WorldWideScience

Sample records for network warn iii

  1. Early warning network of Slovenia

    International Nuclear Information System (INIS)

    Three subnetworks: EIS NEK, RAMS, and ROS form the basis of the Slovenian early warning network, named ROSS, which is under construction. Its aim is to detect any domestic or foreign incident where radioactive material was spread into environment. The system is planned to be completed in five years. (author)

  2. Drug Abuse Warning Network (DAWN-2009)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED)...

  3. Drug Abuse Warning Network (DAWN-2007)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED)...

  4. Drug Abuse Warning Network (DAWN-2006)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED)...

  5. Drug Abuse Warning Network (DAWN-2008)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED)...

  6. Drug Abuse Warning Network (DAWN-2011)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED)...

  7. Drug Abuse Warning Network (DAWN-2010)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED)...

  8. Drug Abuse Warning Network (DAWN-2005)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED)...

  9. Drug Abuse Warning Network (DAWN-2004)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED)...

  10. Early Warning Network of The Czech Republic

    International Nuclear Information System (INIS)

    The Early Warning Network, part of the Radiation Monitoring Network of The Czech Republic, has been established after 1990 to provide overview information about radiation situation across the territory of Czech Republic and to raise an alarm in case of unreported accident outside the territory of Czech Republic. The Early Warning Network measuring sites are equipped with two-probe system. As a result of combination of a low-range probe (proportional counter, dose-rate range 10-8 to 10-3 Sv/h) and a high-range probe (Geiger-Mueller counter, 10-5 to 1 Sv/h) the system is able to cover the dose-rate range from natural background to values in real emergency situation. The energy range covered is 20 keV to 2 MeV and 55 keV to 2 MeV, respectively

  11. Early warning network of the Czech Republic

    International Nuclear Information System (INIS)

    The Early Warning Network encompasses 48 measuring sites covering the whole territory of the Czech Republic; 38 of them are located at observatories of the Czech Hydro-Meteorological Institute (28 at round-the-clock manned observatories, 10 at unmanned, automated observatories) and 10 are located at air contamination measuring points operated by the National Radiation Protection Institute and Regional Centres of the State Office for Nuclear Safety. The network operates in one of 3 modes: the standard mode, alert mode, and emergency mode. (P.A.)

  12. Drug Abuse Warning Network US (DAWN-NS-1994)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Drug Abuse Warning Network (DAWN) survey is designed to capture data on emergency department (ED) episodes that are induced by or related to the use of an...

  13. Drug Abuse Warning Network US (DAWN-NS-1997)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Drug Abuse Warning Network (DAWN) survey is designed to capture data on emergency department (ED) episodes that are induced by or related to the use of an...

  14. Famine Early Warning System Network (FEWS NET)

    Science.gov (United States)

    Verdin, James P.

    2006-01-01

    The FEWS NET mission is to identify potentially food-insecure conditions early through the provision of timely and analytical hazard and vulnerability information. U.S. Government decision-makers act on this information to authorize mitigation and response activities. The U.S. Geological Survey (USGS) FEWS NET provides tools and data for monitoring and forecasting the incidence of drought and flooding to identify shocks to the food supply system that could lead to famine. Historically focused on Africa, the scope of the network has expanded to be global coverage. FEWS NET implementing partners include the USGS, National Aeronautics and Space Administration (NASA), National Oceanic and Atmospheric Administration (NOAA), United States Agency for International Development (USAID), United States Department of Agriculture (USDA), and Chemonics International.

  15. 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.

  16. Artificial Neural Networks for Earthquake Early-Warning

    Science.gov (United States)

    Boese, M.; Erdik, M.; Wenzel, F.

    2003-12-01

    recognition task. The seismic patterns are defined by the shape and frequency content of the parts of seismograms that are available at each time step. From these, parameters that are relevant to seismic damage, such as peak ground acceleration (PGA), peak ground velocity (PGV), response spectral amplitudes at certain periods and macroseismic intensity, are estimated using Artificial Neural Networks (ANN). We combine pattern recognition with an additional rule-based system in order to detect inconsistencies between ground motion estimations and measurements. This combination provides a reliable and accurate system for early-warning that is demanded by its huge social and economic impact.

  17. The Self-Organising Seismic Early Warning Information Network

    Science.gov (United States)

    Eveslage, Ingmar; Fischer, Joachim; Kühnlenz, Frank; Lichtblau, Björn; Milkereit, Claus; Picozzi, Matteo

    2010-05-01

    The Self-Organising Seismic Early Warning Information Network (SOSEWIN) represents a new approach for Earthquake Early Warning Systems (EEWS), consisting in taking advantage of novel wireless communications technologies without the need of a planned, centralised infrastructure. It also sets out to overcome problems of insufficient node density, which typically affects present existing early warning systems, by having the SOSEWIN seismological sensing units being comprised of low-cost components (generally bought "off-the-shelf"), with each unit initially costing 100's of Euros, in contrast to 1,000's to 10,000's for standard seismological stations. The reduced sensitivity of the new sensing units arising from the use of lower-cost components will be compensated by the network's density, which in the future is expected to number 100's to 1000's over areas served currently by the order of 10's of standard stations. The robustness, independence of infrastructure, spontaneous extensibility due to a self-healing/self-organizing character in the case of removing/failing or adding sensors makes SOSEWIN potentially useful for various use cases, e.g. monitoring of building structures (as we could proof during the L'Aquila earthquake) or technical systems and most recently for seismic microzonation. Nevertheless the main purpose SOSEWIN was initially invented for is the earthquake early warning and rapid response, for which reason the ground motion is continuously monitored by conventional accelerometers (3-component) and processed within a station. Based on this, the network itself decides whether an event is detected cooperatively in a two-level hierarchical alarming protocol. Experiences and experiment results with the SOSEWIN-prototype installation in the Ataköy district of Istanbul (Turkey) are presented. The limited size of this installation with currently 20 nodes allows not answering certain questions regarding the useful or possible size of a SOSEWIN installation

  18. World Antimalarial Resistance Network (WARN IV: Clinical pharmacology

    Directory of Open Access Journals (Sweden)

    Gbotosho Grace O

    2007-09-01

    Full Text Available Abstract A World Antimalarial Resistance Network (WARN database has the potential to improve the treatment of malaria, through informing current drug selection and use and providing a prompt warning of when treatment policies need changing. This manuscript outlines the contribution and structure of the clinical pharmacology component of this database. The determinants of treatment response are multi-factorial, but clearly providing adequate blood concentrations is pivotal to curing malaria. The ability of available antimalarial pharmacokinetic data to inform optimal dosing is constrained by the small number of patients studied, with even fewer (if any studies conducted in the most vulnerable populations. There are even less data relating blood concentration data to the therapeutic response (pharmacodynamics. By pooling all available pharmacokinetic data, while paying careful attention to the analytical methodologies used, the limitations of small (and thus underpowered individual studies may be overcome and factors that contribute to inter-individual variability in pharmacokinetic parameters defined. Key variables for pharmacokinetic studies are defined in terms of patient (or study subject characteristics, the formulation and route of administration of the antimalarial studied, the sampling and assay methodology, and the approach taken to data analysis. Better defining these information needs and criteria of acceptability of pharmacokinetic-pharmacodynamic (PK-PD studies should contribute to improving the quantity, relevance and quality of these studies. A better understanding of the pharmacokinetic properties of antimalarials and a more clear definition of what constitutes "therapeutic drug levels" would allow more precise use of the term "antimalarial resistance", as it would indicate when treatment failure is not caused by intrinsic parasite resistance but is instead the result of inadequate drug levels. The clinical pharmacology component

  19. Neural Network Methodology for Earthquake Early Warning - first applications

    Science.gov (United States)

    Wenzel, F.; Koehler, N.; Cua, G.; Boese, M.

    2007-12-01

    PreSEIS is a method for earthquake early warning for finite faults (Böse, 2006) that is based on Artificial Neural Networks (ANN's), which are used for the mapping of seismic observations onto likely source parameters, including the moment magnitude and the location of an earthquake. PreSEIS integrates all available information on ground shaking at different sensors in a seismic network and up-dates the estimates of seismic source parameters regularly with proceeding time. PreSEIS has been developed and tested with synthetic waveform data using the example of Istanbul, Turkey (Böse, 2006). We will present first results of the application of PreSEIS to real data from Southern California, recorded at stations from the Southern California Seismic Network. The dataset consists of 69 shallow local earthquakes with moment magnitudes ranging between 1.96 and 7.1. The data come from broadband (20 or 40 Hz) or high broadband (80 or 100 Hz), high gain channels (3-component). The Southern California dataset will allow a comparison of our results to those of the Virtual Seismologist (Cua, 2004). We used the envelopes of the waveforms defined by Cua (2004) as input for the ANN's. The envelopes were obtained by taking the maximum absolute amplitude value of the recorded ground motion time history over a 1-second time window. Due to the fact that not all of the considered stations have recorded each earthquake, the missing records were replaced by synthetic envelopes, calculated by envelope attenuation relationships developed by Cua (2004).

  20. Technical report on prototype intelligent network flow optimization (INFLO) dynamic speed harmonization and queue warning.

    Science.gov (United States)

    2015-06-01

    This Technical Report on Prototype Intelligent Network Flow Optimization (INFLO) Dynamic Speed Harmonization and : Queue Warning is the final report for the project. It describes the prototyping, acceptance testing and small-scale : demonstration of ...

  1. Cable Overheating Risk Warning Method Based on Impedance Parameter Estimation in Distribution Network

    Science.gov (United States)

    Yu, Zhang; Xiaohui, Song; Jianfang, Li; Fei, Gao

    2017-05-01

    Cable overheating will lead to the cable insulation level reducing, speed up the cable insulation aging, even easy to cause short circuit faults. Cable overheating risk identification and warning is nessesary for distribution network operators. Cable overheating risk warning method based on impedance parameter estimation is proposed in the paper to improve the safty and reliability operation of distribution network. Firstly, cable impedance estimation model is established by using least square method based on the data from distribiton SCADA system to improve the impedance parameter estimation accuracy. Secondly, calculate the threshold value of cable impedance based on the historical data and the forecast value of cable impedance based on the forecasting data in future from distribiton SCADA system. Thirdly, establish risks warning rules library of cable overheating, calculate the cable impedance forecast value and analysis the change rate of impedance, and then warn the overheating risk of cable line based on the overheating risk warning rules library according to the variation relationship between impedance and line temperature rise. Overheating risk warning method is simulated in the paper. The simulation results shows that the method can identify the imedance and forecast the temperature rise of cable line in distribution network accurately. The result of overheating risk warning can provide decision basis for operation maintenance and repair.

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

    CSIR Research Space (South Africa)

    Dabrowski, JJ

    2016-11-01

    Full Text Available For decades, the literature on banking crisis early-warning systems has been dominated by two methods, namely, the signal extraction and the logit model methods. However, these methods, do not model the dynamics of the systemic banking system...

  3. The Method of Oilfield Development Risk Forecasting and Early Warning Using Revised Bayesian Network

    Directory of Open Access Journals (Sweden)

    Yihua Zhong

    2016-01-01

    Full Text Available Oilfield development aiming at crude oil production is an extremely complex process, which involves many uncertain risk factors affecting oil output. Thus, risk prediction and early warning about oilfield development may insure operating and managing oilfields efficiently to meet the oil production plan of the country and sustainable development of oilfields. However, scholars and practitioners in the all world are seldom concerned with the risk problem of oilfield block development. The early warning index system of blocks development which includes the monitoring index and planning index was refined and formulated on the basis of researching and analyzing the theory of risk forecasting and early warning as well as the oilfield development. Based on the indexes of warning situation predicted by neural network, the method dividing the interval of warning degrees was presented by “3σ” rule; and a new method about forecasting and early warning of risk was proposed by introducing neural network to Bayesian networks. Case study shows that the results obtained in this paper are right and helpful to the management of oilfield development risk.

  4. 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.

  5. Road Accident Prevention with Instant Emergency Warning Message Dissemination in Vehicular Ad-Hoc Network.

    Directory of Open Access Journals (Sweden)

    P Gokulakrishnan

    Full Text Available A Road Accident Prevention (RAP scheme based on Vehicular Backbone Network (VBN structure is proposed in this paper for Vehicular Ad-hoc Network (VANET. The RAP scheme attempts to prevent vehicles from highway road traffic accidents and thereby reduces death and injury rates. Once the possibility of an emergency situation (i.e. an accident is predicted in advance, instantly RAP initiates a highway road traffic accident prevention scheme. The RAP scheme constitutes the following activities: (i the Road Side Unit (RSU constructs a Prediction Report (PR based on the status of the vehicles and traffic in the highway roads, (ii the RSU generates an Emergency Warning Message (EWM based on an abnormal PR, (iii the RSU forms a VBN structure and (iv the RSU disseminates the EWM to the vehicles that holds the high Risk Factor (RF and travels in High Risk Zone (HRZ. These vehicles might reside either within the RSU's coverage area or outside RSU's coverage area (reached using VBN structure. The RAP scheme improves the performance of EWM dissemination in terms of increase in notification and decrease in end-to-end delay. The RAP scheme also reduces infrastructure cost (number of RSUs by formulating and deploying the VBN structure. The RAP scheme with VBN structure improves notification by 19 percent and end-to-end delay by 14.38 percent for a vehicle density of 160 vehicles. It is also proved from the simulation experiment that the performance of RAP scheme is promising in 4-lane highway roads.

  6. Early warning model based on correlated networks in global crude oil markets

    Science.gov (United States)

    Yu, Jia-Wei; Xie, Wen-Jie; Jiang, Zhi-Qiang

    2018-01-01

    Applying network tools on predicting and warning the systemic risks provides a novel avenue to manage risks in financial markets. Here, we construct a series of global crude oil correlated networks based on the historical 57 oil prices covering a period from 1993 to 2012. Two systemic risk indicators are constructed based on the density and modularity of correlated networks. The local maximums of the risk indicators are found to have the ability to predict the trends of oil prices. In our sample periods, the indicator based on the network density sends five signals and the indicator based on the modularity index sends four signals. The four signals sent by both indicators are able to warn the drop of future oil prices and the signal only sent by the network density is followed by a huge rise of oil prices. Our results deepen the application of network measures on building early warning models of systemic risks and can be applied to predict the trends of future prices in financial markets.

  7. Establishing an early warning alert and response network following the Solomon Islands tsunami in 2013.

    Science.gov (United States)

    Bilve, Augustine; Nogareda, Francisco; Joshua, Cynthia; Ross, Lester; Betcha, Christopher; Durski, Kara; Fleischl, Juliet; Nilles, Eric

    2014-11-01

    On 6 February 2013, an 8.0 magnitude earthquake generated a tsunami that struck the Santa Cruz Islands, Solomon Islands, killing 10 people and displacing over 4700. A post-disaster assessment of the risk of epidemic disease transmission recommended the implementation of an early warning alert and response network (EWARN) to rapidly detect, assess and respond to potential outbreaks in the aftermath of the tsunami. Almost 40% of the Santa Cruz Islands' population were displaced by the disaster, and living in cramped temporary camps with poor or absent sanitation facilities and insufficient access to clean water. There was no early warning disease surveillance system. By 25 February, an EWARN was operational in five health facilities that served 90% of the displaced population. Eight priority diseases or syndromes were reported weekly; unexpected health events were reported immediately. Between 25 February and 19 May, 1177 target diseases or syndrome cases were reported. Seven alerts were investigated. No sustained transmission or epidemics were identified. Reporting compliance was 85%. The EWARN was then transitioned to the routine four-syndrome early warning disease surveillance system. It was necessary to conduct a detailed assessment to evaluate the risk and potential impact of serious infectious disease outbreaks, to assess whether and how enhanced early warning disease surveillance should be implemented. Local capacities and available resources should be considered in planning EWARN implementation. An EWARN can be an opportunity to establish or strengthen early warning disease surveillance capabilities.

  8. A Topology Visualization Early Warning Distribution Algorithm for Large-Scale Network Security Incidents

    Directory of Open Access Journals (Sweden)

    Hui He

    2013-01-01

    Full Text Available It is of great significance to research the early warning system for large-scale network security incidents. It can improve the network system’s emergency response capabilities, alleviate the cyber attacks’ damage, and strengthen the system’s counterattack ability. A comprehensive early warning system is presented in this paper, which combines active measurement and anomaly detection. The key visualization algorithm and technology of the system are mainly discussed. The large-scale network system’s plane visualization is realized based on the divide and conquer thought. First, the topology of the large-scale network is divided into some small-scale networks by the MLkP/CR algorithm. Second, the sub graph plane visualization algorithm is applied to each small-scale network. Finally, the small-scale networks’ topologies are combined into a topology based on the automatic distribution algorithm of force analysis. As the algorithm transforms the large-scale network topology plane visualization problem into a series of small-scale network topology plane visualization and distribution problems, it has higher parallelism and is able to handle the display of ultra-large-scale network topology.

  9. The use of passive environmental TLDs in the operation of the Spanish early warning network 'Revira'

    International Nuclear Information System (INIS)

    As required by different international agreements, the regulatory body in Spain (Consejo de Seguridad Nuclear) implemented in 1992 a national automatic network (REVIRA) that continuously monitors radiation levels in order to give early warning of incidents having potential transboundary implications. The detector for environmental gamma radiation dose rate is an active instrument based on a Geiger-Mueller counter. However, the use of passive environmental dosemeters provides an additional low-cost dose estimate with an independent centralised calibration and even better basic features than active instruments. Since 1999, all 25 REVIRA stations have been monitored with passive TL environmental dosemeters based on LiF:Mg,Cu,P and operated according to the procedures established at Ciemat. This paper presents the obtained results and the further analysis considering differences in aspects such as photon energy response, inherent background or response to cosmic rays. The benefits of the use of passive environmental dosemeters in early warning networks are discussed. (author)

  10. Assessing earthquake early warning using sparse networks in developing countries: Case study of the Kyrgyz Republic

    Science.gov (United States)

    Parolai, Stefano; Boxberger, Tobias; Pilz, Marco; Fleming, Kevin; Haas, Michael; Pittore, Massimiliano; Petrovic, Bojana; Moldobekov, Bolot; Zubovich, Alexander; Lauterjung, Joern

    2017-09-01

    The first real-time digital strong-motion network in Central Asia has been installed in the Kyrgyz Republic since 2014. Although this network consists of only 19 strong-motion stations, they are located in near-optimal locations for earthquake early warning and rapid response purposes. In fact, it is expected that this network, which utilizes the GFZ-Sentry software, allowing decentralized event assessment calculations, not only will provide useful strong motion data useful for improving future seismic hazard and risk assessment, but will serve as the backbone for regional and on-site earthquake early warning operations. Based on the location of these stations, and travel-time estimates for P- and S-waves, we have determined potential lead times for several major urban areas in Kyrgyzstan (i.e., Bishkek, Osh, and Karakol) and Kazakhstan (Almaty), where we find the implementation of an efficient earthquake early warning system would provide lead times outside the blind zone ranging from several seconds up to several tens of seconds. This was confirmed by the simulation of the possible shaking (and intensity) that would arise considering a series of scenarios based on historical and expected events, and how they affect the major urban centres. Such lead times would allow the instigation of automatic mitigation procedures, while the system as a whole would support prompt and efficient actions to be undertaken over large areas.

  11. [Establishment of malaria early warning system in Jiangsu Province III effect of automatic early warning information system on the response of malaria elimination].

    Science.gov (United States)

    Wang, Wei-Ming; Zhou, Hua-Yun; Liu, Yao-Bao; Cao, Yuan-Yuan; Cao, Jun; Gao, Qi

    2014-02-01

    To evaluate the effect of automatic early warning information system on the response of malaria elimination in Jiangsu Province through the operation of the national automatic early warning system of infectious diseases. The malaria early warning information was collected from the automatic early warning information subsystem in the national information system for diseases control and prevention. Malaria early warning signals were analyzed from September 1 to December 31, 2012. The statistical analysis was conducted for the completion rates of case investigation within 3 days before and after the application of malaria early warning information system. Jiangsu Province received 85 mobile phone short messages (SMS) of malaria case from early warning system from September 1 to December 31, 2012. After judgments, 23 cases were deleted including 8 repeated cases and 15 cases that were excluded through the microscopy examination and epidemiological investigation by the confirmation of county CDC. From July to December in 2012, the monthly completion rates of case investigation within 3 days were 55.56%, 78.57%, 90.00%, 100%, 100% and 100%, respectively. The completion rates of case investigation within 3 days in July, August, September and October were significantly different by chi2 test ( chi2 = 10.66, P early warning system. The malaria warning system from the national infectious diseases can effectively improve the response to malaria cases for primary CDC. It also plays an important role for the timely confirmation and diagnosis of malaria cases.

  12. MyShake: A smartphone seismic network for earthquake early warning and beyond.

    Science.gov (United States)

    Kong, Qingkai; Allen, Richard M; Schreier, Louis; Kwon, Young-Woo

    2016-02-01

    Large magnitude earthquakes in urban environments continue to kill and injure tens to hundreds of thousands of people, inflicting lasting societal and economic disasters. Earthquake early warning (EEW) provides seconds to minutes of warning, allowing people to move to safe zones and automated slowdown and shutdown of transit and other machinery. The handful of EEW systems operating around the world use traditional seismic and geodetic networks that exist only in a few nations. Smartphones are much more prevalent than traditional networks and contain accelerometers that can also be used to detect earthquakes. We report on the development of a new type of seismic system, MyShake, that harnesses personal/private smartphone sensors to collect data and analyze earthquakes. We show that smartphones can record magnitude 5 earthquakes at distances of 10 km or less and develop an on-phone detection capability to separate earthquakes from other everyday shakes. Our proof-of-concept system then collects earthquake data at a central site where a network detection algorithm confirms that an earthquake is under way and estimates the location and magnitude in real time. This information can then be used to issue an alert of forthcoming ground shaking. MyShake could be used to enhance EEW in regions with traditional networks and could provide the only EEW capability in regions without. In addition, the seismic waveforms recorded could be used to deliver rapid microseism maps, study impacts on buildings, and possibly image shallow earth structure and earthquake rupture kinematics.

  13. Evaluation and optimization of seismic networks and algorithms for earthquake early warning – the case of Istanbul (Turkey)

    OpenAIRE

    Oth, Adrien; Böse, Maren; Wenzel, Friedemann; Köhler, Nina; Erdik, Mustafa

    2010-01-01

    Earthquake early warning (EEW) systems should provide reliable warnings as quickly as possible with a minimum number of false and missed alarms. Using the example of the megacity Istanbul and based on a set of simulated scenario earthquakes, we present a novel approach for evaluating and optimizing seismic networks for EEW, in particular in regions with a scarce number of instrumentally recorded earthquakes. We show that, while the current station locations of the existing Istanbul EEW system...

  14. The Tropical Ecology, Assessment and Monitoring (TEAM) Network: An early warning system for tropical rain forests.

    Science.gov (United States)

    Rovero, Francesco; Ahumada, Jorge

    2017-01-01

    While there are well established early warning systems for a number of natural phenomena (e.g. earthquakes, catastrophic fires, tsunamis), we do not have an early warning system for biodiversity. Yet, we are losing species at an unprecedented rate, and this especially occurs in tropical rainforests, the biologically richest but most eroded biome on earth. Unfortunately, there is a chronic gap in standardized and pan-tropical data in tropical forests, affecting our capacity to monitor changes and anticipate future scenarios. The Tropical Ecology, Assessment and Monitoring (TEAM) Network was established to contribute addressing this issue, as it generates real time data to monitor long-term trends in tropical biodiversity and guide conservation practice. We present the Network and focus primarily on the Terrestrial Vertebrates protocol, that uses systematic camera trapping to detect forest mammals and birds, and secondarily on the Zone of Interaction protocol, that measures changes in the anthroposphere around the core monitoring area. With over 3 million images so far recorded, and managed using advanced information technology, TEAM has created the most important data set on tropical forest mammals globally. We provide examples of site-specific and global analyses that, combined with data on anthropogenic disturbance collected in the larger ecosystem where monitoring sites are, allowed us to understand the drivers of changes of target species and communities in space and time. We discuss the potential of this system as a candidate model towards setting up an early warning system that can effectively anticipate changes in coupled human-natural system, trigger management actions, and hence decrease the gap between research and management responses. In turn, TEAM produces robust biodiversity indicators that meet the requirements set by global policies such as the Aichi Biodiversity Targets. Standardization in data collection and public sharing of data in near real time

  15. TELERAD: the radiological surveillance network and early warning system in Belgium

    International Nuclear Information System (INIS)

    Sonck, Michel; Desmedt, Michel; Claes, Jurgen; Sombre, Lionel; Vandecasteele, Christian

    2008-01-01

    The TELERAD network is primarily a measurement and early warning network. Its 212 stations constantly measure the overall radioactivity of the air, atmospheric dusts and river waters (Meuse, Sambre and Molse Nete) on the Belgian territory. These stations are linked to a centralised system that is automatically alerted in case an abnormal rise in radioactivity level is detected. The TELERAD network is supplemented by meteorological masts (10 meters and 30 meters height), which measure wind speed and direction, and by a set of mobile stations that can be deployed at any location on the territory. In the event of a nuclear accident, the discharge of radioactive substances into the atmosphere could lead to the launch of the nuclear emergency plan foreseen by the authorities. The TELERAD network would then play a crucial role in assessing the gravity of the accident, supporting decision making, optimising interventions and measures to be implemented to avert the effects of the accident and, subsequently, to remedy them, as well as informing the population on an ongoing basis. In normal circumstances, the TELERAD network measures the ambient dose rate due to external gamma radiation. This dose rate is essentially linked to the level of natural radioactivity. (author)

  16. 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

  17. Gender, Social Networks, and Stroke Preparedness in the Stroke Warning Information and Faster Treatment Study.

    Science.gov (United States)

    Madsen, Tracy E; Roberts, Eric T; Kuczynski, Heather; Goldmann, Emily; Parikh, Nina S; Boden-Albala, Bernadette

    2017-12-01

    The study aimed to investigate the effect of gender on the association between social networks and stroke preparedness as measured by emergency department (ED) arrival within 3 hours of symptom onset. As part of the Stroke Warning Information and Faster Treatment study, baseline data on demographics, social networks, and time to ED arrival were collected from 1193 prospectively enrolled stroke/transient ischemic attack (TIA) patients at Columbia University Medical Center. Logistic regression was conducted with arrival to the ED ≤3 hours as the outcome, social network characteristics as explanatory variables, and gender as a potential effect modifier. Men who lived alone or were divorced were significantly less likely to arrive ≤3 hours than men who lived with a spouse (adjusted odds ratio [aOR]: .31, 95% confidence interval [CI]: .15-0.64) or were married (aOR: .45, 95% CI: .23-0.86). Among women, those who lived alone or were divorced had similar odds of arriving ≤3 hours compared with those who lived with a spouse (aOR: 1.25, 95% CI: .63-2.49) or were married (aOR: .73, 95% CI: .4-1.35). In patients with stroke/TIA, living with someone or being married improved time to arrival in men only. Behavioral interventions to improve stroke preparedness should incorporate gender differences in how social networks affect arrival times. Copyright © 2017 National Stroke Association. Published by Elsevier Inc. All rights reserved.

  18. Real-Time Surveillance in Emergencies Using the Early Warning Alert and Response Network.

    Science.gov (United States)

    Cordes, Kristina M; Cookson, Susan T; Boyd, Andrew T; Hardy, Colleen; Malik, Mamunur Rahman; Mala, Peter; El Tahir, Khalid; Everard, Marthe; Jasiem, Mohamad; Husain, Farah

    2017-11-01

    Humanitarian emergencies often result in population displacement and increase the risk for transmission of communicable diseases. To address the increased risk for outbreaks during humanitarian emergencies, the World Health Organization developed the Early Warning Alert and Response Network (EWARN) for early detection of epidemic-prone diseases. The US Centers for Disease Control and Prevention has worked with the World Health Organization, ministries of health, and other partners to support EWARN through the implementation and evaluation of these systems and the development of standardized guidance. Although protocols have been developed for the implementation and evaluation of EWARN, a need persists for standardized training and additional guidance on supporting these systems remotely when access to affected areas is restricted. Continued collaboration between partners and the Centers for Disease Control and Prevention for surveillance during emergencies is necessary to strengthen capacity and support global health security.

  19. Real-time decision support systems: the famine early warning system network

    Science.gov (United States)

    Funk, Christopher C.; Verdin, James P.

    2010-01-01

    A multi-institutional partnership, the US Agency for International Development’s Famine Early Warning System Network (FEWS NET) provides routine monitoring of climatic, agricultural, market, and socioeconomic conditions in over 20 countries. FEWS NET supports and informs disaster relief decisions that impact millions of people and involve billions of dollars. In this chapter, we focus on some of FEWS NET’s hydrologic monitoring tools, with a specific emphasis on combining “low frequency” and “high frequency” assessment tools. Low frequency assessment tools, tied to water and food balance estimates, enable us to evaluate and map long-term tendencies in food security. High frequency assessments are supported by agrohydrologic models driven by satellite rainfall estimates, such as the Water Requirement Satisfaction Index (WRSI). Focusing on eastern Africa, we suggest that both these high and low frequency approaches are necessary to capture the interaction of slow variations in vulnerability and the relatively rapid onset of climatic shocks.

  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. 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. Intelligent Autofeedback and Safety Early-Warning for Underground Cavern Engineering during Construction Based on BP Neural Network and FEM

    Directory of Open Access Journals (Sweden)

    Lei Xu

    2015-01-01

    Full Text Available The low efficiency of feedback analysis is one of the main shortcomings in the construction of underground cavern engineering. With this in mind, a method of intelligent autofeedback and safety early-warning for underground cavern is proposed based on BP neural network and FEM. The training sample points are chosen by using uniform test design method, and the autogeneration of FEM calculation file for ABAQUS is realized by using the technique of file partition, information grouping, and orderly numbering. Then, intelligent autoinversion of mechanics parameters is realized, and the automatic connection of parameter inversion, subsequent prediction, and safety early-warning is achieved. The software of intelligent autofeedback and safety early-warning for underground cavern engineering during construction is developed. Finally, the applicability of the proposed method and the developed software is verified through an application example of underground cavern of a pumped-storage power station located in Southwest China.

  3. 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.

  4. Caltech/USGS Southern California Seismic Network (SCSN): Infrastructure upgrade to support Earthquake Early Warning (EEW)

    Science.gov (United States)

    Bhadha, R. J.; Hauksson, E.; Boese, M.; Felizardo, C.; Thomas, V. I.; Yu, E.; Given, D. D.; Heaton, T. H.; Hudnut, K. W.

    2013-12-01

    The SCSN is the modern digital ground motion seismic network in Southern California and performs the following tasks: 1) Operates remote seismic stations and the central data processing systems in Pasadena; 2) Generates and reports real-time products including location, magnitude, ShakeMap, aftershock probabilities and others; 3) Responds to FEMA, CalOES, media, and public inquiries about earthquakes; 4) Manages the production, archival, and distribution of waveforms, phase picks, and other data at the SCEDC; 5) Contributes to development and implementation of the demonstration EEW system called CISN ShakeAlert. Initially, the ShakeAlert project was funded through the US Geological Survey (USGS) and in early 2012, the Gordon and Betty Moore Foundation provided three years of new funding for EEW research and development for the US west coast. Recently, we have also received some Urban Areas Security Initiative (UASI) funding to enhance the EEW capabilities for the local UASI region by making our system overall faster, more reliable and redundant than the existing system. The additional and upgraded stations will be capable of decreasing latency and ensuring data delivery by using more reliable and redundant telemetry pathways. Overall, this will enhance the reliability of the earthquake early warnings by providing denser station coverage and more resilient data centers than before. * Seismic Datalogger upgrade: replaces existing dataloggers with modern equipment capable of sending one-second uncompressed packets and utilizing redundant Ethernet telemetry. * GPS upgrade: replaces the existing GPS receivers and antennas, especially at "zipper array" sites near the major faults, with receivers that perform on-board precise point positioning to calculate position and velocity in real time and stream continuous data for use in EEW calculations. * New co-located seismic/GPS stations: increases station density and reduces early warning delays that are incurred by travel

  5. A complex network theory approach for optimizing contamination warning sensor location in water distribution networks

    OpenAIRE

    Nazempour, Rezvan; Monfared, Mohammad Ali Saniee; Zio, Enrico

    2016-01-01

    Drinking water for human health and well-being is crucial. Accidental and intentional water contamination can pose great danger to consumers. Optimal design of a system that can quickly detect the presence of contamination in a water distribution network is very challenging for technical and operational reasons. However, on the one hand improvement in chemical and biological sensor technology has created the possibility of designing efficient contamination detection systems. On the other hand...

  6. An international intercomparison of national network systems used to provide early warning of a nuclear accident having transboundary implications

    DEFF Research Database (Denmark)

    Thompson, I.M.G.; Andersen, C.E.; Bøtter-Jensen, L.

    2000-01-01

    of these detectors are used. During an accident the data produced by such systems will be exchanged between countries within the European Communities, (EC) and as required by the IAEA's Early Warning Convention between the rest of the world and Europe. It is therefore important to ensure that such data should......Since the Chernobyl accident many countries now operate large national networks of radiation detectors that continuously monitor radiation levels in order to give early warning of nuclear accidents having transboundary implications. The networks are used to provide data to assist in determining...... the action that should be implemented in that country. However, each country has its own unique system of detection. These are based either on Geiger-Muller counters, high pressure ionisation chambers, scintillation detectors, proportional counters, passive detectors or spectrometry systems; or mixtures...

  7. An international intercomparison of national network systems used to provide early warning of a nuclear accident having transboundary implications

    DEFF Research Database (Denmark)

    Thompson, I.M.G.; Andersen, C.E.; Bøtter-Jensen, L.

    2000-01-01

    Since the Chernobyl accident many countries now operate large national networks of radiation detectors that continuously monitor radiation levels in order to give early warning of nuclear accidents having transboundary implications. The networks are used to provide data to assist in determining...... of these detectors are used. During an accident the data produced by such systems will be exchanged between countries within the European Communities, (EC) and as required by the IAEA's Early Warning Convention between the rest of the world and Europe. It is therefore important to ensure that such data should...... be harmonised so that it can be accurately interpreted by other countries and by international organisations. To assist with such harmonisation an intercomparison was held during May/June 1999 at the Riso Natural Environmental Radiation Measurement Station in Denmark and at the PTB underground laboratory...

  8. Intelligent Autofeedback and Safety Early-Warning for Underground Cavern Engineering during Construction Based on BP Neural Network and FEM

    OpenAIRE

    Xu, Lei; Zhang, Taijun; Ren, Qingwen

    2015-01-01

    The low efficiency of feedback analysis is one of the main shortcomings in the construction of underground cavern engineering. With this in mind, a method of intelligent autofeedback and safety early-warning for underground cavern is proposed based on BP neural network and FEM. The training sample points are chosen by using uniform test design method, and the autogeneration of FEM calculation file for ABAQUS is realized by using the technique of file partition, information grouping, and order...

  9. Physical and Radiological Characterisation of Measuring Sites Within The Croatian Gamma Dose Rate Early Warning Network

    International Nuclear Information System (INIS)

    Cindro, M.; Stepisnik, M.; Pinezic, D.; Sinka, D.; Skanata, D.

    2016-01-01

    The work described in this paper was done within the EU funded project 'Upgrading the systems for the on- and off-line monitoring of radioactivity in the environment in Croatia in regular and emergency situations'. The existing system of early warning in case of nuclear accident in Croatia (SPUNN), managed by the State Office for Radiological and Nuclear Safety, includes 33 stations for measuring ambient gamma dose rate (GDR). The aim of the project was to determine appropriate correction factors that will allow the results from this network to be used not only for timely warning in case of nuclear accident but also in routine environmental monitoring to determine the background radiation. Additionally, in the case of fresh deposition due to radioactive contamination, the corrected values are better suited to be used as an input for support systems for decision making in the case of emergency (such as RODOS), as well as for international data exchange (EURDEP) or automatic interpolation and mapping of radiological data (INTAMAP). The response of the individual probes to natural or accidental radiation mostly depends on the geometry or topography, surrounding buildings, vegetation (trees) and the type of soil beneath the detector. In the case of measuring the dose rate, objects such as buildings act as a shield against gamma radiation and limit the field of vision of the detector. If we want to have representative values that can be compared with other measuring sites, it is clear that we need to define standard conditions that each location has to meet. This is true not only for the probes within the same network, but can also be applied more broadly, at the international level, since data exchange mechanisms for GDR data already exist across Europe. The response of each probe is not determined only by the physical features, it is also important to understand the radiological characteristics of the site. Radiological characterization was performed through

  10. Drought monitoring and assessment: Remote sensing and modeling approaches for the Famine Early Warning Systems Network

    Science.gov (United States)

    Senay, Gabriel; Velpuri, Naga Manohar; Bohms, Stefanie; Budde, Michael; Young, Claudia; Rowland, James; Verdin, James

    2015-01-01

    Drought monitoring is an essential component of drought risk management. It is usually carried out using drought indices/indicators that are continuous functions of rainfall and other hydrometeorological variables. This chapter presents a few examples of how remote sensing and hydrologic modeling techniques are being used to generate a suite of drought monitoring indicators at dekadal (10-day), monthly, seasonal, and annual time scales for several selected regions around the world. Satellite-based rainfall estimates are being used to produce drought indicators such as standardized precipitation index, dryness indicators, and start of season analysis. The Normalized Difference Vegetation Index is being used to monitor vegetation condition. Several satellite data products are combined using agrohydrologic models to produce multiple short- and long-term indicators of droughts. All the data sets are being produced and updated in near-real time to provide information about the onset, progression, extent, and intensity of drought conditions. The data and products produced are available for download from the Famine Early Warning Systems Network (FEWS NET) data portal at http://earlywarning.usgs.gov. The availability of timely information and products support the decision-making processes in drought-related hazard assessment, monitoring, and management with the FEWS NET. The drought-hazard monitoring approach perfected by the U.S. Geological Survey for FEWS NET through the integration of satellite data and hydrologic modeling can form the basis for similar decision support systems. Such systems can operationally produce reliable and useful regional information that is relevant for local, district-level decision making.

  11. An Offshore Geophysical Network in the Pacific Northwest for Earthquake and Tsunami Early Warning and Hazard Research

    Science.gov (United States)

    Wilcock, W. S. D.; Schmidt, D. A.; Vidale, J. E.; Harrington, M.; Bodin, P.; Cram, G.; Delaney, J. R.; Gonzalez, F. I.; Kelley, D. S.; LeVeque, R. J.; Manalang, D.; McGuire, C.; Roland, E. C.; Tilley, J.; Vogl, C. J.; Stoermer, M.

    2016-12-01

    The Cascadia subduction zone hosts catastrophic earthquakes every few hundred years. On land, there are extensive geophysical networks available to monitor the subduction zone, but since the locked portion of the plate boundary lies mostly offshore, these networks are ideally complemented by seafloor observations. Such considerations helped motivate the development of scientific cabled observatories that cross the subduction zone at two sites off Vancouver Island and one off central Oregon, but these have a limited spatial footprint along the strike of the subduction zone. The Pacific Northwest Seismic Network is leading a collaborative effort to implement an earthquake early warning system in the Washington and Oregon using data streams from land networks as well as the few existing offshore instruments. For subduction zone earthquakes that initiate offshore, this system will provide a warning. However, the availability of real time offshore instrumentation along the entire subduction zone would improve its reliability and accuracy, add up to 15 s to the warning time, and ensure an early warning for coastal communities near the epicenter. Furthermore, real-time networks of seafloor pressure sensors above the subduction zone would enable monitoring and contribute to accurate predictions of the incoming tsunami. There is also strong scientific motivation for offshore monitoring. We lack a complete knowledge of the plate convergence rate and direction. Measurements of steady deformation and observations of transient processes such as fluid pulsing, microseismic cycles, tremor and slow-slip are necessary for assessing the dimensions of the locked zone and its along-strike segmentation. Long-term monitoring will also provide baseline observations that can be used to detect and evaluate changes in the subduction environment. There are significant engineering challenges to be solved to ensure the system is sufficiently reliable and maintainable. It must provide

  12. Lessons learnt from an international intercomparison of national network systems used to provide early warning of a nuclear accident

    DEFF Research Database (Denmark)

    Saez-Vergara, J.C.; Thompson, I.M.G.; Funck, E.

    2003-01-01

    and at the Underground Laboratory for Dosimetry and Spectrometry (UDO) of the Physikalisch-Technische Bundesanstalt (PTB) in Germany. The network systems are used continuously to monitor radiation levels throughout a country in order to give early warning of nuclear accidents having transboundary implications......As part of the European Research Council's Fourth Framework Programme, the EURADOS Action Group on Monitoring of External Exposures held an intercomparison of national network systems. This took place during May/June 1999 at the Riso Natural Environmental Radiation Measurement Station in Denmark....... The radiation levels measured are used to estimate the radiation risks to people arising from the accident. Seven European countries participated in the intercomparison with detector systems used in their national network systems as well as with detectors being developed for future use. Since different...

  13. 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

    The currently developed and operational Earthquake Early warning, regional systems ground on the assumption of a point-like earthquake source model and 1-D ground motion prediction equations to estimate the earthquake impact. Here we propose a new network-based method which allows for issuing an alert based upon the real-time mapping of the Potential Damage Zone (PDZ), e.g. the epicentral area where the peak ground velocity is expected to exceed the damaging or strong shaking levels with no assumption about the earthquake rupture extent and spatial variability of ground motion. The platform includes the most advanced techniques for a refined estimation of the main source parameters (earthquake location and magnitude) and for an accurate prediction of the expected ground shaking level. The new software platform (QuakeUp) is under development at the Seismological Laboratory (RISSC-Lab) of the Department of Physics at the University of Naples Federico II, in collaboration with the academic spin-off company RISS s.r.l., recently gemmated by the research group. The system processes the 3-component, real-time ground acceleration and velocity data streams at each station. The signal quality is preliminary assessed by checking the signal-to-noise ratio both in acceleration, velocity and displacement and through dedicated filtering algorithms. For stations providing high quality data, the characteristic P-wave period (τ_c) and the P-wave displacement, velocity and acceleration amplitudes (P_d, Pv and P_a) are jointly measured on a progressively expanded P-wave time window. The evolutionary measurements of the early P-wave amplitude and characteristic period at stations around the source allow to predict the geometry and extent of PDZ, but also of the lower shaking intensity regions at larger epicentral distances. This is done by correlating the measured P-wave amplitude with the Peak Ground Velocity (PGV) and Instrumental Intensity (I_MM) and by mapping the measured and

  14. Lessons learnt from an international intercomparison of national network systems used to provide early warning of a nuclear accident

    DEFF Research Database (Denmark)

    Saez-Vergara, J.C.; Thompson, I.M.G.; Funck, E.

    2003-01-01

    and at the Underground Laboratory for Dosimetry and Spectrometry (UDO) of the Physikalisch-Technische Bundesanstalt (PTB) in Germany. The network systems are used continuously to monitor radiation levels throughout a country in order to give early warning of nuclear accidents having transboundary implications....... The radiation levels measured are used to estimate the radiation risks to people arising from the accident. Seven European countries participated in the intercomparison with detector systems used in their national network systems as well as with detectors being developed for future use. Since different...... radiation quantities were measured by the systems (namely exposure, air kerma and ambient dose equivalent), the initial analysis of the intercomparison results was made in terms of the quantity air kerma rate. This report completes the analysis of the results and these are given in terms of air kerma rate...

  15. National Environmental Radiation Warning And Monitoring Network And Proposed Radiation Monitoring Programme For The 1st Nuclear Power Plant Ninth Thuan

    International Nuclear Information System (INIS)

    Vuong Thu Bac

    2011-01-01

    National Environmental Radiation Warning and Monitoring Network has been gradually setting up based on some of legislative documents which have been issued in recent years. Studies and surveys to build an environmental radiation monitoring program for nuclear power plant (NPP) have also been implemented. This paper aims to introduce National Environmental Radiation Warning and Monitoring Network in Vietnam which has been approved by the government, the draft program for environmental radiation monitoring Ninh Thuan NPP and some initial results of research about environmental radiation in the planning area for building first NPP in Vietnam. (author)

  16. Lessons learnt from an international intercomparison of national network systems used to provide early warning of a nuclear accident

    International Nuclear Information System (INIS)

    As part of the European Research Council's Fourth Framework Programme, the EURADOS Action Group on Monitoring of External Exposures held an intercomparison of national network systems. This took place during May/June 1999 at the Riso Natural Environmental Radiation Measurement Station in Denmark and at the Underground Laboratory for Dosimetry and Spectrometry of the Physikalisch-Technische Bundesanstalt in Germany. The network systems are used continuously to monitor radiation levels throughout a country in order to give early warning of nuclear accidents having transboundary implications. The radiation levels measured are used to estimate the radiation risks to people arising from the accident. Seven European countries participated in the intercomparison with detector systems used in their national network systems as well as with detectors being developed for future use. Since different radiation quantities were measured by the systems (namely exposure, air kerma and ambient dose equivalent), the initial analysis of the intercomparison results was made in terms of the quantity air kerma rate. This report completes the analysis of the results and these are given in terms of air kerma rate in order to be consistent with the preliminary report. In addition, in some cases the results are also given in terms of the quantity measured by each national network system. The experience gained from this intercomparison is used to help organise a follow-up intercomparison to be held at the PTB Braunschweig in September 2002 and in which a further seven or eight countries from Europe will participate. (author)

  17. Group on Earth Observations (GEO) Global Drought Monitor Portal: Adding Capabilities for Forecasting Hydrological Extremes and Early Warning Networking

    Science.gov (United States)

    Pozzi, W.; de Roo, A.; Vogt, J.; Lawford, R. G.; Pappenberger, F.; Heim, R. R.; Stefanski, R.

    2011-12-01

    for Africa (DEWFORA) to strengthen preparedness and adaptation; 3) setting up an Early Warning System network for drought ( to be developed through World Meteorological Organization WMO); and 4) adding global remote sensing drought monitoring capabilities (soil moisture anomalies). Flooding represents positive precipitation anomalies, whereas drought represents negative precipitation anomalies. The JRC combined Hydrologic Extremes platform will include multiple models and tools, such as; 1) JRC Global Flood Detection System and Global Flood Early Warning System; 2) the WMO Flash Flood Guidance system; 3) the Dartmouth Flood Observatory; 4) a suite of monitored and forecasted drought and water scarcity indicators through the various drought observatories accessible through the GEO Global Drought Monitor Portal. The GEO Global Drought and Flooding systems represent the "applications-side" of water activities within the GEO Work Plan and are supported by the "Research and Development (R&D) side" of water activities within the new 2012-2015 GEO Work Plan.

  18. Earth Observations for Early Detection of Agricultural Drought: Contributions of the Famine Early Warning Systems Network (FEWS NET)

    Science.gov (United States)

    Budde, M. E.; Funk, C.; Husak, G. J.; Peterson, P.; Rowland, J.; Senay, G. B.; Verdin, J. P.

    2016-12-01

    The U.S. Geological Survey (USGS) has a long history of supporting the use of Earth observation data for food security monitoring through its role as an implementing partner of the Famine Early Warning Systems Network (FEWS NET) program. The use of remote sensing and crop modeling to address food security threats in the form of drought, floods, pests, and changing climatic regimes has been a core activity in monitoring FEWS NET countries. In recent years, it has become a requirement that FEWS NET apply monitoring and modeling frameworks at global scales to assess emerging crises in regions that FEWS NET does not traditionally monitor. USGS FEWS NET, in collaboration with the University of California, Santa Barbara, has developed a number of new global applications of satellite observations, derived products, and efficient tools for visualization and analyses to address these requirements. (1) A 35-year quasi-global (+/- 50 degrees latitude) time series of gridded rainfall estimates, the Climate Hazards Infrared Precipitation with Stations (CHIRPS) dataset, based on infrared satellite imagery and station observations. Data are available as 5-day (pentadal) accumulations at 0.05 degree spatial resolution. (2) Global actual evapotranspiration data based on application of the Simplified Surface Energy Balance (SSEB) model using 10-day MODIS Land Surface Temperature composites at 1-km resolution. (3) Production of global expedited MODIS (eMODIS) 10-day NDVI composites updated every 5 days. (4) Development of an updated Early Warning eXplorer (EWX) tool for data visualization, analysis, and sharing. (5) Creation of stand-alone tools for enhancement of gridded rainfall data and trend analyses. (6) Establishment of an agro-climatology analysis tool and knowledge base for more than 90 countries of interest to FEWS NET. In addition to these new products and tools, FEWS NET has partnered with the GEOGLAM community to develop a Crop Monitor for Early Warning (CM4EW) which

  19. A Multi-User Game-Theoretical Multipath Routing Protocol to Send Video-Warning Messages over Mobile Ad Hoc Networks

    Science.gov (United States)

    Mezher, Ahmad Mohamad; Igartua, Mónica Aguilar; de la Cruz Llopis, Luis J.; Segarra, Esteve Pallarès; Tripp-Barba, Carolina; Urquiza-Aguiar, Luis; Forné, Jordi; Gargallo, Emilio Sanvicente

    2015-01-01

    The prevention of accidents is one of the most important goals of ad hoc networks in smart cities. When an accident happens, dynamic sensors (e.g., citizens with smart phones or tablets, smart vehicles and buses, etc.) could shoot a video clip of the accident and send it through the ad hoc network. With a video message, the level of seriousness of the accident could be much better evaluated by the authorities (e.g., health care units, police and ambulance drivers) rather than with just a simple text message. Besides, other citizens would be rapidly aware of the incident. In this way, smart dynamic sensors could participate in reporting a situation in the city using the ad hoc network so it would be possible to have a quick reaction warning citizens and emergency units. The deployment of an efficient routing protocol to manage video-warning messages in mobile Ad hoc Networks (MANETs) has important benefits by allowing a fast warning of the incident, which potentially can save lives. To contribute with this goal, we propose a multipath routing protocol to provide video-warning messages in MANETs using a novel game-theoretical approach. As a base for our work, we start from our previous work, where a 2-players game-theoretical routing protocol was proposed to provide video-streaming services over MANETs. In this article, we further generalize the analysis made for a general number of N players in the MANET. Simulations have been carried out to show the benefits of our proposal, taking into account the mobility of the nodes and the presence of interfering traffic.Finally, we also have tested our approach in a vehicular ad hoc network as an incipient start point to develop a novel proposal specifically designed for VANETs. PMID:25897496

  20. A Multi-User Game-Theoretical Multipath Routing Protocol to Send Video-Warning Messages over Mobile Ad Hoc Networks

    Directory of Open Access Journals (Sweden)

    Ahmad Mohamad Mezher

    2015-04-01

    Full Text Available The prevention of accidents is one of the most important goals of ad hoc networks in smart cities. When an accident happens, dynamic sensors (e.g., citizens with smart phones or tablets, smart vehicles and buses, etc. could shoot a video clip of the accident and send it through the ad hoc network. With a video message, the level of seriousness of the accident could be much better evaluated by the authorities (e.g., health care units, police and ambulance drivers rather than with just a simple text message. Besides, other citizens would be rapidly aware of the incident. In this way, smart dynamic sensors could participate in reporting a situation in the city using the ad hoc network so it would be possible to have a quick reaction warning citizens and emergency units. The deployment of an efficient routing protocol to manage video-warning messages in mobile Ad hoc Networks (MANETs has important benefits by allowing a fast warning of the incident, which potentially can save lives. To contribute with this goal, we propose a multipath routing protocol to provide video-warning messages in MANETs using a novel game-theoretical approach. As a base for our work, we start from our previous work, where a 2-players game-theoretical routing protocol was proposed to provide video-streaming services over MANETs. In this article, we further generalize the analysis made for a general number of N players in the MANET. Simulations have been carried out to show the benefits of our proposal, taking into account the mobility of the nodes and the presence of interfering traffic. Finally, we also have tested our approach in a vehicular ad hoc network as an incipient start point to develop a novel proposal specifically designed for VANETs.

  1. A Multi-User Game-Theoretical Multipath Routing Protocol to Send Video-Warning Messages over Mobile Ad Hoc Networks.

    Science.gov (United States)

    Mezher, Ahmad Mohamad; Igartua, Mónica Aguilar; de la Cruz Llopis, Luis J; Pallarès Segarra, Esteve; Tripp-Barba, Carolina; Urquiza-Aguiar, Luis; Forné, Jordi; Sanvicente Gargallo, Emilio

    2015-04-17

    The prevention of accidents is one of the most important goals of ad hoc networks in smart cities. When an accident happens, dynamic sensors (e.g., citizens with smart phones or tablets, smart vehicles and buses, etc.) could shoot a video clip of the accident and send it through the ad hoc network. With a video message, the level of seriousness of the accident could be much better evaluated by the authorities (e.g., health care units, police and ambulance drivers) rather than with just a simple text message. Besides, other citizens would be rapidly aware of the incident. In this way, smart dynamic sensors could participate in reporting a situation in the city using the ad hoc network so it would be possible to have a quick reaction warning citizens and emergency units. The deployment of an efficient routing protocol to manage video-warning messages in mobile Ad hoc Networks (MANETs) has important benefits by allowing a fast warning of the incident, which potentially can save lives. To contribute with this goal, we propose a multipath routing protocol to provide video-warning messages in MANETs using a novel game-theoretical approach. As a base for our work, we start from our previous work, where a 2-players game-theoretical routing protocol was proposed to provide video-streaming services over MANETs. In this article, we further generalize the analysis made for a general number of N players in the MANET. Simulations have been carried out to show the benefits of our proposal, taking into account the mobility of the nodes and the presence of interfering traffic. Finally, we also have tested our approach in a vehicular ad hoc network as an incipient start point to develop a novel proposal specifically designed for VANETs.

  2. European experience on air and water pollution control: monitoring network and warning station

    Energy Technology Data Exchange (ETDEWEB)

    Aflalo, Sergio S. [Groupe Environnement S.A., Poissy (France)

    1993-12-31

    After a review of the energy consumption and pollutants emitted in the European Community, especially those concerning the `green house effect`, the author proceeded a summary of the actual legislation and Europeans directives, and also, the Best Available Technology for reducing air pollution is discussed. Original Air Quality monitoring networks performed by Environnement SA are described including measurements obtained around Paris and other areas of France. 7 refs., 11 figs.

  3. On the Use of Low-Cost Radar Networks for Collision Warning Systems Aboard Dumpers

    Directory of Open Access Journals (Sweden)

    José-Tomás González-Partida

    2014-02-01

    Full Text Available The use of dumpers is one of the main causes of accidents in construction sites, many of them with fatal consequences. These kinds of work machines have many blind angles that complicate the driving task due to their large size and volume. To guarantee safety conditions is necessary to use automatic aid systems that can detect and locate the different objects and people in a work area. One promising solution is a radar network based on low-cost radar transceivers aboard the dumper. The complete system is specified to operate with a very low false alarm rate to avoid unnecessary stops of the dumper that reduce its productivity. The main sources of false alarm are the heavy ground clutter, and the interferences between the radars of the network. This article analyses the clutter for LFM signaling and proposes the use of Offset Linear Frequency Modulated Continuous Wave (OLFM-CW as radar signal. This kind of waveform can be optimized to reject clutter and self-interferences. Jointly, a data fusion chain could be used to reduce the false alarm rate of the complete radar network. A real experiment is shown to demonstrate the feasibility of the proposed system.

  4. The Global Public Health Intelligence Network and early warning outbreak detection: a Canadian contribution to global public health.

    Science.gov (United States)

    Mykhalovskiy, Eric; Weir, Lorna

    2006-01-01

    The recent SARS epidemic has renewed widespread concerns about the global transmission of infectious diseases. In this commentary, we explore novel approaches to global infectious disease surveillance through a focus on an important Canadian contribution to the area--the Global Public Health Intelligence Network (GPHIN). GPHIN is a cutting-edge initiative that draws on the capacity of the Internet and newly available 24/7 global news coverage of health events to create a unique form of early warning outbreak detection. This commentary outlines the operation and development of GPHIN and compares it to ProMED-mail, another Internet-based approach to global health surveillance. We argue that GPHIN has created an important shift in the relationship of public health and news information. By exiting the pyramid of official reporting, GPHIN has created a new monitoring technique that has disrupted national boundaries of outbreak notification, while creating new possibilities for global outbreak response. By incorporating news within the emerging apparatus of global infectious disease surveillance, GPHIN has effectively responded to the global media's challenge to official country reporting of outbreak and enhanced the effectiveness and credibility of international public health.

  5. Emergency Department Visits Involving Misuse and Abuse of the Antipsychotic Quetiapine: Results from the Drug Abuse Warning Network (DAWN

    Directory of Open Access Journals (Sweden)

    Margaret E. Mattson

    2015-01-01

    Full Text Available Case reports in medical literature suggest that the atypical antipsychotic quetiapine, a medication not previously considered to have abuse potential, is now being subject to misuse and abuse (MUA; ie, taken when not prescribed for them or used in a way other than instructed by their health professional. Here we present systematic, nationally representative data from the 2005 to 2011 Drug Abuse Warning Network (DAWN for prevalence of emergency department (ED visits among the U.S. general population involving quetiapine and related to MUA, suicide attempts, and adverse reactions. Nationally, quetiapine-related ED visits increased 90% between 2005 and 2011, from 35,581 ED visits to 67,497. DAWN data indicate that when used without medical supervision for recreational/self-medication purposes, quetiapine poses health risks for its users, especially among polydrug users and women. These findings suggest that the medical and public health communities should increase vigilance concerning this drug and its potential for MUA.

  6. Real World Example of a Hazard Warning System based on a Network of Autonomous High Rate, Low Latency GPS Sensors

    Science.gov (United States)

    Squibb, M.; Bock, Y.; Crowell, B.; Fang, P.; Jamason, P.; Prawirodirdjo, L.

    2008-12-01

    The California Real Time Network consists of 80 autonomous geodetic-quality continuous GPS stations distributed at nominal 20 km spacing throughout Southern California, with plans to expand statewide with a spacing of 80 km. The GPS receivers collect data at a sampling rate of 1 Hz, with capability up to 20 Hz. The data are streamed to a server at Scripps over dedicated spread spectrum radios and existing microwave communication links (such as provided by UCSD's HPWREN project), with a latency of less than 1 s. We have also experimented with streaming data over cellular modems using commercial service providers. CRTN provides an operational test bed for an early warning system (EWS) for geological (earthquake, tsunami, volcano, landslide) and meteorological (flood) hazards. At the server end, we use a GridSphere and JavaServer Pages-based web portal environment with components developed under several NASA-funded projects by Scripps and JPL, enabling users to select, view, manipulate and download GPS data products. An earthquake EWS makes use of and extends some of the components of this web portal. CRTN has constructed portlets to display: 1) strain calculated from the changes in displacements of the GPS stations within a Delaunay triangulation mesh; 2) archived animations of strain maps of seismic events, both actual and simulated; 3) time series of the displacements at a given site; and 4) rapid earthquake models including moment magnitude and location. Another component of the EWS will generate messages to notify registered First Responders upon the detection of seismic events using a lightweight component of the Geophysical Resource Web Services (GRWS) framework developed as part of several NASA projects. Strain and displacement data will be available from within the portal so that users may import data into the portal's web service-based configurable filters and models. We discuss the merits of various components of our sensor network and issues that have

  7. Geometry of river networks. III. Characterization of component connectivity

    International Nuclear Information System (INIS)

    Dodds, Peter Sheridan; Rothman, Daniel H.

    2001-01-01

    Essential to understanding the overall structure of river networks is a knowledge of their detailed architecture. Here we explore the presence of randomness in river network structure and the details of its consequences. We first show that an averaged view of network architecture is provided by a proposed self-similarity statement about the scaling of drainage density, a local measure of stream concentration. This scaling of drainage density is shown to imply Tokunaga's law, a description of the scaling of side branch abundance along a given stream, as well as a scaling law for stream lengths. We then consider fluctuations in drainage density and consequently the numbers of side branches. Data are analyzed for the Mississippi River basin and a model of random directed networks. Numbers of side streams are found to follow exponential distributions, as are intertributary distances along streams. Finally, we derive a joint variation of side stream abundance with stream length, affording a full description of fluctuations in network structure. Fluctuations in side stream numbers are shown to be a direct result of fluctuations in stream lengths. This is the last paper in a series of three on the geometry of river networks

  8. Feasibility study of a nation-wide Early Warning System: the application of the EEW software PRESTo on the Italian Strong Motion Network (RAN)

    Science.gov (United States)

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

    2014-05-01

    The past two decades have witnessed a huge progress in the development, implementation and testing of Earthquakes Early Warning Systems (EEWS) worldwide, as the result of a joint effort of the seismological and earthquake engineering communities to set up robust and efficient methodologies for the real-time seismic risk mitigation. The leading experience of the operational early warning system implemented by the Japan Meteorological Agency showed the effectiveness of a combined onsite and network-based approach to rapidly broadcast the rapid warning after a potential damaging earthquake. At the nation-wide scale, the Japanese system makes use of real-time data streamed by the extremely dense accelerograph array (about 1000 seismic instruments) deployed across Japan. With more than 750 accelerometric stations installed over all the active seismic zones, target cities and strategic infrastructures, Italy has the potential for a nation-wide early warning system, although the communication network and data sharing must be expanded and improved. A significant number of these stations are nodes of the RAN (Italian Accelerometric Network) managed by the Italian national emergency management department (Dipartimento della Protezione Civile, DPC), whose data are used for emergency response services. In the framework of the REAKT-Strategies and tools for Real Time Earthquake RisK ReducTion FP7 European project, the AMRA-RISSCLab group is engaged in a feasibility study on the implementation of the EEW software PRESTo earthquake early warning platforms on the Italian accelerometric network (RAN) PRESTo (PRobabilistic and Evolutionary early warning SysTem) is a highly configurable and easily portable platform for Earthquake Early Warning. The system processes the live accelerometric streams from the stations of a seismic network to promptly provide probabilistic and evolutionary estimates of location and magnitude of detected earthquakes while they are occurring, as well as

  9. Famine Early Warning Systems Network (FEWS NET) Agro-climatology Analysis Tools and Knowledge Base Products for Food Security Applications

    Science.gov (United States)

    Budde, M. E.; Rowland, J.; Anthony, M.; Palka, S.; Martinez, J.; Hussain, R.

    2017-12-01

    The U.S. Geological Survey (USGS) supports the use of Earth observation data for food security monitoring through its role as an implementing partner of the Famine Early Warning Systems Network (FEWS NET). The USGS Earth Resources Observation and Science (EROS) Center has developed tools designed to aid food security analysts in developing assumptions of agro-climatological outcomes. There are four primary steps to developing agro-climatology assumptions; including: 1) understanding the climatology, 2) evaluating current climate modes, 3) interpretation of forecast information, and 4) incorporation of monitoring data. Analysts routinely forecast outcomes well in advance of the growing season, which relies on knowledge of climatology. A few months prior to the growing season, analysts can assess large-scale climate modes that might influence seasonal outcomes. Within two months of the growing season, analysts can evaluate seasonal forecast information as indicators. Once the growing season begins, monitoring data, based on remote sensing and field information, can characterize the start of season and remain integral monitoring tools throughout the duration of the season. Each subsequent step in the process can lead to modifications of the original climatology assumption. To support such analyses, we have created an agro-climatology analysis tool that characterizes each step in the assumption building process. Satellite-based rainfall and normalized difference vegetation index (NDVI)-based products support both the climatology and monitoring steps, sea-surface temperature data and knowledge of the global climate system inform the climate modes, and precipitation forecasts at multiple scales support the interpretation of forecast information. Organizing these data for a user-specified area provides a valuable tool for food security analysts to better formulate agro-climatology assumptions that feed into food security assessments. We have also developed a knowledge

  10. The second EURADOS intercomparison of national network systems used to provide early warning of a nuclear accident

    International Nuclear Information System (INIS)

    Saez-Vergara, J. C.; Thompson, I. M. G.; Gurriaran, R.; Dombrowski, H.; Funck, E.; Neumaier, S.

    2007-01-01

    In 1999 and 2002, the EURADOS Working Group on Environmental Monitoring organised two European intercomparison exercises of national network systems used to provide early warning in case of a nuclear accident. In total, 12 European countries, represented by more than 40 scientists, participated in these two intercomparisons with more than 35 different dose rate detectors. In addition, an in situ gamma spectrometry intercomparison was performed by a group of European scientists during the 2002 exercise. Results of these spectrometry measurements will be reported elsewhere. This report summarises the results of the second intercomparison, performed in 2002, at the environmental dosimetry facilities of the Physikalisch-Technische Bundesanstalt (PTB) in Germany. The unique combination of the ultra-low background Underground Laboratory (UDO) and two free-field sites (a floating platform on a lake showing an almost pure cosmic radiation field and a free-field gamma ray irradiation facility) provide the particular opportunity to precisely quantify the inherent background of the detectors and to calibrate them almost free of any background and traceable to PTB's primary standards. In addition, the intercomparison comprised investigations on the energy and dose rate dependence of the detectors' response to gamma radiation as well as on the response to cosmic radiation. Finally, the sensitivity of the detector systems to small dose rate variations, similar to that caused by a passing overhead radioactive plume, was studied under realistic free-field conditions. Following the Council Directive 96/29/EURATOM, the participants of the 2002 intercomparison were asked to report their results in terms of the operational quantity ambient dose equivalent, H*(10). Although the verification of the individual calibrations showed smaller discrepancies than those in the 1999 intercomparison, in a few cases, these discrepancies would be still unacceptably high in the case of a real

  11. Famine Early Warning Systems Network (FEWS NET) Contributions to Strengthening Resilience and Sustainability for the East African Community

    Science.gov (United States)

    Budde, M. E.; Galu, G.; Funk, C. C.; Verdin, J. P.; Rowland, J.

    2014-12-01

    The Planning for Resilience in East Africa through Policy, Adaptation, Research, and Economic Development (PREPARED) is a multi-organizational project aimed at mainstreaming climate-resilient development planning and program implementation into the East African Community (EAC). The Famine Early Warning Systems Network (FEWS NET) has partnered with the PREPARED project to address three key development challenges for the EAC; 1) increasing resiliency to climate change, 2) managing trans-boundary freshwater biodiversity and conservation and 3) improving access to drinking water supply and sanitation services. USGS FEWS NET has been instrumental in the development of gridded climate data sets that are the fundamental building blocks for climate change adaptation studies in the region. Tools such as the Geospatial Climate Tool (GeoCLIM) have been developed to interpolate time-series grids of precipitation and temperature values from station observations and associated satellite imagery, elevation data, and other spatially continuous fields. The GeoCLIM tool also allows the identification of anomalies and assessments of both their frequency of occurrence and directional trends. A major effort has been put forth to build the capacities of local and regional institutions to use GeoCLIM to integrate their station data (which is not typically available to the public) into improved national and regional gridded climate data sets. In addition to the improvements and capacity building activities related to geospatial analysis tools, FEWS NET will assist in two other areas; 1) downscaling of climate change scenarios and 2) vulnerability impact assessments. FEWS NET will provide expertise in statistical downscaling of Global Climate Model output fields and work with regional institutions to assess results of other downscaling methods. Completion of a vulnerability impact assessment (VIA) involves the examination of sectoral consequences in identified climate "hot spots". FEWS NET

  12. 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.

  13. Enhanced chemical weapon warning via sensor fusion

    Science.gov (United States)

    Flaherty, Michael; Pritchett, Daniel; Cothren, Brian; Schwaiger, James

    2011-05-01

    Torch Technologies Inc., is actively involved in chemical sensor networking and data fusion via multi-year efforts with Dugway Proving Ground (DPG) and the Defense Threat Reduction Agency (DTRA). The objective of these efforts is to develop innovative concepts and advanced algorithms that enhance our national Chemical Warfare (CW) test and warning capabilities via the fusion of traditional and non-traditional CW sensor data. Under Phase I, II, and III Small Business Innovative Research (SBIR) contracts with DPG, Torch developed the Advanced Chemical Release Evaluation System (ACRES) software to support non real-time CW sensor data fusion. Under Phase I and II SBIRs with DTRA in conjunction with the Edgewood Chemical Biological Center (ECBC), Torch is using the DPG ACRES CW sensor data fuser as a framework from which to develop the Cloud state Estimation in a Networked Sensor Environment (CENSE) data fusion system. Torch is currently developing CENSE to implement and test innovative real-time sensor network based data fusion concepts using CW and non-CW ancillary sensor data to improve CW warning and detection in tactical scenarios.

  14. Far-field tsunami of 2017 Mw 8.1 Tehuantepec, Mexico earthquake recorded by Chilean tide gauge network: Implications for tsunami warning systems

    Science.gov (United States)

    González-Carrasco, J. F.; Benavente, R. F.; Zelaya, C.; Núñez, C.; Gonzalez, G.

    2017-12-01

    The 2017 Mw 8.1, Tehuantepec earthquake generated a moderated tsunami, which was registered in near-field tide gauges network activating a tsunami threat state for Mexico issued by PTWC. In the case of Chile, the forecast of tsunami waves indicate amplitudes less than 0.3 meters above the tide level, advising an informative state of threat, without activation of evacuation procedures. Nevertheless, during sea level monitoring of network we detect wave amplitudes (> 0.3 m) indicating a possible change of threat state. Finally, NTWS maintains informative level of threat based on mathematical filtering analysis of sea level records. After 2010 Mw 8.8, Maule earthquake, the Chilean National Tsunami Warning System (NTWS) has increased its observational capabilities to improve early response. Most important operational efforts have focused on strengthening tide gauge network for national area of responsibility. Furthermore, technological initiatives as Integrated Tsunami Prediction and Warning System (SIPAT) has segmented the area of responsibility in blocks to focus early warning and evacuation procedures on most affected coastal areas, while maintaining an informative state for distant areas of near-field earthquake. In the case of far-field events, NTWS follow the recommendations proposed by Pacific Tsunami Warning Center (PTWC), including a comprehensive monitoring of sea level records, such as tide gauges and DART (Deep-Ocean Assessment and Reporting of Tsunami) buoys, to evaluate the state of tsunami threat in the area of responsibility. The main objective of this work is to analyze the first-order physical processes involved in the far-field propagation and coastal impact of tsunami, including implications for decision-making of NTWS. To explore our main question, we construct a finite-fault model of the 2017, Mw 8.1 Tehuantepec earthquake. We employ the rupture model to simulate a transoceanic tsunami modeled by Neowave2D. We generate synthetic time series at

  15. The EarthScope Plate Boundary Observatory and allied networks, the makings of nascent Earthquake and Tsunami Early Warning System in Western North America.

    Science.gov (United States)

    Mattioli, Glen; Mencin, David; Hodgkinson, Kathleen; Meertens, Charles; Phillips, David; Blume, Fredrick; Berglund, Henry; Fox, Otina; Feaux, Karl

    2016-04-01

    The NSF-funded GAGE Facility, managed by UNAVCO, operates approximately ~1300 GNSS stations distributed across North and Central America and in the circum-Caribbean. Following community input starting in 2011 from several workshops and associated reports,UNAVCO has been exploring ways to increase the capability and utility of the geodetic resources under its management to improve our understanding in diverse areas of geophysics including properties of seismic, volcanic, magmatic and tsunami deformation sources. Networks operated by UNAVCO for the NSF have the potential to profoundly transform our ability to rapidly characterize events, provide rapid characterization and warning, as well as improve hazard mitigation and response. Specific applications currently under development include earthquake early warning, tsunami early warning, and tropospheric modeling with university, commercial, non-profit and government partners on national and international scales. In the case of tsunami early warning, for example, an RT-GNSS network can provide multiple inputs in an operational system starting with rapid assessment of earthquake sources and associated deformation, which leads to the initial model of ocean forcing and tsunami generation. In addition, terrestrial GNSScan provide direct measurements of the tsunami through the associated traveling ionospheric disturbance from several 100's of km away as they approach the shoreline,which can be used to refine tsunami inundation models. Any operational system like this has multiple communities that rely on a pan-Pacific real-time open data set. Other scientific and operational applications for high-rate GPS include glacier and ice sheet motions, tropospheric modeling, and better constraints on the dynamics of space weather. Combining existing data sets and user communities, for example seismic data and tide gauge observations, with GNSS and Met data products has proven complicated because of issues related to metadata

  16. Datasets Supporting Paper Titled, “Influence of Network Model Detail on the Performance of Designs of Contamination Warning Systems”

    Data.gov (United States)

    U.S. Environmental Protection Agency — This ZIP file contains the four EPANET network models used for one of the two water distribution system (WDS) network models (N1) analyzed in the paper titled: “The...

  17. Early warning, warning or alarm systems for natural hazards? A generic classification.

    Science.gov (United States)

    Sättele, Martina; Bründl, Michael; Straub, Daniel

    2013-04-01

    Early warning, warning and alarm systems have gained popularity in recent years as cost-efficient measures for dangerous natural hazard processes such as floods, storms, rock and snow avalanches, debris flows, rock and ice falls, landslides, flash floods, glacier lake outburst floods, forest fires and even earthquakes. These systems can generate information before an event causes loss of property and life. In this way, they mainly mitigate the overall risk by reducing the presence probability of endangered objects. These systems are typically prototypes tailored to specific project needs. Despite their importance there is no recognised system classification. This contribution classifies warning and alarm systems into three classes: i) threshold systems, ii) expert systems and iii) model-based expert systems. The result is a generic classification, which takes the characteristics of the natural hazard process itself and the related monitoring possibilities into account. The choice of the monitoring parameters directly determines the system's lead time. The classification of 52 active systems moreover revealed typical system characteristics for each system class. i) Threshold systems monitor dynamic process parameters of ongoing events (e.g. water level of a debris flow) and incorporate minor lead times. They have a local geographical coverage and a predefined threshold determines if an alarm is automatically activated to warn endangered objects, authorities and system operators. ii) Expert systems monitor direct changes in the variable disposition (e.g crack opening before a rock avalanche) or trigger events (e.g. heavy rain) at a local scale before the main event starts and thus offer extended lead times. The final alarm decision incorporates human, model and organisational related factors. iii) Model-based expert systems monitor indirect changes in the variable disposition (e.g. snow temperature, height or solar radiation that influence the occurrence probability

  18. Evaluating the Use of Remote Sensing Data in the U.S. Agency for International Development Famine Early Warning Systems Network

    Science.gov (United States)

    Brown, Molly Elizabeth; Brickley, Elizabeth B

    2012-01-01

    The U.S. 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. 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 to 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 were used 84% of the time, remote sensing of vegetation 28% of the time, and gridded crop models 10% of the time, 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.

  19. Exploring the Potential of a Global Emerging Contaminant Early Warning Network through the Use of Retrospective Suspect Screening with High-Resolution Mass Spectrometry.

    Science.gov (United States)

    Alygizakis, Nikiforos A; Samanipour, Saer; Hollender, Juliane; Ibáñez, María; Kaserzon, Sarit; Kokkali, Varvara; van Leerdam, Jan A; Mueller, Jochen F; Pijnappels, Martijn; Reid, Malcolm J; Schymanski, Emma L; Slobodnik, Jaroslav; Thomaidis, Nikolaos S; Thomas, Kevin V

    2018-04-13

    A key challenge in the environmental and exposure sciences is to establish experimental evidence of the role of chemical exposure in human and environmental systems. High resolution and accurate tandem mass spectrometry (HRMS) is increasingly being used for the analysis of environmental samples. One lauded benefit of HRMS is the possibility to retrospectively process data for (previously omitted) compounds that has led to the archiving of HRMS data. Archived HRMS data affords the possibility of exploiting historical data to rapidly and effectively establish the temporal and spatial occurrence of newly identified contaminants through retrospective suspect screening. We propose to establish a global emerging contaminant early warning network to rapidly assess the spatial and temporal distribution of contaminants of emerging concern in environmental samples through performing retrospective analysis on HRMS data. The effectiveness of such a network is demonstrated through a pilot study, where eight reference laboratories with available archived HRMS data retrospectively screened data acquired from aqueous environmental samples collected in 14 countries on 3 different continents. The widespread spatial occurrence of several surfactants (e.g., polyethylene glycols ( PEGs ) and C12AEO-PEGs ), transformation products of selected drugs (e.g., gabapentin-lactam, metoprolol-acid, carbamazepine-10-hydroxy, omeprazole-4-hydroxy-sulfide, and 2-benzothiazole-sulfonic-acid), and industrial chemicals (3-nitrobenzenesulfonate and bisphenol-S) was revealed. Obtaining identifications of increased reliability through retrospective suspect screening is challenging, and recommendations for dealing with issues such as broad chromatographic peaks, data acquisition, and sensitivity are provided.

  20. Application of data mining methods to establish systems for early warning and proactive control in food supply chain networks

    NARCIS (Netherlands)

    Li, Y.

    2010-01-01

    Food quality problems in Food Supply Chain Networks (FSCN) have not only brought losses to the food industry, but also risks to the health of consumers. In current FSCN, Information Systems are widely used. Those information systems contain the data about various aspects of food production (e.g.

  1. Complex networks for data-driven medicine: the case of Class III dentoskeletal disharmony

    International Nuclear Information System (INIS)

    Scala, A; Auconi, P; Scazzocchio, M; Caldarelli, G; McNamara, JA; Franchi, L

    2014-01-01

    In the last decade, the availability of innovative algorithms derived from complexity theory has inspired the development of highly detailed models in various fields, including physics, biology, ecology, economy, and medicine. Due to the availability of novel and ever more sophisticated diagnostic procedures, all biomedical disciplines face the problem of using the increasing amount of information concerning each patient to improve diagnosis and prevention. In particular, in the discipline of orthodontics the current diagnostic approach based on clinical and radiographic data is problematic due to the complexity of craniofacial features and to the numerous interacting co-dependent skeletal and dentoalveolar components. In this study, we demonstrate the capability of computational methods such as network analysis and module detection to extract organizing principles in 70 patients with excessive mandibular skeletal protrusion with underbite, a condition known in orthodontics as Class III malocclusion. Our results could possibly constitute a template framework for organising the increasing amount of medical data available for patients’ diagnosis. (paper)

  2. Radon migration in soil and its relation to terrestrial gamma radiation in different locations of the Greek early warning system network

    International Nuclear Information System (INIS)

    Clouvas, A.; Leontaris, F.; Xanthos, S.; Alifragis, D.

    2017-01-01

    Radon concentration as function of the soil depth was measured during the years (2011 2015), in a location of the Aristotle University campus. Radium distribution in soil was found constant. On the contrary, as expected, radon concentration increases with soil depth. The experimental distribution was reproduced by solving the general transport equation (diffusion and advection). From the general radon migration (diffusion and advection) equation it was indirectly deduced, from the measured radon profile in the soil, the radon exhalation rate from the soil (26.7 ± 4.5 Bq m -2 h -1 ). In the same location, during 2010 2015, 113 direct radon exhalation measurements were performed and give an average value for the 6 years of 21.1 ± 3 Bq m -2 h -1 . The comparison between the radon exhalation rates deduced by the indirect and direct method indicates the validity of the diffusion advection model predictions concerning the radon exhalation rate from soil. The relation between radon migration in soil and terrestrial gamma radiation was studied. In particular, in the present study was investigated the correlation between gamma radiation 1 m above soil and radon exhalation in six locations of the Greek early warning system network. A positive correlation between gamma dose rate in air and radon exhalation rate from soil was found. (authors)

  3. Warning systems and public warning response

    Energy Technology Data Exchange (ETDEWEB)

    Sorensen, J.H.

    1993-09-01

    This background paper reviews current knowledge on warning systems and human response to warnings. It expands on an earlier paper prepared for a workshop on the Second Assessment on Natural Hazards, held in Estes Park, Colorado in July 1992. Although it has a North American perspective, many of the lessons learned are universally applicable. The paper addresses warning systems in terms of dissemination and does not cover physical science issues associated with prediction and forecast. Finally, it covers hazards with relatively short lead times -- 48 hours or less. It does not address topics such as long-term forecasts of earthquakes or volcanic eruptions or early famine warning systems.

  4. Istanbul Earthquake Early Warning System

    Science.gov (United States)

    Alcik, H.; Mert, A.; Ozel, O.; Erdik, M.

    2007-12-01

    . More complex algorithms based on artificial neural networks (ANN) can also be used [Boese et al., 2003]. ANN approach considers the problem of earthquake early-warning as a pattern recognition task. The seismic patterns can be defined by the shape and frequency content of the parts of accelerograms that are available at each time step. ANN can extract the engineering parameters PGA, CAV and instrumental intensity from these patterns, and map them to any location in the surrounded area. Boese M., Erdik, M., Wenzel, F. (2003), Artificial Neural Networks for Earthquake Early Warning, Proceedings AGU2003 Abstracts, S42B-0155

  5. Earthquake Early Warning: Real-time Testing of an On-site Method Using Waveform Data from the Southern California Seismic Network

    Science.gov (United States)

    Solanki, K.; Hauksson, E.; Kanamori, H.; Wu, Y.; Heaton, T.; Boese, M.

    2007-12-01

    We have implemented an on-site early warning algorithm using the infrastructure of the Caltech/USGS Southern California Seismic Network (SCSN). We are evaluating the real-time performance of the software system and the algorithm for rapid assessment of earthquakes. In addition, we are interested in understanding what parts of the SCSN need to be improved to make early warning practical. Our EEW processing system is composed of many independent programs that process waveforms in real-time. The codes were generated by using a software framework. The Pd (maximum displacement amplitude of P wave during the first 3sec) and Tau-c (a period parameter during the first 3 sec) values determined during the EEW processing are being forwarded to the California Integrated Seismic Network (CISN) web page for independent evaluation of the results. The on-site algorithm measures the amplitude of the P-wave (Pd) and the frequency content of the P-wave during the first three seconds (Tau-c). The Pd and the Tau-c values make it possible to discriminate between a variety of events such as large distant events, nearby small events, and potentially damaging nearby events. The Pd can be used to infer the expected maximum ground shaking. The method relies on data from a single station although it will become more reliable if readings from several stations are associated. To eliminate false triggers from stations with high background noise level, we have created per station Pd threshold configuration for the Pd/Tau-c algorithm. To determine appropriate values for the Pd threshold we calculate Pd thresholds for stations based on the information from the EEW logs. We have operated our EEW test system for about a year and recorded numerous earthquakes in the magnitude range from M3 to M5. Two recent examples are a M4.5 earthquake near Chatsworth and a M4.7 earthquake near Elsinore. In both cases, the Pd and Tau-c parameters were determined successfully within 10 to 20 sec of the arrival of the

  6. Warning Signs After Birth

    Science.gov (United States)

    ... care > Warning signs after birth Warning signs after birth E-mail to a friend Please fill in ... health problems new moms may have after giving birth? Chances are that you’ll be healthy after ...

  7. The SuperNova Early Warning System

    OpenAIRE

    Scholberg, K.

    2008-01-01

    A core collapse in the Milky Way will produce an enormous burst of neutrinos in detectors world-wide. Such a burst has the potential to provide an early warning of a supernova's appearance. I will describe the nature of the signal, the sensitivity of current detectors, and SNEWS, the SuperNova Early Warning System, a network designed to alert astronomers as soon as possible after the detected neutrino signal.

  8. Developing a type-III wind turbine model for stability studies of the Hydro-Quebec network

    Energy Technology Data Exchange (ETDEWEB)

    Langlois, Charles-Eric; Lefebvre, Daniel [Hydro-Quebec TransEnergie, Montreal, QC (Canada); Dube, Laurent [DEI Technology, Montreal, QC (Canada); Gagnon, Richard [Hydro-Quebec IREQ, Varennes, QC (Canada)

    2009-07-01

    This paper presents a type-III (with DFIG) wind turbine model developed by Hydro-Quebec for stability studies. The model was built in EMTPWorks for use in PSS/E via an EMTP-PSS/E multi-model interface, also developed by Hydro-Quebec. The type-III model includes a physical representation of the asynchronous generator with rotor flux transients and two-mass shaft dynamics. The paper describes the turbine controls and discusses the design basis of the model. The model was validated with a full-transient detailed MATLAB/SimPowerSystems model developed by Hydro-Quebec. The latter was successfully compared with measurements from some disturbances on the Hydro-Quebec network. Test comparisons with a type-III generic model from the PSS/E library are presented. (orig.)

  9. Perception and Strategic Warning.

    Science.gov (United States)

    1979-11-01

    N-i273-AF November 1979 PERCEPTION AND STRATEGIC WARNING Edmund Brunner, Jr. A Rand Note pepared for the Unid Statu Ar Fom IRand( A FO"WD PUSLIC...had, falsely or not, perceived a condition of strategic warning? Histories of crises and wars provide some useful evidence on such questions , but the...perception of strategic warning in their minds is not a completely open-or-shut question . There are hazards along the trail. IV. INFORMATION COLLECTION

  10. 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.

  11. 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

  12. Maternal early warning systems.

    Science.gov (United States)

    Friedman, Alexander M

    2015-06-01

    This article reviews evidence and recommendations for maternal early warning systems designed to reduce severe maternal morbidity and mortality. The clinical rationale for these systems is discussed as is research literature on early warning systems from other fields. Copyright © 2015 Elsevier Inc. All rights reserved.

  13. Earth Observations for Early Detection of Agricultural Drought in Countries at Risk: Contributions of the Famine Early Warning Systems Network (FEWS NET) (Invited)

    Science.gov (United States)

    Verdin, J. P.; Rowland, J.; Senay, G. B.; Funk, C. C.; Budde, M. E.; Husak, G. J.; Jayanthi, H.

    2013-12-01

    The Group on Earth Observations' Global Agricultural Monitoring (GEOGLAM) implementation plan emphasizes the information needs of countries at risk of food insecurity emergencies. Countries in this category are often vulnerable to disruption of agricultural production due to drought, while at the same time they lack well developed networks of in-situ observations to support early drought detection. Consequently, it is vital that Earth observations by satellites supplement those available from surface stations. The USGS, in its role as a FEWS NET implementing partner, has recently developed a number of new applications of satellite observations for this purpose. (1) In partnership with the University of California, Santa Barbara, a 30+ year time series of gridded precipitation estimates (CHIRPS) has been developed by blending NOAA GridSat B1 geostationary thermal infrared imagery with station observations using robust geostatistical methods. The core data set consists of pentadal (5-daily) accumulations from 1981-2013 at 0.05 degree spatial resolution between +/- 50 degrees latitude. Validation has been recently completed, and applications for gridded crop water balance calculations and mapping the Standardized Precipitation Index are in development. (2) Actual evapotranspiration (ETa) estimates using MODIS Land Surface Temperature (LST) data at 1-km have been successfully demonstrated using the operational Simplified Surface Energy Balance model with 8-day composites from the LPDAAC. A new, next-day latency implementation using daily LST swath data from the NASA LANCE server is in development for all the crop growing regions of the world. This ETa processing chain follows in the footsteps of (3) the expedited production of MODIS 250-meter NDVI images every five days at USGS EROS, likewise using LANCE daily swath data as input since 2010. Coverage includes Africa, Central Asia, the Middle East, Central America, and the Caribbean. (4) A surface water point monitoring

  14. New radiation warning sign

    International Nuclear Information System (INIS)

    Mac Kenzie, C.; Mason, C.

    2006-01-01

    Full text: Radiation accidents involving orphan radioactive sources have happened as a result of people not recognizing the radiation trefoil symbol or from being illiterate and not understanding a warning statement on the radiation source. The trefoil symbol has no inherent meaning to people that have not been instructed in its use. A new radiation warning sign, to supplement the existing trefoil symbol, has been developed to address these issues. Human Factors experts, United Nations member states, and members of the international community of radiation protection professionals were consulted for input on the design of a new radiation warning sign that would clearly convey the message of 'Danger- Run Away- Stay Away' when in close proximity to a dangerous source of radiation. Cultural differences of perception on various warning symbols were taken into consideration and arrays of possible signs were developed. The signs were initially tested in international children for identification with the desired message and response. Based on these test results and further input from radiation protection professionals, five warning signs were identified as the most successful in conveying the desired message and response. These five signs were tested internationally in eleven countries by a professional survey company to determine the best sign for this purpose. The conclusion of the international testing is presented. The new radiation warning sign is currently a draft ISO standard under committee review. The design of the propose d radiation warning sign and the proposed implementation strategy outlined in the draft ISO standard is presented. (authors)

  15. National Weather Service: Watch, Warning, Advisory Display

    Science.gov (United States)

    ... NWS Watch, Warning, Advisory Display NWS Warnings and Advisories on this map become active links to IWIN ... Flood Watch Coastal/Flood Warning Small Stream Flood Advisory Blizzard Warning Winter Storm Watch Winter Storm Warning ...

  16. Earthquake early warning performance tests for Istanbul

    Science.gov (United States)

    Köhler, N.; Wenzel, F.; Erdik, M.; Alcik, H.; Mert, A.

    2009-04-01

    The Marmara Region is the most densily populated region in Turkey. The greater area of the mega-city Istanbul inhabits about 14 million people. The city is located in the direct vicinity of the Main Marmara Fault, a dextral strike-slip fault system intersecting the Sea of Marmara, which is the western continuation of the North Anatolian Fault [Le Pichon et al., 2001]. Its closest distance to the city of Istanbul ranges between 15 and 20 km. Recent estimates by Parsons [2004] give a probability of more than 40% of a M ≥ 7 earthquake that will affect Istanbul within the next 30 years. Due to this high seismic risk, earthquake early warning is an important task in disaster management and seismic risk reduction, increasing the safety of millions of people living in and around Istanbul and reducing economic losses. The Istanbul Earthquake Rapid Response and Early Warning System (IERREWS) includes a set of 10 strong-motion sensors used for early warning which are installed between Istanbul and the Main Marmara Fault. The system works on the exceedance of amplitude thresholds, whereas three alarm levels are defined at three different thresholds [Erdik et al., 2003]. In the context of the research project EDIM (Earthquake Disaster Information System for the Marmara Region, Turkey), the early warning network is planned to be extended by an additional set of 10 strong-motion sensors installed around the Sea of Marmara to include the greater Marmara Region into the early warning process. We present performance tests of both the existing and the planned extended early warning network using ground motion simulations for 280 synthetic earthquakes along the Main Marmara Fault with moment magnitudes between 4.5 and 7.5. We apply the amplitude thresholds of IERREWS, as well as, for comparison, an early warning algorithm based on artificial neural networks which estimates hypocentral location and magnitude of the occurring earthquake. The estimates are updated continuously with

  17. 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...

  18. Training warning flags

    International Nuclear Information System (INIS)

    Miller, Richard C.

    2003-01-01

    Problems in accredited training programmes at US nuclear stations have resulted in several programmes having their accreditation status designated as probationary. A limited probationary period allows time for problem resolution before the programmes are again reviewed by the National Nuclear Accrediting Board. A careful study of these problems has resulted in the identification of several 'Training Warning Flags' that singularly, or in concert, may indicate or predict degraded training programme effectiveness. These training warning flags have been used by several US nuclear stations as a framework for self-assessments, as a reference in making changes to training programmes, and as a tool in considering student and management feedback on training activities. Further analysis and consideration of the training warning flags has developed precursors for each of the training warning flags. Although more subjective than the training warning flags, the precursors may represent early indicators of factors that may lead to or contribute to degraded training programme effectiveness. Used as evaluative tools, the training warning flags and the precursors may help identify areas for improvements in training programmes and help prioritize training programme improvement efforts. (author)

  19. 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.

  20. Econophysics of Markets and Business Networks Proceedings of the Econophys-Kolkata III

    CERN Document Server

    Chatterjee, Arnab

    2007-01-01

    Econophysicists have recently been quite successful in modelling and analysing various financial systems like trading, banking, stock and other markets. The statistical behaviour of the underlying networks in these systems have also been identified and characterised recently. This book reviews the current econophysics researches in the structure and functioning of these complex financial network systems. Leading researchers in the respective fields will report on their recent researches and review on the contemporary developments. The book will also include the comments and debates on the latest issues arising out of these.

  1. 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

  2. Application of Electre III and DEA methods in the BPR of a bank branch network

    Directory of Open Access Journals (Sweden)

    Damaskos Xenofon

    2005-01-01

    Full Text Available Operational research methodologies are a powerful tool assisting managers in their effort to critically review business data and decide on future business actions. This paper presents the application of Electre multi-criteria methodology and Data Envelopment Analysis, as a part of a small commercial bank's ongoing effort to reengineer its branch network. We focus on two particular problems: first, categorization of the branches so as to apply adequate equivalent organizational schemas and second the assessment of relative efficiency of human resources.

  3. Warnings from the Trenches

    Science.gov (United States)

    Bernstein, Kenneth

    2013-01-01

    The author, as a retired high school teacher, has some bad news for college professors. In case, they do not already see what is happening. The author wants to warn them of what to expect from the students who will be arriving in one's classroom even if they teach in a highly selective institution. No Child Left Behind went into effect for the…

  4. Ethanol mediated As(III) adsorption onto Zn-loaded pinecone biochar: Experimental investigation, modeling, and optimization using hybrid artificial neural network-genetic algorithm approach.

    Science.gov (United States)

    Zafar, Mohd; Van Vinh, N; Behera, Shishir Kumar; Park, Hung-Suck

    2017-04-01

    Organic matters (OMs) and their oxidization products often influence the fate and transport of heavy metals in the subsurface aqueous systems through interaction with the mineral surfaces. This study investigates the ethanol (EtOH)-mediated As(III) adsorption onto Zn-loaded pinecone (PC) biochar through batch experiments conducted under Box-Behnken design. The effect of EtOH on As(III) adsorption mechanism was quantitatively elucidated by fitting the experimental data using artificial neural network and quadratic modeling approaches. The quadratic model could describe the limiting nature of EtOH and pH on As(III) adsorption, whereas neural network revealed the stronger influence of EtOH (64.5%) followed by pH (20.75%) and As(III) concentration (14.75%) on the adsorption phenomena. Besides, the interaction among process variables indicated that EtOH enhances As(III) adsorption over a pH range of 2 to 7, possibly due to facilitation of ligand-metal(Zn) binding complexation mechanism. Eventually, hybrid response surface model-genetic algorithm (RSM-GA) approach predicted a better optimal solution than RSM, i.e., the adsorptive removal of As(III) (10.47μg/g) is facilitated at 30.22mg C/L of EtOH with initial As(III) concentration of 196.77μg/L at pH5.8. The implication of this investigation might help in understanding the application of biochar for removal of various As(III) species in the presence of OM. Copyright © 2016. Published by Elsevier B.V.

  5. 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 ...

  6. 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

  7. Synthesis, structures and magnetic properties of two chiral mixed-valence iron(ii,iii) coordination networks.

    Science.gov (United States)

    Xue, Yun-Shan; Tan, Xu; Zhou, Mengjie; Mei, Hua; Xu, Yan

    2017-12-21

    Two rare chiral mixed-valence iron(ii,iii) coordination networks d-and l-{[Fe II FeO(BTC) 3 (DEF) 3 ]·0.5H 2 O} n (d-1 and l-1) (H 3 BTC = 1,3,5-benzenetricarboxylic acid; DEF = N,N-diethylformamide) have been synthesized without any chiral auxiliary under the solvothermal conditions and structurally characterized by single crystal X-ray crystallography. Structural analysis indicates that these two polymers d-1 and l-1 are enantiomers. The only difference between d-1 and l-1 is that the framework of compound l-1 consists of left-handed double helical chains, while d-1 consists of right-handed double helical chains. Two distinct subunits (SBUs), {(μ 3 -O)Fe(COO) 6 (DEF) 3 } and {Fe II (COO) 6 }, are observed in both structures simultaneously. The integration of two distinct SBUs leads to a trinodal (3,3,6)-connected net with an unusual structural topology. Interestingly, despite the achiral nature of H 3 BTC, the resulting framework exhibits rare chiral helical channels. The experiments show that dodecatungstosilic acid acts as a catalyst which could increase the conversion of the initial reactant. The magnetic studies indicate antiferromagnetic interactions between Fe 3+ ions. Additionally, the luminescence studies revealed that the compound exhibited strong photoluminescence emissions at room temperature with a peak at 457 nm, owing to the strong interactions between organic linkers and metal clusters.

  8. Role of the distal hydrogen-bonding network in regulating oxygen affinity in the truncated hemoglobin III from Campylobacter jejuni.

    Science.gov (United States)

    Arroyo Mañez, Pau; Lu, Changyuan; Boechi, Leonardo; Martí, Marcelo A; Shepherd, Mark; Wilson, Jayne Louise; Poole, Robert K; Luque, F Javier; Yeh, Syun-Ru; Estrin, Darío A

    2011-05-17

    Oxygen affinity in heme-containing proteins is determined by a number of factors, such as the nature and conformation of the distal residues that stabilize the heme bound-oxygen via hydrogen-bonding interactions. The truncated hemoglobin III from Campylobacter jejuni (Ctb) contains three potential hydrogen-bond donors in the distal site: TyrB10, TrpG8, and HisE7. Previous studies suggested that Ctb exhibits an extremely slow oxygen dissociation rate due to an interlaced hydrogen-bonding network involving the three distal residues. Here we have studied the structural and kinetic properties of the G8(WF) mutant of Ctb and employed state-of-the-art computer simulation methods to investigate the properties of the O(2) adduct of the G8(WF) mutant, with respect to those of the wild-type protein and the previously studied E7(HL) and/or B10(YF) mutants. Our data indicate that the unique oxygen binding properties of Ctb are determined by the interplay of hydrogen-bonding interactions between the heme-bound ligand and the surrounding TyrB10, TrpG8, and HisE7 residues.

  9. Status Quo of Lanzhou Earthquake Early Warning System and Analysis of Its Key Technical Indicators

    Science.gov (United States)

    Tian, Xiufeng; Zeng, Wenhao; Pan, Zhangrong; Zhang, Weidong; Yuan, Jie; Zhang, Xuan

    2017-10-01

    The composition, network configuration and system operation condition of Lanzhou earthquake early warning system are introduced in details, and the factors influencing the early warning performance are discussed. Then, in combination of the status quo of system, the key technical indicators are analyzed, and the distribution map of consumed time for earthquake early warning is drawn. The result indicates that the average distance among stations in observation network is large, which casts an obvious influence on the time validity of early warning. Under the set conditions, the radius of blind zone ranges between 30.3km and 39.2km, and the early warning time increases as the epicentral distance enlarges. In addition, the radius of blind zone is influenced by the focal depth. Furthermore, influenced by the station distribution and density, the distribution of consumed time for earthquake early warning is extremely uneven and characteristic of obvious regional difference.

  10. Integration of Wireless Network Discovery and Exploit Capabilities Within the Constraints of the Joint Threat Warning System (JTWS) Component Architecture and Framework (JCAF)

    Science.gov (United States)

    2007-09-01

    54AG+ Wireless PC Card NETGEAR WG511U Double 108 Mbps Wireless PC Card Proxim ORiNOCO 802.11a/g ComboCard Gold 8480 Proxim ORiNOCO 802.11a/g...ComboCard Silver 8481 Proxim ORiNOCO 802.11a/g PCI Adapter 8482 Proxim ORiNOCO 802.11b/g ComboCard Gold 8470 Proxim ORiNOCO 802.11b/g ComboCard Silver...Wireless Communications & Networks., 2nd ed., Upper Saddle River , NJ: Prentice Hall, 2005, pp. 576. [12] M. O’Leary. (2005, July). The care and

  11. Crowd-Sourced Global Earthquake Early Warning

    Science.gov (United States)

    Minson, S. E.; Brooks, B. A.; Glennie, C. L.; Murray, J. R.; Langbein, J. O.; Owen, S. E.; Iannucci, B. A.; Hauser, D. L.

    2014-12-01

    Although earthquake early warning (EEW) has shown great promise for reducing loss of life and property, it has only been implemented in a few regions due, in part, to the prohibitive cost of building the required dense seismic and geodetic networks. However, many cars and consumer smartphones, tablets, laptops, and similar devices contain low-cost versions of the same sensors used for earthquake monitoring. If a workable EEW system could be implemented based on either crowd-sourced observations from consumer devices or very inexpensive networks of instruments built from consumer-quality sensors, EEW coverage could potentially be expanded worldwide. Controlled tests of several accelerometers and global navigation satellite system (GNSS) receivers typically found in consumer devices show that, while they are significantly noisier than scientific-grade instruments, they are still accurate enough to capture displacements from moderate and large magnitude earthquakes. The accuracy of these sensors varies greatly depending on the type of data collected. Raw coarse acquisition (C/A) code GPS data are relatively noisy. These observations have a surface displacement detection threshold approaching ~1 m and would thus only be useful in large Mw 8+ earthquakes. However, incorporating either satellite-based differential corrections or using a Kalman filter to combine the raw GNSS data with low-cost acceleration data (such as from a smartphone) decreases the noise dramatically. These approaches allow detection thresholds as low as 5 cm, potentially enabling accurate warnings for earthquakes as small as Mw 6.5. Simulated performance tests show that, with data contributed from only a very small fraction of the population, a crowd-sourced EEW system would be capable of warning San Francisco and San Jose of a Mw 7 rupture on California's Hayward fault and could have accurately issued both earthquake and tsunami warnings for the 2011 Mw 9 Tohoku-oki, Japan earthquake.

  12. Quake warnings, seismic culture

    Science.gov (United States)

    Allen, Richard M.; Cochran, Elizabeth S.; Huggins, Tom; Miles, Scott; Otegui, Diego

    2017-01-01

    Since 1990, nearly one million people have died from the impacts of earthquakes. Reducing those impacts requires building a local seismic culture in which residents are aware of earthquake risks and value efforts to mitigate harm. Such efforts include earthquake early warning (EEW) systems that provide seconds to minutes notice of pending shaking. Recent events in Mexico provide an opportunity to assess performance and perception of an EEW system and highlight areas for further improvement. We have learned that EEW systems, even imperfect ones, can help people prepare for earthquakes and build local seismic culture, both beneficial in reducing earthquake-related losses.

  13. Crowdsourced earthquake early warning

    Science.gov (United States)

    Minson, Sarah E.; Brooks, Benjamin A.; Glennie, Craig L.; Murray, Jessica R.; Langbein, John O.; Owen, Susan E.; Heaton, Thomas H.; Iannucci, Robert A.; Hauser, Darren L.

    2015-01-01

    Earthquake early warning (EEW) can reduce harm to people and infrastructure from earthquakes and tsunamis, but it has not been implemented in most high earthquake-risk regions because of prohibitive cost. Common consumer devices such as smartphones contain low-cost versions of the sensors used in EEW. Although less accurate than scientific-grade instruments, these sensors are globally ubiquitous. Through controlled tests of consumer devices, simulation of an Mw (moment magnitude) 7 earthquake on California’s Hayward fault, and real data from the Mw 9 Tohoku-oki earthquake, we demonstrate that EEW could be achieved via crowdsourcing.

  14. 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...

  15. Towards a nationwide Early Warning System in Romania

    Science.gov (United States)

    Marmureanu, A.; Ionescu, C.; Manea, L.

    2012-04-01

    The need to use early warning methods to reduce natural risks in modern societies is related to their unprecedented dependence upon technology. The strong deep events originating from Vrancea-Romania (Mw =7.5) area and shallow events originating from Banat-Romania or Shabla-Bulgaria areas can generate destructive effects in Romania and neighbor countries, and may seriously affect high risk manmade structures. EWS for deep Vrancea earthquakes uses the time interval (28-32 sec.) between the moment when the earthquake is detected by the local seismic network installed in the epicenter area (Vrancea) and the arrival time of the seismic waves in the protected area (Bucharest) to send earthquake warning to users. For the shallow events several methodologies to rapidly estimate earthquake magnitude are under testing. NIEP developed an early warning system that is able to evaluate rapidly earthquake magnitude after detection in the epicenter. In the last years, NIEP upgraded its seismic network in order to cover better the seismic zones of Romania. The early warning system consists of seismic stations that allow rapid communication of data, several software modules developed at NIEP and a communication network. The system allows estimation of earthquake magnitude and permits to send earthquake alarm very fast to users. The early warning software modules minimize communication latencies present in other communication protocols in order to have a rapid magnitude determination. This software was developed by NIEP and is running in present at our institute in real time.

  16. Connected motorcycle crash warning interfaces.

    Science.gov (United States)

    2016-01-15

    Crash warning systems have been deployed in the high-end vehicle market segment for some time and are trickling down to additional motor vehicle industry segments each year. The motorcycle segment, however, has no deployed crash warning system to dat...

  17. SNEWS - The Supernova Early Warning System

    International Nuclear Information System (INIS)

    The SuperNova Early Warning System is a cooperative project involving many experimenters coming from several, past and present, neutrino detectors. The primary goal of the collaboration is to provide the astronomical community with a prompt alert at the time of next galactic supernova. Requiring the online coincidence among neutrino detectors, world-wide distributed and with different detection techniques, SNEWS will generate a reliable, prompt and automated alert by eliminating the potential local false triggers. In this paper I will give a concise overview on the project motivations, network implementation, working procedures and current status.

  18. Software for ASS-500 based early warning system

    International Nuclear Information System (INIS)

    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

  19. Radiation detection and wireless networked early warning

    Science.gov (United States)

    Burns, David A.; Litz, Marc S.; Carroll, James J.; Katsis, Dimosthenis

    2012-06-01

    We have designed a compact, wireless, GPS-enabled array of inexpensive radiation sensors based on scintillation counting. Each sensor has a scintillator, photomultiplier tube, and pulse-counting circuit that includes a comparator, digital potentiometer and microcontroller. This design provides a high level of sensitivity and reliability. A 0.2 m2 PV panel powers each sensor providing a maintenance-free 24/7 energy source. The sensor can be mounted within a roadway light-post and monitor radiological activity along transport routes. Each sensor wirelessly transmits real-time data (as counts per second) up to 2 miles with a XBee radio module, and the data is received by a XBee receive-module on a computer. Data collection software logs the information from all sensors and provides real-time identification of radiation events. Measurements performed to-date demonstrate the ability of a sensor to detect a 20 μCi source at 3.5 meters when packaged with a PVT (plastic) scintillator, and 7 meters for a sensor with a CsI crystal (more expensive but ~5 times more sensitive). It is calculated that the sensor-architecture can detect sources moving as fast as 130 km/h based on the current data rate and statistical bounds of 3-sigma threshold detection. The sensor array is suitable for identifying and tracking a radiation threat from a dirty bomb along roadways.

  20. Multi-model perspectives and inter-comparison of soil moisture and evapotranspiration in East Africa—an application of Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS)

    Science.gov (United States)

    Pervez, M. S.; McNally, A.; Arsenault, K. R.

    2017-12-01

    Convergence of evidence from different agro-hydrologic sources is particularly important for drought monitoring in data sparse regions. In Africa, a combination of remote sensing and land surface modeling experiments are used to evaluate past, present and future drought conditions. The Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) routinely simulates daily soil moisture, evapotranspiration (ET) and other variables over Africa using multiple models and inputs. We found that Noah 3.3, Variable Infiltration Capacity (VIC) 4.1.2, and Catchment Land Surface Model based FLDAS simulations of monthly soil moisture percentile maps captured concurrent drought and water surplus episodes effectively over East Africa. However, the results are sensitive to selection of land surface model and hydrometeorological forcings. We seek to identify sources of uncertainty (input, model, parameter) to eventually improve the accuracy of FLDAS outputs. In absence of in situ data, previous work used European Space Agency Climate Change Initiative Soil Moisture (CCI-SM) data measured from merged active-passive microwave remote sensing to evaluate FLDAS soil moisture, and found that during the high rainfall months of April-May and November-December Noah-based soil moisture correlate well with CCI-SM over the Greater Horn of Africa region. We have found good correlations (r>0.6) for FLDAS Noah 3.3 ET anomalies and Operational Simplified Surface Energy Balance (SSEBop) ET over East Africa. Recently, SSEBop ET estimates (version 4) were improved by implementing a land surface temperature correction factor. We re-evaluate the correlations between FLDAS ET and version 4 SSEBop ET. To further investigate the reasons for differences between models we evaluate FLDAS soil moisture with Advanced Scatterometer and SMAP soil moisture and FLDAS outputs with MODIS and AVHRR normalized difference vegetation index. By exploring longer historic time series and near

  1. Impacts of human behavior heterogeneity on the benefits of probabilistic flood warnings

    Science.gov (United States)

    Du, E.; Rivera, S. J.; Cai, X.; Minsker, B. S.; Ernest, A. N. S.; Myers, L.

    2016-12-01

    Flood predictions and warnings are intended to reduce flood-related property damages and loss of human life. Considerable research has improved flood forecasting accuracy (e.g., more accurate prediction of the occurrence of flood events) and lead time. However, the delivery of improved forecast information alone is not necessarily sufficient for mitigating flooding damage, as people have varying responses and reactions after receiving flood warnings. This study develops an agent-based modeling framework that considers human behavioral heterogeneity and residential density in flood warning-response systems. The framework is coupled with a traffic model to simulate evacuation processes within a road network under various flood-warning scenarios. The results show that the marginal benefit associated with providing better flood warnings (i.e., flood warnings with high prediction accuracies and/or longer lead times) is significantly constrained if people behave in a more risk-tolerant manner, especially in high-density residential areas. The results also show significant impacts of human behavior heterogeneity on the benefit of flood warnings, and thus highlight the importance of considering human behavior heterogeneity in simulating flood warning-response systems. Further study is suggested to more accurately model human responses and behavior heterogeneity, as well as to include more attributes of residential areas to estimate the benefit of flood warnings.

  2. Prediction of phycoremediation of As(III) and As(V) from synthetic wastewater by Chlorella pyrenoidosa using artificial neural network

    Science.gov (United States)

    Podder, M. S.; Majumder, C. B.

    2017-11-01

    An artificial neural network (ANN) model was developed to predict the phycoremediation efficiency of Chlorella pyrenoidosa for the removal of both As(III) and As(V) from synthetic wastewater based on 49 data-sets obtained from experimental study and increased the data using CSCF technique. The data were divided into training (60%) validation (20%) and testing (20%) sets. The data collected was used for training a three-layer feed-forward back propagation (BP) learning algorithm having 4-5-1 architecture. The model used tangent sigmoid transfer function at input to hidden layer ( tansing) while a linear transfer function ( purelin) was used at output layer. Comparison between experimental results and model results gave a high correlation coefficient (R allANN 2 equal to 0.99987 for both ions and exhibited that the model was able to predict the phycoremediation of As(III) and As(V) from wastewater. Experimental parameters influencing phycoremediation process like pH, inoculum size, contact time and initial arsenic concentration [either As(III) or As(V)] were investigated. A contact time of 168 h was mainly required for achieving equilibrium at pH 9.0 with an inoculum size of 10% (v/v). At optimum conditions, metal ion uptake enhanced with increasing initial metal ion concentration.

  3. 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

  4. EVALUATING EFFECTIVENESS OF MOBILE BROWSER SECURITY WARNINGS

    Directory of Open Access Journals (Sweden)

    Ronak Shah

    2016-09-01

    Full Text Available This work precisely evaluates whether browser security warnings are as ineffective as proposed by popular sentiments and past writings. This research used different kinds of Android mobile browsers as well as desktop browsers to evaluate security warnings. Security experts and developers should give emphasis on making a user aware of security warnings and should not neglect aim of communicating this to users. Security experts and system architects should emphasis the goal of communicating security information to end users. In most of the browsers, security warnings are not emphasized, and browsers simply do not show warnings, or there are a number of ways to hide those warnings of malicious sites. This work precisely finds that how inconsistent browsers really are in prompting security warnings. In particular, majority of the modern mobile web browsers are vulnerable to these security threats. We find inconsistency in SSL warnings among web browsers. Based on this work, we make recommendations for warning designers and researchers.

  5. The Sytar network: a radioactivity observatory

    International Nuclear Information System (INIS)

    Robeau, D.; Calmet, D.

    1992-01-01

    A Radiological Transmission and Early Warning System (SYTAR) connects a network of stations all over France to the Emergency Centre of the Institut de Protection et de Surete Nucleaire in Fontenay aux Roses. Under normal circumstances, radiological data collection is done in three different ways, (i) a real time transmission of total alpha and beta in aerosols and external gamma radiation measurements performed and relayed by beacons fitted with sequential filters; (ii) a transmission of recorded data containing results of alpha spectrometry: weekly beta and gamma measurements of biological indicators, (iii) in accident conditions the rate of data delivery is stepped up

  6. Self-face recognition shares brain regions active during proprioceptive illusion in the right inferior fronto-parietal superior longitudinal fasciculus III network.

    Science.gov (United States)

    Morita, Tomoyo; Saito, Daisuke N; Ban, Midori; Shimada, Koji; Okamoto, Yuko; Kosaka, Hirotaka; Okazawa, Hidehiko; Asada, Minoru; Naito, Eiichi

    2017-04-21

    Proprioception is somatic sensation that allows us to sense and recognize position, posture, and their changes in our body parts. It pertains directly to oneself and may contribute to bodily awareness. Likewise, one's face is a symbol of oneself, so that visual self-face recognition directly contributes to the awareness of self as distinct from others. Recently, we showed that right-hemispheric dominant activity in the inferior fronto-parietal cortices, which are connected by the inferior branch of the superior longitudinal fasciculus (SLF III), is associated with proprioceptive illusion (awareness), in concert with sensorimotor activity. Herein, we tested the hypothesis that visual self-face recognition shares brain regions active during proprioceptive illusion in the right inferior fronto-parietal SLF III network. We scanned brain activity using functional magnetic resonance imaging while twenty-two right-handed healthy adults performed two tasks. One was a proprioceptive illusion task, where blindfolded participants experienced a proprioceptive illusion of right hand movement. The other was a visual self-face recognition task, where the participants judged whether an observed face was their own. We examined whether the self-face recognition and the proprioceptive illusion commonly activated the inferior fronto-parietal cortices connected by the SLF III in a right-hemispheric dominant manner. Despite the difference in sensory modality and in the body parts involved in the two tasks, both tasks activated the right inferior fronto-parietal cortices, which are likely connected by the SLF III, in a right-side dominant manner. Here we discuss possible roles for right inferior fronto-parietal activity in bodily awareness and self-awareness. Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

  7. 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.

  8. New measuring and evaluation procedures for Tsunami Early Warning

    Science.gov (United States)

    Muench, U.; Lauterjung, J.; Rudloff, A.; Gitews-Project Team

    2009-04-01

    The Tsunami Early Warning System for the Indian Ocean just recently went into operation in Indonesia. The different sensor stations have, for the most part, been installed and now deliver respective data either online or upon request to the Warning Centre in Jakarta. Before March 2010, however, the interaction between the different component parts must be improved and optimized, personnel needs to be trained and eventual problems in the daily operation have to be dealt with. This current system differs from previous Tsunami Warning Systems through the application of modern scientific methods and technologies. New procedures for the fast and reliable determination of strong earthquakes, the modelling of tsunamis and the assessment of the situation have been implemented in the Warning System. In particular, the direct incorporation of a broad variety of different sensors provides for information from a number of sources thus resulting in a stable system and minimizing breakdowns. The system includes a seismological network, together with GPS stations and a network of GPS buoys additionally equipped with ocean bottom pressure sensors and a tide gauge network. The warning system is designed in an open and modular structure based on the most recent developments and standards of information technology. Therefore, the system can easily integrate additional sensor components to be used in other regions such as the Mediterranean Sea and/or for different purposes e.g. storm tides. Up to now the German Project Group has been cooperating in the Indian Ocean region with Sri Lanka, the Maldives, Yemen, Tanzania and Kenya to build up equipment primarily for seismological monitoring and data evaluation. Close ties have also been established with Australia, South Africa and India for the real-time exchange mainly of seismological, but also of sea level data.

  9. Differences between Mice and Humans in Regulation and the Molecular Network of Collagen, Type III, Alpha-1 at the Gene Expression Level: Obstacles that Translational Research Must Overcome

    Directory of Open Access Journals (Sweden)

    Lishi Wang

    2015-07-01

    Full Text Available Collagen, type III, alpha-1 (COL3A1 is essential for normal collagen I fibrillogenesis in many organs. There are differences in phenotypes of mutations in the COL3A1 gene in humans and mutations in mice. In order to investigate whether the regulation and gene network of COL3A1 is the same in healthy populations of mice and humans, we compared the quantitative trait loci (QTL that regulate the expression level of COL3A1 and the gene network of COL3A1 pathways between humans and mice using whole genome expression profiles. Our results showed that, for the regulation of expression of Col3a1 in mice, an eQTL on chromosome (Chr 12 regulates the expression of Col3a1. However, expression of genes in the syntenic region on human Chr 7 has no association with the expression level of COL3A1. For the gene network comparison, we identified 44 top genes whose expression levels are strongly associated with that of Col3a1 in mice. We next identified 41 genes strongly associated with the expression level of COL3A1 in humans. There are a few but significant differences in the COL3A1 gene network between humans and mice. Several genes showed opposite association with expression of COL3A1. These genes are known to play important roles in development and function of the extracellular matrix of the lung. Difference in the molecular pathway of key genes in the COL3A1 gene network in humans and mice suggest caution should be used in extrapolating results from models of human lung diseases in mice to clinical lung diseases in humans. These differences may influence the efficacy of drugs in humans whose development employed mouse models.

  10. Earthquake Early Warning Management based on Client-Server using Primary Wave data from Vibrating Sensor

    Science.gov (United States)

    Laumal, F. E.; Nope, K. B. N.; Peli, Y. S.

    2018-01-01

    Early warning is a warning mechanism before an actual incident occurs, can be implemented on natural events such as tsunamis or earthquakes. Earthquakes are classified in tectonic and volcanic types depend on the source and nature. The tremor in the form of energy propagates in all directions as Primary and Secondary waves. Primary wave as initial earthquake vibrations propagates longitudinally, while the secondary wave propagates like as a sinusoidal wave after Primary, destructive and as a real earthquake. To process the primary vibration data captured by the earthquake sensor, a network management required client computer to receives primary data from sensors, authenticate and forward to a server computer to set up an early warning system. With the water propagation concept, a method of early warning system has been determined in which some sensors are located on the same line, sending initial vibrations as primary data on the same scale and the server recommended to the alarm sound as an early warning.

  11. Panel 2.2: surveillance, early warning alert, and response: communicable and vector-borne diseases.

    Science.gov (United States)

    Roure, Collette; Khalakdina, Asheena; Ungchusak, Kumnuan; Yulizar, Media; Ravindran, P; Watson, John; Pinto, Augusto

    2005-01-01

    This is a summary of the presentations and discussion of Surveillance, Early Warning Alert and Response at the Conference, Health Aspects of the Tsunami Disaster in Asia, convened by the World Health Organization (WHO) in Phuket, Thailand, 04-06 May 2005. The topics discussed included issues related to the surveillance, early warning alert, and response to communicable and vector-borne diseases as pertaining to the responses to the damage created by the Tsunami. It is presented in the following major sections: (1) key questions; (2) needs assessment; (3) coordination; (4) gap filling; and (5) capacity building. The key questions section is presented in six sub-sections: (1) communicable diseases; (2) early warning; (3) laboratory capacity and referral networking; (4) coordination of disease surveillance, early warning, and response; (5) health infrastructure rebuilding; and (6) using existing national surveillance plans to enhance disease surveillance and early warning systems.

  12. Role of the Distal Hydrogen-Bonding Network in Regulating Oxygen Affinity in the Truncated Hemoglobin III from Campylobacter jejuni

    OpenAIRE

    Mañez, Pau Arroyo; Lu, Changyuan; Boechi, Leonardo; Martí, Marcelo A.; Shepherd, Mark; Wilson, Jayne Louise; Poole, Robert K.; Luque, F. Javier; Yeh, Syun-Ru; Estrin, Darío A.

    2011-01-01

    Oxygen affinity in heme-containing proteins is determined by a number of factors, such as the nature and conformation of the distal residues that stabilize the heme bound-oxygen via hydrogen-bonding interactions. The truncated hemoglobin III from Campylobacter jejuni (Ctb) contains three potential hydrogen-bond donors in the distal site: TyrB10, TrpG8, and HisE7. Previous studies suggested that Ctb exhibits an extremely slow oxygen dissociation rate due to an interlaced hydrogen-bonding netwo...

  13. Female Intercollegiate Athlete Alcohol Use: The Impact of Peer Social Networks on the Alcohol Use of NCAA Division III Athletes

    Science.gov (United States)

    Lorentson, Sally Ingrid Sagen

    2010-01-01

    Using a quantitative, correlational-exploratory design, this study explored the impact of peer social network size and composition on the alcohol use rates of first-year female athletes after 6 weeks of their first year of college, using the National College Health Assessment II and researcher-composed supplemental questions. Additionally, this…

  14. Mammogram synthesis using a three-dimensional simulation. III. Modeling and evaluation of the breast ductal network

    International Nuclear Information System (INIS)

    Bakic, Predrag R.; Albert, Michael; Brzakovic, Dragana; Maidment, Andrew D. A.

    2003-01-01

    A method is proposed for realistic simulation of the breast ductal network as part of a computer three-dimensional (3-D) breast phantom. The ductal network is simulated using tree models. Synthetic trees are generated based upon a description of ductal branching by ramification matrices (R matrices), whose elements represent the probabilities of branching at various levels of a tree. We simulated the ductal network of the breast, consisting of multiple lobes, by random binary trees (RBT). Each lobe extends from the ampulla and consists of branching ductal segments of decreasing size, and the associated terminal ductal-lobular units. The lobes follow curved paths that project from the nipple toward the chest wall. We have evaluated the RBT model by comparing manually- traced ductal networks from 25 projections of ductal lobes in clinical galactograms and manually- traced networks from 23 projections of synthetic RBTs. A root-mean-square (rms) fractional error of 41%, between the R-matrix elements corresponding to clinical and synthetic images, was computed. This difference was influenced by projection and segmentation artifacts and by the limited number of available images. In addition, we analyzed 23 synthetic trees generated using R matrices computed from clinical images. A comparison of these synthetic and clinical images yielded a rms fractional error of 11%, suggesting the possibility that a more appropriate model of the ductal branching morphology may be developed. Rejection of the RBT model also suggests the existence of a relationship between ductal branching morphology and the state of mammary development and pathology

  15. Joint Typhoon Warning Center (JTWC) Storm Wallets

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Joint Typhoon Warning Center (JTWC) is responsible for typhoon forecasts and warnings for the Western Pacific and Indian Ocean basins. After each storm, the JTWC...

  16. Fact Sheet: Early Warning Signs of Psychosis

    Science.gov (United States)

    ... items) Share Fact Sheet: Early Warning Signs of Psychosis Download PDF Download ePub Order a free hardcopy ... show changes in his or her behaviors before psychosis develops. The list below includes several warning signs ...

  17. Towards Operational Meteotsunami Early Warning System: the Adriatic Project MESSI

    Science.gov (United States)

    Vilibic, I.; Sepic, J.; Denamiel, C. L.; Mihanovic, H.; Muslim, S.; Tudor, M.; Ivankovic, D.; Jelavic, D.; Kovacevic, V.; Masce, T.; Dadic, V.; Gacic, M.; Horvath, K.; Monserrat, S.; Rabinovich, A.; Telisman-Prtenjak, M.

    2017-12-01

    A number of destructive meteotsunamis - atmospherically-driven long ocean waves in a tsunami frequency band - occurred during the last decade through the world oceans. Owing to significant damage caused by these meteotsunamis, several scientific groups (occasionally in collaboration with public offices) have started developing meteotsunami warning systems. Creation of one such system has been initialized in the late 2015 within the MESSI (Meteotsunamis, destructive long ocean waves in the tsunami frequency band: from observations and simulations towards a warning system) project. Main goal of this project is to build a prototype of a meteotsunami warning system for the eastern Adriatic coast. The system will be based on real-time measurements, operational atmosphere and ocean modeling and real time decision-making process. Envisioned MESSI meteotsunami warning system consists of three modules: (1) synoptic warning module, which will use established correlation between forecasted synoptic fields and high-frequency sea level oscillations to provide qualitative meteotsunami forecasts for up to a week in advance, (2) probabilistic premodeling prediction module, which will use operational WRF-ROMS-ADCIRC modeling system and compare the forecast with an atlas of presimulations to get the probabilistic meteotsunami forecast for up to three days in advance, and (3) real-time module, which is based on real time tracking of properties of air pressure disturbance (amplitude, speed, direction, period, ...) and their real-time comparison with the atlas of meteotsunami simulations. System will be tested on recent meteotsunami events which were recorded in the MESSI area shortly after the operational meteotsunami network installation. Albeit complex, such a multilevel warning system has a potential to be adapted to most meteotsunami hot spots, simply by tuning the system parameters to the available atmospheric and ocean data.

  18. Design And Construction Of Early Warning Environmental Radiation Monitoring Station

    International Nuclear Information System (INIS)

    Early Warning Environmental Radiation Monitoring Station, used ONLINE environmental radiation monitoring and early warning network, has high sensitive radiation detection and it can send the alarm signal quickly by the Internet network to the emergency management office. Its gamma Probes are one NaI(Tl) detector and three GM detectors. The NaI(Tl) detector is used to monitor Spectrum environmental radiation and identify the Isotopes, the other are used to detect high dose rate of gamma rays. This instrument must tolerate a wide range of ambient temperature and strong temperature slopes when used in outdoor. However, the gain of photomultiplier tube, amplifier and ADC must be stabilized by pulsed LEDs used as precision reference light sources. (author)

  19. Key Parameters Estimation and Adaptive Warning Strategy for Rear-End Collision of Vehicle

    Directory of Open Access Journals (Sweden)

    Xiang Song

    2015-01-01

    Full Text Available The rear-end collision warning system requires reliable warning decision mechanism to adapt the actual driving situation. To overcome the shortcomings of existing warning methods, an adaptive strategy is proposed to address the practical aspects of the collision warning problem. The proposed strategy is based on the parameter-adaptive and variable-threshold approaches. First, several key parameter estimation algorithms are developed to provide more accurate and reliable information for subsequent warning method. They include a two-stage algorithm which contains a Kalman filter and a Luenberger observer for relative acceleration estimation, a Bayesian theory-based algorithm of estimating the road friction coefficient, and an artificial neural network for estimating the driver’s reaction time. Further, the variable-threshold warning method is designed to achieve the global warning decision. In the method, the safety distance is employed to judge the dangerous state. The calculation method of the safety distance in this paper can be adaptively adjusted according to the different driving conditions of the leading vehicle. Due to the real-time estimation of the key parameters and the adaptive calculation of the warning threshold, the strategy can adapt to various road and driving conditions. Finally, the proposed strategy is evaluated through simulation and field tests. The experimental results validate the feasibility and effectiveness of the proposed strategy.

  20. Image Recognition Techniques for Earthquake Early Warning

    Science.gov (United States)

    Boese, M.; Heaton, T. H.; Hauksson, E.

    2011-12-01

    When monitoring on his/her PC a map of seismic stations, whose colors scale with the real-time transmitted ground motions amplitudes observed in a dense seismic network, an experienced person will fairly easily recognize when and where an earthquake occurs. Using the maximum amplitudes at stations at close epicentral distances, he/she might even be able to roughly estimate the size of the event. From the number and distribution of stations turning 'red', the person might also be able to recognize the rupturing fault in a large earthquake (M>>7.0), and to estimate the rupture dimensions while the rupture is still developing. Following this concept, we are adopting techniques for automatic image recognition to provide earthquake early warning. We rapidly correlate a set of templates with real-time ground motion observations in a seismic network. If a 'suspicious' pattern of ground motion amplitudes is detected, the algorithm starts estimating the location of the earthquake and its magnitude. For large earthquakes the algorithm estimates finite source dimensions and the direction of rupture propagation. These predictions are continuously up-dated using the current 'image' of ground motion observations. A priori information, such as on the orientation of mayor faults, helps enhancing estimates in less dense networks. The approach will be demonstrated for multiple simulated and real events in California.

  1. Viewing alcohol warning advertising reduces urges to drink in young adults: an online experiment.

    Science.gov (United States)

    Stautz, Kaidy; Marteau, Theresa M

    2016-07-08

    Tobacco counter-advertising is effective at promoting smoking cessation. Few studies have evaluated the impact of alcohol warning advertising on alcohol consumption and possible mechanisms of effect. This pilot study aimed to assess whether alcohol warning advertising is effective in reducing urges to drink alcohol, if emotional responses to advertising explain any such effect or perceived effectiveness, and whether effects differ among heavier drinkers. One hundred fifty-two young adult (aged 18-25) alcohol users completed an online experiment in which they were randomly assigned to view one of three sets of six advertisements: (i) alcohol warning; (ii) alcohol promoting; or (iii) advertisements for non-alcohol products. Urges to drink alcohol were self-reported post-exposure. Affective responses (pleasure and arousal) to each advertisement and perceived effectiveness of each advertisement were recorded. Typical level of alcohol consumption was measured as a potential effect modifier. Participants exposed to alcohol warning advertisements reported significantly lower urges to drink alcohol than those who viewed either alcohol promoting or non-alcohol advertisements. This effect was fully mediated by negative affective responses (displeasure) to the alcohol warning advertisements. Perceived effectiveness of alcohol warning advertisements was associated with high arousal responses. Impact of the advertisements was unaffected by typical level of alcohol consumption, although the study was not powered to detect anything other than large effects. In line with findings from the tobacco literature, alcohol warning advertisements that elicit negative affect reduce urges to drink alcohol. Their impact upon actual consumption awaits investigation.

  2. Alcohol warnings in TV beer advertisements.

    Science.gov (United States)

    Slater, M D; Domenech, M M

    1995-05-01

    Mandated warnings are among the few steps Congress has taken to influence the use of legal substances such as alcohol. The usefulness of such warnings in discouraging abuse of alcohol is, however, controversial. This study examines the impact of televised warnings on probable antecedents of belief change not examined in previous research: confidence in beliefs about beer risks or benefits, and cognitive responses to the advertisements. The present study (N = 75 male and female college students) tests four of the warnings recommended in Senate Bill 674 (1993--the "Thurmond bill") edited into randomly sampled television beer advertisements, using a between-subjects treatment-and-control experimental design. The four advertisements or advertisement/warning pairs were counterbalanced and analyzed as a repeated measures factor. The study indicated, as hypothesized, that subjects exposed to warnings tended to have less confidence in their generally skeptical assessments of beer risks--a likely precursor to belief change in resistant populations. Repeated exposure to the advertisements alone also appeared to lead to increased confidence in generally positive assessments of beer benefits, whereas repeated exposure to warnings led to decreased confidence in such assessments. Repeated exposure to warnings also may have primed negative reactions to subsequent beer advertisements. These results suggest mechanisms by which alcohol warnings may over time influence beliefs. Measures used here may serve as useful criterion variables in future studies on warnings. Further attention to optimizing warning content and presentation is recommended.

  3. A new visibility pre-warning system for the expressway

    Science.gov (United States)

    Lin, L.; Hong, Q.; Li, G.; Han, X. B.; C-Y Lu, Steven; Ding, R.

    2005-01-01

    One of the most important factors that contribute to traffic accidents on the expressway is the low visibility, which may be caused by local or regional weather status such as agglomerate fog, rain, snow and sandstorm. A pre-warning system would be great help to prevent traffic accidents due to low visibility. Considering some problems of the existing system, such as the limited monitoring area and expensive cost, etc., a new kind of visibility pre-warning system is presented in this paper. The pre-warning system is made up of measuring nodes and communications bus. At the measuring node there is a long-distance photoelectric sensor, which is placed by means of cascade at the middle isolation strip along the expressway. Using the long-distance sensors makes it possible to monitor the visibility status of the whole expressway. CAN bus is used in this system as the communication bus to transmit information about visibility along the expressway. In virtue of the advantages of the CAN bus, a long distance network is constructed to meet the needs of the system, such as real time, reliability and low cost. With this new visibility pre-warning system, the visibility status of the whole expressway can be monitored in time and all day. In this paper, the architectural structure of the system is introduced, and also the detailed designs of the measuring node and hardware connection of the CAN bus communications is described.

  4. A Comparison of Earthquake Early Warning Approaches: Challenges and Benefits

    Science.gov (United States)

    Spriggs, N.; Yenier, E.; Baturan, D.

    2017-12-01

    The primary objective of an earthquake early warning (EEW) system is to provide an advance notification of an on-going event before the arrival of damaging seismic waves to a target site. This requires a robust seismic network infrastructure, rapid event characterization algorithm and fast communication system. Most of existing EEW systems operate based on two different approaches: on-site and regional. The on-site approach uses first P-wave arrivals at the target site to estimate ground motion intensity at the same site for a local warning. As the warning is issued based on local measurements of P-waves, it does not require estimations of event location and magnitude for the prediction of ground motion intensity. The regional approach, however, benefits from very first detections at front-line stations and rapidly determines event magnitude and location to estimate ground motion intensity at distant target sites using a regional ground motion model. The estimated source parameters, which are continuously updated as more stations are triggered, allow estimation of ground motion intensities at multiple sites. This enables issuing strong shaking alerts at multiple sites as well as the generation of shake and loss estimation maps for post-event emergency response. Here, we examine the two EEW approaches in terms of their inputs and outcomes, with focus on the challenges to achieve a robust early warning system and benefits of data products for each approach.

  5. Semantic congruency of auditory warnings.

    Science.gov (United States)

    Isherwood, Sarah J; McKeown, Denis

    2017-07-01

    The aim of this study was to explore operator experience and performance for semantically congruent and incongruent auditory icons and abstract alarm sounds. It was expected that performance advantages for congruent sounds would be present initially but would reduce over time for both alarm types. Twenty-four participants (12M/12F) were placed into auditory icon or abstract alarm groupings. For each group both congruent and incongruent alarms were used to represent different driving task scenarios. Once sounded, participants were required to respond to each alarm by selecting a corresponding driving scenario. User performance for all sound types improved over time, however even with experience a decrement in speed of response remained for the incongruent iconic sounds and in accuracy of performance for the abstract warning sounds when compared to the congruent auditory icons. Semantic congruency was found to be of more importance for auditory icons than for abstract sounds. Practitioner Summary: Alarms are used in many operating systems as emergency, alerting, or continuous monitoring signals for instance. This study found that the type and representativeness of an auditory warning will influence operator performance over time. Semantically congruent iconic sounds produced performance advantages over both incongruent iconic sounds and abstract warnings.

  6. Type III effectors orchestrate a complex interplay between transcriptional networks to modify basal defence responses during pathogenesis and resistance.

    Science.gov (United States)

    Truman, William; de Zabala, Marta Torres; Grant, Murray

    2006-04-01

    To successfully infect a plant, bacterial pathogens inject a collection of Type III effector proteins (TTEs) directly into the plant cell that function to overcome basal defences and redirect host metabolism for nutrition and growth. We examined (i) the transcriptional dynamics of basal defence responses between Arabidopsis thaliana and Pseudomonas syringae and (ii) how basal defence is subsequently modulated by virulence factors during compatible interactions. A set of 96 genes displaying an early, sustained induction during basal defence was identified. These were also universally co-regulated following other bacterial basal resistance and non-host responses or following elicitor challenges. Eight hundred and eighty genes were conservatively identified as being modulated by TTEs within 12 h post-inoculation (hpi), 20% of which represented transcripts previously induced by the bacteria at 2 hpi. Significant over-representation of co-regulated transcripts encoding leucine rich repeat receptor proteins and protein phosphatases were, respectively, suppressed and induced 12 hpi. These data support a model in which the pathogen avoids detection through diminution of extracellular receptors and attenuation of kinase signalling pathways. Transcripts associated with several metabolic pathways, particularly plastid based primary carbon metabolism, pigment biosynthesis and aromatic amino acid metabolism, were significantly modified by the bacterial challenge at 12 hpi. Superimposed upon this basal response, virulence factors (most likely TTEs) targeted genes involved in phenylpropanoid biosynthesis, consistent with the abrogation of lignin deposition and other wall modifications likely to restrict the passage of nutrients and water to the invading bacteria. In contrast, some pathways associated with stress tolerance are transcriptionally induced at 12 hpi by TTEs.

  7. 78 FR 51381 - Early Warning Reporting, Foreign Defect Reporting, and Motor Vehicle and Equipment Recall...

    Science.gov (United States)

    2013-08-20

    ... Considered in Adding Data Elements to Early Warning Reports 2. Vehicle Type for Light Vehicle Aggregate Data... Brand Name, Model Name, and Model Number of the Equipment Recalled iii. Disclaimers in Part 573 Defect... on deaths or injuries contain specified data elements. In addition, light vehicle, bus, emergency...

  8. Ethical Considerations Related to Return of Results from Genomic Medicine Projects: The eMERGE Network (Phase III Experience

    Directory of Open Access Journals (Sweden)

    Robyn Fossey

    2018-01-01

    Full Text Available We examined the Institutional Review Board (IRB process at 9 academic institutions in the electronic Medical Records and Genomics (eMERGE Network, for proposed electronic health record-based genomic medicine studies, to identify common questions and concerns. Sequencing of 109 disease related genes and genotyping of 14 actionable variants is being performed in ~28,100 participants from the 9 sites. Pathogenic/likely pathogenic variants in actionable genes are being returned to study participants. We examined each site’s research protocols, informed-consent materials, and interactions with IRB staff. Research staff at each site completed questionnaires regarding their IRB interactions. The time to prepare protocols for IRB submission, number of revisions and time to approval ranged from 10–261 days, 0–11, and 11–90 days, respectively. IRB recommendations related to the readability of informed consent materials, specifying the full range of potential risks, providing options for receiving limited results or withdrawal, sharing of information with family members, and establishing the mechanisms to answer participant questions. IRBs reviewing studies that involve the return of results from genomic sequencing have a diverse array of concerns, and anticipating these concerns can help investigators to more effectively engage IRBs.

  9. Flow ensemble prediction for flash flood warnings at ungauged basins

    Science.gov (United States)

    Demargne, Julie; Javelle, Pierre; Organde, Didier; Caseri, Angelica; Ramos, Maria-Helena; de Saint Aubin, Céline; Jurdy, Nicolas

    2015-04-01

    Flash floods, which are typically triggered by severe rainfall events, are difficult to monitor and predict at the spatial and temporal scales of interest due to large meteorological and hydrologic uncertainties. In particular, uncertainties in quantitative precipitation forecasts (QPF) and quantitative precipitation estimates (QPE) need to be taken into account to provide skillful flash flood warnings with increased warning lead time. In France, the AIGA discharge-threshold flood warning system is currently being enhanced to ingest high-resolution ensemble QPFs from convection-permitting numerical weather prediction (NWP) models, as well as probabilistic QPEs, to improve flash flood warnings for small-to-medium (from 10 to 1000 km²) ungauged basins. The current deterministic AIGA system is operational in the South of France since 2005. It ingests the operational radar-gauge QPE grids from Météo-France to run a simplified hourly distributed hydrologic model at a 1-km² resolution every 15 minutes (Javelle et al. 2014). This produces real-time peak discharge estimates along the river network, which are subsequently compared to regionalized flood frequency estimates of given return periods. Warnings are then provided to the French national hydro-meteorological and flood forecasting centre (SCHAPI) and regional flood forecasting offices, based on the estimated severity of ongoing events. The calibration and regionalization of the hydrologic model has been recently enhanced to implement an operational flash flood warning system for the entire French territory. To quantify the QPF uncertainty, the COSMO-DE-EPS rainfall ensembles from the Deutscher Wetterdienst (20 members at a 2.8-km resolution for a lead time of 21 hours), which are available on the North-eastern part of France, were ingested in the hydrologic model of the AIGA system. Streamflow ensembles were produced and probabilistic flash flood warnings were derived for the Meuse and Moselle river basins and

  10. Integrated warning system for tsunami and storm surges in China

    International Nuclear Information System (INIS)

    Yang Huating

    1989-01-01

    Tsunami and storm surges result in unusual oscillation of seal level, flooding the coastal zones and constitute the major marine disasters in China. Damage by storm surges occurs frequently. According to statistics there are 14 storm surge events exceeding 1 every year on the average. Six of them are typhoon surges and the other eight are extra-tropical surges. In general, in China, there is one severe disaster of storm surge every two years. Monitoring, forecasting and warning for storm surges, including the drop of water level, are the major part of the operational oceanographic services in China. Such a warning system has been set up and is operated by the State Oceanic Administration since 1974. The results of the historical study of tsunami in the last few years pointed out that the anomaly of sea level generated by tele-tsunamis originating in the Pacific Ocean Basin is less than 30 cm on the mainland coast, but local tsunami in the China Seas can be very dangerous. For example, more than 50,000 people were killed by a tsunami in Taiwan and in Taiwan Strait in 1781. It resulted in more deaths than any other tsunami in recorded history. However, the frequency of tsunami disaster is very low for the coast of China, averaging only one every 100 years. It is impossible to set up an independent tsunami warning system in China. It is more practical to set up an integrated warning system on tsunami and on storm surges consisting of: A sea level observing network with real time sea level data acquisition capability; A monitoring system of weather causing the storm surges and of seismic stations monitoring tsunamigenic earthquakes; A tidal prediction scheme for operational use; A forecasting scheme for storm surges and tsunami analysis; The means for warning dissemination. (author). 8 refs, 4 figs, 3 tabs

  11. A communication model for interlinking national tsunami early warning systems

    Science.gov (United States)

    Lendholt, M.; Hammitzsch, M.; Esbri Palomares, M. A.

    2012-04-01

    The integration of national Tsunami Early Earning Systems (TEWS) to ocean-wide networks is a main objective of the UNESCO Intergovernmental Oceanic Commission (IOC) tsunami programme. The intention is to interlink national TEWSs leveraging warning communication during hazards. For this purpose a communication model has been developed enabling an efficient message exchange within a centre-to-centre (C2C) communication in a system-of-systems environment. The model, designed to be robust and simple, is based on existing interoperability standards from the Open Geospatial Consortium (OGC) and the Organization of the Advancement of Structured Information Standards (OASIS). For the exchange of tsunami warning bulletins the Common Alerting Protocol (CAP) is used. It supports geospatial referencing by addressing geocoded Points of Interests (POIs), Areas of Interest (AOIs) and Coastal Forecast Zones (CFZs). Moreover it supports hazard classification by standardized criticality parameters and the transmission of attachments, e.g. situation maps. The communication model also supports the exchange of sensor observations and measurements such as sea level data or earthquake parameters. For this purpose markup languages of the Sensor Web Enablement (SWE) suite are used. Both communication products, warning bulletins and sensor observations, are embedded in an envelope providing addressing and routing information using the Emergency Data Exchange Language Distribution Element (EDXL-DE). The communication model has been implemented in a first pilot based on Message Oriented Middleware (MOM). Implementation, test and validation was started in the European research project Distant Early Warning System (DEWS) and is continued successively in the project Collaborative, Complex, and Critical Decision Processes in Evolving Crises (TRIDEC). Stimulated by the concepts and results of the German Indonesian Tsunami Early Warning System (GITEWS) and based on its sensor integration platform

  12. Vehicle Dynamics Approach to Driver Warning

    OpenAIRE

    Ghoneim, Youssef A.

    2013-01-01

    This paper discusses a concept for enhanced active safety by introducing a driver warning system based on vehicle dynamics that predicts a potential loss of control condition prior to stability control activation. This real-time warning algorithm builds on available technologies such as the Electronic Stability Control (ESC). The driver warning system computes several indices based on yaw rate, side-slip velocity, and vehicle understeer using ESC sensor suite. An arbitrator block arbitrates b...

  13. Monitoring and Warning of Landslides Based On Rainfall

    Science.gov (United States)

    Yudhbir, Y.

    Management issues of landslide hazards assume much greater significance in poorest segments of society living in landslide risk prone hilly areas in developing countries. Analysis of the temporal recurrence of landslides shows that disastrous events occur with a frequency higher than the social and economic capacity of these societies to recover from previous events. In the context of landslide hazard management in In- dian Himalayan states this problem assumes much greater significance. Majority of the population lives on hill slopes which experience repeated landsliding activity es- pecially during the summer monsoon rains. Considering the high cost of structural control measures and the lack of necessary spatial database in respect of Quaternary geology, detailed topography and geohydrology etc., there is an acute need to develop a monitoring and warning system which is economical, easy to operate and does not require high technological inputs. Since most of the landslides in these areas are triggered by high incidence of rain, it appears attractive to explore development of a monitoring and warning network based on critical rainfall intensity thresholds. Such an option for management of landslide hazards would also provide useful meteorological data required for assessment of wa- ter resources, soil loss due to erosion, agricultural practices and flood incidence. In this paper, available approaches to the prediction and warning of landslide based on rainfall data will be critically reviewed. Various criteria recommended in litera- ture for threshold rainfall values in rain induced ground movements/failures would be compared and these relationships will be contrasted with the limited data available for the Indian Himalayan landslides. A plan for a network of automatic rain gauges and a suitable warning system will be discussed.

  14. Communicating risk information and warnings

    Science.gov (United States)

    Mileti, D. S.

    1990-01-01

    Major advances have occurred over the last 20 years about how to effectively communicate risk information and warnings to the public. These lessons have been hard won. Knowledge has mounted on the finding from social scientific studies of risk communication failures, successes and those which fell somewhere in between. Moreover, the last 2 decades have borne witness to the brith, cultivation, and blossoming of information sharing between those physical scientists who discover new information about risk and those communcation scientists who trace its diffusion and then measure pbulic reaction. 

  15. Developing a NIDIS Drought Early Warning Information System for Coastal Ecosystems in the Carolinas

    Science.gov (United States)

    Darby, L. S.; Dow, K.; Lackstrom, K.; Brennan, A.; Tufford, D. L.; Conrads, P.; Pulwarty, R. S.; Webb, R. S.; Verdin, J. P.; Mcnutt, C. A.; Deheza, V.

    2013-12-01

    The National Integrated Drought Information System (NIDIS) is in the process of developing drought early warning systems in areas of the U.S. where the coordination of drought information is critically needed. These regional drought early warning systems will become the backbone of a national drought early warning information system. Plans for the first drought early warning system started in the fall of 2008 in the Upper Colorado River Basin (UCRB), with an initial focus on the water supply in the head waters region of the Colorado River and the impacts of changes in the water supply on the UCRB. Since the establishment of the UCRB drought early warning system, other regional programs have begun in the Apalachicola-Chattahoochee-Flint River Basin, four regions in the state of California, the Southern Plains, and the Four Corners region. (At this time these are considered pilot drought early warning programs, not full-fledged drought early warning systems such as the UCRB.) Activities in each of these regions are tailored to the needs of stakeholders, and all incorporate hydrometeorological predictions. However, in all of these areas NIDIS has not focused on the specific needs of coastal ecosystems during times of drought. Over the past year, NIDIS has started a pilot drought early warning system that addresses drought in the coastal ecosystems of North and South Carolina. This pilot is being developed in partnership with the Carolinas Integrated Sciences and Assessments (CISA), a NOAA Regional Sciences and Assessments program housed at the University of South Carolina. Currently the focus of the Carolinas pilot includes the promotion of enhanced drought impact reporting to better understand the impacts of low flows on coastal ecosystems and the development of a USGS real-time salinity network for a few coastal gage stations in the Carolinas. The roles of the enhanced drought impact assessments in coastal ecosystems and the knowledge gained from a real

  16. Crisis management and warning procedures

    Directory of Open Access Journals (Sweden)

    Valérie November

    2009-03-01

    territoriale du risque s’avère nécessaire.Based on two flood events that recently affected new housing areas in very different political, organisational and hydrological contexts, this article examines the practices of actors involved in emergency and crisis situations in Switzerland. In both cases, the actors are identified – through their role and their position in the various procedures related to crisis management – and an inventory is made of the documents used. The study examines how the flood events were managed, identifies the organisational changes that followed the crises, and determines how the risk was conceived and to what extent it was formalised by the different actors both before and after the floods. Finally new forecasting and warning procedures that were set up following the events are described. The study shows that floods have a decisive impact on the production of knowledge, but that this phenomenon varies according to the actors. Events such as floods also sometimes reveal the existence of "latent" knowledge, or knowledge that is available but has not yet been integrated into institutional procedures. In terms of both forecasting and crisis management, these events also provide the opportunity to test information channels and to identify and correct any problems relating to organisation, cooperation or the reliability of means of communication. Among other things, the risks and crises related to flooding modify the dynamics and policies of the local area as a result of readjustments in the networks of actors. The introduction of emergency and crisis management measures appears more effective, however, than the reorganisation of planning and development procedures, a process which generally takes a lot longer. Nevertheless, since the recollection of events tends to fade with time, it is important that risks find a more concrete form of spatial expression on the landscape.

  17. 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.

  18. Pictorial warnings on cigarette packets: Effectiveness and ...

    African Journals Online (AJOL)

    pictorial warnings and their ability to reduce the prevalence of cigarette smoking among youth in Egypt. Through semi-structured in-depth interviews with a sample of cigarette smokers, the research argues that various social, cultural, and economic factors constrain the effectiveness of pictorial warnings. A key finding is that ...

  19. Radiation warning system in Slovenia (ROSS)

    International Nuclear Information System (INIS)

    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

  20. Smartphone MEMS accelerometers and earthquake early warning

    Science.gov (United States)

    Kong, Q.; Allen, R. M.; Schreier, L.; Kwon, Y. W.

    2015-12-01

    The low cost MEMS accelerometers in the smartphones are attracting more and more attentions from the science community due to the vast number and potential applications in various areas. We are using the accelerometers inside the smartphones to detect the earthquakes. We did shake table tests to show these accelerometers are also suitable to record large shakings caused by earthquakes. We developed an android app - MyShake, which can even distinguish earthquake movements from daily human activities from the recordings recorded by the accelerometers in personal smartphones and upload trigger information/waveform to our server for further analysis. The data from these smartphones forms a unique datasets for seismological applications, such as earthquake early warning. In this talk I will layout the method we used to recognize earthquake-like movement from single smartphone, and the overview of the whole system that harness the information from a network of smartphones for rapid earthquake detection. This type of system can be easily deployed and scaled up around the global and provides additional insights of the earthquake hazards.

  1. Alcohol Warning Label Perceptions: Do Warning Sizes and Plain Packaging Matter?

    Science.gov (United States)

    Al-Hamdani, Mohammed; Smith, Steven M

    2017-01-01

    There is a dearth of research on the effectiveness of stringent alcohol warning labels. Our experiment tested whether increasing the size of an alcohol health warning lowers product-based ratings. We examined whether plain packaging lowers ratings of alcohol products and the consumers who use them, increases ratings of bottle "boringness," and enhances warning recognition compared with branded packaging. A total of 440 adults (51.7% female) viewed one of three warning sizes (50%, 75%, or 90% of label surface) on either a plain or branded bottle of distilled spirits, wine, and beer. Participants also rated alcohol bottles on product-based (assessing the product itself), consumer-based (assessing perceptions of consumers of the product), and bottle boringness ratings, and then attempted to recognize the correct warning out of four choices. As expected, the size of warning labels lowered product-based ratings. Similarly, plain packaging lowered product-based and consumer-based ratings and increased bottle boringness but only for wine bottles. Further, plain packaging increased the odds of warning recognition on bottles of distilled spirits. This study shows that plain packaging and warning size (similar to the graphic warnings on cigarette packages) affect perceptions about alcohol bottles. It also shows that plain packaging increases the likelihood for correct health warning recognition, which builds the case for alcohol warning and packaging research and policy.

  2. 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.

  3. 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.

  4. GEOFON, GITEWS and the Indian Ocean Tsunami Warning System

    Science.gov (United States)

    Hanka, W.; Saul, J.; Hoffmann, T. L.

    2008-12-01

    After the Mw=9.3 Sumatra earthquake of December 26, 2004, which generated a tsunami that affected the entire Indian Ocean region and caused approximately 230,000 fatalities, the German government funded the German Indian Ocean Tsunami Early Warning System (GITEWS) Project. The GEOFON group of GFZ Potsdam was nominated to develop and implement the seismological component of the GITEWS system. This poster presentation describes the concept of the GITEWS Earthquake Monitoring System (EMS) and reports on its present status and progress of implementation. The major challenge for an EMS within a tsunami warning system is to determine earthquake source parameters in terms of location, size and possibly rupture propagation as quickly as possible, in order to allow counter measures before a potential tsunami may hit coastal areas. Tsunamigenic earthquakes usually occur along subduction zones, which are often close to coastal lines. In the Indian Ocean this is particularly true for the Sunda Trench off the shore of Indonesia and the Macran subduction zone off the shore of Iran. For an Indian Ocean monitoring system where short warning times are a requirement, a dense real-time network of seismic stations in Indonesia is therefore essential. It must be supplemented by a substantial number of stations in other countries surrounding the Indian Ocean. International cooperation and real-time data exchange across political boundaries are essential for successful tsunami warning in the Indian Ocean region. Within the GITEWS project, up to 40 new broadband and strong motion stations are being installed in the Indian Ocean region until 2010. Up to 22 new stations are set up in Indonesia and another 18 stations distributed over Sri Lanka, Maldives, Yemen, Kenya, Tanzania, Madagascar and Israel. Real-time communication is provided by private VSAT communication systems. Another challenging task within the GITEWS project is the design and implementation of efficient and fast acquisition

  5. 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

  6. 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...

  7. Monitor III

    International Nuclear Information System (INIS)

    Grisham, D.L.; Lambert, J.E.

    1986-01-01

    Monitor III is a totally portable version of the Monitor I and II systems in use at the Clinton P. Anderson Meson Physics Facility (LAMPF) since 1976. The Monitor III system differs from the other systems in that it is capable of operating in any location accessible by truck. Although Monitor III was designed primarily for the handling and disposal of radioactive materials, it is also capable of performing the more sophisticated operations normally performed by the other Monitor systems. The development and operational capabilities of the Monitor remote handling system have been thoroughly reported since 1978. This paper reports on the commissioning of a new system with unique capabilities

  8. Vehicle Dynamics Approach to Driver Warning

    Directory of Open Access Journals (Sweden)

    Youssef A. Ghoneim

    2013-01-01

    Full Text Available This paper discusses a concept for enhanced active safety by introducing a driver warning system based on vehicle dynamics that predicts a potential loss of control condition prior to stability control activation. This real-time warning algorithm builds on available technologies such as the Electronic Stability Control (ESC. The driver warning system computes several indices based on yaw rate, side-slip velocity, and vehicle understeer using ESC sensor suite. An arbitrator block arbitrates between the different indices and determines the status index of the driving vehicle. The status index is compared to predetermined stability levels which correspond to high and low stability levels. If the index exceeds the high stability level, a warning signal (haptic, acoustic, or visual is issued to alert the driver of a potential loss of control and ESC activation. This alert will remain in effect until the index is less than the low stability level at which time the warning signal will be terminated. A vehicle speed advisory algorithm is integrated with the warning algorithm to provide a desired vehicle speed of a vehicle traveling on a curve. Simulation results and vehicle tests were conducted to illustrate the effectiveness of the warning algorithm.

  9. Are the warning icons more attentional?

    Science.gov (United States)

    Tao, Jin; Yafeng, Niu; Lei, Zhou

    2017-11-01

    The rapid growth of attention to visual warnings is a representation of the adaptive behavior of humans. However, the ways warning icons attract attention in the cognition context has yet to be clarified. This research aims to investigate cognitive mechanism of warning icons under various perceptual loads. The results of Experiment A, whose average attentional capture effect of the warning icons (69 ms) was significantly higher than that of the ordinary icons (35 ms), show that compared with ordinary icons, warning icons are prioritized in processing under both high and low perceptual loads. Besides, the attention capturing abilities of non-target warning icons are the same under high and low perceptual loads. To isolate the effects of salient visual features and semantics, warning icons in Experiment B are replaced with transposed icons with saliency but no semantics. The attentional capture effect of warning icons is found to be significantly smaller under high load than under low load, so the effect in Experiment A can be attributed to the semantics of warning icons. In Experiment C the icons of negative and neutral semantics without salient frames are used as interfering stimuli, and the RT to the negative icons (823 ms) was longer than both the RT to the neutral icons (780 ms) and to the no interference icons (743 ms) (P icons have stronger attention capturing ability than neutral icons. This research verifies that the semantics of icons is vital, and icons with salient visual features and negative semantics can enhance attentional capture effect. Copyright © 2017 Elsevier Ltd. All rights reserved.

  10. 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)

  11. NEAR REAL-TIME DETERMINATION OF EARTHQUAKE SOURCE PARAMETERS FOR TSUNAMI EARLY WARNING FROM GEODETIC OBSERVATIONS

    Directory of Open Access Journals (Sweden)

    S. Manneela

    2016-06-01

    Full Text Available Exemplifying the tsunami source immediately after an earthquake is the most critical component of tsunami early warning, as not every earthquake generates a tsunami. After a major under sea earthquake, it is very important to determine whether or not it has actually triggered the deadly wave. The near real-time observations from near field networks such as strong motion and Global Positioning System (GPS allows rapid determination of fault geometry. Here we present a complete processing chain of Indian Tsunami Early Warning System (ITEWS, starting from acquisition of geodetic raw data, processing, inversion and simulating the situation as it would be at warning center during any major earthquake. We determine the earthquake moment magnitude and generate the centroid moment tensor solution using a novel approach which are the key elements for tsunami early warning. Though the well established seismic monitoring network, numerical modeling and dissemination system are currently capable to provide tsunami warnings to most of the countries in and around the Indian Ocean, the study highlights the critical role of geodetic observations in determination of tsunami source for high-quality forecasting.

  12. Study of Water Pollution Early Warning Framework Based on Internet of Things

    Science.gov (United States)

    Chengfang, H.; Xiao, X.; Dingtao, S.; Bo, C.; Xiongfei, W.

    2016-06-01

    In recent years, with the increasing world environmental pollution happening, sudden water pollution incident has become more and more frequently in China. It has posed a serious threat to water safety of the people living in the water source area. Conventional water pollution monitoring method is manual periodic testing, it maybe miss the best time to find that pollution incident. This paper proposes a water pollution warning framework to change this state. On the basis of the Internet of things, we uses automatic water quality monitoring technology to realize monitoring. We calculate the monitoring data with water pollution model to judge whether the water pollution incident is happen or not. Water pollution warning framework is divided into three layers: terminal as the sensing layer, it with the deployment of the automatic water quality pollution monitoring sensor. The middle layer is the transfer network layer, data information implementation is based on GPRS wireless network transmission. The upper one is the application layer. With these application systems, early warning information of water pollution will realize the high-speed transmission between grassroots units and superior units. The paper finally gives an example that applying this pollution warning framework to water quality monitoring of Beijing, China, it greatly improves the speed of the pollution warning responding of Beijing.

  13. STUDY OF WATER POLLUTION EARLY WARNING FRAMEWORK BASED ON INTERNET OF THINGS

    Directory of Open Access Journals (Sweden)

    H. Chengfang

    2016-06-01

    Full Text Available In recent years, with the increasing world environmental pollution happening, sudden water pollution incident has become more and more frequently in China. It has posed a serious threat to water safety of the people living in the water source area. Conventional water pollution monitoring method is manual periodic testing, it maybe miss the best time to find that pollution incident. This paper proposes a water pollution warning framework to change this state. On the basis of the Internet of things, we uses automatic water quality monitoring technology to realize monitoring. We calculate the monitoring data with water pollution model to judge whether the water pollution incident is happen or not. Water pollution warning framework is divided into three layers: terminal as the sensing layer, it with the deployment of the automatic water quality pollution monitoring sensor. The middle layer is the transfer network layer, data information implementation is based on GPRS wireless network transmission. The upper one is the application layer. With these application systems, early warning information of water pollution will realize the high-speed transmission between grassroots units and superior units. The paper finally gives an example that applying this pollution warning framework to water quality monitoring of Beijing, China, it greatly improves the speed of the pollution warning responding of Beijing.

  14. Recasting the warning-response problem

    DEFF Research Database (Denmark)

    Meyer, C.O.; Otto, F.; Brante, J.

    2010-01-01

    The paper takes stock of the debate about the so-called warning-response-gap regarding armed conflict within states. It argues that while the existing literature has focused strongly on "better prediction," it has neglected the analysis of the conditions under which warnings are being noticed......, accepted, prioritized and responded to by policy-makers. This has led to a simplistic understanding of how communicative, cognitive and political processes involving a range of actors can influence both the perception as well as the response to warnings. The paper also criticizes that many normative...

  15. Viewing alcohol warning advertising reduces urges to drink in young adults: an online experiment

    Directory of Open Access Journals (Sweden)

    Kaidy Stautz

    2016-07-01

    Full Text Available Abstract Background Tobacco counter-advertising is effective at promoting smoking cessation. Few studies have evaluated the impact of alcohol warning advertising on alcohol consumption and possible mechanisms of effect. This pilot study aimed to assess whether alcohol warning advertising is effective in reducing urges to drink alcohol, if emotional responses to advertising explain any such effect or perceived effectiveness, and whether effects differ among heavier drinkers. Methods One hundred fifty-two young adult (aged 18–25 alcohol users completed an online experiment in which they were randomly assigned to view one of three sets of six advertisements: (i alcohol warning; (ii alcohol promoting; or (iii advertisements for non-alcohol products. Urges to drink alcohol were self-reported post-exposure. Affective responses (pleasure and arousal to each advertisement and perceived effectiveness of each advertisement were recorded. Typical level of alcohol consumption was measured as a potential effect modifier. Results Participants exposed to alcohol warning advertisements reported significantly lower urges to drink alcohol than those who viewed either alcohol promoting or non-alcohol advertisements. This effect was fully mediated by negative affective responses (displeasure to the alcohol warning advertisements. Perceived effectiveness of alcohol warning advertisements was associated with high arousal responses. Impact of the advertisements was unaffected by typical level of alcohol consumption, although the study was not powered to detect anything other than large effects. Conclusions In line with findings from the tobacco literature, alcohol warning advertisements that elicit negative affect reduce urges to drink alcohol. Their impact upon actual consumption awaits investigation.

  16. Hydrologic ensembles based on convection-permitting precipitation nowcasts for flash flood warnings

    Science.gov (United States)

    Demargne, Julie; Javelle, Pierre; Organde, Didier; de Saint Aubin, Céline; Ramos, Maria-Helena

    2017-04-01

    In order to better anticipate flash flood events and provide timely warnings to communities at risk, the French national service in charge of flood forecasting (SCHAPI) is implementing a national flash flood warning system for small-to-medium ungauged basins. Based on a discharge-threshold flood warning method called AIGA (Javelle et al. 2014), the current version of the system runs a simplified hourly distributed hydrologic model with operational radar-gauge QPE grids from Météo-France at a 1-km2 resolution every 15 minutes. This produces real-time peak discharge estimates along the river network, which are subsequently compared to regionalized flood frequency estimates to provide warnings according to the AIGA-estimated return period of the ongoing event. To further extend the effective warning lead time while accounting for hydrometeorological uncertainties, the flash flood warning system is being enhanced to include Météo-France's AROME-NWC high-resolution precipitation nowcasts as time-lagged ensembles and multiple sets of hydrological regionalized parameters. The operational deterministic precipitation forecasts, from the nowcasting version of the AROME convection-permitting model (Auger et al. 2015), were provided at a 2.5-km resolution for a 6-hr forecast horizon for 9 significant rain events from September 2014 to June 2016. The time-lagged approach is a practical choice of accounting for the atmospheric forecast uncertainty when no extensive forecast archive is available for statistical modelling. The evaluation on 781 French basins showed significant improvements in terms of flash flood event detection and effective warning lead-time, compared to warnings from the current AIGA setup (without any future precipitation). We also discuss how to effectively communicate verification information to help determine decision-relevant warning thresholds for flood magnitude and probability. Javelle, P., Demargne, J., Defrance, D., Arnaud, P., 2014. Evaluating

  17. CISN Earthquake Early Warning: ShakeAlert Hybrid Branch

    Science.gov (United States)

    Brown, H.; Lim, I.; Allen, R. M.; Böse, M.; Cua, G. B.; Heaton, T. H.; Cisn Earthquake Early Warning Project Team

    2010-12-01

    The California Integrated Seismic Network (CISN) is developing an integrated, statewide earthquake early warning (EEW) system for California. In summer 2009 the CISN completed a three-year proof-of-concept study, analyzing three EEW algorithms for viability in California: (1) Onsite, run by the California Institute of Technology, (2) Virtual Seismologist, run by the Swiss Seismological Service, and (3) ElarmS, run by the University of California at Berkeley. The study successfully detected earthquakes and accurately predicted the resulting ground shaking. As of December 2010 the CISN EEW team is halfway through a second three-year project to build an end-to-end prototype early warning system capable of delivering warning to a small group of test users. This new system is called CISN ShakeAlert. An area of ongoing research is the Hybrid Branch: a new, integrated algorithm to calculate event magnitude and location in realtime. The Hybrid Branch takes advantage of the best aspects of each of the original test algorithms. The Hybrid Branch will be able to rapidly recognize and assess an event using only a single station’s P-wave data, as OnSite does, but it will also combine data from multiple stations in a network-based approach, as Virtual Seismologist and ElarmS do. This will give the Hybrid Branch the speed of a single-station EEW method with the reliability of a multi-station method. One of the challenges of the Hybrid Branch is how to progress from a single station description of a given event to a multi-station view of the same event. The authors use a Bayesian approach to combine event information and adapt to changing data availability. Output from the Hybrid Branch will be sent to the ShakeAlert Decision Module, which consolidates event information from a variety of sources and generates earthquake alerts.

  18. What Are the Warning Signs of Stroke?

    Science.gov (United States)

    ... Cardiovascular Conditions What Are the Warning Signs of Stroke? Brain tissue affected by blockage Stroke is the fifth leading cause of death in ... over 55 years old have more chance of stroke, and the risk gets greater as you get ...

  19. 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.

  20. Networking

    OpenAIRE

    Rauno Lindholm, Daniel; Boisen Devantier, Lykke; Nyborg, Karoline Lykke; Høgsbro, Andreas; Fries, de; Skovlund, Louise

    2016-01-01

    The purpose of this project was to examine what influencing factor that has had an impact on the presumed increasement of the use of networking among academics on the labour market and how it is expressed. On the basis of the influence from globalization on the labour market it can be concluded that the globalization has transformed the labour market into a market based on the organization of networks. In this new organization there is a greater emphasis on employees having social qualificati...

  1. A proposed warning scheme for Philippine communities in case of severe radiological accidents in neighbor countries

    International Nuclear Information System (INIS)

    de la Paz, L.R.

    1986-01-01

    The Chernobyl accident in the Ukraine triggered a re-study of the emergency response planning of countries with nuclear power plants as well as those with no plans to put up such plants. As in the Philippines, the proposed early warning system is composed of 1) prompt notification following quidelines established through a bilateral agreement or through an international convention agreed upon by member staes of IAEA, and 2) placement of a continuous radiation monitor in Northern Luzon (Laoag City or Aparri). Early notification network details are given in an illustrated form. The paper also proposes warning classification for the Philippine authorities. (ELC). 3 figs

  2. 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.

  3. 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

    hazard assessment and emergency response. Great importance is attached to the scientific understanding of hazards and protective structures, while analysis of socio-economic impacts and risk assessment are not considered enough. The reduction of vulnerability has to be taken into greater account. Also the information needs of different stakeholders have to be identified at an early stage and should be integrated in the development of early warning systems. The content of the warning message must be simple, understandable and should cover instructions on how to react. Further the timeliness of the messages has to be guarented. In this context the aim of the landslide monitoring and early warning system SLEWS (Sensor Based Landslide Early Warning System) is to integrate the above mentioned aspects of a holistic disaster and risk management. The technology of spatial data infrastructures and web services provides the use of multiple communication channels within an early warning system. Thus people-centred early warning messages and information about slope stability can be sent in nearly real-time. It has to be underlined that the technological information process is just one element of an effective warning system. Moreover the warning system has also to be considered as a social system and has to make allowance to socio-economic and gender aspects : «[...] Develop early warning systems that are people centered, in particular systems whose warnings are timely and understandable to those at risk, which take into account the demographic, gender, cultural and livelihood characteristics of the target audiences, including guidance on how to act upon warnings, and that support effective operations by disaster managers and other decision makers » (Hyogo Framework, 2005) References : UNITED NATIONS INTERNATIONAL STRATEGY FOR DISASTER REDUCTION SECRETARIAT (UNISDR) (2006): Developing early warning systems: a checklist, Third international conference on early warning (EWC III

  4. Richard III

    DEFF Research Database (Denmark)

    Lauridsen, Palle Schantz

    2017-01-01

    Kort analyse af Shakespeares Richard III med fokus på, hvordan denne skurk fremstilles, så tilskuere (og læsere) langt henad vejen kan føle sympati med ham. Med paralleller til Netflix-serien "House of Cards"......Kort analyse af Shakespeares Richard III med fokus på, hvordan denne skurk fremstilles, så tilskuere (og læsere) langt henad vejen kan føle sympati med ham. Med paralleller til Netflix-serien "House of Cards"...

  5. Smartphone-Based Earthquake and Tsunami Early Warning in Chile

    Science.gov (United States)

    Brooks, B. A.; Baez, J. C.; Ericksen, T.; Barrientos, S. E.; Minson, S. E.; Duncan, C.; Guillemot, C.; Smith, D.; Boese, M.; Cochran, E. S.; Murray, J. R.; Langbein, J. O.; Glennie, C. L.; Dueitt, J.; Parra, H.

    2016-12-01

    Many locations around the world face high seismic hazard, but do not have the resources required to establish traditional earthquake and tsunami warning systems (E/TEW) that utilize scientific grade seismological sensors. MEMs accelerometers and GPS chips embedded in, or added inexpensively to, smartphones are sensitive enough to provide robust E/TEW if they are deployed in sufficient numbers. We report on a pilot project in Chile, one of the most productive earthquake regions world-wide. There, magnitude 7.5+ earthquakes occurring roughly every 1.5 years and larger tsunamigenic events pose significant local and trans-Pacific hazard. The smartphone-based network described here is being deployed in parallel to the build-out of a scientific-grade network for E/TEW. Our sensor package comprises a smartphone with internal MEMS and an external GPS chipset that provides satellite-based augmented positioning and phase-smoothing. Each station is independent of local infrastructure, they are solar-powered and rely on cellular SIM cards for communications. An Android app performs initial onboard processing and transmits both accelerometer and GPS data to a server employing the FinDer-BEFORES algorithm to detect earthquakes, producing an acceleration-based line source model for smaller magnitude earthquakes or a joint seismic-geodetic finite-fault distributed slip model for sufficiently large magnitude earthquakes. Either source model provides accurate ground shaking forecasts, while distributed slip models for larger offshore earthquakes can be used to infer seafloor deformation for local tsunami warning. The network will comprise 50 stations by Sept. 2016 and 100 stations by Dec. 2016. Since Nov. 2015, batch processing has detected, located, and estimated the magnitude for Mw>5 earthquakes. Operational since June, 2016, we have successfully detected two earthquakes > M5 (M5.5, M5.1) that occurred within 100km of our network while producing zero false alarms.

  6. Proceedings of the Thunder and Lighting Seminar and The 3D lightning Warning Workship Held in Las Cruces, New Mexico on February 27, 1990.

    Science.gov (United States)

    1993-02-01

    AD-A262 766 __.,,~o,,,,.g,•.,.___,,III 1111 i ~ 11 111111 -u Range mm mwCommfinanders mm Amw Council PROCEEDINGS OF THE 1990 THUNDER AND LIGHTNING ...February 1993 Proceedings of The 1990 Thunder and Lightning Seminar anu The 3d Lightning Warning Workshop Meteorology Groui Range Commanders Council...detection, lightning warning systems 262 UNCLASSIFIED UNCLASSIFIED UNCLASSIFIED UNCLASSIFIED PROCEEDINGS OF THE 1990 THUNDER AND LIGHTNING SEMINAR

  7. 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.

  8. Towards an Earthquake and Tsunami Early Warning in the Caribbean

    Science.gov (United States)

    Huerfano Moreno, V. A.; Vanacore, E. A.

    2017-12-01

    The Caribbean region (CR) has a documented history of large damaging earthquakes and tsunamis that have affected coastal areas, including the events of Jamaica in 1692, Virgin Islands in 1867, Puerto Rico in 1918, the Dominican Republic in 1946 and Haiti in 2010. There is clear evidence that tsunamis have been triggered by large earthquakes that deformed the ocean floor around the Caribbean Plate boundary. The CR is monitored jointly by national/regional/local seismic, geodetic and sea level networks. All monitoring institutions are participating in the UNESCO ICG/Caribe EWS, the purpose of this initiative is to minimize loss of life and destruction of property, and to mitigate against catastrophic economic impacts via promoting local research, real time (RT) earthquake, geodetic and sea level data sharing and improving warning capabilities and enhancing education and outreach strategies. Currently more than, 100 broad-band seismic, 65 sea levels and 50 GPS high rate stations are available in real or near real-time. These real-time streams are used by Local/Regional or Worldwide detection and warning institutions to provide earthquake source parameters in a timely manner. Currently, any Caribbean event detected to have a magnitude greater than 4.5 is evaluated, and sea level is measured, by the TWC for tsumanigenic potential. The regional cooperation is motivated both by research interests as well as geodetic, seismic and tsunami hazard monitoring and warning. It will allow the imaging of the tectonic structure of the Caribbean region to a high resolution which will consequently permit further understanding of the seismic source properties for moderate and large events and the application of this knowledge to procedures of civil protection. To reach its goals, the virtual network has been designed following the highest technical standards: BB sensors, 24 bits A/D converters with 140 dB dynamic range, real-time telemetry. Here we will discuss the state of the PR

  9. Predictions of flood warning threshold exceedance computed with logistic regression

    Science.gov (United States)

    Diomede, Tommaso; Marsigli, Chiara; Stefania Tesini, Maria

    2017-04-01

    A method based on logistic regression is proposed for the prediction of river level threshold exceedance at different lead times (from +6h up to +42h). The aim of the study is to provide a valuable tool for the issue of warnings by the authority responsible of public safety in case of flood. The role of different precipitation periods as predictors for the exceedance of a fixed river level has been investigated, in order to derive significant information for flood forecasting. Based on catchment-averaged values, a separation of "antecedent" and "peak-triggering" rainfall amounts as independent variables is attempted. In particular, the following flood-related precipitation periods have been considered: (i) the period from 1 to n days before the forecast issue time, which may be relevant for the soil saturation ("state of the catchment"), (ii) the last 24 hours, which may be relevant for the current water level in the river ("state of the river"), and (iii) the period from 0 to x hours in advance with respect to the forecast issue time, when the flood-triggering precipitation generally occurs ("state of the atmosphere"). Several combinations and values of these predictors have been tested to optimise the method implementation. In particular, the period for the precursor antecedent precipitation ranges between 5 and 45 days; the current "state of the river" can be represented by the last 24-h precipitation or, as alternative, by the current river level. The flood-triggering precipitation has been cumulated over the next 18-42 hours, or the previous 6-12h, according to the forecast lead time. The proposed approach requires a specific implementation of logistic regression for each river section and warning threshold. The method performance has been evaluated over several catchments in the Emilia-Romagna Region, northern Italy, which dimensions range from 100 to 1000 km2. A statistical analysis in terms of false alarms, misses and related scores was carried out by using

  10. 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

  11. Instructors' Use of Trigger Warnings and Behavior Warnings in Abnormal Psychology

    Science.gov (United States)

    Boysen, Guy A.; Wells, Anna Mae; Dawson, Kaylee J.

    2016-01-01

    College students have been increasingly demanding warnings and accommodations in relation to course topics they believe will elicit strong, negative emotions. These "trigger warnings" are highly relevant to Abnormal Psychology because of the sensitive topics covered in the course (e.g., suicide, trauma, sex). A survey of Abnormal…

  12. 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

  13. 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

  14. Tsunami early warning and decision support

    Directory of Open Access Journals (Sweden)

    T. Steinmetz

    2010-09-01

    Full Text Available An innovative newly developed modular and standards based Decision Support System (DSS is presented which forms part of the German Indonesian Tsunami Early Warning System (GITEWS. The GITEWS project stems from the effort to implement an effective and efficient Tsunami Early Warning and Mitigation System for the coast of Indonesia facing the Sunda Arc along the islands of Sumatra, Java and Bali. The geological setting along an active continental margin which is very close to densely populated areas is a particularly difficult one to cope with, because potential tsunamis' travel times are thus inherently short. National policies require an initial warning to be issued within the first five minutes after an earthquake has occurred. There is an urgent requirement for an end-to-end solution where the decision support takes the entire warning chain into account. The system of choice is based on pre-computed scenario simulations and rule-based decision support which is delivered to the decision maker through a sophisticated graphical user interface (GUI using information fusion and fast information aggregation to create situational awareness in the shortest time possible. The system also contains risk and vulnerability information which was designed with the far end of the warning chain in mind – it enables the decision maker to base his acceptance (or refusal of the supported decision also on regionally differentiated risk and vulnerability information (see Strunz et al., 2010. While the system strives to provide a warning as quickly as possible, it is not in its proper responsibility to send and disseminate the warning to the recipients. The DSS only broadcasts its messages to a dissemination system (and possibly any other dissemination system which is operated under the responsibility of BMKG – the meteorological, climatological and geophysical service of Indonesia – which also hosts the tsunami early warning center. The system is to be seen

  15. Important characteristics of warning displays on alcohol containers.

    Science.gov (United States)

    Malouff, J; Schutte, N; Wiener, K; Brancazio, C; Fish, D

    1993-07-01

    Four studies examined the federally mandated warning on alcohol containers, which is required by law to be "located in a conspicuous and prominent place." In all four studies few of the drinkers could recall the main parts of the warnings, even though the warning had been required on all alcohol containers for over two years. In Study 1, 44 adults looked at the warning on various beer containers and 77% thought that the warning was not conspicuous but could be made conspicuous through various changes, such as by printing the warning horizontally (parallel to the brand name) rather than vertically. In Study 2, 50 adults looked at the warning placed horizontally on one beer can and vertically on a similar can and rated the horizontal warning significantly more conspicuous. In Study 3, 44 adults spent several minutes in a simulated drinking atmosphere. Half the subjects had beer cans with a horizontal warning and half had a vertical warning. The subjects with the horizontal warning later showed significantly better awareness/recall of the warning. In Study 4, with 75 adult subjects in a bar, the half of the subjects prompted to notice the alcohol warning drank less thereafter in the bar than the other subjects. The findings of the series of studies suggest that the conspicuousness of health warnings on alcohol containers tends to influence their possible effectiveness.

  16. Tsunami Warning Services for the U.S. and Canadian Atlantic Coasts

    Science.gov (United States)

    Whitmore, P. M.; Knight, W.

    2008-12-01

    In January 2005, the National Oceanic and Atmospheric Administration (NOAA) developed a tsunami warning program for the U.S. Atlantic and Gulf of Mexico coasts. Within a year, this program extended further to the Atlantic coast of Canada and the Caribbean Sea. Warning services are provided to U.S. and Canadian coasts (including Puerto Rico and the Virgin Islands) by the NOAA/West Coast and Alaska Tsunami Warning Center (WCATWC) while the NOAA/Pacific Tsunami Warning Center (PTWC) provides services for non-U.S. entities in the Caribbean Basin. The Puerto Rico Seismic Network (PRSN) is also an active partner in the Caribbean Basin warning system. While the nature of the tsunami threat in the Atlantic Basin is different than in the Pacific, the warning system philosophy is similar. That is, initial messages are based strictly on seismic data so that information is provided to those at greatest risk as fast as possible while supplementary messages are refined with sea level observations and forecasts when possible. The Tsunami Warning Centers (TWCs) acquire regional seismic data through many agencies, such as the United States Geological Survey, Earthquakes Canada, regional seismic networks, and the PRSN. Seismic data quantity and quality are generally sufficient throughout most of the Atlantic area-of-responsibility to issue initial information within five minutes of origin time. Sea level data are mainly provided by the NOAA/National Ocean Service. Coastal tide gage coverage is generally denser along the Atlantic coast than in the Pacific. Seven deep ocean pressure sensors (DARTs), operated by the National Weather Service (NWS) National Data Buoy Center, are located in the Atlantic Basin (5 in the Atlantic Ocean, 1 in the Caribbean, and 1 in the Gulf of Mexico). The DARTs provide TWCs with the means to verify tsunami generation in the Atlantic and provide critical data with which to calibrate forecast models. Tsunami warning response criteria in the Atlantic Basin

  17. Effective early warning systems for new and emerging health technologies: developing an evaluation framework and an assessment of current systems.

    Science.gov (United States)

    Murphy, Kieran; Packer, Claire; Stevens, Andrew; Simpson, Sue

    2007-01-01

    The aim of this study was to define an effective early warning system, to identify and rank the characteristics of an effective early warning system for emerging health technologies, and to evaluate current early warning systems against these characteristics. An iterative Delphi-type process with the thirteen members of the International Information Network on New and Changing Health Technologies (EuroScan). We synthesized key characteristics that network members had graded. Members were then asked whether these characteristics were present or fulfilled in their system. The definition of an effective early warning system developed was the following: a system that identifies innovations in the field of health technology likely to have a significant impact; and disseminates information relevant to the needs of the customer which is timely, so as to enable appropriate decision making (such as resource allocation), facilitate appropriate adoption, and identify further research requirements. Five primary and eleven secondary components of effective early warning systems were identified. The five primary characteristics concerned relevance, independence, resourcing, a clear pathway for the outputs to reach decision makers, and defined customers. Although the primary characteristics were present or fulfilled to some extent in the majority of evaluated early warning systems, there was considerable variability in the presence of the secondary characteristics in the evaluated systems. Our study provides a definition for an effective early warning system and a shared understanding of the important characteristics and components of such systems. This work should provide guidance to those setting up new early warning systems as well as for those managing and reviewing current systems.

  18. Fermilab III

    International Nuclear Information System (INIS)

    Anon.

    1990-01-01

    The total ongoing plans for Fermilab are wrapped up in the Fermilab III scheme, centrepiece of which is the proposal for a new Main Injector. The Laboratory has been awarded a $200,000 Illinois grant which will be used to initiate environmental assessment and engineering design of the Main Injector, while a state review panel recommended that the project should also benefit from $2 million of funding

  19. Real-time earthquake monitoring for tsunami warning in the Indian Ocean and beyond

    Science.gov (United States)

    Hanka, W.; Saul, J.; Weber, B.; Becker, J.; Harjadi, P.; Fauzi; Gitews Seismology Group

    2010-12-01

    The Mw = 9.3 Sumatra earthquake of 26 December 2004 generated a tsunami that affected the entire Indian Ocean region and caused approximately 230 000 fatalities. In the response to this tragedy the German government funded the German Indonesian Tsunami Early Warning System (GITEWS) Project. The task of the GEOFON group of GFZ Potsdam was to develop and implement the seismological component. In this paper we describe the concept of the GITEWS earthquake monitoring system and report on its present status. The major challenge for earthquake monitoring within a tsunami warning system is to deliver rapid information about location, depth, size and possibly other source parameters. This is particularly true for coast lines adjacent to the potential source areas such as the Sunda trench where these parameters are required within a few minutes after the event in order to be able to warn the population before the potential tsunami hits the neighbouring coastal areas. Therefore, the key for a seismic monitoring system with short warning times adequate for Indonesia is a dense real-time seismic network across Indonesia with densifications close to the Sunda trench. A substantial number of supplementary stations in other Indian Ocean rim countries are added to strengthen the teleseismic monitoring capabilities. The installation of the new GITEWS seismic network - consisting of 31 combined broadband and strong motion stations - out of these 21 stations in Indonesia - is almost completed. The real-time data collection is using a private VSAT communication system with hubs in Jakarta and Vienna. In addition, all available seismic real-time data from the other seismic networks in Indonesia and other Indian Ocean rim countries are acquired also directly by VSAT or by Internet at the Indonesian Tsunami Warning Centre in Jakarta and the resulting "virtual" network of more than 230 stations can jointly be used for seismic data processing. The seismological processing software as part

  20. A SDMS Model: Early Warning Coordination Centres

    Science.gov (United States)

    Santos-Reyes, Jaime

    2010-05-01

    Following the tsunami disaster in 2004, the General Secretary of the United Nations (UN) Kofi Annan called for a global early warning system for all hazards and for all communities. He also requested the ISDR (International Strategy fort Disaster Reduction) and its UN partners to conduct a global survey of capacities, gaps and opportunities in relation to early warning systems. The produced report, "Global survey of Early Warning Systems", concluded that there are many gaps and shortcomings and that much progress has been made on early warning systems and great capabilities are available around the world. However, it may be argued that an early warning system (EWS) may not be enough to prevent fatalities due to a natural hazard; i.e., it should be seen as part of a ‘wider' or total system. Furthermore, an EWS may work very well when assessed individually but it is not clear whether it will contribute to accomplish the purpose of the ‘total disaster management system'; i.e., to prevent fatalities. For instance, a regional EWS may only work if it is well co-ordinated with the local warning and emergency response systems that ensure that the warning is received, communicated and acted upon by the potentially affected communities. It may be argued that without these local measures being in place, a regional EWS will have little impact in saving lives. Researchers argued that unless people are warned in remote areas, the technology is useless; for instance McGuire [5] argues that: "I have no doubt that the technical element of the warning system will work very well,"…"But there has to be an effective and efficient communications cascade from the warning centre to the fisherman on the beach and his family and the bar owners." Similarly, McFadden [6] states that: "There's no point in spending all the money on a fancy monitoring and a fancy analysis system unless we can make sure the infrastructure for the broadcast system is there,"… "That's going to require a lot

  1. 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

  2. A new French flash flood warning service

    Directory of Open Access Journals (Sweden)

    de Saint-Aubin Céline

    2016-01-01

    Full Text Available The French State services in charge of flood forecasting supervise about 22,000 km among the 120,000 km of the French rivers within a warning procedure called Vigilance Crues (http://www.vigicrues.gouv.fr. Some recent dramatic flood events on small watershed not covered by Vigilance Crues highlight the need for a new warning procedure to anticipate violent flash floods that regularly affect rapid river-basins. Thus the concept emerged of an automatic warning service specifically dedicated to local crisis managers. This service will be less elaborated than Vigilance Crues, probably with false alarms and missed events sometimes, but it will deliver a first information. The generation of the warning is based on a simple rainfall-runoff hydrological model developed by Irstea on all French rivers, fed with radar-gauge rainfall grids provided by Meteo-France. Every fifteen minutes, the hydrological model estimates the discharges on the rivers eligible to the service and determine if certain thresholds corresponding to a high or very high flood are likely to be exceeded. The last step of the real-time system is to determine which municipalities are concerned with flood risk and send them an automatic warning by voice call, optionally by sms or email. A specific web interface is available for users to monitor the evolution of the flood risk on maps that are updated every 15 minutes. This new flash flood warning service will be operational early 2017 as a free service for about 8,000 French municipalities.

  3. 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.

  4. Sensors Provide Early Warning of Biological Threats

    Science.gov (United States)

    2009-01-01

    Early Warning Inc. of Troy, New York, licensed powerful biosensor technology from Ames Research Center. Incorporating carbon nanotubes tipped with single strands of nucleic acid from waterborne pathogens, the sensor can detect even minute amounts of targeted, disease causing bacteria, viruses, and parasites. Early Warning features the NASA biosensor in its water analyzer, which can provide advance alert of potential biological hazards in water used for agriculture, food and beverages, showers, and at beaches and lakes -- within hours instead of the days required by conventional laboratory methods.

  5. An early warning system for environmental compliance

    International Nuclear Information System (INIS)

    Quayle, T.A.

    1993-01-01

    This paper describes a process called an early warning system. This system is used for developing a method to monitor regulatory developments as they progress through the federal or state administrative process. The components of this early warning system, methods used to identify, analyze, communicate, and act on regulations, are addressed. The communication system includes a regulatory development tracking system and the methods used to relay information to applicable personnel. This paper also discusses the use of an environmental compliance manual and shows the relationship of the analysis of changing regulatory requirements to the revision process of the manual as well as methods of maintaining the manual as a ''living document''

  6. Streamlining Tsunami Messages (e.g., Warnings) of the US National Tsunami Warning Center, Palmer, Alaska

    Science.gov (United States)

    Gregg, C. E.; Sorensen, J. H.; Vogt Sorensen, B.; Whitmore, P.; Johnston, D. M.

    2016-12-01

    Spurred in part by world-wide interest in improving warning messaging for and response to tsunamis in the wake of several catastrophic tsunamis since 2004 and growing interest at the US National Weather Service (NWS) to integrate social science into their Tsunami Program, the NWS Tsunami Warning Centers in Alaska and Hawaii have made great progress toward enhancing tsunami messages. These include numerous products, among them being Tsunami Warnings, Tsunami Advisories and Tsunami Watches. Beginning in 2010 we have worked with US National Tsunami Hazard Mitigation Program (NTHMP) Warning Coordination and Mitigation and Education Subcommittee members; Tsunami Program administrators; and NWS Weather Forecast Officers to conduct a series of focus group meetings with stakeholders in coastal areas of Alaska, American Samoa, California, Hawaii, North Carolina, Oregon, US Virgin Islands and Washington to understand end-user perceptions of existing messages and their existing needs in message products. We also reviewed research literature on behavioral response to warnings to develop a Tsunami Warning Message Metric that could be used to guide revisions to tsunami warning messages of both warning centers. The message metric is divided into categories of Message Content, Style, Order, Formatting, and Receiver Characteristics. A sample message is evaluated by cross-referencing the message with the operational definitions of metric factors. Findings are then used to guide revisions of the message until the characteristics of each factor are met, whether the message is a full length or short message. Incrementally, this work contributed to revisions in the format, content and style of message products issued by the National Tsunami Warning Center (NTWC). Since that time, interest in short warning messages has continued to increase and in May 2016 the NTWC began efforts to revise message products to take advantage of recent NWS policy changes allowing use of mixed-case text

  7. Prototype Rail Crossing Violation Warning Application Project Report.

    Science.gov (United States)

    2017-09-05

    This report is the Project Report for the Rail Crossing Violation Warning (RCVW) safety application developed for the project on Rail Crossing Violation Warning Application and Infrastructure Connection, providing a means for equipped connected vehic...

  8. Tsunami Early Warning for the Indian Ocean Region - Status and Outlook

    Science.gov (United States)

    Lauterjung, Joern; Rudloff, Alexander; Muench, Ute; Gitews Project Team

    2010-05-01

    The German-Indonesian Tsunami Early Warning System (GITEWS) for the Indian Ocean region has gone into operation in Indonesia in November 2008. The system includes a seismological network, together with GPS stations and a network of GPS buoys additionally equipped with ocean bottom pressure sensors and a tide gauge network. The different sensor systems have, for the most part, been installed and now deliver respective data either online or interactively upon request to the Warning Centre in Jakarta. Before 2011, however, the different components requires further optimization and fine tuning, local personnel needs to be trained and eventual problems in the daily operation have to be dealt with. Furthermore a company will be founded in the near future, which will guarantee a sustainable maintenance and operation of the system. This concludes the transfer from a temporarily project into a permanent service. This system established in Indonesia differs from other Tsunami Warning Systems through its application of modern scientific methods and technologies. New procedures for the fast and reliable determination of strong earthquakes, deformation monitoring by GPS, the modeling of tsunamis and the assessment of the situation have been implemented in the Warning System architecture. In particular, the direct incorporation of different sensors provides broad information already at the early stages of Early Warning thus resulting in a stable system and minimizing breakdowns and false alarms. The warning system is designed in an open and modular structure based on the most recent developments and standards of information technology. Therefore, the system can easily integrate additional sensor components to be used for other multi-hazard purposes e.g. meteorological and hydrological events. Up to now the German project group is cooperating in the Indian Ocean region with Sri Lanka, the Maldives, Iran, Yemen, Tanzania and Kenya to set up the equipment primarily for

  9. 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.

  10. Real-time earthquake monitoring: Early warning and rapid response

    Science.gov (United States)

    1991-01-01

    A panel was established to investigate the subject of real-time earthquake monitoring (RTEM) and suggest recommendations on the feasibility of using a real-time earthquake warning system to mitigate earthquake damage in regions of the United States. The findings of the investigation and the related recommendations are described in this report. A brief review of existing real-time seismic systems is presented with particular emphasis given to the current California seismic networks. Specific applications of a real-time monitoring system are discussed along with issues related to system deployment and technical feasibility. In addition, several non-technical considerations are addressed including cost-benefit analysis, public perceptions, safety, and liability.

  11. Thermoregulation constrains effective warning signal expression.

    Science.gov (United States)

    Lindstedt, Carita; Lindström, Leena; Mappes, Johanna

    2009-02-01

    Evolution of conspicuous signals may be constrained if animal coloration has nonsignaling as well as signaling functions. In aposematic wood tiger moth (Parasemia plantaginis) larvae, the size of a warning signal (orange patch on black body) varies phenotypically and genetically. Although a large warning signal is favored as an antipredator defense, we hypothesized that thermoregulation may constrain the signal size in colder habitats. To test this hypothesis, we conducted a factorial rearing experiment with two selection lines for larval coloration (small and large signal) and with two temperature manipulations (high and low temperature environment). Temperature constrained the size and brightness of the warning signal. Larvae with a small signal had an advantage in the colder environment, which was demonstrated by a faster development time and growth rate in the low temperature treatment, compared to larvae with a large signal. Interestingly, the larvae with a small signal were found more often on the plant than the ones with a large signal, suggesting higher basking activity of the melanic (small signal) individuals in the low temperature. We conclude that the expression of aposematic display is not only defined by its efficacy against predators; variation in temperature may constrain evolution of a conspicuous warning signal and maintain variation in it.

  12. 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

  13. Childhood cancer: Early warning signs | Stones | Continuing ...

    African Journals Online (AJOL)

    Continuing Medical Education. Journal Home · ABOUT THIS JOURNAL · Advanced Search · Current Issue · Archives · Journal Home > Vol 28, No 7 (2010) >. Log in or Register to get access to full text downloads. Username, Password, Remember me, or Register. Childhood cancer: Early warning signs. DK Stones. Abstract.

  14. Backing warning sensors for tow plows.

    Science.gov (United States)

    2013-06-01

    Backup warning system devices were evaluated to determine if they would alert winter maintenance snow : plow drivers to obstacles directly behind the trailer and out of view of the driver when a unit is backed up. : When the sensors on the back of th...

  15. 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)

  16. One-year-olds warn others about negative action outcomes

    NARCIS (Netherlands)

    Knudsen, B.; Liszkowski, U.

    2013-01-01

    Warning others is a paradigm case of communicative helping and prospective action understanding. The current study addressed the ontogeny of warning in infants' gestural communication. We found that 12- and 18-month-olds (n = 84) spontaneously warned an adult by pointing out to her an aversive

  17. 14 CFR 135.153 - Ground proximity warning system.

    Science.gov (United States)

    2010-01-01

    ... 14 Aeronautics and Space 3 2010-01-01 2010-01-01 false Ground proximity warning system. 135.153... Equipment § 135.153 Ground proximity warning system. (a) No person may operate a turbine-powered airplane... equipped with an approved ground proximity warning system. (b) [Reserved] (c) For a system required by this...

  18. 21 CFR 330.2 - Pregnancy-nursing warning.

    Science.gov (United States)

    2010-04-01

    ... 21 Food and Drugs 5 2010-04-01 2010-04-01 false Pregnancy-nursing warning. 330.2 Section 330.2 Food and Drugs FOOD AND DRUG ADMINISTRATION, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) DRUGS... AND NOT MISBRANDED General Provisions § 330.2 Pregnancy-nursing warning. A pregnancy-nursing warning...

  19. 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.

  20. The lower effectiveness of text-only health warnings in China compared to pictorial health warnings in Malaysia.

    Science.gov (United States)

    Elton-Marshall, Tara; Xu, Steve Shaowei; Meng, Gang; Quah, Anne C K; Sansone, Genevieve C; Feng, Guoze; Jiang, Yuan; Driezen, Pete; Omar, Maizurah; Awang, Rahmat; Fong, Geoffrey T

    2015-11-01

    In 2009, China changed its health warnings on cigarette packs from side-only text warnings to two text-only warnings on 30% of the bottom of the front and back of the pack. Also in 2009, Malaysia changed from similar text warnings to pictorial health warnings consistent with Framework Convention on Tobacco Control (FCTC) Article 11 Guidelines. To measure the impact of the change in health warnings in China and to compare the text-only health warnings to the impact of the pictorial health warnings introduced in Malaysia. We measured changes in key indicators of warning effectiveness among a longitudinal cohort sample of smokers from Waves 1 to 3 (2006-2009) of the International Tobacco Control (ITC) China Survey and from Waves 3 to 4 (2008-2009) of the ITC Malaysia Survey. Each cohort consisted of representative samples of adult (≥18 years) smokers from six cities in China (n=6575) and from a national sample in Malaysia (n=2883). Generalised Estimating Equations (GEE) were used to examine the impact of the health warnings on subsequent changes in salience of warnings, cognitive and behavioural outcomes. Compared to Malaysia, the weak text-only warning labels in China led to a significant change in only two of six key indicators of health warning effectiveness: forgoing cigarettes and reading the warning labels. The change to pictorial health warnings in Malaysia led to significant and substantial increases in five of six indicators (noticing, reading, forgoing, avoiding, thinking about quitting). The delay in implementing pictorial health warnings in China constitutes a lost opportunity for increasing knowledge and awareness of the harms of cigarettes, and for motivating smokers to quit. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

  1. 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

  2. An Early Warning System for Overcrowding in the Emergency Department

    Science.gov (United States)

    Hoot, Nathan; Aronsky, Dominik

    2006-01-01

    Overcrowding of emergency departments impedes health care access and quality nationwide. A real-time early warning system for overcrowding may allow administrators to alleviate the problem before reaching a crisis state. Two original probabilistic models – a logistic regression and a recurrent neural network – were created to predict overcrowding crises one hour in the future. The two original and two pre-existing models were validated at 8,496 observation points from January 1, 2006 to February 28, 2006. All models showed high discriminatory ability in terms of area under the receiver operating characteristic curve (logistic regression = .954; recurrent neural network = .957; EDWIN = .879; NEDOCS = .924). At comparable rates of false alarms, the logistic regression gave more advance notice of crises than other models (logistic regression = 62 min; recurrent neural network = 13 min; EDWIN = 0 min; NEDOCS = 0 min). These results demonstrate the feasibility of using models based on key operational variables to anticipate overcrowding crises in real time. PMID:17238359

  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. LIVE DEMONSTRATION OF DISTANT EARLY WARNING SYSTEM

    Science.gov (United States)

    Hammitzsch, M.; Lendholt, M.; Wächter, J.

    2009-12-01

    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 earthquakes, for the monitoring of sea level, ocean floor events, and ground displacements. 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. The introductory part of the demonstration briefly explains the DEWS project, the CCUI in conjunction with operators’ workflow, the system architecture, details of information logistics and the virtual scenario of live demonstration. The live demonstration exhibits the CCUI on screen and the service

  5. Real-time information from seismic networks

    OpenAIRE

    Köhler, Nina

    2010-01-01

    In this thesis, the performance of a novel methodology for the real-time estimation of seismic source parameters is evaluated which can be used in earthquake early warning systems. The method, PreSEIS, uses artificial neural networks to map seismic observations from a network of sensors onto likely source parameters. The method is veryfied using two real earthquake datasets, as well as a synthetic earthquake dataset to evaluate the performance of the Istanbul early warning system.

  6. Flash flood warnings for ungauged basins based on high-resolution precipitation forecasts

    Science.gov (United States)

    Demargne, Julie; Javelle, Pierre; Organde, Didier; de Saint Aubin, Céline; Janet, Bruno

    2016-04-01

    Early detection of flash floods, which are typically triggered by severe rainfall events, is still challenging due to large meteorological and hydrologic uncertainties at the spatial and temporal scales of interest. Also the rapid rising of waters necessarily limits the lead time of warnings to alert communities and activate effective emergency procedures. To better anticipate such events and mitigate their impacts, the French national service in charge of flood forecasting (SCHAPI) is implementing a national flash flood warning system for small-to-medium (up to 1000 km²) ungauged basins based on a discharge-threshold flood warning method called AIGA (Javelle et al. 2014). The current deterministic AIGA system has been run in real-time in the South of France since 2005 and has been tested in the RHYTMME project (rhytmme.irstea.fr/). It ingests the operational radar-gauge QPE grids from Météo-France to run a simplified hourly distributed hydrologic model at a 1-km² resolution every 15 minutes. This produces real-time peak discharge estimates along the river network, which are subsequently compared to regionalized flood frequency estimates to provide warnings according to the AIGA-estimated return period of the ongoing event. The calibration and regionalization of the hydrologic model has been recently enhanced for implementing the national flash flood warning system for the entire French territory by 2016. To further extend the effective warning lead time, the flash flood warning system is being enhanced to ingest Météo-France's AROME-NWC high-resolution precipitation nowcasts. The AROME-NWC system combines the most recent available observations with forecasts from the nowcasting version of the AROME convection-permitting model (Auger et al. 2015). AROME-NWC pre-operational deterministic precipitation forecasts, produced every hour at a 2.5-km resolution for a 6-hr forecast horizon, were provided for 3 significant rain events in September and November 2014 and

  7. Conception of a course for professional training and education in the field of computer and mobile forensics, part III: network forensics and penetration testing

    Science.gov (United States)

    Kröger, Knut; Creutzburg, Reiner

    2014-02-01

    IT security and computer forensics are important components in the information technology. From year to year, incidents and crimes increase that target IT systems or were done with their help. More and more companies and authorities have security problems in their own IT infrastructure. To respond to these incidents professionally, it is important to have well trained staff. The fact that many agencies and companies work with very sensitive data make it necessary to further train the own employees in the field of network forensics and penetration testing. Motivated by these facts, this paper - a continuation of a paper of January 2012 [1], which showed the conception of a course for professional training and education in the field of computer and mobile forensics - addresses the practical implementation important relationships of network forensic and penetration testing.

  8. Tuning Interchain Interactions in Two-Dimensional Networks of Mn(III) Schiff-Base Complexes and Dicarboxylic Acids by Varying the Linker.

    Science.gov (United States)

    Aono, Yoshitaka; Yoshida, Hiroki; Katoh, Keiichi; Breedlove, Brian K; Kagesawa, Koichi; Yamashita, Masahiro

    2015-07-20

    Two-dimensional (2D) coordination polymers consisting of Mn(III) Schiff-base complexes and dicarboxylic acids, [{Mn(salen)}4(L1)](PF6)2·(CH3OH)2 (C4; H2L1 = adipid acid) and [{Mn(salen)}4(L2)](PF6)2·(CH3OH)4 (C4'; H2L2 = E,E-1,3-butadiene-1,4-dicarboxylic acid) (salen(2-) = N,N'-(ethylene)bis(salicylideneiminato), were synthesized by using a one-pot reaction and characterized by using single-crystal X-ray crystallographic analysis. One-dimensional (1D) chains composed of Mn(salen) dimers, [Mn2], bridged by carboxylato ligands (-[Mn2]-OCO--[Mn2]-), were linked by dicarboxylato ligands with n-butyl (-C4H8-) (C4) and butadienyl aliphatic groups (-C4H4-) (C4'). From static magnetic measurements on both C4 and C4', there were ferromagnetic interactions between the Mn(III) ions through the phenoxo oxygen atoms of the salen(2-), and antiferromagnetic interactions between the Mn(III) ions through carboxylato ligands (-OCO-). As a result, weak ferromagnetism occurred because of the zigzag-shaped chain structure of C4 and C4', and magnetic anisotropy for Mn(salen). In the magnetization curves for C4', weak interchain interactions (Jlinker) occurred through the π-conjugated butadienyl linkers in C4', which C4 did not have. In other words, changing from saturated to unsaturated aliphatic groups in the dicarboxylic acid linkers resulted in weak interactions between 1D-magnetic chain moieties. Therefore, in the case of only C4', antiferromagnetic phase transition appeared at 2.3 K. Both coordination polymers exhibited slow relaxation of the magnetizations, which originated from SCM moieties, because C4 and C4' showed magnetic correlations. It is noteworthy that alternating current (ac) susceptibilities for C4' are frequency-dependent around the Néel temperature. From analysis of the ac susceptibilities for C4, α (dispersion coefficient of the relaxation of magnetization) varied linearly with 1/T. This signifies that C4 behaved as an SCM with a single relaxation process. On

  9. Satellite Threat Warning and Attack Reporting

    Energy Technology Data Exchange (ETDEWEB)

    Hilland, D. [Kirkland AFB, NM (United States). Air Force Research Lab.; Phipps, G. [Sandia National Labs., Albuquerque, NM (United States). Optics & Technologies Dept.; Jingle, C.; Newton, G. [Schafer Corp., Albuquerque, NM (United States)

    1997-12-31

    The Air Force Research Laboratory`s Satellite Threat Warning and Attack Reporting (STW/AR) program will provide technologies for advanced threat warning and reporting of radio frequency (RF) and laser threats. The STW/AR program objectives are: (a) develop cost- effective technologies to detect, identify, locate, characterize, and report attacks or interference against U.S. and Allied satellites. (b) demonstrate innovative, light-weight, low-power, laser and RF sensors. The program focuses on the demonstration of RF and laser sensors. The RF sensor effort includes the investigation of interferometric antenna arrays, multi-arm spiral and butler matrix antennas, wideband receivers, adaptive processors, and improved processing algorithms. The laser sensor effort includes the investigation of alternative detectors, broadband grating and optical designs, active pixel sensing, and improved processing algorithms.

  10. Urban flood risk warning under rapid urbanization.

    Science.gov (United States)

    Chen, Yangbo; Zhou, Haolan; Zhang, Hui; Du, Guoming; Zhou, Jinhui

    2015-05-01

    In the past decades, China has observed rapid urbanization, the nation's urban population reached 50% in 2000, and is still in steady increase. Rapid urbanization in China has an adverse impact on urban hydrological processes, particularly in increasing the urban flood risks and causing serious urban flooding losses. Urban flooding also increases health risks such as causing epidemic disease break out, polluting drinking water and damaging the living environment. In the highly urbanized area, non-engineering measurement is the main way for managing urban flood risk, such as flood risk warning. There is no mature method and pilot study for urban flood risk warning, the purpose of this study is to propose the urban flood risk warning method for the rapidly urbanized Chinese cities. This paper first presented an urban flood forecasting model, which produces urban flood inundation index for urban flood risk warning. The model has 5 modules. The drainage system and grid dividing module divides the whole city terrain into drainage systems according to its first-order river system, and delineates the drainage system into grids based on the spatial structure with irregular gridding technique; the precipitation assimilation module assimilates precipitation for every grids which is used as the model input, which could either be the radar based precipitation estimation or interpolated one from rain gauges; runoff production module classifies the surface into pervious and impervious surface, and employs different methods to calculate the runoff respectively; surface runoff routing module routes the surface runoff and determines the inundation index. The routing on surface grid is calculated according to the two dimensional shallow water unsteady flow algorithm, the routing on land channel and special channel is calculated according to the one dimensional unsteady flow algorithm. This paper then proposed the urban flood risk warning method that is called DPSIR model based

  11. Rogue wave early warning through spectral measurements?

    International Nuclear Information System (INIS)

    We study the spectra of the Peregrine soliton and higher-order rational solutions of the nonlinear Schroedinger equation (NLSE), which we use as a model of the rogue waves in optics and in the deep ocean. We show that these solutions have specific triangular spectra that are certainly easily measurable in optical systems and which may be amenable to characterisation in ocean environments. As the triangular feature of the solutions appears at an early stage of their evolution, this raises the possibility of early detection and possible localized warning of the appearance of rogue waves. We anticipate that studying the characteristics of 'early warning spectra' of rogue waves may become an important future field of research.

  12. Forecasting, Warning and Responding to Transnational Risks

    DEFF Research Database (Denmark)

    What does it take to recognise and prevent hazards with international causes and consequences? How can we handle the risks related to financial instability, terrorism, pandemics, air pollution, flooding and climate change? The book brings together scholars and senior practitioners from different...... areas to conceptualise and empirically study the interlinked problems of forecasting, warning and mobilising preventive action. Contributors comment on key problems such as uncertainty, silo-mentality, spotting weak-signals, cultures of blame, conflicts of interest and divergent risk perceptions......, but are also sensitive to differences between actors and types of risk. The overall thrust is to challenge both technocratic and popularised accounts of the warning-response problem. Successful prevention or mitigation involves difficult cognitive, normative and political judgements. Whilst these difficulties...

  13. Home seismometer for earthquake early warning

    Science.gov (United States)

    Horiuchi, Shigeki; Horiuchi, Yuko; Yamamoto, Shunroku; Nakamura, Hiromitsu; Wu, Changjiang; Rydelek, Paul A.; Kachi, Masaaki

    2009-02-01

    The Japan Meteorological Agency (JMA) has started the practical service of Earthquake Early Warning (EEW) and a very dense deployment of receiving units is expected in the near future. The receiving/alarm unit of an EEW system is equipped with a CPU and memory and is on-line via the internet. By adding an inexpensive seismometer and A/D converter, this unit is transformed into a real-time seismic observatory, which we are calling a home seismometer. If the home seismometer is incorporated in the standard receiving unit of EEW, then the number of seismic observatories will be drastically increased. Since the background noise inside a house caused by human activity may be very large, we have developed specialized software for on-site warning using the home seismometer. We tested our software and found that our algorithm can correctly distinguish between noise and earthquakes for nearly all the events.

  14. Severe Thunderstorm and Tornado Warnings at Raleigh, North Carolina.

    Science.gov (United States)

    Hoium, Debra K.; Riordan, Allen J.; Monahan, John; Keeter, Kermit K.

    1997-11-01

    The National Weather Service issues public warnings for severe thunderstorms and tornadoes when these storms appear imminent. A study of the warning process was conducted at the National Weather Service Forecast Office at Raleigh, North Carolina, from 1994 through 1996. The purpose of the study was to examine the decision process by documenting the types of information leading to decisions to warn or not to warn and by describing the sequence and timing of events in the development of warnings. It was found that the evolution of warnings followed a logical sequence beginning with storm monitoring and proceeding with increasingly focused activity. For simplicity, information input to the process was categorized as one of three types: ground truth, radar reflectivity, or radar velocity.Reflectivity, velocity, and ground truth were all equally likely to initiate the investigation process. This investigation took an average of 7 min, after which either a decision was made not to warn or new information triggered the warning. Decisions not to issue warnings were based more on ground truth and reflectivity than radar velocity products. Warnings with investigations of more than 2 min were more likely to be triggered by radar reflectivity, than by velocity or ground truth. Warnings with a shorter investigation time, defined here as "immediate trigger warnings," were less frequently based on velocity products and more on ground truth information. Once the decision was made to warn, it took an average of 2.1 min to prepare the warning text. In 85% of cases when warnings were issued, at least one contact was made to emergency management officials or storm spotters in the warned county. Reports of severe weather were usually received soon after the warning was transmitted-almost half of these within 30 min after issue. A total of 68% were received during the severe weather episode, but some of these storm reports later proved false according to Storm Data.Even though the WSR

  15. 46 CFR 154.1830 - Warning sign.

    Science.gov (United States)

    2010-10-01

    ... SELF-PROPELLED VESSELS CARRYING BULK LIQUEFIED GASES Operations § 154.1830 Warning sign. (a) The master...) Dangerous Cargo. (3) No Visitors. (4) No Smoking. (5) No Open Lights. (c) Each letter in the words on the....1 cm (2 in.) wide, except for “M” and “W” which must be 7.6 cm (3 in.) wide, and the letter “I...

  16. The Monumental Task of Warning Future Generations

    International Nuclear Information System (INIS)

    NA

    2005-01-01

    Describing preliminary concepts for permanent warning monuments or markers on the mountain's surface will be part of the US Department of Energy's license application to the Nuclear Regulatory Commission (NRC) for a proposed repository at Yucca Mountain, Nevada. The NRC requires that the monuments or markers accurately identify the location of the repository, be designed to be as permanent as practicable and convey a warning against intrusion into the underground repository, because of risk to public health and safety from radioactive wastes. Current concepts include both monuments and markers, but the designs will not be final for some time because they will not be approved by the NRC until shortly before the repository is to be permanently sealed and closed. Closure of the repository would be at least 50 years, and possibly up to 300 years, after the first waste is emplaced deep underground. Design ideas for the monuments and markers have been drawn from a broad range of sources: Yucca Mountain's natural conditions, worldwide archeological studies, materials science, and verbal and symbolic linguistics. The monumental challenge is to address how warnings can be coherently conveyed for thousands of years into the future when human society and languages could change radically

  17. Acquiring Comprehensive Observations using an Integrated Sensorweb for Early Warning

    Science.gov (United States)

    Habib, Shahid; Ambrose, Steve

    2006-01-01

    As an integrated observing strategy, the concept of sensorweb for Earth observations is appealing in many aspects. For instance, by increasing the spatial and temporal coverage of observations from space and other vantage points, one can eventually aid in increasing the accuracy of the atmospheric models which are precursor to hurricane track prediction, volcanic eruption forecast, and trajectory path of transcontinental transport of dust, harmful nuclear and chemical plumes. In reality, there is little analysis'available in terms of benefits, costs and optimized set of sensors needed to make these necessary observations. This is a complex problem that must be carefully studied and balanced over many boundaries such as science, defense, early warning security, and surveillance. Simplistically, the sensorweb concept from the technological point of view alone has a great appeal in the defense, early warning and security applications. In fact, it can be relatively less expensive in per unit cost as opposed to building and deploying it for the scientific use. However, overall observing approach should not be singled out and aligned somewhat . orthogonally to serve a particular need. On the other hand, the sensorweb should be designed and deployed to serve multiple subject areas and customers simultaneously; and can behave as directed measuring systems for both science and operational entities. Sensorweb can be designed to act as expert systems, and/or also provide a dedicated integrated surveillance network. Today, there is no system in the world that is fully integrated in terms of reporting timely multiple hazards warnings, computing the lass of life and property damage estimates, and is also designed to cater to everyone's needs. It is not an easier problem to undertake and more so is not practically solvable. At this time due to some recent events in the world, the scientific community, social scientists, and operational agencies are more cognizant and getting

  18. Network pharmacology of medicinal attributes and functions of Chinese herbal medicines: (III Canonical correlation functions between attribute classes and linear eignmodels of Chinese herbal medicines

    Directory of Open Access Journals (Sweden)

    WenJun Zhang

    2017-09-01

    Full Text Available In present study I used the data from CHM-DATA, the interactive database of 1127 Chinese herbal medicines. Canonical correlation functions were determined for taste attribute class (7 taste attributes, medicinal property class (5 medicinal properties, chemical composition class (22 chemical composition categories, meridians and colleterals class (12 meridians and colleterals, and medicinal function class (77 medicinal functions. Linear eignmodels were also developed for Chinese herbal medicines. Theoretically the attribute values of any Chinese herbal medicines meet the corresponding linear eignmodel. Matlab codes for canonical correlation analysis and linear eignmodel were given. Finally, the canonical correlation network for attribute classes of Chinese herbal medicines was constructed.

  19. Implicit motivational impact of pictorial health warning on cigarette packs.

    Directory of Open Access Journals (Sweden)

    Eliane Volchan

    Full Text Available OBJECTIVE: The use of pictorial warning labels on cigarette packages is one of the provisions included in the first ever global health treaty by the World Health Organization against the tobacco epidemic. There is substantial evidence demonstrating the effectiveness of graphic health warning labels on intention to quit, thoughts about health risks and engaging in cessation behaviors. However, studies that address the implicit emotional drives evoked by such warnings are still underexplored. Here, we provide experimental data for the use of pictorial health warnings as a reliable strategy for tobacco control. METHODS: Experiment 1 pre-tested nineteen prototypes of pictorial warnings to screen for their emotional impact. Participants (n = 338 were young adults balanced in gender, smoking status and education. Experiment 2 (n = 63 tested pictorial warnings (ten that were stamped on packs. We employed an innovative set-up to investigate the impact of the warnings on the ordinary attitude of packs' manipulation, and quantified judgments of warnings' emotional strength and efficacy against smoking. FINDINGS: Experiment 1 revealed that women judged the warning prototypes as more aversive than men, and smokers judged them more aversive than non-smokers. Participants with lower education judged the prototypes more aversive than participants with higher education. Experiment 2 showed that stamped warnings antagonized the appeal of the brands by imposing a cost to manipulate the cigarette packs, especially for smokers. Additionally, participants' judgments revealed that the more aversive a warning, the more it is perceived as effective against smoking. CONCLUSIONS: Health warning labels are one of the key components of the integrated approach to control the global tobacco epidemic. The evidence presented in this study adds to the understanding of how implicit responses to pictorial warnings may contribute to behavioral change.

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

    Directory of Open Access Journals (Sweden)

    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

  1. AND Dy(III)

    African Journals Online (AJOL)

    userpc

    ACTIVITIES OF Sm(III) AND Dy(III) COMPLEXES WITH SCHIFF BASE DERIVED FROM ... and spectral analysis show that ligand coordinate to the central lanthanide(III)ion by its imine nitrogen, phenolic oxygen and carboxylic oxygen in 1:1 stoichemetry. The complexes were ... instance iron (III) and cobalt (III) complexes.

  2. Near-field tsunami early warning and emergency planning in the Mediterranean Sea

    Directory of Open Access Journals (Sweden)

    Gerassimos A. Papadopoulos

    2013-04-01

    Full Text Available The new European project Near-field Tsunami Early Warning and Emergency Planning in the Mediterranean Sea (NEARTOWARN faces the need to develop operational tsunami early warning systems in near-field (local conditions where the travel time of the first tsunami wave is very short, that is less than 30 min, which is a typical case in the North East Atlantic and the Mediterranean Sea region but also elsewhere around the globe. The operational condition that should be fulfilled is that the time of tsunami detection, plus the time of warning transmitting, plus the time of evacuation should not exceed the travel time of the first tsunami wave from its source to the closest evacuation zone. To this goal the time to detect of the causative earthquake should be compressed at the very minimum. In this context the core of the proposed system is a network of seismic early warning devices, which activate and send alert in a few seconds after the generation of a near-field earthquake, when a seismic ground motion exceeding a prescribed threshold is detected. Then civil protection mobilizes to manage the earthquake crisis but also to detect and manage a possible tsunami through a geographical risk management system. For the tsunami detection the system is supported by tide-gauges of radar type, a database of presimulated tsunami scenarios, and a local tsunami decision matrix. The island of Rhodes in the eastern termination of the Hellenic Arc and Trench has been selected for a pilot and operational development of the local tsunami warning system given that the island is a highly popular tourist destination, historically it was hit by large tsunamigenic earthquakes and was recently the master test-site for the pan-European FP6 tsunami research project Tsunami Risk ANd Strategies For the European Region (TRANSFER.

  3. Seismic Monitoring Capabilities of the Caribbean and Adjacent Regions Tsunami Warning System

    Science.gov (United States)

    Saurel, Jean-Marie; von Hillebrandt-Andrade, Christa; Crespo, Hector; McNamara, Dan; Huerfano, Victor

    2014-05-01

    Over 75 tsunamis have been documented in the Caribbean and Adjacent Regions during the past 500 years. Since 1500, at least 4484 people are reported to have perished in these killer waves. Hundreds of thousands are currently threatened along the Caribbean coastlines. In 2005 the Intergovernmental Coordination Group for the Tsunami and other Coastal Hazards Warning System for the Caribbean and Adjacent Regions (CARIBE EWS) was established. It recommended the following minimum seismic performance standards for the detection and analysis of earthquakes: 1) Earthquake detection within 1 minute, 2) Minimum magnitude threshold = M4.5, and 3) Initial hypocenter error of data availability of the contributing stations at the US Tsunami Warning Centers, the Puerto Rico Seismic Network and IRIS. As of early 2014, 99 of the proposed stations are being contributed by national, regional and international seismological institutions. Recent network additions (Nicaragua, Colombia, Mexico, Cayman Islands, and Venezuela) have reduced detection threshold, time and location error throughout much of the Caribbean region and Central America. Specifically, earthquakes (>M4.0) can be detected within 1 minute throughout much of the Caribbean. The remaining exceptions to this standard for detection are portions of northern South America and Mexico. Another performance criterion is 90% data availability. Currently 60-70% of the stations meet this standard. The presentation will further report on the status of the CARIBE EWS seismic capability for the timely and accurate detection and analysis of earthquakes for tsunami warning purposes for the Caribbean and Adjacent Regions.

  4. Global Positioning System III (GPS III)

    Science.gov (United States)

    2015-12-01

    Selected Acquisition Report (SAR) RCS: DD-A&T(Q&A)823-292 Global Positioning System III ( GPS III) As of FY 2017 President’s Budget Defense...Acquisition Management Information Retrieval (DAMIR) March 23, 2016 16:15:29 UNCLASSIFIED GPS III December 2015 SAR March 23, 2016 16:15:29 UNCLASSIFIED 2...Document OSD - Office of the Secretary of Defense O&S - Operating and Support PAUC - Program Acquisition Unit Cost GPS III December 2015 SAR March 23

  5. Application of FBG sensing technique for monitoring and early warning system of high-speed railway track conditions

    Science.gov (United States)

    Zhang, Yongjia; Liu, Fang; Jing, Yuhai; Li, Weilai

    2017-04-01

    High-speed railway has achieved remarkable development in China, and safety monitoring of high-speed railway is becoming an important research. Fiber bragg grating (FBG) sensing technology is applied for monitoring and early warning system of high-speed railway track condition in this paper. The sensor network is built by putting FBG sensors on the high-speed rail tracks, which is necessary for real-time online monitoring of railway track temperature, displacement and strain. These different variables are collected, processed and analyzed by FBG demodulator. In addition, the railway track temperature prediction model are established based on relevance vector regression algorithm, which further improves the prediction accuracy and generalization performance. The system has been applied in the realtime online monitoring and early warning system of Guangzhou-Shenzhen-Hong Kong high-speed railway track condition. The system is running in good condition and playing an important role in early warning.

  6. 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.

  7. GAMMA-1: a first step towards a radiation early warning system for Belarus and the Ukraine

    International Nuclear Information System (INIS)

    With assistance from the European Commission, the governments of Belarus and the Ukraine have planned a radiation early warning system to detect faults and incidents which may arise in nuclear plants. The objective is to in stall a GAMMA curtain ultimately covering the whole of the former Soviet Union and to include nationwide radiation measurement networks in Belarus and the Ukraine. A pilot system, GAMMA-1, will be commissioned shortly with the primary objectives of: detecting significant changes in radiation levels in three critical pilot areas; alerting the national authorities to any significant change; providing information on which warnings to the population may be based; assisting in counter measures to protect populations and the environment; testing and evaluating key elements of the overall system. The fixed and roving response systems, the gamma monitoring stations and the response centres are described in outline. (UK)

  8. Storm-based Cloud-to-Ground Lightning Probabilities and Warnings

    Science.gov (United States)

    Calhoun, K. M.; Meyer, T.; Kingfield, D.

    2017-12-01

    A new cloud-to-ground (CG) lightning probability algorithm has been developed using machine-learning methods. With storm-based inputs of Earth Networks' in-cloud lightning, Vaisala's CG lightning, multi-radar/multi-sensor (MRMS) radar derived products including the Maximum Expected Size of Hail (MESH) and Vertically Integrated Liquid (VIL), and near storm environmental data including lapse rate and CAPE, a random forest algorithm was trained to produce probabilities of CG lightning up to one-hour in advance. As part of the Prototype Probabilistic Hazard Information experiment in the Hazardous Weather Testbed in 2016 and 2017, National Weather Service forecasters were asked to use this CG lightning probability guidance to create rapidly updating probability grids and warnings for the threat of CG lightning for 0-60 minutes. The output from forecasters was shared with end-users, including emergency managers and broadcast meteorologists, as part of an integrated warning team.

  9. An Intelligent Broadcasting Algorithm for Early Warning Message Dissemination in VANETs

    Directory of Open Access Journals (Sweden)

    Ihn-Han Bae

    2015-01-01

    Full Text Available Vehicular ad hoc network (VANET has gained much attention recently to improve road safety, reduce traffic congestion, and enable efficient traffic management because of its many important applications in transportation. In this paper, an early warning intelligence broadcasting algorithm is proposed, EW-ICAST, to disseminate a safety message for VANETs. The proposed EW-ICAST uses not only the early warning system on the basis of time to collision (TTC but also the intelligent broadcasting algorithm on the basis of fuzzy logic. Thus, the EW-ICAST resolves effectively broadcast storm problem and meets time-critical requirement. The performance of EW-ICAST is evaluated through simulation and compared with that of other alert message dissemination algorithms. From the simulation results, we know that EW-ICAST is superior to Simple, P-persistence, and EDB algorithms.

  10. 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

  11. 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.

  12. 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...

  13. Alcohol warning label perceptions: Emerging evidence for alcohol policy.

    Science.gov (United States)

    Al-hamdani, Mohammed; Smith, Steven

    2015-10-03

    Patterns of alcohol and cigarette use and abuse can be considered parallels due to their similar social, biological and epidemiological implications. Therefore, the cross-fertilization of policy research, including health warnings evidence, is justified. The objective of this study was to apply the lessons learned from the tobacco health warnings and plain packaging literature to an alcohol packaging study and test whether labelling alters consumer perceptions. Ninety-two adults were exposed to four labelling conditions of bottles for a famous brand of each of wine, beer and hard liquor. Participants were randomly assigned to one of four labelling conditions: standard, text warning, text and image warning, or text and image warning on a plain bottle. Participants then expressed their product-based (i.e., evaluation of the products) and consumer-based (i.e., evaluation of potential consumers of the products) perceptions in relation to each label condition and were asked to recognize the correct health warning. As expected, participants perceived bottles with warnings less positively as compared to standard bottles in terms of product-based and consumer-based perceptions: plain bottles showed the most consistent statistically significant results, followed by text and image warnings, and then text warnings in pair-wise comparisons with the standard bottles. Some support for the impact of plain packaging on warning recognition was also found. Unlike previous studies, this study reveals that health warnings, if similar to those on cigarette packs, can change consumer-based and product-based perceptions of alcohol products. The study reveals the importance of serious consideration of stringent alcohol warning policy research.

  14. Integration of WERA Ocean Radar into Tsunami Early Warning Systems

    Science.gov (United States)

    Dzvonkovskaya, Anna; Helzel, Thomas; Kniephoff, Matthias; Petersen, Leif; Weber, Bernd

    2016-04-01

    by the WERA radars to TEWS. The radar measurements can be used to confirm a pre-warning and raise a tsunami alert. The output data of WERA processing software can be easily integrated into existing TEWS due to flexible data format, fast update rate and quality control of measurements. The archived radar data can be used for further hazard analysis and research purposes. The newly launched Tsunami Warning Center in Oman is one of the most sophisticated tsunami warning system world-wide applying a mix of well proven state-of-the-art subsystems. It allows the acquisition of data from many different sensor systems including seismic stations, GNSS, tide gauges, and WERA ocean radars in one acquisition system providing access to all sensor data via a common interface. The TEWS in Oman also integrates measurements of a modern network of HF ocean radars to verify tsunami simulations, which give additional scenario quality information and confirmation to the decision support.

  15. 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

  16. 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

  17. PCAST warns against slashing Federal science budget

    Science.gov (United States)

    Carlowicz, Michael

    With the congressional cost-cutting dynamo rolling through the 1996 budget process, a group of academic and industry science advisors has assumed the role of traffic cop, cautioning legislators on both sides of the aisle to [slow down!] Invoking economic productivity, the quality of American life, and national security, the 19 members of the President's Committee of Advisors on Science and Technology (PCAST) have warned both political parties that a budget balanced through severe cuts in research funding will cost the country more than it saves.

  18. Advanced Planning and Early Warning for the Warfighter

    National Research Council Canada - National Science Library

    Lilly, Julius

    1997-01-01

    Current tactical/operational software and doctrine do not provide the warfighter early warning against intercepted or non-intercepted missiles, especially when containing chemical/biological agents...

  19. A Quantitative Analysis of Variability Warnings in Linux

    DEFF Research Database (Denmark)

    Melo, Jean; Flesborg, Elvis; Brabrand, Claus

    2015-01-01

    In order to get insight into challenges with quality in highly-configurable software, we analyze one of the largest open source projects, the Linux kernel, and quantify basic properties of configuration-related warnings. We automatically analyze more than 20 thousand valid and distinct random...... configurations, in a computation that lasted more than a month. We count and classify a total of 400,000 warnings to get an insight in the distribution of warning types, and the location of the warnings. We run both on a stable and unstable version of the Linux kernel. The results show that Linux contains...

  20. An analysis of legal warnings after drug approval in Thailand.

    Science.gov (United States)

    Sriphiromya, Pakawadee; Theeraroungchaisri, Anuchai

    2015-02-01

    Drug risk management has many tools for minimizing risk and black-boxed warnings (BBWs) are one of those tools. Some serious adverse drug reactions (ADRs) emerge only after a drug is marketed and used in a larger population. In Thailand, additional legal warnings after drug approval, in the form of black-boxed warnings, may be applied. Review of their characteristics can assist in the development of effective risk mitigation. This study was a cross sectional review of all legal warnings imposed in Thailand after drug approval (2003-2012). Any boxed warnings for biological products and revised warnings which were not related to safety were excluded. Nine legal warnings were evaluated. Seven related to drugs classes and two to individual drugs. The warnings involved four main types of predictable ADRs: drug-disease interactions, side effects, overdose and drug-drug interactions. The average time from first ADRs reported to legal warnings implementation was 12 years. The triggers were from both safety signals in Thailand and regulatory measures in other countries outside Thailand. Copyright © 2014 Elsevier Inc. All rights reserved.

  1. Warning: You are being primed! The effect of a warning on the impact of subliminal ads

    NARCIS (Netherlands)

    Verwijmeren, T.; Karremans, J.C.T.M.; Bernritter, S.F.; Stroebe, W.; Wigboldus, D.H.J.

    2013-01-01

    As it has been demonstrated that subliminal advertising can affect consumers' decisions – if the ad is goal relevant – the question rises whether consumers are able to shield themselves from subliminal influences. In the present research it was examined whether warning people of the presence of

  2. Warning: you are being primed! The effect of a warning on the impact of subliminal ads

    NARCIS (Netherlands)

    Verwijmeren, T.; Karremans, J.C.; Bernritter, S.F.; Stroebe, W.; Wigboldus, D.H.J.

    2013-01-01

    As it has been demonstrated that subliminal advertising can affect consumers’ decisions - if the ad is goal relevant - the question rises whether consumers are able to shield themselves from subliminal influences. In the present research it was examined whether warning people of the presence of

  3. 76 FR 55923 - Draft Guidance for Industry: Submission of Warning Plans for Cigarettes and Smokeless Tobacco...

    Science.gov (United States)

    2011-09-09

    ... warning plan; where to submit; and what approval of a warning plan means. II. Significance of Guidance FDA... submitted in a warning plan; where to submit a warning plan; and what approval of a warning plan means. FDA... displayed in each 12-month period on each brand of the product; are randomly displayed in as equal a number...

  4. 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

  5. Adapting the EDuMaP method to test the performance of the Norwegian early warning system for weather-induced landslides

    Science.gov (United States)

    Piciullo, Luca; Dahl, Mads-Peter; Devoli, Graziella; Colleuille, Hervé; Calvello, Michele

    2017-06-01

    The Norwegian national landslide early warning system (LEWS), operational since 2013, is managed by the Norwegian Water Resources and Energy Directorate and was designed for monitoring and forecasting the hydrometeorological conditions potentially triggering slope failures. Decision-making in the LEWS is based upon rainfall thresholds, hydrometeorological and real-time landslide observations as well as on landslide inventory and susceptibility maps. Daily alerts are issued throughout the country considering variable size warning zones. Warnings are issued once per day for the following 3 days and can be updated according to weather forecasts and information gathered by the monitoring network. The performance of the LEWS operational in Norway has been evaluated applying the EDuMaP method, which is based on the computation of a duration matrix relating number of landslides and warning levels issued in a warning zone. In the past, this method has been exclusively employed to analyse the performance of regional early warning models considering fixed warning zones. Herein, an original approach is proposed for the computation of the elements of the duration matrix in the case of early warning models issuing alerts on variable size areas. The approach has been used to evaluate the warnings issued in Western Norway, in the period 2013-2014, considering two datasets of landslides. The results indicate that the landslide datasets do not significantly influence the performance evaluation, although a slightly better performance is registered for the smallest dataset. Different performance results are observed as a function of the values adopted for one of the most important input parameters of EDuMaP, the landslide density criterion (i.e. setting the thresholds to differentiate among classes of landslide events). To investigate this issue, a parametric analysis has been conducted; the results of the analysis show significant differences among computed performances when

  6. Citizen Science to Support Community-based Flood Early Warning and Resilience Building

    Science.gov (United States)

    Paul, J. D.; Buytaert, W.; Allen, S.; Ballesteros-Cánovas, J. A.; Bhusal, J.; Cieslik, K.; Clark, J.; Dewulf, A.; Dhital, M. R.; Hannah, D. M.; Liu, W.; Nayaval, J. L.; Schiller, A.; Smith, P. J.; Stoffel, M.; Supper, R.

    2017-12-01

    In Disaster Risk Management, an emerging shift has been noted from broad-scale, top-down assessments towards more participatory, community-based, bottom-up approaches. Combined with technologies for robust and low-cost sensor networks, a citizen science approach has recently emerged as a promising direction in the provision of extensive, real-time information for flood early warning systems. Here we present the framework and initial results of a major new international project, Landslide EVO, aimed at increasing local resilience against hydrologically induced disasters in western Nepal by exploiting participatory approaches to knowledge generation and risk governance. We identify three major technological developments that strongly support our approach to flood early warning and resilience building in Nepal. First, distributed sensor networks, participatory monitoring, and citizen science hold great promise in complementing official monitoring networks and remote sensing by generating site-specific information with local buy-in, especially in data-scarce regions. Secondly, the emergence of open source, cloud-based risk analysis platforms supports the construction of a modular, distributed, and potentially decentralised data processing workflow. Finally, linking data analysis platforms to social computer networks and ICT (e.g. mobile phones, tablets) allows tailored interfaces and people-centred decision- and policy-support systems to be built. Our proposition is that maximum impact is created if end-users are involved not only in data collection, but also over the entire project life-cycle, including the analysis and provision of results. In this context, citizen science complements more traditional knowledge generation practices, and also enhances multi-directional information provision, risk management, early-warning systems and local resilience building.

  7. Epigenetic hereditary transcription profiles III, evidence for an epigenetic network resulting in gender, tissue and age-specific variation in overall transcription

    Directory of Open Access Journals (Sweden)

    Simons Johannes WIM

    2009-10-01

    Full Text Available Abstract Background We have previously shown that deviations from the average transcription profile of a group of functionally related genes are not only heritable, but also demonstrate specific patterns associated with age, gender and differentiation, thereby implicating genome-wide nuclear programming as the cause. To determine whether these results could be reproduced, a different micro-array database (obtained from two types of muscle tissue, derived from 81 human donors aged between 16 to 89 years was studied. Results This new database also revealed the existence of age, gender and tissue-specific features in a small group of functionally related genes. In order to further analyze this phenomenon, a method was developed for quantifying the contribution of different factors to the variability in gene expression, and for generating a database limited to residual values reflecting constitutional differences between individuals. These constitutional differences, presumably epigenetic in origin, contribute to about 50% of the observed residual variance which is connected with a network of interrelated changes in gene expression with some genes displaying a decrease or increase in residual variation with age. Conclusion Epigenetic variation in gene expression without a clear concomitant relation to gene function appears to be a widespread phenomenon. This variation is connected with interactions between genes, is gender and tissue specific and is related to cellular aging. This finding, together with the method developed for analysis, might contribute to the elucidation of the role of nuclear programming in differentiation, aging and carcinogenesis Reviewers This article was reviewed by Thiago M. Venancio (nominated by Aravind Iyer, Hua Li (nominated by Arcady Mushegian and Arcady Mushegian and J.P.de Magelhaes (nominated by G. Church.

  8. Observed activation status of lane departure warning and forward collision warning of Honda vehicles at dealership service centers.

    Science.gov (United States)

    Reagan, Ian J; McCartt, Anne T

    2016-11-16

    There are little objective data on whether drivers with lane departure warning and forward collision warning systems actually use them, but self-report data indicate that lane departure warning may be used less and viewed less favorably than forward collision warning. The current study assessed whether the systems were turned on when drivers brought their vehicles to dealership service stations and whether the observational protocol is a feasible method for collecting similar data on various manufacturers' systems. Observations of 2013-2015 Honda Accords, 2014-2015 Odysseys, and 2015 CR-Vs occurred at 2 U.S. Honda dealerships for approximately 4 weeks during Summer 2015. Of the 265 vehicles observed to have the 2 systems, 87 (32.8%) had lane departure warning turned on. Accords were associated with a 66% increase in the likelihood that lane departure warning was turned on compared with Odysseys, but the rate was still only about 40% in Accords. In contrast, forward collision warning was turned on in all but one of the observed vehicles. Observations found that the activation rate was much higher for forward collision warning than lane departure warning. The observation method worked well and appears feasible for extending to other manufacturers.

  9. 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.

  10. Early Warning Systems at Different Time Scales

    Science.gov (United States)

    Bain, C.

    2014-12-01

    Early Warning Systems (EWS) reduce the negative aspects of natural hazard impacts on vulnerable communities. Despite its frequent use as a term there is no real 'one size fits all' approach to EWS and the system may comprise of different elements depending on the time scale of the hazard, the quality of the information available to make decisions, as well as the population needs and habits. In most developing countries, the primary hydro-meteorological hazards are droughts and floods. These two hazards demand very different approaches: droughts occur over long time scales and are generally a consequence of a gradual process of reduced rainfall across a rainy season; Floods may be caused on seasonal timescales as well due to an overactive rainy season, but the most extreme consequences and loss of life are often suffered at short timescales and relate to flash flooding caused by severe thunderstorms, monsoon extremes and tropical cyclones. This presentation will address the issues around implementing successful EWS and how these can be targeted to different time scales of hazards. Case studies illustrating the benefits of early information use and action will be shown along with open questions for debate on how the science community might better engage and help develop solutions to hazard warning.

  11. Solvothermal synthesis of discrete cages and extended networks comprising {Cr(III)3O(O2CR)3(oxime)3}2- (R = H, CH3, C(CH3)3, C14H9) building blocks

    DEFF Research Database (Denmark)

    Houton, Edel; Comar, Priyanka; Pitak, Mateusz B.

    2016-01-01

    The synthesis, structural and magnetic characterisation of a family of related Cr(iii) cages are reported. Each member comprises {Cr(iii)3O(O2CR1)3(R2-sao)3}2- (R1 = H, CH3, C(CH3)3, C14H9; R2 = Me, Ph, tBu, C10H8) triangles linked by Na+ cations, resulting in either the discrete complexes [H3O......][NEt4]2[NaCr(iii)6O2(O2C-C14H9)6(Naphth-sao)6] (1) and [Na4Cr(iii)6O2(O2CC(CH3)3)6(3,5-di-tBu-sao)6(MeCN)6] (3); or the extended networks [H3O]2[Na2Cr(iii)6O2(O2CH)6(Ph-sao)6(MeCN)2(H2O)2]n·4MeCN (2); [H3O][Na3Cr(iii)6O2(O2CCH3)6(Me-sao)6(MeCN)]n (4) and [Na2Cr(iii)3O(O2CCH3)3(Me-sao)3(H2O)6]n·3MeCN (5...

  12. Real-time earthquake monitoring at the Indian Tsunami Early Warning System for tsunami advisories in the Indian Ocean

    Directory of Open Access Journals (Sweden)

    E Uma Devi

    2016-04-01

    Full Text Available The Indian Tsunami Early Warning System situated at Indian National Center for Ocean Information Services, Hyderabad, India, monitors real-time earthquake activity throughout the Indian Ocean to evaluate potential tsunamigenic earthquakes. The functions of the Indian Tsunami Early Warning System earthquake monitoring system include detection, location and determination of the magnitude of potentially tsunamigenic earthquakes occurring in the Indian Ocean. The real-time seismic monitoring network comprises 17 broadband Indian seismic stations transmitting real-time earthquake data through VSAT communication to the central receiving stations located at the Indian Meteorological Department, New Delhi, and the Indian National Center for Ocean Information Services, Hyderabad, simultaneously for processing and interpretation. In addition to this, earthquake data from around 300 global seismic stations are also received at the Indian National Center for Ocean Information Services in near-real-time. Most of these data are provided by IRIS Global Seismographic Network and GEOFON Extended Virtual Network through Internet. The Indian National Center for Ocean Information Services uses SeisComP3 software for auto-location of earthquake parameters (location, magnitude, focal depth and origin time. All earthquakes of Mw >5.0 are auto-located within 5–10 minutes of the occurrence of the earthquake. Since its inception in October 2007 to date, the warning centre has monitored and reported 55 tsunamigenic earthquakes (under-sea and near coast earthquakes of magnitude ⩾6.5 in the Indian Ocean region. Comparison of the earthquake parameters (elapsed time, magnitude, focal depth and location estimated by the Indian Tsunami Early Warning System with the US Geological Survey suggests that the Indian Tsunami Early Warning System is performing well and has achieved the target set up by the Intergovernmental Oceanographic Commission.

  13. A review of effective flood forecasting, warning and response system ...

    African Journals Online (AJOL)

    Last mentioned are the reason for absence in South Africa of a formal flood forecast, warning and response system (FFWRS). In most cases where a flood warning system exists, there is evidence that it is insufficient, mainly because of a lack of knowledge and understanding of a well-functioning, appropriate FFWRS.

  14. 30 CFR 77.410 - Mobile equipment; automatic warning devices.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Mobile equipment; automatic warning devices. 77... UNDERGROUND COAL MINES Safeguards for Mechanical Equipment § 77.410 Mobile equipment; automatic warning devices. (a) Mobile equipment such as front-end loaders, forklifts, tractors, graders, and trucks, except...

  15. An exploration of public knowledge of warning signs for cancer.

    Science.gov (United States)

    Keeney, Sinead; McKenna, Hugh; Fleming, Paul; McIlfatrick, Sonja

    2011-02-01

    Warning signs of cancer have long been used as an effective way to summarise and communicate early indications of cancer to the public. Given the increasing global burden of cancer, the communication of these warning signs to the public is more important than ever before. This paper presents part of a larger study which explored the attitudes, knowledge and behaviours of people in mid-life towards cancer prevention. The focus of this paper is on the assessment of the knowledge of members of the public aged between 35 and 54 years of age. A questionnaire was administered to a representative sample of the population listing 17 warning signs of cancer. These included the correct warning signs and distracter signs. Respondents were asked to correctly identify the seven warning signs. Findings show that respondents could identify 4.8 cancer warning signs correctly. Analysis by demographics shows that being female, being older, having a higher level of educational attainment and being in a higher socio-economic group are predictors of better level of knowledge of cancer warning signs. Recommendations are proffered with regard to better targeting, clarification and communication of cancer warning signs. Copyright © 2010 Elsevier Ltd. All rights reserved.

  16. Speech act theory in support of idealised warning models | Carstens ...

    African Journals Online (AJOL)

    In applied communication studies warnings (as components of instructional texts) are often characterised in terms of criteria for effectiveness. An idealised model for warnings include the following elements: a signal word or label appropriate to the level of hazard; a hazard statement; references to the consequences of ...

  17. 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.

  18. Automated Safety Warning Controller (ASWC) Phase I - Proof of Concept

    Science.gov (United States)

    2010-07-07

    Automated warning systems are not a new concept within the transportation community. There are several projects on the state highway that use the concept of a roadway sensor initiating some type of motorist warning. To date, all of these systems are ...

  19. Multimodal warnings to enhance risk communication and safety

    NARCIS (Netherlands)

    Haas, E.C.; Erp, J.B.F. van

    2014-01-01

    Multimodal warnings incorporate audio and/or skin-based (tactile) cues to supplement or replace visual cues in environments where the user’s visual perception is busy, impaired, or nonexistent. This paper describes characteristics of audio, tactile, and multimodal warning displays and their role in

  20. 46 CFR 98.30-35 - Warning sign at gangway.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 4 2010-10-01 2010-10-01 false Warning sign at gangway. 98.30-35 Section 98.30-35 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) CARGO AND MISCELLANEOUS VESSELS SPECIAL... Warning sign at gangway. If a vessel is moored, no person may transfer to or from a portable tank a...

  1. 46 CFR 105.45-20 - Warning sign at gangway.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 4 2010-10-01 2010-10-01 false Warning sign at gangway. 105.45-20 Section 105.45-20 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) CARGO AND MISCELLANEOUS VESSELS... sign at gangway. (a) Warning placards shall be kept at hand for display while a vessel is fast to a...

  2. The Mental Health Counselor and "Duty to Warn."

    Science.gov (United States)

    Pietrofesa, John J.; And Others

    1990-01-01

    Reviews background and case histories surrounding legal concept of "duty to warn" and confidentiality limits of counseling. Discusses professional, ethical, and legal responsibilities of mental health counselors and identifies steps to follow for counselors who have to warn potential victims of danger from their clients. (Author/ABL)

  3. The investigation of early warning signs of aggression in forensic

    NARCIS (Netherlands)

    Frans Fluttert; prof Berno van Meijel; Mieke Grypdonck; Bjørkly Stal; Mirjan van Leeuwen

    2012-01-01

    Aims and objectives. The Forensic Early Warning Signs of Aggression Inventory (FESAI) was developed to assist nurses and patients in identifying early warning signs and constructing individual early detection plans (EDP) for the prevention of aggressive incidents. The aims of this research were as

  4. The Effect of Cancer Warning Statements on Alcohol Consumption Intentions

    Science.gov (United States)

    Pettigrew, Simone; Jongenelis, Michelle I.; Glance, David; Chikritzhs, Tanya; Pratt, Iain S.; Slevin, Terry; Liang, Wenbin; Wakefield, Melanie

    2016-01-01

    In response to increasing calls to introduce warning labels on alcoholic beverages, this study investigated the potential effectiveness of alcohol warning statements designed to increase awareness of the alcohol-cancer link. A national online survey was administered to a diverse sample of Australian adult drinkers (n = 1,680). Along with…

  5. Real-time earthquake monitoring for tsunami warning in the Indian Ocean and beyond

    Directory of Open Access Journals (Sweden)

    W. Hanka

    2010-12-01

    Full Text Available The Mw = 9.3 Sumatra earthquake of 26 December 2004 generated a tsunami that affected the entire Indian Ocean region and caused approximately 230 000 fatalities. In the response to this tragedy the German government funded the German Indonesian Tsunami Early Warning System (GITEWS Project. The task of the GEOFON group of GFZ Potsdam was to develop and implement the seismological component. In this paper we describe the concept of the GITEWS earthquake monitoring system and report on its present status. The major challenge for earthquake monitoring within a tsunami warning system is to deliver rapid information about location, depth, size and possibly other source parameters. This is particularly true for coast lines adjacent to the potential source areas such as the Sunda trench where these parameters are required within a few minutes after the event in order to be able to warn the population before the potential tsunami hits the neighbouring coastal areas. Therefore, the key for a seismic monitoring system with short warning times adequate for Indonesia is a dense real-time seismic network across Indonesia with densifications close to the Sunda trench. A substantial number of supplementary stations in other Indian Ocean rim countries are added to strengthen the teleseismic monitoring capabilities. The installation of the new GITEWS seismic network – consisting of 31 combined broadband and strong motion stations – out of these 21 stations in Indonesia – is almost completed. The real-time data collection is using a private VSAT communication system with hubs in Jakarta and Vienna. In addition, all available seismic real-time data from the other seismic networks in Indonesia and other Indian Ocean rim countries are acquired also directly by VSAT or by Internet at the Indonesian Tsunami Warning Centre in Jakarta and the resulting "virtual" network of more than 230 stations can jointly be used for seismic data processing. The

  6. Majalaya Flood Early Warning System: A Community Based Approach

    Science.gov (United States)

    Junnaedhi, I. Dewa Gede A.; Riawan, Edi; Suwarman, Rusmawan; Wahyu Hadi, Tri; Lubis, Atika; Joko Trilaksono, Nurjanna; Rahayu, Rahmawati; Kombara, PrawiraYudha; Waskito, Riki; Ekalaya Oktora, Hendra; Supriatna, Rahmat; Anugrah, Aan; Haq Mudzakkir, Abdul; Setiawan, Wawar

    2017-06-01

    Majalaya, a small city to the south-east of Bandung, was hit by flood almost every year. From January to June 2016, up to 5 severe floods and 4 moderate floods have hit this city. Although it usually not last for long, but the flood stream could be very rapid, thus have a high potential to bring damage to the city. Starting from 2012, ITB through Weather and Climate Prediction Laboratory (WCPL) has support Garda Caah (flood watcher society in Majalaya) with weather prediction system. In the late 2015, ITB also enhancing Garda Caah observation system by installing several Automatic Weather Station (AWS) and Automatic Water Level Recorder (AWLR) throughout Majalaya upstream area. The instruments itself was supported by a re-insurance company MAIPARK and some was built in house by WCPL. The collaboration between ITB, Garda Caah, and Majalaya citizens has been proved to be mutually beneficial. Garda Caah could get more accurate and faster observation and enhanced knowledge, thus could provide a better flood warning for Majalaya citizens. On the other hand, ITB could get data from observation network, with more efficient way to maintain observation instruments as it done by Garda Caah and other Majalaya citizens.

  7. The role of integrating natural and social science concepts for risk governance and the design of people-centred early warning systems. Case study from the German-Indonesian Tsunami Early Warning System Project (GITEWS)

    Science.gov (United States)

    Gebert, Niklas; Post, Joachim

    2010-05-01

    . This requires the integration of natural / spatial and social science concepts, methods and data: E.g. a scenario based approach for tsunami inundation modeling was developed to provide decision makers with options to decide up to what level they aim to protect their people and territory, on the contrary household surveys were conducted for the spatial analysis of the evacuation preparedness of the population as a function of place specific hazard, risk, warning and evacuation perception; remote sensing was applied for the spatial analysis (land-use) of the socio-physical conditions of a city and region for evacuation; and existing social / population statistics were combined with land-use data for the precise spatial mapping of the population exposed to tsunami risks. Only by utilizing such a comprehensive assessment approach valuable information for risk governance can be generated. The results are mapped using GIS and designed according to the specific needs of different end-users, such as public authorities involved in the design of warning dissemination strategies, land-use planners (shelter planning, road network configuration) and NGOs mandated to provide education for the general public on tsunami risk and evacuation behavior. The case study of the city of Padang (one of the pilot areas of GITEWS), Indonesia clearly show, that only by intersecting social (vulnerability) and natural hazards research a comprehensive picture on tsunami risk can be provided with which risk governance in the early warning context can be conducted in a comprehensive, systemic and sustainable manner.

  8. Tsunami Warning Criteria for Cascadia events based on Tsunami models

    Science.gov (United States)

    Huang, P. Y.; Nyland, D. L.; Knight, W.; Gately, K.; Hale, D.; Urban, G.; Waddell, J.; Carrick, J.; Popham, C.; Bahng, B.; Kim, Y.; Burgy, M.; Langley, S.; Preller, C. C.; Whitmore, P.

    2013-12-01

    Initial tsunami warning, advisory, and watch zones for potential Cascadia earthquakes have been revised based on maximum expected threat for tsunamis generated by earthquakes in this region. Presently, alert zones are initially based on travel time for earthquakes greater than magnitude 7.8 with all areas less than three hours away from the source being put into a tsunami warning. The impact of this change is to reduce the length of coastline which is immediately put it into a warning status. Tsunami Warning Centers often delineate initial tsunami alert zones based on pre-set criteria dependent on earthquake magnitude, location, depth, and tsunami travel time. In many cases, this approach can lead to over-warning. Over the last several years, the West Coast/Alaska Tsunami Warning Center (WCATWC) has attempted to refine the amount of coastline immediately placed in a warning status based on maximum expected threat instead of travel time. Tsunami forecast models used to predict impacts during events (for example, Alaska Tsunami Forecast Model (ATFM), Short-term Inundation Forecasting for Tsunamis (SIFT), and Rapid Inundation Forecasting of Tsunamis (RIFT)) can also be used a-priori to delineate zones at-risk for specified source zones. forecast models have proven reasonably accurate during recent events. For the Cascadia Subduction zone, several rupture scenarios ranging from magnitude 7.9 to 9.2, were computed. Forecasted wave heights at various points are then used to set the initial Warning/Watch/Advisory regions. This procedure is more efficient than a blanket warning - or a refined warning based on travel times - as appropriate threat levels are assigned based on expected impact. For example, after a magnitude 8.7 earthquake in the southern Cascadia Subduction zone, southern and most of central California can be left out of the warning zone and placed in an advisory, as none of this region contains expected impacts in the warning threshold (tsunami amplitude

  9. Recovery of Unrelated Donors of Peripheral Blood Stem Cells versus Recovery of Unrelated Donors of Bone Marrow: A Prespecified Analysis from the Phase III Blood and Marrow Transplant Clinical Trials Network Protocol 0201.

    Science.gov (United States)

    Burns, Linda J; Logan, Brent R; Chitphakdithai, Pintip; Miller, John P; Drexler, Rebecca; Spellman, Stephen; Switzer, Galen E; Wingard, John R; Anasetti, Claudio; Confer, Dennis L

    2016-06-01

    We report a comparison of time to recovery, side effects, and change in blood counts from baseline to after donation from unrelated donors who participated in the Blood and Marrow Transplant Clinical Trials Network phase III randomized, multicenter trial (0201) in which donor-recipient pairs were randomized to either peripheral blood stem cell (PBSC) or bone marrow (BM) donation. Of the entire cohort, 262 donated PBSC and 264 donated BM; 372 (71%) donors were from domestic and 154 (29%) were from international centers (145 German and 9 Canadian). PBSC donors recovered in less time, with a median time to recovery of 1 week compared with 2.3 weeks for BM donors. The number of donors reporting full recovery was significantly greater for donors of PBSC than of BM at 1, 2, and 3 weeks and 3 months after donation. Multivariate analysis showed that PBSC donors were more likely to recover at any time after donation compared with BM donors (hazard ratio, 2.08; 95% confidence interval [CI], 1.73 to 2.50; P hemoglobin. This analysis provided an enhanced understanding of donor events as product donated was independent of physician bias or donor preference. Copyright © 2016 The American Society for Blood and Marrow Transplantation. Published by Elsevier Inc. All rights reserved.

  10. Paediatric early warning systems: where do we go from here?

    Science.gov (United States)

    McCabe, Adrienne; Duncan, Heather; Heward, Yvonne

    2009-02-01

    The Confidential Enquiry into Maternal and Child Health report published in 2008 recommended that there should be a standardised monitoring system with embedded early identification systems for children at risk of critical illness or deterioration. Recent studies have demonstrated improvement in patient outcomes following the implementation of paediatric early warning scores and response teams in children's units and hospitals. However, it is not enough to use an early warning score in isolation; it needs to be embedded into a paediatric early warning system, with a rationalised approach to the observation and monitoring of hospitalised children. Lessons can be learnt from the adult experience of implementing early warning systems. A national, multidisciplinary, collaborative approach to the development, implementation and evaluation of paediatric early warning systems is recommended.

  11. Special issue on warnings: advances in delivery, application, and methods.

    Science.gov (United States)

    Mayhorn, Christopher B; Wogalter, Michael S; Laughery, Kenneth R

    2014-09-01

    This special issue of Applied Ergonomics concerns the topic of warnings, safety communications designed to decrease harm to people and property. The field has evolved over time, and with it there has been advancement in knowledge and application. The current special issue contains 14 articles that reflect three distinguishable areas within the warnings literature where such changes are taking place in the laboratories and workplaces of our international colleagues: (1) multimodality of warning delivery, (2) emerging application areas, and (3) new methodology. This special issue brings together a set of studies investigating various factors that might impact safety behavior in diverse settings and domains where warnings are likely to be encountered. It is our hope that the special issue will motivate to development and exploration of new ideas regarding warning design and their use in a variety of applications that improve safety. Copyright © 2014 Elsevier Ltd and The Ergonomics Society. All rights reserved.

  12. The 24-hour night shift : Astronomy from microlensing monitoring networks

    NARCIS (Netherlands)

    Sackett, PD; Brainerd, TG; Kochanek, CS

    2001-01-01

    Scores of on-going microlensing events are now announced yearly by the microlensing discovery teams OGLE, MACHO and EROS. These early warning systems have allowed other international microlensing networks to focus considerable resources on intense photometric and occasionally spectroscopic -

  13. Prevention of railway trespassing by automatic sound warning-A pilot study.

    Science.gov (United States)

    Kallberg, Veli-Pekka; Silla, Anne

    2017-04-03

    The objective of this study was to investigate the effects of a sound warning system on the frequency of trespassing at 2 pilot test sites in Finland. The effect of automatic prerecorded sound warning on the prevention of railway trespassing was evaluated based on observations at 2 test sites in Finland. At both sites an illegal footpath crossed the railway, and the average daily number of trespassers before implementation of the measures was about 18 at both sites. The results showed that trespassing was reduced at these sites by 18 and 44%, respectively. Because of the lack of proper control sites, it is possible that the real effects of the measure are somewhat smaller. The current study concludes that automatic sound warning may be efficient and cost effective at locations where fencing is not a viable option. However, it is not likely to be a cost-effective panacea for all kinds of sites where trespassing occurs, especially in countries like Finland where trespassing is scattered along the railway network rather than concentrated to a limited number of sites.

  14. Car Gestures - Advisory warning using additional steering wheel angles.

    Science.gov (United States)

    Maag, Christian; Schneider, Norbert; Lübbeke, Thomas; Weisswange, Thomas H; Goerick, Christian

    2015-10-01

    Advisory warning systems (AWS) notify the driver about upcoming hazards. This is in contrast to the majority of currently deployed advanced driver assistance systems (ADAS) that manage emergency situations. The target of this study is to investigate the effectiveness, acceptance, and controllability of a specific kind of AWS that uses the haptic information channel for warning the driver. This could be beneficial, as alternatives for using the visual modality can help to reduce the risk of visual overload. The driving simulator study (N=24) compared an AWS based on additional steering wheel angle control (Car Gestures) with a visual warning presented in a simulated head-up display (HUD). Both types of warning were activated 3.5s before the hazard object was reached. An additional condition of unassisted driving completed the experimental design. The subjects encountered potential hazards in a variety of urban situations (e.g. a pedestrian standing on the curbs). For the investigated situations, subjective ratings show that a majority of drivers prefer visual warnings over haptic information via gestures. An analysis of driving behavior indicates that both warning approaches guide the vehicle away from the potential hazard. Whereas gestures lead to a faster lateral driving reaction (compared to HUD warnings), the visual warnings result in a greater safety benefit (measured by the minimum distance to the hazard object). A controllability study with gestures in the wrong direction (i.e. leading toward the hazard object) shows that drivers are able to cope with wrong haptic warnings and safety is not reduced compared to unassisted driving as well as compared to (correct) haptic gestures and visual warnings. Copyright © 2015 Elsevier Ltd. All rights reserved.

  15. Operators in Yemen draw warning from Saudis

    International Nuclear Information System (INIS)

    Anon.

    1992-01-01

    This paper reports that foreign oil companies with concessions in northern Yemen have been drawn into a border dispute between Yemen and Saudi Arabia. At least six companies received letters from the Saudi government warning them that steps, as yet undefined, will be taken if exploration extends into disputed areas. A second territorial dispute also appears to be brewing in the region. Iran has ejected United Arab Emirates nationals from the island of Abu Musa in the Persian Gulf, which is jointly administered by Iran and Sharjah, one of the emirates. The U.A.E. government has reported the situation to the Gulf Cooperation Council, triggering a denial from Iran that anyone has been deported from the island

  16. Ionizing-radiation warning - Supplementary symbol

    International Nuclear Information System (INIS)

    2007-01-01

    This International Standard specifies the symbol to warn of the presence of a dangerous level of ionizing radiation from a high-level sealed radioactive source that can cause death or serious injury if handled carelessly. This symbol is not intended to replace the basic ionizing radiation symbol [ISO 361, ISO 7010:2003, Table 1 (Reference number W003)], but to supplement it by providing further information on the danger associated with the source and the necessity for untrained or uninformed members of the public to stay away from it. This symbol is recommended for use with International Atomic Energy Agency (IAEA) Category 1, 2, and 3 sealed radioactive sources. These sources are defined by the IAEA as having the ability to cause death or serious injuries. The paper informs about scope, shape, proportions and colour of the symbol, and application of the symbol. An annex provides the technical specifications of the symbol

  17. 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

  18. Benefits of Earthquake Early Warning to Large Municipalities (Invited)

    Science.gov (United States)

    Featherstone, J.

    2013-12-01

    The City of Los Angeles has been involved in the testing of the Cal Tech Shake Alert, Earthquake Early Warning (EQEW) system, since February 2012. This system accesses a network of seismic monitors installed throughout California. The system analyzes and processes seismic information, and transmits a warning (audible and visual) when an earthquake occurs. In late 2011, the City of Los Angeles Emergency Management Department (EMD) was approached by Cal Tech regarding EQEW, and immediately recognized the value of the system. Simultaneously, EMD was in the process of finalizing a report by a multi-discipline team that visited Japan in December 2011, which spoke to the effectiveness of EQEW for the March 11, 2011 earthquake that struck that country. Information collected by the team confirmed that the EQEW systems proved to be very effective in alerting the population of the impending earthquake. The EQEW in Japan is also tied to mechanical safeguards, such as the stopping of high-speed trains. For a city the size and complexity of Los Angeles, the implementation of a reliable EQEW system will save lives, reduce loss, ensure effective and rapid emergency response, and will greatly enhance the ability of the region to recovery from a damaging earthquake. The current Shake Alert system is being tested at several governmental organizations and private businesses in the region. EMD, in cooperation with Cal Tech, identified several locations internal to the City where the system would have an immediate benefit. These include the staff offices within EMD, the Los Angeles Police Department's Real Time Analysis and Critical Response Division (24 hour crime center), and the Los Angeles Fire Department's Metropolitan Fire Communications (911 Dispatch). All three of these agencies routinely manage the collaboration and coordination of citywide emergency information and response during times of crisis. Having these three key public safety offices connected and included in the

  19. Challenges for operational forecasting and early warning of rainfall induced landslides

    Science.gov (United States)

    Guzzetti, Fausto

    2017-04-01

    models. Building on the experience gained in designing, implementing, and operating national and regional landslide forecasting systems in Italy, and on a preliminary review of the existing literature on regional landslide early warning systems, the talk discusses concepts, limitations and challenges inherent to the design of reliable forecasting and early warning systems for rainfall-triggered landslides, the evaluation of the performances of the systems, and on problems related to the use of the forecasts and the issuing of landslide warnings. Several of the typical elements of an operational landslide forecasting system are considered, including: (i) the rainfall and landslide information used to establish the threshold models, (ii) the methods and tools used to define the empirical rainfall thresholds, and their associated uncertainty, (iii) the quality (e.g., the temporal and spatial resolution) of the rainfall information used for operational forecasting, including rain gauge and radar measurements, satellite estimates, and quantitative weather forecasts, (iv) the ancillary information used to prepare the forecasts, including e.g., the terrain subdivisions and the landslide susceptibility zonations, (v) the criteria used to transform the forecasts into landslide warnings and the methods used to communicate the warnings, and (vi) the criteria and strategies adopted to evaluate the performances of the systems, and to define minimum or optimal performance levels.

  20. The Path Towards Public Earthquake Early Warning for the Western U.S.

    Science.gov (United States)

    Cochran, E. S.

    2016-12-01

    Seconds of advanced warning of imminent strong shaking from an earthquake underway can be used to trigger a range of automated responses to reduce losses and warn the public to take protective action. A prototype earthquake early warning (EEW) system has been in operation for the west coast of the United States since February 2016. Alerts produced by the EEW system, known as ShakeAlert, will be an additional product of the Advanced National Seismic System regional networks in California and the Pacific Northwest. ShakeAlert is operated by the U.S. Geological Survey and has been developed in close collaboration with partners at several universities, including UC Berkeley, Caltech, and University of Washington. The system is currently based on a set of algorithms that determine point source information (magnitude, location, and origin time) from real-time seismic data. This point source information can then be used to estimate expected ground shaking at a user's location and issue a warning or trigger an action if expected ground shaking exceeds a user-defined threshold. In this presentation, I describe the current system as well as ongoing developments, including seismic- and geodetic-based finite fault algorithms, an improved aggregator of alerts, and improvements to estimate expected ground-shaking levels. Additionally, I describe efforts to assess the performance of the system both in terms of how closely alerts match to catalog information and whether an appropriate action would have been initiated by an end user at a defined shaking threshold. Finally, I briefly describe issues related to alert distribution, as well as outcomes from pilot projects that are employing ShakeAlert messages and helping to define best practices for use of EEW in various sectors, e.g. emergency management, transportation, education, and others.

  1. An on-site alert level early warning system for Italy

    Science.gov (United States)

    Caruso, Alessandro; Colombelli, Simona; Elia, Luca; Zollo, Aldo

    2017-04-01

    An Earthquake Early Warning (EEW) system is a real-time seismic monitoring infrastructure that has the capability to provide warnings to target cities before the arrival of the strongest shaking waves. In order to provide a rapid alert when targets are very close to the epicenter of the events, we developed an on-site EEW approach and evaluated its performance at the nation-wide scale of Italy. We use a single-station, P-wave based method that measures in real-time two ground motion quantities along the early P-wave signal: the initial Peak Displacement (Pd) and the average period parameter (τc). In output, the system provides the predicted ground shaking intensity at the monitored site, the alert level (as defined by Zollo et al., 2010) and a qualitative classification of both earthquake magnitude and source-to-receiver distance. We applied the on-site EEW methodology to a dataset of Italian earthquakes, recorded by the Italian accelerometric network, with magnitude ranging from 3.8 to 6, and evaluated the performance of the system in terms of correct warning and lead-times (i.e., time available for security actions at the target). The results of this retrospective analysis show that, for the large majority of the analyzed cases, the method is able to deliver a correct warning shortly after the P-wave detection, with more than 80% of successful intensity predictions at the target site. The lead-times increase with distance, with a value of 2-6 seconds at 30 km, 8-10 seconds at 50 km and 15-18 seconds at 100 km.

  2. Comparing Alcohol Marketing and Alcohol Warning Message Policies Across Canada.

    Science.gov (United States)

    Wettlaufer, Ashley; Cukier, Samantha N; Giesbrecht, Norman

    2017-08-24

    In order to reduce harms from alcohol, evidence-based policies are to be introduced and sustained. To facilitate the dissemination of policies that reduce alcohol-related harms by documenting, comparing, and sharing information on effective alcohol polices related to restrictions on alcohol marketing and alcohol warning messaging in 10 Canadian provinces. Team members developed measurable indicators to assess policies on (a) restrictions on alcohol marketing, and (b) alcohol warning messaging. Indicators were peer-reviewed by three alcohol policy experts, refined, and data were collected, submitted for validation by provincial experts, and scored independently by two team members. The national average score was 52% for restrictions on marketing policies and 18% for alcohol warning message policies. Most provinces had marketing regulations that went beyond the federal guidelines with penalties for violating marketing regulations. The provincial liquor boards' web pages focused on product promotion, and there were few restrictions on sponsorship activities. No province has implemented alcohol warning labels, and Ontario was the sole province to have legislated warning signs at all points-of-sale. Most provinces provided a variety of warning signs to be displayed voluntarily at points-of-sale; however, the quality of messages varied. Conclusions/Importance: There is extensive alcohol marketing with comparatively few messages focused on the potential harms associated with alcohol. It is recommended that governments collaborate with multiple stakeholders to maximize the preventive impact of restrictions on alcohol marketing and advertising, and a broader implementation of alcohol warning messages.

  3. Predictors for the Number of Warning Information Sources During Tornadoes.

    Science.gov (United States)

    Cong, Zhen; Luo, Jianjun; Liang, Daan; Nejat, Ali

    2017-04-01

    People may receive tornado warnings from multiple information sources, but little is known about factors that affect the number of warning information sources (WISs). This study examined predictors for the number of WISs with a telephone survey on randomly sampled residents in Tuscaloosa, Alabama, and Joplin, Missouri, approximately 1 year after both cities were struck by violent tornadoes (EF4 and EF5) in 2011. The survey included 1006 finished interviews and the working sample included 903 respondents. Poisson regression and Zero-Inflated Poisson regression showed that older age and having an emergency plan predicted more WISs in both cities. Education, marital status, and gender affected the possibilities of receiving warnings and the number of WISs either in Joplin or in Tuscaloosa. The findings suggest that social disparity affects the access to warnings not only with respect to the likelihood of receiving any warnings but also with respect to the number of WISs. In addition, historical and social contexts are important for examining predictors for the number of WISs. We recommend that the number of WISs should be regarded as an important measure to evaluate access to warnings in addition to the likelihood of receiving warnings. (Disaster Med Public Health Preparedness. 2017;11:168-172).

  4. 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.

  5. Health warning messages on tobacco products: a review.

    Science.gov (United States)

    Hammond, David

    2011-09-01

    To review evidence on the impact of health warning messages on tobacco packages. Articles were identified through electronic databases of published articles, as well as relevant 'grey' literature using the following keywords: health warning, health message, health communication, label and labelling in conjunction with at least one of the following terms: smoking, tobacco, cigarette, product, package and pack. Relevant articles available prior to January 2011 were screened for six methodological criteria. A total of 94 original original articles met inclusion criteria, including 72 quantitative studies, 16 qualitative studies, 5 studies with both qualitative and qualitative components, and 1 review paper: Canada (n=35), USA (n=29) Australia (n=16), UK (n=13), The Netherlands (n=3), France (n=3), New Zealand (n=3), Mexico (n=3), Brazil (n=2), Belgium (n=1), other European countries (n=10), Norway (n=1), Malaysia (n=1) and China (n=1). The evidence indicates that the impact of health warnings depends upon their size and whereas obscure text-only warnings appear to have little impact, prominent health warnings on the face of packages serve as a prominent source of health information for smokers and non-smokers, can increase health knowledge and perceptions of risk and can promote smoking cessation. The evidence also indicates that comprehensive warnings are effective among youth and may help to prevent smoking initiation. Pictorial health warnings that elicit strong emotional reactions are significantly more effective. Health warnings on packages are among the most direct and prominent means of communicating with smokers. Larger warnings with pictures are significantly more effective than smaller, text-only messages.

  6. Antithrombin III blood test

    Science.gov (United States)

    ... medlineplus.gov/ency/article/003661.htm Antithrombin III blood test To use the sharing features on this page, ... a protein that helps control blood clotting. A blood test can determine the amount of AT III present ...

  7. Geographic information system applications to public warning systems

    International Nuclear Information System (INIS)

    Newsom, D.E.

    1990-01-01

    This paper describes the capabilities of a geographic information system (GIS), the Integrated Emergency Management Information System (IEMIS), for planning a siren-based public warning system. The Outdoor Sound Propagation Model (OSPM) in IEMIS models warning sirens in a given area and reports the results graphically as sound pressure level contours. As implemented in IEMIS, OSPM includes graphic functions for the preparation and display of input data, display of the model's results, and management of data files. These graphic functions enable public safety personnel to plan more effectively for warning of the public

  8. 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

  9. Early warning system realized by ENVINET a.s., domestic and abroad

    International Nuclear Information System (INIS)

    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

  10. 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

  11. A comparative study of data-driven approaches for flood early warning in small catchments

    Science.gov (United States)

    Metzkes, Christine; Singer, Thomas; Wagner, Michael; Philipp, Andy; Kerl, Florian; Schütze, Niels

    2017-04-01

    Flood early warning for small catchments is a challenging task: As the basin response is fast, proper warning lead times strongly depend on precipitation forecasts which are subject to quantitative and spatial uncertainties. In addition, gauge data in small catchments is often sparse and therefore, the hydrological regime is hardly known. In presence of these uncertainties, the benefit of different model approaches in terms of their predictive quality and their transferability to ungauged catchments is in question. For investigating this issue, two data-driven model approaches of different complexity were developed and comparatively tested. The first model is an artificial neural network for flood forecasting, in particular a two-layer perceptron feedforward network. Precipitation and discharge here serve as forcing data. The second approach is a flood potential assessment procedure. Precipitation history and precipitation forecasts are classified based on threshold values from a precipitation analysis. From this, a score of flood potential is derived. For the model evaluation a quantile-based mapping procedure is used to assign the resulting scores to catchment-specific discharge values. The two model approaches have been tested on 50 catchments in Saxony, Germany, with areas ranging from 5 to 1000 km2. Two datasets of quantitative precipitation estimates - one from rain gauge measurements, one from radar measurements RADOLAN - and two datasets of quantitative precipitation forecasts - a probabilistic forecast based on expert knowledge Quantile Forecast and a numerical weather forecast COSMO-DE - are used as input data. Update cycles as well as lead times are varied within the tests. The model performance is evaluated using different statistical quality criteria. Based on a Leave-one-out cross-validation, the potential of model parameter transfer to ungauged catchments is examined. The large number and the wide range of considered catchments provide a

  12. 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)

  13. Early warnings of heart rate deterioration.

    Science.gov (United States)

    Almeida, Vania G; Nabney, Ian T

    2016-08-01

    Hospitals can experience difficulty in detecting and responding to early signs of patient deterioration leading to late intensive care referrals, excess mortality and morbidity, and increased hospital costs. Our study aims to explore potential indicators of physiological deterioration by the analysis of vital-signs. The dataset used comprises heart rate (HR) measurements from MIMIC II waveform database, taken from six patients admitted to the Intensive Care Unit (ICU) and diagnosed with severe sepsis. Different indicators were considered: 1) generic early warning indicators used in ecosystems analysis (autocorrelation at-1-lag (ACF1), standard deviation (SD), skewness, kurtosis and heteroskedasticity) and 2) entropy analysis (kernel entropy and multi scale entropy). Our preliminary findings suggest that when a critical transition is approaching, the equilibrium state changes what is visible in the ACF1 and SD values, but also by the analysis of the entropy. Entropy allows to characterize the complexity of the time series during the hospital stay and can be used as an indicator of regime shifts in a patient's condition. One of the main problems is its dependency of the scale used. Our results demonstrate that different entropy scales should be used depending of the level of entropy verified.

  14. 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.

  15. Counter-Point: Early Warning Systems Are Imperfect, but Essential.

    Science.gov (United States)

    Lu, Christine Y; Simon, Gregory; Soumerai, Stephen B; Kulldorff, Martin

    2018-05-01

    Sequential analysis can be used as an early warning system about potential unintended consequences of health policy decisions, generating follow-up investigations, but it should not be used as causal evidence.

  16. Annan warns of 'content divide' between rich and poor

    CERN Multimedia

    Dickson, D

    2003-01-01

    "The Secretary-General of the United Nations, Kofi Annan, warned today (10 December) that a "content divide" is threatening to deprive developing countries of the full benefits offered by information and communications technologies (ICTs)" (1 page)

  17. Design and Evaluation of Warning Sounds in Frigate Control Centres

    National Research Council Canada - National Science Library

    van Balken, Johan S; van Wijngaarden, Sander J

    2005-01-01

    .... It appeared that for one of the most urgent warning conditions (platform alarm) a less suitable auditory signal was applied, the perceived urgency of which is relatively low, while it is also easily confused with other signals...

  18. [Impact of a health safety warning on strontium ranelate utilization].

    Science.gov (United States)

    Carracedo-Martínez, Eduardo; Pía-Morandeira, Agustín

    2010-01-01

    To evaluate changes in the use of strontium ranelate following a health safety warning in November 2007 on the risks of the development of DRESS (Drug Rash with Eosinophilia and Systemic Symptoms) with the use of this medicine. Monthly strontium ranelate DHD (daily defined doses/1,000 inhabitants/day) were calculated between 2006 and 2008 in a health area of Spain. The data were analyzed graphically and through a multiple regression model. Graphical representation showed a long-term rising trend throughout the study period, although growth slowed after the safety warning was issued. The multiple regression model showed that the health warning was statistically significant. The use of strontium ranelate continues to grow after the issue of the health safety warning, although at a slower pace than previously. Copyright (c) 2009 SESPAS. Published by Elsevier Espana. All rights reserved.

  19. Roadway departure warning indicators : synthesis of noise and bicycle research

    Science.gov (United States)

    2013-06-01

    The United States National Park Service has voiced concern about roadway departure : warning indicators (rumble strips) being installed in locations that affect the natural : sound environment inside the park. Rumble strips can effectively alert erra...

  20. Ten Warning Signs Your Older Family Member May Need Help

    Science.gov (United States)

    ... Factsheets 10 Warning Signs Adult Day Care Assistive Technology Elder Abuse Face the Facts Home Health Care Home Improvement Assistance Hospital Discharges Pension Counseling A Talk with An Elder ...

  1. Transit bus stop pedestrian warning application : concept of operations document.

    Science.gov (United States)

    2015-02-04

    This document describes the Concept of Operations (ConOps) for the Transit Bus Stop Pedestrian Warning (TSPW) application. The ConOps describes the current state of operations with respect to the integration of connected vehicle technology in transit...

  2. Metallothionein (MT)-III

    DEFF Research Database (Denmark)

    Carrasco, J; Giralt, M; Molinero, A

    1999-01-01

    and renamed as MT-III. In this study we have raised polyclonal antibodies in rabbits against recombinant rat MT-III (rMT-III). The sera obtained reacted specifically against recombinant zinc-and cadmium-saturated rMT-III, and did not cross-react with native rat MT-I and MT-II purified from the liver of zinc...... astrocyte migration in vitro, rMT-III promoted migration to a higher extent than MT-I+II. Thus, MT-III could not only affect neuronal sprouting as previously suggested, but also astrocyte function. Finally, MT-III protein levels of patients with Alzheimer's disease (AD) were, if anything, increased when...

  3. Paradoxical Effects of Warning in the Production of Children's False Memories

    Science.gov (United States)

    Del Prete, Francesco; Mirandola, Chiara; Konishi, Mahiko; Cornoldi, Cesare; Ghetti, Simona

    2014-01-01

    The effects of warning on false recognition and associated subjective experience of false recollection and familiarity were investigated in 7-to 13-year-old children and young adults (N = 259) using the Deese-Roediger-McDermott (DRM) paradigm. Two warning conditions (warning with an example of a critical lure and warning without an example of a…

  4. Communication of emergency public warnings: A social science perspective and state-of-the-art assessment

    Energy Technology Data Exchange (ETDEWEB)

    Mileti, D.S. (Colorado State Univ., Fort Collins, CO (USA)); Sorensen, J.H. (Oak Ridge National Lab., TN (USA))

    1990-08-01

    More than 200 studies of warning systems and warning response were reviewed for this social science perspective and state-of-the-art assessment of communication of emergency public warnings. The major findings are as follows. First, variations in the nature and content of warnings have a large impact on whether or not the public heeds the warning. Relevant factors include the warning source; warning channel; the consistency, credibility, accuracy, and understandability of the message; and the warning frequency. Second, characteristics of the population receiving the warning affect warning response. These include social characteristics such as gender, ethnicity and age, social setting characteristics such as stage of life or family context, psychological characteristics such as fatalism or risk perception, and knowledge characteristics such as experience or training. Third, many current myths about public response to emergency warning are at odds with knowledge derived from field investigations. Some of these myths include the keep it simple'' notion, the cry wolf'' syndrome, public panic and hysteria, and those concerning public willingness to respond to warnings. Finally, different methods of warning the public are not equally effective at providing an alert and notification in different physical and social settings. Most systems can provide a warning given three or more hours of available warning time. Special systems such as tone-alert radios are needed to provide rapid warning. 235 refs., 8 figs., 2 tabs.

  5. 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

  6. Number of warning information sources and decision making during tornadoes.

    Science.gov (United States)

    Luo, Jianjun; Cong, Zhen; Liang, Daan

    2015-03-01

    Taking proper protective action upon receiving tornado warnings is critical to reducing casualties. With more warning information sources becoming available, how the number of such information sources affects decision making should be quantitatively investigated. To examine how the number of warning information sources affected individuals' decisions to take protective action during tornadoes. A telephone survey using random sampling was conducted in 2012 with residents in Tuscaloosa AL and Joplin MO, resulting in a working sample of 782 respondents. Both cities were struck by violent tornadoes (Enhanced Fujita Scale [EF]4 and EF5) in 2011. The analysis was conducted in 2013. Logistic regression analysis showed that relative to having only one warning information source, having two and three or more warning information sources significantly increased the odds of taking protective action in Joplin but not in Tuscaloosa; having three or more sources had a significantly stronger effect on taking protective action in Joplin than in Tuscaloosa. Having an emergency preparation plan in both cities and being white in Tuscaloosa significantly increased the odds of taking protective action, whereas being divorced in Joplin reduced these odds. Receiving warnings from more warning information sources might be more beneficial in places with less previous exposure to tornadoes and for populations with lower awareness of a potential tornado and higher probability of receiving no warnings. Emergency management agencies and public health officials should give priority to these places and populations when formulating disaster mitigation decisions and policies. Copyright © 2015 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

  7. Environmental Change & Fragile States Early Warning and Intervention

    Science.gov (United States)

    2011-05-12

    Fragile States Early Warning and Intervention 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e...position of the Department of the Army, Department of Defense, or the U.S. government Environmental Change & Fragile States Early Warning and... Intervention Steven Hearne, P.E., Senior Fellow Army Environmental Policy Institute (AEPI) Jeremey Alcorn, Research Fellow Logistics Management Institute (LMI

  8. PICTORICAL WARNING PADA KEMASAN ROKOK: KOMUNIKASI PERSUASIF DALAM KAMPANYE KESEHATAN

    OpenAIRE

    Sherly Hindra Negoro

    2016-01-01

    Smoking has became the serious problem which always to be the classical dynamic of health communication’s field. Through health campaign by using pictorical warning in cigarette packs, Indonesian Government has priority to reduce the number of smokers in Indonesia. Pictorical warning in cigarette packs was regard as one of communication strategic for implementing. Health campaign has outcome that could change the health behavior for the persuadee. Visualization by using image b...

  9. Test of thermal shields for early warning station detectors

    DEFF Research Database (Denmark)

    Petersen, Jesper

    1997-01-01

    The properties of thermal shields around NaI crystal scintillators for early warning stations have been checked in order to assure that external temperature variations cannot influence the stability of the measurements.......The properties of thermal shields around NaI crystal scintillators for early warning stations have been checked in order to assure that external temperature variations cannot influence the stability of the measurements....

  10. 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.

  11. 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

  12. Development of Generic Tools for Coastal Early Warning and Decision Support

    Directory of Open Access Journals (Sweden)

    Bogaard Tom

    2016-01-01

    Full Text Available Recent and historic high-impact events demonstrated coastal risk (Xynthia, Europe, 2010; Katrina, USA, 2005. This is only to get worse, because risk is increasing due to increase in both hazard intensity, frequency and increase in consequences (increased coastal development. Adaptation requires a re-evaluation of coastal disaster risk reduction (DRR strategies and a new mix of prevention, mitigation (e.g. limiting construction in flood-prone areas and preparedness (e.g. Early warning systems, EWS measures. Within the EU funded project RISC-KIT the focus is on preparedness measures and its aim is to demonstrate robustness and applicability of coastal EWS (Early Warning Systems and DSS (Decision Support Systems. Delft-FEWS, a generic tool for Early Warning Systems has been extended, to be applied at sites all across Europe. The challenges for developing a modern EWS are found in the integration of large data sets, specialised modules to process the data, and open interfaces to allow easy integration of existing modelling capacities. In response to these challenges, Delft-FEWS provides a state of the art EWS framework, which is highly customizable to the specific requirements of an individual organisation. For ten case study sites on all EU regional seas a EWS has been developed, to provide real-time (short-term forecasts and early warnings. The EWS component is a 2D model framework of hydro-meteo and morphological models which computes hazard intensities. The total expected impact of a hazard can be obtained by using a Bayesian network DSS. This DSS, which is incorporated in the Delft-FEWS platform is a tool that links coastal multi-hazards to their socioeconomic and environmental consequences. An important innovation of the EWS/DSS lies in its application in dual mode: as a forecast and warning system and as a consistent ex-ante planning tool to evaluate the long-term vulnerability due to multiple (low-frequency coastal hazards, under various

  13. Obstetric early warning systems to prevent bad outcome.

    Science.gov (United States)

    Quinn, Audrey Catherine; Meek, Tim; Waldmann, Carl

    2016-06-01

    Early warning scores, early warning systems and rapid response systems, were established in 1999. In the UK, a National Early Warning Score was launched in 2013 and is now used throughout the National Health Service. In 2007, a firm recommendation was made by the maternal confidential death enquiry that maternity units should incorporate a modified early obstetric warning score chart into clinical practice. Although there was enthusiastic uptake of this recommendation, local recording systems vary throughout the country and there is now a need to revisit revise and standardize an obstetric early warning system (ObsEWS). The intercollegiate Maternal Critical Care group of the Obstetric Anaesthetists' Association have produced an ObsEWS in line with the aggregate UK National Early Warning Score. Six physiological parameters are incorporated: respiratory rate, oxygen saturations, temperature, systolic blood pressure, diastolic blood pressure, and pulse rate. However, robust physiological thresholds for the measured parameters are currently lacking but required for a more sensitive and specific ObsEWS. A greater focus and study on the management of maternal morbidity (in addition to mortality data) and the development of better systems within and across the multidisciplinary team to detect early deterioration should improve management of serious illness in obstetrics. It is imperative that we undertake robust ObsEWS and data collection, including electronic systems with research and evidence-based recommendations to underpin this system. This should improve patient safety and result in more efficient, cost-effective management of sicker patients in our complex modern healthcare systems.

  14. 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.

  15. Improving the effectiveness of nighttime temporary traffic control warning devices, volume 2 : evaluation of nighttime mobile warning lights.

    Science.gov (United States)

    2013-11-01

    Vehicle-mounted warning lights for nighttime mobile highway operations provide critical protection to workers and the driving : public. Alerting the traveling public of the approaching work activity and providing guidance is vital to maintaining safe...

  16. 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...

  17. Design and evaluation of security multimedia warnings for children's smartphones

    Science.gov (United States)

    Menzel, Wiebke; Tuchscheerer, Sven; Fruth, Jana; Kraetzer, Christian; Dittmann, Jana

    2012-02-01

    This article describes primarily the development and empiric validation of a design for security warning messages on smartphones for primary school children (7-10 years old). Our design approach for security warnings for children uses a specific character and is based on recommendations of a paediatrician expert. The design criteria are adapted to children's skills, e.g. their visual, acoustic, and haptic perception and their literacy. The developed security warnings are prototypically implemented in an iOS application (on the iPhone 3G/4G) where children are warned by a simulated anti-malware background service, while they are busy with another task. For the evaluation we select methods for empiric validation of the design approach from the field of usability testing ("think aloud" test, questionnaires, log-files, etc.). Our security warnings prototype is evaluated in an empiric user study with 13 primary school children, aged between 8 and 9 years and of different gender (5 girls, 8 boys). The evaluation analysis shows, that nearly all children liked the design of our security warnings. Surprisingly, on several security warning messages most of the children react in the right way after reading the warning, although the meaning couldn't be interpreted in the right way. Another interesting result is, that several children relate specific information, e.g. update, to a specific character. Furthermore, it could be seen that most of the primary school test candidates have little awareness of security threats on smartphones. It is a very strong argument to develop e.g. tutorials or websites in order to raise awareness and teach children how to recognize security threats and how to react to them. Our design approach of security warnings for children's smartphones can be a basis for warning on other systems or applications like tutorials, which are used by children. In a second investigation, we focus on webpages, designed for children since smartphones and webpages (the

  18. Assessment Analysis and Forecasting for Security Early Warning of Energy Consumption Carbon Emissions in Hebei Province, China

    Directory of Open Access Journals (Sweden)

    Yi Liang

    2017-03-01

    Full Text Available Against the backdrop of increasingly serious global climate change and the development of the low-carbon economy, the coordination between energy consumption carbon emissions (ECCE and regional population, resources, environment, economy and society has become an important subject. In this paper, the research focuses on the security early warning of ECCE in Hebei Province, China. First, an assessment index system of the security early warning of ECCE is constructed based on the pressure-state-response (P-S-R model. Then, the variance method and linearity weighted method are used to calculate the security early warning index of ECCE. From the two dimensions of time series and spatial pattern, the security early warning conditions of ECCE are analyzed in depth. Finally, with the assessment analysis of the data from 2000 to 2014, the prediction of the security early warning of carbon emissions from 2015 to 2020 is given, using a back propagation neural network based on a kidney-inspired algorithm (KA-BPNN model. The results indicate that: (1 from 2000 to 2014, the security comprehensive index of ECCE demonstrates a fluctuating upward trend in general and the trend of the alarm level is “Severe warning”–“Moderate warning”–“Slight warning”; (2 there is a big spatial difference in the security of ECCE, with relatively high-security alarm level in the north while it is relatively low in the other areas; (3 the security index shows the trend of continuing improvement from 2015 to 2020, however the security level will remain in the state of “Semi-secure” for a long time and the corresponding alarm is still in the state of “Slight warning”, reflecting that the situation is still not optimistic.

  19. 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.

  20. Augmented reality warnings in vehicles: Effects of modality and specificity on effectiveness.

    Science.gov (United States)

    Schwarz, Felix; Fastenmeier, Wolfgang

    2017-04-01

    In the future, vehicles will be able to warn drivers of hidden dangers before they are visible. Specific warning information about these hazards could improve drivers' reactions and the warning effectiveness, but could also impair them, for example, by additional cognitive-processing costs. In a driving simulator study with 88 participants, we investigated the effects of modality (auditory vs. visual) and specificity (low vs. high) on warning effectiveness. For the specific warnings, we used augmented reality as an advanced technology to display the additional auditory or visual warning information. Part one of the study concentrates on the effectiveness of necessary warnings and part two on the drivers' compliance despite false alarms. For the first warning scenario, we found several positive main effects of specificity. However, subsequent effects of specificity were moderated by the modality of the warnings. The specific visual warnings were observed to have advantages over the three other warning designs concerning gaze and braking reaction times, passing speeds and collision rates. Besides the true alarms, braking reaction times as well as subjective evaluation after these warnings were still improved despite false alarms. The specific auditory warnings were revealed to have only a few advantages, but also several disadvantages. The results further indicate that the exact coding of additional information, beyond its mere amount and modality, plays an important role. Moreover, the observed advantages of the specific visual warnings highlight the potential benefit of augmented reality coding to improve future collision warnings. Copyright © 2017 Elsevier Ltd. All rights reserved.

  1. 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

  2. Contribution of an exposure indicator to better anticipate damages with the AIGA flood warning method: a case study in the South of France

    Science.gov (United States)

    Saint-Martin, Clotilde; Fouchier, Catherine; Douvinet, Johnny; Javelle, Pierre; Vinet, Freddy

    2016-04-01

    On the 3rd October 2015, heavy localized precipitations have occurred in South Eastern France leading to major flash floods on the Mediterranean coast. The severity of those floods has caused 20 fatalities and important damage in almost 50 municipalities in the French administrative area of Alpes-Maritimes. The local recording rain gauges have shown how fast the event has happened: 156 mm of rain were recorded in Mandelieu-la-Napoule and 145 mm in Cannes within 2 hours. As the affected rivers are not monitored, no anticipation was possible from the authorities in charge of risk management. In this case, forecasting floods is indeed complex because of the small size of the watersheds which implies a reduced catchment response time. In order to cope with the need of issuing flood warnings on un-monitored small catchments, Irstea and Météo-France have developed an alternative warning system for ungauged basins called the AIGA method. AIGA is a flood warning system based on a simple distributed hydrological model run at a 1 km² resolution using real time radar rainfall information (Javelle, Demargne, Defrance, Pansu, & Arnaud, 2014). The flood warnings, produced every 15 minutes, result of the comparison of the real time runoff data produced by the model with statistical runoff values. AIGA is running in real time in the South of France, within the RHYTMME project (https://rhytmme.irstea.fr/). Work is on-going in order to offer a similar service for the whole French territory. More than 200 impacts of the 3rd October floods have been located using media, social networks and fieldwork. The first comparisons between these impacts and the AIGA warning levels computed for this event show several discrepancies. However, these latter discrepancies appear to be explained by the land-use. An indicator of the exposure of territories to flooding has thus been created to weight the levels of the AIGA hydrological warnings with the land-use of the area surrounding the streams

  3. 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

  4. 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

  5. Metrology for the radiological early warning system in Europe. The ''MetroERM'' project

    International Nuclear Information System (INIS)

    In the European radiological early warning system about 5500 stationary sensors are actually implemented that measure continuously the local dose rate. Alongside several hundred air dust collecting systems attribute to the measurement of airborne radioactivity. The local dose rates are transmitted hourly to a central data base that is operated on behalf of the EU commission. In significantly larger time intervals the measured data of the airborne radioactivity are transmitted. In case of a cross-border radiological accident these data are the basis for recommendations given by the EU commission to the member states for national counter measures. The focus of the project ''Metrology for radiological early warning networks in Europe'' is an improvement of the metrological quality and harmonization these data and the development of improved measuring systems and evaluation methods.

  6. Fuzzy logic inference-based Pavement Friction Management and real-time slippery warning systems: A proof of concept study.

    Science.gov (United States)

    Najafi, Shahriar; Flintsch, Gerardo W; Khaleghian, Seyedmeysam

    2016-05-01

    Minimizing roadway crashes and fatalities is one of the primary objectives of highway engineers, and can be achieved in part through appropriate maintenance practices. Maintaining an appropriate level of friction is a crucial maintenance practice, due to the effect it has on roadway safety. This paper presents a fuzzy logic inference system that predicts the rate of vehicle crashes based on traffic level, speed limit, and surface friction. Mamdani and Sugeno fuzzy controllers were used to develop the model. The application of the proposed fuzzy control system in a real-time slippery road warning system is demonstrated as a proof of concept. The results of this study provide a decision support model for highway agencies to monitor their network's friction and make appropriate judgments to correct deficiencies based on crash risk. Furthermore, this model can be implemented in the connected vehicle environment to warn drivers of potentially slippery locations. Published by Elsevier Ltd.

  7. Patients’ attention to and understanding of adverse drug reaction warnings

    Directory of Open Access Journals (Sweden)

    Tresa Muir McNeal

    2010-12-01

    Full Text Available Tresa Muir McNeal1, Colleen Y Colbert1, Christian Cable1, Curtis R Mirkes1, June G Lubowinski2, John D Myers11Department of Medicine, Texas A&M University System HSC College of Medicine, Scott & White Healthcare, Temple, TX, USA; 2RD Haynes Medical Library, Scott & White Healthcare, Temple, TX, USAIntroduction: Medications are critical to the management of patient conditions, and they can have significant effects on the success or failure of medical interventions. Patient perceptions of drug warnings play an important role in medication compliance and ultimately disease management. Several factors may affect patients’ understanding of drug warnings and drug labeling, including health literacy and interactions with physicians and pharmacists.Purpose: The purpose of this article is to provide a review of the literature related to patient perceptions of drug warnings and drug labeling. Descriptive articles and studies regarding patient perceptions and knowledge of adverse drug reaction warnings were reviewed.Methods: The following databases were utilized to search the literature related to patient perceptions of drug warnings: PubMed, Academic Search Premiere, CINAHL, Medline, Psych Info, Business Source Complete, Alternative Healthwatch, Health Source (both Nursing/Academic and Consumer additions, JSTOR, and Master File Premiere. For the purpose of this review, any peer-reviewed article was eligible. Exclusionary criteria included: articles published in languages other than English, articles/studies on patient perceptions of vaccines and chemotherapy, and articles related to perceptions of medications administered in the inpatient setting. Forty-six articles were included in the review.Results: Health literacy has been shown to have a major impact on patients’ ability to understand potential adverse reactions and instructions on correct dosing of medications. Direct communication with physicians and pharmacists is one of the most important and

  8. 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.

  9. Warnings on alcohol containers and advertisements: international experience and evidence on effects.

    Science.gov (United States)

    Wilkinson, Claire; Room, Robin

    2009-07-01

    In light of possible introduction of alcohol warning labels in Australia and New Zealand, this paper discusses the international experience with and evidence of effects of alcohol warning labels. The report describes international experience with providing information and warnings concerning the promotion or sale of alcoholic beverages, and considers the evidence on the effects of such information and warnings. The experience with and evaluations of the effects of tobacco warning labels are also considered. The most methodologically sound evaluations of alcohol warning labels are based on the US experience. Although these evaluations find little evidence that the introduction of the warning label in the USA had an impact on drinking behaviour, there is evidence that they led to an increase in awareness of the message they contained. In contrast, evaluations of tobacco warning labels find clear evidence of effects on behaviour. There is a need and opportunity for a rigorous evaluation of the impacts of introducing alcohol warning labels to add to the published work on their effectiveness. The experience with tobacco labels might guide the way for more effective alcohol warning labels. Alcohol warning labels are an increasingly popular alcohol policy initiative. It is clear that warning labels can be ineffective, but the tobacco experience suggests that effective warning labels are possible. Any introduction of alcohol warning labels should be evaluated in terms of effects on attitudes and behaviour.

  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. 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.

  12. A brief measure of reactance to health warnings.

    Science.gov (United States)

    Hall, Marissa G; Sheeran, Paschal; Noar, Seth M; Ribisl, Kurt M; Boynton, Marcella H; Brewer, Noel T

    2017-06-01

    Reactance to persuasive messages involves perceived threat to freedom, anger, and counterarguing that may undermine the impact of health warnings. To understand reactance's effects, reliable and valid assessment is critical. We sought to develop and validate a brief Reactance to Health Warnings Scale (RHWS). Two independent samples of US adults completed the brief RHWS in studies that presented warnings on cigarette packs that smokers carried with them for 4 weeks (Study 1; n = 2149) or as digital images of cigarette packs that participants viewed briefly (Study 2; n = 1413). The three-item Brief RHWS had good internal consistency and test-retest reliability. The scale correlated with higher trait reactance and exposure to pictorial warnings, supporting its convergent validity. With respect to predictive validity, the Brief RHWS predicted perceived message effectiveness, quit intentions, avoidance of the warnings, and number of cigarettes smoked per day. The Brief RHWS can serve as an efficient adjunct to the development of persuasive messages.

  13. Collision risk analysis based train collision early warning strategy.

    Science.gov (United States)

    Li, Si-Hui; Cai, Bai-Gen; Liu, Jiang; Wang, Jian

    2018-03-01

    A Train Collision Early Warning System (TCEWS) has been developed for collision avoidance. However, there are few studies regarding how to evaluate the collision risk and provide an early warning concerning a preceding train on the railway. In this paper, we have found that the time for collision avoidance is constrained by the timing of events, such as wireless communication latency, driver reaction, safety protection distance and deceleration rate. Considering these timing components, the time to avoid a collision is calculated accurately. To evaluate the potential collision severity when the following train approaches, the collision risk is defined based on the time to avoid a collision. The train collision early warning signal is divided into a four-tier color-coded system based on the collision risk, with red representing the most severe collision risk, followed by orange, yellow and blue. A field test of the train collision early warning strategy on the Hankou-Yichang Railway is analysed. It is demonstrated that the strategy has sufficient capability to indicate a potential collision and warn the following train. Copyright © 2017. Published by Elsevier Ltd.

  14. Performance of Earthquake Early Warning Systems during the Major Events of the 2016-2017 Central Italy Seismic Sequence.

    Science.gov (United States)

    Festa, G.; Picozzi, M.; Alessandro, C.; Colombelli, S.; Cattaneo, M.; Chiaraluce, L.; Elia, L.; Martino, C.; Marzorati, S.; Supino, M.; Zollo, A.

    2017-12-01

    Earthquake early warning systems (EEWS) are systems nowadays contributing to the seismic risk mitigation actions, both in terms of losses and societal resilience, by issuing an alert promptly after the earthquake origin and before the ground shaking impacts the targets to be protected. EEWS systems can be grouped in two main classes: network based and stand-alone systems. Network based EEWS make use of dense seismic networks surrounding the fault (e.g. Near Fault Observatory; NFO) generating the event. The rapid processing of the P-wave early portion allows for the location and magnitude estimation of the event then used to predict the shaking through ground motion prediction equations. Stand-alone systems instead analyze the early P-wave signal to predict the ground shaking carried by the late S or surface waves, through empirically calibrated scaling relationships, at the recording site itself. We compared the network-based (PRESTo, PRobabilistic and Evolutionary early warning SysTem, www.prestoews.org, Satriano et al., 2011) and the stand-alone (SAVE, on-Site-Alert-leVEl, Caruso et al., 2017) systems, by analyzing their performance during the 2016-2017 Central Italy sequence. We analyzed 9 earthquakes having magnitude 5.0 data telemetry.

  15. On-site early-warning system for Bishkek (Kyrgyzstan

    Directory of Open Access Journals (Sweden)

    Dino Bindi

    2015-04-01

    Full Text Available In this work, the development of an on-site early warning system for Bishkek (Kyrgyzstan is outlined. Several low cost sensors equipped with MEMS accelerometers are installed in eight buildings distributed within the urban area. The different sensing units communicate each other via wireless links and the seismic data are streamed in real-time to the data center using internet. Since each single sensing unit has computing capabilities, software for data processing can be installed to perform decentralized actions. In particular, each sensing unit can perform event detection task and run software for on-site early warning. If a description for the vulnerability of the building is uploaded in the sensing unit, this piece of information can be exploited to introduce the expected probability of damage in the early-warning protocol customized for a specific structure.

  16. 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.

  17. Drug safety and the impact of drug warnings

    DEFF Research Database (Denmark)

    Hostenkamp, G.; Fischer, K. E.; Borch-Johnsen, K.

    2016-01-01

    Objective To analyse the impact of drug safety warnings from the European Medicines Agency (EMA) on drug utilisation and their interaction with information released through national reimbursement bodies. Methods Insurance claims data on anti-diabetic drug prescriptions in primary care in Germany...... and Denmark were analysed using interrupted time series analysis, with EMA drug warnings for thiazolidinediones (TZDs) in 2007 and 2011 as the intervention. Monthly drug utilisation data per substance in defined daily dosages (DDD) consumed per 1000 insurees were retrieved from the Danish national drug...... prescriptions register and one large statutory sickness fund in Germany. Results TZDs were generally reimbursed in Germany but restricted to individual reimbursement in Denmark. Consequently, utilisation of TZDs was much higher in Germany in 2007 compared with Denmark. For rosiglitazone, the drug warning had...

  18. Tobacco branding, plain packaging, pictorial warnings, and symbolic consumption.

    Science.gov (United States)

    Hoek, Janet; Gendall, Philip; Gifford, Heather; Pirikahu, Gill; McCool, Judith; Pene, Gina; Edwards, Richard; Thomson, George

    2012-05-01

    We use brand association and symbolic consumption theory to explore how plain cigarette packaging would influence the identities young adults cocreate with tobacco products. Group discussions and in-depth interviews with 86 young adult smokers and nonsmokers investigated how participants perceive tobacco branding and plain cigarette packaging with larger health warnings. We examined the transcript data using thematic analysis and explored how removing tobacco branding and replacing this with larger warnings would affect the symbolic status of tobacco brands and their social connotations. Smokers used tobacco brand imagery to define their social attributes and standing, and their connection with specific groups. Plain cigarette packaging usurped this process by undermining aspirational connotations and exposing tobacco products as toxic. Replacing tobacco branding with larger health warnings diminishes the cachet brand insignia creates, weakens the social benefits brands confer on users, and represents a potentially powerful policy measure.

  19. Wavelet analysis of the seismograms for tsunami warning

    Directory of Open Access Journals (Sweden)

    A. Chamoli

    2010-10-01

    Full Text Available The complexity in the tsunami phenomenon makes the available warning systems not much effective in the practical situations. The problem arises due to the time lapsed in the data transfer, processing and modeling. The modeling and simulation needs the input fault geometry and mechanism of the earthquake. The estimation of these parameters and other aprior information increases the utilized time for making any warning. Here, the wavelet analysis is used to identify the tsunamigenesis of an earthquake. The frequency content of the seismogram in time scale domain is examined using wavelet transform. The energy content in high frequencies is calculated and gives a threshold for tsunami warnings. Only first few minutes of the seismograms of the earthquake events are used for quick estimation. The results for the earthquake events of Andaman Sumatra region and other historic events are promising.

  20. Graphic warnings and text warning labels on cigarette packages in Riyadh Kingdom of Saudi Arabia: Awareness and perceptions.

    Science.gov (United States)

    Jradi, Hoda; Saddik, Basema

    2018-01-01

    Graphic warning labels have been shown to be effective in smoking initiation and cessation and were implemented in Saudi Arabia in 2012. To date, no study has assessed the effectiveness of these labels and the Saudi population's perceptions on the effectiveness of cigarette health warning labels. We used a cross-sectional qualitative study comprising of nine focus groups among 3 different community group members including health-care workers, adult women and adult men. We conducted in-depth interviews among community leaders. Both focus groups and interviews assessed awareness levels and elicited perceptions about health warning labels on cigarette boxes currently used in the Kingdom of Saudi Arabia. While most participants in the study were aware and supported the use of graphic warning labels on cigarette packages, the awareness of the specific details on the labels was low. Participants perceived the effectiveness of current labels somewhat vague in smoking cessation and advocated for stronger and more aggressive graphics. Community leaders, however, preferred text-only labels and did not support aggressive labels which were deemed culturally and religiously inappropriate. The study suggests that while graphic warning labels are perceived as necessary on cigarette packages the currently used messages are not clear and therefore do not serve their intended purposes. Measures should be undertaken to ensure that pictorial cigarette labels used in Saudi Arabia are culturally and ethnically appropriate and are rotated on a regular basis to ensure salience among smokers and nonsmokers alike.

  1. Weather warnings predict fall-related injuries among older adults.

    Science.gov (United States)

    Mondor, Luke; Charland, Katia; Verma, Aman; Buckeridge, David L

    2015-05-01

    weather predictions are a useful tool for informing public health planning and prevention strategies for non-injury health outcomes, but the association between winter weather warnings and fall-related injuries has not been assessed previously. to examine the association between fall-related injuries among older adults and government-issued winter weather warnings. using a dynamic cohort of individuals ≥65 years of age who lived in Montreal between 1998 and 2006, we identified all fall-related injuries from administrative data using a validated set of diagnostic and procedure codes. We compared rates of injuries on days with freezing rain or snowstorm warnings to rates observed on days without warnings. We also compared the incidence of injuries on winter days to non-winter days. All analyses were performed overall and stratified by age and sex. freezing rain alerts were associated with an increase in fall-related injuries (incidence rate ratio [IRR] = 1.20, 95% confidence interval [CI]: 1.08-1.32), particularly among males (IRR = 1.31, 95% CI: 1.10-1.56), and lower rates of injuries were associated with snowstorm alerts (IRR = 0.89, 95% CI: 0.80-0.99). The rate of fall-related injuries did not differ seasonally (IRR = 1.00, 95% CI: 0.97-1.03). official weather warnings are predictive of increases in fall-related injuries among older adults. Public health agencies should consider using these warnings to trigger initiation of injury prevention strategies in advance of inclement weather. © The Author 2014. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  2. Landslides affecting critical infrastructures: the use of a GB-InSAR based warning system in Calatabiano (Southern Italy).

    Science.gov (United States)

    Nolesini, Teresa; Frodella, William; Bardi, Federica; Intrieri, Emanuele; Carlà, Tommaso; Solari, Lorenzo; Dotta, Giulia; Ferrigno, Federica; Casagli, Nicola

    2017-04-01

    the landslide geomorphological and kinematic features, and to support the early warning procedures needed to ensure the safety of the personnel involved in the by-pass realization and the long term landslide stabilization works. The intrinsic characteristics of the abovementioned techniques, such as the capability of: i) producing near-real time displacement maps without physical access to the analysed area; ii) observing the investigated scenario 24 hours per day and in all-weather conditions; iii) generating high-resolution images, especially for local scale phenomena analysis; iv) providing high versatility and transportability; represent consistent advantages with respect to the traditional methods. The preliminary monitoring results and a 3D landslide mapping have shown its effectiveness during the emergency and the post emergency management phase.

  3. 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.

  4. Prototype early warning systems for vector-borne diseases in Europe.

    Science.gov (United States)

    Semenza, Jan C

    2015-06-02

    Globalization and environmental change, social and demographic determinants and health system capacity are significant drivers of infectious diseases which can also act as epidemic precursors. Thus, monitoring changes in these drivers can help anticipate, or even forecast, an upsurge of infectious diseases. The European Environment and Epidemiology (E3) Network has been built for this purpose and applied to three early warning case studies: (1) The environmental suitability of malaria transmission in Greece was mapped in order to target epidemiological and entomological surveillance and vector control activities. Malaria transmission in these areas was interrupted in 2013 through such integrated preparedness and response activities. (2) Since 2010, recurrent West Nile fever outbreaks have ensued in South/eastern Europe. Temperature deviations from a thirty year average proved to be associated with the 2010 outbreak. Drivers of subsequent outbreaks were computed through multivariate logistic regression models and included monthly temperature anomalies for July and a normalized water index. (3) Dengue is a tropical disease but sustained transmission has recently emerged in Madeira. Autochthonous transmission has also occurred repeatedly in France and in Croatia mainly due to travel importation. The risk of dengue importation into Europe in 2010 was computed with the volume of international travelers from dengue affected areas worldwide.These prototype early warning systems indicate that monitoring drivers of infectious diseases can help predict vector-borne disease threats.

  5. A web based on-line radiation early warning system for emergency preparedness and response centre

    International Nuclear Information System (INIS)

    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

  6. The value of real-time GNSS to earthquake early warning

    Science.gov (United States)

    Ruhl, C. J.; Melgar, D.; Grapenthin, R.; Allen, R. M.

    2017-08-01

    Global Navigation Satellite Systems (GNSS)-based earthquake early warning (EEW) algorithms estimate fault finiteness and unsaturated moment magnitude for the largest, most damaging earthquakes. Because large events are infrequent, algorithms are not regularly exercised and insufficiently tested on few available data sets. We use 1300 realistic, time-dependent, synthetic earthquakes on the Cascadia megathrust to rigorously test the Geodetic Alarm System. Solutions are reliable once six GNSS stations report static offsets, which we require for a "first alert." Median magnitude and length errors are -0.15 ± 0.24 units and -31 ± 40% for the first alert, and -0.04 ± 0.11 units and +7 ± 31% for the final solution. We perform a coupled test of a seismic-geodetic EEW system using synthetic waveforms for a Mw8.7 scenario. Seismic point-source solutions result in severely underestimated peak ground acceleration. Geodetic finite-fault solutions provide more accurate predictions at larger distances, thus increasing warning times. Hence, GNSS observations are essential in EEW to accurately characterize large (out-of-network) events and correctly predict ground motion.

  7. A Survey and Comparative Study of Broadcast Warning Message Dissemination Schemes for VANETs

    Directory of Open Access Journals (Sweden)

    Julio A. Sanguesa

    2016-01-01

    Full Text Available Vehicle-to-vehicle (V2V communications also known as vehicular ad hoc networks (VANETs allow vehicles to cooperate to increase driving efficiency and safety on the roads. In particular, they are forecasted as one of the key technologies to increase traffic safety by providing useful traffic services. In this scope, vehicle-to-vehicle dissemination of warning messages to alert nearby vehicles is one of the most significant and representative solutions. The main goal of the different dissemination strategies available is to reduce the message delivery latency of such information while ensuring the correct reception of warning messages in the vehicle’s neighborhood as soon as a dangerous situation occurs. Despite the fact that several dissemination schemes have been proposed so far, their evaluation has been done under different conditions, using different simulators, making it difficult to determine the optimal dissemination scheme for each particular scenario. In this paper, besides reviewing the most relevant broadcast dissemination schemes available in the recent literature, we also provide a fair comparative analysis by evaluating them under the same environmental conditions, focusing on the same metrics, and using the same simulation platform. Overall, we provide researchers with a clear guideline of the benefits and drawbacks associated with each scheme.

  8. 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.

  9. A Feasibility Study for Earthquake Early Warning in a School in Southern Italy

    Science.gov (United States)

    Emolo, A.; Martino, C.; Picozzi, M.; Zollo, A.; Elia, L.; Festa, G.; Colombelli, S.; Caruso, A.; Brondi, P.; Miranda, N.

    2015-12-01

    We present the results of a feasibility study on the application of earthquake early-warning procedures in the high school ITIS E. Majorana, Somma Vesuviana, Naples, located about 80 km far from the seismogenic Irpinia region. The study was performed in the framework of the European REAKT project. The school was equipped with an EEWS composed of: a small seismic network of accelerometers, the PRESToPlus software platform, and an actuator, named Sentinel. The Sentinel is made up of low-cost hardware (i.e., Arduino®) programmed to accomplish three main tasks: 1) listen and interpret messages delivered by the EEW system PRESToPlus on the ground motion severity expected at the target site; 2) provides different warnings as alert levels by the control of different hardware (i.e., alarm bells, emergency lights, and so on); 3) declare the end of the most threatening condition, which will assist the emergency coordinator starting the evacuation plan defined by the current legislation. The Sentinel was developed within REAKT in close collaboration with the students and the teachers of the school. The EEW system and the Sentinel were successfully tested during some blind drills performed during normal school activities.

  10. Measurement and interpolation uncertainties in rainfall maps from cellular communication networks

    NARCIS (Netherlands)

    Rios Gaona, M.F.; Overeem, A.; Leijnse, H.; Uijlenhoet, R.

    2015-01-01

    Accurate measurements of rainfall are important in many hydrological and meteorological applications, for instance, flash-flood early-warning systems, hydraulic structures design, irrigation, weather forecasting, and climate modelling. Whenever possible, link networks measure and store the received

  11. Comparison of Different Techniques for Processing GNSS Data in Real Time for Tsunami Warning

    Science.gov (United States)

    Schmidt, M.; Dragert, H.; Lu, Y.; Henton, J.; MacLeod, K.

    2012-12-01

    Real-time processing and dissemination of GNSS derived co-seismic position offsets for tsunami early warning has been under development at the Geological Survey of Canada (NRCan) for the past six years. Using streamed data from the Western Canada Deformation Array (WCDA), results from two variations of Precise Point Positioning (PPP) and two variations of network-based solutions are evaluated: NRCan's real-time PPP software, and two commercial software packages RTD and RTNET, licensed from Geodetics Inc. and GPS Solutions Inc. respectively. Of the two commercial packages, the former provides independent, epoch-by-epoch network solutions, while the latter has the capability to process data using both PPP and Network approaches. There are clear advantages and disadvantages to the independent PPP solutions vs. the network based solutions. PPP solutions (smoothed and un-smoothed) provide position estimates for single stations in a global framework. They are not reliant on 'fixed' reference stations that, if located within the seismogenic zone, will clearly experience co-seismic displacements. Under best-case scenarios, error levels of 1-2 cm horizontal and 3-6cm vertical are achievable for network based solutions whereas PPP solutions with ambiguity resolution are currently somewhat noisier. Both analysis methodologies are critically dependent on data continuity and robust tracking of all available satellites at each site. A clear case is made for the requirement for network based processing capacity for baselines of greater than 150km in order to ensure robust co-seismic displacement estimates during large earthquakes. Results from tests within the WCDA network using the different techniques are presented as well as recommendations for computational and operational improvements. NRCan's real-time web based interface offers the user community with a real-time display of position offset estimates for sites in southwestern coastal British Columbia.

  12. Enhanced Multi-Objective Optimization of Groundwater Monitoring Networks

    DEFF Research Database (Denmark)

    Bode, Felix; Binning, Philip John; Nowak, Wolfgang

    and optimality of any suggested monitoring location or monitoring network. The goal of this project is to develop and establish a concept to assess, design, and optimize early-warning systems within well catchments. Such optimal monitoring networks need to optimize three competing objectives: (1) a high...... detection probability, which can be reached by maximizing the “field of vision” of the monitoring network; (2) a long early-warning time such that there is enough time left to install countermeasures after first detection; and (3) the overall operating costs of the monitoring network, which should ideally...... uncertainty. From this, we can obtain maps of contaminant detection probability for all possible placements of one individual monitoring well. Its optimal position is defined by the highest detection probability and describes a limit for meaningful solutions considering additionally early-warning time. Thus...

  13. Forecasting and Warning of Tropical Cyclones in China

    Directory of Open Access Journals (Sweden)

    Bangzhong Wang

    2007-10-01

    Full Text Available With the development of the global economy, the impact of tropical cyclones has become far-reaching. Thus they are a fundamental issue to be addressed both nationally and globally. The socio-economic impact is particularly noticeable in developing countries, especially China. This paper begins with the effects of cyclones on regional and global economies. Then a brief introduction to the past and current situations and progress in cyclones forecasting and warning in China are presented. Finally the paper gives recommendations about improving and perfecting the tropical cyclone forecasting and warning systems.

  14. EARLY WARNING SYSTEMS FOR FINANCIAL CRISES -A CRITICAL APPROACH

    Directory of Open Access Journals (Sweden)

    Constantin-Marius Apostoaie

    2013-03-01

    Full Text Available This research paper aims to analyse some Early Warning Systems (EWS for predicting financial crises. The importance of such a study is undeniable in the context of the current and future mix of policies applied by the monetary authority, in which financial stability and price stability play an important role. The EWS for crises enable the prediction of the occurrence of a crisis within a specified time period. Hence, the theoretical approach of the main early warning systems for crises, the models based on signal extraction and the logit/probit models represent an important stage in preventing and fighting financial crises.

  15. A case study on the early warning of agricultural drought

    Science.gov (United States)

    Zhang, Xiaoyu; Fan, Jinlong; Yang, Xiaoguang; Han, Yinjuan; Wei, Jianguo

    2010-10-01

    In general, agricultural drought always occurs under the circumstance of the comprehensive interactions among the factors of nature, economy and society. The loss due to agricultural drought in China is huge every year. Therefore the timely monitoring of agricultural drought is critical to help reduce the loss. The information of agricultural drought early warning is helpful for local governmental officials and farmers in preparation for coping with the likely happening drought. The paper presents an approach and findings of an early warning of agricultural drought which has been successfully conducted in the semiarid and rainfed farming area in Ningxia autonomous region in the northwest of China.

  16. PICTORICAL WARNING PADA KEMASAN ROKOK: KOMUNIKASI PERSUASIF DALAM KAMPANYE KESEHATAN

    Directory of Open Access Journals (Sweden)

    Sherly Hindra Negoro

    2016-12-01

    Full Text Available Smoking has became the serious problem which always to be the classical dynamic of health communication’s field. Through health campaign by using pictorical warning in cigarette packs, Indonesian Government has priority to reduce the number of smokers in Indonesia. Pictorical warning in cigarette packs was regard as one of communication strategic for implementing. Health campaign has outcome that could change the health behavior for the persuadee. Visualization by using image becomes persuasive communication tools cigarette packs as the communication media. EPPM model was used to analysis this case. This paper was using literature study to understand this problem.

  17. Lightning risk warnings based on atmospheric electric field measurements in Brazil

    Directory of Open Access Journals (Sweden)

    Marco Antonio da Silva Ferro*

    2011-09-01

    Full Text Available This paper presents a methodology that employs the electrostatic field variations caused by thundercloud formation or displacement to generate lightning warnings over a region of interest in Southeastern Brazil. These warnings can be used to prevent accidents during hazardous operations, such as the manufacturing, loading, and test of motor-rockets. In these cases, certain equipment may be moved into covered facilities and personnel are required to take shelter. It is also possible to avoid the threat of natural and triggered lightning to launches. The atmospheric electric field database, including the summer seasons of 2007/2008 and 2008/2009 (from November to February, and, for the same period and region, the cloud-to-ground lightning data provided by the Brazilian lightning detection network – BrasilDAT – were used in order to perform a comparative analysis between the lightning warnings and the cloud-to- ground lightning strikes that effectively occurred inside the area of concern. The analysis was done for three areas surrounding the sensor installation defined as circles with 5, 10 and 15 km of radius to determine the most effective detection range. For each area it was done using several critical electric field thresholds: +/- 0.5; +/- 0.8; +/- 0.9; +/- 1.0; +/- 1.2; and +/- 1.5 kV/m. As a result of the reduction of atmospheric electric field data provided by the sensor installed in area of concern and lightning provided by BrasilDAT, it was possible, for each of the areas of alert proposals, to obtain the following parameters: the number of effective alarms; the number of false alarms; and the number of failure to warning. From the analysis of these parameters, it was possible to conclude that, apparently, the most interesting critical electric field threshold to be used is the level of 0.9 kV/m in association with a distance range of 10 km around the point where the sensor is installed.

  18. 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

  19. 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.

  20. 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

  1. 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

  2. NNDSS - Table III. Tuberculosis

    Data.gov (United States)

    U.S. Department of Health & Human Services — NNDSS - Table III. Tuberculosis - 2017.This Table includes total number of cases reported in the United States, by region and by states, in accordance with the...

  3. Workshop 96. Part III

    International Nuclear Information System (INIS)

    1995-12-01

    Part III of the proceedings contain 155 contributions in various fields of science and technology including nuclear engineering, environmental science, and biomedical engineering. Out of these, 10 were selected to be inputted in INIS. (P.A.)

  4. The SINTRAN III NODAL system

    International Nuclear Information System (INIS)

    Skaali, T.B.

    1980-10-01

    NODAL is a high level programming language based on FOCAL and SNOBOL4, with some influence from BASIC. The language was developed to operate on the computer network controlling the SPS accelerator at CERN. NODAL is an interpretive language designed for interactive use. This is the most important aspect of the language, and is reflected in its structure. The interactive facilities make it possible to write, debug and modify programs much faster than with compiler based languages like FORTRAN and ALGOL. Apart from a few minor modifications, the basic part of the Oslo University NODAL system does not differ from the CERN version. However, the Oslo University implementation has been expanded with new functions which enable the user to execute many of the SINTRAN III monitor calls from the NODAL level. In particular the most important RT monitor calls have been implemented in this way, a property which renders possible the use of NODAL as a RT program administrator. (JIW)

  5. 76 FR 70971 - Proposed Information Collection; Comment Request; Societal Response to Tornado Warnings

    Science.gov (United States)

    2011-11-16

    ... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration Proposed Information Collection; Comment Request; Societal Response to Tornado Warnings AGENCY: National Oceanic and Atmospheric... developing social science, wishes to examine the societal impacts of tornado warnings, specifically the...

  6. Using warnings to reduce categorical false memories in younger and older adults.

    Science.gov (United States)

    Carmichael, Anna M; Gutchess, Angela H

    2016-07-01

    Warnings about memory errors can reduce their incidence, although past work has largely focused on associative memory errors. The current study sought to explore whether warnings could be tailored to specifically reduce false recall of categorical information in both younger and older populations. Before encoding word pairs designed to induce categorical false memories, half of the younger and older participants were warned to avoid committing these types of memory errors. Older adults who received a warning committed fewer categorical memory errors, as well as other types of semantic memory errors, than those who did not receive a warning. In contrast, young adults' memory errors did not differ for the warning versus no-warning groups. Our findings provide evidence for the effectiveness of warnings at reducing categorical memory errors in older adults, perhaps by supporting source monitoring, reduction in reliance on gist traces, or through effective metacognitive strategies.

  7. 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. ...

  8. Transformational III-V Electronics

    KAUST Repository

    Nour, Maha A.

    2014-04-01

    Flexible electronics using III-V materials for nano-electronics with high electron mobility and optoelectronics with direct band gap are attractive for many applications. This thesis describes a complementary metal oxide semiconductor (CMOS) compatible process for transforming traditional III-V materials based electronics into flexible one. The thesis reports releasing 200 nm of Gallium Arsenide (GaAs) from 200 nm GaAs / 300 nm Aluminum Arsenide (AlAs) stack on GaAs substrate using diluted hydrofluoric acid (HF). This process enables releasing a single top layer compared to peeling off all layers with small sizes at the same time. This is done utilizing a network of release holes that contributes to the better transparency (45 % at 724 nm wavelengths) observed. Fabrication of metal oxide semiconductor capacitor (MOSCAPs) on GaAs is followed by releasing it to have devices on flexible 200 nm GaAs. Similarly, flexible GaSb and InP fabrication process is also reported to transform traditional electronics into large-area flexible electronics.

  9. 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.

  10. Late lessons from early warnings: science, precaution, innovation

    DEFF Research Database (Denmark)

    Hansen, Steffen Foss

    2013-01-01

    The 2013 Late lessons from early warnings report is the second of its type produced by the European Environment Agency (EEA) in collaboration with a broad range of external authors and peer reviewers. In all 26 case study chapters have been peer reviewed from a broad range of perspectives.PART A:...

  11. Warning signals for poor performance improve human-robot interaction

    NARCIS (Netherlands)

    Brule, R. van den; Bijlstra, G.; Dotsch, R.; Haselager, W.F.G.; Wigboldus, D.H.J.

    2016-01-01

    The present research was aimed at investigating whether human-robot interaction (HRI) can be improved by a robot's nonverbal warning signals. Ideally, when a robot signals that it cannot guarantee good performance, people could take preventive actions to ensure the successful completion of the

  12. An ABC of the Warning Signs of Hereditary Angioedema

    DEFF Research Database (Denmark)

    Grumach, Anete Sevciovic; Ferraroni, Natasha; Olivares, Maria Margarita

    2017-01-01

    are common. HAE attacks may be fatal when upper-airway edema occurs, if proper treatment with a C1 inhibitor concentrate or BK receptor antagonist is not administered or an emergency tracheostomy is not performed. We propose a mnemonic method for the warning signs of HAE for the use as a diagnostic tool, i...

  13. 40 CFR 156.66 - Child hazard warning.

    Science.gov (United States)

    2010-07-01

    ... 40 Protection of Environment 23 2010-07-01 2010-07-01 false Child hazard warning. 156.66 Section 156.66 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) PESTICIDE PROGRAMS..., marketing, storage or use is remote (for example, an industrial use product); or (2) The pesticide is...

  14. Famines in Africa: is early warning early enough?

    Directory of Open Access Journals (Sweden)

    Jeeyon Janet Kim

    2012-06-01

    Full Text Available Following the second Sahelian famine in 1984–1985, major investments were made to establish Early Warning Systems. These systems help to ensure that timely warnings and vulnerability information are available to decision makers to anticipate and avert food crises. In the recent crisis in the Horn of Africa, alarming levels of acute malnutrition were documented from March 2010, and by August 2010, an impending food crisis was forecast. Despite these measures, the situation remained unrecognised, and further deteriorated causing malnutrition levels to grow in severity and scope. By the time the United Nations officially declared famine on 20 July 2011, and the humanitarian community sluggishly went into response mode, levels of malnutrition and mortality exceeded catastrophic levels. At this time, an estimated 11 million people were in desperate and immediate need for food. With warnings of food crises in the Sahel, South Sudan, and forecast of the drought returning to the Horn, there is an immediate need to institutionalize change in the health response during humanitarian emergencies. Early warning systems are only effective if they trigger an early response.

  15. Know the Warning Signs of a Heart Attack

    Science.gov (United States)

    ... No. 22 Know the Warning Signs of a Heart Attack What is a heart attack? Aheart attack happens when the blood vessels that ... hurting your heart muscle. Another name for a heart attack is myocardial infarction, or MI. If you have ...

  16. Warning Signals for Poor Performance Improve Human-Robot Interaction

    NARCIS (Netherlands)

    van den Brule, Rik; Bijlstra, Gijsbert; Dotsch, Ron; Haselager, Pim; Wigboldus, Daniel HJ

    2016-01-01

    The present research was aimed at investigating whether human-robot interaction (HRI) can be improved by a robot’s nonverbal warning signals. Ideally, when a robot signals that it cannot guarantee good performance, people could take preventive actions to ensure the successful completion of the

  17. The Predictive Validity of the Early Warning System Tool

    Science.gov (United States)

    Johnson, Evelyn; Semmelroth, Carrie

    2010-01-01

    The Early Warning System is a tool developed by the National High School Center to collect data on indicators including attendance, grade point average, course failures, and credits earned. These indicators have been found to be highly predictive of a student's likelihood of dropping out of high school in large, urban areas. The Early Warning…

  18. Early Warning Systems: Re-Engaging Chronic Truants

    Science.gov (United States)

    Chorneau, Tom

    2012-01-01

    School attendance can be an early indicator that something is going wrong with a student. Gathering, analyzing, and acting on attendance information is a first step toward school improvement. Meanwhile, the majority of the states are moving to build and enhance what are called "early warning systems," intended to flag at-risk students during their…

  19. 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…

  20. Coral Reef Early Warning System (CREWS) RPC Experiment

    Science.gov (United States)

    Estep, Leland; Spruce, Joseph P.; Hall, Callie

    2007-01-01

    This viewgraph document reviews the background, objectives, methodology, validation, and present status of the Coral Reef Early Warning System (CREWS) Rapid Prototyping Capability (RPC) experiment. The potential NASA contribution to CREWS Decision Support Tool (DST) centers on remotely sensed imagery products.

  1. Development and Use of Early Warning Systems. SLDS Spotlight

    Science.gov (United States)

    Curtin, Jenny; Hurwitch, Bill; Olson, Tom

    2012-01-01

    An early warning system is a data-based tool that helps predict which students are on the right path towards eventual graduation or other grade-appropriate goals. Through such systems, stakeholders at the school and district levels can view data from a wide range of perspectives and gain a deeper understanding of student data. This "Statewide…

  2. ON-LINE TOXICITY MONITORS AND WATERSHED EARLY WARNING SYSTEMS

    Science.gov (United States)

    A Water Quality Early Warning System using On-line Toxicity Monitors (OTMs) has been deployed in the East Fork of the Little Miami River, Clermont County, OH. Living organisms have long been used to determine the toxicity of environmental samples. With advancements in electronic ...

  3. Improving Early Warning Systems with Categorized Course Resource Usage

    Science.gov (United States)

    Waddington, R. Joseph; Nam, SungJin; Lonn, Steven; Teasley, Stephanie D.

    2016-01-01

    Early Warning Systems (EWSs) aggregate multiple sources of data to provide timely information to stakeholders about students in need of academic support. There is an increasing need to incorporate relevant data about student behaviors into the algorithms underlying EWSs to improve predictors of students' success or failure. Many EWSs currently…

  4. 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

  5. Ecosystems for Early Warning: Potential Use of Bioindicators

    Science.gov (United States)

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

    2014-12-01

    Bioindicators are biological processes, species or communities, which are used to assess changes in the environment or environmental quality. Theoretically, they could also be used to provide advanced warning of hazards. They are inexpensive, locally relevant, and can encourage stakeholder participation in early warning system development and maintenance. While bioindicators have been identified for environmental problems such as air pollution and water pollution, and have been used to assess health of ecosystems, little information is available on bioindicators for climate related hazards. This presentation reviews possible biodindicators for droughts, wildfires and tropical cyclones, based on the results of a literature review. It will also present results from a household survey of 36 communities in Kenya, Ghana and Burkina Faso. Indigenous knowledge offers a wealth of potential bioindicators; including animal and insect behavior, and plant phenology. Yet significant study is needed to verify these indicators and evaluate them against criteria such as specificity, variability, monotonicity, practicality and relevance. Bioindicators may not be specific to individual hazards and may provide limited advanced warning, as response often occurs after the actual onset of the hazard. Furthermore, indicators may become increasingly unreliable due to climate change itself. There is a need for a large-scale assessment of hazard bioindicators, which should also include forecasts of bioindicator change under global warming, and a cost-benefit analysis of the value of integrating bioindicators into early warning systems. Lessons can be drawn from ethnopharmacology. Coordinated research on this topic could contribute to the resilience of both ecosystems and human livelihoods.

  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. Public Health Measures: Alerts and Early Warning Systems

    NARCIS (Netherlands)

    Marvin, H.J.P.; Kleter, G.A.

    2014-01-01

    This article reviews various reactive and proactive alert and early warning systems that can be used for the identification of emerging risks to food safety, both within the European Union and at the global level. Recent developments include the establishment of a unit dedicated to emerging risks at

  9. Personal warning system for vessels under bad weather conditions

    NARCIS (Netherlands)

    Scholte, K.; Rothkrantz, L.J.M.

    2014-01-01

    Many services provide weather forecasts, including severe weather alerts for the marine. It proves that many ships neglect the warnings because they expect to be able to handle the bad weather conditions. In order to identify possible unsafe situations the Coast Guard needs to observe marine vessel

  10. Perception and meaning of warning signals in urban context

    DEFF Research Database (Denmark)

    Vogel, Corsin; Polack, Jean-Dominique; Castellengo, Michèle

    1999-01-01

    Perception of warning signals in urban context points out the question of their efficiency, that is, whether they are identified or not. Results show that contextual constraints influence the perceptual threshold and the identification. The classes of signals obtained can be used to determine new...

  11. Sensitivity to selected contaminants in a biological early warning ...

    African Journals Online (AJOL)

    Several early warning systems for the monitoring of water quality are based on the assessment of valve opening/closing in bivalves. Tests were conducted to assess the sensitivity of the mussel Anodonta woodiana, installed on the Mosselmonitor, to seven contaminants and evaluate the usefulness of these sensors for ...

  12. Agro-meteorological early warning to reduce agricultural ...

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

    2016-04-22

    Agro-meteorological early warning to reduce agricultural vulnerability to climate change: The experiences of PARBCC in Benin. April 22, 2016. Image. In Benin, extreme climate variability has threatened the food security of rural populations, with agricultural yields declining and crop losses increasing due to extreme ...

  13. Duty-to-Warn Guidelines for Mental Health Counselors.

    Science.gov (United States)

    Costa, Luann; Altekruse, Michael

    1994-01-01

    Summarizes legal cases in which duty-to-warn was an issue. Suggests that guidelines for counselors are few and lack definition. Offers a model to guide counselors in making clinical judgments in cases and case examples to exemplify possible ethical dilemmas in the practice of counseling. Includes 36 citations. (Author/CRR)

  14. Current Status on Flood Forecasting and Early Warning in Africa

    NARCIS (Netherlands)

    Thiemig, V.; Roo, A.P.J. de

    2011-01-01

    An overview of the current state of flood forecasting and early warning in Africa is provided in order to identify future user needs and research. Information was collected by reviewing previously published research in the scientific literature and from institutional websites. This information was

  15. 21 CFR 201.63 - Pregnancy/breast-feeding warning.

    Science.gov (United States)

    2010-04-01

    ...) DRUGS: GENERAL LABELING Labeling Requirements for Over-the-Counter Drugs § 201.63 Pregnancy/breast-feeding warning. (a) The labeling for all over-the-counter (OTC) drug products that are intended for... in a permanent file for public review by the Division of Dockets Management (HFA-305), Food and Drug...

  16. Electronic gaming machine warning messages: information versus self-evaluation.

    Science.gov (United States)

    Monaghan, Sally; Blaszczynski, Alex

    2010-01-01

    Regulators have extensively used warning signs in many health domains to enhance knowledge and shift attitudes and behaviors to reduce associated harm. The effectiveness of these signs is influenced by their physical attributes and content. Gambling warning signs traditionally focus on the following: informing individuals of the potentially risky outcomes of gambling and the odds of winning, encouraging gambling within affordable limits, and advertising counseling services. The limited evidence suggests that warning signs for gambling attract attention and improve knowledge but are generally ineffective in modifying players' thoughts and behaviors. Therefore, the authors aimed to determine the optimal content of messages that would enhance responsible gambling practices. The authors conclude that, in contrast with signs displaying probabilities or informing players of the risks associated with gambling, signs designed to encourage players to reflect on, appraise, evaluate, and self-regulate their actions have greater theoretical and empirical support. The authors comment that warning signs should promote the application of self-appraisal and self-regulation skills rather than the simple provision of information on odds and probabilities to maximize their effectiveness as a public health tool.

  17. 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....

  18. Agro-meteorological early warning to reduce agricultural ...

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

    Agro-meteorological early warning to reduce agricultural vulnerability to climate change: The experiences of PARBCC in Benin. 22 avril 2016. Image. In Benin, extreme climate ... Examen des SIG-P dans la gestion des ressources naturelles en Afrique. Une collection d'articles (ict4d article) rend compte de résultats de ...

  19. Tilting of trucks: a driver education system and warning system

    NARCIS (Netherlands)

    Kleuskens, R.J.A.

    1996-01-01

    To reduce the risk of tilting, TNO has developed a tilt warning system for commercial vehicles. This system is able to monitor vehicle weight, lateral acceleration and velocity during normal operation. The system CPU is constantly comparing the measured lateral acceleration to a calculated limit

  20. 46 CFR 153.955 - Warning signs during cargo transfer.

    Science.gov (United States)

    2010-10-01

    ... to a dock or at anchor in port, the master shall ensure that the tankship displays a warning sign at... Cargo. (3) No Visitors. (4) No Smoking. (5) No Open Lights. (c) Each letter must be block style, black on a white background. (d) Each letter must: (1) Be 7.5 cm (approx. 3 in.) high; (2) Be 5 cm (approx...

  1. Optimization of lightning warning areas at Cape Canaveral/Kennedy Space Center

    OpenAIRE

    Ceschini, Erin M.

    2013-01-01

    Approved for public release; distribution is unlimited Lightning is the primary weather hazard to spaceflight operations. At CCAFS/KSC, there are 13 individual lightning warning circles centered on locations with considerable outdoor operational activity. Reducing the number of individual lightning warning circles by combining existing warning circles or creating new warning areas based on lightning patterns has the potential benefit of reducing the workload of the forecasters on duty. How...

  2. Assessing the performance of regional landslide early warning models: the EDuMaP method

    Science.gov (United States)

    Calvello, M.; Piciullo, L.

    2016-01-01

    A schematic of the components of regional early warning systems for rainfall-induced landslides is herein proposed, based on a clear distinction between warning models and warning systems. According to this framework an early warning system comprises a warning model as well as a monitoring and warning strategy, a communication strategy and an emergency plan. The paper proposes the evaluation of regional landslide warning models by means of an original approach, called the "event, duration matrix, performance" (EDuMaP) method, comprising three successive steps: identification and analysis of the events, i.e., landslide events and warning events derived from available landslides and warnings databases; definition and computation of a duration matrix, whose elements report the time associated with the occurrence of landslide events in relation to the occurrence of warning events, in their respective classes; evaluation of the early warning model performance by means of performance criteria and indicators applied to the duration matrix. During the first step the analyst identifies and classifies the landslide and warning events, according to their spatial and temporal characteristics, by means of a number of model parameters. In the second step, the analyst computes a time-based duration matrix with a number of rows and columns equal to the number of classes defined for the warning and landslide events, respectively. In the third step, the analyst computes a series of model performance indicators derived from a set of performance criteria, which need to be defined by considering, once again, the features of the warning model. The applicability, potentialities and limitations of the EDuMaP method are tested and discussed using real landslides and warning data from the municipal early warning system operating in Rio de Janeiro (Brazil).

  3. Evaluating the pictorial warnings on tobacco products in Arabian Gulf countries against other international pictorial warnings.

    Science.gov (United States)

    BinDhim, Nasser F; McGeechan, Kevin; Alanazi, Anwar K T; Alanazi, Hossam M S; Alanazi, Sasoun A J; Al-Hadlaq, Solaiman M; Aljadhey, Hisham; Alhawassi, Tariq M; Alghamdi, Nadia A; Shaman, Ahmed M; Alquwayzani, Meshari S; Basyouni, Mada H

    2017-05-12

    Few assessments of pictorial warnings (PWs) on cigarette packs implemented in Gulf Cooperation Council (GCC) countries have been done. This article includes two cross-sectional studies. In Study 1, convenience samples of adults from the Kingdom of Saudi Arabia (n=111) and USA (n=115) participated in a consumer survey to rate a total of nine PWs from the GCC, Australia and the UK. Outcome measures were affective responses to PWs and concerns about smoking. In Study 2, tobacco control experts (n=14) from multiple countries rated the same PWs on a potential efficacy scale and completed one open-ended question about each. The PWs were altered to mask their country of origin. Analyses compared ranking on multiple outcomes and examined ratings by country of origin and by smoking status. In the consumer survey, participants from both countries rated the PWs from GCC lower than PWs from other countries on the two measures. The mixed-model analysis showed significant differences between the PWs from Australia and those from the GCC and between the PWs from the UK and those from the GCC (poriginating from the GCC had significantly lower ratings than those implemented in Australia and the UK. The GCC countries may need to re-evaluate the currently implemented PWs and update them periodically. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

  4. Development of a real-time bridge structural monitoring and warning system: a case study in Thailand

    Science.gov (United States)

    Khemapech, I.; Sansrimahachai, W.; Toachoodee, M.

    2017-04-01

    Regarded as one of the physical aspects under societal and civil development and evolution, engineering structure is required to support growth of the nation. It also impacts life quality and safety of the civilian. Despite of its own weight (dead load) and live load, structural members are also significantly affected by disaster and environment. Proper inspection and detection are thus crucial both during regular and unsafe events. An Enhanced Structural Health Monitoring System Using Stream Processing and Artificial Neural Network Techniques (SPANNeT) has been developed and is described in this paper. SPANNeT applies wireless sensor network, real-time data stream processing and artificial neural network based upon the measured bending strains. Major contributions include an effective, accurate and energy-aware data communication and damage detection of the engineering structure. Strain thresholds have been defined according to computer simulation results and the AASHTO (American Association of State Highway and Transportation Officials) LRFD (Load and Resistance Factor Design) Bridge Design specifications for launching several warning levels. SPANNeT has been tested and evaluated by means of computer-based simulation and on-site levels. According to the measurements, the observed maximum values are 25 to 30 microstrains during normal operation. The given protocol provided at least 90% of data communication reliability. SPANNeT is capable of real-time data report, monitoring and warning efficiently conforming to the predefined thresholds which can be adjusted regarding user's requirements and structural engineering characteristics.

  5. Performance of Early Warning Systems on Landslides in Central America

    Science.gov (United States)

    Strauch, W.; Devoli, G.

    2012-04-01

    We performed a reconnaissance about Early Warning Systems (EWS) on Landslides (EWSL) in the countries of Central America. The advance of the EWSL began in the 1990-ies and accelerated dramatically after the regional disaster provoked by Hurricane Mitch in 1998. In the last decade, Early Warning Systems were intensely promoted by national and international development programs aimed on disaster prevention. Early Warning on landslides is more complicated than for other geological phenomena. But, we found information on more than 30 EWSL in the region. In practice, for example in planning, implementation and evaluation of development projects, it is often not clearly defined what exactly is an Early Warning System. Only few of the systems can be classified as true EWSL that means 1) being directly and solely aimed at persons living in the well-defined areas of greatest risk and 2) focusing their work on saving lives before the phenomenon impacts. There is little written information about the work of the EWSL after the initial phase. Even, there are no statistics whether they issued warnings, if the warnings were successful, how many people were evacuated, if there were few false alerts, etc.. Actually, we did not find a single report on a successful landslide warning issued by an EWSL. The lack of information is often due to the fact that communitarian EWSL are considered local structures and do not have a clearly defined position in the governmental hierarchy; there is little oversight and no qualified support and long-term support. The EWSL suffer from severe problems as lack of funding on the long term, low technical level, and insufficient support from central institutions. Often the EWSL are implemented by NGÓs with funding from international agencies, but leave the project alone after the initial phase. In many cases, the hope of the local people to get some protection against the landslide hazard is not really fulfilled. There is one case, where an EWSL with a

  6. 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)

  7. 76 FR 66074 - Small Entity Compliance Guide: Required Warnings for Cigarette Packages and Advertisements...

    Science.gov (United States)

    2011-10-25

    ...] Small Entity Compliance Guide: Required Warnings for Cigarette Packages and Advertisements; Availability...) is announcing the availability of a guidance for industry entitled ``Required Warnings for Cigarette... written requests for single copies of the SECG entitled ``Required Warnings for Cigarette Packages and...

  8. Longer Term Impact of Cigarette Package Warnings in Australia Compared with the United Kingdom and Canada

    Science.gov (United States)

    Li, Lin; Borland, Ron; Yong, Hua; Cummings, Kenneth M.; Thrasher, James F.; Hitchman, Sara C.; Fong, Geoffrey T.; Hammond, David; Bansal-Travers, Maansi

    2015-01-01

    This study examines the effects of different cigarette package warnings in Australia, Canada and the United Kingdom up to 5 years post-implementation. The data came from the International Tobacco Control Surveys. Measures included salience of warnings, cognitive responses, forgoing cigarettes and avoiding warnings. Although salience of the UK…

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

    Science.gov (United States)

    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”, 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. PMID:28075420

  10. 14 CFR 121.360 - Ground proximity warning-glide slope deviation alerting system.

    Science.gov (United States)

    2010-01-01

    ... 14 Aeronautics and Space 3 2010-01-01 2010-01-01 false Ground proximity warning-glide slope... Equipment Requirements § 121.360 Ground proximity warning-glide slope deviation alerting system. (a) No person may operate a turbine-powered airplane unless it is equipped with a ground proximity warning...

  11. 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.

  12. Seismogeodetic monitoring techniques for tsunami and earthquake early warning and rapid assessment of structural damage

    Science.gov (United States)

    Haase, J. S.; Bock, Y.; Saunders, J. K.; Goldberg, D.; Restrepo, J. I.

    2016-12-01

    As part of an effort to promote the use of NASA-sponsored Earth science information for disaster risk reduction, real-time high-rate seismogeodetic data are being incorporated into early warning and structural monitoring systems. Seismogeodesy combines seismic acceleration and GPS displacement measurements using a tightly-coupled Kalman filter to provide absolute estimates of seismic acceleration, velocity and displacement. Traditionally, the monitoring of earthquakes and tsunamis has been based on seismic networks for estimating earthquake magnitude and slip, and tide gauges and deep-ocean buoys for direct measurement of tsunami waves. Real-time seismogeodetic observations at subduction zones allow for more robust and rapid magnitude and slip estimation that increase warning time in the near-source region. A NASA-funded effort to utilize GPS and seismogeodesy in NOAA's Tsunami Warning Centers in Alaska and Hawaii integrates new modules for picking, locating, and estimating magnitudes and moment tensors for earthquakes into the USGS earthworm environment at the TWCs. In a related project, NASA supports the transition of this research to seismogeodetic tools for disaster preparedness, specifically by implementing GPS and low-cost MEMS accelerometers for structural monitoring in partnership with earthquake engineers. Real-time high-rate seismogeodetic structural monitoring has been implemented on two structures. The first is a parking garage at the Autonomous University of Baja California Faculty of Medicine in Mexicali, not far from the rupture of the 2011 Mw 7.2 El Mayor Cucapah earthquake enabled through a UCMexus collaboration. The second is the 8-story Geisel Library at University of California, San Diego (UCSD). The system has also been installed for several proof-of-concept experiments at the UCSD Network for Earthquake Engineering Simulation (NEES) Large High Performance Outdoor Shake Table. We present MEMS-based seismogeodetic observations from the 10 June

  13. Developments in real-time monitoring for geologic hazard warnings (Invited)

    Science.gov (United States)

    Leith, W. S.; Mandeville, C. W.; Earle, P. S.

    2013-12-01

    Real-time data from global, national and local sensor networks enable prompt alerts and warnings of earthquakes, tsunami, volcanic eruptions, geomagnetic storms , broad-scale crustal deformation and landslides. State-of-the-art seismic systems can locate and evaluate earthquake sources in seconds, enabling 'earthquake early warnings' to be broadcast ahead of the damaging surface waves so that protective actions can be taken. Strong motion monitoring systems in buildings now support near-real-time structural damage detection systems, and in quiet times can be used for state-of-health monitoring. High-rate GPS data are being integrated with seismic strong motion data, allowing accurate determination of earthquake displacements in near-real time. GPS data, combined with rainfall, groundwater and geophone data, are now used for near-real-time landslide monitoring and warnings. Real-time sea-floor water pressure data are key for assessing tsunami generation by large earthquakes. For monitoring remote volcanoes that lack local ground-based instrumentation, the USGS uses new technologies such as infrasound arrays and the worldwide lightning detection array to detect eruptions in progress. A new real-time UV-camera system for measuring the two dimensional SO2 flux from volcanic plumes will allow correlations with other volcano monitoring data streams to yield fundamental data on changes in gas flux as an eruption precursor, and how magmas de-gas prior to and during eruptions. Precision magnetic field data support the generation of real-time indices of geomagnetic disturbances (Dst, K and others), and can be used to model electrical currents in the crust and bulk power system. Ground-induced electrical current monitors are used to track those currents so that power grids can be effectively managed during geomagnetic storms. Beyond geophysical sensor data, USGS is using social media to rapidly detect possible earthquakes and to collect firsthand accounts of the impacts of

  14. Warning times for species extinctions due to climate change.

    Science.gov (United States)

    Stanton, Jessica C; Shoemaker, Kevin T; Pearson, Richard G; Akçakaya, H Resit

    2015-03-01

    Climate change is likely to become an increasingly major obstacle to slowing the rate of species extinctions. Several new assessment approaches have been proposed for identifying climate-vulnerable species, based on the assumption that established systems such as the IUCN Red List need revising or replacing because they were not developed to explicitly consider climate change. However, no assessment approach has been tested to determine its ability to provide advanced warning time for conservation action for species that might go extinct due to climate change. To test the performance of the Red List system in this capacity, we used linked niche-demographic models with habitat dynamics driven by a 'business-as-usual' climate change scenario. We generated replicate 100-year trajectories for range-restricted reptiles and amphibians endemic to the United States. For each replicate, we categorized the simulated species according to IUCN Red List criteria at annual, 5-year, and 10-year intervals (the latter representing current practice). For replicates that went extinct, we calculated warning time as the number of years the simulated species was continuously listed in a threatened category prior to extinction. To simulate data limitations, we repeated the analysis using a single criterion at a time (disregarding other listing criteria). Results show that when all criteria can be used, the Red List system would provide several decades of warning time (median = 62 years; >20 years for 99% of replicates), but suggest that conservation actions should begin as soon as a species is listed as Vulnerable, because 50% of replicates went extinct within 20 years of becoming uplisted to Critically Endangered. When only one criterion was used, warning times were substantially shorter, but more frequent assessments increased the warning time by about a decade. Overall, we found that the Red List criteria reliably provide a sensitive and precautionary way to assess extinction

  15. Cigarette Graphic Warning Labels Are Not Created Equal: They Can Increase or Decrease Smokers' Quit Intentions Relative to Text-Only Warnings.

    Science.gov (United States)

    Evans, Abigail T; Peters, Ellen; Shoben, Abigail B; Meilleur, Louise R; Klein, Elizabeth G; Tompkins, Mary Kate; Romer, Daniel; Tusler, Martin

    2017-10-01

    Cigarette graphic-warning labels elicit negative emotion. Research suggests negative emotion drives greater risk perceptions and quit intentions through multiple processes. The present research compares text-only warning effectiveness to that of graphic warnings eliciting more or less negative emotion. Nationally representative online panels of 736 adult smokers and 469 teen smokers/vulnerable smokers were randomly assigned to view one of three warning types (text-only, text with low-emotion images, or text with high-emotion images) four times over 2 weeks. Participants recorded their emotional reaction to the warnings (measured as arousal), smoking risk perceptions, and quit intentions. Primary analyses used structural equation modeling. Participants in the high-emotion condition reported greater emotional reaction than text-only participants (bAdult = 0.21; bTeen = 0.27, p's intentions. Warning labels with images that elicit more negative emotional reaction are associated with increased risk perceptions and quit intentions in adults and teens relative to text-only warnings. However, graphic warnings containing images which evoke little emotional reaction can backfire and reduce risk perceptions and quit intentions versus text-only warnings. This research is the first to directly manipulate two emotion levels in sets of nine cigarette graphic warning images and compare them with text-only warnings. Among adult and teen smokers, high-emotion graphic warnings were associated with increased risk perceptions and quit intentions versus text-only warnings. Low-emotion graphic warnings backfired and tended to reduce risk perceptions and quit intentions versus text-only warnings. Policy makers should be aware that merely placing images on cigarette packaging is insufficient to increase smokers' risk perceptions and quit intentions. Low-emotion graphic warnings will not necessarily produce desired population-level benefits relative to text-only or high-emotion warnings.

  16. Graphic cigarette pack warnings do not produce more negative implicit evaluations of smoking compared to text-only warnings.

    Science.gov (United States)

    Van Dessel, Pieter; Smith, Colin Tucker; De Houwer, Jan

    2018-01-01

    Graphic warnings (GWs) on cigarette packs are widely used internationally with the aim of reducing smoking behavior. In the current study, we investigated whether GWs influence implicit evaluations of smoking, a potential moderator of smoking behavior, as measured with an Implicit Association Test (IAT). Results showed that viewing a GW did not produce more negative implicit evaluations of smoking for daily smokers, occasional smokers, or non-smokers, compared to viewing a text-only warning. If anything, effects were in the direction of evaluations of smoking being more positive after certain participants (i.e., daily and occasional smokers) viewed a GW. We also did not find any beneficial effects of GWs on explicit evaluations of smoking. These results contrast with the observation that non-smokers and occasional smokers (but not daily smokers) believed that GWs would be more effective than the text-only warnings. We discuss implications and limitations of these findings and provide recommendations for improving the effectiveness of cigarette pack warnings on implicit evaluations.

  17. The Most Effective Methods for Delivering Severe Weather Early Warnings to Fishermen on Lake Victoria.

    Science.gov (United States)

    Tushemereirwe, Richard; Tuhebwe, Doreen; Cooper, Mary Ann; D'ujanga, Florence Mutonyi

    2017-02-22

    Introduction : It is estimated that five thousand people die on Lake Victoria every year by drowning which is triggered by severe weather hazards like lightning. Objectives :  In order to improve predictability of severe weather conditions on Lake Victoria, there is need to deliver timely and effective Severe Weather Early Warning Systems (SWEWS) to those at risk. On Lake Victoria, previous SWEW service trials ceased with the end of the funding grants. This study therefore assessed the possibility of sustaining the SWEW service by assessing willingness to pay.   Methods : An assessment was conducted between March and May 2015 to determine the SWEW service improvements desired by the population. A convenience sample of respondents was gathered and interviewed during impromptu visits to landing sites on Lake Victoria. The respondents were also among community members that had earlier participated in a pilot assessing the feasibility of mobile phones is delivering SWEW alerts.  Semi-structured questionnaires were administered to fishermen and fisher folks at the landing site to gather suggestions/strategies for (i) better design and implementation of SWEW service, (ii) use of smart phones, and (iii) their ability and willingness to pay for a SWEW service. Results were presented as frequencies. Results : Two hundred fifteen respondents from fourteen landing sites (communities) were interviewed. Over 50% of the respondents (113/215) were aware about at least one community member who had been injured due to lightening on the lake in the past year. Ninety two percent (198/215) of the respondents reported using mobile phones as their main tool of communication but only 4% had smart phones that could receive early warning weather alerts through internet connectivity. Seventy five percent of respondents said they would welcome a system that could deliver commercial weather alerts and 65% were willing to pay for such a service.   Conclusions : A SWEW service is feasible

  18. Fusion Power Demonstration III

    International Nuclear Information System (INIS)

    Lee, J.D.

    1985-07-01

    This is the third in the series of reports covering the Fusion Power Demonstration (FPD) design study. This volume considers the FPD-III configuration that incorporates an octopole end plug. As compared with the quadrupole end-plugged designs of FPD-I and FPD-II, this octopole configuration reduces the number of end cell magnets and shortens the minimum ignition length of the central cell. The end-cell plasma length is also reduced, which in turn reduces the size and cost of the end cell magnets and shielding. As a contiuation in the series of documents covering the FPD, this report does not stand alone as a design description of FPD-III. Design details of FPD-III subsystems that do not differ significantly from those of the FPD-II configuration are not duplicated in this report

  19. Fusion Power Demonstration III

    Energy Technology Data Exchange (ETDEWEB)

    Lee, J.D. (ed.)

    1985-07-01

    This is the third in the series of reports covering the Fusion Power Demonstration (FPD) design study. This volume considers the FPD-III configuration that incorporates an octopole end plug. As compared with the quadrupole end-plugged designs of FPD-I and FPD-II, this octopole configuration reduces the number of end cell magnets and shortens the minimum ignition length of the central cell. The end-cell plasma length is also reduced, which in turn reduces the size and cost of the end cell magnets and shielding. As a contiuation in the series of documents covering the FPD, this report does not stand alone as a design description of FPD-III. Design details of FPD-III subsystems that do not differ significantly from those of the FPD-II configuration are not duplicated in this report.

  20. Ensemble methods for Etna volcano warning system

    Science.gov (United States)

    Scandura, Danila; Cannavò, Flavio; Aliotta, Marco; Cassisi, Carmelo; Montalto, Placido

    2017-04-01

    The large amount of signals used for volcanic monitoring allow detecting volcano criticalities with unprecedented reliability. At the same time, the use of different monitoring networks makes essential the development of a system that synthesizes into a single information the overall state of the volcano. In this context, the ensemble learning techniques can play a useful role accepting different nature inputs and synthesizing the information in a single output. In broad terms, these techniques use many weak learning algorithms to achieve the best predictive performance compared to any obtained from classical learning algorithms. By averaging the results of each weak learner, the ensemble algorithms reduce the risk of using a single non-discriminative weak learning algorithm and allows for a more accurate classification. Here we used the ensemble techniques to classify three different states of Etna volcano: 1) Quiet; 2) Strombolian activity; 3) Lava fountain. We carried out several simulations using a large data set spanning the 2011-2015 time interval, including the records of most part of monitored geophysical parameters and the corresponding volcanic state. Simulations were performed subdividing the available data into training and test sets. We checked the ability of the proposed method to recognize automatically the lava fountain episodes. To this purpose, we tested different ensemble techniques changing associated parameters and weak learners. The found system was able to identify the lava fountain episode with a reliability over 70% and to detect the beginning of lava fountain episode in the totality of the test cases. Results suggest that the proposed system can be seen as a promising tool for civil protection purposes.

  1. III-V microelectronics

    CERN Document Server

    Nougier, JP

    1991-01-01

    As is well known, Silicon widely dominates the market of semiconductor devices and circuits, and in particular is well suited for Ultra Large Scale Integration processes. However, a number of III-V compound semiconductor devices and circuits have recently been built, and the contributions in this volume are devoted to those types of materials, which offer a number of interesting properties. Taking into account the great variety of problems encountered and of their mutual correlations when fabricating a circuit or even a device, most of the aspects of III-V microelectronics, from fundamental p

  2. Verification of warnings at the Meteorological and Hydrological Service of Croatia

    Science.gov (United States)

    Kalin, Lovro

    2017-04-01

    The role of national meteorological services is increasingly related to warnings. This is particularly stressed due to more frequent extreme events and severe weather. At the Meteorological and Hydrological Service of Croatia various warnings products are introduced, from Civil protection service and MeteoAlarm to different specialized products, such as heat spells, cold spells, forest fire warnings, etc. Verification of warnings is a relatively new field, with spurious methods and diverse data. Still, various results of warnings will be presented in this paper, mostly through contingency tables and related verification scores. These results provide an insight to the forecast system, it's properties and give a good feed-back to the forecasters.

  3. Risk management: application of early warning systems to emergency plans

    Science.gov (United States)

    Garcia, C.; Sterlacchini, S.; Pasuto, A.; de Amicis, M.

    2009-04-01

    Warning System and emergency plans are two fundamental elements of risk management and governance, but unfortunately, most of the times, they are developed independently one from the other, as sequential steps not necessary linked. The main goal of this research is to develop a methodology for applying Early Warning Systems - Community Based to the emergency plan using the results of social surveys and quantitative risk assessment, taking into account the administrative structure and the planning system of the study area, as well as the legislative obligations of each entity involved in the risk governance and emergency management. Using a integrative scientific and social approach to natural hazards the research aim to contribute to fill the gap between scientists, policy makers, stakeholders and community. Initially applied in Comunità Montana Valtellina di Tirano, Italy, the methodology involves the application of two comprehensive surveys. The first is addressed to stakeholders (including policy makers, emergency managers, emergency volunteers, consultants and scientists) in order to determine their needs, points of view, concerns and constraints. The second survey is addressed specifically to local community to assess risk perception, awareness, needs, capacity and level of trust towards stakeholders, besides asking for their willingness to participate in future risk communication activities. The Early Warning System developed includes all the stages of the early warning process (hazard evaluation and forecasting; warning and dissemination and public response) and would be based on a multidisciplinary partnership that takes into account the different actors involved in the risk management in order to accomplish a more reliable and credible result, including an emergency plan specifically designed for each study area. After evaluating the results of the surveys, information and education campaigns will be developed with the objective of reducing vulnerability

  4. Smokers’ and E-Cigarette Users’ Perceptions about E-Cigarette Warning Statements

    Directory of Open Access Journals (Sweden)

    Olivia A. Wackowski

    2016-06-01

    Full Text Available Cigarette warning labels are important sources of risk information, but warning research for other tobacco products is limited. This study aimed to gauge perceptions about warnings that may be used for e-cigarettes. We conducted six small focus groups in late 2014/early 2015 with adult current e-cigarette users and cigarette-only smokers. Participants rated and discussed their perceptions of six e-cigarette warning statements, and warnings in two existing Vuse and MarkTen e-cigarette ads. Participants were open to e-cigarette warnings and provided the strongest reactions to statements warning that e-liquid/e-vapor or e-cigarettes can be poisonous, contain toxins, or are “not a safe alternative to smoking”. However, many also noted that these statements were exaggerated, potentially misleading, and could scare smokers away from reducing their harm by switching to e-cigarettes. Opinions on the Food and Drug Administration’s proposed nicotine addiction warning and warnings that e-cigarettes had not been approved for smoking cessation or had unknown health effects were mixed. Participants perceived MarkTen’s advertisement warning to be stronger and more noticeable than Vuse’s. Care should be taken in developing e-cigarette warnings given their relative recentness and potential for harm reduction compared to other tobacco products. Additional research, including with varied audiences, would be instructive.

  5. Cannabis Users' Recommended Warnings for Packages of Legally Sold Cannabis: An Australia-Centered Study.

    Science.gov (United States)

    Malouff, John M; Johnson, Caitlin E; Rooke, Sally E

    2016-01-01

    Introduction: Although cannabis use creates health risks, governments have recently been legalizing either medical use or leisure use. These governments can mandate health warnings on cannabis packages. Prior research examined recommended warnings of cannabis experts. The aim of this study was to obtain suggested cannabis health and safety warnings from cannabis users. Methods: We used a media release, Facebook postings, and announcements in university classes to seek individuals who had used cannabis at least once according to their own report. Using online data collection software that keeps participants anonymous, we asked the individuals to suggest a warning that governments could mandate on cannabis packages. Results: In total, 288 users suggested warnings. Categorizing the warnings into content categories led to six warning topics: (1) risk of harm to mental health and psychological functioning; (2) risk of operating machinery while under the influence; (3) short-term physical side effects; (4) responsible use; (5) long-term negative physical effects; and (6) dependence, addiction, or abuse. The user-suggested warnings overlapped with six expert-recommended warnings identified in prior survey research and included two content areas that did not feature in expert-recommended warnings: short-term physical side effects and the importance of responsible use. Conclusions: The results are consistent with prior findings that some youths perceive cannabis use as potentially harmful. The current findings provide possible new content for warnings on cannabis packages.

  6. Natural Disaster Scenarios in the Food Security Early Warning Contingency Planning Process: The Role of Remotely Sensed Vegetation and Rainfall Data

    Science.gov (United States)

    Brown, M. E.; Funk, C. C.; Choularton, R.

    2006-12-01

    In this talk, we will explore how scenarios are used in early warning systems in Africa as they respond to the food security consequences of droughts and floods, and determine ways EWS could use remote sensing products more effectively. Early warning of an incipient agricultural drought triggers the contingency planning process at the national governmental level, supported by international organizations such as USAID's Famine Early Warning Network or FEWS NET. Contingency planning focuses on updating relevant national contingency plans. These scenarios are usually described as `Worst Case', `Mid-Case', and `Best Case', and focus on providing guidance for humanitarian organizations' assistance planning process. There is an increasingly apparent need to provide appropriate, nuanced, and constructive assistance. Remote sensing can support this objective by providing earlier early warning, giving aid organizations the time necessary to coordinate effective aid packages and policies. In this talk we will explore how recently developed projections of vegetation data one to four months into the future could be used to guide the scenarios both spatially and temporally, and provide probabilities for which case is most likely to occur. A case study of Ethiopia and its contingency planning process for the past few years will be presented.

  7. Human factors field evaluation of automotive headway maintenance/collision warning devices.

    Science.gov (United States)

    Dingus, T A; McGehee, D V; Manakkal, N; Jahns, S K; Carney, C; Hankey, J M

    1997-06-01

    Three on-road studies were conducted to determine how headway maintenance and collision warning displays influence driver behavior. Visual perspective, visual perspective with a pointer, visual perspective combined with an auditory warning, discrete visual warning, and discrete auditory warning were assessed during both coupled headway and deceleration events. Results indicate that when drivers are provided with salient visual information regarding safe headways, they utilize the information and increase their headway when appropriate. Auditory warnings were less effective than visual warnings for increasing headways but may be helpful for improving reaction time during events that require deceleration. Drivers were somewhat insensitive to false alarm rates, at least during short-term use. Finally, and most important, driver headway maintenance increased by as much as 0.5 s when the appropriate visual display was used. However, a study to investigate the longterm effects of such displays on behavior is strongly recommended prior to mass marketing of headway maintenance/collision warning devices.

  8. Fulcrum Network Codes

    DEFF Research Database (Denmark)

    2015-01-01

    Fulcrum network codes, which are a network coding framework, achieve three objectives: (i) to reduce the overhead per coded packet to almost 1 bit per source packet; (ii) to operate the network using only low field size operations at intermediate nodes, dramatically reducing complexity...... in the network; and (iii) to deliver an end-to-end performance that is close to that of a high field size network coding system for high-end receivers while simultaneously catering to low-end ones that can only decode in a lower field size. Sources may encode using a high field size expansion to increase...... the number of dimensions seen by the network using a linear mapping. Receivers can tradeoff computational effort with network delay, decoding in the high field size, the low field size, or a combination thereof....

  9. Cobalt(III) complex

    Indian Academy of Sciences (India)

    Administrator

    CO. –. 2 radi- cals with [Co(III)(phendione)2Cl2]Cl (complex) have been studied by electron pulse radiolysis. Time resolved transient absorption spectra for all the four species show two peaks which match with those of phendione anion radical produced by the reaction of e. – aq with phendione. However, there are some ...

  10. Summary of Session III

    International Nuclear Information System (INIS)

    Furman, M.A.

    2002-01-01

    This is a summary of the talks presented in Session III ''Simulations of Electron-Cloud Build Up'' of the Mini-Workshop on Electron-Cloud Simulations for Proton and Positron Beams ECLOUD-02, held at CERN, 15-18 April 2002

  11. (Afrique francophone) - Phase III

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

    Programme de troisième cycle interuniversitaire en économie (Afrique francophone) - Phase III. Les deux premières phases du projet ... L'Initiative des conseils subventionnaires de la recherche scientifique en Afrique subsaharienne remporte le prix de la diplomatie scientifique. L'Initiative des conseils subventionnaires de ...

  12. Tsunami Early Warning via a Physics-Based Simulation Pipeline

    Science.gov (United States)

    Wilson, J. M.; Rundle, J. B.; Donnellan, A.; Ward, S. N.; Komjathy, A.

    2017-12-01

    Through independent efforts, physics-based simulations of earthquakes, tsunamis, and atmospheric signatures of these phenomenon have been developed. With the goal of producing tsunami forecasts and early warning tools for at-risk regions, we join these three spheres to create a simulation pipeline. The Virtual Quake simulator can produce thousands of years of synthetic seismicity on large, complex fault geometries, as well as the expected surface displacement in tsunamigenic regions. These displacements are used as initial conditions for tsunami simulators, such as Tsunami Squares, to produce catalogs of potential tsunami scenarios with probabilities. Finally, these tsunami scenarios can act as input for simulations of associated ionospheric total electron content, signals which can be detected by GNSS satellites for purposes of early warning in the event of a real tsunami. We present the most recent developments in this project.

  13. Sepsis in Obstetrics: Clinical Features and Early Warning Tools.

    Science.gov (United States)

    Parfitt, Sheryl E; Bogat, Mary L; Hering, Sandra L; Ottley, Charlotte; Roth, Cheryl

    Morbidity and mortality associated with sepsis has gained widespread attention on a local, state, and national level, yet, it remains a complicated disorder that can be difficult to identify in a timely manner. Sepsis in obstetric patients further complicates the diagnosis as alterations in physiology related to pregnancy can mask sepsis indicators normally seen in the general population. If early signs of sepsis go unrecognized, septic shock can develop, leading to organ dysfunction and potential death. Maternal early warning tools have been designed to assist clinicians in recognizing early indications of illness. Through use of clinical pathway-specific tools, disease processes may be detected early, subsequently benefitting patients with aggressive treatment management and intervention.This article is the second in a series of three that discuss the importance of sepsis and septic shock in pregnancy. Risk factors, causes of sepsis, signs and symptoms, and maternal early warning tools are discussed.

  14. Tsunamis detection, monitoring, and early-warning technologies

    CERN Document Server

    Joseph, Antony

    2011-01-01

    The devastating impacts of tsunamis have received increased focus since the Indian Ocean tsunami of 2004, the most devastating tsunami in over 400 years of recorded history. This professional reference is the first of its kind: it provides a globally inclusive review of the current state of tsunami detection technology and will be a much-needed resource for oceanographers and marine engineers working to upgrade and integrate their tsunami warning systems. It focuses on the two main tsunami warning systems (TWS): International and Regional. Featured are comparative assessments of detection, monitoring, and real-time reporting technologies. The challenges of detection through remote measuring stations are also addressed, as well as the historical and scientific aspects of tsunamis.

  15. Early warning signals for critical transitions in a thermoacoustic system

    Science.gov (United States)

    Gopalakrishnan, E. A.; Sharma, Yogita; John, Tony; Dutta, Partha Sharathi; Sujith, R. I.

    2016-01-01

    Dynamical systems can undergo critical transitions where the system suddenly shifts from one stable state to another at a critical threshold called the tipping point. The decrease in recovery rate to equilibrium (critical slowing down) as the system approaches the tipping point can be used to identify the proximity to a critical transition. Several measures have been adopted to provide early indications of critical transitions that happen in a variety of complex systems. In this study, we use early warning indicators to predict subcritical Hopf bifurcation occurring in a thermoacoustic system by analyzing the observables from experiments and from a theoretical model. We find that the early warning measures perform as robust indicators in the presence and absence of external noise. Thus, we illustrate the applicability of these indicators in an engineering system depicting critical transitions. PMID:27767065

  16. Seismic Activity: Public Alert and Warning: Legal Implications

    Science.gov (United States)

    Zocchetti, D.

    2007-12-01

    As science and technology evolve in ways that increase our ability to inform the public of potentially destructive seismic activity, there are significant legal issues for consideration. Even though countries and even states within the United States have differing legal tenets that could either change or at least re-shape the outcome of specific legal questions that this session will be pondering, there are fundamental legal principals that will permeate. It is often said that the law lags behind society and in particular its technological developments. No doubt in the area of warning the public of impending destructive forces of nature or society, the law will need to do some catching up. The law is probably adequately developed for at least some preliminary discussion of the key issues. No matter the legal scheme, if there is a failure or perceived failure in the system to warn people of a pending emergencies, albeit an earthquake, tsunami, or other predictable event, those who are harmed or believe they are harmed will seek relief under the law. Every day there are situations wherein the failure to warn or to adequately warn is key, such as with faulty or defective consumer products, escaped prisoners, and police high-speed vehicle chases. With alert and warning systems for disaster, however, we have a unique set of facts. Generally, the systems and their failures occur during emergencies or at least during situations under apparently exigent circumstances when the disaster's predictability is widely recognized as less than 100 percent. The law, in particular United States tort law, has been particularly lenient when people and organizations are operating during compressed timeframes and their actions are generally considered necessary to address circumstances relative to public safety. The legal system has been forgiving when the actor that failed or appeared to fail was government. The courts have liberally applied the principal of sovereign immunity to

  17. A pocket warning γ-dosimeter with numerical display

    International Nuclear Information System (INIS)

    Jones, A.R.

    1980-09-01

    A pocket warning dosimeter is described. It provides alarms (continuous tone and a flashing red light) when a presettable dose has been accumulated in the range .064 - 16.4 rads (0.64 - 164 μGy). This warning level can be selected in nine steps of 2 with a switch inside the dosimeter. The dose rate is indicated by a series of sound pulses whose repetition rate is proportional to the dose rate. At 1 rad/h (10 mGy/h) about 17 pluses/minute are emitted. The accumulated dose up to 20 rads (0.2 Gy) is displayed in steps of 1 mrad (10 μGy) with a liquid crystal display. A red LED lights before battery failure occurs. The effects of changes in temperature, battery voltage, dose rate and photon energy upon dosimeter sensitivity are presented. Finally, the applications of the dosimeter are discussed. (auth)

  18. 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)

  19. Warning Method of Coal Bursting Failure Danger by Electromagnetic Radiation

    Directory of Open Access Journals (Sweden)

    Guang-Jian Liu

    2015-01-01

    Full Text Available Electromagnetic radiation (EMR can reflect the stress state and deformation level of coal, yet its warning indexes correlated with coal properties and roof caving is poorly understood. The laboratory observations of EMR effects of coal samples bursting failure and in situ investigations in the process of roof caving are presented in this paper. EMR peak with increasing stress is discussed when the failure of coal samples happens, which provides an explanation to EMR signals positively correlated well with the stress loaded. The linearly increasing relation is also found between EMR intensity and the uniaxial compressive strength, and EMR maximum amplitudes and pulses behave a logarithmic accretion tendency with bursting energy indexes of coal. By in situ investigations, it is well found that EMR amplitude can effectively warn coal deformation and failure based on the critical value 120 mV proposed from experiments.

  20. Nuclear radiation-warning detector that measures impedance

    Science.gov (United States)

    Savignac, Noel Felix; Gomez, Leo S; Yelton, William Graham; Robinson, Alex; Limmer, Steven

    2013-06-04

    This invention is a nuclear radiation-warning detector that measures impedance of silver-silver halide on an interdigitated electrode to detect light or radiation comprised of alpha particles, beta particles, gamma rays, X rays, and/or neutrons. The detector is comprised of an interdigitated electrode covered by a layer of silver halide. After exposure to alpha particles, beta particles, X rays, gamma rays, neutron radiation, or light, the silver halide is reduced to silver in the presence of a reducing solution. The change from the high electrical resistance (impedance) of silver halide to the low resistance of silver provides the radiation warning that detected radiation levels exceed a predetermined radiation dose threshold.

  1. Bioethics and deliberative democracy: five warnings from Hobbes.

    Science.gov (United States)

    Trotter, Griffin

    2006-06-01

    Thomas Hobbes is one of the most ardent and thoroughgoing opponents of participatory democracy among Western political philosophers. Though Hobbes's alternative to participatory democracy-assent by subjects to rule by an absolute sovereign-no longer constitutes a viable political alternative for Westerners, his critique of participatory democracy is a potentially valuable source of insight about its liabilities. This essay elaborates five theses from Hobbes that stand as cogent warnings to those who embrace participatory democracy, especially those (such as most bioethicists) advocating for deliberative democracy based on a rational consensus model. In light of these warnings, the author suggests an alternative, modus vivendi approach to deliberative democracy that would radically alter the current practice of bioethics.

  2. Earthquake warning system for infrastructures : a scoping analysis.

    Energy Technology Data Exchange (ETDEWEB)

    Brodsky, Nancy S.; O' Connor, Sharon L.; Stamber, Kevin Louis; Kelic, Andjelka; Fogleman, William E. (GRIT, Inc., Albuquerque, NM); Vugrin, Eric D.; Corbet, Thomas Frank, Jr.; Brown, Theresa Jean

    2011-09-01

    This report provides the results of a scoping study evaluating the potential risk reduction value of a hypothetical, earthquake early-warning system. The study was based on an analysis of the actions that could be taken to reduce risks to population and infrastructures, how much time would be required to take each action and the potential consequences of false alarms given the nature of the action. The results of the scoping analysis indicate that risks could be reduced through improving existing event notification systems and individual responses to the notification; and production and utilization of more detailed risk maps for local planning. Detailed maps and training programs, based on existing knowledge of geologic conditions and processes, would reduce uncertainty in the consequence portion of the risk analysis. Uncertainties in the timing, magnitude and location of earthquakes and the potential impacts of false alarms will present major challenges to the value of an early-warning system.

  3. 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

  4. Earthquake Early Warning Beta Users: Java, Modeling, and Mobile Apps

    Science.gov (United States)

    Strauss, J. A.; Vinci, M.; Steele, W. P.; Allen, R. M.; Hellweg, M.

    2014-12-01

    Earthquake Early Warning (EEW) is a system that can provide a few to tens of seconds warning prior to ground shaking at a user's location. The goal and purpose of such a system is to reduce, or minimize, the damage, costs, and casualties resulting from an earthquake. A demonstration earthquake early warning system (ShakeAlert) is undergoing testing in the United States by the UC Berkeley Seismological Laboratory, Caltech, ETH Zurich, University of Washington, the USGS, and beta users in California and the Pacific Northwest. The beta users receive earthquake information very rapidly in real-time and are providing feedback on their experiences of performance and potential uses within their organization. Beta user interactions allow the ShakeAlert team to discern: which alert delivery options are most effective, what changes would make the UserDisplay more useful in a pre-disaster situation, and most importantly, what actions users plan to take for various scenarios. Actions could include: personal safety approaches, such as drop cover, and hold on; automated processes and procedures, such as opening elevator or fire stations doors; or situational awareness. Users are beginning to determine which policy and technological changes may need to be enacted, and funding requirements to implement their automated controls. The use of models and mobile apps are beginning to augment the basic Java desktop applet. Modeling allows beta users to test their early warning responses against various scenarios without having to wait for a real event. Mobile apps are also changing the possible response landscape, providing other avenues for people to receive information. All of these combine to improve business continuity and resiliency.

  5. Insect-vision inspired collision warning vision processor for automobiles

    OpenAIRE

    Liñán-Cembrano, G.; Carranza-González, L.; Rind, Claire; Zarandy, A.; Soininen, Martti; Rodríguez-Vázquez, Ángel

    2008-01-01

    Vision is expected to play important roles for car safety enhancement. Imaging systems can be used to enlarging the vision field of the driver. For instance capturing and displaying views of hidden areas around the car which the driver can analyze for safer decision-making. Vision systems go a step further. They can autonomously analyze the visual information, identify dangerous situations and prompt the delivery of warning signals. For instance in case of road lane departure, if an overtakin...

  6. 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)

  7. Marketing strategies and warning labels on children's toothpaste.

    Science.gov (United States)

    Basch, Corey Hannah; Rajan, Sonali

    2014-10-01

    The overconsumption of toothpaste has negative consequences, particularly for children. This study's objectives were to describe misleading marketing strategies used in selling children's fluoridated toothpaste and identify warning label characteristics. Two researchers independently coded the packaging from 26 over-the-counter toothpastes that are specifically marketed for children. Aggressive marketing strategies targeting children were identified: every toothpaste in this sample displayed at least 1 children's animated character, 50% had at least 1 picture of a food item, 92.3% stated they were flavored and 26.9% depicted a full swirl of toothpaste, directly contradicting dentist recommendations for young children. Further, on most toothpaste tubes, warnings regarding fluoride overconsumption for young children were only listed on the back and in very small font. Misleading marketing strategies are regularly used in selling children's toothpaste as if it is a food product, while warnings regarding overconsumption among youth are minimized. Dental hygienists are in an important position to help parents of young children implement safe oral care practices. Copyright © 2014 The American Dental Hygienists’ Association.

  8. 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.

  9. Financial distress in Brazilian banks: an early warning model,

    Directory of Open Access Journals (Sweden)

    Paulo Sérgio Rosa

    2017-12-01

    Full Text Available ABSTRACT This study aims to propose an early warning model for predicting financial distress events in Brazilian banking institutions. Initially, a set of economic-financial indicators is evaluated, suggested by the risk management literature for identifying situations of bank insolvency and exclusively taking public information into account. For this, multivariate logistic regressions are performed, using as independent variables financial indicators involving capital adequacy, asset quality, management quality, earnings, and liquidity. The empirical analysis was based on a sample of 142 financial institutions, including privately and publicly held and state-owned companies, using monthly data from 2006 to 2014, which resulted in panel data with 12,136 observations. In the sample window there were nine cases of Brazilian Central Bank intervention or mergers and acquisitions motivated by financial distress. The results were evaluated based on the estimation of the in-sample parameters, out-of-sample tests, and the early warning model signs for a 12-month forecast horizon. These obtained true positive rates of 81%, 94%, and 89%, respectively. We conclude that typical balance-sheet indicators are relevant for the early warning signs of financial distress in Brazilian banks, which contributes to the literature on financial intermediary credit risk, especially from the perspective of bank supervisory agencies acting towards financial stability.

  10. 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.

  11. Vrancea early warning system for Bucharest and industrial objectives

    International Nuclear Information System (INIS)

    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)

  12. Early warnings of hazardous thunderstorms over Lake Victoria

    Science.gov (United States)

    Thiery, Wim; Gudmundsson, Lukas; Bedka, Kristopher; Semazzi, Fredrick H. M.; Lhermitte, Stef; Willems, Patrick; van Lipzig, Nicole P. M.; Seneviratne, Sonia I.

    2017-07-01

    Weather extremes have harmful impacts on communities around Lake Victoria in East Africa. Every year, intense nighttime thunderstorms cause numerous boating accidents on the lake, resulting in thousands of deaths among fishermen. Operational storm warning systems are therefore crucial. Here we complement ongoing early warning efforts based on numerical weather prediction, by presenting a new satellite data-driven storm prediction system, the prototype Lake Victoria Intense storm Early Warning System (VIEWS). VIEWS derives predictability from the correlation between afternoon land storm activity and nighttime storm intensity on Lake Victoria, and relies on logistic regression techniques to forecast extreme thunderstorms from satellite observations. Evaluation of the statistical model reveals that predictive power is high and independent of the type of input dataset. We then optimise the configuration and show that false alarms also contain valuable information. Our results suggest that regression-based models that are motivated through process understanding have the potential to reduce the vulnerability of local fishing communities around Lake Victoria. The experimental prediction system is publicly available under the MIT licence at http://github.com/wthiery/VIEWS.

  13. The Lake Victoria Intense Storm Early Warning System (VIEWS)

    Science.gov (United States)

    Thiery, Wim; Gudmundsson, Lukas; Bedka, Kristopher; Semazzi, Fredrick; Lhermitte, Stef; Willems, Patrick; van Lipzig, Nicole; Seneviratne, Sonia I.

    2017-04-01

    Weather extremes have harmful impacts on communities around Lake Victoria in East Africa. Every year, intense nighttime thunderstorms cause numerous boating accidents on the lake, resulting in thousands of deaths among fishermen. Operational storm warning systems are therefore crucial. Here we complement ongoing early warning efforts based on NWP, by presenting a new satellite data-driven storm prediction system, the prototype Lake Victoria Intense storm Early Warning System (VIEWS). VIEWS derives predictability from the correlation between afternoon land storm activity and nighttime storm intensity on Lake Victoria, and relies on logistic regression techniques to forecast extreme thunderstorms from satellite observations. Evaluation of the statistical model reveals that predictive power is high and independent of the input dataset. We then optimise the configuration and show that also false alarms contain valuable information. Our results suggest that regression-based models that are motivated through process understanding have the potential to reduce the vulnerability of local fishing communities around Lake Victoria. The experimental prediction system is publicly available under the MIT licence at http://github.com/wthiery/VIEWS.

  14. Prescriber compliance with black box warnings in older adult patients.

    Science.gov (United States)

    Ricci, Judith R; Coulen, Charmaine; Berger, Jan E; Moore, Marsha C; McQueen, Angela; Jan, Saira A

    2009-11-01

    Patients prescribed medications with US Food and Drug Administration-issued black box warnings (BBWs) warrant additional vigilance by prescribers because these drugs can cause serious adverse drug events. Seniors are at greater risk for adverse drug events due to increased medication burden and greater health vulnerability. To improve our understanding of the prescribing and patient-monitoring practices of physicians prescribing medications with a BBW to patients age >or=65 years in an ambulatory care setting. A retrospective cohort study of administrative pharmacy and medical claims identified 58,190 patients age >or=65 years in the Horizon Blue Cross Blue Shield of New Jersey beneficiary population with >or=1 claim for >or=1 of the 8 targeted medications between January 1, 2005, and December 31, 2005. Medications included carbamazepine, amiodarone, ketoconazole, loop diuretics, methotrexate, cyclosporine, metformin and combinations, and cilostazol. Patients were followed 12 months from the index prescription date to evaluate prescriber compliance with BBWs using operationalized definitions of compliance. Patients prescribed drugs with a drug-laboratory warning had lower rates of prescriber BBW compliance (0.7%-24.9%) than patients prescribed drugs with a drug-disease warning (84.7%-90.2%). Administrative claims analysis identified low rates of prescriber compliance with BBWs in managing patients age >or=65 years. Claims analysis may be a cost-effective strategy to monitor prescriber compliance with BBWs in older patients at higher risk.

  15. Different black box warning labeling for same-class drugs.

    Science.gov (United States)

    Panagiotou, Orestis A; Contopoulos-Ioannidis, Despina G; Papanikolaou, Panagiotis N; Ntzani, Evangelia E; Ioannidis, John P A

    2011-06-01

    Black box warnings (BBWs) are the strongest medication-related safety warnings in a drug's labeling information and highlight major risks. Absence of a BBW or asynchronous addition of a BBW among same-class drugs could have major implications. We identified the 20 top-selling drugs in 2008 (10 with BBWs and 10 without BBWs on their label) that belonged to different drug classes. We collected labeling information on all drugs belonging in these 20 classes, and recorded differences in the presence and timing of acquisition of BBWs for same-class drugs. Across the 20 evaluated drug classes, we identified 176 different agents, of which 7 had been withdrawn for safety reasons. The reasons for the withdrawals became BBWs in other same-class agents only in two of the seven cases. Differences were identified in 9 of the 20 classes corresponding to 15 BBWs that were not present in all drugs of the same class. The information for 10 of the 15 different BBWs were included in the labels of same-class drugs as simple warnings or text, while it was absent entirely in 5 BBWs. The median interval from the time the BBW had appeared in another drug of the same class was 66 months. Differences in BBW labeling in same-class drugs are common and shape impressions about the safety of similar agents. BBW labeling needs to become more systematic.

  16. 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.

  17. Diversity in warning coloration is easily recognized by avian predators.

    Science.gov (United States)

    Arenas, L M; Stevens, M

    2017-07-01

    Warning coloration is a widespread strategy to alert predators about prey unprofitability. The success of this strategy partly depends on predators being able to learn and recognize certain signals as indicators of toxicity, and theory predicts that this is easier if signals converge on similar colours. However, the diversity in warning signal form is astonishing, contradicting predictions. Here, we quantified ladybird signal diversity with respect to avian vision, measuring how unique and discernible each signal is from one another. In addition, we measured signal conspicuousness against a series of backgrounds, namely an average green, average brown, and where we collected each species, to determine whether signals are more contrasting against the ladybirds' local substrates than compared to average ones. This allowed us to establish whether there are local adaptations in conspicuousness that promote signal diversity. We found that while ladybird signals are unique and recognizable, specialist species are more contrasting against the background they are most commonly found on. However, overall our study suggests that warning signals have evolved to be effective against a wide range of natural backgrounds, partly explaining the success of this strategy in nature. © 2017 The Authors. Journal of Evolutionary Biology published by John Wiley & Sons Ltd on behalf of European Society for Evolutionary Biology.

  18. Raising awareness of Graves' orbitopathy with early warning cards.

    Science.gov (United States)

    Mitchell, Anna L; Hickey, Janis; Vaidya, Bijay; Mason, Rhianne; Ajjan, Ramzi; Zammitt, Nicola; Perros, Petros; Dayan, Colin

    2017-12-01

    Clinically significant Graves' orbitopathy (GO) develops in about 25% of those with Graves' disease (GD); most cases of GD in the UK are managed by endocrinologists. Despite this, patients report significant delays before a diagnosis of GO is made. Measures to increase awareness of the early signs of GO and establishing a fast-track referral pathway to specialist care should overcome these delays and potentially improve outcomes. We aimed to determine whether issuing a "GO early warning card" to all GD patients raises awareness of GO and facilitates early diagnosis, what percentage of cards result in a telephone contact, the number of "false reports" from card carriers and patient perceptions of the cards. We designed cards, detailing common GO symptoms and a telephone number for patients developing symptoms. Cards were distributed to 160 GD patients, without known GO, attending four endocrine clinics in the UK (December 2015-March 2016). We recorded telephone contacts over twelve months from when the last card was distributed and gathered patient feedback. The early warning cards were well received by patients in general. Over twelve months, ten telephone contacts from nine patients, all related to ocular symptoms, were received (6% of cards issued). Nine calls resulted in an additional clinic review (for eight patients), and four diagnoses of GO were made. This pilot study demonstrates that it is feasible to distribute GO early warning cards in clinic, and that they can be used to facilitate an early diagnosis of GO. © 2017 John Wiley & Sons Ltd.

  19. 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

  20. Mobile Systems III

    National Research Council Canada - National Science Library

    Stiller, Burkhard; Eyermann, Frank; Heursch, Arnd; Racz, Peter

    2004-01-01

    ...'. While the search for open, unsecured, and publicly available Wireless Local Area Networks (WLAN) occurred to be a sports event', today a well established group of people keep track of those activities...

  1. Research to Operations: From Point Positions, Earthquake and Tsunami Modeling to GNSS-augmented Tsunami Early Warning

    Science.gov (United States)

    Stough, T.; Green, D. S.

    2017-12-01

    This collaborative research to operations demonstration brings together the data and algorithms from NASA research, technology, and applications-funded projects to deliver relevant data streams, algorithms, predictive models, and visualization tools to the NOAA National Tsunami Warning Center (NTWC) and Pacific Tsunami Warning Center (PTWC). Using real-time GNSS data and models in an operational environment, we will test and evaluate an augmented capability for tsunami early warning. Each of three research groups collect data from a selected network of real-time GNSS stations, exchange data consisting of independently processed 1 Hz station displacements, and merge the output into a single, more accurate and reliable set. The resulting merged data stream is delivered from three redundant locations to the TWCs with a latency of 5-10 seconds. Data from a number of seismogeodetic stations with collocated GPS and accelerometer instruments are processed for displacements and seismic velocities and also delivered. Algorithms for locating and determining the magnitude of earthquakes as well as algorithms that compute the source function of a potential tsunami using this new data stream are included in the demonstration. The delivered data, algorithms, models and tools are hosted on NOAA-operated machines at both warning centers, and, once tested, the results will be evaluated for utility in improving the speed and accuracy of tsunami warnings. This collaboration has the potential to dramatically improve the speed and accuracy of the TWCs local tsunami information over the current seismometer-only based methods. In our first year of this work, we have established and deployed an architecture for data movement and algorithm installation at the TWC's. We are addressing data quality issues and porting algorithms into the TWCs operating environment. Our initial module deliveries will focus on estimating moment magnitude (Mw) from Peak Ground Displacement (PGD), within 2

  2. 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

  3. 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

  4. Regional seismic hazard for Revithoussa, Greece: an earthquake early warning Shield and selection of alert signals

    Directory of Open Access Journals (Sweden)

    Y. Xu

    2003-01-01

    Full Text Available The feasibility of an earthquake early warning Shield in Greece is being explored as a European demonstration project. This will be the first early warning system in Europe. The island of Revithoussa is a liquid natural gas storage facility near Athens from which a pipeline runs to a gas distribution centre in Athens. The Shield is being centred on these facilities. The purpose here is to analyze seismicity and seismic hazard in relation to the Shield centre and the remote sensor sites in the Shield network, eventually to help characterize the hazard levels, seismic signals and ground vibration levels that might be observed or create an alert situation at a station. Thus this paper mainly gives estimation of local seismic hazard in the regional working area of Revithoussa by studying extreme peak ground acceleration (PGA and magnitudes. Within the Shield region, the most important zone to be detected is WNW from the Shield centre and is at a relatively short distance (50 km or less, the Gulf of Corinth (active normal faults region. This is the critical zone for early warning of strong ground shaking. A second key region of seismicity is at an intermediate distance (100 km or more from the centre, the Hellenic seismic zone south or southeast from Peloponnisos. A third region to be detected would be the northeastern region from the centre and is at a relatively long distance (about 150 km, Lemnos Island and neighboring region. Several parameters are estimated to characterize the seismicity and hazard. These include: the 50-year PGA with 90% probability of not being exceeded (pnbe using Theodulidis & Papazachos strong motion attenuation for Greece, PGANTP; the 50-year magnitude and also at the 90% pnbe, M50 and MP50, respectively. There are also estimates of the earthquake that is most likely to be felt at a damaging intensity level, these are the most perceptible earthquakes at intensities VI, VII and VIII with magnitudes MVI, MVII and MVIII

  5. Toward tsunami early warning system in Indonesia by using rapid rupture durations estimation

    Energy Technology Data Exchange (ETDEWEB)

    Madlazim [Physics Department, Faculty Mathematics and Sciences of Surabaya State University (UNESA) Jl. Ketintang, Surabaya 60231 (Indonesia)

    2012-06-20

    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 < 70 km and magnitude > 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{sub dur}. T{sub dur} can be related to the critical parameters rupture length (L), depth (z), and shear modulus ({mu}) while T{sub dur} may be related to wide (W), slip (D), z or {mu}. 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/{mu}, 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{sub dur} is proportional L and greater Mo/{mu}. Because Mo/{mu} 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

  6. Early warning systems in the UK: variation in content and implementation strategy has implications for a NHS early warning system.

    Science.gov (United States)

    Patterson, Caroline; Maclean, Fiona; Bell, Cameron; Mukherjee, Elora; Bryan, Leoni; Woodcock, Thomas; Bell, Derek

    2011-10-01

    The Royal College of Physicians report Acute medical care: the right person, in the right setting--first time advocates the introduction of a standardised NHS Early Warning Score (NEWS). Recommendations for the optimum scoring system have been released by NHS Quality Improvement Scotland (NHS QIS) and the National Institute for Health and Clinical Excellence (NICE). This study reviewed clinical practice in London and Scotland against national guidelines. All hospitals responsible for acute medical admissions completed a telephone survey (n = 25 London; n = 23 Scotland). All used an early warning system at point of entry to care. Eleven different systems were used in London and five in Scotland. Forty per cent of London hospitals and 70% of Scottish hospitals incorporated the minimum data set recommended by NICE. Overall, Scotland was closer to achieving standardisation. If NEWS is implemented, consideration of the NHS QIS approach may support a more consistent response.

  7. Early Warning Implementation Guide: "Using the Massachusetts Early Warning Indicator System (EWIS) and Local Data to Identify, Diagnose, Support, and Monitor Students in Grades 1-12"

    Science.gov (United States)

    Massachusetts Department of Elementary and Secondary Education, 2014

    2014-01-01

    The purpose of this guide is to provide information on how to use early warning data, including the Massachusetts Early Warning Indicator System (EWIS), to identify, diagnose, support and monitor students in grades 1-12. It offers educators an overview of EWIS and how to effectively use these data in conjunction with local data by following a…

  8. Early Warning System Implementation Guide: For Use with the National High School Center's Early Warning System Tool v2.0

    Science.gov (United States)

    Therriault, Susan Bowles; Heppen, Jessica; O'Cummings, Mindee; Fryer, Lindsay; Johnson, Amy

    2010-01-01

    This Early Warning System (EWS) Implementation Guide is a supporting document for schools and districts that are implementing the National High School Center's Early Warning System (EWS) Tool v2.0. Developed by the National High School Center at the American Institutes for Research (AIR), the guide and tool support the establishment and…

  9. 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.

  10. The Ancona Early Warning Centre, Instrumentation and Continuous Monitoring of the Landslide

    Science.gov (United States)

    Cardellini, S.

    2013-12-01

    have been preassembled and installed in site with DMS REELER, connecting the required number of modules, each containing one or more geotechnical-geophysical sensors and the electronic boards for data collection and transmission. Transmission system The transmitted data coming from different sensors, are collected according to the two following procedures: a) I and II Level Net: data transmission in real time through a WiFi Standard HyperLan to the Town Monitoring Centre. b) III Level Net and, DMS system, wheatear station: data transmission through periodic GSM in CSD mode. Early Warning Management Inside the Monitoring Room of the Ancona Early Warning Centre a staff of 8 people control the monitoring data, verify the data flow, cross-check carefully the SMS warnings from the surface and borehole monitoring systems, verifying and comparing the data also with the rain events and potential triggers. Personal on duty control the data also during the night and weekend 365day/y. The staff was trained specifically for the overall instrumentation allowing in this way to be ready in case of transmission, maintenance to the software and remote control unit in all wheatear conditions.

  11. Study of Disseminating Landslide Early Warning Information in Malaysia

    Science.gov (United States)

    Koay, Swee Peng; Lateh, Habibah; Tien Tay, Lea; Ahamd, Jamilah; Chan, Huah Yong; Sakai, Naoki; Jamaludin, Suhaimi

    2015-04-01

    In Malaysia, rain induced landslides are occurring more often than before. The Malaysian Government allocates millions of Malaysian Ringgit for slope monitoring and slope failure remedial measures in the budget every year. In rural areas, local authorities also play a major role in monitoring the slope to prevent casualty by giving information to the residents who are staying near to the slopes. However, there are thousands of slopes which are classified as high risk slopes in Malaysia. Implementing site monitoring system in these slopes to monitor the movement of the soil in the slopes, predicting the occurrence of slopes failure and establishing early warning system are too costly and almost impossible. In our study, we propose Accumulated Rainfall vs. Rainfall Intensity prediction method to predict the slope failure by referring to the predicted rainfall data from radar and the rain volume from rain gauges. The critical line which determines if the slope is in danger, is generated by simulator with well-surveyed the soil property in the slope and compared with historical data. By establishing such predicting system, the slope failure warning information can be obtained and disseminated to the surroundings via SMS, internet and siren. However, establishing the early warning dissemination system is not enough in disaster prevention, educating school children and the community by giving knowledge on landslides, such as landslide's definition, how and why does the slope failure happen and when will it fail, to raise the risk awareness on landslides will reduce landslides casualty, especially in rural area. Moreover, showing video on the risk and symptom of landslides in school will also help the school children gaining the knowledge of landslides. Generating hazard map and landslides historical data provides further information on the occurrence of the slope failure. In future, further study on fine tuning of landslides prediction method, applying IT technology to

  12. Efforts Toward an Early Warning Crop Monitor for Countries at Risk

    Science.gov (United States)

    Budde, M. E.; Verdin, J. P.; Barker, B.; Humber, M. L.; Becker-Reshef, I.; Justice, C. O.; Magadzire, T.; Galu, G.; Rodriguez, M.; Jayanthi, H.

    2015-12-01

    Assessing crop growing conditions is a crucial aspect of monitoring food security in the developing world. One of the core components of the Group on Earth Observations - Global Agricultural Monitoring (GEOGLAM) targets monitoring Countries at Risk (component 3). The Famine Early Warning Systems Network (FEWS NET) has a long history of utilizing remote sensing and crop modeling to address food security threats in the form of drought, floods, pest infestation, and climate change in some of the world's most at risk countries. FEWS NET scientists at the U.S. Geological Survey Earth Resources Observation and Science (EROS) Center and the University of Maryland Department of Geography have undertaken efforts to address component 3, by promoting the development of a collaborative Early Warning Crop Monitor (EWCM) that would specifically address Countries at Risk. A number of organizations utilize combinations of satellite earth observations, field campaigns, network partner inputs, and crop modeling techniques to monitor crop conditions throughout the world. Agencies such as the Food and Agriculture Organization of the United Nations (FAO), United Nations World Food Programme (WFP), and the European Commission's Joint Research Centre (JRC) provide agricultural monitoring information and reporting across a broad number of areas at risk and in many cases, organizations routinely report on the same countries. The latter offers an opportunity for collaboration on crop growing conditions among agencies. The reduction of uncertainty and achievement of consensus will help strengthen confidence in decisions to commit resources for mitigation of acute food insecurity and support for resilience and development programs. In addition, the development of a collaborative global EWCM will provide each of the partner agencies with the ability to quickly gather crop condition information for areas where they may not typically work or have access to local networks. Using a framework

  13. Graphic warnings and text warning labels on cigarette packages in Riyadh Kingdom of Saudi Arabia: Awareness and perceptions

    Directory of Open Access Journals (Sweden)

    Hoda Jradi

    2018-01-01

    CONCLUSIONS: The study suggests that while graphic warning labels are perceived as necessary on cigarette packages the currently used messages are not clear and therefore do not serve their intended purposes. Measures should be undertaken to ensure that pictorial cigarette labels used in Saudi Arabia are culturally and ethnically appropriate and are rotated on a regular basis to ensure salience among smokers and nonsmokers alike.

  14. Meteorological Integration for the Biological Warning and Incident Characterization (BWIC) System: General Guidance for BWIC Cities

    Energy Technology Data Exchange (ETDEWEB)

    Shaw, William J.; Wang, Weiguo; Rutz, Frederick C.; Chapman, Elaine G.; Rishel, Jeremy P.; Xie, YuLong; Seiple, Timothy E.; Allwine, K Jerry

    2007-02-16

    The U.S. Department of Homeland Security (DHS) is responsible for developing systems to detect the release of aerosolized bioagents in urban environments. The system that accomplishes this, known as BioWatch, is a robust first-generation monitoring system. In conjunction with the BioWatch detection network, DHS has also developed a software tool for cities to use to assist in their response when a bioagent is detected. This tool, the Biological Warning and Incident Characterization (BWIC) System, will eventually be deployed to all BioWatch cities to aid in the interpretation of the public health significance of indicators from the BioWatch networks. BWIC consists of a set of integrated modules, including meteorological models, that estimate the effect of a biological agent on a city’s population once it has been detected. For the meteorological models in BWIC to successfully calculate the distribution of biological material, they must have as input accurate meteorological data, and wind fields in particular. The purpose of this document is to provide guidance for cities to use in identifying sources of good-quality local meteorological data that BWIC needs to function properly. This process of finding sources of local meteorological data, evaluating the data quality and gaps in coverage, and getting the data into BWIC, referred to as meteorological integration, is described. The good news for many cities is that meteorological measurement networks are becoming increasingly common. Most of these networks allow their data to be distributed in real time via the internet. Thus, cities will often only need to evaluate the quality of available measurements and perhaps add a modest number of stations where coverage is poor.

  15. A data fusion approach to indications and warnings of terrorist attacks

    Science.gov (United States)

    McDaniel, David; Schaefer, Gregory

    2014-05-01

    Indications and Warning (I&W) of terrorist attacks, particularly IED attacks, require detection of networks of agents and patterns of behavior. Social Network Analysis tries to detect a network; activity analysis tries to detect anomalous activities. This work builds on both to detect elements of an activity model of terrorist attack activity - the agents, resources, networks, and behaviors. The activity model is expressed as RDF triples statements where the tuple positions are elements or subsets of a formal ontology for activity models. The advantage of a model is that elements are interdependent and evidence for or against one will influence others so that there is a multiplier effect. The advantage of the formality is that detection could occur hierarchically, that is, at different levels of abstraction. The model matching is expressed as a likelihood ratio between input text and the model triples. The likelihood ratio is designed to be analogous to track correlation likelihood ratios common in JDL fusion level 1. This required development of a semantic distance metric for positive and null hypotheses as well as for complex objects. The metric uses the Web 1Terabype database of one to five gram frequencies for priors. This size requires the use of big data technologies so a Hadoop cluster is used in conjunction with OpenNLP natural language and Mahout clustering software. Distributed data fusion Map Reduce jobs distribute parts of the data fusion problem to the Hadoop nodes. For the purposes of this initial testing, open source models and text inputs of similar complexity to terrorist events were used as surrogates for the intended counter-terrorist application.

  16. Design and evaluation of multimedia security warnings for the interaction between humans and industrial robots

    Science.gov (United States)

    Fruth, Jana; Kraetzer, Christian; Dittmann, Jana

    2011-01-01

    In this document a multi-media security warning design approach for automated production scenarios with industrial robots is introduced. This first approach is based on and adapts design principles of common security programs and a German VDI standard for safety warnings design. We focus on direct human-to-robot interaction scenarios, e.g. the online-programming of industrial robots, because of their potential indirect safety impacts, which could be caused by malicious codes infection of a robots control computer. We designed ten different multi-media security warnings, composed of visual and acoustical information. Visual information of warnings is transported via a traffic light metaphor (symbolizing three different threat levels), different warn icons (symbolizing properties of malicious codes) and instructions icons to programmers or operators and additional textual information. With an acknowledgment button in the middle of the warning, the programmer's confirmation of the reception of the warning is verified. Additionally, three different acoustical signals also indicate the threat level of the warning. Furthermore, an evaluation is presented, which uses concepts known from usability testing (method of loud thinking, questionnaire, time measurement). The aim is to evaluate general design criteria of our developed security warnings and tendency of user perception for further advancement of our warnings design.

  17. Cough once for danger: icons versus abstract warnings as informative alerts in civil aviation.

    Science.gov (United States)

    Perry, Nathan C; Stevens, Catherine J; Wiggins, Mark W; Howell, Clare E

    2007-12-01

    An experiment investigated the efficacy of auditory icons as warning signals in an aviation context. Iconic signals, such as a cough to signal dangerous levels of carbon monoxide, convey information about the nature of an incident and alert the operator that there is a problem, whereas signals that are arbitrarily associated with a critical incident provide relatively less information. Warning recognition speed and accuracy are likely to be influenced by modality of presentation (visual, auditory, auditory + visual) and task demand (low, high). The 172 participants completed a computer-based training session and test task that involved responding to abstract or iconic auditory (1 s), visual, or auditory + visual warnings associated with seven critical incidents while performing low- and high-demand concurrent tasks. Significantly fewer training trials were required to learn iconic warnings than abstract warnings. An advantage for iconic warnings persisted into the test phase, evident most consistently as greater warning recognition accuracy. The effect was observed in both high- and low-demand conditions. Auditory abstract warnings, in particular, elicited slow reaction times and poor accuracy. Associations between a small number of meaningful environmental sounds and critical incidents can be learned with ease relative to more abstract associations, although training is required and response times are relatively slow. Sets of distinctive auditory iconic warnings can be designed to alert and inform pilots about non-time-pressured events. Potential applications of language-neutral icons as informative warnings include civil, commercial, and defense aircraft.

  18. Evaluation of the National Weather Service Extreme Cold Warning Experiment in North Dakota.

    Science.gov (United States)

    Chiu, Cindy H; Vagi, Sara J; Wolkin, Amy F; Martin, John Paul; Noe, Rebecca S

    2014-01-01

    Dangerously cold weather threatens life and property. During periods of extreme cold due to wind chill, the National Weather Service (NWS) issues wind chill warnings to prompt the public to take action to mitigate risks. Wind chill warnings are based on ambient temperatures and wind speeds. Since 2010, NWS has piloted a new extreme cold warning issued for cold temperatures in wind and nonwind conditions. The North Dakota Department of Health, NWS, and the Centers for Disease Control and Prevention collaborated in conducting household surveys in Burleigh County, North Dakota, to evaluate this new warning. The objectives of the evaluation were to assess whether residents heard the new warning and to determine if protective behaviors were prompted by the warning. This was a cross-sectional survey design using the Community Assessment for Public Health Emergency Response (CASPER) methodology to select a statistically representative sample of households from Burleigh County. From 10 to 11 April 2012, 188 door-to-door household interviews were completed. The CASPER methodology uses probability sampling with weighted analysis to estimate the number and percentage of households with a specific response within Burleigh County. The majority of households reported having heard both the extreme cold and wind chill warnings, and both warnings prompted protective behaviors. These results suggest this community heard the new warning and took protective actions after hearing the warning.

  19. The Accelerometric Networks in Istanbul

    Science.gov (United States)

    Zulfikar, Can; Alcik, Hakan; Mert, Aydin; Tahtasizoglu, Bahar; Kafadar, Nafiz; Korkmaz, Ahmet; Ozel, Oguz; Erdik, Mustafa

    2010-05-01

    In recent years several strong motion networks have been established in Istanbul with a preparation purpose for future probable earthquake. This study addresses the introduction of current seismic networks and presentation of some recent results recorded in these networks. Istanbul Earthquake Early Warning System Istanbul Earthquake Early Warning System has ten strong motion stations which were installed as close as possible to Marmara Sea main fault zone. Continuous on-line data from these stations via digital radio modem provide early warning for potentially disastrous earthquakes. Considering the complexity of fault rupture and the short fault distances involved, a simple and robust Early Warning algorithm, based on the exceedance of specified threshold time domain amplitude levels is implemented. The current algorithm compares the band-pass filtered accelerations and the cumulative absolute velocity (CAV) with specified threshold levels. The bracketed CAV window values that will be put into practice are accepted as to be 0.20, 0.40 and 0.70 m/s for three alarm levels, respectively. Istanbul Earthquake Rapid Response System Istanbul Earthquake Rapid Response System has one hundred 18 bit-resolution strong motion accelerometers which were placed in quasi-free field locations (basement of small buildings) in the populated areas of the city, within an area of approximately 50x30km, to constitute a network that will enable early damage assessment and rapid response information after a damaging earthquake. Early response information is achieved through fast acquisition and analysis of processed data obtained from the network. The stations are routinely interrogated on regular basis by the main data center. After triggered by an earthquake, each station processes the streaming strong motion data to yield the spectral accelerations at specific periods and sends these parameters in the form of SMS messages at every 20s directly to the main data center through a

  20. Earthquake Early Warning in Japan - Result of recent two years -

    Science.gov (United States)

    Shimoyama, T.; Doi, K.; Kiyomoto, M.; Hoshiba, M.

    2009-12-01

    Japan Meteorological Agency(JMA) started to provide Earthquake Early Warning(EEW) to the general public in October 2007. It was followed by provision of EEW to a limited number of users who understand the technical limit of EEW and can utilize it for automatic control from August 2006. Earthquake Early Warning in Japan definitely means information of estimated amplitude and arrival time of a strong ground motion after fault rupture occurred. In other words, the EEW provided by JMA is defined as a forecast of a strong ground motion before the strong motion arrival. EEW of JMA is to enable advance countermeasures to disasters caused by strong ground motions with providing a warning message of anticipating strong ground motion before the S wave arrival. However, due to its very short available time period, there should need some measures and ideas to provide rapidly EEW and utilize it properly. - EEW is issued to general public when the maximum seismic intensity 5 lower (JMA scale) or greater is expected. - EEW message contains origin time, epicentral region name, and names of areas (unit is about 1/3 to 1/4 of one prefecture) where seismic intensity 4 or greater is expected. Expected arrival time is not included because it differs substantially even in one unit area. - EEW is to be broadcast through the broadcasting media(TV, radio and City Administrative Disaster Management Radio), and is delivered to cellular phones through cell broadcast system. For those who would like to know the more precise estimation and smaller earthquake information at their point of their properties, JMA allows designated private companies to provide forecast of strong ground motion, in which the estimation of a seismic intensity as well as arrival time of S-wave are contained, at arbitrary places under the JMA’s technical assurance. From October, 2007 to August, 2009, JMA issued 11 warnings to general public expecting seismic intensity “5 lower” or greater, including M=7.2 inland