Dyadic Vulnerability and Risk Profiling for Elder Neglect

Science.gov (United States)

Fulmer, Terry; Paveza, Gregory; VandeWeerd, Carla; Fairchild, Susan; Guadagno, Lisa; Bolton-Blatt, Marguarette; Norman, Robert

2005-01-01

Purpose: Neglect of older adults accounts for 60% to 70% of all elder-mistreatment reports made to adult protective services. The purpose of this article is to report data from research, using a risk-and-vulnerability model, that captures the independent contributions of both the elder and the caregiver as they relate to the outcome of neglect.…

Extreme seismicity and disaster risks: Hazard versus vulnerability (Invited)

Science.gov (United States)

Ismail-Zadeh, A.

2013-12-01

Although the extreme nature of earthquakes has been known for millennia due to the resultant devastation from many of them, the vulnerability of our civilization to extreme seismic events is still growing. It is partly because of the increase in the number of high-risk objects and clustering of populations and infrastructure in the areas prone to seismic hazards. Today an earthquake may affect several hundreds thousand lives and cause significant damage up to hundred billion dollars; it can trigger an ecological catastrophe if occurs in close vicinity to a nuclear power plant. Two types of extreme natural events can be distinguished: (i) large magnitude low probability events, and (ii) the events leading to disasters. Although the first-type events may affect earthquake-prone countries directly or indirectly (as tsunamis, landslides etc.), the second-type events occur mainly in economically less-developed countries where the vulnerability is high and the resilience is low. Although earthquake hazards cannot be reduced, vulnerability to extreme events can be diminished by monitoring human systems and by relevant laws preventing an increase in vulnerability. Significant new knowledge should be gained on extreme seismicity through observations, monitoring, analysis, modeling, comprehensive hazard assessment, prediction, and interpretations to assist in disaster risk analysis. The advanced disaster risk communication skill should be developed to link scientists, emergency management authorities, and the public. Natural, social, economic, and political reasons leading to disasters due to earthquakes will be discussed.

An integrated risk and vulnerability assessment framework for climate change and malaria transmission in East Africa.

Science.gov (United States)

Onyango, Esther Achieng; Sahin, Oz; Awiti, Alex; Chu, Cordia; Mackey, Brendan

2016-11-11

Malaria is one of the key research concerns in climate change-health relationships. Numerous risk assessments and modelling studies provide evidence that the transmission range of malaria will expand with rising temperatures, adversely impacting on vulnerable communities in the East African highlands. While there exist multiple lines of evidence for the influence of climate change on malaria transmission, there is insufficient understanding of the complex and interdependent factors that determine the risk and vulnerability of human populations at the community level. Moreover, existing studies have had limited focus on the nature of the impacts on vulnerable communities or how well they are prepared to cope. In order to address these gaps, a systems approach was used to present an integrated risk and vulnerability assessment framework for studies of community level risk and vulnerability to malaria due to climate change. Drawing upon published literature on existing frameworks, a systems approach was applied to characterize the factors influencing the interactions between climate change and malaria transmission. This involved structural analysis to determine influential, relay, dependent and autonomous variables in order to construct a detailed causal loop conceptual model that illustrates the relationships among key variables. An integrated assessment framework that considers indicators of both biophysical and social vulnerability was proposed based on the conceptual model. A major conclusion was that this integrated assessment framework can be implemented using Bayesian Belief Networks, and applied at a community level using both quantitative and qualitative methods with stakeholder engagement. The approach enables a robust assessment of community level risk and vulnerability to malaria, along with contextually relevant and targeted adaptation strategies for dealing with malaria transmission that incorporate both scientific and community perspectives.

Aircraft vulnerability analysis by modeling and simulation

Science.gov (United States)

Willers, Cornelius J.; Willers, Maria S.; de Waal, Alta

2014-10-01

Infrared missiles pose a significant threat to civilian and military aviation. ManPADS missiles are especially dangerous in the hands of rogue and undisciplined forces. Yet, not all the launched missiles hit their targets; the miss being either attributable to misuse of the weapon or to missile performance restrictions. This paper analyses some of the factors affecting aircraft vulnerability and demonstrates a structured analysis of the risk and aircraft vulnerability problem. The aircraft-missile engagement is a complex series of events, many of which are only partially understood. Aircraft and missile designers focus on the optimal design and performance of their respective systems, often testing only in a limited set of scenarios. Most missiles react to the contrast intensity, but the variability of the background is rarely considered. Finally, the vulnerability of the aircraft depends jointly on the missile's performance and the doctrine governing the missile's launch. These factors are considered in a holistic investigation. The view direction, altitude, time of day, sun position, latitude/longitude and terrain determine the background against which the aircraft is observed. Especially high gradients in sky radiance occur around the sun and on the horizon. This paper considers uncluttered background scenes (uniform terrain and clear sky) and presents examples of background radiance at all view angles across a sphere around the sensor. A detailed geometrical and spatially distributed radiometric model is used to model the aircraft. This model provides the signature at all possible view angles across the sphere around the aircraft. The signature is determined in absolute terms (no background) and in contrast terms (with background). It is shown that the background significantly affects the contrast signature as observed by the missile sensor. A simplified missile model is constructed by defining the thrust and mass profiles, maximum seeker tracking rate, maximum

VULNERABILITY AND RISK OF CONTAMINATION KARSTIC AQUIFERS

Directory of Open Access Journals (Sweden)

Yameli Aguilar

2013-08-01

Full Text Available Karstic systems occupy nearly 20% of the surface of the earth and are inhabited by numerous human communities. Karstic aquifers are the most exposed to pollution from human activities. Pollution of karstic aquifers is a severe environmental problem worldwide.  In order to face the vulnerability of karstic aquifers to pollution, researchers have created a diversity of study approaches and models, each one having their own strengths and weaknesses depending on the discipline from which they were originated, thus requiring a thorough discussion within the required multidisciplinary character. The objective of this article was to analyze the theoretical and methodological approaches applied to the pollution of karstic aquifers. The European hydrogeological, land evaluation, hydropedological and a geographic approach were analyzed. The relevance of a geomorphological analysis as a cartographic basis for the analysis of vulnerability and risks were emphasized. From the analysis of models, approaches and methodologies discussed the following recommendation is made: to form an interdisciplinary work team, to elaborate a conceptual model according to the site and the working scale and to e, apply and validate the model.

Assessing node risk and vulnerability in epidemics on networks

Science.gov (United States)

Rogers, T.

2015-01-01

Which nodes are most vulnerable to an epidemic spreading through a network, and which carry the highest risk of causing a major outbreak if they are the source of the infection? Here we show how these questions can be answered to good approximation using the cavity method. Several curious properties of node vulnerability and risk are explored: some nodes are more vulnerable than others to weaker infections, yet less vulnerable to stronger ones; a node is always more likely to be caught in an outbreak than it is to start one, except when the disease has a deterministic lifetime; the rank order of node risk depends on the details of the distribution of infectious periods.

Urban settlements' vulnerability to flood risks in African cities: A conceptual framework

Directory of Open Access Journals (Sweden)

Rafiu O. Salami

2017-02-01

Full Text Available In the recent past, the frequency and gravity of large-scale flood disasters have increased globally, resulting in casualties, destruction of property and huge economic loss. The destructive flood disaster devastating Louisiana, USA, is a recent example. Despite the availability of advanced technological capabilities for dealing with floods in developed nations, flood disasters continue to become more rampant and disastrous. Developing countries in Africa such as Benin, Ghana, Nigeria, Senegal and Sudan have recently experienced severe flooding, leaving a considerable number of human casualties and thousands displaced. In African cities, most vulnerable urban residents usually have lesser capacity and fewer resources to recover from the shocks of disaster as a result of the failure of governments to build human security for poor African residents. Many scholars have acknowledged the lack of appropriate vulnerability assessment frameworks and policies, questioning the efficiency and effectiveness of the tested models in Africa. The ability to accurately identify, measure and evaluate the various vulnerabilities of affected people and communities is a right step towards reducing disaster risk. This article aimed at developing a framework for assessing urban settlements’ vulnerability to flood risks in Africa. The framework is currently being tested to assess various dimensions of vulnerability drivers in three urban communities in Ibadan metropolis, the third largest city in Nigeria, focusing more on flood risk perceptions and behaviour of the risk bearers. It uses participatory and mixed method approaches to socially construct vulnerability of populations at risk. This model emanates from the evaluation of considerable relevant literature and an array of vulnerability assessment frameworks. It integrates some approaches that are applicable to African cities in a bid to create a versatile tool to assess, identify and mitigate the effects of

Regional probabilistic nuclear risk and vulnerability assessment by integration of mathematical modelling land GIS-analysis

International Nuclear Information System (INIS)

Rigina, O.; Baklanov, A.

2002-01-01

The Kola Peninsula, Russian Arctic exceeds all other regions in the world in the number of nuclear reactors. The study was aimed at estimating possible radiation risks to the population in the Nordic countries in case of a severe accident in the Kola Peninsula. A new approach based on probabilistic analysis of modelled possible pathways of radionuclide transport and precipitation was developed. For the general population, Finland is at most risk with respect to the Kola NPP, because of: high population density or proximity to the radiation-risk sites and relatively high probability of an airflow trajectory there, and precipitation. After considering the critical group, northern counties in Norway, Finland and Sweden appear to be most vulnerable. (au)

Managing Risk, Reducing Vulnerability and Enhancing Productivity ...

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

Managing Risk, Reducing Vulnerability and Enhancing Productivity under a Changing Climate. The countries of the Greater Horn of Africa are particularly vulnerable to drought, exacerbated by widespread poverty and dependence on rainfed agriculture. Even with normal rainfall, the region does not produce enough food to ...

Groundwater vulnerability assessment for the Banyas Catchment of the Syrian coastal area using GIS and the RISKE method.

Science.gov (United States)

Kattaa, Bassam; Al-Fares, Walid; Al Charideh, Abdul Rahman

2010-05-01

Vulnerability assessment to delineate areas that are more susceptible to contamination from anthropogenic sources has become an important element for sensible resource management and landuse planning. This contribution aims at estimating aquifer vulnerability by applying the RISKE model in Banyas Catchment Area (BCA), Tartous Prefecture, west Syria. An additional objective is to demonstrate the combined use of the RISKE model and a geographical information system (GIS) as an effective method for groundwater pollution risk assessment. The RISKE model uses five environmental parameters (Rock of aquifer media, Infiltration, Soil media, Karst, and Epikarst) to characterize the hydro-geological setting and evaluate aquifer vulnerability. The elevated eastern and low western part of the study area was dominated by high vulnerability classes, while the middle part was characterized by moderate vulnerability classes. Based on the vulnerability analysis, it was found that 2% and 39% of BCA is under low and high vulnerability to groundwater contamination, respectively, while more than 52% and 5% of the area of BCA can be designated as an area of moderate and very high vulnerability to groundwater contamination, respectively. The GIS technique has provided an efficient environment for analyses and high capabilities of handling a large amount of spatial data. Copyright 2009 Elsevier Ltd. All rights reserved.

Potential of 3D City Models to assess flood vulnerability

Science.gov (United States)

Schröter, Kai; Bochow, Mathias; Schüttig, Martin; Nagel, Claus; Ross, Lutz; Kreibich, Heidi

2016-04-01

Vulnerability, as the product of exposure and susceptibility, is a key factor of the flood risk equation. Furthermore, the estimation of flood loss is very sensitive to the choice of the vulnerability model. Still, in contrast to elaborate hazard simulations, vulnerability is often considered in a simplified manner concerning the spatial resolution and geo-location of exposed objects as well as the susceptibility of these objects at risk. Usually, area specific potential flood loss is quantified on the level of aggregated land-use classes, and both hazard intensity and resistance characteristics of affected objects are represented in highly simplified terms. We investigate the potential of 3D City Models and spatial features derived from remote sensing data to improve the differentiation of vulnerability in flood risk assessment. 3D City Models are based on CityGML, an application scheme of the Geography Markup Language (GML), which represents the 3D geometry, 3D topology, semantics and appearance of objects on different levels of detail. As such, 3D City Models offer detailed spatial information which is useful to describe the exposure and to characterize the susceptibility of residential buildings at risk. This information is further consolidated with spatial features of the building stock derived from remote sensing data. Using this database a spatially detailed flood vulnerability model is developed by means of data-mining. Empirical flood damage data are used to derive and to validate flood susceptibility models for individual objects. We present first results from a prototype application in the city of Dresden, Germany. The vulnerability modeling based on 3D City Models and remote sensing data is compared i) to the generally accepted good engineering practice based on area specific loss potential and ii) to a highly detailed representation of flood vulnerability based on a building typology using urban structure types. Comparisons are drawn in terms of

7 CFR 1730.27 - Vulnerability and Risk Assessment (VRA).

Science.gov (United States)

2010-01-01

... 7 Agriculture 11 2010-01-01 2010-01-01 false Vulnerability and Risk Assessment (VRA). 1730.27 Section 1730.27 Agriculture Regulations of the Department of Agriculture (Continued) RURAL UTILITIES... Requirements § 1730.27 Vulnerability and Risk Assessment (VRA). (a) Each borrower with an approved RUS electric...

Childhood adversity, parental vulnerability and disorder: examining inter-generational transmission of risk.

Science.gov (United States)

Bifulco, A; Moran, P M; Ball, C; Jacobs, C; Baines, R; Bunn, A; Cavagin, J

2002-11-01

An investigation of intergenerational factors associated with psychiatric disorder in late adolescence/early adulthood was undertaken to differentiate influences from maternal disorder, maternal poor psychosocial functioning and poor parenting, on offspring. The sample comprised an intensively studied series of 276 mother-offspring pairs in a relatively deprived inner-city London area with high rates of lone parenthood and socio-economic disadvantage. The paired sample was collected over two time periods: first a consecutively screened series of mothers and offspring in 1985-90 (n = 172 pairs) and second a 'vulnerable' series of mothers and offspring in 1995-99 (n = 104 pairs). The vulnerable mothers were selected for poor interpersonal functioning and/or low self-esteem and the consecutive series were used for comparison. Rates of childhood adversity and disorder in the offspring were examined in the two groups. Maternal characteristics including psychosocial vulnerability and depression were then examined in relation to risk transmission. Offspring of vulnerable mothers had a fourfold higher rate of yearly disorder than those in the comparison series (43% vs. 11%, p maternal vulnerability and neglect/abuse of offspring provided the best model for offspring disorder. Maternal history of depression had no direct effect on offspring disorder; its effects were entirely mediated by offspring neglect/abuse. Maternal childhood adversity also had no direct effect. Results are discussed in relation to psychosocial models of risk transmission for disorder. Maternal poor psychosocial functioning needs to be identified as a factor requiring intervention in order to stem escalation of risk across generations.

Underground Economics for Vulnerability Risk

NARCIS (Netherlands)

Allodi, L.

The estimation of vulnerability risk is at the core of any IT security management strategy. Among technical and infrastructural metrics of risk, attacker economics represent an emerging new aspect that several risk assessment methodologies propose to consider (e.g., based on game theory). Yet the

RISK, VULNERABILITY AND ADAPTATION TO CLIMATE CHANGE: AN INTERDISCIPLINARY APPROACH

OpenAIRE

Iwama,Allan Yu; Batistella,Mateus; Ferreira,Lúcia da Costa; Alves,Diogenes Salas; Ferreira,Leila da Costa

2016-01-01

Abstract This study addresses risk, vulnerability, and their implications for the adaptation of communities to the problems they face in the everyday life and to those derived from climate change. Based on the literature about risk, vulnerability and adaptation to disasters and on a case study conducted in the Northern coast of São Paulo - Brazil, we summarize the converging themes in the analysis of vulnerability and adaptation to climate change, which are divided in three components: (i) in...

Assessing frost damages using dynamic models in walnut trees: exposure rather than vulnerability controls frost risks.

Science.gov (United States)

Guillaume, Charrier; Isabelle, Chuine; Marc, Bonhomme; Thierry, Améglio

2018-05-01

Frost damages develop when exposure overtakes frost vulnerability. Frost risk assessment therefore needs dynamic simulation of frost hardiness using temperature and photoperiod in interaction with developmental stage. Two models, including or not the effect of photoperiod, were calibrated using five years of frost hardiness monitoring (2007-2012), in two locations (low and high elevation) for three walnut genotypes with contrasted phenology and maximum hardiness (Juglans regia cv Franquette, J. regia × nigra 'Early' and 'Late'). The photothermal model predicted more accurate values for all genotypes (efficiency = 0.879; Root Mean Standard Error Predicted (RMSEP) = 2.55 °C) than the thermal model (efficiency = 0.801; RMSEP = 3.24 °C). Predicted frost damages were strongly correlated to minimum temperature of the freezing events (ρ = -0.983) rather than actual frost hardiness (ρ = -0.515), or ratio of phenological stage completion (ρ = 0.336). Higher frost risks are consequently predicted during winter, at high elevation, whereas spring is only risky at low elevation in early genotypes exhibiting faster dehardening rate. However, early frost damages, although of lower value, may negatively affect fruit production the subsequent year (R 2  = 0.381, P = 0.057). These results highlight the interacting pattern between frost exposure and vulnerability at different scales and the necessity of intra-organ studies to understand the time course of frost vulnerability in flower buds along the winter. © 2017 John Wiley & Sons Ltd.

A Bayesian method to mine spatial data sets to evaluate the vulnerability of human beings to catastrophic risk.

Science.gov (United States)

Li, Lianfa; Wang, Jinfeng; Leung, Hareton; Zhao, Sisi

2012-06-01

Vulnerability of human beings exposed to a catastrophic disaster is affected by multiple factors that include hazard intensity, environment, and individual characteristics. The traditional approach to vulnerability assessment, based on the aggregate-area method and unsupervised learning, cannot incorporate spatial information; thus, vulnerability can be only roughly assessed. In this article, we propose Bayesian network (BN) and spatial analysis techniques to mine spatial data sets to evaluate the vulnerability of human beings. In our approach, spatial analysis is leveraged to preprocess the data; for example, kernel density analysis (KDA) and accumulative road cost surface modeling (ARCSM) are employed to quantify the influence of geofeatures on vulnerability and relate such influence to spatial distance. The knowledge- and data-based BN provides a consistent platform to integrate a variety of factors, including those extracted by KDA and ARCSM to model vulnerability uncertainty. We also consider the model's uncertainty and use the Bayesian model average and Occam's Window to average the multiple models obtained by our approach to robust prediction of the risk and vulnerability. We compare our approach with other probabilistic models in the case study of seismic risk and conclude that our approach is a good means to mining spatial data sets for evaluating vulnerability. © 2012 Society for Risk Analysis.

Recognizing Risk and Vulnerability in Research Ethics: Imagining the "What Ifs?"

Science.gov (United States)

Peter, Elizabeth; Friedland, Judith

2017-04-01

Research ethics committees (RECs) may misunderstand the vulnerability of participants, given their distance from the field. What RECs identify as the vulnerabilities that were not adequately recognized in protocols and how they attempt to protect the perceived vulnerability of participants and mitigate risks were examined using the response letters sent to researchers by three university-based RECs. Using a critical qualitative method informed by feminist ethics, we identified an overarching theme of recognizing and responding to cascading vulnerabilities and four subthemes: identifying vulnerable groups, recognizing potentially risky research, imagining the "what ifs," and mitigating perceived risks. An ethics approach that is up-close, as opposed to distant, is needed to foster closer relationships among participants, researchers, and RECs and to understand participant vulnerability and strength better.

Vulnerability and risk of deltaic social-ecological systems exposed to multiple hazards.

Science.gov (United States)

Hagenlocher, Michael; Renaud, Fabrice G; Haas, Susanne; Sebesvari, Zita

2018-08-01

Coastal river deltas are hotspots of global change impacts. Sustainable delta futures are increasingly threatened due to rising hazard exposure combined with high vulnerabilities of deltaic social-ecological systems. While the need for integrated multi-hazard approaches has been clearly articulated, studies on vulnerability and risk in deltas either focus on local case studies or single hazards and do not apply a social-ecological systems perspective. As a result, vulnerabilities and risks in areas with strong social and ecological coupling, such as coastal deltas, are not fully understood and the identification of risk reduction and adaptation strategies are often based on incomplete assumptions. To overcome these limitations, we propose an innovative modular indicator library-based approach for the assessment of multi-hazard risk of social-ecological systems across and within coastal deltas globally, and apply it to the Amazon, Ganges-Brahmaputra-Meghna (GBM), and Mekong deltas. Results show that multi-hazard risk is highest in the GBM delta and lowest in the Amazon delta. The analysis reveals major differences between social and environmental vulnerability across the three deltas, notably in the Mekong and the GBM deltas where environmental vulnerability is significantly higher than social vulnerability. Hotspots and drivers of risk vary spatially, thus calling for spatially targeted risk reduction and adaptation strategies within the deltas. Ecosystems have been identified as both an important element at risk as well as an entry point for risk reduction and adaptation strategies. Copyright © 2018. Published by Elsevier B.V.

Aircraft vulnerability analysis by modelling and simulation

CSIR Research Space (South Africa)

Willers, CJ

2014-09-01

Full Text Available attributable to misuse of the weapon or to missile performance restrictions. This paper analyses some of the factors affecting aircraft vulnerability and demonstrates a structured analysis of the risk and aircraft vulnerability problem. The aircraft...

Uncertainty analysis in vulnerability estimations for elements at risk- a review of concepts and some examples on landslides

Science.gov (United States)

Ciurean, R. L.; Glade, T.

2012-04-01

Decision under uncertainty is a constant of everyday life and an important component of risk management and governance. Recently, experts have emphasized the importance of quantifying uncertainty in all phases of landslide risk analysis. Due to its multi-dimensional and dynamic nature, (physical) vulnerability is inherently complex and the "degree of loss" estimates imprecise and to some extent even subjective. Uncertainty analysis introduces quantitative modeling approaches that allow for a more explicitly objective output, improving the risk management process as well as enhancing communication between various stakeholders for better risk governance. This study presents a review of concepts for uncertainty analysis in vulnerability of elements at risk to landslides. Different semi-quantitative and quantitative methods are compared based on their feasibility in real-world situations, hazard dependency, process stage in vulnerability assessment (i.e. input data, model, output), and applicability within an integrated landslide hazard and risk framework. The resulted observations will help to identify current gaps and future needs in vulnerability assessment, including estimation of uncertainty propagation, transferability of the methods, development of visualization tools, but also address basic questions like what is uncertainty and how uncertainty can be quantified or treated in a reliable and reproducible way.

Estimating drought risk across Europe from reported drought impacts, drought indices, and vulnerability factors

Science.gov (United States)

Blauhut, Veit; Stahl, Kerstin; Stagge, James Howard; Tallaksen, Lena M.; De Stefano, Lucia; Vogt, Jürgen

2016-07-01

Drought is one of the most costly natural hazards in Europe. Due to its complexity, drought risk, meant as the combination of the natural hazard and societal vulnerability, is difficult to define and challenging to detect and predict, as the impacts of drought are very diverse, covering the breadth of socioeconomic and environmental systems. Pan-European maps of drought risk could inform the elaboration of guidelines and policies to address its documented severity and impact across borders. This work tests the capability of commonly applied drought indices and vulnerability factors to predict annual drought impact occurrence for different sectors and macro regions in Europe and combines information on past drought impacts, drought indices, and vulnerability factors into estimates of drought risk at the pan-European scale. This hybrid approach bridges the gap between traditional vulnerability assessment and probabilistic impact prediction in a statistical modelling framework. Multivariable logistic regression was applied to predict the likelihood of impact occurrence on an annual basis for particular impact categories and European macro regions. The results indicate sector- and macro-region-specific sensitivities of drought indices, with the Standardized Precipitation Evapotranspiration Index (SPEI) for a 12-month accumulation period as the overall best hazard predictor. Vulnerability factors have only limited ability to predict drought impacts as single predictors, with information about land use and water resources being the best vulnerability-based predictors. The application of the hybrid approach revealed strong regional and sector-specific differences in drought risk across Europe. The majority of the best predictor combinations rely on a combination of SPEI for shorter and longer accumulation periods, and a combination of information on land use and water resources. The added value of integrating regional vulnerability information with drought risk prediction

Estimating drought risk across Europe from reported drought impacts, hazard indicators and vulnerability factors

Science.gov (United States)

Blauhut, V.; Stahl, K.; Stagge, J. H.; Tallaksen, L. M.; De Stefano, L.; Vogt, J.

2015-12-01

Drought is one of the most costly natural hazards in Europe. Due to its complexity, drought risk, the combination of the natural hazard and societal vulnerability, is difficult to define and challenging to detect and predict, as the impacts of drought are very diverse, covering the breadth of socioeconomic and environmental systems. Pan-European maps of drought risk could inform the elaboration of guidelines and policies to address its documented severity and impact across borders. This work (1) tests the capability of commonly applied hazard indicators and vulnerability factors to predict annual drought impact occurrence for different sectors and macro regions in Europe and (2) combines information on past drought impacts, drought hazard indicators, and vulnerability factors into estimates of drought risk at the pan-European scale. This "hybrid approach" bridges the gap between traditional vulnerability assessment and probabilistic impact forecast in a statistical modelling framework. Multivariable logistic regression was applied to predict the likelihood of impact occurrence on an annual basis for particular impact categories and European macro regions. The results indicate sector- and macro region specific sensitivities of hazard indicators, with the Standardised Precipitation Evapotranspiration Index for a twelve month aggregation period (SPEI-12) as the overall best hazard predictor. Vulnerability factors have only limited ability to predict drought impacts as single predictor, with information about landuse and water resources as best vulnerability-based predictors. (3) The application of the "hybrid approach" revealed strong regional (NUTS combo level) and sector specific differences in drought risk across Europe. The majority of best predictor combinations rely on a combination of SPEI for shorter and longer aggregation periods, and a combination of information on landuse and water resources. The added value of integrating regional vulnerability information

Social vulnerability assessment using spatial multi-criteria analysis (SEVI model) and the Social Vulnerability Index (SoVI model) - a case study for Bucharest, Romania

Science.gov (United States)

Armaş, I.; Gavriş, A.

2013-06-01

In recent decades, the development of vulnerability frameworks has enlarged the research in the natural hazards field. Despite progress in developing the vulnerability studies, there is more to investigate regarding the quantitative approach and clarification of the conceptual explanation of the social component. At the same time, some disaster-prone areas register limited attention. Among these, Romania's capital city, Bucharest, is the most earthquake-prone capital in Europe and the tenth in the world. The location is used to assess two multi-criteria methods for aggregating complex indicators: the social vulnerability index (SoVI model) and the spatial multi-criteria social vulnerability index (SEVI model). Using the data of the 2002 census we reduce the indicators through a factor analytical approach to create the indices and examine if they bear any resemblance to the known vulnerability of Bucharest city through an exploratory spatial data analysis (ESDA). This is a critical issue that may provide better understanding of the social vulnerability in the city and appropriate information for authorities and stakeholders to consider in their decision making. The study emphasizes that social vulnerability is an urban process that increased in a post-communist Bucharest, raising the concern that the population at risk lacks the capacity to cope with disasters. The assessment of the indices indicates a significant and similar clustering pattern of the census administrative units, with an overlap between the clustering areas affected by high social vulnerability. Our proposed SEVI model suggests adjustment sensitivity, useful in the expert-opinion accuracy.

Modelling farm vulnerability to flooding: A step toward vulnerability mitigation policies appraisal

Science.gov (United States)

Brémond, P.; Abrami, G.; Blanc, C.; Grelot, F.

2009-04-01

Recent catastrophic flood events such as Elbe in 2002 or Rhône in 2003 have shown limits of flood management policies relying on dykes protection: worsening of flood impacts downstream, increased damage by dykes rupture. Those events, among others, contributes to radical changes on the philosophy of flood prevention, with the promotion of new orientations for mitigating flood exposition. Two new trends may have a significant impact on rural areas: floodplain restoration and vulnerability mitigation. The Rhône River program, which is an contract of objectives signed between French Government and local collectivites, is highly illustrative of these new trends and their impact on agricultural sector. In this program, it appears that areas to be concerned by floodplain restoration are agricultural ones, because their supposed vulnerability to flood is expected to be less important to urban areas. As a consequence, agricultural sector is particularly concerned by planned actions on mitigation of assets vulnerability, an important part of the program (financial support of European Union of 7.5 Million euros). Mitigation of agricultural assets vulnerability reveals particularly interesting for two following reasons. Firstly, it is a way to maintain agricultural activities in floodplains yet existing, without promoting flood protection. Secondly, in case of floodplain restoration, vulnerability mitigation is a way for local authorities to compensate over-flooding impacts. In practice, local authorities may financially support farmers for implementing measures to mitigate their farm vulnerability. On the Rhône River, an important work has already been done to identify farm vulnerability to flooding, and propose measures to mitigate it. More than 3 000 farms exposed to flood risk have been identified representing 88 690 ha of agricultural areas which is estimated to generate damage between 400 and 800 Million euros depending on the season of occurrence for a catastrophic

Vulnerability and risk perception in the management of HIV/AIDS: Public priorities in a global pandemic

Directory of Open Access Journals (Sweden)

Peter Tsasis

2008-11-01

Full Text Available Peter Tsasis1,2, N. Nirupama21School of Health Policy and Management, 2School of Administrative Studies, York University, Toronto, Ontario, CanadaAbstract: Understanding the way perception of risk is shaped and constructed is crucial in understanding why it has been so difficult to mitigate the spread of HIV/AIDS. This paper uses the Pressure and Release (PAR model, used to predict the onset of natural disasters as the conceptual framework. It substitutes vulnerability and risk perception as the trigger factors in the model, in making the case that HIV/AIDS can be characterized as a slow onset disaster. The implications are that vulnerability must be managed and reduced by addressing root causes, dynamic pressures, and unsafe conditions that contribute to the HIV/AIDS pandemic. HIV/AIDS programs must be culturally appropriate and work toward influencing risk perception, while addressing social norms and values that negatively impact vulnerable populations. By impacting cultural and social expectations, individuals will be able to more readily adopt safer sex behaviors. The development of policies and programs addressing the issues in context, as opposed to individual behaviors alone, allows for effective public health intervention. This may have implications for public health measures implemented for combating the spread of HIV/AIDS.Keywords: vulnerability, risk perception, HIV/AIDS, public health intervention

Social vulnerability assessment using spatial multi-criteria analysis (SEVI model and the Social Vulnerability Index (SoVI model – a case study for Bucharest, Romania

Directory of Open Access Journals (Sweden)

I. Armaș

2013-06-01

Full Text Available In recent decades, the development of vulnerability frameworks has enlarged the research in the natural hazards field. Despite progress in developing the vulnerability studies, there is more to investigate regarding the quantitative approach and clarification of the conceptual explanation of the social component. At the same time, some disaster-prone areas register limited attention. Among these, Romania's capital city, Bucharest, is the most earthquake-prone capital in Europe and the tenth in the world. The location is used to assess two multi-criteria methods for aggregating complex indicators: the social vulnerability index (SoVI model and the spatial multi-criteria social vulnerability index (SEVI model. Using the data of the 2002 census we reduce the indicators through a factor analytical approach to create the indices and examine if they bear any resemblance to the known vulnerability of Bucharest city through an exploratory spatial data analysis (ESDA. This is a critical issue that may provide better understanding of the social vulnerability in the city and appropriate information for authorities and stakeholders to consider in their decision making. The study emphasizes that social vulnerability is an urban process that increased in a post-communist Bucharest, raising the concern that the population at risk lacks the capacity to cope with disasters. The assessment of the indices indicates a significant and similar clustering pattern of the census administrative units, with an overlap between the clustering areas affected by high social vulnerability. Our proposed SEVI model suggests adjustment sensitivity, useful in the expert-opinion accuracy.

Assessing flash flood vulnerability using a multi-vulnerability approach

Directory of Open Access Journals (Sweden)

Karagiorgos Konstantinos

2016-01-01

Full Text Available In the framework of flood risk assessment, while the understanding of hazard and exposure has significantly improved over the last years, knowledge on vulnerability remains one of the challenges. Current approaches in vulnerability research are characterised by a division between social scientists and natural scientists. In order to close this gap, we present an approach that combines information on physical and social vulnerability in order to merge information on the susceptibility of elements at risk and society. With respect to physical vulnerability, the study is based on local-scale vulnerability models using nonlinear regression approaches. Modified Weibull distributions were fit to the data in order to represent the relationship between process magnitude and degree of loss. With respect to social vulnerability we conducted a door-to-door survey which resulted in particular insights on flood risk awareness and resilience strategies of exposed communities. In general, both physical and social vulnerability were low in comparison with other European studies, which may result from (a specific building regulations in the four Mediterranean test sites as well as general design principles leading to low structural susceptibility of elements at risk, and (b relatively low social vulnerability of citizens exposed. As a result it is shown that a combination of different perspectives of vulnerability will lead to a better understanding of exposure and capacities in flood risk management.

Vulnerability Risk Index Profile for Elder Abuse in Community-Dwelling Population

Science.gov (United States)

Dong, XinQi; Simon, Melissa A.

2013-01-01

Objectives Elder abuse is associated with increased morbidity and mortality. This study aims to develop a vulnerability index for elder abuse in a community-dwelling population. Design Population-based study Setting Geographically defined community in Chicago. Participants A population-based study was conducted in Chicago of community-dwelling older adults who participated in the Chicago Health and Aging Project (CHAP). Of the 8,157 participants in the CHAP study, 213 participants were reported to social services agency for suspected elder abuse. Measurements A vulnerability index for elder abuse was constructed from sociodemographic, health-related, and psychosocial factors. The outcomes of interest were reported and confirmed elder abuse. Logistic regression models were used to determine the accuracy of the index with respect to elder abuse outcomes. Results Out of the selected risk index for elder abuse, every one point increase in the 9 item vulnerability index items, there was a two fold increase in the risk for reported elder abuse (OR, 2.19 (2.00–2.40) and confirmed elder abuse (OR, 2.19 (1.94–2.47). Compared to the reference group, older adults with 3–4 vulnerability index items had increased risk for reported elder abuse (OR, 2.98 (1.98–4.49) and confirmed elder abuse (OR, 3.90, (2.07–7.36); and older adults with 5 or more risk index items, there was an 18 fold increase in risk for reported elder abuse (OR, 18.46 (12.15–28.04) and confirmed elder abuse (OR, 26.79 (14.18–50.61). Receiver Operating Characteristic (ROC) statistically derived curves for identifying reported elder abuse ranged between 0.77–0.84 and for predicting confirmed elder abuse ranged between 0.79–0.86. Conclusion The vulnerability risk index demonstrates value for identifying individuals at risk for elder abuse. Additional studies are needed to validate this index in other community dwelling populations. PMID:25180376

Reconsidering the risk assessment concept: Standardizing the impact description as a building block for vulnerability assessment

Directory of Open Access Journals (Sweden)

K. Hollenstein

2005-01-01

Full Text Available Risk assessments for natural hazards are becoming more widely used and accepted. Using an extended definition of risk, it becomes obvious that performant procedures for vulnerability assessments are vital for the success of the risk concept. However, there are large gaps in knowledge about vulnerability. To alleviate the situation, a conceptual extension of the scope of existing and new models is suggested. The basis of the suggested concept is a stadardization of the output of hazard assessments. This is achieved by defining states of the target objects that depend on the impact and at the same time affect the object's performance characteristics. The possible state variables can be related to a limited set of impact descriptors termed generic impact description interface. The concept suggests that both hazard and vulnerability assessment models are developed according to the specification of this interface, thus facilitating modularized risk assessments. Potential problems related to the application of the concept include acceptance issues and the lacking accuracy of transformation of outputs of existing models. Potential applications and simple examples for adapting existing models are briefly discussed.

Coastal erosion vulnerability and risk assessment focusing in tourism beach use.

Science.gov (United States)

Alexandrakis, George

2016-04-01

It is well established that the global market for tourism services is a key source of economic growth. Especially among Mediterranean countries, the tourism sector is one of the principal sectors driving national economies. With the majority of the mass tourism activities concentrated around coastal areas, coastal erosion, inter alia, poses a significant threat to coastal economies that depend heavily on revenues from tourism. The economic implications of beach erosion were mainly focused in the cost of coastal protection measures, instead of the revenue losses from tourism. For this, the vulnerability of the coast to sea level rise and associated erosion, in terms of expected land loss and economic activity need to be identified. To achieve this, a joint environmental and economic evaluation approach of the problem can provide a managerial tool to mitigate the impact of beach erosion in tourism, through realistic cost-benefit scenarios for planning alternative protection measures. Such a multipurpose tool needs to consider social, economic and environmental factors, which relationships can be better understood when distributed and analyzed along the geographical space. The risk assessment is implemented through the estimation of the vulnerability and exposure variables of the coast in two scales. The larger scale estimates the vulnerability in a regional level, with the use environmental factors with the use of CVI. The exposure variable is estimated by the use of socioeconomic factors. Subsequently, a smaller scale focuses on highly vulnerable beaches with high social and economic value. The assessment of the natural processes to the environmental characteristics of the beach is estimated with the use of the Beach Vulnerability Index (BVI) method. As exposure variable, the value of beach width that is capitalized in revenues is implemented through a hedonic pricing model. In this econometric modelling, Beach Value is related with economic and environmental

A metric-based assessment of flood risk and vulnerability of rural communities in the Lower Shire Valley, Malawi

Science.gov (United States)

Adeloye, A. J.; Mwale, F. D.; Dulanya, Z.

2015-06-01

In response to the increasing frequency and economic damages of natural disasters globally, disaster risk management has evolved to incorporate risk assessments that are multi-dimensional, integrated and metric-based. This is to support knowledge-based decision making and hence sustainable risk reduction. In Malawi and most of Sub-Saharan Africa (SSA), however, flood risk studies remain focussed on understanding causation, impacts, perceptions and coping and adaptation measures. Using the IPCC Framework, this study has quantified and profiled risk to flooding of rural, subsistent communities in the Lower Shire Valley, Malawi. Flood risk was obtained by integrating hazard and vulnerability. Flood hazard was characterised in terms of flood depth and inundation area obtained through hydraulic modelling in the valley with Lisflood-FP, while the vulnerability was indexed through analysis of exposure, susceptibility and capacity that were linked to social, economic, environmental and physical perspectives. Data on these were collected through structured interviews of the communities. The implementation of the entire analysis within GIS enabled the visualisation of spatial variability in flood risk in the valley. The results show predominantly medium levels in hazardousness, vulnerability and risk. The vulnerability is dominated by a high to very high susceptibility. Economic and physical capacities tend to be predominantly low but social capacity is significantly high, resulting in overall medium levels of capacity-induced vulnerability. Exposure manifests as medium. The vulnerability and risk showed marginal spatial variability. The paper concludes with recommendations on how these outcomes could inform policy interventions in the Valley.

Proliferation Risk Characterization Model Prototype Model - User and Programmer Guidelines

Energy Technology Data Exchange (ETDEWEB)

Dukelow, J.S.; Whitford, D.

1998-12-01

A model for the estimation of the risk of diversion of weapons-capable materials was developed. It represents both the threat of diversion and site vulnerability as a product of a small number of variables (two to eight), each of which can take on a small number (two to four) of qualitatively defined (but quantitatively implemented) values. The values of the overall threat and vulnerability variables are then converted to threat and vulnerability categories. The threat and vulnerability categories are used to define the likelihood of diversion, also defined categorically. The evaluator supplies an estimate of the consequences of a diversion, defined categorically, but with the categories based on the IAEA Attractiveness levels. Likelihood and Consequences categories are used to define the Risk, also defined categorically. The threat, vulnerability, and consequences input provided by the evaluator contains a representation of his/her uncertainty in each variable assignment which is propagated all the way through to the calculation of the Risk categories. [Appendix G available on diskette only.

Vulnerabilities, Influences and Interaction Paths: Failure Data for Integrated System Risk Analysis

Science.gov (United States)

Malin, Jane T.; Fleming, Land

2006-01-01

We describe graph-based analysis methods for identifying and analyzing cross-subsystem interaction risks from subsystem connectivity information. By discovering external and remote influences that would be otherwise unexpected, these methods can support better communication among subsystem designers at points of potential conflict and to support design of more dependable and diagnosable systems. These methods identify hazard causes that can impact vulnerable functions or entities if propagated across interaction paths from the hazard source to the vulnerable target. The analysis can also assess combined impacts of And-Or trees of disabling influences. The analysis can use ratings of hazards and vulnerabilities to calculate cumulative measures of the severity and importance. Identification of cross-subsystem hazard-vulnerability pairs and propagation paths across subsystems will increase coverage of hazard and risk analysis and can indicate risk control and protection strategies.

A framework for the selection and ensemble development of flood vulnerability models

Science.gov (United States)

Figueiredo, Rui; Schröter, Kai; Kreibich, Heidi; Martina, Mario

2017-04-01

Effective understanding and management of flood risk requires comprehensive risk assessment studies that consider not only the hazard component, but also the impacts that the phenomena may have on the built environment, economy and society. This integrated approach has gained importance over recent decades, and with it so has the scientific attention given to flood vulnerability models describing the relationships between flood intensity metrics and damage to physical assets, also known as flood loss models. Despite considerable progress in this field, many challenges persist. Flood damage mechanisms are complex and depend on multiple variables, which can have different degrees of importance depending on the application setting. In addition, data required for the development and validation of such models tend to be scarce, particularly in data poor regions. These issues are reflected in the large amount of flood vulnerability models that are available in the literature today, as well as in their high heterogeneity: they are built with different modelling approaches, in different geographic contexts, utilizing different explanatory variables, and with varying levels of complexity. Notwithstanding recent developments in this area, uncertainty remains high, and large disparities exist among models. For these reasons, identifying which model or models, given their properties, are appropriate for a given context is not straightforward. In the present study, we propose a framework that guides the structured selection of flood vulnerability models and enables ranking them according to their suitability for a certain application, based on expert judgement. The approach takes advantage of current state of the art and most up-to-date knowledge on flood vulnerability processes. Given the heterogeneity and uncertainty currently present in flood vulnerability models, we propose the use of a model ensemble. With this in mind, the proposed approach is based on a weighting scheme

A unified framework for risk and vulnerability analysis covering both safety and security

International Nuclear Information System (INIS)

Aven, Terje

2007-01-01

Recently, we have seen several attempts to establish adequate risk and vulnerability analyses tools and related management frameworks dealing not only with accidental events but also security problems. These attempts have been based on different analysis approaches and using alternative building blocks. In this paper, we discuss some of these and show how a unified framework for such analyses and management tasks can be developed. The framework is based on the use of probability as a measure of uncertainty, as seen through the eyes of the assessor, and define risk as the combination of possible consequences and related uncertainties. Risk and vulnerability characterizations are introduced incorporating ideas both from vulnerability analyses literature as well as from the risk classification scheme introduced by Renn and Klinke

Comparison and Evaluation of Global Scale Studies of Vulnerability and Risks to Climate Change

Science.gov (United States)

Muccione, Veruska; Allen, Simon K.; Huggel, Christian; Birkmann, Joern

2015-04-01

Understanding the present and future distribution of different climate change impacts and vulnerability to climate change is a central subject in the context of climate justice and international climate policy. Commonly, it is claimed that poor countries that contributed little to anthropogenic climate change are those most affected and most vulnerable to climate change. Such statements are backed by a number of global-scale vulnerability studies, which identified poor countries as most vulnerable. However, some studies have challenged this view, likewise highlighting the high vulnerability of richer countries. Overall, no consensus has been reached so far about which concept of vulnerability should be applied and what type of indicators should be considered. Furthermore, there is little agreement which specific countries are most vulnerable. This is a major concern in view of the need to inform international climate policy, all the more if such assessments should contribute to allocate climate adaptation funds as was invoked at some instances. We argue that next to the analysis of who is most vulnerable, it is also important to better understand and compare different vulnerability profiles assessed in present global studies. We perform a systematic literature review of global vulnerability assessments with the scope to highlight vulnerability distribution patterns. We then compare these distributions with global risk distributions in line with revised and adopted concepts by most recent IPCC reports. It emerges that improved differentiation of key drivers of risk and the understanding of different vulnerability profiles are important contributions, which can inform future adaptation policies at the regional and national level. This can change the perspective on, and basis for distributional issues in view of climate burden share, and therefore can have implications for UNFCCC financing instruments (e.g. Green Climate Fund). However, in order to better compare

Geography students learn more about risk and vulnerability

CSIR Research Space (South Africa)

Murambadoro, M

2011-11-01

Full Text Available As part of the outreach programme the South African Risk and Vulnerability Atlas (SARVA) was introduced to geography students of the Society of South African Geographers Students. The students were attending their annual conference hosted...

Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined aquifer of Shiraz Plain, Iran.

Science.gov (United States)

Baghapour, Mohammad Ali; Fadaei Nobandegani, Amir; Talebbeydokhti, Nasser; Bagherzadeh, Somayeh; Nadiri, Ata Allah; Gharekhani, Maryam; Chitsazan, Nima

2016-01-01

Extensive human activities and unplanned land uses have put groundwater resources of Shiraz plain at a high risk of nitrate pollution, causing several environmental and human health issues. To address these issues, water resources managers utilize groundwater vulnerability assessment and determination of protection. This study aimed to prepare the vulnerability maps of Shiraz aquifer by using Composite DRASTIC index, Nitrate Vulnerability index, and artificial neural network and also to compare their efficiency. The parameters of the indexes that were employed in this study are: depth to water table, net recharge, aquifer media, soil media, topography, impact of the vadose zone, hydraulic conductivity, and land use. These parameters were rated, weighted, and integrated using GIS, and then, used to develop the risk maps of Shiraz aquifer. The results indicated that the southeastern part of the aquifer was at the highest potential risk. Given the distribution of groundwater nitrate concentrations from the wells in the underlying aquifer, the artificial neural network model offered greater accuracy compared to the other two indexes. The study concluded that the artificial neural network model is an effective model to improve the DRASTIC index and provides a confident estimate of the pollution risk. As intensive agricultural activities are the dominant land use and water table is shallow in the vulnerable zones, optimized irrigation techniques and a lower rate of fertilizers are suggested. The findings of our study could be used as a scientific basis in future for sustainable groundwater management in Shiraz plain.

Proliferation Risk Characterization Model Prototype Model - User and Programmer Guidelines; TOPICAL

International Nuclear Information System (INIS)

Dukelow, J.S.; Whitford, D.

1998-01-01

A model for the estimation of the risk of diversion of weapons-capable materials was developed. It represents both the threat of diversion and site vulnerability as a product of a small number of variables (two to eight), each of which can take on a small number (two to four) of qualitatively defined (but quantitatively implemented) values. The values of the overall threat and vulnerability variables are then converted to threat and vulnerability categories. The threat and vulnerability categories are used to define the likelihood of diversion, also defined categorically. The evaluator supplies an estimate of the consequences of a diversion, defined categorically, but with the categories based on the IAEA Attractiveness levels. Likelihood and Consequences categories are used to define the Risk, also defined categorically. The threat, vulnerability, and consequences input provided by the evaluator contains a representation of his/her uncertainty in each variable assignment which is propagated all the way through to the calculation of the Risk categories.[Appendix G available on diskette only.

Uncertainties in smart grids behavior and modeling: What are the risks and vulnerabilities? How to analyze them?

Energy Technology Data Exchange (ETDEWEB)

Zio, Enrico, E-mail: enrico.zio@ecp.fr [Ecole Centrale Paris - Supelec, Paris (France); Politecnico di Milano, Milano (Italy); Aven, Terje, E-mail: terje.aven@uis.no [University of Stavanger, Stavanger (Norway)

2011-10-15

This paper looks into the future world of smart grids from a rather different perspective than usual: that of uncertainties and the related risks and vulnerabilities. An analysis of the foreseen constituents of smart grids and of the technological, operational, economical and policy-driven challenges is carried out to identify and characterize the related uncertainties and associated risks and vulnerabilities. The focus is on the challenges posed to the representation and treatment of uncertainties in the performance assessment of such systems, given their complexity and high-level of integration of novel technologies. A general framework of analysis is proposed. - Highlights: > We have looked into the development and operation of smart grids for power distribution. > We have identified a number of uncertainties, which are expected to play an influential role. > We have provided some guidelines to address these issues, based on probability intervals.

The Impact of Privacy Concerns and Perceived Vulnerability to Risks on Users Privacy Protection Behaviors on SNS: A Structural Equation Model

OpenAIRE

Noora Sami Al-Saqer; Mohamed E. Seliaman

2016-01-01

This research paper investigates Saudi users’ awareness levels about privacy policies in Social Networking Sites (SNSs), their privacy concerns and their privacy protection measures. For this purpose, a research model that consists of five main constructs namely information privacy concern, awareness level of privacy policies of social networking sites, perceived vulnerability to privacy risks, perceived response efficacy, and privacy protecting behavior was developed. An online survey questi...

Vulnerability and Risk Analysis Program: Overview of Assessment Methodology

National Research Council Canada - National Science Library

2001-01-01

.... Over the last three years, a team of national laboratory experts, working in partnership with the energy industry, has successfully applied the methodology as part of OCIP's Vulnerability and Risk Analysis Program (VRAP...

Hierarchical Modelling of Flood Risk for Engineering Decision Analysis

DEFF Research Database (Denmark)

Custer, Rocco

protection structures in the hierarchical flood protection system - is identified. To optimise the design of protection structures, fragility and vulnerability models must allow for consideration of decision alternatives. While such vulnerability models are available for large protection structures (e...... systems, as well as the implementation of the flood risk analysis methodology and the vulnerability modelling approach are illustrated with an example application. In summary, the present thesis provides a characterisation of hierarchical flood protection systems as well as several methodologies to model...... and robust. Traditional risk management solutions, e.g. dike construction, are not particularly flexible, as they are difficult to adapt to changing risk. Conversely, the recent concept of integrated flood risk management, entailing a combination of several structural and non-structural risk management...

Critical infrastructures risk and vulnerability assessment in transportation of dangerous goods transportation by road and rail

CERN Document Server

Vamanu, Bogdan I; Katina, Polinpapilinho F

2016-01-01

This book addresses a key issue in today’s society: the safer transport of dangerous goods, taking into account people, the environment and economics. In particular, it offers a potential approach to identifying the issues, developing the models, providing the methods and recommending the tools to address the risks and vulnerabilities involved. We believe this can only be achieved by assessing those risks in a comprehensive, quantifiable and integrated manner. Examining both rail and road transportation, the book is divided into three sections, covering: the mature and accepted (by both academia and practitioners) methodology of risk assessment; the vulnerability assessment – a novel approach proposed as a vital complement to risk; guidance and support to build the tools that make methods and equations to yield: the Decision Support Systems. Throughout the book, the authors do not endeavor to provide THE solution. Instead, the book offers insightful food for thought for students, researchers, practitioner...

Sex Differences in Sources of Resilience and Vulnerability to Risk for Delinquency.

Science.gov (United States)

Newsome, Jamie; Vaske, Jamie C; Gehring, Krista S; Boisvert, Danielle L

2016-04-01

Research on adolescent risk factors for delinquency has suggested that, due to genetic differences, youth may respond differently to risk factors, with some youth displaying resilience and others a heightened vulnerability. Using a behavioral genetic design and data from the National Longitudinal Study of Adolescent to Adult Health, this study examines whether there are sex differences in the genetic and environmental factors that influence the ways in which adolescents respond to cumulative risk for violent, nonviolent, and overall delinquency in a sample of twins (152 MZ male, 155 MZ female, 140 DZ male, 130 DZ female, and 204 DZ opposite-sex twin pairs). The results revealed that males tended to show greater vulnerability to risk for all types of delinquency, and females exhibited greater resilience. Among males, additive genetic factors accounted for 41, 29, and 43 % of the variance in responses to risk for violent, nonviolent, and overall delinquency, respectively. The remaining proportion of variance in each model was attributed to unique environmental influences, with the exception of 11 % of the variance in nonviolent responses to risk being attributed to common environmental factors. Among females, no significant genetic influences were observed; however, common environmental contributions to differences in the ways females respond to risk for violent, nonviolent, and overall delinquency were 44, 42, and 45 %, respectively. The remaining variance was attributed to unique environmental influences. Overall, genetic factors moderately influenced males' responses to risk while environmental factors fully explain variation in females' responses to risk. The implications of these findings are discussed in the context of improving the understanding of relationships between risks and outcomes, as well as informing policy and practice with adolescent offenders.

Viewpoint Responding to Risks and Vulnerability Issues Through ...

African Journals Online (AJOL)

This paper emerges from a keynote presentation at the School of Education, Department of Teacher Education of the University of South Africa Research Indaba in September 2010. The paper introduces the concepts of risks and vulnerability by means of two examples of what happens when development ignores social ...

Modelling self-assessed vulnerability to HIV and its associated ...

African Journals Online (AJOL)

Background: Globally, individuals' self-assessment of vulnerability to HIV infection is important to maintain safer sexual behaviour and reduce risky behaviours. However, determinants of self-perceived risk of HIV infection are not well documented and differ. We assessed the level of self-perceived vulnerability to HIV ...

An Extreme-Value Approach to Anomaly Vulnerability Identification

Science.gov (United States)

Everett, Chris; Maggio, Gaspare; Groen, Frank

2010-01-01

The objective of this paper is to present a method for importance analysis in parametric probabilistic modeling where the result of interest is the identification of potential engineering vulnerabilities associated with postulated anomalies in system behavior. In the context of Accident Precursor Analysis (APA), under which this method has been developed, these vulnerabilities, designated as anomaly vulnerabilities, are conditions that produce high risk in the presence of anomalous system behavior. The method defines a parameter-specific Parameter Vulnerability Importance measure (PVI), which identifies anomaly risk-model parameter values that indicate the potential presence of anomaly vulnerabilities, and allows them to be prioritized for further investigation. This entails analyzing each uncertain risk-model parameter over its credible range of values to determine where it produces the maximum risk. A parameter that produces high system risk for a particular range of values suggests that the system is vulnerable to the modeled anomalous conditions, if indeed the true parameter value lies in that range. Thus, PVI analysis provides a means of identifying and prioritizing anomaly-related engineering issues that at the very least warrant improved understanding to reduce uncertainty, such that true vulnerabilities may be identified and proper corrective actions taken.

Risk management and the vulnerability assessment process of the United States Department of Energy

International Nuclear Information System (INIS)

Rivers, J.D.; Johnson, O.B.; Callahan, S.N.

2001-01-01

facility protection philosophy and strategy; and provides an estimate of resources required to accomplish improvements. Two major parts comprise a SSSP. Part I, the Safeguards and Security Management Report, contains information describing protection strategies, site/facility safeguards and security programs, approved deviations from policy, as well as plans and procedures designed to manage and maintain safeguards and security programs. Part II, the Vulnerability Assessment Report, reflects the results of Vulnerability Assessments; the validation of Vulnerability Assessment results by performance tests; currently existing protection programs; and any required corrective actions. The SSSP process can be a complex and resource intensive process. The responsibility for the steps in the current SSSP process can be directly attributable to the various Departmental organizations with an interest in safeguards and security risk management within the Department. Vulnerability Assessments form the basis for the Safeguards and Security Planning Process. The Vulnerability Assessments are performed by a process summarized in following six steps: 1) Threat and Target Identification; 2) Facility Characterization; 3) Protective Force and Systems Characterization; 4) Risk Determination; 5) Risk Validation and Verification; and 6) VA Approval and Concurrence. Threat and target identification are accomplished through the application of the DOE Design Basis Threat against targets prioritized based on Material Category, Attractiveness and Desirability. The facility characterization is a process that models a facility to determine material, system and protective force dispositions. The model relies heavily an the operations personnel, maintenance personnel and the protective force personnel for accurate information. The protective force and systems characterization determine, model and quantify the operations, capabilities and performance as applied against potential adversaries. The

Vulnerable Populations Perceive Their Health as at Risk from Climate Change.

Science.gov (United States)

Akerlof, Karen L; Delamater, Paul L; Boules, Caroline R; Upperman, Crystal R; Mitchell, Clifford S

2015-12-04

Climate change is already taking a toll on human health, a toll that is likely to increase in coming decades. The relationship between risk perceptions and vulnerability to climate change's health threats has received little attention, even though an understanding of the dynamics of adaptation among particularly susceptible populations is becoming increasingly important. We demonstrate that some people whose health will suffer the greatest harms from climate change-due to social vulnerability, health susceptibility, and exposure to hazards-already feel they are at risk. In a 2013 survey we measured Maryland residents' climate beliefs, health risk perceptions, and household social vulnerability characteristics, including medical conditions (n = 2126). We paired survey responses with secondary data sources for residence in a floodplain and/or urban heat island to predict perceptions of personal and household climate health risk. General health risk perceptions, political ideology, and climate beliefs are the strongest predictors. Yet, people in households with the following characteristics also see themselves at higher risk: members with one or more medical conditions or disabilities; low income; racial/ethnic minorities; and residence in a floodplain. In light of these results, climate health communication among vulnerable populations should emphasize protective actions instead of risk messages.

Vulnerable Populations Perceive Their Health as at Risk from Climate Change

Directory of Open Access Journals (Sweden)

Karen L. Akerlof

2015-12-01

Full Text Available Climate change is already taking a toll on human health, a toll that is likely to increase in coming decades. The relationship between risk perceptions and vulnerability to climate change’s health threats has received little attention, even though an understanding of the dynamics of adaptation among particularly susceptible populations is becoming increasingly important. We demonstrate that some people whose health will suffer the greatest harms from climate change—due to social vulnerability, health susceptibility, and exposure to hazards—already feel they are at risk. In a 2013 survey we measured Maryland residents’ climate beliefs, health risk perceptions, and household social vulnerability characteristics, including medical conditions (n = 2126. We paired survey responses with secondary data sources for residence in a floodplain and/or urban heat island to predict perceptions of personal and household climate health risk. General health risk perceptions, political ideology, and climate beliefs are the strongest predictors. Yet, people in households with the following characteristics also see themselves at higher risk: members with one or more medical conditions or disabilities; low income; racial/ethnic minorities; and residence in a floodplain. In light of these results, climate health communication among vulnerable populations should emphasize protective actions instead of risk messages.

Vulnerable Populations Perceive Their Health as at Risk from Climate Change

Science.gov (United States)

Akerlof, Karen L.; Delamater, Paul L.; Boules, Caroline R.; Upperman, Crystal R.; Mitchell, Clifford S.

2015-01-01

Climate change is already taking a toll on human health, a toll that is likely to increase in coming decades. The relationship between risk perceptions and vulnerability to climate change’s health threats has received little attention, even though an understanding of the dynamics of adaptation among particularly susceptible populations is becoming increasingly important. We demonstrate that some people whose health will suffer the greatest harms from climate change—due to social vulnerability, health susceptibility, and exposure to hazards—already feel they are at risk. In a 2013 survey we measured Maryland residents’ climate beliefs, health risk perceptions, and household social vulnerability characteristics, including medical conditions (n = 2126). We paired survey responses with secondary data sources for residence in a floodplain and/or urban heat island to predict perceptions of personal and household climate health risk. General health risk perceptions, political ideology, and climate beliefs are the strongest predictors. Yet, people in households with the following characteristics also see themselves at higher risk: members with one or more medical conditions or disabilities; low income; racial/ethnic minorities; and residence in a floodplain. In light of these results, climate health communication among vulnerable populations should emphasize protective actions instead of risk messages. PMID:26690184

The physical vulnerability of elements at risk: a methodology based on fluid and classical mechanics

Science.gov (United States)

Mazzorana, B.; Fuchs, S.; Levaggi, L.

2012-04-01

The impacts of the flood events occurred in autumn 2011 in the Italian regions Liguria and Tuscany revived the engagement of the public decision makers to enhance in synergy flood control and land use planning. In this context, the design of efficient flood risk mitigation strategies and their subsequent implementation critically relies on a careful vulnerability analysis of both, the immobile and mobile elements at risk potentially exposed to flood hazards. Based on fluid and classical mechanics notions we developed computation schemes enabling for a dynamic vulnerability and risk analysis facing a broad typological variety of elements at risk. The methodological skeleton consists of (1) hydrodynamic computation of the time-varying flood intensities resulting for each element at risk in a succession of loading configurations; (2) modelling the mechanical response of the impacted elements through static, elasto-static and dynamic analyses; (3) characterising the mechanical response through proper structural damage variables and (4) economic valuation of the expected losses as a function of the quantified damage variables. From a computational perspective we coupled the description of the hydrodynamic flow behaviour and the induced structural modifications of the elements at risk exposed. Valuation methods, suitable to support a correct mapping from the value domains of the physical damage variables to the economic loss values are discussed. In such a way we target to complement from a methodological perspective the existing, mainly empirical, vulnerability and risk assessment approaches to refine the conceptual framework of the cost-benefit analysis. Moreover, we aim to support the design of effective flood risk mitigation strategies by diminishing the main criticalities within the systems prone to flood risk.

Developing a probability-based model of aquifer vulnerability in an agricultural region

Science.gov (United States)

Chen, Shih-Kai; Jang, Cheng-Shin; Peng, Yi-Huei

2013-04-01

SummaryHydrogeological settings of aquifers strongly influence the regional groundwater movement and pollution processes. Establishing a map of aquifer vulnerability is considerably critical for planning a scheme of groundwater quality protection. This study developed a novel probability-based DRASTIC model of aquifer vulnerability in the Choushui River alluvial fan, Taiwan, using indicator kriging and to determine various risk categories of contamination potentials based on estimated vulnerability indexes. Categories and ratings of six parameters in the probability-based DRASTIC model were probabilistically characterized according to the parameter classification methods of selecting a maximum estimation probability and calculating an expected value. Moreover, the probability-based estimation and assessment gave us an excellent insight into propagating the uncertainty of parameters due to limited observation data. To examine the prediction capacity of pollutants for the developed probability-based DRASTIC model, medium, high, and very high risk categories of contamination potentials were compared with observed nitrate-N exceeding 0.5 mg/L indicating the anthropogenic groundwater pollution. The analyzed results reveal that the developed probability-based DRASTIC model is capable of predicting high nitrate-N groundwater pollution and characterizing the parameter uncertainty via the probability estimation processes.

Vulnerability assessments, identity and spatial scale challenges in disaster-risk reduction

Directory of Open Access Journals (Sweden)

Edward R. Carr

2015-11-01

Full Text Available Current approaches to vulnerability assessment for disaster-risk reduction (DRR commonly apply generalised, a priori determinants of vulnerability to particular hazards in particular places. Although they may allow for policy-level legibility at high levels of spatial scale, these approaches suffer from attribution problems that become more acute as the level of analysis is localised and the population under investigation experiences greater vulnerability. In this article, we locate the source of this problem in a spatial scale mismatch between the essentialist framings of identity behind these generalised determinants of vulnerability and the intersectional, situational character of identity in the places where DRR interventions are designed and implemented. Using the Livelihoods as Intimate Government (LIG approach to identify and understand different vulnerabilities to flooding in a community in southern Zambia, we empirically demonstrate how essentialist framings of identity produce this mismatch. Further, we illustrate a means of operationalising intersectional, situational framings of identity to achieve greater and more productive understandings of hazard vulnerability than available through the application of general determinants of vulnerability to specific places and cases.

Considering Time-Dependency of Social Vulnerability in Crisis Modeling and Management

Science.gov (United States)

Aubrecht, C.; Steinnocher, K.; Freire, S.; Loibl, W.; Peters-Anders, J.; Ungar, J.

2012-04-01

Crisis and disaster management is much more than the immediate first-response actions following an incident. In many projects the main focus has been on the phase starting at the point when an unwanted event happens and lasting until the activities return to normal routines (i.e., ad hoc reaction rather than proactive mitigation). There has been less emphasis on the other phases of the disaster management cycle such as prevention, preparedness, recovery and reconstruction, even though those phases have a strong influence on the general status of a society and its citizens. Especially the potential of a crisis to escalate into a large-scale disaster is heavily dependent on the overall level of preparedness as well as on the planning of mitigation and response actions and their timely execution. There is a need for improved decision-making support that enables modeling of different crisis scenarios and their impacts according to chosen prevention and response actions. Vulnerability describing the status of a society with respect to an imposed hazard or potential impact is considered a strongly multidisciplinary concept. A central objective of vulnerability assessment is to provide indications where and how people - and more specifically, what kind of people - might be affected by a certain impact. Results should provide decision- and policy-makers with supporting information to target response and mitigation actions adequately. For assessment of the social dimension of vulnerability, population exposure mapping is usually considered the starting point. Integration of social structure and varying aspects of resilience further differentiate situation-specific vulnerability patterns on a local scale. In a disaster risk management context, assessment of human vulnerability has generally been lagging behind hazard analysis efforts. Accurately estimating population exposure is a key component of catastrophe loss modeling, one element of effective integrated risk analysis

Declining vulnerability to river floods and the global benefits of adaptation.

Science.gov (United States)

Jongman, Brenden; Winsemius, Hessel C; Aerts, Jeroen C J H; Coughlan de Perez, Erin; van Aalst, Maarten K; Kron, Wolfgang; Ward, Philip J

2015-05-05

The global impacts of river floods are substantial and rising. Effective adaptation to the increasing risks requires an in-depth understanding of the physical and socioeconomic drivers of risk. Whereas the modeling of flood hazard and exposure has improved greatly, compelling evidence on spatiotemporal patterns in vulnerability of societies around the world is still lacking. Due to this knowledge gap, the effects of vulnerability on global flood risk are not fully understood, and future projections of fatalities and losses available today are based on simplistic assumptions or do not include vulnerability. We show for the first time (to our knowledge) that trends and fluctuations in vulnerability to river floods around the world can be estimated by dynamic high-resolution modeling of flood hazard and exposure. We find that rising per-capita income coincided with a global decline in vulnerability between 1980 and 2010, which is reflected in decreasing mortality and losses as a share of the people and gross domestic product exposed to inundation. The results also demonstrate that vulnerability levels in low- and high-income countries have been converging, due to a relatively strong trend of vulnerability reduction in developing countries. Finally, we present projections of flood losses and fatalities under 100 individual scenario and model combinations, and three possible global vulnerability scenarios. The projections emphasize that materialized flood risk largely results from human behavior and that future risk increases can be largely contained using effective disaster risk reduction strategies.

Adolescent Social Isolation as a Model of Heightened Vulnerability to Comorbid Alcoholism and Anxiety Disorders.

Science.gov (United States)

Butler, Tracy R; Karkhanis, Anushree N; Jones, Sara R; Weiner, Jeffrey L

2016-06-01

Individuals diagnosed with anxiety-related illnesses are at increased risk of developing alcoholism, exhibit a telescoped progression of this disease and fare worse in recovery, relative to alcoholics that do not suffer from a comorbid anxiety disorder. Similarly, preclinical evidence supports the notion that stress and anxiety represent major risk factors for the development of alcohol use disorder (AUD). Despite the importance of understanding the link between anxiety and alcoholism, much remains unknown about the neurobiological substrates underlying this relationship. One stumbling block has been the lack of animal models that reliably reproduce the spectrum of behaviors associated with increased vulnerability to these diseases. Here, we review the literature that has examined the behavioral and neurobiological outcomes of a simple rodent adolescent social isolation procedure and discuss its validity as a model of vulnerability to comorbid anxiety disorders and alcoholism. Recent studies have provided strong evidence that adolescent social isolation of male rats leads to the expression of a variety of behaviors linked with increased vulnerability to anxiety and/or AUD, including deficits in sensory gating and fear extinction, and increases in anxiety measures and ethanol drinking. Neurobiological studies are beginning to identify mesolimbic adaptations that may contribute to the behavioral phenotype engendered by this model. Some of these changes include increased excitability of ventral tegmental area dopamine neurons and pyramidal cells in the basolateral amygdala and significant alterations in baseline and stimulated catecholamine signaling. A growing body of evidence suggests that adolescent social isolation may represent a reliable rodent model of heightened vulnerability to anxiety disorders and alcoholism in male rats. These studies provide initial support for the face, construct, and predictive validity of this model and highlight its utility in

Security of Energy Supply - Indicators for Measuring Vulnerability and Risk

International Nuclear Information System (INIS)

Heinrich, C.

2010-01-01

In an era of increasing globalization, secure and affordable energy supplies are an essential requirement for economies to work, much less develop and grow in the long term. The present study, Energy security of supply - indicators for measuring vulnerability and risk, develops a broad methodical assessment concept to raise awareness among policy makers and the public regarding the vulnerability of energy supplies to potential energy crises. It explores the different aspects of vulnerability, from the primary energy level to energy infrastructure (storage, networks, power plant parks) to the efficiency and cost of energy consumption for end users. The individual characteristics of the formal concept were quantitatively evaluated for several OECD regions (Germany, UK, Sweden, Poland, Italy, France and the US) using a comprehensive empirical database and reduced to a single indicator for assessing energy supply vulnerability. Part of the database comprises historical observations for the period between 1978 and 2007.(author).

Measurement of the influences relating to anthropization on the temporal evolution of the gravitational risks and the vulnerability.

Science.gov (United States)

Lebourg, T.; Llop, R.; Provitolo, D.; Allignol, F.; Zerathe, S.

2009-04-01

The objective of this paper is to show the impact of the instrumentation on an urban area on the principle of prevention of the landslides risk and thus to contribute to decrease the vulnerability for an urban long-term future development. We show that the analyze by instrumentation of triggered factors which characterize the risk (by the quantification of the evolution in time of the mechanical properties versus weathered processes) suggest that it exists a relation between "susceptibility of landslides" and urban development The evolution of the stakes during time is at the same time, factor of evolution of the susceptibility and triggered factor of the vulnerability evolution of urban areas. The scientific goal relates to the urban systems vulnerability and resilience modelling versus landslides processes for the assistance to the risks prevention. Indeed, the installation of an effective risks prevention policy is based on a good evaluation of the intensity, the period of return of the phenomena and their zone of expansion, but also on an identification of the sectors exposed to the risks, their vulnerability and their resilience. The strategy of prevention of the risks generally relates to the construction of fortifications to protect the society but it can also be founded on the resilience concept. This other approach is not opposed to the risk, but proposes to reduce the impacts. The anthroposysteme concept of makes it possible to take into accounts the determining role played by the human society in the space system evolution; natural and social systems associated on a given territory. The study of a space system passes then by the identification of components of the physical world (natural) and the living world (social), these two components forming integral part of the Society. To be concluded, this paper and study applies to the Mediterranean coastline anthroposystemes (northern bank) where urban growth, saturation of the littorals, constructions in

Modelling self-assessed vulnerability to HIV and its associated factors in a HIV-burdened country.

Science.gov (United States)

Fagbamigbe, A F; Lawal, A M; Idemudia, E S

2017-12-01

Globally, individuals' self-assessment of vulnerability to HIV infection is important to maintain safer sexual behaviour and reduce risky behaviours. However, determinants of self-perceived risk of HIV infection are not well documented and differ. We assessed the level of self-perceived vulnerability to HIV infection in Nigeria and also identified its risk factors. We explored a recent nationally representative data with self-reported vulnerability ('high', 'low' and 'no risk at all') to HIV infection as the outcome of interest. Data were weighted and association between the outcomes and the risk factors determined. We used simple ordered logit regression to model relationship between the outcome variable and risk factors, and controlled for the significant variables in multiple ordered logistic regression at 5% significance level. About 74% had good knowledge of HIV transmission and 6% had experienced STI recently. The likelihood of assessing oneself as having 'no risk at all' was 50% and for 'high chances' was 1.6%. Self-perceived high risk of HIV was higher among those who recently experienced STI (5.6%) than those who did not (1.7%), and also higher among those who recently engaged in transactional sex and had multiple sexual partners. The odds of good knowledge of HIV transmission on high self-perceived vulnerability to HIV was 19% higher than poor knowledge (OR = 1.19, 95% CI: 1.12-1.27). Also, respondents who recently had multiple sexual partners were 72% (OR = 1.72, 95% CI: 1.60-1.86) more likely to report self as having high risk. Younger respondents aged 14-19 years had higher odds of 41% (OR = 1.41, 95% CI: 1.29-1.55) to perceive self as having high vulnerability to HIV than older respondents. High vulnerability to HIV infection was reported among younger respondents, those with history of STIS and those who engage in multiple sexual relations. Despite high level of risky sexual behaviour and good knowledge of HIV transmission and prevention

Vulnerabilities and rupture risk in the supply of materials and medicine on the supply chain in the Public Hospital

Directory of Open Access Journals (Sweden)

Lilian de Fátima Silva

2018-06-01

Full Text Available Constant disruptions in the hospital supply chain caused by various sources of risk and vulnerability have been identified. This article aims to identify and analyze the main vulnerabilities that cause rupture risk in the supply of materials and medicines, on the supply chain in a public hospital in the city of Belo Horizonte. From qualitative research, we interviewed ten employees of the hospital and five suppliers. The interview script used was adapted from the model proposed by Mason-Jones and Towill (1988 and adapted by Bastos Junior (2007. As part of the results, it is possible to mention the risks of supply and the processes risk as being among those which were of more concern to the employees and the supply risks and control risk of more concern in the suppliers vision. It is inferred that more investment is necessary in the hospital supply chain management, given that the processes are based on the reaction to the risks rather than their prevention.

spatially identifying vulnerable areas

African Journals Online (AJOL)

The model structure is aimed at understanding the critical vulnerable factors that ... This paper incorporates multiple criteria and rank risk factors. ..... In terms of quantifying vulnerable areas within the country, the analysis is done based on 9 ...

Risk Perception and Vulnerability of Wetlands Areas on South ...

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

Canadian specialists are contributing to research examining the risks to and vulnerability of wetland areas along the Atlantic coast of South America. These areas along the coastline protect ecosystems provide flood control, stabilize shorelines, replenish groundwater, and purify water. They also act as reservoirs of ...

Animal models to study plaque vulnerability

NARCIS (Netherlands)

Schapira, K.; Heeneman, S.; Daemen, M. J. A. P.

2007-01-01

The need to identify and characterize vulnerable atherosclerotic lesions in humans has lead to the development of various animal models of plaque vulnerability. In this review, current concepts of the vulnerable plaque as it leads to an acute coronary event are described, such as plaque rupture,

Modeling groundwater vulnerability to pollution using Optimized DRASTIC model

International Nuclear Information System (INIS)

Mogaji, Kehinde Anthony; Lim, Hwee San; Abdullar, Khiruddin

2014-01-01

The prediction accuracy of the conventional DRASTIC model (CDM) algorithm for groundwater vulnerability assessment is severely limited by the inherent subjectivity and uncertainty in the integration of data obtained from various sources. This study attempts to overcome these problems by exploring the potential of the analytic hierarchy process (AHP) technique as a decision support model to optimize the CDM algorithm. The AHP technique was utilized to compute the normalized weights for the seven parameters of the CDM to generate an optimized DRASTIC model (ODM) algorithm. The DRASTIC parameters integrated with the ODM algorithm predicted which among the study areas is more likely to become contaminated as a result of activities at or near the land surface potential. Five vulnerability zones, namely: no vulnerable(NV), very low vulnerable (VLV), low vulnerable (LV), moderate vulnerable (MV) and high vulnerable (HV) were identified based on the vulnerability index values estimated with the ODM algorithm. Results show that more than 50% of the area belongs to both moderate and high vulnerable zones on the account of the spatial analysis of the produced ODM-based groundwater vulnerability prediction map (GVPM).The prediction accuracy of the ODM-based – GVPM with the groundwater pH and manganese (Mn) concentrations established correlation factors (CRs) result of 90 % and 86 % compared to the CRs result of 62 % and 50 % obtained for the validation accuracy of the CDM – based GVPM. The comparative results, indicated that the ODM-based produced GVPM is more reliable than the CDM – based produced GVPM in the study area. The study established the efficacy of AHP as a spatial decision support technique in enhancing environmental decision making with particular reference to future groundwater vulnerability assessment

Where Lies the Risk? An Ecological Approach to Understanding Child Mental Health Risk and Vulnerabilities in Sub-Saharan Africa

Directory of Open Access Journals (Sweden)

Olayinka Atilola

2014-01-01

Full Text Available Efforts at improving child-health and development initiatives in sub-Saharan Africa had focused on the physical health of children due to the neglect of child and adolescent mental health (CAMH policy initiatives. A thorough and broad-based understanding of the prevalent child mental-health risk and vulnerability factors is needed to successfully articulate CAMH policies. In this discourse, we present a narrative on the child mental-health risk and vulnerability factors in sub-Saharan Africa. Through an ecological point of view, we identified widespread family poverty, poor availability and uptake of childcare resources, inadequate community and institutional childcare systems, and inadequate framework for social protection for vulnerable children as among the risk and vulnerability factors for CAMH in the region. Others are poor workplace policy/practice that does not support work-family life balance, poor legislative framework for child protection, and some harmful traditional practices. We conclude that an ecological approach shows that child mental-health risks are diverse and cut across different layers of the care environment. The approach also provides a broad and holistic template from which appropriate CAMH policy direction in sub-Saharan Africa can be understood.

Where lies the risk? An ecological approach to understanding child mental health risk and vulnerabilities in sub-saharan Africa.

Science.gov (United States)

Atilola, Olayinka

2014-01-01

Efforts at improving child-health and development initiatives in sub-Saharan Africa had focused on the physical health of children due to the neglect of child and adolescent mental health (CAMH) policy initiatives. A thorough and broad-based understanding of the prevalent child mental-health risk and vulnerability factors is needed to successfully articulate CAMH policies. In this discourse, we present a narrative on the child mental-health risk and vulnerability factors in sub-Saharan Africa. Through an ecological point of view, we identified widespread family poverty, poor availability and uptake of childcare resources, inadequate community and institutional childcare systems, and inadequate framework for social protection for vulnerable children as among the risk and vulnerability factors for CAMH in the region. Others are poor workplace policy/practice that does not support work-family life balance, poor legislative framework for child protection, and some harmful traditional practices. We conclude that an ecological approach shows that child mental-health risks are diverse and cut across different layers of the care environment. The approach also provides a broad and holistic template from which appropriate CAMH policy direction in sub-Saharan Africa can be understood.

Where Lies the Risk? An Ecological Approach to Understanding Child Mental Health Risk and Vulnerabilities in Sub-Saharan Africa

Science.gov (United States)

Atilola, Olayinka

2014-01-01

Efforts at improving child-health and development initiatives in sub-Saharan Africa had focused on the physical health of children due to the neglect of child and adolescent mental health (CAMH) policy initiatives. A thorough and broad-based understanding of the prevalent child mental-health risk and vulnerability factors is needed to successfully articulate CAMH policies. In this discourse, we present a narrative on the child mental-health risk and vulnerability factors in sub-Saharan Africa. Through an ecological point of view, we identified widespread family poverty, poor availability and uptake of childcare resources, inadequate community and institutional childcare systems, and inadequate framework for social protection for vulnerable children as among the risk and vulnerability factors for CAMH in the region. Others are poor workplace policy/practice that does not support work-family life balance, poor legislative framework for child protection, and some harmful traditional practices. We conclude that an ecological approach shows that child mental-health risks are diverse and cut across different layers of the care environment. The approach also provides a broad and holistic template from which appropriate CAMH policy direction in sub-Saharan Africa can be understood. PMID:24834431

Orphans and at-risk children in Haiti: vulnerabilities and human rights issues postearthquake.

Science.gov (United States)

Nicholas, Patrice K; George, Erin K; Raymond, Nadia; Lewis-OʼConnor, Annie; Victoria, Stephanie; Lucien, Sergeline; Peters-Lewis, Angelleen; Hickey, Nancy; Corless, Inge B; Tyer-Viola, Lynda; Davis, Sheila M; Barry, Donna; Marcelin, Naomie; Valcourt, Roodeline

2012-01-01

The vulnerability of children in Haiti has increased dramatically since the earthquake in January 2010. Prior to the earthquake, the prevalence of orphans and at-risk children was high but since the earthquake, more than 1 million people-with more than 380,000 children remaining displaced and living in over 1200 displacement sites. These existing conditions leave orphans and at-risk children vulnerable to exploitation, abuse, and increased risk of HIV/AIDS. This article will focus on the complex issues affecting orphans and at-risk children and the intersection with HIV/AIDS and human rights. Specific recommendations by United Nations Children's Fund are discussed. Nursing in Haiti must address the policy-related and population-specific approaches for the care of children living with or affected by HIV/AIDS.

SOCIAL STABILITY AND HIV RISK BEHAVIOR: EVALUATING THE ROLE OF ACCUMULATED VULNERABILITY

Science.gov (United States)

German, Danielle; Latkin, Carl A.

2011-01-01

This study evaluated a cumulative and syndromic relationship among commonly co-occurring vulnerabilites (homelessness, incarceration, low-income, residential transition) in association with HIV-related risk behaviors among 635 low-income women in Baltimore. Analysis included descriptive statistics, logistic regression, latent class analysis and latent class regression. Both methods of assessing multidimensional instability showed significant associations with risk indicators. Risk of multiple partners, sex exchange, and drug use decreased significantly with each additional domain. Higher stability class membership (77%) was associated with decreased likelihood of multiple partners, exchange partners, recent drug use, and recent STI. Multidimensional social vulnerabilities were cumulatively and synergistically linked to HIV risk behavior. Independent instability measures may miss important contextual determinants of risk. Social stability offers a useful framework to understand the synergy of social vulnerabilities that shape sexual risk behavior. Social policies and programs aiming to enhance housing and overall social stability are likely to be beneficial for HIV prevention. PMID:21259043

Sensitivity Analysis of DRASTIC Model in Vulnerability Assessment of Shahrood Alluvial Aquifer

Directory of Open Access Journals (Sweden)

Shadi Abolhasan Almasi

2017-07-01

Full Text Available Groundwater vulnerability assessment is typically accomplished as a management tool to protect groundwater resources. In this research, the DRASTIC model which is an empirical one used for evaluating the potential of an aquifer for pollution was employed to evaluate the vulnerability of Shahrood alluvial aquifer. Moreover, the sensitivity of the model paramneters was assessed to identify the ones with greatest effect on vulnerability. The model layers including depth to groundwater table level, recharge, aquifer media, topography, impact of unsaturated zone, and hydraulic conductivity were prepared and classified in the ArcGIS software based on analyses of both the available data and the layer of surface soil texture using Aster satellite images. Once the vulnerability index was calculated, the sensitivity map of Shahroud aquifer vulnerability was analyzed using the two parameter removal and single parameter sensitivity methods. These were further verified by textural analysis of soil samples from different parts of the region. The layers with appropriate weights were overlaid and the DRASTIC index of the aquifer was estimated at 28 to 148. The highest vulnerability was detected in the northern margins and southwestern parts of the aquifer while other parts were characterized by medium to low vulnerability. The low nitrogen concentration observed in the farm areas and its rise to 45 mg/l in the northern stretches of the aquifer bear witness to the accuracy of the zoning rendered by the DRASTIC model. Based on the vulnerability map of Sharoud aquifer, it was found that 1.6% of the aquifer’s area has a very high vulnerability or potential for pollution followed by 10%, 28.8%, and 18.9% of the area were identified as having high, medium and low potentials for pollution, respecytively. The remaining (i.e., 40.5% was found to have no risk of pollution.

Spatial analysis and modeling to assess and map current vulnerability to extreme weather events in the Grijalva - Usumacinta watershed, Mexico

International Nuclear Information System (INIS)

Lopez L, D

2009-01-01

One of the major concerns over a potential change in climate is that it will cause an increase in extreme weather events. In Mexico, the exposure factors as well as the vulnerability to the extreme weather events have increased during the last three or four decades. In this study spatial analysis and modeling were used to assess and map settlement and crop systems vulnerability to extreme weather events in the Grijalva - Usumacinta watershed. Sensitivity and coping adaptive capacity maps were constructed using decision models; these maps were then combined to produce vulnerability maps. The most vulnerable area in terms of both settlement and crop systems is the highlands, where the sensitivity is high and the adaptive capacity is low. In lowlands, despite the very high sensitivity, the higher adaptive capacity produces only moderate vulnerability. I conclude that spatial analysis and modeling are powerful tools to assess and map vulnerability. These preliminary results can guide the formulation of adaptation policies to an increasing risk of extreme weather events.

Spatial analysis and modeling to assess and map current vulnerability to extreme weather events in the Grijalva - Usumacinta watershed, Mexico

Energy Technology Data Exchange (ETDEWEB)

Lopez L, D, E-mail: dlopez@centrogeo.org.m [Centro de Investigacion en GeografIa y Geomatica, Ing. Jorge L. Tamayo A.C., Contoy 137, col. Lomas de Padierna, del Tlalpan, Maxico D.F (Mexico)

2009-11-01

One of the major concerns over a potential change in climate is that it will cause an increase in extreme weather events. In Mexico, the exposure factors as well as the vulnerability to the extreme weather events have increased during the last three or four decades. In this study spatial analysis and modeling were used to assess and map settlement and crop systems vulnerability to extreme weather events in the Grijalva - Usumacinta watershed. Sensitivity and coping adaptive capacity maps were constructed using decision models; these maps were then combined to produce vulnerability maps. The most vulnerable area in terms of both settlement and crop systems is the highlands, where the sensitivity is high and the adaptive capacity is low. In lowlands, despite the very high sensitivity, the higher adaptive capacity produces only moderate vulnerability. I conclude that spatial analysis and modeling are powerful tools to assess and map vulnerability. These preliminary results can guide the formulation of adaptation policies to an increasing risk of extreme weather events.

Analysis of the Hazard, Vulnerability, and Exposure to the Risk of Flooding (Alba de Yeltes, Salamanca, Spain

Directory of Open Access Journals (Sweden)

Sergio Veleda

2017-02-01

Full Text Available The present work has developed a method using GIS technology to evaluate the danger, vulnerability, and exposure to the risk of flooding in the Alba de Yeltes area (Salamanca, Spain. It is a non-structural measure for the prevention and mitigation of the risk of extraordinary flooding. After completing a full analysis of the physical environment (climate, geology, geomorphology, hydrology, hydrogeology, and land use, hydrological-hydraulic modeling was carried out using the GeoHecRas river analysis software. The results obtained from the analysis and the models have generated a danger map that facilitates the efficient evaluation of the spatial distribution of the different severity parameters (depth of the watersheet, current flow rate, and flood-prone areas. Also, map algebra and the databases associated with GIS tools, together with the vulnerability and exposure cartography, have allowed the risk to be analyzed in an integrate manner and the production of an environmental diagnostic map. The results of this study propose that there are inhabited areas close to the Yeltes-Morasverdes riverbed that have a high risk of flooding, indicating the need for proper land planning and the implementation of a series of measures that will help to reduce the risk of flooding and its impact.

The SAVI vulnerability assessment model

International Nuclear Information System (INIS)

Winblad, A.E.

1987-01-01

The assessment model ''Systematic Analysis of Vulnerability to Intrusion'' (SAVI) presented in this report is a PC-based path analysis model. It can provide estimates of protection system effectiveness (or vulnerability) against a spectrum of outsider threats including collusion with an insider adversary. It calculates one measure of system effectiveness, the probability of interruption P(I), for all potential adversary paths. SAVI can perform both theft and sabotage vulnerability analyses. For theft, the analysis is based on the assumption that adversaries should be interrupted either before they can accomplish removal of the target material from its normal location or removal from the site boundary. For sabotage, the analysis is based on the assumption that adversaries should be interrupted before completion of their sabotage task

Development of information security and vulnerability risk management system for J-PARC

International Nuclear Information System (INIS)

Ishikawa, Hiroyuki; Tate, Akihiro; Murakami, Tadashi

2012-02-01

In J-PARC (Japan Proton Accelerator Research Complex) we have set up intra-network (internal network, we will abbreviate it as JLAN, below) to support research activity and communication among users. In JLAN, we set up various kinds of security devices to keep JLAN secure. However, the servers which provide information or service to public are still in danger of being accessed illegally. If there is an illegal access, that may cause defacement of data or information leak. Furthermore, the victim servers are manipulated by the malicious attackers, and they themselves attack the external information equipments. Vulnerability of servers enables unauthorized access. So, vulnerability test with use of a vulnerability tool is one of the most effective ways to take measures for vulnerability of the equipments. However, it is not enough to just conduct a vulnerability test. It is also essential for information security to take measures to cover constantly for the vulnerability of servers. We focused on the points above, and developed the vulnerability testing system for security. It is not only a testing tool for the vulnerability of servers, but also management system which enables the server administrators in charge of taking measures for vulnerabilities to manage risks and handles PDCA (Plan-Do-Check-Action) cycles as countermeasure for vulnerability. In this paper, we report the technologies and ingenuities for the development of the above system. (author)

Spatial Variability of Geriatric Depression Risk in a High-Density City: A Data-Driven Socio-Environmental Vulnerability Mapping Approach.

Science.gov (United States)

Ho, Hung Chak; Lau, Kevin Ka-Lun; Yu, Ruby; Wang, Dan; Woo, Jean; Kwok, Timothy Chi Yui; Ng, Edward

2017-08-31

Previous studies found a relationship between geriatric depression and social deprivation. However, most studies did not include environmental factors in the statistical models, introducing a bias to estimate geriatric depression risk because the urban environment was found to have significant associations with mental health. We developed a cross-sectional study with a binomial logistic regression to examine the geriatric depression risk of a high-density city based on five social vulnerability factors and four environmental measures. We constructed a socio-environmental vulnerability index by including the significant variables to map the geriatric depression risk in Hong Kong, a high-density city characterized by compact urban environment and high-rise buildings. Crude and adjusted odds ratios (ORs) of the variables were significantly different, indicating that both social and environmental variables should be included as confounding factors. For the comprehensive model controlled by all confounding factors, older adults who were of lower education had the highest geriatric depression risks (OR: 1.60 (1.21, 2.12)). Higher percentage of residential area and greater variation in building height within the neighborhood also contributed to geriatric depression risk in Hong Kong, while average building height had negative association with geriatric depression risk. In addition, the socio-environmental vulnerability index showed that higher scores were associated with higher geriatric depression risk at neighborhood scale. The results of mapping and cross-section model suggested that geriatric depression risk was associated with a compact living environment with low socio-economic conditions in historical urban areas in Hong Kong. In conclusion, our study found a significant difference in geriatric depression risk between unadjusted and adjusted models, suggesting the importance of including environmental factors in estimating geriatric depression risk. We also

Vulnerability on the streets: female sex workers and HIV risk.

Science.gov (United States)

Pyett, P M; Warr, D J

1997-10-01

In-depth interviews were conducted with 24 purposively selected female sex workers who were perceived to be vulnerable to risks associated with their lifestyle and occupation. Brothel workers were found to be considerably less exposed to risk than the women working on the streets. Client resistance was the major obstacle to women maintaining safe sex practices. Physical threats and coercion from clients, the absence of legal protection for street workers, the workers' extreme social isolation and lack of community support added to the difficulties experienced by women in their attempts to insist on condoms for all sex services. Youth, homelessness and heavy drug use had contributed to women being at times even more vulnerable because they had less capacity to manage situations of potential violence or STD risk. Whether through sex work or in their private relationships, HIV remains a risk for some of these women. This study highlights the dangers associated with illegal sex work. While decriminalization of prostitution would reduce some of the dangers to which women were exposed and increase women's capacity to insist on safe sex practices, it is also important for community education programmes to address men's failure to accept responsibility for condom use when seeking the services of sex workers.

Where Lies the Risk? An Ecological Approach to Understanding Child Mental Health Risk and Vulnerabilities in Sub-Saharan Africa

OpenAIRE

Atilola, Olayinka

2014-01-01

Efforts at improving child-health and development initiatives in sub-Saharan Africa had focused on the physical health of children due to the neglect of child and adolescent mental health (CAMH) policy initiatives. A thorough and broad-based understanding of the prevalent child mental-health risk and vulnerability factors is needed to successfully articulate CAMH policies. In this discourse, we present a narrative on the child mental-health risk and vulnerability factors in sub-Saharan Africa...

Advanced methods for the risk, vulnerability and resilience assessment of safety-critical engineering components, systems and infrastructures, in the presence of uncertainties

International Nuclear Information System (INIS)

Pedroni, Nicolas

2016-01-01

Safety-critical industrial installations (e.g., nuclear plants) and infrastructures (e.g., power transmission networks) are complex systems composed by a multitude and variety of heterogeneous 'elements', which are highly interconnected and mutually dependent. In addition, such systems are affected by large uncertainties in the characterization of the failure and recovery behavior of their components, interconnections and interactions. Such characteristics raise concerns with respect to the system risk, vulnerability and resilience properties, which have to be accurately and precisely assessed for decision making purposes. In general, this entails the following main steps: (1) representation of the system to capture its main features; (2) construction of a mathematical model of the system; (3) simulation of the behavior of the system under various uncertain conditions to evaluate the relevant risk, vulnerability and resilience metrics by propagating the uncertainties through the mathematical model; (4) decision making to (optimally) determine the set of protective actions to effectively reduce (resp., increase) the system risk and vulnerability (resp., resilience). New methods to address these issues have been developed in this dissertation. Specifically, the research works have been carried out along two main axes: (1) the study of approaches for uncertainty modeling and quantification; (2) the development of advanced computational methods for the efficient system modeling, simulation and analysis in the presence of uncertainties. (author)

Proposing a Universal Framework for Resilience: Optimizing Risk and Combating Human Vulnerabilities

Science.gov (United States)

Sarkar, Arunima

2017-04-01

strengthen and optimize the decision making skill and platform for a better sustainable society. The resilience framework provides a cross-sector and multi-level analysis to tackle the vulnerabilities which can be caused to essential utilities like power, water, transport and various machineries that are essential for human sustainability. The direction of resilience framework focuses on prevention of damage and disruption of disaster, mitigate the loss caused to human society and provide the best response for disaster resilience. Thus, the basic pillars which are important for the implementation of resilience is proper governance framework and transparency which takes into account various cost and risk analysis. Thus a common and universal framework for resilience is the main requirement for mass accessibility. The aim of resilience framework focuses on universal adaptability, coherence and validation. A mixed method analysis has been undertaken in this research paper which focuses on the following issues: • Legal, Institutional and community framework for integrating resilience framework of global north and global south. • Spatial as well as statistical analysis to structuralize disaster risk and resilient framework for disaster management. • Early warning system and emergency response in a comparative scale to analyse the various models of risk and resilience framework implemented in USA, China, Nepal and India for proposing an integrated resilience strategy.

Vulnerability and risk evaluation of agricultural nitrogen pollution for Hungary's main aquifer using DRASTIC and GLEAMS models.

Science.gov (United States)

Leone, A; Ripa, M N; Uricchio, V; Deák, J; Vargay, Z

2009-07-01

, above all regarding the DRASTIC evaluation method, which is shown to satisfactorily explain both low and high aquifer vulnerability, and furthermore proves to be a good tool for zoning hydrogeological regions in terms of natural system susceptibility to pollution. The GLEAMS model, however, proves not to be immediately usable for predictions, above all due to the difficulty in finding sufficient data for the input parameters. It remains a good tool, but only after an accurate validation, for decision support systems, in the specific case to integrate intrinsic vulnerability, from DRASTIC (or similar methods), with land use nitrate loads from GLEAMS, or similar methods. The PECO project has proved a positive experience to highlight the fundamental points of a decision support system, aimed to mitigate the nitrate risk for groundwater coming from Hungarian agricultural areas.

Land Use Management by Assessing Aquifer Vulnerability in Khovayes Plain Using the DRASTIC and SINTACS Models

Directory of Open Access Journals (Sweden)

Fatemeh Mousavi

2016-07-01

Full Text Available Land use change is a gradual process that entails dire consequences for groundwater quality and quantity. Quantitative changes in groundwater can be usually monitored by controlling the annual groundwater balance. Monitoring qualitative changes in groundwater, however, is both time-consuming and expensive. DRASTIC and SINTACS models exploit aquifer properties to predict its vulnerability. In this study, aquifer vulnerability assessment was performed by the DRASTIC & SINTACS models for future land use management in Khovayes, southwest Iran. The DRASTIC Model is based on hydrological and hydrogeological parameters involved in contaminant transport. SINTACS parameters are the same as those of the DRASTIC model, except that weighting and ranking the parameters are more flexible. Once vulnerability maps of the study region had been prepared, they were verified against the nitrate map. A correlation coefficient of 0.4 was obtained between the DRASTIC map and the nitrate one while the correlation between the SINTACS and the nitrate maps was found to be 0.8. Map removal and single-parameter sensitivity analyses were carried out, which showed the southwestern stretches of the study area as the region with the highest risk of vulnerability.

Helping air quality managers identify vulnerable communities

CSIR Research Space (South Africa)

Wright, C

2008-10-01

Full Text Available population exposure and vulnerability risk prioritisation model is proposed for potential use by air quality managers in conjunction with their air quality management plans. The model includes factors such as vulnerability caused by poverty, respiratory...

Spatial Modelling of Urban Physical Vulnerability to Explosion Hazards Using GIS and Fuzzy MCDA

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Yasser Ebrahimian Ghajari

2017-07-01

Full Text Available Most of the world’s population is concentrated in accumulated spaces in the form of cities, making the concept of urban planning a significant issue for consideration by decision makers. Urban vulnerability is a major issue which arises in urban management, and is simply defined as how vulnerable various structures in a city are to different hazards. Reducing urban vulnerability and enhancing resilience are considered to be essential steps towards achieving urban sustainability. To date, a vast body of literature has focused on investigating urban systems’ vulnerabilities with regard to natural hazards. However, less attention has been paid to vulnerabilities resulting from man-made hazards. This study proposes to investigate the physical vulnerability of buildings in District 6 of Tehran, Iran, with respect to intentional explosion hazards. A total of 14 vulnerability criteria are identified according to the opinions of various experts, and standard maps for each of these criteria have been generated in a GIS environment. Ultimately, an ordered weighted averaging (OWA technique was applied to generate vulnerability maps for different risk conditions. The results of the present study indicate that only about 25 percent of buildings in the study area have a low level of vulnerability under moderate risk conditions. Sensitivity analysis further illustrates the robustness of the results obtained. Finally, the paper concludes by arguing that local authorities must focus more on risk-reduction techniques in order to reduce physical vulnerability and achieve urban sustainability.

Modelling social vulnerability in sub-Saharan West Africa using a geographical information system

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Olanrewaju Lawal

2015-05-01

Full Text Available In recent times, disasters and risk management have gained significant attention, especially with increasing awareness of the risks and increasing impact of natural and other hazards especially in the developing world. Vulnerability, the potential for loss of life or property from disaster, has biophysical or social dimensions. Social vulnerability relates to societal attributes which has negative impacts on disaster outcomes. This study sought to develop a spatially explicit index of social vulnerability, thus addressing the dearth of research in this area in sub-Saharan Africa. Nineteen variables were identified covering various aspects. Descriptive analysis of these variables revealed high heterogeneity across the South West region of Nigeria for both the state and the local government areas (LGAs. Feature identification using correlation analysis identified six important variables. Factor analysis identified two dimensions, namely accessibility and socioeconomic conditions, from this subset. A social vulnerability index (SoVI showed that Ondo and Ekiti have more vulnerable LGAs than other states in the region. About 50% of the LGAs in Osun and Ogun have a relatively low social vulnerability. Distribution of the SoVI shows that there are great differences within states as well as across regions. Scores of population density, disability and poverty have a high margin of error in relation to mean state scores. The study showed that with a geographical information system there are opportunities to model social vulnerability and monitor its evolution and dynamics across the continent.

Comparisons of complex network based models and real train flow model to analyze Chinese railway vulnerability

International Nuclear Information System (INIS)

Ouyang, Min; Zhao, Lijing; Hong, Liu; Pan, Zhezhe

2014-01-01

Recently numerous studies have applied complex network based models to study the performance and vulnerability of infrastructure systems under various types of attacks and hazards. But how effective are these models to capture their real performance response is still a question worthy of research. Taking the Chinese railway system as an example, this paper selects three typical complex network based models, including purely topological model (PTM), purely shortest path model (PSPM), and weight (link length) based shortest path model (WBSPM), to analyze railway accessibility and flow-based vulnerability and compare their results with those from the real train flow model (RTFM). The results show that the WBSPM can produce the train routines with 83% stations and 77% railway links identical to the real routines and can approach the RTFM the best for railway vulnerability under both single and multiple component failures. The correlation coefficient for accessibility vulnerability from WBSPM and RTFM under single station failures is 0.96 while it is 0.92 for flow-based vulnerability; under multiple station failures, where each station has the same failure probability fp, the WBSPM can produce almost identical vulnerability results with those from the RTFM under almost all failures scenarios when fp is larger than 0.62 for accessibility vulnerability and 0.86 for flow-based vulnerability

Urban Vulnerability and Climate Change in Africa

DEFF Research Database (Denmark)

Urbanisation and climate change are among the major challenges for sustainable development in Africa. The overall aim of this book is to present innovative approaches to vulnerability analysis and for enhancing the resilience of African cities against climate change-induced risks. Locally adapted...... explores the role of governance in successfully coping with climate-induced risks in urban areas. The book is unique in that it combines: a top-down perspective of climate change modeling with a bottom-up perspective of vulnerability assessment; quantitative approaches from engineering sciences...

A test of the vulnerability model: temperament and temperament change as predictors of future mental disorders - the TRAILS study.

Science.gov (United States)

Laceulle, Odilia M; Ormel, Johan; Vollebergh, Wilma A M; van Aken, Marcel A G; Nederhof, Esther

2014-03-01

This study aimed to test the vulnerability model of the relationship between temperament and mental disorders using a large sample of adolescents from the TRacking Adolescents Individual Lives' Survey (TRAILS). The vulnerability model argues that particular temperaments can place individuals at risk for the development of mental health problems. Importantly, the model may imply that not only baseline temperament predicts mental health problems prospectively, but additionally, that changes in temperament predict corresponding changes in risk for mental health problems. Data were used from 1195 TRAILS participants. Adolescent temperament was assessed both at age 11 and at age 16. Onset of mental disorders between age 16 and 19 was assessed at age 19, by means of the World Health Organization Composite International Diagnostic Interview (WHO CIDI). Results showed that temperament at age 11 predicted future mental disorders, thereby providing support for the vulnerability model. Moreover, temperament change predicted future mental disorders above and beyond the effect of basal temperament. For example, an increase in frustration increased the risk of mental disorders proportionally. This study confirms, and extends, the vulnerability model. Consequences of both temperament and temperament change were general (e.g., changes in frustration predicted both internalizing and externalizing disorders) as well as dimension specific (e.g., changes in fear predicted internalizing but not externalizing disorders). These findings confirm previous studies, which showed that mental disorders have both unique and shared underlying temperamental risk factors. © 2013 The Authors. Journal of Child Psychology and Psychiatry © 2013 Association for Child and Adolescent Mental Health.

Factors influencing the vulnerability of women to the risk of HIV ...

African Journals Online (AJOL)

Factors influencing the vulnerability of women to the risk of HIV-infection in rural villages in North West Province, South Africa. ... Gender and Behaviour ... This particular study found that there are a number of personal, proximal and distal factors that influence the vulnerability of women to HIV-infection in rural villages in ...

Can Regional Climate Models be used in the assessment of vulnerability and risk caused by extreme events?

Science.gov (United States)

Nunes, Ana

2015-04-01

Extreme meteorological events played an important role in catastrophic occurrences observed in the past over densely populated areas in Brazil. This motived the proposal of an integrated system for analysis and assessment of vulnerability and risk caused by extreme events in urban areas that are particularly affected by complex topography. That requires a multi-scale approach, which is centered on a regional modeling system, consisting of a regional (spectral) climate model coupled to a land-surface scheme. This regional modeling system employs a boundary forcing method based on scale-selective bias correction and assimilation of satellite-based precipitation estimates. Scale-selective bias correction is a method similar to the spectral nudging technique for dynamical downscaling that allows internal modes to develop in agreement with the large-scale features, while the precipitation assimilation procedure improves the modeled deep-convection and drives the land-surface scheme variables. Here, the scale-selective bias correction acts only on the rotational part of the wind field, letting the precipitation assimilation procedure to correct moisture convergence, in order to reconstruct South American current climate within the South American Hydroclimate Reconstruction Project. The hydroclimate reconstruction outputs might eventually produce improved initial conditions for high-resolution numerical integrations in metropolitan regions, generating more reliable short-term precipitation predictions, and providing accurate hidrometeorological variables to higher resolution geomorphological models. Better representation of deep-convection from intermediate scales is relevant when the resolution of the regional modeling system is refined by any method to meet the scale of geomorphological dynamic models of stability and mass movement, assisting in the assessment of risk areas and estimation of terrain stability over complex topography. The reconstruction of past extreme

A Comparative Analysis of Disaster Risk, Vulnerability and Resilience Composite Indicators.

Science.gov (United States)

Beccari, Benjamin

2016-03-14

In the past decade significant attention has been given to the development of tools that attempt to measure the vulnerability, risk or resilience of communities to disasters. Particular attention has been given to the development of composite indices to quantify these concepts mirroring their deployment in other fields such as sustainable development. Whilst some authors have published reviews of disaster vulnerability, risk and resilience composite indicator methodologies, these have been of a limited nature. This paper seeks to dramatically expand these efforts by analysing 106 composite indicator methodologies to understand the breadth and depth of practice. An extensive search of the academic and grey literature was undertaken for composite indicator and scorecard methodologies that addressed multiple/all hazards; included social and economic aspects of risk, vulnerability or resilience; were sub-national in scope; explained the method and variables used; focussed on the present-day; and, had been tested or implemented. Information on the index construction, geographic areas of application, variables used and other relevant data was collected and analysed. Substantial variety in construction practices of composite indicators of risk, vulnerability and resilience were found. Five key approaches were identified in the literature, with the use of hierarchical or deductive indices being the most common. Typically variables were chosen by experts, came from existing statistical datasets and were combined by simple addition with equal weights. A minimum of 2 variables and a maximum of 235 were used, although approximately two thirds of methodologies used less than 40 variables. The 106 methodologies used 2298 unique variables, the most frequently used being common statistical variables such as population density and unemployment rate. Classification of variables found that on average 34% of the variables used in each methodology related to the social environment, 25

Activity and vulnerability: what family arrangements are at risk?

Directory of Open Access Journals (Sweden)

Lena Lavinas

Full Text Available The purpose of this article is to compare different family models according to the typology proposed by the IBGE (Brazilian Institute of Geography and Statistics, or National Census Bureau, to verify whether families headed by women really represent the most vulnerable or "at-risk" family arrangement. The latter is the commonsense notion that legitimizes the framework of feminization of poverty, in vogue in the last two decades and with considerable impact on the design of anti-poverty social policies. The current empirical study disaggregates the employment data (employment rate, mean wages, workweek not only by gender (identifying differences between men and women, but also breaking down the data for women, comparing the situation of women heads-of-families versus wives. In terms of women's full participation in the work market, the effect of conjugality is even more harmful than motherhood (presence of children.

The Function of Vulnerable and at-risk Women in Prevention of HIV/AIDS

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AA Kolahi

2012-07-01

Full Text Available

Background and Objectives: Regarding little information about sexual behavior of vulnerable women to AIDS, mentioned in the second report of Ministry of Health and Medical Education (2006, this study has been conducted to determine the function of vulnerable and at-risk women to AIDS in Tehran in 2009.

Methods: This descriptive study was done on 128 vulnerable and at-risk women who participated in this study in Tehran in 2009. The samples were a combination of available visitor passed to Drop-in Centers, behavioral or triangular clinic and those who were introduced by participant women through Respondent Driven Sampling. Data were collected by trained interviewers. Quantitative and qualitative descriptive statistics was reported as numbers, percentages, and, also, Mean and Standard deviation respectively. Analytical findings and determination of differentiations and correlation were evaluated based on Chi-squared test.

Results: In this study only 22 (17.2% of participants mentioned that they have always used condom. Partner unwillingness was the most common reason (64% for not using condom. Twenty-four percent of participants have received free condom from triangular, Drop-in and health centers in the last year. Only 32(25% had done HIV test.

Conclusion: The study showed the function of at-risk women in prevention of HIV/AIDS is not satisfactory. If the situation continues in this way, vulnerable women and society will be at more risk.

“Is it Safe?” Risk Perception and Drinking Water in a Vulnerable Population

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Nicholas Spence

2012-11-01

Full Text Available Access to safe drinking water is a pressing social policy issue globally. Despite the milestones reached in this area of Canadian public health, marginalized and vulnerable populations, including those founded on racialized identity, such as First Nations, continue to be plagued by accessibility issues. This work sheds new perspective on the issue, arguing for a research and policy focus that is inclusive of risk perception. A model of risk perception of drinking water is developed and tested for First Nations on reserve in Canada using the 2001 Aboriginal Peoples Survey. It is shown that the analytical use of racialized identity advances understanding of risk perception and the environment (water. Moreover, a large degree of heterogeneity within the First Nation population across a number of social determinants of risk perception illustrates the shortcomings of framing the issue in a simplistic manner (First Nation population versus general population. Implications for risk research, including risk communication & management, and policy are provided.

Extreme vulnerability of smallholder farmers to agricultural risks and climate change in Madagascar.

Science.gov (United States)

Harvey, Celia A; Rakotobe, Zo Lalaina; Rao, Nalini S; Dave, Radhika; Razafimahatratra, Hery; Rabarijohn, Rivo Hasinandrianina; Rajaofara, Haingo; Mackinnon, James L

2014-04-05

Across the tropics, smallholder farmers already face numerous risks to agricultural production. Climate change is expected to disproportionately affect smallholder farmers and make their livelihoods even more precarious; however, there is limited information on their overall vulnerability and adaptation needs. We conducted surveys of 600 households in Madagascar to characterize the vulnerability of smallholder farmers, identify how farmers cope with risks and explore what strategies are needed to help them adapt to climate change. Malagasy farmers are particularly vulnerable to any shocks to their agricultural system owing to their high dependence on agriculture for their livelihoods, chronic food insecurity, physical isolation and lack of access to formal safety nets. Farmers are frequently exposed to pest and disease outbreaks and extreme weather events (particularly cyclones), which cause significant crop and income losses and exacerbate food insecurity. Although farmers use a variety of risk-coping strategies, these are insufficient to prevent them from remaining food insecure. Few farmers have adjusted their farming strategies in response to climate change, owing to limited resources and capacity. Urgent technical, financial and institutional support is needed to improve the agricultural production and food security of Malagasy farmers and make their livelihoods resilient to climate change.

Spatial Variability of Geriatric Depression Risk in a High-Density City: A Data-Driven Socio-Environmental Vulnerability Mapping Approach

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Hung Chak Ho

2017-08-01

Full Text Available Previous studies found a relationship between geriatric depression and social deprivation. However, most studies did not include environmental factors in the statistical models, introducing a bias to estimate geriatric depression risk because the urban environment was found to have significant associations with mental health. We developed a cross-sectional study with a binomial logistic regression to examine the geriatric depression risk of a high-density city based on five social vulnerability factors and four environmental measures. We constructed a socio-environmental vulnerability index by including the significant variables to map the geriatric depression risk in Hong Kong, a high-density city characterized by compact urban environment and high-rise buildings. Crude and adjusted odds ratios (ORs of the variables were significantly different, indicating that both social and environmental variables should be included as confounding factors. For the comprehensive model controlled by all confounding factors, older adults who were of lower education had the highest geriatric depression risks (OR: 1.60 (1.21, 2.12. Higher percentage of residential area and greater variation in building height within the neighborhood also contributed to geriatric depression risk in Hong Kong, while average building height had negative association with geriatric depression risk. In addition, the socio-environmental vulnerability index showed that higher scores were associated with higher geriatric depression risk at neighborhood scale. The results of mapping and cross-section model suggested that geriatric depression risk was associated with a compact living environment with low socio-economic conditions in historical urban areas in Hong Kong. In conclusion, our study found a significant difference in geriatric depression risk between unadjusted and adjusted models, suggesting the importance of including environmental factors in estimating geriatric depression risk

RECOGNIZING THE VULNERABILITY OF GENERATION Z TO ECONOMIC AND SOCIAL RISKS

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Blagica Novkovska

2018-06-01

Full Text Available Generation Z, known also as “Net generation” and “Digital natives”, is of particular interest for researchers do to its specifics originating from the changes caused in the everyday’s live by the new technologies. This cohort is known to be highly vulnerable to several economic and social risks, depending on the characteristics of the society where they live. In this paper the socio-economic situation of youth in some small countries with different level of development is studied. Particular importance is paid to the criminality as a risk factor for Generation Z. The case of Macedonia has been studied in details, using the relevant data for the period from 2007 to 2016. Based on the use of a multivariate linear regression model it has been found that the criminality is strongly related to the size of NEET (part of the cohort that is Not in Education, Employment or Training.

Perceived vulnerability moderates the relations between the use of protective behavioral strategies and alcohol use and consequences among high-risk young adults.

Science.gov (United States)

Garcia, Tracey A; Fairlie, Anne M; Litt, Dana M; Waldron, Katja A; Lewis, Melissa A

2018-06-01

Drinking protective behavioral strategies (PBS) have been associated with reductions in alcohol use and alcohol-related consequences in young adults. PBS subscales, Limiting/Stopping (LS), Manner of Drinking (MOD), and Serious Harm Reduction (SHR), have been examined in the literature; LS, MOD, and SHR have mixed support as protective factors. Understanding moderators between PBS and alcohol use and related consequences is an important development in PBS research in order to delineate when and for whom PBS use is effective in reducing harm from alcohol use. Perceptions of vulnerability to negative consequences, included in health-risk models, may be one such moderator. The current study examined whether two types of perceived vulnerability (perceived vulnerability when drinking; perceived vulnerability in uncomfortable/unfamiliar situations) moderated the relations between LS, MOD, SHR strategies and alcohol use and related negative consequences. High-risk young adults (N = 400; 53.75% female) recruited nationally completed measures of PBS, alcohol use and related consequences, and measures of perceived vulnerability. Findings demonstrated that perceived vulnerability when drinking moderated the relations between MOD strategies and alcohol use. The interactions between perceived vulnerability when drinking and PBS did not predict alcohol-related consequences. Perceived vulnerability in unfamiliar/uncomfortable social situations moderated relations between MOD strategies and both alcohol use and related negative consequences; no other significant interactions emerged. Across both perceived vulnerability types and MOD strategies, those with the highest levels of perceived vulnerability and who used MOD strategies the most had the greatest decrements in alcohol use and related negative consequences. Prevention and intervention implications are discussed. Copyright © 2018. Published by Elsevier Ltd.

Vulnerability and fragility risk indices for non-renewable resources.

Science.gov (United States)

Miller, Anne E; Steele, Nicholas; Tobin, Benjamin W

2018-06-02

Protected areas are tasked with mitigating impacts to a wide range of invaluable resources. These resources are often subject to a variety of potential natural and anthropogenic impacts that require monitoring efforts and management actions to minimize the degradation of these resources. However, due to insufficient funding and staff, managers often have to prioritize efforts, leaving some resources at higher risk to impact. Attempts to address this issue have resulted in numerous qualitative and semi-quantitative frameworks for prioritization based on resource vulnerability. Here, we add to those methods by modifying an internationally standardized vulnerability framework, quantify both resource vulnerability, susceptibility to human disturbance, and fragility, susceptibility to natural disturbance. This modified framework quantifies impacts through a six-step process: identifying the resource and management objectives, identifying exposure and sensitivity indicators, define scoring criteria for each indicator, collect and compile data, calculate indices, and prioritize sites for mitigations. We applied this methodology to two resource types in Grand Canyon National Park (GRCA): caves and fossil sites. Three hundred sixty-five cave sites and 127 fossil sites in GRCA were used for this analysis. The majority of cave and fossil sites scored moderate to low vulnerability (0-6 out of 10 points) and moderate to low fragility for fossils. The percentage of sites that fell in the high-priority range was 5.5% for fossils and 21.9% for caves. These results are consistent with the known state of these resources and the results present a tool for managers to utilize to prioritize monitoring and management needs.

Comprehensive Assessment and Zonation of Drought Risk and Vulnerability in Kerman Province

Directory of Open Access Journals (Sweden)

Gholamreza Khademipour

2018-01-01

Conclusion: The measures to reduce the vulnerability in social, economic, ecologic, and health areas not only lower the risk in the drought-affected areas, but also prevent secondary damages like immigration, marginalization, and social, cultural problems in large and capital cities of the province. 

Understanding comorbidity among internalizing problems: Integrating latent structural models of psychopathology and risk mechanisms

Science.gov (United States)

Hankin, Benjamin L.; Snyder, Hannah R.; Gulley, Lauren D.; Schweizer, Tina H.; Bijttebier, Patricia; Nelis, Sabine; Toh, Gim; Vasey, Michael W.

2016-01-01

It is well known that comorbidity is the rule, not the exception, for categorically defined psychiatric disorders, and this is also the case for internalizing disorders of depression and anxiety. This theoretical review paper addresses the ubiquity of comorbidity among internalizing disorders. Our central thesis is that progress in understanding this co-occurrence can be made by employing latent dimensional structural models that organize both psychopathology as well as vulnerabilities and risk mechanisms and by connecting the multiple levels of risk and psychopathology outcomes together. Different vulnerabilities and risk mechanisms are hypothesized to predict different levels of the structural model of psychopathology. We review the present state of knowledge based on concurrent and developmental sequential comorbidity patterns among common discrete psychiatric disorders in youth, and then we advocate for the use of more recent bifactor dimensional models of psychopathology (e.g., p factor, Caspi et al., 2014) that can help to explain the co-occurrence among internalizing symptoms. In support of this relatively novel conceptual perspective, we review six exemplar vulnerabilities and risk mechanisms, including executive function, information processing biases, cognitive vulnerabilities, positive and negative affectivity aspects of temperament, and autonomic dysregulation, along with the developmental occurrence of stressors in different domains, to show how these vulnerabilities can predict the general latent psychopathology factor, a unique latent internalizing dimension, as well as specific symptom syndrome manifestations. PMID:27739389

The Global Earthquake Model and Disaster Risk Reduction

Science.gov (United States)

Smolka, A. J.

2015-12-01

Advanced, reliable and transparent tools and data to assess earthquake risk are inaccessible to most, especially in less developed regions of the world while few, if any, globally accepted standards currently allow a meaningful comparison of risk between places. The Global Earthquake Model (GEM) is a collaborative effort that aims to provide models, datasets and state-of-the-art tools for transparent assessment of earthquake hazard and risk. As part of this goal, GEM and its global network of collaborators have developed the OpenQuake engine (an open-source software for hazard and risk calculations), the OpenQuake platform (a web-based portal making GEM's resources and datasets freely available to all potential users), and a suite of tools to support modelers and other experts in the development of hazard, exposure and vulnerability models. These resources are being used extensively across the world in hazard and risk assessment, from individual practitioners to local and national institutions, and in regional projects to inform disaster risk reduction. Practical examples for how GEM is bridging the gap between science and disaster risk reduction are: - Several countries including Switzerland, Turkey, Italy, Ecuador, Papua-New Guinea and Taiwan (with more to follow) are computing national seismic hazard using the OpenQuake-engine. In some cases these results are used for the definition of actions in building codes. - Technical support, tools and data for the development of hazard, exposure, vulnerability and risk models for regional projects in South America and Sub-Saharan Africa. - Going beyond physical risk, GEM's scorecard approach evaluates local resilience by bringing together neighborhood/community leaders and the risk reduction community as a basis for designing risk reduction programs at various levels of geography. Actual case studies are Lalitpur in the Kathmandu Valley in Nepal and Quito/Ecuador. In agreement with GEM's collaborative approach, all

A rainfall risk analysis thanks to an GIS based estimation of urban vulnerability

Science.gov (United States)

Renard, Florent; Pierre-Marie, Chapon

2010-05-01

heavy rains, to locate areas of risk in the urban area. The targets that share the same rank of this vulnerability index do not possess the same importance, or the same sensitivity to the flood hazard. Therefore, the second part of this work is to define the priorities and sensitivities of different targets based on the judgments of experts. Multicriteria decision methods are used to prioritize elements and are therefore adapted to the modelling of the sensitivity of the issues of greater Lyon (Griot, 2008). The purpose of these methods is the assessment of priorities between the different components of the situation. Thomas Saaty's analytic hierarchy process (1980) is the most frequently used because of its many advantages. On this basis, the formal calculations of priorities and sensitivities of the elements have been conducted. These calculations are based on the judgments of experts. Indeed, during semi-structured interview, the 38 experts in our sample delivered a verdict on issues that seem relatively more important than others by binary comparison. They carry the same manner to determine sensitivity's stakes to hazard flooding. Finally, the consistency of answers given by experts is validated by calculating a ratio of coherence, and their results are aggregated to provide functions of priority (based on the relative importance of each stakes), and functions of sensitivity (based on the relative sensitivity of each stakes). From these functions of priority and sensitivity is obtained the general function of vulnerability. The vulnerability functions allow defining the importance of the stakes of Greater Lyon and their sensitivity to hydrological hazards. The global vulnerability function is obtained from sensitivity and priority functions and shows the great importance of human issues (75 %). The vulnerability factor of environmental targets represents 12 % of the global vulnerability function, as much as the materials issues. However, it can be seen that the

Impact of performance interdependencies on structural vulnerability: A systems perspective of storm surge risk to coastal residential communities

International Nuclear Information System (INIS)

Hatzikyriakou, Adam; Lin, Ning

2017-01-01

Interaction between residential structures during natural hazards can lead to interdependencies in their performance. During storm surge, for example, structures can affect the performance of inland buildings by generating damaging waterborne debris or by beneficially dampening surge loads. Quantifying the impact of this interaction on structural vulnerability is critical for risk assessment and informed decision-making. In this study we present and implement two general modeling approaches for investigating such interdependencies. The first method is to condition the vulnerability of a structure on the performance of neighboring buildings using a Markov model. The second uses a marginal model to account for correlation between damage observations when estimating a structure's vulnerability to the hazard. Both approaches are implemented using a case study of an impacted coastal community during Hurricane Sandy (2012). Findings indicate that a structure's performance during storm surge is strongly dependent on the damage state of the structure immediately seaward. Furthermore, considering the correlated damage states of buildings increases statistical uncertainty when relating structural performance to hazard intensity. Motivated by these findings, we propose a more coordinated approach to coastal risk mitigation which considers the effects of interdependencies on insurance pricing, structural design, mitigation strategies and community resilience. - Highlights: • Interaction between residential structures leads to performance interdependencies. • Interdependencies during storm surge are due to debris and structural shielding. • Markov model treats interdependencies as an additional demand parameter. • Marginal model incorporates damage correlation into regression estimation. • System behavior should be considered in community risk and resilience.

Software vulnerability: Definition, modelling, and practical evaluation for E-mail: transfer software

International Nuclear Information System (INIS)

Kimura, Mitsuhiro

2006-01-01

This paper proposes a method of assessing software vulnerability quantitatively. By expanding the concept of the IPO (input-program-output) model, we first define the software vulnerability and construct a stochastic model. Then we evaluate the software vulnerability of the sendmail system by analyzing the actual security-hole data, which were collected from its release note. Also we show the relationship between the estimated software reliability and vulnerability of the analyzed system

Extreme rainfall, vulnerability and risk: a continental-scale assessment for South America

Science.gov (United States)

Vorosmarty, Charles J.; de Guenni, Lelys Bravo; Wollheim, Wilfred M.; Pellerin, Brian A.; Bjerklie, David M.; Cardoso, Manoel; D'Almeida, Cassiano; Colon, Lilybeth

2013-01-01

Extreme weather continues to preoccupy society as a formidable public safety concern bearing huge economic costs. While attention has focused on global climate change and how it could intensify key elements of the water cycle such as precipitation and river discharge, it is the conjunction of geophysical and socioeconomic forces that shapes human sensitivity and risks to weather extremes. We demonstrate here the use of high-resolution geophysical and population datasets together with documentary reports of rainfall-induced damage across South America over a multi-decadal, retrospective time domain (1960–2000). We define and map extreme precipitation hazard, exposure, affectedpopulations, vulnerability and risk, and use these variables to analyse the impact of floods as a water security issue. Geospatial experiments uncover major sources of risk from natural climate variability and population growth, with change in climate extremes bearing a minor role. While rural populations display greatest relative sensitivity to extreme rainfall, urban settings show the highest rates of increasing risk. In the coming decades, rapid urbanization will make South American cities the focal point of future climate threats but also an opportunity for reducing vulnerability, protecting lives and sustaining economic development through both traditional and ecosystem-based disaster risk management systems.

Extreme rainfall, vulnerability and risk: a continental-scale assessment for South America.

Science.gov (United States)

Vörösmarty, Charles J; Bravo de Guenni, Lelys; Wollheim, Wilfred M; Pellerin, Brian; Bjerklie, David; Cardoso, Manoel; D'Almeida, Cassiano; Green, Pamela; Colon, Lilybeth

2013-11-13

Extreme weather continues to preoccupy society as a formidable public safety concern bearing huge economic costs. While attention has focused on global climate change and how it could intensify key elements of the water cycle such as precipitation and river discharge, it is the conjunction of geophysical and socioeconomic forces that shapes human sensitivity and risks to weather extremes. We demonstrate here the use of high-resolution geophysical and population datasets together with documentary reports of rainfall-induced damage across South America over a multi-decadal, retrospective time domain (1960-2000). We define and map extreme precipitation hazard, exposure, affectedpopulations, vulnerability and risk, and use these variables to analyse the impact of floods as a water security issue. Geospatial experiments uncover major sources of risk from natural climate variability and population growth, with change in climate extremes bearing a minor role. While rural populations display greatest relative sensitivity to extreme rainfall, urban settings show the highest rates of increasing risk. In the coming decades, rapid urbanization will make South American cities the focal point of future climate threats but also an opportunity for reducing vulnerability, protecting lives and sustaining economic development through both traditional and ecosystem-based disaster risk management systems.

Adolescent mental health and academic functioning: empirical support for contrasting models of risk and vulnerability.

Science.gov (United States)

Lucier-Greer, Mallory; O'Neal, Catherine W; Arnold, A Laura; Mancini, Jay A; Wickrama, Kandauda K A S

2014-11-01

Adolescents in military families contend with normative stressors that are universal and exist across social contexts (minority status, family disruptions, and social isolation) as well as stressors reflective of their military life context (e.g., parental deployment, school transitions, and living outside the United States). This study utilizes a social ecological perspective and a stress process lens to examine the relationship between multiple risk factors and relevant indicators of youth well-being, namely depressive symptoms and academic performance, as well as the mediating role of self-efficacy (N = 1,036). Three risk models were tested: an additive effects model (each risk factor uniquely influences outcomes), a full cumulative effects model (the collection of risk factors influences outcomes), a comparative model (a cumulative effects model exploring the differential effects of normative and military-related risks). This design allowed for the simultaneous examination of multiple risk factors and a comparison of alternative perspectives on measuring risk. Each model was predictive of depressive symptoms and academic performance through persistence; however, each model provides unique findings about the relationship between risk factors and youth outcomes. Discussion is provided pertinent to service providers and researchers on how risk is conceptualized and suggestions for identifying at-risk youth. Reprint & Copyright © 2014 Association of Military Surgeons of the U.S.

Vulnerabilities and Risks in Romanian Public Financial Accounting

Directory of Open Access Journals (Sweden)

Terinte Paula-Andreea

2017-01-01

Full Text Available Internal audit plays an important contributive role in the economic credibility of an economy. By improving, the quality of internal audit and control in public institutions we can increase the efficiency of public spending and the whole economy in general. The aim of our paper is to identify the main vulnerabilities and risks in Romanian public sector after based upon the analysis performed by the Romanian Court of Accounts. Based upon the annual reports of the Romanian Court of Accounts from 2009 to 2016, we identify several issues and risks in the Romanian public sector, and especially in the local government financial accounting. In order to prevent more deviations and errors and to improve the quality of internal auditing and internal control systems, in the Romanian public sector, this paper proposes a series of measures in this matter.

Vulnerability and social justice as factors in emergent U.S. nanotechnology risk perceptions.

Science.gov (United States)

Conti, Joseph; Satterfield, Terre; Harthorn, Barbara Herr

2011-11-01

As an emerging domain of risk research, nanotechnologies engender novel research questions, including how new technologies are encountered given different framing and contextual detail. Using data from a recent U.S. national survey of perceived risks (N= 1,100), risk versus benefit framings and the specific social positions from which people encounter or perceive new technologies are explored. Results indicate that vulnerability and attitudes toward environmental justice significantly influenced risk perceptions of nanotechnology as a broad class, while controlling for demographic and affective factors. Comparative analyses of different examples of nanotechnology applications demonstrated heightened ambivalence across acceptability when risk versus benefit information was provided with application descriptions (described in short vignettes as compared to the general category "nanotechnology," absent of risk or benefit information). The acceptability of these nano-specific vignettes varied significantly in only some cases given indexes of vulnerability and attitudes toward environmental justice. However, experimental narrative analyses, using longer, more comprehensive descriptive passages, show how assessments of risks and benefits are tied to the systematically manipulated psychometric qualities of the application (its invasiveness and controllability), risk messaging from scientists, and the social implications of the technology with regard to justice. The article concludes with discussion of these findings for risk perception research and public policy related to nanotechnology and possibly other emerging technologies. © 2011 Society for Risk Analysis.

HIV risk perception among pregnant women in western India: need for reducing vulnerabilities rather than improving knowledge!

Science.gov (United States)

Darak, Shrinivas; Gadgil, Mukta; Balestre, Eric; Kulkarni, Maitreyee; Kulkarni, Vinay; Kulkarni, Sanjeevani; Orne-Gliemann, Joanna

2014-01-01

Since the beginning of the HIV/AIDS epidemic in India, pregnant women attending antenatal clinics (ANC) have been considered as a low HIV risk population. Yet, a substantial proportion of new HIV infections are occurring among stable heterosexual couples. This paper sought to investigate the proportion and profile of women who, within the low-risk population, are potentially at higher risk of HIV infection. HIV risk perception of pregnant women enrolled within the ANRS 12127 Prenahtest trial was described and associated socio-behavioral characteristics, husband's characteristics, and HIV-related characteristics were analyzed using univariate and multivariate logistic regression models. Among 484 women enrolled, baseline data were collected for 479 women and 460 women with completed data were considered for the present analysis (96%). Eighty-nine (19.4%) women perceived themselves at risk of HIV. Women with educational level Women who had heard about sexually transmitted infections were also more likely to report HIV risk perception (AOR = 3.36 [CI = 1.83-6.18]). Substantial proportion of women (one out of five) perceived themselves at risk of HIV and most of these have reported some form of vulnerability in their couple relationship such as intimate partner violence, alcoholic partner, lack of communication, and spaces for communication with partner. Though awareness and knowledge is the first step for prevention, considering the vulnerabilities associated with HIV risk perception, HIV prevention interventions in India should target overall sources of vulnerability to HIV. Targeted risk reduction for women in ANC should be considered for primary HIV prevention among couples.

Urban vulnerability and climate change in Africa a multidisciplinary approach

CERN Document Server

Coly, Adrien; Fohlmeister, Sandra; Gasparini, Paolo; Jørgensen, Gertrud; Kabisch, Sigrun; Kombe, Wilbard; Lindley, Sarah; Simonis, Ingo; Yeshitela, Kumelachew

2015-01-01

The book presents results of CLUVA (CLimate Change and Urban Vulnerability in Africa), a large European Commission funded research project (2010-2013). The project aimed to develop a better understanding of the risks and impacts of climate change related hazards to African cities, assess their vulnerability to these risks, and identify innovative strategies for planning and governance to increase their resilience. For the first time, a systematic and groundbreaking study of this kind was applied in an inter- and trans-disciplinary approach. CLUVA was unique in that it combined: a top-down perspective of climate change modeling with a bottom-up perspective of vulnerability assessment; quantitative approaches from engineering sciences and qualitative approaches of the social sciences; a novel multi-risk modeling methodology; strategic approaches to urban and green infrastructure planning with neighborhood perspectives of adaptation. The book broadly follows the approach taken in the CLUVA project. First, the co...

Review Article: A comparison of flood and earthquake vulnerability assessment indicators

Science.gov (United States)

de Ruiter, Marleen C.; Ward, Philip J.; Daniell, James E.; Aerts, Jeroen C. J. H.

2017-07-01

In a cross-disciplinary study, we carried out an extensive literature review to increase understanding of vulnerability indicators used in the disciplines of earthquake- and flood vulnerability assessments. We provide insights into potential improvements in both fields by identifying and comparing quantitative vulnerability indicators grouped into physical and social categories. Next, a selection of index- and curve-based vulnerability models that use these indicators are described, comparing several characteristics such as temporal and spatial aspects. Earthquake vulnerability methods traditionally have a strong focus on object-based physical attributes used in vulnerability curve-based models, while flood vulnerability studies focus more on indicators applied to aggregated land-use classes in curve-based models. In assessing the differences and similarities between indicators used in earthquake and flood vulnerability models, we only include models that separately assess either of the two hazard types. Flood vulnerability studies could be improved using approaches from earthquake studies, such as developing object-based physical vulnerability curve assessments and incorporating time-of-the-day-based building occupation patterns. Likewise, earthquake assessments could learn from flood studies by refining their selection of social vulnerability indicators. Based on the lessons obtained in this study, we recommend future studies for exploring risk assessment methodologies across different hazard types.

Coastal vulnerability: climate change and natural hazards perspectives

Science.gov (United States)

Romieu, E.; Vinchon, C.

2009-04-01

erosion (i.e. its characteristics that create potential harm), and integrate them in a risk assessment. Global change is considered by modifications of hazard, anthropogenic pressure and exposition, in order to point out possible modification of vulnerabilities. 3) Learning from both perspectives Coastal vulnerability in its "end in itself" and climate change dimension is a widespread tool for decision makers but it can be inadequate when vulnerability is a component of risk. This is mainly due to the consideration of climate change as a "hazard", so that coastal vulnerability is seen as the possible adverse impacts of climate change. As a matter of fact, this concept is clearly well considered by managers, who feel deeply concerned by climate change. However, coastal risk managers would gain in considering climate change more like a driver able to modify existing hazards than like the pressure in itself. Using this concept could lead to new perspectives of coastal risk mitigation for decision makers (social vulnerability, risk perception…), learning from other disciplines and sciences thanks to research projects such as MOVE (FP7). Acknowledgements The authors would like to thank the BRGM coastal team for rich discussions and fruitful collaborations in coastal vulnerability studies, more specially Déborah Idier for animating the Vulsaco project and Manuel Garcin for his work on tsunamis in Sri Lanka. They are also grateful to the MISEEVA and MOVE teams, which are doing some great trans-disciplinary work. References Birkmann, J., 2006. Measuring vulnerability to Natural Hazards : towards disaster resilient societies. United Nations University Press. Boruff, B. J., Emrich, C., Cutter, S. L., 2005. Erosion hazard vulnerability of US coastal counties. Journal of Coastal Research. 21, 932-942. Douglas, J., 2007. Physical vulnerability modelling in natural hazard risk assessment. Natural Hazards and Earth System Sciences. 7, 283-288. IPCC, 2001. Climate change 2001

Climate change vulnerability, adaptation and risk perceptions at farm level in Punjab, Pakistan.

Science.gov (United States)

Abid, Muhammad; Schilling, Janpeter; Scheffran, Jürgen; Zulfiqar, Farhad

2016-03-15

Pakistan is among the countries highly exposed and vulnerable to climate change. The country has experienced many severe floods, droughts and storms over the last decades. However, little research has focused on the investigation of vulnerability and adaptation to climate-related risks in Pakistan. Against this backdrop, this article investigates the farm level risk perceptions and different aspects of vulnerability to climate change including sensitivity and adaptive capacity at farm level in Pakistan. We interviewed a total of 450 farming households through structured questionnaires in three districts of Punjab province of Pakistan. This study identified a number of climate-related risks perceived by farm households such as extreme temperature events, insect attacks, animal diseases and crop pests. Limited water availability, high levels of poverty and a weak role of local government in providing proper infrastructure were the factors that make farmers more sensitive to climate-related risks. Uncertainty or reduction in crop and livestock yields; changed cropping calendars and water shortage were the major adverse impacts of climate-related risks reported by farmers in the study districts. Better crop production was reported as the only positive effect. Further, this study identified a number of farm level adaptation methods employed by farm households that include changes in crop variety, crop types, planting dates and input mix, depending upon the nature of the climate-related risks. Lack of resources, limited information, lack of finances and institutional support were some constraints that limit the adaptive capacity of farm households. This study also reveals a positive role of cooperation and negative role of conflict in the adaptation process. The study suggests to address the constraints to adaptation and to improve farm level cooperation through extended outreach and distribution of institutional services, particularly climate-specific farm advisory

Phenotypic plasticity in anti-intraguild predator strategies: mite larvae adjust their behaviours according to vulnerability and predation risk.

Science.gov (United States)

Walzer, Andreas; Schausberger, Peter

2013-05-01

Interspecific threat-sensitivity allows prey to maximize the net benefit of antipredator strategies by adjusting the type and intensity of their response to the level of predation risk. This is well documented for classical prey-predator interactions but less so for intraguild predation (IGP). We examined threat-sensitivity in antipredator behaviour of larvae in a predatory mite guild sharing spider mites as prey. The guild consisted of the highly vulnerable intraguild (IG) prey and weak IG predator Phytoseiulus persimilis, the moderately vulnerable IG prey and moderate IG predator Neoseiulus californicus and the little vulnerable IG prey and strong IG predator Amblyseius andersoni. We videotaped the behaviour of the IG prey larvae of the three species in presence of either a low- or a high-risk IG predator female or predator absence and analysed time, distance, path shape and interaction parameters of predators and prey. The least vulnerable IG prey A. andersoni was insensitive to differing IGP risks but the moderately vulnerable IG prey N. californicus and the highly vulnerable IG prey P. persimilis responded in a threat-sensitive manner. Predator presence triggered threat-sensitive behavioural changes in one out of ten measured traits in N. californicus larvae but in four traits in P. persimilis larvae. Low-risk IG predator presence induced a typical escape response in P. persimilis larvae, whereas they reduced their activity in the high-risk IG predator presence. We argue that interspecific threat-sensitivity may promote co-existence of IG predators and IG prey and should be common in predator guilds with long co-evolutionary history.

Tsunami Hazard, Vulnerability and Risk assessment for the coast of Oman

Science.gov (United States)

Gonzalez, Mauricio; Aniel-Quiroga, Íñigo; Aguirre-Ayerbe, Ignacio; Álvarez-Gómez, José Antonio; MArtínez, Jara; Gonzalez-Riancho, Pino; Fernandez, Felipe; Medina, Raúl; Al-Yahyai, Sultan

2016-04-01

Tsunamis are relatively infrequent phenomena representing a greater threat than earthquakes, hurricanes and tornadoes, and causing the loss of thousands of human lives and extensive damage to coastal infrastructures around the world. Advances in the understanding and prediction of tsunami impacts allow the development of new methodologies in this field. This work presents the methodology that has been followed for developing the tsunami hazard, vulnerability and risk assessment for the coast of Oman, including maps containing the results of the process. Oman is located in the south eastern corner of the Arabian Peninsula and of the Arabian plate, in front of the Makran Subduction Zone (MSZ), which is the major source of earthquakes in the eastern border of the Arabian plate and Oman (Al-Shaqsi, 2012). There are at least three historical tsunamis assigned to seismic origin in the MSZ (Heidarzadeh et al., 2008; Jordan, 2008). These events show the high potential for tsunami generation of the MSZ, being one of the most tsunamigenic zones in the Indian Ocean. For the tsunami hazard assessment, worst potential cases have been selected, as well as the historical case of 1945, when an 8.1 earthquake generated a tsunami affecting the coast of Oman, and prompting 4000 casualties in the countries of the area. These scenarios have been computationally simulated in order to get tsunami hazard maps, including flooding maps. These calculations have been carried out at national and local scale, in 9 municipalities all along the coast of Oman, including the cities of Sohar, Wudam, Sawadi, Muscat, Quriyat, Sur, Masirah, Al Duqm, and Salalah. Using the hazard assessment as input, this work presents as well an integrated framework for the tsunami vulnerability and risk assessment carried out in the Sultanate of Oman. This framework considers different dimensions (human, structural) and it is developed at two different spatial resolutions, national and local scale. The national

Socioeconomic vulnerability and adaptation to environmental risk: A case study of climate change and flooding in Bangladesh

NARCIS (Netherlands)

Brouwer, R.; Akter, S.; Brander, L.M.; Haque, E.

2007-01-01

In this article we investigate the complex relationship between environmental risk, poverty, and vulnerability in a case study carried out in one of the poorest and most flood-prone countries in the world, focusing on household and community vulnerability and adaptive coping mechanisms. Based upon

Assessing social vulnerability to drought in South Africa: Policy implication for drought risk reduction

Directory of Open Access Journals (Sweden)

Fumiso Muyambo

2017-01-01

Full Text Available The aim of this article was to assess and identify social vulnerability of communal farmers to drought in the O.R. Tambo district in the Eastern Cape province of South Africa using a survey data and social vulnerability index (SoVI. Eleven social vulnerability indicators were identified using Bogardi, Birkman and Cardona conceptual framework. The result found that an SoVI estimated for O.R. Tambo district was very high with a Likert scale of 5 for cultural values and practices, security or safety, social networks, social dependence, preparedness strategies and psychological stress attributed for the high value of social vulnerability to drought. Indigenous knowledge and education had an SoVI value of 2, which was of low vulnerability, contributing positively to resilience to drought. The study also found that government involvement in drought risk reduction is limited; as a result, the study recommends that a national, provincial and district municipalities policy on drought risk reduction and mitigation should be developed.

Could cognitive vulnerability identify high-risk subjects for schizophrenia?

Science.gov (United States)

Sarfati, Yves; Hardy-Baylé, Marie-Christine

2002-12-08

This review puts into questions the possible role of cognitive vulnerability markers in prediction and prevention of schizophrenia. Until recently, none of the identified cognitive anomalies has been proved to be definitive. However, as new promising candidates are emerging (DS-CPT, CPT-IP, P suppression, Saccadic Eye Movements), the predictive value of these trait-type anomalies may be criticized regarding four issues, which are discussed: technical, metrological, theoretical, and clinical. As things stand, the existence of a cognitive vulnerability marker, which testify to a permanent pathological trait, does not constitute a sufficient factor to identify and treat subjects who are at risk for schizophrenia. Copyright 2002 Wiley-Liss, Inc.

Vulnerability and risk management of Agave species in the Tehuacán Valley, México.

Science.gov (United States)

Delgado-Lemus, América; Torres, Ignacio; Blancas, José; Casas, Alejandro

2014-07-03

Our study analysed the vulnerability of the useful Agave species of the Tehuacán Valley, Mexico, considering ecological, cultural and economic aspects, and management types. We hypothesized that management intensity is proportional to the degree of risk of a species in order to decrease its vulnerability. Distribution of Agave species was monitored in 36 types of plant associations. Ethnobotanical studies were conducted in 13 villages and six markets. The vulnerability of each species was calculated by assigning risk values to the variables analysed. The vulnerability and management intensity indexes were estimated through the scores of the first principal component of PCA. Variation of management data explained by ecological, cultural and economic information were analysed through canonical correspondence analyses (CCA). A linear regression analysis identified the relation between vulnerability and management intensity. We recorded presence of agave species in 20 of 36 vegetation types. Out of 34 Agave species, 28 were recorded to have one to 16 use types; 16 species are used as food, 13 for live fences, 13 for producing 'pulque', 11 for fibre and ornamental, 9 for construction. Seven species are used for preparing mescal, activity representing the highest risk. Seven Agave species are exclusively extracted from the wild and the others receive some management type. Incipient cultivation was identified in A. potatorum whose seedlings are grown in nurseries. Intensive cultivation through vegetative propagation occurs with domesticated species of wide distribution in Mexico. The highest management intensity values were recorded in widely distributed, cultivated and domesticated species, but the regionally native species more intensively managed were those with higher demand and economic value, protected by collective regulations because of their scarcity. The regression analysis indicated significant relation (R2=0.677, P<0.001) between vulnerability and management

Disaster Governance and Vulnerability: The Case of Chile

Directory of Open Access Journals (Sweden)

Vicente Sandoval

2016-12-01

Full Text Available This exploratory work seeks to shed light on disaster governance by looking into potential linkages between the production of vulnerability and disaster governance in Chile. Our point of investigation is the case of post-disaster Chaitén and the Chilean model of Disaster Risk Management. The work begins by situating disaster governance and the production of vulnerability in a broader context of existing governance system that includes a multiplicity of actors and socio-economic, socio-ecological, and political processes. Coming from a multi-scalar perspective, we use the disaster Pressure and Release (PAR model to enable a differentiated analysis of the multiplicity of actors, rules, and processes related to DRM that participate in the production of disaster vulnerability in the current Chaitén. With this we address the questions as to ‘why’ the Chilean model of DRM is prominently centralised and ‘what’ are the effects on the production of disaster vulnerability for the case of post-disaster Chaitén.

Coping with global environmental change, disasters and security: threats, challenges, vulnerabilities and risks

NARCIS (Netherlands)

Brauch, H.G.; Oswald Spring, Ú.; Mesjasz, C.; Grin, J.; Kameri-Mbote, P.; Chourou, B.; Dunay, P.; Birkmann, J.

2011-01-01

This policy-focused Global Environmental and Human Security Handbook for the Anthropo-cene (GEHSHA) addresses new security threats, challenges, vulnerabilities and risks posed by global environmental change and disasters. In 6 forewords, 5 preface essays 95 peer reviewed chapcountries analyse in 10

Network Vulnerability and Risk Assessment

National Research Council Canada - National Science Library

Alward, Randy G; Carley, Kathleen M; Madsen, Fredrik; Taylor, Vincent K; Vandenberghe, Grant

2006-01-01

.... The break out group discussed vulnerability presentation needs common across various application domains, particularly in support of network discovery and network analysis tasks in those domains...

Modelling the ecological vulnerability to forest fires in mediterranean ecosystems using geographic information technologies.

Science.gov (United States)

Duguy, Beatriz; Alloza, José Antonio; Baeza, M Jaime; De la Riva, Juan; Echeverría, Maite; Ibarra, Paloma; Llovet, Juan; Cabello, Fernando Pérez; Rovira, Pere; Vallejo, Ramon V

2012-12-01

Forest fires represent a major driver of change at the ecosystem and landscape levels in the Mediterranean region. Environmental features and vegetation are key factors to estimate the ecological vulnerability to fire; defined as the degree to which an ecosystem is susceptible to, and unable to cope with, adverse effects of fire (provided a fire occurs). Given the predicted climatic changes for the region, it is urgent to validate spatially explicit tools for assessing this vulnerability in order to support the design of new fire prevention and restoration strategies. This work presents an innovative GIS-based modelling approach to evaluate the ecological vulnerability to fire of an ecosystem, considering its main components (soil and vegetation) and different time scales. The evaluation was structured in three stages: short-term (focussed on soil degradation risk), medium-term (focussed on changes in vegetation), and coupling of the short- and medium-term vulnerabilities. The model was implemented in two regions: Aragón (inland North-eastern Spain) and Valencia (eastern Spain). Maps of the ecological vulnerability to fire were produced at a regional scale. We partially validated the model in a study site combining two complementary approaches that focused on testing the adequacy of model's predictions in three ecosystems, all very common in fire-prone landscapes of eastern Spain: two shrublands and a pine forest. Both approaches were based on the comparison of model's predictions with values of NDVI (Normalized Difference Vegetation Index), which is considered a good proxy for green biomass. Both methods showed that the model's performance is satisfactory when applied to the three selected vegetation types.

Risk assessment of storm surge disaster based on numerical models and remote sensing

Science.gov (United States)

Liu, Qingrong; Ruan, Chengqing; Zhong, Shan; Li, Jian; Yin, Zhonghui; Lian, Xihu

2018-06-01

Storm surge is one of the most serious ocean disasters in the world. Risk assessment of storm surge disaster for coastal areas has important implications for planning economic development and reducing disaster losses. Based on risk assessment theory, this paper uses coastal hydrological observations, a numerical storm surge model and multi-source remote sensing data, proposes methods for valuing hazard and vulnerability for storm surge and builds a storm surge risk assessment model. Storm surges in different recurrence periods are simulated in numerical models and the flooding areas and depth are calculated, which are used for assessing the hazard of storm surge; remote sensing data and GIS technology are used for extraction of coastal key objects and classification of coastal land use are identified, which is used for vulnerability assessment of storm surge disaster. The storm surge risk assessment model is applied for a typical coastal city, and the result shows the reliability and validity of the risk assessment model. The building and application of storm surge risk assessment model provides some basis reference for the city development plan and strengthens disaster prevention and mitigation.

Examining social, physical, and environmental dimensions of tornado vulnerability in Texas.

Science.gov (United States)

Siebeneck, Laura

2016-01-01

To develop a vulnerability model that captures the social, physical, and environmental dimensions of tornado vulnerability of Texas counties. Guided by previous research and methodologies proposed in the hazards and emergency management literature, a principle components analysis is used to create a tornado vulnerability index. Data were gathered from open source information available through the US Census Bureau, American Community Surveys, and the Texas Natural Resources Information System. Texas counties. The results of the model yielded three indices that highlight geographic variability of social vulnerability, built environment vulnerability, and tornado hazard throughout Texas. Further analyses suggest that counties with the highest tornado vulnerability include those with high population densities and high tornado risk. This article demonstrates one method for assessing statewide tornado vulnerability and presents how the results of this type of analysis can be applied by emergency managers towards the reduction of tornado vulnerability in their communities.

Assessing Vulnerabilities, Risks, and Consequences of Damage to Critical Infrastructure

International Nuclear Information System (INIS)

Suski, N.; Wuest, C.

2011-01-01

Since the publication of 'Critical Foundations: Protecting America's Infrastructure,' there has been a keen understanding of the complexity, interdependencies, and shared responsibility required to protect the nation's most critical assets that are essential to our way of life. The original 5 sectors defined in 1997 have grown to 18 Critical Infrastructures and Key Resources (CIKR), which are discussed in the 2009 National Infrastructure Protection Plan (NIPP) and its supporting sector-specific plans. The NIPP provides the structure for a national program dedicated to enhanced protection and resiliency of the nation's infrastructure. Lawrence Livermore National Laboratory (LLNL) provides in-depth, multi-disciplinary assessments of threat, vulnerability, and consequence across all 18 sectors at scales ranging from specific facilities to infrastructures spanning multi-state regions, such as the Oil and Natural Gas (ONG) sector. Like many of the CIKR sectors, the ONG sector is comprised of production, processing, distribution, and storage of highly valuable and potentially dangerous commodities. Furthermore, there are significant interdependencies with other sectors, including transportation, communication, finance, and government. Understanding the potentially devastating consequences and collateral damage resulting from a terrorist attack or natural event is an important element of LLNL's infrastructure security programs. Our work began in the energy sector in the late 1990s and quickly expanded other critical infrastructure sectors. We have performed over 600 physical assessments with a particular emphasis on those sectors that utilize, store, or ship potentially hazardous materials and for whom cyber security is important. The success of our approach is based on building awareness of vulnerabilities and risks and working directly with industry partners to collectively advance infrastructure protection. This approach consists of three phases: The Pre

Index-based groundwater vulnerability mapping models using hydrogeological settings: A critical evaluation

International Nuclear Information System (INIS)

Kumar, Prashant; Bansod, Baban K.S.; Debnath, Sanjit K.; Thakur, Praveen Kumar; Ghanshyam, C.

2015-01-01

Groundwater vulnerability maps are useful for decision making in land use planning and water resource management. This paper reviews the various groundwater vulnerability assessment models developed across the world. Each model has been evaluated in terms of its pros and cons and the environmental conditions of its application. The paper further discusses the validation techniques used for the generated vulnerability maps by various models. Implicit challenges associated with the development of the groundwater vulnerability assessment models have also been identified with scientific considerations to the parameter relations and their selections. - Highlights: • Various index-based groundwater vulnerability assessment models have been discussed. • A comparative analysis of the models and its applicability in different hydrogeological settings has been discussed. • Research problems of underlying vulnerability assessment models are also reported in this review paper

Index-based groundwater vulnerability mapping models using hydrogeological settings: A critical evaluation

Energy Technology Data Exchange (ETDEWEB)

Kumar, Prashant, E-mail: prashantkumar@csio.res.in [CSIR-Central Scientific Instruments Organisation, Chandigarh 160030 (India); Academy of Scientific and Innovative Research—CSIO, Chandigarh 160030 (India); Bansod, Baban K.S.; Debnath, Sanjit K. [CSIR-Central Scientific Instruments Organisation, Chandigarh 160030 (India); Academy of Scientific and Innovative Research—CSIO, Chandigarh 160030 (India); Thakur, Praveen Kumar [Indian Institute of Remote Sensing (ISRO), Dehradun 248001 (India); Ghanshyam, C. [CSIR-Central Scientific Instruments Organisation, Chandigarh 160030 (India); Academy of Scientific and Innovative Research—CSIO, Chandigarh 160030 (India)

2015-02-15

Groundwater vulnerability maps are useful for decision making in land use planning and water resource management. This paper reviews the various groundwater vulnerability assessment models developed across the world. Each model has been evaluated in terms of its pros and cons and the environmental conditions of its application. The paper further discusses the validation techniques used for the generated vulnerability maps by various models. Implicit challenges associated with the development of the groundwater vulnerability assessment models have also been identified with scientific considerations to the parameter relations and their selections. - Highlights: • Various index-based groundwater vulnerability assessment models have been discussed. • A comparative analysis of the models and its applicability in different hydrogeological settings has been discussed. • Research problems of underlying vulnerability assessment models are also reported in this review paper.

Network Vulnerability and Risk Assessment

National Research Council Canada - National Science Library

Alward, Randy G; Carley, Kathleen M; Madsen, Fredrik; Taylor, Vincent K; Vandenberghe, Grant

2006-01-01

To help understand a network and its ability to continue operating when under attack, the break out group discussed issues that need to be considered when presenting network vulnerability information...

Implications of the Fukushima Nuclear Disaster: Man-Made Hazards, Vulnerability Factors, and Risk to Environmental Health.

Science.gov (United States)

Eddy, Christopher; Sase, Eriko

2015-01-01

The objective of this article was to examine the environmental health implications of the 2011 Fukushima nuclear disaster from an all-hazards perspective. The authors performed a literature review that included Japanese and international nuclear guidance and policy, scientific papers, and reports on the Chernobyl and Three Mile Island disasters while also considering all-hazards preparedness rubrics in the U.S. The examination of the literature resulted in the following: a) the authors' "All-Hazards Planning Reference Model" that distinguishes three planning categories-Disaster Trigger Event, Man-Made Hazards, and Vulnerability Factors; b) the generalization of their model to other countries; and c) advocacy for environmental health end fate to be considered in planning phases to minimize risk to environmental health. This article discusses inconsistencies in disaster planning and nomenclature existing in the studied materials and international guidance and proposes new opportunity for developing predisaster risk assessment, risk communication, and prevention capacity building.

Risk terrain modeling predicts child maltreatment.

Science.gov (United States)

Daley, Dyann; Bachmann, Michael; Bachmann, Brittany A; Pedigo, Christian; Bui, Minh-Thuy; Coffman, Jamye

2016-12-01

As indicated by research on the long-term effects of adverse childhood experiences (ACEs), maltreatment has far-reaching consequences for affected children. Effective prevention measures have been elusive, partly due to difficulty in identifying vulnerable children before they are harmed. This study employs Risk Terrain Modeling (RTM), an analysis of the cumulative effect of environmental factors thought to be conducive for child maltreatment, to create a highly accurate prediction model for future substantiated child maltreatment cases in the City of Fort Worth, Texas. The model is superior to commonly used hotspot predictions and more beneficial in aiding prevention efforts in a number of ways: 1) it identifies the highest risk areas for future instances of child maltreatment with improved precision and accuracy; 2) it aids the prioritization of risk-mitigating efforts by informing about the relative importance of the most significant contributing risk factors; 3) since predictions are modeled as a function of easily obtainable data, practitioners do not have to undergo the difficult process of obtaining official child maltreatment data to apply it; 4) the inclusion of a multitude of environmental risk factors creates a more robust model with higher predictive validity; and, 5) the model does not rely on a retrospective examination of past instances of child maltreatment, but adapts predictions to changing environmental conditions. The present study introduces and examines the predictive power of this new tool to aid prevention efforts seeking to improve the safety, health, and wellbeing of vulnerable children. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Spatio-temporal earthquake risk assessment for the Lisbon Metropolitan Area - A contribution to improving standard methods of population exposure and vulnerability analysis

Science.gov (United States)

Freire, Sérgio; Aubrecht, Christoph

2010-05-01

The recent 7.0 M earthquake that caused severe damage and destruction in parts of Haiti struck close to 5 PM (local time), at a moment when many people were not in their residences, instead being in their workplaces, schools, or churches. Community vulnerability assessment to seismic hazard relying solely on the location and density of resident-based census population, as is commonly the case, would grossly misrepresent the real situation. In particular in the context of global (climate) change, risk analysis is a research field increasingly gaining in importance whereas risk is usually defined as a function of hazard probability and vulnerability. Assessment and mapping of human vulnerability has however generally been lagging behind hazard analysis efforts. Central to the concept of vulnerability is the issue of human exposure. Analysis of exposure is often spatially tied to administrative units or reference objects such as buildings, spanning scales from the regional level to local studies for small areas. Due to human activities and mobility, the spatial distribution of population is time-dependent, especially in metropolitan areas. Accurately estimating population exposure is a key component of catastrophe loss modeling, one element of effective risk analysis and emergency management. Therefore, accounting for the spatio-temporal dynamics of human vulnerability correlates with recent recommendations to improve vulnerability analyses. Earthquakes are the prototype for a major disaster, being low-probability, rapid-onset, high-consequence events. Lisbon, Portugal, is subject to a high risk of earthquake, which can strike at any day and time, as confirmed by modern history (e.g. December 2009). The recently-approved Special Emergency and Civil Protection Plan (PEERS) is based on a Seismic Intensity map, and only contemplates resident population from the census as proxy for human exposure. In the present work we map and analyze the spatio-temporal distribution of

Mental Vulnerability as a Predictor of Early Mortality

DEFF Research Database (Denmark)

Eplov, Lene F.; Jørgensen, Torben; Segel, S.

2005-01-01

BACKGROUND: Studies have demonstrated that mental vulnerability (ie, a tendency to experience psychosomatic symptoms or inadequate interpersonal interactions) is associated with various diseases. The objective of our study is to evaluate whether mental vulnerability is a risk factor for early...... mortality. METHODS: We conducted a prospective cohort study of 3 random samples of the population in Copenhagen County, Denmark selected in 1976, 1982-1984, and 1991 (n = 6435). Baseline data collection included measures of mental vulnerability, social factors, comorbidity, biologic risk markers (eg, blood...... of mortality as the result of natural causes. The association between mental vulnerability and survival was examined using Kaplan-Meir plots and Cox proportional-hazard models adjusting for possible confounding factors. RESULTS: With respect to mental vulnerability, 79% of the sample was classified...

Hazard risk and vulnerability assessment : Regional District of Nanaimo : final report

International Nuclear Information System (INIS)

2006-06-01

A Hazard Risk and Vulnerability Assessment (HRVA) is a mandated regulatory requirement in British Columbia that requires local authorities to prepare emergency plans that reflect the local authority's assessment of the relative risk of occurrence and the potential impact on people and property of the hazards, emergencies or disasters that could affect the jurisdictional area for which the local authority has responsibility. This report constituted an HRVA for the Regional District of Nanaimo, British Columbia. It presented the study scope and methodology and provided an overview of the Regional District of Nanaimo. This included information on the setting, demographics, and economy. Next, it discussed social vulnerability; critical response and recovery facilities; and critical infrastructure such as water, energy, telecommunications and transportation. A summary of the Regional District of Nanaimo's response capabilities that were considered when assessing the Regional District's overall risk to the hazards was also presented. Response capabilities were discussed with reference to fire and rescue; police; ambulance; and search and rescue. Emergency support and preparedness organizations were also identified. These included the Emergency Coordination Centre, environmental services, emergency social services, amateur radio and health authorities. Last, 33 hazards that could affect the Regional District of Nanaimo were identified and discussed. The study identified the following hazards as high risk: flooding; forest fires and wildland urban interface fires; and human diseases and pandemic. It was recommended that the advancement of business continuity planning in the Regional District of Nanaimo would help to reduce the impact of a possible human disease and pandemic risk outbreak affecting the population. 75 refs., 25 figs., 14 tabs., 2 appendices

Bayesian spatial models of the association between interpersonal violence, animal abuse and social vulnerability in São Paulo, Brazil.

Science.gov (United States)

Baquero, Oswaldo Santos; Ferreira, Fernando; Robis, Marcelo; Neto, José Soares Ferreira; Onell, Jason Ardila

2018-04-01

Animal abuse adversely affects animal health and welfare and has been associated with interpersonal violence in studies of individuals. However, if that association also depends on sociocultural contexts and can be detected on a geographic scale, a wider source of data can be used to identify risk areas to support the surveillance of both types of violence. In this study, we evaluated the association between interpersonal violence notifications, animal abuse notifications and an index of social vulnerability in São Paulo City, on a geographic scale, using Bayesian spatial models. The social vulnerability index was a risk factor for the number of interpersonal violence notifications and presented a dose-response pattern. The number of animal abuse notifications was also a risk factor for the number of interpersonal violence notifications, even after controlling for the social vulnerability index. The incorporation of spatial effects produced marked improvements in model performance metrics and allowed the identification of excess risk clusters. Geographical data on notifications on either animal abuse or interpersonal violence should be considered incitement for investigations and interventions of both types of violence. We suggest that notifications of animal abuse be based on an explicit definition and classification, as well as on objective measurements that allow a better understanding of the species and type of abuse involved, the animal health consequences, and the context in which they occurred. Copyright © 2018 Elsevier B.V. All rights reserved.

Grid Transmission Expansion Planning Model Based on Grid Vulnerability

Science.gov (United States)

Tang, Quan; Wang, Xi; Li, Ting; Zhang, Quanming; Zhang, Hongli; Li, Huaqiang

2018-03-01

Based on grid vulnerability and uniformity theory, proposed global network structure and state vulnerability factor model used to measure different grid models. established a multi-objective power grid planning model which considering the global power network vulnerability, economy and grid security constraint. Using improved chaos crossover and mutation genetic algorithm to optimize the optimal plan. For the problem of multi-objective optimization, dimension is not uniform, the weight is not easy given. Using principal component analysis (PCA) method to comprehensive assessment of the population every generation, make the results more objective and credible assessment. the feasibility and effectiveness of the proposed model are validated by simulation results of Garver-6 bus system and Garver-18 bus.

A modified SINTACS method for groundwater vulnerability and pollution risk assessment in highly anthropized regions based on NO3- and SO42- concentrations.

Science.gov (United States)

Busico, Gianluigi; Kazakis, Nerantzis; Colombani, Nicolò; Mastrocicco, Micòl; Voudouris, Konstantinos; Tedesco, Dario

2017-12-31

Groundwater vulnerability and risk assessment are worldwide tools in supporting groundwater protection and land planning. In this study, we used three of these different methodologies applied to the Campanian Plain located in southern Italy: SINTACS, AVI and LOS. However, their capability to describe the observed chemical pollution of the area has resulted quite poor. For such a reason, a modified SINTACS method has been then implemented in the area in order to get a more reliable view of groundwater vulnerability. NO 3 - and SO 4 2- from more than 400 monitoring wells were used for specific vulnerability assessment. Land use was chosen as key parameter to infer the risk of groundwater pollution in our area. The new methodology seems to show a higher correlation with observed NO 3 - concentrations and a more reliable identification of aquifer's pollution hot spots. The main sources of NO 3 - were found in sub-urban areas, where vulnerability and risk are higher than in other areas. Otherwise due to reducing conditions triggered by the presence of elevated sedimentary organic matter and peat, concentrations below agricultural areas were lower than in sub-urban areas. The SO 4 2- specific vulnerability map showed a positive correlation with observed concentrations, due to geogenic and anthropogenic SO 4 2- sources present in the area. The combination of both NO 3 - and SO 4 2- derived risk maps becomes essential to improve the conceptual model of aquifer pollution in this severely anthropized area. The application of this new and original approach shed light on the strengths and weaknesses of each of the described previous methods and clearly showed how anthropogenic activities have to be taken into account in the assessment process. Copyright © 2017 Elsevier B.V. All rights reserved.

Perceptions of Risk and Vulnerability Following Exposure to a Major Natural Disaster: The Calgary Flood of 2013.

Science.gov (United States)

Tanner, Alexa; Árvai, Joseph

2018-03-01

Many studies have examined the general public's flood risk perceptions in the aftermath of local and regional flooding. However, relatively few studies have focused on large-scale events that affect tens of thousands of people within an urban center. Similarly, in spite of previous research on flood risks, unresolved questions persist regarding the variables that might influence perceptions of risk and vulnerability, along with management preferences. In light of the opportunities presented by these knowledge gaps, the research reported here examined public perceptions of flood risk and vulnerability, and management preferences, within the city of Calgary in the aftermath of extensive flooding in 2013. Our findings, which come from an online survey of residents, reveal that direct experience with flooding is not a differentiating factor for risk perceptions when comparing evacuees with nonevacuees who might all experience future risks. However, we do find that judgments about vulnerability-as a function of how people perceive physical distance-do differ according to one's evacuation experience. Our results also indicate that concern about climate change is an important predictor of flood risk perceptions, as is trust in government risk managers. In terms of mitigation preferences, our results reveal differences in support for large infrastructure projects based on whether respondents feel they might actually benefit from them. © 2017 Society for Risk Analysis.

Parental Depression and Child Cognitive Vulnerability Predict Children’s Cortisol Reactivity

Science.gov (United States)

Hayden, Elizabeth P.; Hankin, Benjamin L.; Mackrell, Sarah V.M.; Sheikh, Haroon I.; Jordan, Patricia L.; Dozois, David J.A.; Singh, Shiva M.; Olino, Thomas M.; Badanes, Lisa S.

2015-01-01

Risk for depression is expressed across multiple levels of analysis. For example, parental depression and cognitive vulnerability are known markers of depression risk, but no study has examined their interactive effects on children’s cortisol reactivity, a likely mediator of early depression risk. We examined relations across these different levels of vulnerability using cross-sectional and longitudinal methods in two community samples of children. Children were assessed for cognitive vulnerability using self-reports (Study 1; n = 244) and tasks tapping memory and attentional bias (Study 2; n = 205), and their parents were assessed for depression history using structured clinical interviews. In both samples, children participated in standardized stress tasks and cortisol reactivity was assessed. Cross-sectionally and longitudinally, parental depression history and child cognitive vulnerability interacted to predict children’s cortisol reactivity; specifically, associations between parent depression and elevated child cortisol activity were found when children also showed elevated depressotypic attributions, as well as attentional and memory biases. Findings indicate that models of children’s emerging depression risk may benefit from the examination of the interactive effects of multiple sources of vulnerability across levels of analysis. PMID:25422972

Tsunami vulnerability assessment in the western coastal belt in Sri Lanka

Science.gov (United States)

Ranagalage, M. M.

2017-12-01

26th December 2004 tsunami disaster has caused massive loss of life, damage to coastal infrastructures and disruption to economic activities in the coastal belt of Sri Lanka. Tsunami vulnerability assessment is a requirement for disaster risk and vulnerability reduction. It plays a major role in identifying the extent and level of vulnerabilities to disasters within the communities. There is a need for a clearer understanding of the disaster risk patterns and factors contributing to it in different parts of the coastal belt. The main objective of this study is to investigate tsunami vulnerability assessment of Moratuwa Municipal council area in Sri Lanka. We have selected Moratuwa area due to considering urbanization pattern and Tsunami hazards of the country. Different data sets such as one-meter resolution LiDAR data, orthophoto, population, housing data and road layer were employed in this study. We employed tsunami vulnerability model for 1796 housing units located there, for a tsunami scenario with a maximum run-up 8 meters. 86% of the total land area affected by the tsunami in 8 meters scenarios. Additionally, building population has been used to estimate population in different vulnerability levels. The result shows that 32% of the buildings have extremely critical vulnerability level, 46% have critical vulnerability level, 22% have high vulnerability level, and 1% have a moderate vulnerability. According to the population estimation model results, 18% reside building with extremely critical vulnerability, 43% with critical vulnerability, 36% with high vulnerability and 3% belong to moderate vulnerability level. The results of the study provide a clear picture of tsunami vulnerability. Outcomes of this analysis can use as a valuable tool for urban planners to assess the risk and extent of disaster risk reduction which could be achieved via suitable mitigation measures to manage the coastal belt in Sri Lanka.

Intrinsic and specific vulnerability of groundwater in central Spain: the risk of nitrate pollution

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Martínez-Bastida, Juan J.; Arauzo, Mercedes; Valladolid, Maria

2010-05-01

The intrinsic vulnerability of groundwater in the Comunidad de Madrid (central Spain) was evaluated using the DRASTIC and GOD indexes. Groundwater vulnerability to nitrate pollution was also assessed using the composite DRASTIC (CD) and nitrate vulnerability (NV) indexes. The utility of these methods was tested by analyzing the spatial distribution of nitrate concentrations in the different aquifers located in the study area: the Tertiary Detrital Aquifer, the Moor Limestone Aquifer, the Cretaceous Limestone Aquifer and the Quaternary Aquifer. Vulnerability maps based on these four indexes showed very similar results, identifying the Quaternary Aquifer and the lower sub-unit of the Moor Limestone Aquifer as deposits subjected to a high risk of nitrate pollution due to intensive agriculture. As far as the spatial distribution of groundwater nitrate concentrations is concerned, the NV index showed the greatest statistical significance ( p Comunidad de Madrid, in line with European Union Directive 91/676/EEC.

Socio-hydrological modelling of floods: investigating community resilience, adaptation capacity and risk

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Ciullo, Alessio; Viglione, Alberto; Castellarin, Attilio

2016-04-01

Changes in flood risk occur because of changes in climate and hydrology, and in societal exposure and vulnerability. Research on change in flood risk has demonstrated that the mutual interactions and continuous feedbacks between floods and societies has to be taken into account in flood risk management. The present work builds on an existing conceptual model of an hypothetical city located in the proximity of a river, along whose floodplains the community evolves over time. The model reproduces the dynamic co-evolution of four variables: flooding, population density of the flooplain, amount of structural protection measures and memory of floods. These variables are then combined in a way to mimic the temporal change of community resilience, defined as the (inverse of the) amount of time for the community to recover from a shock, and adaptation capacity, defined as ratio between damages due to subsequent events. Also, temporal changing exposure, vulnerability and probability of flooding are also modelled, which results in a dynamically varying flood-risk. Examples are provided that show how factors such as collective memory and risk taking attitude influence the dynamics of community resilience, adaptation capacity and risk.

Environmental injustice and flood risk: A conceptual model and case comparison of metropolitan Miami and Houston, USA.

Science.gov (United States)

Collins, Timothy W; Grineski, Sara E; Chakraborty, Jayajit

2018-02-01

This article outlines a conceptual model and comparatively applies it to results from environmental justice (EJ) studies of flood risk in the Miami, Florida, and Houston, Texas, metropolitan areas. In contrast to most EJ studies of air pollution, which have found that socially-vulnerable groups experience disproportionate risk, distributive EJ studies of flooding reveal inconsistent findings regarding the relationship between social vulnerability and flood exposure. Counterintuitively (from a conventional EJ perspective), some pre-flood EJ studies have found that socially-advantaged people experience the highest residential exposure to flood risks. To integrate those anomalous findings within an EJ perspective, our conceptual model focuses on (1) the differential capacities of social groups to deploy/access protective resources for reducing the threat of loss, even while they reside amid flood-prone environments, and (2) both flood hazards and water-based benefits. Application of this model in Miami reveals that environmental injustices materialize as socially-privileged groups expose themselves to residential flood risks by seeking coastal amenities, as the costs of mitigating risks are conveyed to the broader public; in the process, socially-vulnerable residents are relegated to areas with air pollution and/or inland flood risks, where they experience constrained access to protective resources and coastal amenities. Findings from Houston better align with conventional EJ expectations-with flood zones disproportionately inhabited by socially-vulnerable people-because many coastal lands there are used by petrochemical industries, which produce major residential-environmental disamenities . Results underscore the need to consider protective resources and locational benefits in future empirical research on the EJ implications of flood hazards.

Psychological Vulnerability and Earthquake Risk Perception in Bucharest/Romania

Science.gov (United States)

Romeo Cretu, Zeno; Armas, Iuliana; Stanciugelu, Irina

2010-05-01

The importance of studying the relationship with the natural hazard events from a psycho-social perspective is fundamental by the experience with past disasters as much as by the research in the field that proved that the people's psychologic structures may constitute a starting point for risk reduction. People's psycho-behavioural patterns contain conscious or unconscious references to the environmental risk, thus creating certain adjustment strategies and mechanisms, with a certain degree of psychological vulnerability. In modern man's case, the high level of awareness in front of natural dangers, doubled by the perception of the environment's unsafety, experienced as a lack of control, brings to attention nowadays the problematic of the analysis of natural risk perception, as a main factor in the adjustment of human communities' capacity of adapting to the natural environment's dynamics. The major objective of this present work is, based on the development of an efficient evaluation methodology, to identify specific relational patterns to seismic risk in Bucharest, function the characteristics of the urban environment, the social, economical and psychological vulnerability, with results that can be applied for disaster management. For explaining human reactions and the way in which they perceive and evaluate the psychological resources, on a daily basis, but also in risk situations (earthquakes), a multi-modal questionnaire was conceived through qualitative methods (a focus group, along with experts from the Public and Administrative Sciences National School, Risk Communication Center). The questionnaire was structured on a 49 items sequence, in which were included different type of questions (with single or multiple answers, open questions etc), and also questions using different scaling methods. The items caught cognitive elements (expectations, anticipations and negative or positive judgments regarding risk element), affective (feelings) and behavioral

A knowledge integration approach to flood vulnerability

Science.gov (United States)

Mazzorana, Bruno; Fuchs, Sven

2014-05-01

Understanding, qualifying and quantifying vulnerability is an essential need for implementing effective and efficient flood risk mitigation strategies; in particular if possible synergies between different mitigation alternatives, such as active and passive measures, should be achieved. In order to combine different risk management options it is necessary to take an interdisciplinary approach to vulnerability reduction, and as a result the affected society may be willing to accept a certain degree of self-responsibility. However, due to differing mono-disciplinary approaches and regional foci undertaken until now, different aspects of vulnerability to natural hazards in general and to floods in particular remain uncovered and as a result the developed management options remain sub-optimal. Taking an even more fundamental viewpoint, the empirical vulnerability functions used in risk assessment specifically fail to capture physical principles of the damage-generating mechanisms to the build environment. The aim of this paper is to partially close this gap by discussing a balanced knowledge integration approach which can be used to resolve the multidisciplinary disorder in flood vulnerability research. Modelling techniques such as mathematical-physical modelling of the flood hazard impact to and response from the building envelope affected, and formative scenario analyses of possible consequences in terms of damage and loss are used in synergy to provide an enhanced understanding of vulnerability and to render the derived knowledge into interdisciplinary mitigation strategies. The outlined formal procedure allows for a convincing knowledge alignment of quantified, but partial, information about vulnerability as a result of the application of physical and engineering notions and valuable, but often underspecified, qualitative argumentation strings emerging from the adopted socio-economic viewpoint.

Determining shallow aquifer vulnerability by the DRASTIC model ...

Indian Academy of Sciences (India)

Shallow aquifer vulnerability has been assessed using GIS-based DRASTIC model by incorporating the major geological and hydrogeological factors that affect and control the groundwater contamination in a granitic terrain. It provides a relative indication of aquifer vulnerability to the contamination. Further, it has been ...

The drought risk of maize in the farming-pastoral ecotone in Northern China based on physical vulnerability assessment

Science.gov (United States)

Wang, Zhiqiang; Jiang, Jingyi; Ma, Qing

2016-12-01

Climate change is affecting every aspect of human activities, especially the agriculture. In China, extreme drought events caused by climate change have posed a great threat to food safety. In this work we aimed to study the drought risk of maize in the farming-pastoral ecotone in Northern China based on physical vulnerability assessment. The physical vulnerability curve was constructed from the relationship between drought hazard intensity index and yield loss rate. The risk assessment of agricultural drought was conducted from the drought hazard intensity index and physical vulnerability curve. The probability distribution of drought hazard intensity index decreased from south-west to north-east and increased from south-east to north-west along the rainfall isoline. The physical vulnerability curve had a reduction effect in three parts of the farming-pastoral ecotone in Northern China, which helped to reduce drought hazard vulnerability on spring maize. The risk of yield loss ratio calculated based on physical vulnerability curve was lower compared with the drought hazard intensity index, which suggested that the capacity of spring maize to resist and adapt to drought is increasing. In conclusion, the farming-pastoral ecotone in Northern China is greatly sensitive to climate change and has a high probability of severe drought hazard. Risk assessment of physical vulnerability can help better understand the physical vulnerability to agricultural drought and can also promote measurements to adapt to climate change.

Do depressive episodes lead to accumulation of vulnerability in the elderly?

NARCIS (Netherlands)

Oldehinkel, AJ; van den Berg, MD; Bouhuys, AL; Ormel, J

2003-01-01

The vulnerability-accumulation (or scarring) hypothesis postulates that the experience of depression induces a lasting increase in vulnerability, and through this raises the risk of recurrence. We examined the validity of the vulnerability-accumulation model for depressive episodes in later life.

Elements at risk as a framework for assessing the vulnerability of communities to landslides

Directory of Open Access Journals (Sweden)

M. Papathoma-Köhle

2007-12-01

Full Text Available The assessment of the vulnerability of communities prone to landslide related disasters is a topic that is growing in importance. Few studies discuss this issue and limited research has been carried out on the relationship between types of landslide and their potential impact on buildings and infrastructure. We outline a framework to undertake an assessment of the vulnerability of buildings to landslide utilising a similar framework used for assessing the vulnerability of buildings to tsunami damage. The framework is based on the development of an "elements at risk database" that takes into consideration the characteristics and use of the buildings, their importance for the local economy and the characteristics of the inhabitants (population density, age and so forth. The attributes that affect vulnerability are imported and examined within a GIS database which is used to visualise the physical, human and economic vulnerability. The results may have important implications for disaster management and emergency planning, and the database can be used by various end-users and stakeholders such as insurance companies, local authorities and the emergency services. The approach presented here can be integrated in to a wider more detailed "Framework for Landslide Risk and Vulnerability Assessment for Communities". We illustrate the potential of this framework and present preliminary results from Lichtenstein, Baden Württemberg, Germany.

Community vulnerability and stratified risk: Hegemonic masculinity, socioeconomic status, and HIV/AIDS in a sex work community in Kampala, Uganda.

Science.gov (United States)

Schmidt-Sane, Megan M

2018-01-29

This article examines the social patterning of health, economic uncertainty, hegemonic masculinity, and vulnerability among men who live and work in a low-income sex work community in Kampala, Uganda. This problematises the notion that vulnerable communities are homogenous, in demographics, economic status, and risk. This article draws on ethnographic data collected in 2016, including semi-structured interviews and participant observation. This article uses a stratified risk framework to describe the central finding of this study, which is that men's experience in Kataba is characterised by a struggle to fulfil the provider role that constitutes a core aspect of their socially ascribed gender role. In a context of economic scarcity, men's lives are fraught with strain and this intersects with other forms of risk. Finally, by focusing on community vulnerability rather than individual risk, this work contributes to theories of gender and sex work, and informs HIV/AIDS praxis.

Identification of vulnerability within a child and family health service.

Science.gov (United States)

Kimla, Katarina; Nathanson, Dania; Woolfenden, Susan; Zwi, Karen

2017-11-21

Objective The aims of the present study were to describe the prevalence of vulnerability in a cohort of newborns, identify the factors that increase the risk of vulnerability and examine whether those who are most vulnerable are receiving home visits. Methods A prospective cross-sectional study was performed using data collected from questionnaires completed by child and family health nurses and obstetric discharge summaries for each mother-baby dyad. Descriptive frequencies and percentages are used to describe the proportions of children who were vulnerable, offered services and had risk factors for vulnerability. Categorical data were compared using Pearson's Chi-squared analysis. Results In all, 1517 newborns were included in the present study. Of these, 40.5% were identified as vulnerable and 13.9% had two or more risk factors for vulnerability (95% confidence interval (CI) 12-16%). The most common risk factors were biological. Across all newborns, 33.7% were visited at home, and 74.6% of vulnerable newborns were offered a home visit. Children identified as vulnerable were more likely to have a home visit than those who were not (z for 95% CI=1.96; Pvulnerability allowed the offer of home visiting to be directed towards those most likely to benefit. What is known about the topic? Of the Australian child population, 10-20% are vulnerable to adverse health, developmental and wellbeing outcomes. Vulnerable infants are at a greater risk of becoming vulnerable children, adolescents and adults over the life course. Biological and psychosocial risk factors for vulnerability are well described. Families with the greatest need are often the least likely to access or receive support, and have lower utilisation of preventative health services despite evidence that support in the first few years of life can significantly improve long-term outcomes. What does this paper add? This paper provides a detailed description of vulnerabilities in a cohort of newborns and

Weather hazards and vulnerabilities for the European transport system - a risk panorama. EWENT project D5.1

Energy Technology Data Exchange (ETDEWEB)

Molarius, R.; Leviakangas, P.; Ronty, J.; Oiva, K. (eds.)

2012-09-15

This deliverable of EWENT project estimates the risks of extreme weather on European transport system. The main object of work package 5 in EWENT project was to perform a risk analysis based on impact and probability assessments carried out in earlier work packages (WP2-WP3). The results of WP 5 can be used as a starting point when deciding on the risk reduction measures, strategies and policies in the European Union. This deliverable also serves as a background material for the synthesis report (named shortly as Risk Panorama), which will summarise the findings of risk assessment and previous work packages. The methodological approach of EWENT is based on the generic risk management standard (IEC 60300-3-9) and starts with the identification of hazardous extreme weather phenomena, followed by an impact assessment and concluded by mitigation and risk control measures. This report pools the information from EWENT's earlier work packages, such as risk identification and estimation, into a 'risk panorama' and provides a holistic picture on the risks of extreme weather in different parts of Europe and EU transport network. The risk assessment is based on the definition of transport systems' vulnerability to extreme weather events in different countries and on calculations of the most probable causal chains, starting from adverse weather phenomena and ending up with events that pose harmful consequences to the transport systems in different climate regions. The latter part, the probabilistic section, is the hazard analysis. The vulnerability of a particular mode in a particular country is a function of exposure (indicated by transport or freight volumes and population density), susceptibility (infrastructure quality index, indicating overall resilience) and coping capacity (measured by GDP per capita). Hence, we define the extreme weather risk as Risk = hazard times vulnerability = P(negative consequences) times V[f(exposure, susceptibility, coping

A Probabilistic Typhoon Risk Model for Vietnam

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Haseemkunju, A.; Smith, D. F.; Brolley, J. M.

2017-12-01

Annually, the coastal Provinces of low-lying Mekong River delta region in the southwest to the Red River Delta region in Northern Vietnam is exposed to severe wind and flood risk from landfalling typhoons. On average, about two to three tropical cyclones with a maximum sustained wind speed of >=34 knots make landfall along the Vietnam coast. Recently, Typhoon Wutip (2013) crossed Central Vietnam as a category 2 typhoon causing significant damage to properties. As tropical cyclone risk is expected to increase with increase in exposure and population growth along the coastal Provinces of Vietnam, insurance/reinsurance, and capital markets need a comprehensive probabilistic model to assess typhoon risk in Vietnam. In 2017, CoreLogic has expanded the geographical coverage of its basin-wide Western North Pacific probabilistic typhoon risk model to estimate the economic and insured losses from landfalling and by-passing tropical cyclones in Vietnam. The updated model is based on 71 years (1945-2015) of typhoon best-track data and 10,000 years of a basin-wide simulated stochastic tracks covering eight countries including Vietnam. The model is capable of estimating damage from wind, storm surge and rainfall flooding using vulnerability models, which relate typhoon hazard to building damageability. The hazard and loss models are validated against past historical typhoons affecting Vietnam. Notable typhoons causing significant damage in Vietnam are Lola (1993), Frankie (1996), Xangsane (2006), and Ketsana (2009). The central and northern coastal provinces of Vietnam are more vulnerable to wind and flood hazard, while typhoon risk in the southern provinces are relatively low.

An Integrated and Interdisciplinary Model for Predicting the Risk of Injury and Death in Future Earthquakes.

Science.gov (United States)

Shapira, Stav; Novack, Lena; Bar-Dayan, Yaron; Aharonson-Daniel, Limor

2016-01-01

A comprehensive technique for earthquake-related casualty estimation remains an unmet challenge. This study aims to integrate risk factors related to characteristics of the exposed population and to the built environment in order to improve communities' preparedness and response capabilities and to mitigate future consequences. An innovative model was formulated based on a widely used loss estimation model (HAZUS) by integrating four human-related risk factors (age, gender, physical disability and socioeconomic status) that were identified through a systematic review and meta-analysis of epidemiological data. The common effect measures of these factors were calculated and entered to the existing model's algorithm using logistic regression equations. Sensitivity analysis was performed by conducting a casualty estimation simulation in a high-vulnerability risk area in Israel. the integrated model outcomes indicated an increase in the total number of casualties compared with the prediction of the traditional model; with regard to specific injury levels an increase was demonstrated in the number of expected fatalities and in the severely and moderately injured, and a decrease was noted in the lightly injured. Urban areas with higher populations at risk rates were found more vulnerable in this regard. The proposed model offers a novel approach that allows quantification of the combined impact of human-related and structural factors on the results of earthquake casualty modelling. Investing efforts in reducing human vulnerability and increasing resilience prior to an occurrence of an earthquake could lead to a possible decrease in the expected number of casualties.

The capability concept – On how to define and describe capability in relation to risk, vulnerability and resilience

International Nuclear Information System (INIS)

Lindbom, Hanna; Tehler, Henrik; Eriksson, Kerstin; Aven, Terje

2015-01-01

Capabilities-based planning and capability assessment are high on the agendas of several countries and organisations as part of their risk management and emergency preparedness. Despite this, few definitions of capability exist, and they are not easily related to concepts such as risk, vulnerability and resilience. The aim of the present study was thus to broaden the scientific basis of the risk field to also include the concept of capability. The proposed definition is based on a recently developed risk framework, and we define capability as the uncertainty about and the severity of the consequences of an activity given the occurrence of the initiating event and the performed task. We provide examples of how the response capability for a fictive scenario can be described using this definition, and illustrate how our definition can be used to analyse capability assessments prepared according to the Swedish crisis management system. We have analysed the content of 25 capability assessments produced in 2011 by stakeholders on local, regional and national level. It was concluded that none addressed uncertainty to any appreciable extent, and only a third described capability in terms of consequences and task, making it difficult to relate these capability assessments to risk assessments. - Highlights: • Few definitions of capability relate to definitions of risk, vulnerability and resilience. • We relate capability to risk, vulnerability and resilience. • We define capability using the components uncertainty, consequences, event and task

Hazard Experience, Geophysical Vulnerability, and Flood Risk Perceptions in a Postdisaster City, the Case of New Orleans.

Science.gov (United States)

Gotham, Kevin Fox; Campanella, Richard; Lauve-Moon, Katie; Powers, Bradford

2018-02-01

This article investigates the determinants of flood risk perceptions in New Orleans, Louisiana (United States), a deltaic coastal city highly vulnerable to seasonal nuisance flooding and hurricane-induced deluges and storm surges. Few studies have investigated the influence of hazard experience, geophysical vulnerability (hazard proximity), and risk perceptions in cities undergoing postdisaster recovery and rebuilding. We use ordinal logistic regression techniques to analyze experiential, geophysical, and sociodemographic variables derived from a survey of 384 residents in seven neighborhoods. We find that residents living in neighborhoods that flooded during Hurricane Katrina exhibit higher levels of perceived risk than those residents living in neighborhoods that did not flood. In addition, findings suggest that flood risk perception is positively associated with female gender, lower income, and direct flood experiences. In conclusion, we discuss the implications of these findings for theoretical and empirical research on environmental risk, flood risk communication strategies, and flood hazards planning. © 2017 Society for Risk Analysis.

Indicator-based model to assess vulnerability to landslides in urban areas. Case study of Husi city (Eastern Romania)

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Grozavu, Adrian; Ciprian Margarint, Mihai; Catalin Stanga, Iulian

2013-04-01

In the last three or four decades, vulnerability evolved from physical fragility meanings to a more complex concept, being a key element of risk assessment. In landslide risk assessment, there are a large series of studies regarding landslide hazard, but far fewer researches focusing on vulnerability measurement. Furthermore, there is still no unitary understanding on the methodological framework, neither any internationally agreed standard for landslide vulnerability measurements. The omnipresent common element is the existence of elements at risk, but while some approaches are limited to exposure, other focus on the degree of losses (human injuries, material damages and monetary losses, structural dysfunctions etc.). These losses are differently assessed using both absolute and relative values on qualitative or quantitative scales and they are differently integrated to provide a final vulnerability value. This study aims to assess vulnerability to landslides at local level using an indicator-based model applied to urban areas and tested for Husi town (Eastern Romania). The study region is characterized by permeable and impermeable alternating sedimentary rocks, monoclinal geological structure and hilly relief with impressive cuestas, continental temperate climate, and precipitation of about 500 mm/year, rising to 700 m and even more in some rainy years. The town is a middle size one (25000 inhabitants) and it had an ascending evolution in the last centuries, followed by an increasing human pressure on lands. Methodologically, the first step was to assess the landslide susceptibility and to identify in this way those regions within which any asset would be exposed to landslide hazards. Landslide susceptibility was assessed using the logistic regression approach, taking into account several quantitative and qualitative factors (elements of geology, morphometry, rainfall, land use etc.). The spatial background consisted in the Digital Elevation Model and all derived

The Climate Change Vulnerability and Risk Management Matrix for the Coastal Zone of The Gambia

Directory of Open Access Journals (Sweden)

Joshua Amuzu

2018-02-01

Full Text Available Global Climate Change is one of the dire challenges facing the international community today. Coastal zones are vulnerable to its impacts. An effective approach with long-term prospects in addressing climate change impacts is it’s mainstreaming into development agenda of sectoral policies. A comprehensive risk and vulnerability assessment is a pre-requisite to ensure that the right adaptive response is taken for effective integration into developmental plans. The objective of this study is to evaluate and prioritize risks, vulnerability and adaptation issues of current and anticipated impacts of climate change on the coastal zone of The Gambia. The study will also give a methodological contribution for assessing risks, vulnerability and adaptation from the sub-national to local levels. The relevance of this study will be to create a link between the sub-national and local levels in order to facilitate the integration and mainstreaming of climate change into sectoral and local policies for more climate-resilient communities. This will aid in the promotion of strategic investment of constrained developmental resources to actualize successfully dynamic coping strategies, elude ‘maladaptation’ and less compelling responsive measures. A purposive expert sampling technique was used in selecting respondents for the study. The findings of the study reveal that by the end of the 21st century, the climatic variables likely to have the highest impact on the coastal zone of The Gambia are ‘increased flood severity’ and ‘increased temperature’. The coastal zone of The Gambia showed a high vulnerability to these climate change variables. The suggested adaptive response in addressing the impacts of increased flood intensity in the study area includes; improving regulations for restricting agriculture and livestock grazing activities to improve land cover; strengthening of early-warning systems, among others. The suggested adaptive response in

Risk and social vulnerability in the sayings of Pedagogy academics

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Dinora Tereza Zucchetti

2018-02-01

Full Text Available This essay is produced from teaching experience in Higher Education. Its central problematic is the practices of students of a Pedagogy Course of a University located in the metropolitan region of Porto Alegre / RS. The text problematizes the expression of risk and social vulnerability categories in the initial formation of teachers and educators in the field of school and non-school education, considering the dimension of the pedagogical interventions developed. It seeks, ultimately, from the developed reflections, to contribute to the students training as teachers.

Vulnerability curves vs. vulnerability indicators: application of an indicator-based methodology for debris-flow hazards

Science.gov (United States)

Papathoma-Köhle, Maria

2016-08-01

The assessment of the physical vulnerability of elements at risk as part of the risk analysis is an essential aspect for the development of strategies and structural measures for risk reduction. Understanding, analysing and, if possible, quantifying physical vulnerability is a prerequisite for designing strategies and adopting tools for its reduction. The most common methods for assessing physical vulnerability are vulnerability matrices, vulnerability curves and vulnerability indicators; however, in most of the cases, these methods are used in a conflicting way rather than in combination. The article focuses on two of these methods: vulnerability curves and vulnerability indicators. Vulnerability curves express physical vulnerability as a function of the intensity of the process and the degree of loss, considering, in individual cases only, some structural characteristics of the affected buildings. However, a considerable amount of studies argue that vulnerability assessment should focus on the identification of these variables that influence the vulnerability of an element at risk (vulnerability indicators). In this study, an indicator-based methodology (IBM) for mountain hazards including debris flow (Kappes et al., 2012) is applied to a case study for debris flows in South Tyrol, where in the past a vulnerability curve has been developed. The relatively "new" indicator-based method is being scrutinised and recommendations for its improvement are outlined. The comparison of the two methodological approaches and their results is challenging since both methodological approaches deal with vulnerability in a different way. However, it is still possible to highlight their weaknesses and strengths, show clearly that both methodologies are necessary for the assessment of physical vulnerability and provide a preliminary "holistic methodological framework" for physical vulnerability assessment showing how the two approaches may be used in combination in the future.

Evaluating soil contamination risk impact on land vulnerability and climate change in east Azerbaijan, Iran

Science.gov (United States)

Shahbazi, Farzin; Anaya-Romero, Maria; de La Rosa, Diego

2010-05-01

spring, while will increase 32 and 52 percent in summer and autumn. As most of the arable land that is suitable for cultivation in the study area is already in use, chemical fertilizers application will widely obvious to increase crop production. According to 88 study points identified by grid survey method (44 consecutively profiles and augers), Typic Calcixerepts are the most dominant subgroups in the studied area. Altitude varies from 1300 to 1600m with a mean of about 1450m, and slope gradients vary from flat to more than 10%. The attainable contamination risk for two hypothetical scenarios was estimated for the natural conditions of selected soils, under current Ahar climate conditions and calculated amount according to IPCC report by application of the Pantanal model. Results showed that 32%, 25%, 4% and 27% of total studied area were classified as V1, V2, V3, and V4 vulnerable land due to phosphorous while it will not be changed by climate change. Also, attainable vulnerability classes because of heavy metals will be constant too, but the whole area subdivided as: V1 and V3 in a total of 57% and 31%, respectively. Nitrate is the major nitrogen derived pollutant and the main source of groundwater contamination because of its high mobility. According to the obtained results, nitrogen risk impact on land vulnerability will decrease by climate change while in the future scenario more than 55% of total area will classify as none vulnerable area. Assessing pesticide and climate change impact presents those four vulnerable classes: V1, V2, V3, and V4 in a total of 1%, 2%, 28% and 57% studied are while they will change to 1%, 2%, 49%, and 36%. In other words, 19% of total area will be improved by climate change.

Modeling vulnerability of groundwater to pollution under future scenarios of climate change and biofuels-related land use change: a case study in North Dakota, USA.

Science.gov (United States)

Li, Ruopu; Merchant, James W

2013-03-01

Modeling groundwater vulnerability to pollution is critical for implementing programs to protect groundwater quality. Most groundwater vulnerability modeling has been based on current hydrogeology and land use conditions. However, groundwater vulnerability is strongly dependent on factors such as depth-to-water, recharge and land use conditions that may change in response to future changes in climate and/or socio-economic conditions. In this research, a modeling framework, which employs three sets of models linked within a geographic information system (GIS) environment, was used to evaluate groundwater pollution risks under future climate and land use changes in North Dakota. The results showed that areas with high vulnerability will expand northward and/or northwestward in Eastern North Dakota under different scenarios. GIS-based models that account for future changes in climate and land use can help decision-makers identify potential future threats to groundwater quality and take early steps to protect this critical resource. Copyright © 2013 Elsevier B.V. All rights reserved.

Karst groundwater protection: First application of a Pan-European Approach to vulnerability, hazard and risk mapping in the Sierra de Libar (Southern Spain)

International Nuclear Information System (INIS)

Andreo, Bartolome; Goldscheider, Nico; Vadillo, Inaki; Vias, Jesus Maria; Neukum, Christoph; Sinreich, Michael; Jimenez, Pablo; Brechenmacher, Julia; Carrasco, Francisco; Hoetzl, Heinz; Perles, Maria Jesus; Zwahlen, Francois

2006-01-01

The European COST action 620 proposed a comprehensive approach to karst groundwater protection, comprising methods of intrinsic and specific vulnerability mapping, validation of vulnerability maps, hazard and risk mapping. This paper presents the first application of all components of this Pan-European Approach to the Sierra de Libar, a karst hydrogeology system in Andalusia, Spain. The intrinsic vulnerability maps take into account the hydrogeological characteristics of the area but are independent from specific contaminant properties. Two specific vulnerability maps were prepared for faecal coliforms and BTEX. These maps take into account the specific properties of these two groups of contaminants and their interaction with the karst hydrogeological system. The vulnerability assessment was validated by means of tracing tests, hydrological, hydrochemical and isotope methods. The hazard map shows the localization of potential contamination sources resulting from human activities, and evaluates those according to their dangerousness. The risk of groundwater contamination depends on the hazards and the vulnerability of the aquifer system. The risk map for the Sierra de Libar was thus created by overlaying the hazard and vulnerability maps

Karst groundwater protection: First application of a Pan-European Approach to vulnerability, hazard and risk mapping in the Sierra de Libar (Southern Spain)

Energy Technology Data Exchange (ETDEWEB)

Andreo, Bartolome [Group of Hydrogeology, Faculty of Science, University of Malaga, Campus de Teatinos, E-29071 Malaga (Spain)]. E-mail: Andreo@uma.es; Goldscheider, Nico [Centre of Hydrogeology, University of Neuchatel, 11 rue Emile-Argand, CH-2007 Neuchatel (Switzerland); Vadillo, Inaki [Group of Hydrogeology, Faculty of Science, University of Malaga, Campus de Teatinos, E-29071 Malaga (Spain); Vias, Jesus Maria [Group of Hydrogeology, Faculty of Science, University of Malaga, Campus de Teatinos, E-29071 Malaga (Spain); Neukum, Christoph [Department of Applied Geology, University of Karlsruhe, Kaiserstrasse, 12, D-76128 Karlsruhe (Germany); Sinreich, Michael [Centre of Hydrogeology, University of Neuchatel, 11 rue Emile-Argand, CH-2007 Neuchatel (Switzerland); Jimenez, Pablo [Group of Hydrogeology, Faculty of Science, University of Malaga, Campus de Teatinos, E-29071 Malaga (Spain); Brechenmacher, Julia [Department of Applied Geology, University of Karlsruhe, Kaiserstrasse, 12, D-76128 Karlsruhe (Germany); Carrasco, Francisco [Group of Hydrogeology, Faculty of Science, University of Malaga, Campus de Teatinos, E-29071 Malaga (Spain); Hoetzl, Heinz [Department of Applied Geology, University of Karlsruhe, Kaiserstrasse, 12, D-76128 Karlsruhe (Germany); Perles, Maria Jesus [Group of Hydrogeology, Faculty of Science, University of Malaga, Campus de Teatinos, E-29071 Malaga (Spain); Zwahlen, Francois [Centre of Hydrogeology, University of Neuchatel, 11 rue Emile-Argand, CH-2007 Neuchatel (Switzerland)

2006-03-15

The European COST action 620 proposed a comprehensive approach to karst groundwater protection, comprising methods of intrinsic and specific vulnerability mapping, validation of vulnerability maps, hazard and risk mapping. This paper presents the first application of all components of this Pan-European Approach to the Sierra de Libar, a karst hydrogeology system in Andalusia, Spain. The intrinsic vulnerability maps take into account the hydrogeological characteristics of the area but are independent from specific contaminant properties. Two specific vulnerability maps were prepared for faecal coliforms and BTEX. These maps take into account the specific properties of these two groups of contaminants and their interaction with the karst hydrogeological system. The vulnerability assessment was validated by means of tracing tests, hydrological, hydrochemical and isotope methods. The hazard map shows the localization of potential contamination sources resulting from human activities, and evaluates those according to their dangerousness. The risk of groundwater contamination depends on the hazards and the vulnerability of the aquifer system. The risk map for the Sierra de Libar was thus created by overlaying the hazard and vulnerability maps.

An agent-based model of flood risk and insurance

NARCIS (Netherlands)

Dubbelboer, J.; Nikolic, I.; Jenkins, K.; Hall, J

2017-01-01

Flood risk emerges from the dynamic interaction between natural hazards and human vulnerability. Methods for the quantification of flood risk are well established, but tend to deal with human and economic vulnerability as being static or changing with an exogenously defined trend. In this paper

A Move in the Security Measurement Stalemate: Elo-Style Ratings to Quantify Vulnerability

DEFF Research Database (Denmark)

Pieters, Wolter; van der Ven, Sanne H.G.; Probst, Christian W.

2012-01-01

One of the big problems of risk assessment in information security is the quantification of risk-related properties, such as vulnerability. Vulnerability expresses the likelihood that a threat agent acting against an asset will cause impact, for example, the likelihood that an attacker will be ab...... to its application to children solving math problems. It provides an innovative and sound way to quantify vulnerability in models of (information) security.......One of the big problems of risk assessment in information security is the quantification of risk-related properties, such as vulnerability. Vulnerability expresses the likelihood that a threat agent acting against an asset will cause impact, for example, the likelihood that an attacker will be able......-interprets security from the field of Item Response Theory. By observing the success of threat agents against assets, one can rate the strength of threats and controls, and predict the vulnerability of systems to particular threats. The application of Item Response Theory to the field of risk is new, but analogous...

A modeling ontology for integrating vulnerabilities into security requirements conceptual foundations

NARCIS (Netherlands)

Elahi, G.; Yu, E.; Zannone, N.; Laender, A.H.F.; Castano, S.; Dayal, U.; Casati, F.; Palazzo Moreira de Oliveira, J.

2009-01-01

Vulnerabilities are weaknesses in the requirements, design, and implementation, which attackers exploit to compromise the system. This paper proposes a vulnerability-centric modeling ontology, which aims to integrate empirical knowledge of vulnerabilities into the system development process. In

Wildland fire risk and social vulnerability in the Southeastern United States: An exploratory spatial data analysis approach

Science.gov (United States)

Cassandra Johnson Gaither; Neelam C. Poudyal; Scott Goodrick; J. M. Bowker; Sparkle L Malone; Jianbang. Gan

2011-01-01

The southeastern U.S. is one of the more wildland fire prone areas of the country and also contains some of the poorest or most socially vulnerable rural communities. Our project addresses wildland fire risk in this part of the U.S and its intersection with social vulnerability. We examine spatial association between high wildland fire prone areas which also rank high...

Applying the Flood Vulnerability Index as a Knowledge base for flood risk assessment

NARCIS (Netherlands)

Balica, S-F.

2012-01-01

Floods are one of the most common and widely distributed natural risks to life and property worldwide. An important part of modern flood risk management is to evaluate vulnerability to floods. This evaluation can be done only by using a parametric approach. Worldwide there is a need to enhance our

The Components of Community Awareness and Preparedness; its Effects on the Reduction of Tsunami Vulnerability and Risk

Science.gov (United States)

Tufekci, Duygu; Lutfi Suzen, Mehmet; Cevdet Yalciner, Ahmet

2017-04-01

The resilience of coastal communities against tsunamis are dependent on preparedness of the communities. Preparedness covers social and structural components which increases with the awareness in the community against tsunamis. Therefore, proper evaluation of all components of preparedness will help communities to reduce the adverse effects of tsunamis and increase the overall resilience of communities. On the other hand, the complexity of the metropolitan life with its social and structural components necessitates explicit vulnerability assessments for proper determination of tsunami risk, and development of proper mitigation strategies and recovery plans. Assessing the vulnerability and resilience level of a region against tsunamis and efforts for reducing the tsunami risk are the key components of disaster management. Since increasing the awareness of coastal communities against tsunamis is one of the main objectives of disaster management, then it should be considered as one of the parameter in tsunami risk analysis. In the method named MetHuVA (METU - Metropolitan Human Tsunami Vulnerability Assessment) proposed by Cankaya et al., (2016) and Tufekci et al., (2016), the awareness and preparedness level of the community is revealed to be an indispensable parameter with a great effect on tsunami risk. According to the results obtained from those studies, it becomes important that the awareness and preparedness parameter (n) must be analyzed by considering their interaction and all related components. While increasing awareness can be achieved, vulnerability and risk will be reduced. In this study the components of awareness and preparedness parameter (n) is analyzed in different categories by considering administrative, social, educational, economic and structural preparedness of the coastal communities. Hence the proposed awareness and preparedness parameter can properly be analyzed and further improvements can be achieved in vulnerability and risk analysis

Assessment of the vulnerability and the resilience of the population at risk of multi-hazard: a support to geo-risk management in Central Africa

Science.gov (United States)

Michellier, Caroline; Kervyn, François; Tréfon, Théodore; Wolff, Eléonore

2013-04-01

GeoRisCA is a project which aims at studying the geo-risk in the Kivu region (DRC, Rwanda, Burundi), in order to support risk management. The approach developed in GeoRisCA combines methodologies from various disciplines, which will allow the analyses of seismic, volcanic and mass-movement hazards and the vulnerability assessment of the threatened elements. Vulnerability is a complex concept which is commonly defined as the susceptibility of the population, the infrastructures and the natural ecosystems to suffer from damages if a hazard occurs. The densely populated area extended from the North Kivu province in Democratic Republic of the Congo (DRC) to North Burundi and East Rwanda is vulnerable to several geohazards, such as landslides triggered by geodynamical processes (climate, seismicity, volcanism) and possibly worsen by anthropic actions. Located in the East African rift valley, the region is also characterized by a strong seismicity, with increasing people and infrastructure exposed. In addition, east DRC hosts the two most active African volcanoes: Nyiragongo and Nyamulagira. Their activity can have serious impacts, as in 2002 when Nyiragongo directly endangers the ~800.000 inhabitants of Goma city, located ~15 km to the south. Linked to passive volcanic degassing, SO2 and CO2 discharge may also increase the population vulnerability(morbidity, mortality). Focusing specifically on this region, the vulnerability assessment methodology developed in GeoRisCA takes into account "exposure to perturbations" and "adaptive capacity or resilience" of the vulnerable systems. On one hand, the exposure is identified as the potential degree of loss of a given element or set of elements at risk; i.e., the susceptibility of people, infrastructures and buildings with respect to a hazard (social vulnerability). It focuses mainly on land use, and on demographic and socio-economic factors that increase or attenuate the impacts of hazards events on local populations. On the

Refining the vulnerability model of low self-esteem and depression: Disentangling the effects of genuine self-esteem and narcissism.

Science.gov (United States)

Orth, Ulrich; Robins, Richard W; Meier, Laurenz L; Conger, Rand D

2016-01-01

A growing body of research supports the vulnerability model of low self-esteem and depression, which states that low self-esteem is a risk factor for depression. The goal of the present research was to refine the vulnerability model, by testing whether the self-esteem effect is truly due to a lack of genuine self-esteem or due to a lack of narcissistic self-enhancement. For the analyses, we used data from 6 longitudinal studies consisting of 2,717 individuals. In each study, we tested the prospective effects of self-esteem and narcissism on depression both separately for each construct and mutually controlling the constructs for each other (i.e., a strategy that informs about effects of genuine self-esteem and pure narcissism), and then meta-analytically aggregated the findings. The results indicated that the effect of low self-esteem holds when narcissism is controlled for (uncontrolled effect = -.26, controlled effect = -.27). In contrast, the effect of narcissism was close to zero when self-esteem was controlled for (uncontrolled effect = -.06, controlled effect = .01). Moreover, the analyses suggested that the self-esteem effect is linear across the continuum from low to high self-esteem (i.e., the effect was not weaker at very high levels of self-esteem). Finally, self-esteem and narcissism did not interact in their effect on depression; that is, individuals with high self-esteem have a lower risk for developing depression, regardless of whether or not they are narcissistic. The findings have significant theoretical implications because they strengthen the vulnerability model of low self-esteem and depression. (c) 2016 APA, all rights reserved).

A model for assessing the systemic vulnerability in landslide prone areas

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S. Pascale

2010-07-01

Full Text Available The objectives of spatial planning should include the definition and assessment of possible mitigation strategies regarding the effects of natural hazards on the surrounding territory. Unfortunately, however, there is often a lack of adequate tools to provide necessary support to the local bodies responsible for land management. This paper deals with the conception, the development and the validation of an integrated numerical model for assessing systemic vulnerability in complex and urbanized landslide-prone areas. The proposed model considers this vulnerability not as a characteristic of a particular element at risk, but as a peculiarity of a complex territorial system, in which the elements are reciprocally linked in a functional way. It is an index of the tendency of a given territorial element to suffer damage (usually of a functional kind due to its interconnections with other elements of the same territorial system. The innovative nature of this work also lies in the formalization of a procedure based on a network of influences for an adequate assessment of such "systemic" vulnerability.

This approach can be used to obtain information which is useful, in any given situation of a territory hit by a landslide event, for the identification of the element which has suffered the most functional damage, ie the most "critical" element and the element which has the greatest repercussions on other elements of the system and thus a "decisive" role in the management of the emergency.

This model was developed within a GIS system through the following phases:

1. the topological characterization of the territorial system studied and the assessment of the scenarios in terms of spatial landslide hazard. A statistical method, based on neural networks was proposed for the assessment of landslide hazard;

2. the analysis of the direct consequences of a scenario event on the system;

3. the definition of the

Socio-economic vulnerability to natural hazards - proposal for an indicator-based model

Science.gov (United States)

Eidsvig, U.; McLean, A.; Vangelsten, B. V.; Kalsnes, B.; Ciurean, R. L.; Argyroudis, S.; Winter, M.; Corominas, J.; Mavrouli, O. C.; Fotopoulou, S.; Pitilakis, K.; Baills, A.; Malet, J. P.

2012-04-01

Vulnerability assessment, with respect to natural hazards, is a complex process that must consider multiple dimensions of vulnerability, including both physical and social factors. Physical vulnerability refers to conditions of physical assets, and may be modeled by the intensity and magnitude of the hazard, the degree of physical protection provided by the natural and built environment, and the physical robustness of the exposed elements. Social vulnerability refers to the underlying factors leading to the inability of people, organizations, and societies to withstand impacts from the natural hazards. Social vulnerability models can be used in combination with physical vulnerability models to estimate both direct losses, i.e. losses that occur during and immediately after the impact, as well as indirect losses, i.e. long-term effects of the event. Direct impact of a landslide typically includes casualties and damages to buildings and infrastructure while indirect losses may e.g. include business closures or limitations in public services. The direct losses are often assessed using physical vulnerability indicators (e.g. construction material, height of buildings), while indirect losses are mainly assessed using social indicators (e.g. economical resources, demographic conditions). Within the EC-FP7 SafeLand research project, an indicator-based method was proposed to assess relative socio-economic vulnerability to landslides. The indicators represent the underlying factors which influence a community's ability to prepare for, deal with, and recover from the damage associated with landslides. The proposed model includes indicators representing demographic, economic and social characteristics as well as indicators representing the degree of preparedness and recovery capacity. Although the model focuses primarily on the indirect losses, it could easily be extended to include more physical indicators which account for the direct losses. Each indicator is individually

Predicting organismal vulnerability to climate warming: roles of behaviour, physiology and adaptation

Science.gov (United States)

Huey, Raymond B.; Kearney, Michael R.; Krockenberger, Andrew; Holtum, Joseph A. M.; Jess, Mellissa; Williams, Stephen E.

2012-01-01

A recently developed integrative framework proposes that the vulnerability of a species to environmental change depends on the species' exposure and sensitivity to environmental change, its resilience to perturbations and its potential to adapt to change. These vulnerability criteria require behavioural, physiological and genetic data. With this information in hand, biologists can predict organisms most at risk from environmental change. Biologists and managers can then target organisms and habitats most at risk. Unfortunately, the required data (e.g. optimal physiological temperatures) are rarely available. Here, we evaluate the reliability of potential proxies (e.g. critical temperatures) that are often available for some groups. Several proxies for ectotherms are promising, but analogous ones for endotherms are lacking. We also develop a simple graphical model of how behavioural thermoregulation, acclimation and adaptation may interact to influence vulnerability over time. After considering this model together with the proxies available for physiological sensitivity to climate change, we conclude that ectotherms sharing vulnerability traits seem concentrated in lowland tropical forests. Their vulnerability may be exacerbated by negative biotic interactions. Whether tropical forest (or other) species can adapt to warming environments is unclear, as genetic and selective data are scant. Nevertheless, the prospects for tropical forest ectotherms appear grim. PMID:22566674

Quantitative risk analysis using vulnerability indicators to assess food insecurity in the Niayes agricultural region of West Senegal

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Mateugue Diack

2017-11-01

Full Text Available There is an increasing need to develop indicators of vulnerability and adaptive capacity to determine the robustness of response strategies over time and better understand the underlying processes. This study aimed to determine levels of risk of food insecurity using defined vulnerability indicators. For the purpose of this study, factors influencing food insecurity and different vulnerable indicators were examined using quantitative and qualitative research methods. Observations made on the physical environment (using tools for spatial analysis and socio-economic surveys conducted with local populations have quantified vulnerability indicators in the Niayes agricultural region. Application of the Classification and Regression Tree (CART model has enabled us to quantify the level of vulnerability of the zone. The results show that the decrease in agricultural surface areas is the most discriminant one in this study. The speed of reduction of the agricultural areas has specially increased between 2009 and 2014, with a loss of 65% of these areas. Therefore, a decision-making system, centred on the need for reinforcing the resilience of local populations, by preserving the agricultural vocation of the Niayes region and even in the Sahelian regions requires support and extension services for the farmers in order to promote sustainable agricultural practices.

Coastal Vulnerability and risk assessment of infrastructures, natural and cultural heritage sites in Greece.

Science.gov (United States)

Alexandrakis, George; Kampanis, Nikolaos

2016-04-01

The majority of human activities are concentrated around coastal areas, making coastline retreat, a significant threat to coastal infrastructure, thus increasing protection cost and investment revenue losses. In this study the management of coastal areas in terms of protecting coastal infrastructures, cultural and environmental heritage sites, through risk assessment analysis is been made. The scope is to provide data for spatial planning for future developments in the coastal zone and the protection of existing ones. Also to determine the impact of coastal changes related to the loss of natural resources, agricultural land and beaches. The analysis is based on a multidisciplinary approach, combining environmental, spatial and economic data. This can be implemented by integrating the assessment of vulnerability of coasts, the spatial distribution and structural elements of coastal infrastructure (transport, tourism, and energy) and financial data by region, in a spatial database. The approach is based on coastal vulnerability estimations, considering sea level rise, land loss, extreme events, safety, adaptability and resilience of infrastructure and natural sites. It is based on coupling of environmental indicators and econometric models to determine the socio-economic impact in coastal infrastructure, cultural and environmental heritage sites. The indicators include variables like the coastal geomorphology; coastal slope; relative sea-level rise rate; shoreline erosion/accretion rate; mean tidal range and mean wave height. The anthropogenic factors include variables like settlements, sites of cultural heritage, transport networks, land uses, significance of infrastructure (e.g. military, power plans) and economic activities. The analysis in performed by a GIS application. The forcing variables are determined with the use of sub-indices related to coastal geomorphology, climate and wave variables and the socioeconomics of the coastal zone. The Greek coastline in

Coping with global environmental change, disasters and security. Threats, challenges, vulnerabilities and risks

Energy Technology Data Exchange (ETDEWEB)

Brauch, Hans Guenter [Freie Univ. Berlin (Germany). Dept. of Political and Social Sciences; UNU-EHS, Bonn (DE). College of Associated Scientists and Advisors (CASA); Oswald Spring, Ursula [National Univ. of Mexico, Cuernavaca (MX). Regional Multidisciplinary Research Centre (CRIM); Mesjasz, Czeslaw [Cracow Univ. of Exonomics (Poland). Faculty of Management; Grin, John [Amsterdam Univ. (Netherlands). Dept. of Political Science; Dutch Knowledge network for Systems Innovations and Transitions (KSI), Amsterdam (Netherlands); Kameri-Mbote, Patricia [Strathmore Univ., Nairobi (Kenya). Dept. of Law; International Environmental Law Research Centre, Nairobi (Kenya); Chourou, Bechir [Univ. of Tunis-Carthage, Hammam-Chatt (Tunisia); Dunay, Pal [Geneva Centre for Security Policy (Switzerland). International Training Course in Security Policy; Birkmann, Joern (eds.) [United Nations Univ. (UNU), Bonn (DE). Inst. for Environment and Human Security (EHS)

2011-07-01

This policy-focused Global Environmental and Human Security Handbook for the Anthropo-cene (GEHSHA) addresses new security threats, challenges, vulnerabilities and risks posed by global environmental change and disasters. In 6 forewords, 5 preface essays 95 peer reviewed chapcountries analyse in 10 parts concepts of military and political hard security and economic, social, environmental soft security with a regional focus on the Near East, North and Sub-Sahara Africa and Asia and on hazards in urban centres. The major focus is on coping with global environmental change: climate change, desertification, water, food and health and with hazards and strategies on social vulnerability and resilience building and scientific, international, regional and national political strategies, policies and measures including early warning of conflicts and hazards. The book proposes a political geo-ecology and discusses a 'Fourth Green Revolution' for the Anthropocene era of earth history. (orig.)

A Vulnerability-Based, Bottom-up Assessment of Future Riverine Flood Risk Using a Modified Peaks-Over-Threshold Approach and a Physically Based Hydrologic Model

Science.gov (United States)

Knighton, James; Steinschneider, Scott; Walter, M. Todd

2017-12-01

There is a chronic disconnection among purely probabilistic flood frequency analysis of flood hazards, flood risks, and hydrological flood mechanisms, which hamper our ability to assess future flood impacts. We present a vulnerability-based approach to estimating riverine flood risk that accommodates a more direct linkage between decision-relevant metrics of risk and the dominant mechanisms that cause riverine flooding. We adapt the conventional peaks-over-threshold (POT) framework to be used with extreme precipitation from different climate processes and rainfall-runoff-based model output. We quantify the probability that at least one adverse hydrologic threshold, potentially defined by stakeholders, will be exceeded within the next N years. This approach allows us to consider flood risk as the summation of risk from separate atmospheric mechanisms, and supports a more direct mapping between hazards and societal outcomes. We perform this analysis within a bottom-up framework to consider the relevance and consequences of information, with varying levels of credibility, on changes to atmospheric patterns driving extreme precipitation events. We demonstrate our proposed approach using a case study for Fall Creek in Ithaca, NY, USA, where we estimate the risk of stakeholder-defined flood metrics from three dominant mechanisms: summer convection, tropical cyclones, and spring rain and snowmelt. Using downscaled climate projections, we determine how flood risk associated with a subset of mechanisms may change in the future, and the resultant shift to annual flood risk. The flood risk approach we propose can provide powerful new insights into future flood threats.

Predicting Vulnerability Risks Using Software Characteristics

Science.gov (United States)

Roumani, Yaman

2012-01-01

Software vulnerabilities have been regarded as one of the key reasons for computer security breaches that have resulted in billions of dollars in losses per year (Telang and Wattal 2005). With the growth of the software industry and the Internet, the number of vulnerability attacks and the ease with which an attack can be made have increased. From…

evaluation of models for assessing groundwater vulnerability

African Journals Online (AJOL)

DR. AMINU

applied models for groundwater vulnerability assessment mapping. The appraoches .... The overall 'pollution potential' or DRASTIC index is established by applying the formula: DRASTIC Index: ... affected by the structure of the soil surface.

Adaptive pathways and coupled infrastructure: seven centuries of adaptation to water risk and the production of vulnerability in Mexico City

Directory of Open Access Journals (Sweden)

Beth Tellman

2018-03-01

Full Text Available Infrastructure development is central to the processes that abate and produce vulnerabilities in cities. Urban actors, especially those with power and authority, perceive and interpret vulnerability and decide when and how to adapt. When city managers use infrastructure to reduce urban risk in the complex, interconnected city system, new fragilities are introduced because of inherent system feedbacks. We trace the interactions between system dynamics and decision-making processes over 700 years of Mexico City's adaptations to water risks, focusing on the decision cycles of public infrastructure providers (in this case, government authorities. We bring together two lenses in examining this history: robustness-vulnerability trade-offs to explain the evolution of systemic risk dynamics mediated by feedback control, and adaptation pathways to focus on the evolution of decision cycles that motivate significant infrastructure investments. Drawing from historical accounts, archeological evidence, and original research on water, engineering, and cultural history, we examine adaptation pathways of humans settlement, water supply, and flood risk. Mexico City's history reveals insights that expand the theory of coupled infrastructure and lessons salient to contemporary urban risk management: (1 adapting by spatially externalizing risks can backfire: as cities expand, such risks become endogenous; (2 over time, adaptation pathways initiated to address specific risks may begin to intersect, creating complex trade-offs in risk management; and (3 city authorities are agents of risk production: even in the face of new exogenous risks (climate change, acknowledging and managing risks produced endogenously may prove more adaptive. History demonstrates that the very best solutions today may present critical challenges for tomorrow, and that collectively people have far more agency in and influence over the complex systems we live in than is often acknowledged.

Applying and validating the PTVA-3 Model at the Aeolian Islands, Italy: assessment of the vulnerability of buildings to tsunamis

Directory of Open Access Journals (Sweden)

F. Dall'Osso

2010-07-01

Full Text Available The volcanic archipelago of the Aeolian Islands (Sicily, Italy is included on the UNESCO World Heritage list and is visited by more than 200 000 tourists per year. Due to its geological characteristics, the risk related to volcanic and seismic activity is particularly high. Since 1916 the archipelago has been hit by eight local tsunamis. The most recent and intense of these events happened on 30 December 2002. It was triggered by two successive landslides along the north-western side of the Stromboli volcano (Sciara del Fuoco, which poured approximately 2–3×10⁷ m³ of rocks and debris into the Tyrrhenian Sea. The waves impacted across the whole archipelago, but most of the damage to buildings and infrastructures occurred on the islands of Stromboli (maximum run-up 11 m and Panarea.

The aim of this study is to assess the vulnerability of buildings to damage from tsunamis located within the same area inundated by the 2002 event. The assessment is carried out by using the PTVA-3 Model (Papathoma Tsunami Vulnerability Assessment, version 3. The PTVA-3 Model calculates a Relative Vulnerability Index (RVI for every building, based on a set of selected physical and structural attributes. Run-up values within the area inundated by the 2002 tsunami were measured and mapped by the Istituto Italiano di Geofisica e Vulcanologia (INGV and the University of Bologna during field surveys in January 2003. Results of the assessment show that if the same tsunami were to occur today, 54 buildings would be affected in Stromboli, and 5 in Panarea. The overall vulnerability level obtained in this analysis for Stromboli and Panarea are "average"/"low" and "very low", respectively. Nonetheless, 14 buildings in Stromboli are classified as having a "high" or "average" vulnerability. For some buildings, we were able to validate the RVI scores calculated by the PTVA-3 Model through a qualitative comparison with photographs taken by INGV and

Assessment of groundwater contamination risk using hazard quantification, a modified DRASTIC model and groundwater value, Beijing Plain, China.

Science.gov (United States)

Wang, Junjie; He, Jiangtao; Chen, Honghan

2012-08-15

Groundwater contamination risk assessment is an effective tool for groundwater management. Most existing risk assessment methods only consider the basic contamination process based upon evaluations of hazards and aquifer vulnerability. In view of groundwater exploitation potentiality, including the value of contamination-threatened groundwater could provide relatively objective and targeted results to aid in decision making. This study describes a groundwater contamination risk assessment method that integrates hazards, intrinsic vulnerability and groundwater value. The hazard harmfulness was evaluated by quantifying contaminant properties and infiltrating contaminant load, the intrinsic aquifer vulnerability was evaluated using a modified DRASTIC model and the groundwater value was evaluated based on groundwater quality and aquifer storage. Two groundwater contamination risk maps were produced by combining the above factors: a basic risk map and a value-weighted risk map. The basic risk map was produced by overlaying the hazard map and the intrinsic vulnerability map. The value-weighted risk map was produced by overlaying the basic risk map and the groundwater value map. Relevant validation was completed by contaminant distributions and site investigation. Using Beijing Plain, China, as an example, thematic maps of the three factors and the two risks were generated. The thematic maps suggested that landfills, gas stations and oil depots, and industrial areas were the most harmful potential contamination sources. The western and northern parts of the plain were the most vulnerable areas and had the highest groundwater value. Additionally, both the basic and value-weighted risk classes in the western and northern parts of the plain were the highest, indicating that these regions should deserve the priority of concern. Thematic maps should be updated regularly because of the dynamic characteristics of hazards. Subjectivity and validation means in assessing the

Modelling the changing cumulative vulnerability to climate-related hazards for river basin management using a GIS-based multicriteria decision approach

Science.gov (United States)

Hung, Hung-Chih; Wu, Ju-Yu; Hung, Chih-Hsuan

2017-04-01

1. Background Asia-Pacific region is one of the most vulnerable areas of the world to climate-related hazards and extremes due to rapid urbanization and over-development in hazard-prone areas. It is thus increasingly recognized that the management of land use and reduction of hazard risk are inextricably linked. This is especially critical from the perspective of integrated river basin management. A range of studies has targeted existing vulnerability assessments. However, limited attention has been paid to the cumulative effects of multiple vulnerable factors and their dynamics faced by local communities. This study proposes a novel methodology to access the changing cumulative vulnerability to climate-related hazards, and to examine the relationship between the attraction factors relevant to the general process of urbanization and vulnerability variability with a focus on a river basin management unit. 2. Methods and data The methods applied in this study include three steps. First, using Intergovernmental Panel on Climate Change's (IPCC) approach, a Cumulative Vulnerability Assessment Framework (CVAF) is built with a goal to characterize and compare the vulnerability to climate-related hazards within river basin regions based on a composition of multiple indicators. We organize these indicator metrics into three categories: (1) hazard exposure; (2) socioeconomic sensitivity, and (3) adaptive capacity. Second, the CVAF is applied by combining a geographical information system (GIS)-based spatial statistics technique with a multicriteria decision analysis (MCDA) to assess and map the changing cumulative vulnerability, comparing conditions in 1996 and 2006 in Danshui River Basin, Taiwan. Third, to examine the affecting factors of vulnerability changing, we develop a Vulnerability Changing Model (VCM) using four attraction factors to reflect how the process of urban developments leads to vulnerability changing. The factors are transport networks, land uses

Edgeware Security Risk Management: A Three Essay Thesis on Cloud, Virtualization and Wireless Grid Vulnerabilities

Science.gov (United States)

Brooks, Tyson T.

2013-01-01

This thesis identifies three essays which contribute to the foundational understanding of the vulnerabilities and risk towards potentially implementing wireless grid Edgeware technology in a virtualized cloud environment. Since communication networks and devices are subject to becoming the target of exploitation by hackers (e.g. individuals who…

Vulnerability and hydrogeologic risk of SAG in the outcroupping zone of Rivera Uruguay

International Nuclear Information System (INIS)

Collazo, P.; Montano, J.; Auge, M.; jmont@fcien.edu.uy mpauge@ciudad.com.ar

2007-01-01

The studied area belongs to the outcroupping zone of the Guarani Aquifer in the Department of Rivera, Uruguay. It comprises an approximate area of 2900 Km2. The outcropping Guarani Aquifer (AGa) is formed by two sections, an upper one corresponding to the Rivera Unit (UR) and a lower one corresponding to the Tacuarembo Unit (UT), both with vertical hydraulic continuity. The Rivera Unit is entirely represented by the homonymous formation and it consists of medium to fine sandstones with a mean effective porosity of 14% and mean Transmissivity of 88 m2/dia. The Tacuarembo Unit is constituted by fine to very fine sandstone levels interbedded with pelitic sandstone and shales. This unit behaves like unconfined aquifer in the upper section, where it contains the phreatic layer and it passes to semi-confined as the depth increases. The effective porosity is approximatelly of 9% and mean T 24 m2/dia. Chemically, both units are classified as calcicbicarbonated and magnesic-bicarbonated. To determine the vulnerability, it was applied the GOD method yielding high vulnerability for levels lower than 10m and moderate for levels of water larger than 10m. From the study of risk the conclusions are: high risk of groundwater contamination due to the lack of sewage systems and to the rubbish dump leakage. The industrial activity, cemeteries and mining activity represents moderated risks in most of the cases

Transparent Global Seismic Hazard and Risk Assessment

Science.gov (United States)

Smolka, Anselm; Schneider, John; Pinho, Rui; Crowley, Helen

2013-04-01

Vulnerability to earthquakes is increasing, yet advanced reliable risk assessment tools and data are inaccessible to most, despite being a critical basis for managing risk. Also, there are few, if any, global standards that allow us to compare risk between various locations. The Global Earthquake Model (GEM) is a unique collaborative effort that aims to provide organizations and individuals with tools and resources for transparent assessment of earthquake risk anywhere in the world. By pooling data, knowledge and people, GEM acts as an international forum for collaboration and exchange, and leverages the knowledge of leading experts for the benefit of society. Sharing of data and risk information, best practices, and approaches across the globe is key to assessing risk more effectively. Through global projects, open-source IT development and collaborations with more than 10 regions, leading experts are collaboratively developing unique global datasets, best practice, open tools and models for seismic hazard and risk assessment. Guided by the needs and experiences of governments, companies and citizens at large, they work in continuous interaction with the wider community. A continuously expanding public-private partnership constitutes the GEM Foundation, which drives the collaborative GEM effort. An integrated and holistic approach to risk is key to GEM's risk assessment platform, OpenQuake, that integrates all above-mentioned contributions and will become available towards the end of 2014. Stakeholders worldwide will be able to calculate, visualise and investigate earthquake risk, capture new data and to share their findings for joint learning. Homogenized information on hazard can be combined with data on exposure (buildings, population) and data on their vulnerability, for loss assessment around the globe. Furthermore, for a true integrated view of seismic risk, users can add social vulnerability and resilience indices to maps and estimate the costs and benefits

Assessment of volcanic hazards, vulnerability, risk and uncertainty (Invited)

Science.gov (United States)

Sparks, R. S.

2009-12-01

many sources of uncertainty in forecasting the areas that volcanic activity will effect and the severity of the effects. Uncertainties arise from: natural variability, inadequate data, biased data, incomplete data, lack of understanding of the processes, limitations to predictive models, ambiguity, and unknown unknowns. The description of volcanic hazards is thus necessarily probabilistic and requires assessment of the attendant uncertainties. Several issues arise from the probabilistic nature of volcanic hazards and the intrinsic uncertainties. Although zonation maps require well-defined boundaries for administrative pragmatism, such boundaries cannot divide areas that are completely safe from those that are unsafe. Levels of danger or safety need to be defined to decide on and justify boundaries through the concepts of vulnerability and risk. More data, better observations, improved models may reduce uncertainties, but can increase uncertainties and may lead to re-appraisal of zone boundaries. Probabilities inferred by statistical techniques are hard to communicate. Expert elicitation is an emerging methodology for risk assessment and uncertainty evaluation. The method has been applied at one major volcanic crisis (Soufrière Hills Volcano, Montserrat), and is being applied in planning for volcanic crises at Vesuvius.

Social risk, stigma and space: key concepts for understanding HIV vulnerability among black men who have sex with men in New York City.

Science.gov (United States)

Parker, Caroline M; Garcia, Jonathan; Philbin, Morgan M; Wilson, Patrick A; Parker, Richard G; Hirsch, Jennifer S

2017-03-01

Black men who have sex with men in the USA face disproportionate incidence rates of HIV. This paper presents findings from an ethnographic study conducted in New York City that explored the structural and socio-cultural factors shaping men's sexual relationships with the goal of furthering understandings of their HIV-related vulnerability. Methods included participant observation and in-depth interviews with 31 Black men who have sex with men (three times each) and 17 key informants. We found that HIV vulnerability is perceived as produced through structural inequalities including economic insecurity, housing instability, and stigma and discrimination. The theoretical concepts of social risk, intersectional stigma, and the social production of space are offered as lenses through which to analyse how structural inequalities shape HIV vulnerability. We found that social risk shaped HIV vulnerability by influencing men's decisions in four domains: 1) where to find sexual partners, 2) where to engage in sexual relationships, 3) what kinds of relationships to seek, and 4) whether to carry and to use condoms. Advancing conceptualisations of social risk, we show that intersectional stigma and the social production of space are key processes through which social risk generates HIV vulnerability among Black men who have sex with men.

Mental vulnerability as a risk factor for depression

DEFF Research Database (Denmark)

Østergaard, Ditte; Dalton, Susanne Oksbjerg; Bidstrup, Pernille Envold

2012-01-01

Mental vulnerability (i.e. a tendency to experience psychosomatic symptoms, mental symptoms or interpersonal problems) is associated with various diseases. This study investigated whether mental vulnerability is associated with hospitalization for depression.......Mental vulnerability (i.e. a tendency to experience psychosomatic symptoms, mental symptoms or interpersonal problems) is associated with various diseases. This study investigated whether mental vulnerability is associated with hospitalization for depression....

Vulnerable Derivatives and Good Deal Bounds: A Structural Model

DEFF Research Database (Denmark)

Murgoci, Agatha

2013-01-01

We price vulnerable derivatives -- i.e. derivatives where the counterparty may default. These are basically the derivatives traded on the over-the-counter (OTC) markets. Default is modeled in a structural framework. The technique employed for pricing is good deal bounds (GDBs). The method imposes...

An Integrated Method of Supply Chains Vulnerability Assessment

Directory of Open Access Journals (Sweden)

Jiaguo Liu

2016-01-01

Full Text Available Supply chain vulnerability identification and evaluation are extremely important to mitigate the supply chain risk. We present an integrated method to assess the supply chain vulnerability. The potential failure mode of the supply chain vulnerability is analyzed through the SCOR model. Combining the fuzzy theory and the gray theory, the correlation degree of each vulnerability indicator can be calculated and the target improvements can be carried out. In order to verify the effectiveness of the proposed method, we use Kendall’s tau coefficient to measure the effect of different methods. The result shows that the presented method has the highest consistency in the assessment compared with the other two methods.

Mobile population dynamics and malaria vulnerability: a modelling study in the China-Myanmar border region of Yunnan Province, China.

Science.gov (United States)

Chen, Tian-Mu; Zhang, Shao-Sen; Feng, Jun; Xia, Zhi-Gui; Luo, Chun-Hai; Zeng, Xu-Can; Guo, Xiang-Rui; Lin, Zu-Rui; Zhou, Hong-Ning; Zhou, Shui-Sen

2018-04-29

The China-Myanmar border region presents a great challenge in malaria elimination in China, and it is essential to understand the relationship between malaria vulnerability and population mobility in this region. A community-based, cross-sectional survey was performed in five villages of Yingjiang county during September 2016. Finger-prick blood samples were obtained to identify asymptomatic infections, and imported cases were identified in each village (between January 2013 and September 2016). A stochastic simulation model (SSM) was used to test the relationship between population mobility and malaria vulnerability, according to the mechanisms of malaria importation. Thirty-two imported cases were identified in the five villages, with a 4-year average of 1 case/year (range: 0-5 cases/year). No parasites were detected in the 353 blood samples from 2016. The median density of malaria vulnerability was 0.012 (range: 0.000-0.033). The average proportion of mobile members of the study population was 32.56% (range: 28.38-71.95%). Most mobile individuals lived indoors at night with mosquito protection. The SSM model fit the investigated data (χ 2  = 0.487, P = 0.485). The average probability of infection in the members of the population that moved to Myanmar was 0.011 (range: 0.0048-0.1585). The values for simulated vulnerability increased with greater population mobility in each village. A high proportion of population mobility was associated with greater malaria vulnerability in the China-Myanmar border region. Mobile population-specific measures should be used to decrease the risk of malaria re-establishment in China.

Operationalizing analysis of micro-level climate change vulnerability and adaptive capacity

DEFF Research Database (Denmark)

Jiao, Xi; Moinuddin, Hasan

2016-01-01

This paper explores vulnerability and adaptive capacity of rural communities in Southern Laos, where households are highly dependent on climate-sensitive natural resources and vulnerable to seasonal weather fluctuations. The speed and magnitude of climate-induced changes may seriously challenge...... their ability to adapt. Participatory group discussions and 271 household surveys in three villages highlight the current level of vulnerability and adaptive capacity towards climatic variability and risks. This paper visualizes three dimensions of the vulnerability framework at two levels using the Community...... Climate Vulnerability Index and household climate vulnerability cube. Results show that not only poor households are most at risk from climate change challenges, but also those better-off households highly dependent on specialized agricultural production are locally exposed to climate change risks...

Modelling the elements of country vulnerability to earthquake disasters.

Science.gov (United States)

Asef, M R

2008-09-01

Earthquakes have probably been the most deadly form of natural disaster in the past century. Diversity of earthquake specifications in terms of magnitude, intensity and frequency at the semicontinental scale has initiated various kinds of disasters at a regional scale. Additionally, diverse characteristics of countries in terms of population size, disaster preparedness, economic strength and building construction development often causes an earthquake of a certain characteristic to have different impacts on the affected region. This research focuses on the appropriate criteria for identifying the severity of major earthquake disasters based on some key observed symptoms. Accordingly, the article presents a methodology for identification and relative quantification of severity of earthquake disasters. This has led to an earthquake disaster vulnerability model at the country scale. Data analysis based on this model suggested a quantitative, comparative and meaningful interpretation of the vulnerability of concerned countries, and successfully explained which countries are more vulnerable to major disasters.

Social vulnerability assessment of flood risk using GIS-based multicriteria decision analysis. A case study of Vila Nova de Gaia (Portugal

Directory of Open Access Journals (Sweden)

Paulo Fernandez

2016-07-01

Full Text Available Over the last decade, flood disasters have affected millions of people and caused massive economic losses. Social vulnerability assessment uses a combination of several factors to represent a population's differential access to resources and its ability to cope with and respond to hazards. In this paper, social vulnerability assessment to flood risk was applied to the third most populous Portuguese municipality. The study was developed at the neighbourhood level, allowing for social vulnerability analysis at inter civil parish, intra civil parish, and municipality scales. A geographic information system-based multicriteria decision analysis (GIS-MCDA was applied to social vulnerability and allows for an increased understanding and improved monitoring of social vulnerability over space, identifying ‘hot spots’ that require adaptation policies. Mafamude, Oliveira do Douro, Vila Nova de Gaia, and Avintes civil parishes display the greatest vulnerability to flooding. According to the most pessimistic scenario 57%–68% of the area of these civil parishes is classed at a high or very high level of social vulnerability. The GIS-MCDA helps to assess what and who is at risk, and where targeted impact-reduction strategies should be implemented. The results demonstrate the importance of an urban-scale approach instead of a river basin scale to urban flood risk management plans.

Vulnerability, risk perception, and health profile of marginalized people exposed to multiple built-environment stressors in Worcester, Massachusetts: a pilot project.

Science.gov (United States)

Downs, Timothy J; Ross, Laurie; Goble, Robert; Subedi, Rajendra; Greenberg, Sara; Taylor, Octavia

2011-04-01

Millions of low-income people of diverse ethnicities inhabit stressful old urban industrial neighborhoods. Yet we know little about the health impacts of built-environment stressors and risk perceptions in such settings; we lack even basic health profiles. Difficult access is one reason (it took us 30 months to survey 80 households); the lack of multifaceted survey tools is another. We designed and implemented a pilot vulnerability assessment tool in Worcester, Massachusetts. We answer: (1) How can we assess vulnerability to multiple stressors? (2) What is the nature of complex vulnerability-including risk perceptions and health profiles? (3) How can findings be used by our wider community, and what lessons did we learn? (4) What implications arise for science and policy? We sought a holistic picture of neighborhood life. A reasonably representative sample of 80 respondents captured data for 254 people about: demographics, community concerns and resources, time-activity patterns, health information, risk/stress perceptions, and resources/capacities for coping. Our key findings derive partly from the survey data and partly from our experience in obtaining those data. Data strongly suggest complex vulnerability dominated by psychosocial stress. Unexpected significant gender and ethnic disease disparities emerged: notably, females have twice the disease burden of males, and white females twice the burden of females of color (p Risk Analysis.

A model-guided symbolic execution approach for network protocol implementations and vulnerability detection.

Science.gov (United States)

Wen, Shameng; Meng, Qingkun; Feng, Chao; Tang, Chaojing

2017-01-01

Formal techniques have been devoted to analyzing whether network protocol specifications violate security policies; however, these methods cannot detect vulnerabilities in the implementations of the network protocols themselves. Symbolic execution can be used to analyze the paths of the network protocol implementations, but for stateful network protocols, it is difficult to reach the deep states of the protocol. This paper proposes a novel model-guided approach to detect vulnerabilities in network protocol implementations. Our method first abstracts a finite state machine (FSM) model, then utilizes the model to guide the symbolic execution. This approach achieves high coverage of both the code and the protocol states. The proposed method is implemented and applied to test numerous real-world network protocol implementations. The experimental results indicate that the proposed method is more effective than traditional fuzzing methods such as SPIKE at detecting vulnerabilities in the deep states of network protocol implementations.

Drinking water vulnerability to climate change and alternatives for adaptation in coastal South and South East Asia.

Science.gov (United States)

Hoque, M A; Scheelbeek, P F D; Vineis, P; Khan, A E; Ahmed, K M; Butler, A P

Drinking water in much of Asia, particularly in coastal and rural settings, is provided by a variety of sources, which are widely distributed and frequently managed at an individual or local community level. Coastal and near-inland drinking water sources in South and South East (SSE) Asia are vulnerable to contamination by seawater, most dramatically from tropical cyclone induced storm surges. This paper assesses spatial vulnerabilities to salinisation of drinking water sources due to meteorological variability and climate change along the (ca. 6000 km) coastline of SSE Asia. The risks of increasing climatic stresses are first considered, and then maps of relative vulnerability along the entire coastline are developed, using data from global scale land surface models, along with an overall vulnerability index. The results show that surface and near-surface drinking water in the coastal areas of the mega-deltas in Vietnam and Bangladesh-India are most vulnerable, putting more than 25 million people at risk of drinking 'saline' water. Climate change is likely to exacerbate this problem, with adverse consequences for health, such as prevalence of hypertension and cardiovascular diseases. There is a need for identifying locations that are most at risk of salinisation in order for policy makers and local officials to implement strategies for reducing these health impacts. To counter the risks associated with these vulnerabilities, possible adaptation measures are also outlined. We conclude that detailed and fine scale vulnerability assessments may become crucial for planning targeted adaptation programmes along these coasts.

SCORING ASSESSMENT AND FORECASTING MODELS BANKRUPTCY RISK OF COMPANIES

Directory of Open Access Journals (Sweden)

SUSU Stefanita

2014-07-01

Full Text Available Bankruptcy risk made the subject of many research studies that aim at identifying the time of the bankruptcy, the factors that compete to achieve this state, the indicators that best express this orientation (the bankruptcy. The threats to enterprises require the managers knowledge of continually economic and financial situations, and vulnerable areas with development potential. Managers need to identify and properly manage the threats that would prevent achieving the targets. In terms of methods known in the literature of assessment and evaluation of bankruptcy risk they are static, functional, strategic, and scoring nonfinancial models. This article addresses Altman and Conan-Holder-known internationally as the model developed at national level by two teachers from prestigious universities in our country-the Robu-Mironiuc model. Those models are applied to data released by the profit and loss account and balance sheet Turism Covasna company over which bankruptcy risk analysis is performed. The results of the analysis are interpreted while trying to formulate solutions to the economic and financial viability of the entity.

Spatial vulnerability assessment : methodology for the community and district level applied to floods in Buzi, Mozambique

International Nuclear Information System (INIS)

Kienberger, S.

2010-01-01

Within this thesis a conceptual model is presented which allows for the definition of a vulnerability assessment according to its time and spatial scale and within a multi-dimensional framework, which should help to design and develop appropriate methodologies and adaptation of concepts for the required scale of implementation. Building on past experiences with participatory approaches in community mapping in the District of Buzi in Mozambique, the relevance of such approaches for a community-based disaster risk reduction framework is analysed. Finally, methodologies are introduced which allow the assessment of vulnerability and the prioritisation of vulnerability factors at the community level. At the district level, homogenous vulnerability regions are identified through the application of integrated modelling approaches which build on expert knowledge and weightings. A set of indicators is proposed, which allow the modelling of vulnerability in a data-scarce environment. In developing these different methodologies for the community and district levels, it has been identified that the monitoring of vulnerability and the identification of trends is essential to addressing the objective of a continuous and improved disaster risk management. In addition to the technical and methodological challenges discussed in this thesis, the commitment from different stakeholders and the availability of capacity in different domains is essential for the successful, practical implementation of the developed approaches. (author)

[Socioeconomic vulnerability and obesity in Chilean schoolchildren attending first grade: comparison between 2009 and 2013].

Science.gov (United States)

Herrera, Juan Carlos; Lira, Mariana; Kain, Juliana

2017-12-01

Although obesity is related to socioeconomic level, studies are inconclusive. To determine obesity risk according to socioeconomic vulnerability among Chilean children (1st grade) in 2009 and 2013 and assess its change during that period, by sex and geographical area. Cross-sectional study (N = 175,462 in 2009) and (N = 189,055 in 2013) which included: weight, height, rural / urban, gender and vulnerability obtained from JUNAEB's survey. BMI Z, % obesity and 3 categories of vulnerability (very vulnerable, moderate, non-vulnerable) were determined. For the descriptive analyses, we used t tests and for predictor variables (2 categories of vulnerability) and outcome (obesity) by sex and area, we used %2. Logistic regression models determined OR to develop obesity by. % obesity was 19.6% and 24.1% in 2009 and 2013, higher in boys. In urban and rural areas respectively, OR to develop obesity were: 0.85 (0.82-0.88) and 0.70 (0.64-0.75) in the most vulnerable students and 0.94 (0.91-0.97) and 0.81 (0.74-0.88) in those with moderate vulnerability in 2009 and 0.96 (0.93-0.98) and 0.89 (0.82-0.96) in the most vulnerable students and 0.99 (0.96-1.02) and 0.94 (0.86-1.02) in students with moderate vulnerability in 2013. The highest increase in obesity was observed among the most vulnerable group from rural areas (16, 6 to 24.3%). vulnerability. The non-vulnerable group had the highest % obesity. Although the most vulnerable students in rural areas had the lowest obesity risk in both years, the highest increase in obesity during the period, occurred in that group.

Multi-hazard risk assessment of coastal vulnerability from tropical cyclones - A GIS based approach for the Odisha coast.

Science.gov (United States)

Sahoo, Bishnupriya; Bhaskaran, Prasad K

2018-01-15

The coastal region bordering the East coast of India is a thickly populated belt exposed to high risk and vulnerability from natural hazards such as tropical cyclones. Tropical cyclone frequencies that develop over the Bay of Bengal (average of 5-6 per year) region are much higher as compared to the Arabian Sea thereby posing a high risk factor associated with storm surge, inland inundation, wind gust, intense rainfall, etc. The Odisha State in the East coast of India experiences the highest number of cyclone strikes as compared to West Bengal, Andhra Pradesh, and Tamil Nadu. To express the destructive potential resulting from tropical cyclones the Power Dissipation Index (PDI) is a widely used metric globally. A recent study indicates that PDI for cyclones in the present decade have increased about six times as compared to the past. Hence there is a need to precisely ascertain the coastal vulnerability and risk factors associated with high intense cyclones expected in a changing climate. As such there are no comprehensive studies attempted so far on the determination of Coastal Vulnerability Index (CVI) for Odisha coast that is highly prone to cyclone strikes. With this motivation, the present study makes an attempt to investigate the physical, environmental, social, and economic impacts on coastal vulnerability associated with tropical cyclones for the Odisha coast. The study also investigates the futuristic projection of coastal vulnerability over this region expected in a changing climate scenario. Eight fair weather parameters along with storm surge height and onshore inundation were used to estimate the Physical Vulnerability Index (PVI). Thereafter, the PVI along with social, economic, and environmental vulnerability was used to determine the overall CVI using the GIS based approach. The authors believe that the comprehensive nature of this study is expected to benefit coastal zone management authorities. Copyright © 2017 Elsevier Ltd. All rights reserved.

Modelling homogeneous regions of social vulnerability to malaria in Rwanda.

Science.gov (United States)

Bizimana, Jean Pierre; Kienberger, Stefan; Hagenlocher, Michael; Twarabamenye, Emmanuel

2016-03-31

Despite the decline in malaria incidence due to intense interventions, potentials for malaria transmission persist in Rwanda. To eradicate malaria in Rwanda, strategies need to expand beyond approaches that focus solely on malaria epidemiology and also consider the socioeconomic, demographic and biological/disease-related factors that determine the vulnerability of potentially exposed populations. This paper analyses current levels of social vulnerability to malaria in Rwanda by integrating a set of weighted vulnerability indicators. The paper uses regionalisation techniques as a spatially explicit approach for delineating homogeneous regions of social vulnerability to malaria. This overcomes the limitations of administrative boundaries for modelling the trans-boundary social vulnerability to malaria. The utilised approach revealed high levels of social vulnerability to malaria in the highland areas of Rwanda, as well as in remote areas where populations are more susceptible. Susceptibility may be due to the populations' lacking the capacity to anticipate mosquito bites, or lacking resilience to cope with or recover from malaria infection. By highlighting the most influential indicators of social vulnerability to malaria, the applied approach indicates which vulnerability domains need to be addressed, and where appropriate interventions are most required. Interventions to improve the socioeconomic development in highly vulnerable areas could prove highly effective, and provide sustainable outcomes against malaria in Rwanda. This would ultimately increase the resilience of the population and their capacity to better anticipate, cope with, and recover from possible infection.

Fuzzing and Vulnerabilities Search

OpenAIRE

Stanislav Evgenyevich Kirillov; Nikolai Petrovich Lavrentiev

2013-01-01

Fuzzing for vulnerabilities can be very effective if we know the input data format. This work contains description of network message format recovery algorithm and the usage of restored data model in fuzzing and vulnerabilities search.

Complexity and Vulnerability Analysis of Critical Infrastructures: A Methodological Approach

Directory of Open Access Journals (Sweden)

Yongliang Deng

2017-01-01

Full Text Available Vulnerability analysis of network models has been widely adopted to explore the potential impacts of random disturbances, deliberate attacks, and natural disasters. However, almost all these models are based on a fixed topological structure, in which the physical properties of infrastructure components and their interrelationships are not well captured. In this paper, a new research framework is put forward to quantitatively explore and assess the complexity and vulnerability of critical infrastructure systems. Then, a case study is presented to prove the feasibility and validity of the proposed framework. After constructing metro physical network (MPN, Pajek is employed to analyze its corresponding topological properties, including degree, betweenness, average path length, network diameter, and clustering coefficient. With a comprehensive understanding of the complexity of MPN, it would be beneficial for metro system to restrain original near-miss or accidents and support decision-making in emergency situations. Moreover, through the analysis of two simulation protocols for system component failure, it is found that the MPN turned to be vulnerable under the condition that the high-degree nodes or high-betweenness edges are attacked. These findings will be conductive to offer recommendations and proposals for robust design, risk-based decision-making, and prioritization of risk reduction investment.

Adaptation to Climate Change in Risk and Vulnerability Analysis on a Municipal Level, a basis for further work

International Nuclear Information System (INIS)

Mossberg Sonnek, Karin; Lindberg, Anna; Lindgren, Johan

2007-12-01

The aim of Risk and Vulnerability Analysis (RVA) at local authority level in Sweden is to increase the capacity of local authorities to handle crises and to reduce vulnerability in the community. RVA processes could be an appropriate starting-point for discussions on how the community is influenced by climate change and how its effects could be reduced using various adjustment measures. In the report we present four methods: ROSA, MVA, IBERO and the Car Dun AB method. These have all been developed to support Swedish local authority RVA processes. We also present five international frameworks that have been developed by the organisations UNDP, USAID, UKCIP, C-CIARN and CSIRO to help decision-makers and stakeholders to adapt to climate change. Together, these descriptions form a foundation for continuing the work being done within the project Climatools, in which tools are being produced to be used by local authorities in adapting to climate change. In the report, we also discuss the concepts 'risk', 'vulnerability' and 'adaptation' and how analysis of adaptation to climate change has changed in recent years

The Future of Risk Analysis: Operationalizing Living Vulnerability Assessments from the Cloud to the Street (and Back)

Science.gov (United States)

Tellman, B.; Schwarz, B.; Kuhn, C.; Pandey, B.; Schank, C.; Sullivan, J.; Mahtta, R.; Hammet, L.

2016-12-01

21 million people are exposed to flooding every year, and that number is expected to more than double by 2030 due to climate, land use, and demographic change. Cloud to Street, a mission driven science organization, is working to make big and real time data more meaningful to understand both biophysical and social vulnerability to flooding in this changing world. This talk will showcase the science and practice we have built of integrated social and biophysical flood vulnerability assessments based on our work in Uttarakhand, India and Senegal, in conjunction with nonprofits and development banks. We will show developments of our global historical flood database, detected from MODIS and Landsat satellites, used to power machine learning flood exposure models in Google Earth Engine's API. Demonstrating the approach, we will also showcase new approaches in social vulnerability science, from developing data-driven social vulnerability indices in India, to deriving predictive models that explain the social conditions that lead to disproportionate flood damage and fatality in the US. While this talk will draw on examples of completed vulnerability assessments, we will also discuss the possible future for place-based "living" flood vulnerability assessments that are updated each time satellites circle the earth or people add crowd-sourced observations about flood events and social conditions.

Assessing Vulnerability of Lake Erie Landscapes to Soil Erosion: Modelled and Measured Approaches

Science.gov (United States)

Joosse, P.; Laamrani, A.; Feisthauer, N.; Li, S.

2017-12-01

Loss of soil from agricultural landscapes to Lake Erie via water erosion is a key transport mechanism for phosphorus bound to soil particles. Agriculture is the dominant land use in the Canadian side of the Lake Erie basin with approximately 75% of the 2.3 million hectares under crop or livestock production. The variable geography and diversity of agricultural production systems and management practices makes estimating risk of soil erosion from agricultural landscapes in the Canadian Lake Erie basin challenging. Risk of soil erosion depends on a combination of factors including the extent to which soil remains bare, which differs with crop type and management. Two different approaches of estimating the vulnerability of landscapes to soil erosion will be compared among Soil Landscapes of Canada in the Lake Erie basin: a modelling approach incorporating farm census and soil survey data, represented by the 2011 Agriculture and Agri-Food Canada Agri-Environmental Indicator for Soil Erosion Risk; and, a measured approach using remotely sensed data that quantifies the magnitude of bare and covered soil across the basin. Results from both approaches will be compared by scaling the national level (1:1 million) Soil Erosion Risk Indicator and the remotely sensed data (30x30 m resolution) to the quaternary watershed level.

Using fuzzy logic to determine the vulnerability of marine species to climate change.

Science.gov (United States)

Jones, Miranda C; Cheung, William W L

2018-02-01

Marine species are being impacted by climate change and ocean acidification, although their level of vulnerability varies due to differences in species' sensitivity, adaptive capacity and exposure to climate hazards. Due to limited data on the biological and ecological attributes of many marine species, as well as inherent uncertainties in the assessment process, climate change vulnerability assessments in the marine environment frequently focus on a limited number of taxa or geographic ranges. As climate change is already impacting marine biodiversity and fisheries, there is an urgent need to expand vulnerability assessment to cover a large number of species and areas. Here, we develop a modelling approach to synthesize data on species-specific estimates of exposure, and ecological and biological traits to undertake an assessment of vulnerability (sensitivity and adaptive capacity) and risk of impacts (combining exposure to hazards and vulnerability) of climate change (including ocean acidification) for global marine fishes and invertebrates. We use a fuzzy logic approach to accommodate the variability in data availability and uncertainties associated with inferring vulnerability levels from climate projections and species' traits. Applying the approach to estimate the relative vulnerability and risk of impacts of climate change in 1074 exploited marine species globally, we estimated their index of vulnerability and risk of impacts to be on average 52 ± 19 SD and 66 ± 11 SD, scaling from 1 to 100, with 100 being the most vulnerable and highest risk, respectively, under the 'business-as-usual' greenhouse gas emission scenario (Representative Concentration Pathway 8.5). We identified 157 species to be highly vulnerable while 294 species are identified as being at high risk of impacts. Species that are most vulnerable tend to be large-bodied endemic species. This study suggests that the fuzzy logic framework can help estimate climate vulnerabilities and risks

A multi criteria analog model for assessing the vulnerability of rural catchments to road spills of hazardous substances

Energy Technology Data Exchange (ETDEWEB)

Siqueira, Hygor Evangelista; Pissarra, Teresa Cristina Tarlé [Departamento de Engenharia Rural, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista, Jaboticabal (Brazil); Farias do Valle Junior, Renato [Laboratório de Geoprocessamento, Instituto Federal do Triângulo Mineiro, Campus Uberaba, Uberaba (Brazil); Fernandes, Luis Filipe Sanches [Centro de Investigação e Tecnologias Agroambientais e Biológicas, Universidade de Trás-os-Montes e Alto Douro, Ap 1013, 5001–801 Vila Real (Portugal); Pacheco, Fernando António Leal, E-mail: fpacheco@utad.pt [Centro de Química de Vila Real, Universidade de Trás-os-Montes e Alto Douro, Ap 1013, 5001–801 Vila Real (Portugal)

2017-05-15

Area (APA), located in the Uberaba region, state of Minas Gerais, Brazil. In this region, the risk of accidents causing chemical spills is preoccupying because large quantities of dangerous materials are transported in two important distribution highways while the APA is fundamental for the protection of water resources, the riverine ecosystems and remnants of native vegetation. In some tested scenarios, model results show 60% of vulnerable areas within the studied area. The most sensitive parameter to vulnerability is soil type. To prevent soils from contamination, specific measures were proposed involving minimization of land use conflicts that would presumably raise the soil's organic matter and in the sequel restore the soil's structural functions. Additionally, the present study proposed the preservation and reinforcement of riparian forests as one measure to protect the quality of surface water. - Highlights: • A multi criteria analog model was developed to assess rural catchment vulnerability along roads. • Model parameters were defined by analogy with urban wash-off equations and routing algorithms. • The model mixes up various biophysical and socio-economic parameters. • Model application was based on a scenario analysis. • The study is focused on the Environmental Protection Area of Uberaba River, Brazil.

A multi criteria analog model for assessing the vulnerability of rural catchments to road spills of hazardous substances

International Nuclear Information System (INIS)

Siqueira, Hygor Evangelista; Pissarra, Teresa Cristina Tarlé; Farias do Valle Junior, Renato; Fernandes, Luis Filipe Sanches; Pacheco, Fernando António Leal

2017-01-01

Area (APA), located in the Uberaba region, state of Minas Gerais, Brazil. In this region, the risk of accidents causing chemical spills is preoccupying because large quantities of dangerous materials are transported in two important distribution highways while the APA is fundamental for the protection of water resources, the riverine ecosystems and remnants of native vegetation. In some tested scenarios, model results show 60% of vulnerable areas within the studied area. The most sensitive parameter to vulnerability is soil type. To prevent soils from contamination, specific measures were proposed involving minimization of land use conflicts that would presumably raise the soil's organic matter and in the sequel restore the soil's structural functions. Additionally, the present study proposed the preservation and reinforcement of riparian forests as one measure to protect the quality of surface water. - Highlights: • A multi criteria analog model was developed to assess rural catchment vulnerability along roads. • Model parameters were defined by analogy with urban wash-off equations and routing algorithms. • The model mixes up various biophysical and socio-economic parameters. • Model application was based on a scenario analysis. • The study is focused on the Environmental Protection Area of Uberaba River, Brazil.

Rockfall vulnerability assessment for reinforced concrete buildings

Science.gov (United States)

Mavrouli, O.; Corominas, J.

2010-10-01

The vulnerability of buildings to the impact of rockfalls is a topic that has recently attracted increasing attention in the scientific literature. The quantification of the vulnerability, when based on empirical or heuristic approaches requires data recorded from historical rockfalls, which are not always available. This is the reason why appropriate alternatives are required. The use of analytical and numerical models can be one of them. In this paper, a methodology is proposed for the analytical evaluation of the vulnerability of reinforced concrete buildings. The vulnerability is included in the risk equation by incorporating the uncertainty of the impact location of the rock block and the subsequent damage level. The output is a weighted vulnerability that ranges from 0 to 1 and expresses the potential damage that a rock block causes to a building in function of its velocity and size. The vulnerability is calculated by the sum of the products of the probability of block impact on each element of the building and its associated damage state, the latter expressed in relative recovery cost terms. The probability of exceeding a specific damage state such as non-structural, local, partial, extensive or total collapse is also important for the quantification of risk and to this purpose, several sets of fragility curves for various rock diameters and increasing velocities have been prepared. An example is shown for the case of a simple reinforced concrete building and impact energies from 0 to 4075 kJ.

Multiple flood vulnerability assessment approach based on fuzzy comprehensive evaluation method and coordinated development degree model.

Science.gov (United States)

Yang, Weichao; Xu, Kui; Lian, Jijian; Bin, Lingling; Ma, Chao

2018-05-01

Flood is a serious challenge that increasingly affects the residents as well as policymakers. Flood vulnerability assessment is becoming gradually relevant in the world. The purpose of this study is to develop an approach to reveal the relationship between exposure, sensitivity and adaptive capacity for better flood vulnerability assessment, based on the fuzzy comprehensive evaluation method (FCEM) and coordinated development degree model (CDDM). The approach is organized into three parts: establishment of index system, assessment of exposure, sensitivity and adaptive capacity, and multiple flood vulnerability assessment. Hydrodynamic model and statistical data are employed for the establishment of index system; FCEM is used to evaluate exposure, sensitivity and adaptive capacity; and CDDM is applied to express the relationship of the three components of vulnerability. Six multiple flood vulnerability types and four levels are proposed to assess flood vulnerability from multiple perspectives. Then the approach is applied to assess the spatiality of flood vulnerability in Hainan's eastern area, China. Based on the results of multiple flood vulnerability, a decision-making process for rational allocation of limited resources is proposed and applied to the study area. The study shows that multiple flood vulnerability assessment can evaluate vulnerability more completely, and help decision makers learn more information about making decisions in a more comprehensive way. In summary, this study provides a new way for flood vulnerability assessment and disaster prevention decision. Copyright © 2018 Elsevier Ltd. All rights reserved.

Integrating Social impacts on Health and Health-Care Systems in Systemic Seismic Vulnerability Analysis

Science.gov (United States)

Kunz-Plapp, T.; Khazai, B.; Daniell, J. E.

2012-04-01

This paper presents a new method for modeling health impacts caused by earthquake damage which allows for integrating key social impacts on individual health and health-care systems and for implementing these impacts in quantitative systemic seismic vulnerability analysis. In current earthquake casualty estimation models, demand on health-care systems is estimated by quantifying the number of fatalities and severity of injuries based on empirical data correlating building damage with casualties. The expected number of injured people (sorted by priorities of emergency treatment) is combined together with post-earthquake reduction of functionality of health-care facilities such as hospitals to estimate the impact on healthcare systems. The aim here is to extend these models by developing a combined engineering and social science approach. Although social vulnerability is recognized as a key component for the consequences of disasters, social vulnerability as such, is seldom linked to common formal and quantitative seismic loss estimates of injured people which provide direct impact on emergency health care services. Yet, there is a consensus that factors which affect vulnerability and post-earthquake health of at-risk populations include demographic characteristics such as age, education, occupation and employment and that these factors can aggravate health impacts further. Similarly, there are different social influences on the performance of health care systems after an earthquake both on an individual as well as on an institutional level. To link social impacts of health and health-care services to a systemic seismic vulnerability analysis, a conceptual model of social impacts of earthquakes on health and the health care systems has been developed. We identified and tested appropriate social indicators for individual health impacts and for health care impacts based on literature research, using available European statistical data. The results will be used to

Global exposure and vulnerability to multi-sector development and climate change hotspots

Science.gov (United States)

Byers, Edward; Gidden, Matthew; Leclère, David; Balkovic, Juraj; Burek, Peter; Ebi, Kristie; Greve, Peter; Grey, David; Havlik, Petr; Hillers, Astrid; Johnson, Nils; Kahil, Taher; Krey, Volker; Langan, Simon; Nakicenovic, Nebjosa; Novak, Robert; Obersteiner, Michael; Pachauri, Shonali; Palazzo, Amanda; Parkinson, Simon; Rao, Narasimha D.; Rogelj, Joeri; Satoh, Yusuke; Wada, Yoshihide; Willaarts, Barbara; Riahi, Keywan

2018-05-01

Understanding the interplay between multiple climate change risks and socioeconomic development is increasingly required to inform effective actions to manage these risks and pursue sustainable development. We calculate a set of 14 impact indicators at different levels of global mean temperature (GMT) change and socioeconomic development covering water, energy and land sectors from an ensemble of global climate, integrated assessment and impact models. The analysis includes changes in drought intensity and water stress index, cooling demand change and heat event exposure, habitat degradation and crop yield, amongst others. To investigate exposure to multi-sector climate impacts, these are combined with gridded socioeconomic projections of population and those ‘vulnerable to poverty’ from three Shared Socioeconomic Pathways (SSP) (income populations vulnerable to poverty, the exposure is an order of magnitude greater (8–32x) in the high poverty and inequality scenarios (SSP3) compared to sustainable socioeconomic development (SSP1). Whilst 85%–95% of global exposure falls to Asian and African regions, they have 91%–98% of the exposed and vulnerable population (depending on SSP/GMT combination), approximately half of which in South Asia. In higher warming scenarios, African regions have growing proportion of the global exposed and vulnerable population, ranging from 7%–17% at 1.5 °C, doubling to 14%–30% at 2 °C and again to 27%–51% at 3 °C. Finally, beyond 2 °C and at higher risk thresholds, the world’s poorest are disproportionately impacted, particularly in cases (SSP3) of high inequality in Africa and southern Asia. Sustainable development that reduces poverty, mitigates emissions and meets targets in the water, energy and land sectors has the potential for order-of-magnitude scale reductions in multi-sector climate risk for the most vulnerable.

A model-guided symbolic execution approach for network protocol implementations and vulnerability detection.

Directory of Open Access Journals (Sweden)

Shameng Wen

Full Text Available Formal techniques have been devoted to analyzing whether network protocol specifications violate security policies; however, these methods cannot detect vulnerabilities in the implementations of the network protocols themselves. Symbolic execution can be used to analyze the paths of the network protocol implementations, but for stateful network protocols, it is difficult to reach the deep states of the protocol. This paper proposes a novel model-guided approach to detect vulnerabilities in network protocol implementations. Our method first abstracts a finite state machine (FSM model, then utilizes the model to guide the symbolic execution. This approach achieves high coverage of both the code and the protocol states. The proposed method is implemented and applied to test numerous real-world network protocol implementations. The experimental results indicate that the proposed method is more effective than traditional fuzzing methods such as SPIKE at detecting vulnerabilities in the deep states of network protocol implementations.

Vulnerability to shocks in the global seafood trade network

Science.gov (United States)

Gephart, Jessica A.; Rovenskaya, Elena; Dieckmann, Ulf; Pace, Michael L.; Brännström, Åke

2016-03-01

Trade can allow countries to overcome local or regional losses (shocks) to their food supply, but reliance on international food trade also exposes countries to risks from external perturbations. Countries that are nutritionally or economically dependent on international trade of a commodity may be adversely affected by such shocks. While exposure to shocks has been studied in financial markets, communication networks, and some infrastructure systems, it has received less attention in food-trade networks. Here, we develop a forward shock-propagation model to quantify how trade flows are redistributed under a range of shock scenarios and assess the food-security outcomes by comparing changes in national fish supplies to indices of each country’s nutritional fish dependency. Shock propagation and distribution among regions are modeled on a network of historical bilateral seafood trade data from UN Comtrade using 205 reporting territories grouped into 18 regions. In our model exposure to shocks increases with total imports and the number of import partners. We find that Central and West Africa are the most vulnerable to shocks, with their vulnerability increasing when a willingness-to-pay proxy is included. These findings suggest that countries can reduce their overall vulnerability to shocks by reducing reliance on imports and diversifying food sources. As international seafood trade grows, identifying these types of potential risks and vulnerabilities is important to build a more resilient food system.

Fuzzing and Vulnerabilities Search

Directory of Open Access Journals (Sweden)

Stanislav Evgenyevich Kirillov

2013-02-01

Full Text Available Fuzzing for vulnerabilities can be very effective if we know the input data format. This work contains description of network message format recovery algorithm and the usage of restored data model in fuzzing and vulnerabilities search.

Vulnerability studies and integrated assessments for hazard risk reduction in Pittsburgh, PA (Invited)

Science.gov (United States)

Klima, K.

2013-12-01

Today's environmental problems stretch beyond the bounds of most academic disciplines, and thus solutions require an interdisciplinary approach. For instance, the scientific consensus is changes in the frequency and severity of many types of extreme weather events are increasing (IPCC 2012). Yet despite our efforts to reduce greenhouse gases, we continue to experience severe weather events such as Superstorm Sandy, record heat and blizzards, and droughts. These natural hazards, combined with increased vulnerability and exposure, result in longer-lasting disruptions to critical infrastructure and business continuity throughout the world. In order to protect both our lives and the economy, we must think beyond the bounds of any one discipline to include an integrated assessment of relevant work. In the wake of recent events, New York City, Washington, DC, Chicago, and a myriad of other cities have turned to their academic powerhouses for assistance in better understanding their vulnerabilities. This talk will share a case study of the state of integrated assessments and vulnerability studies of energy, transportation, water, real estate, and other main sectors in Pittsburgh, PA. Then the talk will use integrated assessment models and other vulnerability studies to create coordinated sets of climate projections for use by the many public agencies and private-sector organizations in the region.

Developing a Composite Aquifer Vulnerability Assessment Model Combining DRASTIC with Agricultural Land Use in Choushui River Alluvial Fan, Central Taiwan

Science.gov (United States)

Chen, Shih-Kai; Hsieh, Chih-Heng; Tsai, Cheng-Bin

2017-04-01

Aquifer vulnerability assessment is considered to be an effective tool in controlling potential pollution which is critical for groundwater management. The Choushui River alluvial fan, located in central Taiwan, is an agricultural area with complex crop patterns and various irrigation schemes, which increased the difficulties in groundwater resource management. The aim of this study is to propose an integrated methodology to assess shallow groundwater vulnerability by including land-use impact on groundwater potential pollution. The original groundwater vulnerability methodology, DRASTIC, was modified by adding a land-use parameter in order to assess groundwater vulnerability under intense agricultural activities. To examine the prediction capacity of pollution for the modified DRASTIC model, various risk categories of contamination potentials were compared with observed nitrate-N obtained from groundwater monitoring network. It was found that for the original DRASTIC vulnerability map, some areas with low nitrate-N concentrations are covered within the high vulnerability areas, especially in the northern part of mid-fan areas, where rice paddy is the main crop and planted for two crop seasons per year. The low nitrate-N contamination potential of rice paddies may be resulted from the denitrification in the reduced root zone. By reducing the rating for rice paddies, the modified model was proved to be capable of increasing the precise of prediction in study area. The results can provide a basis for groundwater monitoring network design and effective preserve measures formulation in the mixed agricultural area. Keyword:Aquifer Vulnerability, Groundwater, DRASTIC, Nitrate-N

Lack of coordination of nonverbal behaviour between patients and interviewers as a potential risk factor to depression recurrence : vulnerability accumulation in depression

NARCIS (Netherlands)

Bouhuys, AL; Sam, MM

2000-01-01

Background: Coordination of nonverbal behaviour during interactions is a prerequisite for satisfactory relationships. Lack of coordination may form a risk factor for depression. The 'vulnerability-accumulation hypothesis' assumes that vulnerability to recurrence of depression will increase with

Wine: the increasing risk of a highly vulnerable industry globally to natural disasters and climate change (NH Division Outstanding ECS Award Lecture)

Science.gov (United States)

Daniell, James E.; Daniell, Trevor M.; Daniell, Katherine A.; Wenzel, Friedemann; Schäfer, Andreas M.; Kunz, Michael; Kunz-Plapp, Tina; Khazai, Bijan; Girard, Trevor; Burford, Robert

2017-04-01

potential of wineries. A risk index is produced for comparing wine regions and wineries globally by assessing the comparative risk of loss of grapes and production as well as business interruption due to various natural disasters and climate change based on stochastic and historic hazard models, as well as semi-empirical vulnerability models. Earthquake, flood, storm, climatic, hurricane and fire models are investigated. This index is of use for: wineries wanting to reduce their potential losses, to create sustainable infrastructure or to know their risks; insurance companies wanting to insure wineries; governments concerned about the loss of industry and the potential for employment loss; and simply those people worried about having a glass of their favourite wine in a few years time. Daniell, J.E., Wenzel, F., Schaefer, A.M. (2016) The economic costs of natural disasters globally from 1900-2015: historical and normalised floods, storms, earthquakes, volcanoes, bushfires, drought and other disasters, Geophysical Research Abstracts Vol. 18, EGU2016-1899.

Vulnerability Assessment of Water Supply Systems: Status, Gaps and Opportunities

Science.gov (United States)

Wheater, H. S.

2015-12-01

Conventional frameworks for assessing the impacts of climate change on water resource systems use cascades of climate and hydrological models to provide 'top-down' projections of future water availability, but these are subject to high uncertainty and are model and scenario-specific. Hence there has been recent interest in 'bottom-up' frameworks, which aim to evaluate system vulnerability to change in the context of possible future climate and/or hydrological conditions. Such vulnerability assessments are generic, and can be combined with updated information from top-down assessments as they become available. While some vulnerability methods use hydrological models to estimate water availability, fully bottom-up schemes have recently been proposed that directly map system vulnerability as a function of feasible changes in water supply characteristics. These use stochastic algorithms, based on reconstruction or reshuffling methods, by which multiple water supply realizations can be generated under feasible ranges of change in water supply conditions. The paper reports recent successes, and points to areas of future improvement. Advances in stochastic modeling and optimization can address some technical limitations in flow reconstruction, while various data mining and system identification techniques can provide possibilities to better condition realizations for consistency with top-down scenarios. Finally, we show that probabilistic and Bayesian frameworks together can provide a potential basis to combine information obtained from fully bottom-up analyses with projections available from climate and/or hydrological models in a fully integrated risk assessment framework for deep uncertainty.

Assessment of yellow fever epidemic risk: an original multi-criteria modeling approach.

Directory of Open Access Journals (Sweden)

Sylvie Briand

Full Text Available BACKGROUND: Yellow fever (YF virtually disappeared in francophone West African countries as a result of YF mass vaccination campaigns carried out between 1940 and 1953. However, because of the failure to continue mass vaccination campaigns, a resurgence of the deadly disease in many African countries began in the early 1980s. We developed an original modeling approach to assess YF epidemic risk (vulnerability and to prioritize the populations to be vaccinated. METHODS AND FINDINGS: We chose a two-step assessment of vulnerability at district level consisting of a quantitative and qualitative assessment per country. Quantitative assessment starts with data collection on six risk factors: five risk factors associated with "exposure" to virus/vector and one with "susceptibility" of a district to YF epidemics. The multiple correspondence analysis (MCA modeling method was specifically adapted to reduce the five exposure variables to one aggregated exposure indicator. Health districts were then projected onto a two-dimensional graph to define different levels of vulnerability. Districts are presented on risk maps for qualitative analysis in consensus groups, allowing the addition of factors, such as population migrations or vector density, that could not be included in MCA. The example of rural districts in Burkina Faso show five distinct clusters of risk profiles. Based on this assessment, 32 of 55 districts comprising over 7 million people were prioritized for preventive vaccination campaigns. CONCLUSION: This assessment of yellow fever epidemic risk at the district level includes MCA modeling and consensus group modification. MCA provides a standardized way to reduce complexity. It supports an informed public health decision-making process that empowers local stakeholders through the consensus group. This original approach can be applied to any disease with documented risk factors.

Vulnerability to temperature-related mortality in Seoul, Korea

International Nuclear Information System (INIS)

Son, Ji-Young; Anderson, G Brooke; Bell, Michelle L; Lee, Jong-Tae

2011-01-01

Studies indicate that the mortality effects of temperature may vary by population and region, although little is known about the vulnerability of subgroups to these risks in Korea. This study examined the relationship between temperature and cause-specific mortality for Seoul, Korea, for the period 2000-7, including whether some subgroups are particularly vulnerable with respect to sex, age, education and place of death. The authors applied time-series models allowing nonlinear relationships for heat- and cold-related mortality, and generated exposure-response curves. Both high and low ambient temperatures were associated with increased risk for daily mortality. Mortality risk was 10.2% (95% confidence interval 7.43, 13.0%) higher at the 90th percentile of daily mean temperatures (25 deg. C) compared to the 50th percentile (15 deg. C). Mortality risk was 12.2% (3.69, 21.3%) comparing the 10th (-1 deg. C) and 50th percentiles of temperature. Cardiovascular deaths showed a higher risk to cold, whereas respiratory deaths showed a higher risk to heat effect, although the differences were not statistically significant. Susceptible populations were identified such as females, the elderly, those with no education, and deaths occurring outside of a hospital for heat- and cold-related total mortality. Our findings provide supportive evidence of a temperature-mortality relationship in Korea and indicate that some subpopulations are particularly vulnerable.

Parenting style and the vulnerable child syndrome.

Science.gov (United States)

Duncan, Andrea Freeman; Caughy, Margaret O'Brien

2009-11-01

Vulnerable child syndrome (VCS) refers to the combination of the parental view that their child is at increased risk for death despite the child's objective health and the resulting behavior problems in the child. Although risk factors for the development of the syndrome have been outlined, the variability in the development of VCS has not been explained. A theoretical explanation for the variability in the development of VCS utilizing Susan Calkins' model is explored. By considering the development of VCS in light of Calkins' model, variability may be explained and preventative interventions may be instituted. Relevant literature pertaining to child development and VCS was reviewed. By recognizing the risk of the role that parenting sensitivity plays in the development of VCS, team-based interventions involving a developmental approach may be employed, and the long-term behavioral sequelae of the disorder may be prevented or alleviated.

Assessment of groundwater vulnerability by applying the modified DRASTIC model in Beihai City, China.

Science.gov (United States)

Wu, Xiaoyu; Li, Bin; Ma, Chuanming

2018-05-01

This study assesses vulnerability of groundwater to pollution in Beihai City, China, as a support of groundwater resource protection. The assessment result not only objectively reflects potential possibility of groundwater to contamination but also provides scientific basis for the planning and utilization of groundwater resources. This study optimizes the parameters consisting of natural factors and human factors upon the DRASTIC model and modifies the ratings of these parameters, based on the local environmental conditions for the study area. And a weight of each parameter is assigned by the analytic hierarchy process (AHP) to reduce the subjectivity of humans to vulnerability assessment. The resulting scientific ratings and weights of modified DRASTIC model (AHP-DRASTLE model) contribute to obtain the more realistic assessment of vulnerability of groundwater to contaminant. The comparison analysis validates the accuracy and rationality of the AHP-DRASTLE model and shows it suits the particularity of the study area. The new assessment method (AHP-DRASTLE model) can provide a guide for other scholars to assess the vulnerability of groundwater to contamination. The final vulnerability map for the AHP-DRASTLE model shows four classes: highest (2%), high (29%), low (55%), and lowest (14%). The vulnerability map serves as a guide for decision makers on groundwater resource protection and land use planning at the regional scale and that it is adapted to a specific area.

Rethinking vulnerability analysis and governance with emphasis on a participatory approach.

Science.gov (United States)

Rossignol, Nicolas; Delvenne, Pierre; Turcanu, Catrinel

2015-01-01

This article draws on vulnerability analysis as it emerged as a complement to classical risk analysis, and it aims at exploring its ability for nurturing risk and vulnerability governance actions. An analysis of the literature on vulnerability analysis allows us to formulate a three-fold critique: first, vulnerability analysis has been treated separately in the natural and the technological hazards fields. This separation prevents vulnerability from unleashing the full range of its potential, as it constrains appraisals into artificial categories and thus already closes down the outcomes of the analysis. Second, vulnerability analysis focused on assessment tools that are mainly quantitative, whereas qualitative appraisal is a key to assessing vulnerability in a comprehensive way and to informing policy making. Third, a systematic literature review of case studies reporting on participatory approaches to vulnerability analysis allows us to argue that participation has been important to address the above, but it remains too closed down in its approach and would benefit from embracing a more open, encompassing perspective. Therefore, we suggest rethinking vulnerability analysis as one part of a dynamic process between opening-up and closing-down strategies, in order to support a vulnerability governance framework. © 2014 Society for Risk Analysis.

An approach for modelling interdependent infrastructures in the context of vulnerability analysis

International Nuclear Information System (INIS)

Johansson, Jonas; Hassel, Henrik

2010-01-01

Technical infrastructures of the society are becoming more and more interconnected and interdependent, i.e. the function of an infrastructure influences the function of other infrastructures. Disturbances in one infrastructure therefore often traverse to other dependent infrastructures and possibly even back to the infrastructure where the failure originated. It is becoming increasingly important to take these interdependencies into account when assessing the vulnerability of technical infrastructures. In the present paper, an approach for modelling interdependent technical infrastructures is proposed. The modelling approach considers structural properties, as employed in graph theory, as well as functional properties to increase its fidelity and usefulness. By modelling a fictional electrified railway network that consists of five systems and interdependencies between the systems, it is shown how the model can be employed in a vulnerability analysis. The model aims to capture both functional and geographic interdependencies. It is concluded that the proposed modelling approach is promising and suitable in the context of vulnerability analyses of interdependent systems.

Social vulnerability assessment: a growing practice in Europe?

Science.gov (United States)

Tapsell, S.; McC arthy, S.

2012-04-01

This paper builds upon work on social vulnerability from the CapHaz-Net consortium, an ongoing research project funded by the European Commission in its 7th Framework Programme. The project focuses on the social dimensions of natural hazards, as well as on regional practices of risk prevention and management, and aims at improving the resilience of European societies to natural hazards, paying particular attention to social capacity building. The topic of social vulnerability is one of seven themes being addressed in the project. There are various rationales for examining the relevance of social vulnerability to natural hazards. Vulnerability assessment has now been accepted as a requirement for the effective development of emergency management capability, and assessment of social vulnerability has been recognised as being integral to understanding the risk to natural hazards. The aim of our research was to examine social vulnerability, how it might be understood in the context of natural hazards in Europe, and how social vulnerability can be addressed to increase social capacity. The work comprised a review of research on social vulnerability to different natural hazards within Europe and included concepts and definitions of social vulnerability (and related concepts), the purpose of vulnerability assessment and who decides who is vulnerable, different approaches to assessing or measuring social vulnerability (such as the use of 'classical' quantitative vulnerability indicators and qualitative community-based approaches, along with the advantages and disadvantages of both), conceptual frameworks for assessing social vulnerability and three case studies of social vulnerability studies within Europe: flash floods in the Italian Alps, fluvial flooding in Germany and heat waves in Spain. The review reveals variable application of social vulnerability analysis across Europe and there are indications why this might be the case. Reasons could range from the scale of