K.; Shang, R. K.; Kuo, H. C.; Lai, J. S.; Tan, Y. C.

    2017-12-01

    Taiwan encounters heavy rainfalls frequently. There are three to four typhoons striking Taiwan every year. To provide lead time for reducing flood damage, this study attempt to build a flood early-warning system (FEWS) in Tanshui River using time series correction techniques. The predicted rainfall is used as the input for the rainfall-runoff model. Then, the discharges calculated by the rainfall-runoff model is converted to the 1-D river routing model. The 1-D river routing model will output the simulating water stages in 487 cross sections for the future 48-hr. The downstream water stage at the estuary in 1-D river routing model is provided by storm surge simulation. Next, the water stages of 487 cross sections are corrected by time series model such as autoregressive (AR) model using real-time water stage measurements to improve the predicted accuracy. The results of simulated water stages are displayed on a web-based platform. In addition, the models can be performed remotely by any users with web browsers through a user interface. The on-line video surveillance images, real-time monitoring water stages, and rainfalls can also be shown on this platform. If the simulated water stage exceeds the embankments of Tanshui River, the alerting lights of FEWS will be flashing on the screen. This platform runs periodically and automatically to generate the simulation graphic data of flood water stages for flood disaster prevention and decision making.

  4. Potentiality of Disaster Management Education through Open and Distance Learning System in Bangladesh Open University

    Directory of Open Access Journals (Sweden)

    Saima AHMAD

    2015-01-01

    Full Text Available Bangladesh Open University (BOU is the only public educational institution in Bangladesh, where, a dual-mode method of learning system has been introduced. Established in 21st October, 1992, the University now accommodates 1,74,459 learners in 2012. The wide range networking of this university provides it a great prospect to execute a broad spectrum of activities to accomplish its social responsibilities. Despite the aims of BOU at continuous quantitative improvement and greater equity in the society, like most of the ODL method universities in the world, BOU framed a limited objective to create awareness and preparedness about the contemporary global disaster proneness among its learners. Bangladesh for its geographical location, experiences several natural disasters like annual flood, heavy rainfall, cyclone and tidal surge, earth quake, river bank erosion, drought, etc. Lack of awareness of the sustainable use of the natural resources, and the consequences of the heedless consumption of them by the inhabitants enhanced the degree and frequency of these natural disasters during the last decades. The present study emphasizes on the role of Bangladesh Open University in creating awareness among its learners about the causes and pattern of disasters, pre and post disaster management strategies, etc. The study proves that BOU is a unique educational institution which, through the ODL method of teaching, using various educational medium like, tutorial support, printed study materials, electronic media, internet, and cellular phone, etc. can provided a wide range of knowledge about the disaster vulnerability, risk reduction and management strategies to its learners.

  5. "Women and children first". Introducing a gender strategy into disaster preparedness.

    Science.gov (United States)

    Meyers, M

    1994-02-01

    Women have been included in development strategies, but women's issues and women's involvement have been missing from centrally planned government programs of disaster relief. The axiom of putting women and children first has been lost in the maelstrom of immediate need planning without consideration of consequences. The UN developed a training manual and seminars for disaster management. Included in one of the UN manuals are directives that emphasized priorities for nine main components of disaster relief: 1) vulnerability assessment, 2) planning, 3) institutional framework, 4) information systems, 5) resource base, 6) warning systems, 7) response mechanisms, 8) public education and training, and 9) rehearsals. Gender issues should be addressed for each of these components. The question of whether gender was included in a disaster assessment must be answered. Male planners may not be sufficiently informed of how women are affected; therefore, women need to be consulted at the planning stage. A national ministry of women should be involved in disaster relief planning. Women's needs and coping strategies must be accounted for in data-gathering instruments. Emergency supplies must include gynecological and obstetric supplies. The media must be able to reach women and children with disaster warnings. Relief plans must consider whether women will be unduly burdened by the strategy. The inclusion of women in disaster relief efforts not only helps women in crises but helps to break down gender inequalities and imbalances in general.

  6. Risk assessment and early warning systems for industrial facilities in seismic zones

    International Nuclear Information System (INIS)

    Salzano, Ernesto; Garcia Agreda, Anita; Di Carluccio, Antonio; Fabbrocino, Giovanni

    2009-01-01

    Industrial equipments and systems can suffer structural damage when hit by earthquakes, so that accidental scenarios as fire, explosion and dispersion of toxic substances can take place. As a result, overall damage to people, environment and properties increases. The present paper deals with seismic risk analysis of industrial facilities where atmospheric storage tanks (anchored or unanchored to ground), horizontal pressurised tanks, reactors and pumps are installed. Simplified procedures and methodologies based on historical database and literature data on natural-technological (Na-Tech) accidents for seismic risk assessment are discussed. Equipment-specific fragility curves have been thus derived depending on a single earthquake measure, peak ground acceleration (PGA). Fragility parameters have been then transformed to linear probit coefficients in order to obtain reliable threshold values for earthquake intensity measure, both for structural damage and loss of containment. These threshold values are of great interest when development of active and passive mitigation actions and systems, safety management, and the implementation of early warning system are concerned. The approach is general and can be implemented in any available code or procedure for risk assessment. Some results of seismic analysis of atmospheric storage tanks are also presented for validation.

  7. Development of an expert system for tsunami warning: a unit source approach

    International Nuclear Information System (INIS)

    Roshan, A.D.; Pisharady, Ajai S.; Bishnoi, L.R.; Shah, Meet

    2015-01-01

    Coastal region of India has been experiencing tsunamis since historical times. Many nuclear facilities including nuclear power plants (NPPs), located along the coast are thus exposed to the hazards of tsunami. For the safety of these facilities as well as the safety of the citizens it is necessary to predict the possibility of occurrence of tsunamis for a recorded earthquake event and evaluate the tsunami hazard posed by the earthquake. To address these concerns, this work aims to design an expert system for Tsunami Warning for the Indian Coast with emphasis on evaluation of tsunami heights and arrival times at various nuclear facility sites. The expert system identifies possibility or otherwise of a tsunamigenic event based on earthquake data inputs. Rupture parameters are worked out for the event and unit tsunami source estimations which are available as precomputed database are combined appropriately to estimate the wave heights and time of arrivals at desired locations along the coast. The system also predicts tsunami wave heights at some pre-defined locations such as Nuclear Power Plant (NPP) and other nuclear facility sites. Time of arrivals of first wave along Indian coast is also evaluated

  8. An 'Early Warning System' for the prevention of dredging potential impacts on sensitive areas

    Science.gov (United States)

    Piermattei, Viviana; Martellucci, Riccardo; Pierattini, Alberto; Bonamano, Simone; Paladini de Mendoza, Francesco; Albani, Marta; Stefanì, Chiara; Madonia, Alice; Fersini, Giorgio; Marcelli, Marco

    2016-04-01

    Coastal marine ecosystems are increasingly subject to multiple pressures and stressors produced by the effects of human activities. Intense and frequent disturbances which affect marine environment can derive from dredging activity, which is a fundamental management for most ports and harbours. The potential environmental effects of dredging procedures are generally due to the excavation of material from the sea bottom and the relocation elsewhere for disposal, overflow from the dredger and loss of material from pipelines during transport. Depending on the location and the intensity of these activities the marine environment, particularly sensitive areas, may be affected by dredging. The main environmental effects can be associated with suspended sediments and increases in turbidity into the water column, which can have adverse effects on marine animals and plants by reducing light penetration and by physical disturbance. For this reason it is fundamental to implement a real time monitoring system to control and prevent negative effects, enabling a rapid response to adverse water quality conditions and a fast activation of mitigation procedures, in agreement with all the reference authorities. In this work we present the development of an innovative 'Early Warning System' based on fixed stations, ad hoc in situ surveys and forecasting models, which was applied to a dredging activity carried out in the Gulf of Gaeta (Latium, Italy). It represents an extension of the C-CEMS (Civitavecchia Coastal Environmental Monitoring System) network, which is operative in the Tyrrhenian sea since 2005.

  9. Prototype early warning system for heart disease detection using Android Application.

    Science.gov (United States)

    Zennifa, Fadilla; Fitrilina; Kamil, Husnil; Iramina, Keiji

    2014-01-01

    Heart Disease affects approximately 70 million people worldwide where most people do not even know the symptoms. This research examines the prototype of early warning system for heart disease by android application. It aims to facilitate users to early detect heart disease which can be used independently. To build the application in android phone, variable centered intelligence rule system (VCIRS) as decision makers and pulse sensor - Arduino as heart rate detector were applied in this study. Moreover, in Arduino, the heart rate will become an input for symptoms in Android Application. The output of this system is the conclusion statement of users diagnosed with either coronary heart disease, hypertension heart disease, rheumatic heart disease or do not get any kind of heart disease. The result of diagnosis followed by analysis of the value of usage variable rate (VUR) rule usage rate (RUR) and node usage rate (NUR) that shows the value of the rule that will increase when the symptoms frequently appear. This application was compared with the medical analysis from 35 cases of heart disease and it showed concordance between diagnosis from android application and expert diagnosis of the doctors.

  10. Technical Note: An operational landslide early warning system at regional scale based on space-time-variable rainfall thresholds

    Science.gov (United States)

    Segoni, S.; Battistini, A.; Rossi, G.; Rosi, A.; Lagomarsino, D.; Catani, F.; Moretti, S.; Casagli, N.

    2015-04-01

    We set up an early warning system for rainfall-induced landslides in Tuscany (23 000 km2). The system is based on a set of state-of-the-art intensity-duration rainfall thresholds (Segoni et al., 2014b) and makes use of LAMI (Limited Area Model Italy) rainfall forecasts and real-time rainfall data provided by an automated network of more than 300 rain gauges. The system was implemented in a WebGIS to ease the operational use in civil protection procedures: it is simple and intuitive to consult, and it provides different outputs. When switching among different views, the system is able to focus both on monitoring of real-time data and on forecasting at different lead times up to 48 h. Moreover, the system can switch between a basic data view where a synoptic scenario of the hazard can be shown all over the region and a more in-depth view were the rainfall path of rain gauges can be displayed and constantly compared with rainfall thresholds. To better account for the variability of the geomorphological and meteorological settings encountered in Tuscany, the region is subdivided into 25 alert zones, each provided with a specific threshold. The warning system reflects this subdivision: using a network of more than 300 rain gauges, it allows for the monitoring of each alert zone separately so that warnings can be issued independently. An important feature of the warning system is that the visualization of the thresholds in the WebGIS interface may vary in time depending on when the starting time of the rainfall event is set. The starting time of the rainfall event is considered as a variable by the early warning system: whenever new rainfall data are available, a recursive algorithm identifies the starting time for which the rainfall path is closest to or overcomes the threshold. This is considered the most hazardous condition, and it is displayed by the WebGIS interface. The early warning system is used to forecast and monitor the landslide hazard in the whole region

  11. Infra-Free® (IF) Architecture System as the Method for Post-Disaster Shelter Model

    Science.gov (United States)

    Chang, Huai-Chien; Anilir, Serkan

    Currently, International Space Station (ISS) is capable to support 3 to 4 astronauts onboard for at least 6 months using an integrated life support system to support the need of crew onboard. Waste from daily life of the crew members are collected by waste recycle systems, electricity consumption depends on collecting solar energy, etc. though it likes the infrastructure we use on Earth, ISS can be comprehended nearly a self-reliant integrated architecture so far, this could be given an important hint for current architecture which is based on urban centralized infrastructure to support our daily lives but could be vulnerable in case of nature disasters. Comparatively, more and more economic activities and communications rely on the enormous urban central infrastructure to support our daily lives. Therefore, when in case of natural disasters, it may cut-out the infrastructure system temporarily or permanent. In order to solve this problem, we propose to design a temporary shelter, which is capable to work without depending on any existing infrastructure. We propose to use some closed-life-cycle or integrated technologies inspired by the possibilities of space and other emerging technologies into current daily architecture by using Infra-free® design framework; which proposes to integrate various life supporting infrastructural elements into one-closed system. We try to work on a scenario for post-disaster management housing as the method for solving the lifeline problems such as solid and liquid waste, energy, and water and hygiene solution into one system. And trying to establish an Infra-free® model of shelter for disaster area. The ultimate objective is to design a Temp Infra-free® model dealing with the sanitation and environment preservation concerns for disaster area.

  12. Massachusetts Early Warning Indicator System (EWIS). "Technical Descriptions of Risk Model Development": Middle and High School Age Groupings (Grades 7-12)

    Science.gov (United States)

    Massachusetts Department of Elementary and Secondary Education, 2013

    2013-01-01

    The Massachusetts Department of Elementary and Secondary Education (Department) created the grades 1-12 Early Warning Indicator System (EWIS) in response to district interest in the Early Warning Indicator Index (EWII) that the Department previously created for rising grade 9 students. Districts shared that the EWII data were helpful, but also…

  13. Massachusetts Early Warning Indicator System (EWIS). "Technical Descriptions of Risk Model Development": Early and Late Elementary Age Groupings (Grades 1-6)

    Science.gov (United States)

    Massachusetts Department of Elementary and Secondary Education, 2013

    2013-01-01

    The Massachusetts Department of Elementary and Secondary Education (Department) created the grades 1-12 Early Warning Indicator System (EWIS) in response to district interest in the Early Warning Indicator Index (EWII) that the Department previously created for rising grade 9 students. Districts shared that the EWII data were helpful, but also…

  14. Management of natural crises with choreography and orchestration of federated warning-systems

    Science.gov (United States)

    Haener, Rainer; Waechter, Joachim; Hammitzsch, Martin

    2013-04-01

    The project Collaborative, Complex and Critical Decision-Support in Evolving Crises (TRIDEC), co-funded by the European Commission in its Seventh Framework Programme focuses on real-time intelligent information management in earth management. The addressed challenges include the design and implementation of a robust and scalable service infrastructure supporting the integration of existing resources, components and systems. Key challenge for TRIDEC is establishing a network of independent systems, cooperatively interacting as a collective in a system-of-systems (SoS). For this purpose TRIDEC adopts enhancements of service-oriented architecture (SOA) principles in terms of an event-driven architecture (EDA) design (SOA 2.0). In this way TRIDEC establishes large-scale concurrent and intelligent information management of a manifold of crisis types by focusing on the integration of autonomous, task-oriented and geographically distributed systems. To this end TRIDEC adapts both ways SOA 2.0 offers: orchestration and choreography. In orchestration, a central knowledge-based processing framework takes control over the involved services and coordinates their execution. Choreography on the other hand avoids central coordination. Rather, each system involved in the SoS follows a global scenario without a single point of control but specifically defined (enacted, agreed upon) trigger conditions. More than orchestration choreography allows collaborative business processes of various heterogeneous sub-systems (e.g. cooperative decision making) by concurrent Complex Event Processing (CEP) and asynchronous communication. These types of interaction adapt the concept of decoupled relationships between information producers (e.g. sensors and sensor systems) and information consumers (e.g. warning systems and warning dissemination systems). Asynchronous communication is useful if a participant wants to trigger specific actions by delegating the responsibility (separation of concerns

  15. Drought early warning and risk management in a changing environment

    Science.gov (United States)

    Pulwarty, R. S.

    2011-12-01

    Drought has long been recognized as falling into the category of incremental but long-term and cumulative environmental changes, also termed slow-onset or creeping events. These event types would include: air and water quality decline, desertification processes, deforestation and forest fragmentation, loss of biodiversity and habitats, and nitrogen overloading, among others. Climate scientists continue to struggle with recognizing the onset of drought and scientists and policy makers continue to debate the basis (i.e., criteria) for declaring an end to a drought. Risk-based management approaches to drought planning at the national and regional levels have been recommended repeatedly over the years but their prototyping, testing and operational implementation have been limited. This presentation will outline two avenues for disaster risk reduction in the context of drought (1) integrated early warning information systems, and (2) linking disaster risk reduction to climate change adaptation strategies. Adaptation involves not only using operational facilities and infrastructure to cope with the immediate problems but also leaving slack or reserve for coping with multiple stress problems that produce extreme impacts and surprise. Increasing the 'anticipatability' of an event, involves both monitoring of key indicators from appropriate baseline data, and observing early warning signs that assumptions in risk management plans are failing and critical transitions are occurring. Illustrative cases will be drawn from the IPCC Special Report on Managing the Risks of Extreme Events and Disasters (2011), the UN Global Assessment of Disaster Risk Reduction (2011) and implementation activities in which the author has been engaged. Most drought early warning systems have tended to focus on the development and use of physical system indicators and forecasts of trends and thresholds. We show that successful early warning systems that meet expectations of risk management also have

  16. Highway-rail intersection GPS-based in-vehicle warning systems - literature review and recommendations.

    Science.gov (United States)

    2012-12-31

    In 2008, there were 2,395 incidents at highway-rail intersections (level crossings) in the United States, resulting in 939 injuries and 287 fatalities. Crossing elimination, grade separation, and the implementation of traditional warning devices are ...

  17. Vehicle infrastructure integration (VII) based road-condition warning system for highway collision prevention.

    Science.gov (United States)

    2009-05-01

    As a major ITS initiative, the Vehicle Infrastructure Integration (VII) program is to revolutionize : transportation by creating an enabling communication infrastructure that will open up a wide range of : safety applications. The road-condition warn...

  18. Megacity Indicator System for Disaster Risk Management in Istanbul (MegaIST)

    Science.gov (United States)

    Yahya Menteşe, Emin; Kılıç, Osman; Baş, Mahmut; Khazai, Bijan; Ergün Konukcu, Betul; Emre Basmacı, Ahmet

    2017-04-01

    Decision makers need tools to understand the priorities and to set up benchmarks and track progress in their disaster risk reduction activities, so that they can justify their decisions and investments. In this regard, Megacity Indicator System for Disaster Risk Management (MegaIST), is developed in order to be used in disaster risk management studies, for decision makers and managers to establish right strategies and proper risk reduction actions, enhance resource management and investment decisions, set priorities, monitor progress in DRM and validate decisions taken with the aim of helping disaster oriented urban redevelopment, inform investors about risk profile of the city and providing a basis for dissemination and sharing of risk components with related stakeholders; by Directorate of Earthquake and Ground Research of Istanbul Metropolitan Municipality (IMM). MegaIST achieves these goals by analyzing the earthquake risk in three separate but complementary sub-categories consisting of "urban seismic risk, coping capacity and disaster risk management index" in an integrated way. MegaIST model fosters its analyses by presenting the outputs in a simple and user friendly format benefiting from GIS technology that ensures the adoptability of the model's use. Urban seismic risk analysis includes two components, namely; Physical Risk and Social Vulnerability Analysis. Physical risk analysis is based on the possible physical losses (such as building damage, casualties etc.) due to an earthquake while social vulnerability is considered as a factor that increases the results of the physical losses in correlation with the level of education, health, economic status and disaster awareness/preparedness of society. Coping capacity analysis is carried out with the aim of understanding the readiness of the Municipality to respond and recover from a disaster in Istanbul can be defined both in terms of the Municipality's operational capacities - the capacity of the

  19. Signalling fiscal stress in the euro area - a country-specific early warning system

    OpenAIRE

    Hernández de Cos, Pablo; Koester, Gerrit B.; Moral-Benito, Enrique; Nickel, Christiane

    2014-01-01

    The sovereign debt crisis in the euro area has increased the interest in early warning indicators, with the aim to indicate the build?up of fiscal stress early on and to facilitate crisis prevention by a timely counteraction of fiscal and macroeconomic policies. This paper presents possible improvements to enhance existing early warning indicators for fiscal stress, especially for the euro area. We show that a country?specific approach could strongly increase the signalling power of early war...

  20. A Drought Early Warning System Using System Dynamics Model and Seasonal Climate Forecasts: a case study in Hsinchu, Taiwan.

    Science.gov (United States)

    Tien, Yu-Chuan; Tung, Ching-Ping; Liu, Tzu-Ming; Lin, Chia-Yu

    2016-04-01

    In the last twenty years, Hsinchu, a county of Taiwan, has experienced a tremendous growth in water demand due to the development of Hsinchu Science Park. In order to fulfill the water demand, the government has built the new reservoir, Baoshan second reservoir. However, short term droughts still happen. One of the reasons is that the water level of the reservoirs in Hsinchu cannot be reasonably forecasted, which sometimes even underestimates the severity of drought. The purpose of this study is to build a drought early warning system that projects the water levels of two important reservoirs, Baoshan and Baoshan second reservoir, and also the spatial distribution of water shortagewith the lead time of three months. Furthermore, this study also attempts to assist the government to improve water resources management. Hence, a system dynamics model of Touchien River, which is the most important river for public water supply in Hsinchu, is developed. The model consists of several important subsystems, including two reservoirs, water treatment plants and agricultural irrigation districts. Using the upstream flow generated by seasonal weather forecasting data, the model is able to simulate the storage of the two reservoirs and the distribution of water shortage. Moreover, the model can also provide the information under certain emergency scenarios, such as the accident or failure of a water treatment plant. At last, the performance of the proposed method and the original water resource management method that the government used were also compared. Keyword: Water Resource Management, Hydrology, Seasonal Climate Forecast, Reservoir, Early Warning, Drought

  1. A Steady-State Visual Evoked Potential Brain-Computer Interface System Evaluation as an In-Vehicle Warning Device

    Science.gov (United States)

    Riyahi, Pouria

    This thesis is part of current research at Center for Intelligence Systems Research (CISR) at The George Washington University for developing new in-vehicle warning systems via Brain-Computer Interfaces (BCIs). The purpose of conducting this research is to contribute to the current gap between BCI and in-vehicle safety studies. It is based on the premise that accurate and timely monitoring of human (driver) brain's signal to external stimuli could significantly aide in detection of driver's intentions and development of effective warning systems. The thesis starts with introducing the concept of BCI and its development history while it provides a literature review on the nature of brain signals. The current advancement and increasing demand for commercial and non-medical BCI products are described. In addition, the recent research attempts in transportation safety to study drivers' behavior or responses through brain signals are reviewed. The safety studies, which are focused on employing a reliable and practical BCI system as an in-vehicle assistive device, are also introduced. A major focus of this thesis research has been on the evaluation and development of the signal processing algorithms which can effectively filter and process brain signals when the human subject is subjected to Visual LED (Light Emitting Diodes) stimuli at different frequencies. The stimulated brain generates a voltage potential, referred to as Steady-State Visual Evoked Potential (SSVEP). Therefore, a newly modified analysis algorithm for detecting the brain visual signals is proposed. These algorithms are designed to reach a satisfactory accuracy rate without preliminary trainings, hence focusing on eliminating the need for lengthy training of human subjects. Another important concern is the ability of the algorithms to find correlation of brain signals with external visual stimuli in real-time. The developed analysis models are based on algorithms which are capable of generating results

  2. Short term prediction of the horizontal wind vector within a wake vortex warning system

    Energy Technology Data Exchange (ETDEWEB)

    Frech, M.; Holzaepfel, F.; Gerz, T. [DLR Deutsches Zentrum fuer Luft- und Raumfahrt e.V., Wessling (Germany). Inst. fuer Physik der Atmosphaere; Konopka, J. [Deutsche Flugsicherung (DFS) GmbH, Langen (Germany)

    2000-07-14

    A wake vortex warning system (WVWS) has been developed for Frankfurt airport. This airport has two parallel runways which are separated by 518 m, a distance too short to operate them independently because wake vortices may be advected to the adjacent runway. The objective of the WVWS is to enable operation with reduced separation between two aircraft approaching the parallel runways at appropriate wind conditions. The WVWS applies a statistical persistence model to predict the crosswind within a 20 minute period. One of the main problems identified in the old WVWS are discontinuities between successive forecasts. These forecast breakdowns were not acceptable to airtraffic controllers. At least part of the problem was related to the fact that the forecast was solely based on the prediction of crosswind. A new method is developed on the basis of 523 days of sonic anemometer measurements at Frankfurt airport. It is demonstrated that the prediction of the horizontal wind vector avoids these difficulties and significantly improves the system's performance. (orig.)

  3. Excessive Heat Events and National Security: Building Resilience based on Early Warning Systems

    Science.gov (United States)

    Vintzileos, A.

    2017-12-01

    Excessive heat events (EHE) affect security of Nations in multiple direct and indirect ways. EHE are the top cause for morbidity/mortality associated to any atmospheric extremes. Higher energy consumption used for cooling can lead to black-outs and social disorder. EHE affect the food supply chain reducing crop yield and increasing the probability of food contamination during delivery and storage. Distribution of goods during EHE can be severely disrupted due to mechanical failure of transportation equipment. EHE during athletic events e.g., marathons, may result to a high number of casualties. Finally, EHE may also affect military planning by e.g. reducing hours of exercise and by altering combat gear. Early warning systems for EHE allow for building resilience. In this paper we first define EHE as at least two consecutive heat days; a heat day is defined as a day with a maximum heat index with probability of occurrence that exceeds a certain threshold. We then use retrospective forecasts performed with a multitude of operational models and show that it is feasible to forecast EHE at forecast lead of week-2 and week-3 over the contiguous United States. We finally introduce an improved definition of EHE based on an intensity index and investigate forecast skill of the predictive system in the tropics and subtropics.

  4. Monitoring slope movement using time domain reflectometry (TDR) technology and early warning system

    International Nuclear Information System (INIS)

    Wan Zakaria Wan Muhamad Tahir, Lakam Mejus; Johari Abd Latif

    2006-01-01

    Many options of electronic instrumentation are available for monitoring unstable and/or potentially unstable slopes. One of the tools is applying TDR technology which is now regarded as a cost effective and alternative means for locating the depth to a shear plane or zone in a landslide. TDR uses an electronic voltage pulse that is reflected like radar from a damaged or deformed location in a coaxial cable. To monitor slope movement, coaxial cables are grouted in boreholes and interrogated using a TDR cable tester, which is attached to a programmed data logger. Characteristic cable signatures can be stored and compared over time for any changes indicating slope movement. This paper describes a case study documenting TDR installation procedure, data acquisition system and on-site TDR data collection of an unstable hill slope in Kampong Bharu -Bukit Tinggi, Bentong. A possibility of using a remotely automated monitoring system (advanced telemetry and data logger) that can incorporate with other types of sensors (e.g. rain gauge, vibrating wire piezometer, in-place inclinometer) together with many TDR sensor cables as an integrated package for early-warning of potential unstable slope movement around the area was highlighted and proposed. (Author)

  5. Perspectives on using remotely-sensed imagery in predictive veterinary epidemiology and global early warning systems.

    Science.gov (United States)

    Martin, Vincent; De Simone, Lorenzo; Lubroth, Juan; Ceccato, Pietro; Chevalier, Véronique

    2007-11-01

    Recent disease epidemics and their spread around the world have illustrated the weaknesses of disease surveillance and early warning systems (EWS), both at national and international levels. These diseases continuously threaten the livestock sector on a worldwide basis, some with major public health impact. EWS and accurate forecasting of new outbreaks of epidemic livestock diseases that may also affect wildlife, and the capacity for spread of such diseases to new areas is an essential pre-requisite to their effective containment and control. Because both the geographical and seasonal distribution of many infectious diseases are linked to climate, the possibility of using climaterelated environmental factors as predictive indicators, in association with regular disease surveillance activities, has proven to be relevant when establishing EWS for climate-related diseases. This article reviews the growing importance of using geographical information systems in predictive veterinary epidemiology and its integration into EWS, with a special focus on Rift Valley fever. It shows that, once fully validated in a country or region, this technology appears highly valuable and could play an increasing role in forecasting major epidemics, providing lead time to national veterinary services to take action to mitigate the impact of the disease in a cost-effective manner.

  6. Use of SEVIRI images and derived products in a WMO Sand and dust Storm Warning System

    Energy Technology Data Exchange (ETDEWEB)

    MartInez, M A; Ruiz, J; Cuevas, E [Agencia Estatal de MeteorologIa (AEMET) (Spain)], E-mail: mig@inm.es

    2009-03-01

    The Visible/IR images of SEVIRI (Spinning Enhanced Visible and Infrared Imager), on board Meteosat Second Generation (MSG) satellites, are used to monitor dust events. Satellite-based detection of dust is a difficult problem due in part to the observing-system limitations. The main difficulty is that the dust can be confused with water/ice clouds. SEVIRI is not as optimal for the viewing of dust as SEAWIFS or MODIS, due to the fact that both of them count with additional short-wavelength channels. However, the SEVIRI 15-minute loop images can detect small dust plumes as well as subtle changes from one image to the next. A description of how the AEMET, former INM, is developing the environment to support MSG satellite imagery to the WMO/GEO Sand and Dust Storm Warning System (SDS WS) for Europe, Africa and Middle East Regional Centre will be briefly presented, together with some on-going operational developments to best monitor dust events.

  7. User interface prototype for geospatial early warning systems - a tsunami showcase