WorldWideScience

Sample records for accident risk forecasting

  1. Risk forecasting and evaluating model of Environmental pollution accident

    ZENG Wei-hua; CHENG Sheng-tong

    2005-01-01

    Environmental risk (ER) fact ore come from ER source and they are controlled by the primary control mechanism (PCM) of environmental risk, due to the self failures or the effects of external environment risk trigger mechanism, the PCM could not work regularly any more, then, the ER factore will release environmental space, and an ER field is formed up. The forming of ER field does not mean that any environmental pollution accident(EPA) will break out; only the ER receptore are exposed in the ER field and damaged seriously,the potential ER really turns into an actual EPA. Researching on the general laws of evolving from environmental risk to EPA, this paper bring forwards a relevant concept model of risk forecasting and evaluating of EPA. This model provides some scientific methods for risk evaluation, prevention and emergency response of EPA. This model not only enriches and develops the theory system of environment safety and emergency response, but also acts as an instruction for public safety, enterprise' s safety management and emergency response of the accident.

  2. Grey-Markov Model for Road Accidents Forecasting

    李相勇; 严余松; 蒋葛夫

    2003-01-01

    In order to improve the forecasting precision of road accidents, by introducing Markov chains forecasting method, a grey-Markov model for forecasting road accidents is established based on grey forecasting method. The model combines the advantages of both grey forecasting method and Markov chains forecasting method, overcomes the influence of random fluctuation data on forecasting precision and widens the application scope of the grey forecasting. An application example is conducted to evaluate the grey-Markov model, which shows that the precision of the grey-Markov model is better than that of grey model in forecasting road accidents.

  3. Accidents, risks and consequences

    Although the accident at Chernobyl can be considered as the worst accident in the world, it could have been worse. Other far worse situations are considered, such as a nuclear weapon hitting a nuclear reactor. Indeed the accident at Chernobyl is compared to a nuclear weapon. The consequences of Chernobyl in terms of radiation levels are discussed. Although it is believed that a similar accident could not occur in the United Kingdom, that possibility is considered. It is suggested that emergency plans should be made for just such an eventuality. Even if Chernobyl could not happen in the UK, the effects of accidents are international. The way in which nuclear reactor accidents happen is explored, taking the 1957 Windscale fire, Three Mile Island and Chernobyl as examples. Reactor designs and accident scenarios are considered. The different reactor designs are listed. As well as the Chernobyl RBMK design it is suggested that the light water reactors also have undesirable features from the point of view of safety. (U.K.)

  4. DEVELOPMENT OF METHODOLOGY FOR TRAFFIC ACCIDENT FORECASTING AT VARIOUS TYPICAL URBAN AREAS

    D. Kapsky

    2014-01-01

    The paper provides investigation results pertaining to development of methodology for forecasting traffic accidents using a “conflict zone” method that considers potential danger for two typical urban areas, namely: signaled crossings and bumps that are made in the areas of zebra crossings and it also considers various types and kinds of conflicts. The investigations have made it possible to obtain various indices of threshold sensitivity in respect of  potential risks  and in relation to tra...

  5. The primal application research of figure assimilation theory in the nuclear accident consequence forecast

    The deepgoing research of figure assimilation theory promotes many subjects' rapid development. This article outlooks the application of figure assimilation technique in the nuclear accident consequence forecast. The nuclear accident consequence forecast is a complicated system which needs rapidity and precision, so it is quiet difficult. but after the insertion of figure assimilation, it pushes on one step about the question. (authors)

  6. Risk and protection factors in fatal accidents.

    Dupont, Emmanuelle; Martensen, Heike; Papadimitriou, Eleonora; Yannis, George

    2010-03-01

    This paper aims at addressing the interest and appropriateness of performing accident severity analyses that are limited to fatal accident data. Two methodological issues are specifically discussed, namely the accident-size factors (the number of vehicles in the accident and their level of occupancy) and the comparability of the baseline risk. It is argued that - although these two issues are generally at play in accident severity analyses - their effects on, e.g., the estimation of survival probability, are exacerbated if the analysis is limited to fatal accident data. As a solution, it is recommended to control for these effects by (1) including accident-size indicators in the model, (2) focusing on different sub-groups of road-users while specifying the type of opponent in the model, so as to ensure that comparable baseline risks are worked with. These recommendations are applied in order to investigate risk and protection factors of car occupants involved in fatal accidents using data from a recently set up European Fatal Accident Investigation database (Reed and Morris, 2009). The results confirm that the estimated survival probability is affected by accident-size factors and by type of opponent. The car occupants' survival chances are negatively associated with their own age and that of their vehicle. The survival chances are also lower when seatbelt is not used. Front damage, as compared to other damaged car areas, appears to be associated with increased survival probability, but mostly in the case in which the accident opponent was another car. The interest of further investigating accident-size factors and opponent effects in fatal accidents is discussed. PMID:20159090

  7. Essays on financial forecasting and risk assessment

    Πλαστήρα, Σωτηρία Ν.

    2014-01-01

    This thesis aims at investigating the performance of empirical risk factors in financial forecasting and their assessment with respect to the associated risk. The thesis consists of four essays. The first essay focuses on whether the empirical HML and SMB risk factors, along with the long-term reversal and the momentum factors exhibit both in-sample and out-of-sample forecasting ability for the U.S. stock returns, compared to the performance of the most widely used financial variables. Our fi...

  8. Modeling and forecasting of accidents at nuclear industrial plants

    The papers on methodology of risk analysis are briefly reviewed. An analysis is performed for relationships between natural and technology-associated accidents. The program of works intended to create a standardization-methodical base of risk analysis at nuclear industrial plants is reported. A number of shortcomings is noted to exist in evaluating nuclear plant safety with the help of commonly used probabilistic criteria of safety. An algorithm of ecological-mathematical monitoring of potentially dangerous objects is suggested. It is pointed out that when developing mathematical models of potentially dangerous object operation not only technological processes, the stochasticity of heat- and mass transfer processes, environmental parameters should be taken into account but social and economical aspects as well

  9. Nuclear Accidents And Associated Environmental Risk

    The paper presents a critical review on the recent view of some safety related issues concerning nuclear accident analysis and its environmental impacts. The philosophy of defence in depth, nuclear accident classification, and quantitative evaluation of environmental risk are among the issues being discussed. The problems of nuclear data harmonization and/or models, building trust and transparence between regulatory guides and public, and alternatives for relocation pathways are also addressed and evaluated

  10. Gas Consumption Forecast and Risk Management

    Pelikán, Emil; Šimůnek, Milan

    Aguascalientes : National Institute of Statistics, Geography and Informatics, 2003. s. 139. [International Symposium on Forecasting /23./. 15.06.2003-18.06.2003, Mérida] Institutional research plan: AV0Z1030915 Keywords : risk management * genetic algorithms * time series prediction Subject RIV: BB - Applied Statistics, Operational Research

  11. Forecasting risks of natural gas consumption in Slovenia

    Efficient operation of modern energy distribution systems often requires forecasting future energy demand. This paper proposes a strategy to estimate forecasting risk. The objective of the proposed method is to improve knowledge about expected forecasting risk and to estimate the expected cash flow in advance, based on the risk model. The strategy combines an energy demand forecasting model, an economic incentive model and a risk model. Basic guidelines are given for the construction of a forecasting model that combines past energy consumption data, weather data and weather forecast. The forecasting model is required to estimate expected forecasting errors that are the basis for forecasting risk estimation. The risk estimation strategy also requires an economic incentive model that describes the influence of forecasting accuracy on the energy distribution systems' cash flow. The economic model defines the critical forecasting error levels that most strongly influence cash flow. Based on the forecasting model and the economic model, the development of a risk model is proposed. The risk model is associated with critical forecasting error levels in the context of various influential parameters such as seasonal data, month, day of the week and temperature. The risk model is applicable to estimating the daily forecasting risk based on the influential parameters. The proposed approach is illustrated by a case study of a Slovenian natural gas distribution company

  12. Severe accident risks from external events

    Randall O Gauntt

    2013-01-01

    This paper reviews the early development of design requirements for seismic events in USA early developing nuclear electric generating fleet.Notable safety studies,including WASH-1400,Sandia Siting Study and the NUREG-1150 probabilistic risk study,are briefly reviewed in terms of their relevance to extreme accidents arising from seismic and other severe accident initiators.Specific characteristic about the nature of severe accidents in nuclear power plant (NPP) are reviewed along with present day state-of-art analysis methodologies (methods for estimation of leakages and consequences of releases (MELCOR) and MELCOR accident consequence code system (MACCS)) that are used to evaluate severe accidents and to optimize mitigative and protective actions against such accidents.It is the aim of this paper to make nuclear operating nations aware of the risks that accompany a much needed energy resource and to identify some of the tools,techniques and landmark safety studies that serve to make the technology safer and to maintain vigilance and adequate safety culture for the responsible management of this valuable but unforgiving technology.

  13. Forecasting risks of natural gas consumption in Slovenia

    Potočnik, Primož; Govekar, Edvard; Poredoš, Alojz; Thaler, Marko; Grabec, Igor

    2015-01-01

    Efficient operation of modern energy distribution systems often requires forecasting future energy demand. This paper proposes a strategy to estimate forecasting risk. The objective of the proposed method is to improve knowledgeabout expected forecasting risk and to estimate the expected cash flow in advance, based on the risk model. The strategy combines an energy demand forecasting model, an economic incentive model and a risk model. Basic guidelines are given for the construction of a fore...

  14. How Relevant is Volatility Forecasting for Financial Risk Management?

    Peter F. Christoffersen; Francis X. Diebold

    1997-01-01

    It depends. If volatility fluctuates in a forecastable way, then volatility forecasts are useful for risk management; hence the interest in volatility forecastability in the risk management literature. Volatility forecastability, however, varies with horizon, and different horizons are relevant in different applications. Existing assessments are plagued by the fact that they are joint assessments of volatility forecastability and an assumed model, and the results vary not only with the horizo...

  15. HTGR accident and risk assessment

    This paper is a synopsis of the high-temperature gas-cooled reactor probabilistic risk assessments (PRAs) performed by General Atomic Company. Principal topics presented include: HTGR safety assessments, peer interfaces, safety research, process gas explosions, quantitative safety goals, licensing applications of PRA, enhanced safety, investment risk assessments, and PRA design integration

  16. Assessment of accident risks in the CRBRP. Volume 2. Appendices

    None

    1977-03-01

    Appendices to Volume I include core-related accident-sequence definition, CRBRP risk-assessment sequence-probability determinations, failure-probability data, accident scenario evaluation, radioactive material release analysis, ex-core accident analysis, safety philosophy and design features, calculation of reactor accident consequences, sensitivity study, and risk from fires.

  17. APRI-6. Accident Phenomena of Risk Importance

    Since the early 1980s, nuclear power utilities in Sweden and the Swedish Radiation Safety Authority (SSM) collaborate on the research in severe reactor accidents. In the beginning focus was mostly on strengthening protection against environmental impacts after a severe reactor accident, for example by develop systems for the filtered relief of the reactor containment. Since the early 90s, this focus has shifted to the phenomenological issues of risk-dominant significance. During the years 2006-2008, the partnership continued in the research project APRI-6. The aim was to show whether the solutions adopted in the Swedish strategy for incident management provides adequate protection for the environment. This is done by studying important phenomena in the core melt estimating the amount of radioactivity that can be released to the atmosphere in a severe accident. To achieve these objectives the research has included monitoring of international research on severe accidents and evaluation of results and continued support for research of severe accidents at the Royal Inst. of Technology (KTH) and Chalmers University. The follow-up of international research has promoted the exchange of knowledge and experience and has given access to a wealth of information on various phenomena relevant to events in severe accidents. The continued support to KTH has provided increased knowledge about the possibility of cooling the molten core in the reactor tank and the processes associated with coolability in the confinement and about steam explosions. Support for Chalmers has increased knowledge of the accident chemistry, mainly the behavior of iodine and ruthenium in the containment after an accident

  18. APRI-6. Accident Phenomena of Risk Importance

    Garis, Ninos; Ljung, J (eds.) (Swedish Radiation Safety Authority, Stockholm (Sweden)); Agrenius, Lennart (ed.) (Agrenius Ingenjoersbyraa AB, Stockholm (Sweden))

    2009-06-15

    Since the early 1980s, nuclear power utilities in Sweden and the Swedish Radiation Safety Authority (SSM) collaborate on the research in severe reactor accidents. In the beginning focus was mostly on strengthening protection against environmental impacts after a severe reactor accident, for example by develop systems for the filtered relief of the reactor containment. Since the early 90s, this focus has shifted to the phenomenological issues of risk-dominant significance. During the years 2006-2008, the partnership continued in the research project APRI-6. The aim was to show whether the solutions adopted in the Swedish strategy for incident management provides adequate protection for the environment. This is done by studying important phenomena in the core melt estimating the amount of radioactivity that can be released to the atmosphere in a severe accident. To achieve these objectives the research has included monitoring of international research on severe accidents and evaluation of results and continued support for research of severe accidents at the Royal Inst. of Technology (KTH) and Chalmers University. The follow-up of international research has promoted the exchange of knowledge and experience and has given access to a wealth of information on various phenomena relevant to events in severe accidents. The continued support to KTH has provided increased knowledge about the possibility of cooling the molten core in the reactor tank and the processes associated with coolability in the confinement and about steam explosions. Support for Chalmers has increased knowledge of the accident chemistry, mainly the behavior of iodine and ruthenium in the containment after an accident.

  19. Improving aircraft accident forecasting for an integrated plutonium storage facility

    Aircraft accidents pose a quantifiable threat to facilities used to store and process surplus weapon-grade plutonium. The Department of Energy (DOE) recently published its first aircraft accident analysis guidelines: Accident Analysis for Aircraft Crash into Hazardous Facilities. This document establishes a hierarchy of procedures for estimating the small annual frequency for aircraft accidents that impact Pantex facilities and the even smaller frequency of hazardous material released to the environment. The standard establishes a screening threshold of 10-6 impacts per year; if the initial estimate of impact frequency for a facility is below this level, no further analysis is required. The Pantex Site-Wide Environmental Impact Statement (SWEIS) calculates the aircraft impact frequency to be above this screening level. The DOE Standard encourages more detailed analyses in such cases. This report presents three refinements, namely, removing retired small military aircraft from the accident rate database, correcting the conversion factor from military accident rates (accidents per 100,000 hours) to the rates used in the DOE model (accidents per flight phase), and adjusting the conditional probability of impact for general aviation to more accurately reflect pilot training and local conditions. This report documents a halving of the predicted frequency of an aircraft impact at Pantex and points toward further reductions

  20. Forecasting, Warning and Responding to Transnational Risks

    2011-01-01

    What does it take to recognise and prevent hazards with international causes and consequences? How can we handle the risks related to financial instability, terrorism, pandemics, air pollution, flooding and climate change? The book brings together scholars and senior practitioners from different...... areas to conceptualise and empirically study the interlinked problems of forecasting, warning and mobilising preventive action. Contributors comment on key problems such as uncertainty, silo-mentality, spotting weak-signals, cultures of blame, conflicts of interest and divergent risk perceptions, but...

  1. Severe accidents at nuclear power plants. Their risk assessment and accident management

    This document is to explain the severe accident issues. Severe Accidents are defined as accidents which are far beyond the design basis and result in severe damage of the core. Accidents at Three Mild Island in USA and at Chernobyl in former Soviet Union are examples of severe accidents. The causes and progressions of the accidents as well as the actions taken are described. Probabilistic Safety Assessment (PSA) is a method to estimate the risk of severe accidents at nuclear reactors. The methodology for PSA is briefly described and current status on its application to safety related issues is introduced. The acceptability of the risks which inherently accompany every technology is then discussed. Finally, provision of accident management in Japan is introduced, including the description of accident management measures proposed for BWRs and PWRs. (author)

  2. Explaining the road accident risk: weather effects.

    Bergel-Hayat, Ruth; Debbarh, Mohammed; Antoniou, Constantinos; Yannis, George

    2013-11-01

    This research aims to highlight the link between weather conditions and road accident risk at an aggregate level and on a monthly basis, in order to improve road safety monitoring at a national level. It is based on some case studies carried out in Work Package 7 on "Data analysis and synthesis" of the EU-FP6 project "SafetyNet-Building the European Road Safety Observatory", which illustrate the use of weather variables for analysing changes in the number of road injury accidents. Time series analysis models with explanatory variables that measure the weather quantitatively were used and applied to aggregate datasets of injury accidents for France, the Netherlands and the Athens region, over periods of more than 20 years. The main results reveal significant correlations on a monthly basis between weather variables and the aggregate number of injury accidents, but the magnitude and even the sign of these correlations vary according to the type of road (motorways, rural roads or urban roads). Moreover, in the case of the interurban network in France, it appears that the rainfall effect is mainly direct on motorways--exposure being unchanged, and partly indirect on main roads--as a result of changes in exposure. Additional results obtained on a daily basis for the Athens region indicate that capturing the within-the-month variability of the weather variables and including it in a monthly model highlights the effects of extreme weather. Such findings are consistent with previous results obtained for France using a similar approach, with the exception of the negative correlation between precipitation and the number of injury accidents found for the Athens region, which is further investigated. The outlook for the approach and its added value are discussed in the conclusion. PMID:23928504

  3. Statistical and RBF NN models : providing forecasts and risk assessment

    Marček, Milan

    2009-01-01

    Forecast accuracy of economic and financial processes is a popular measure for quantifying the risk in decision making. In this paper, we develop forecasting models based on statistical (stochastic) methods, sometimes called hard computing, and on a soft method using granular computing. We consider the accuracy of forecasting models as a measure for risk evaluation. It is found that the risk estimation process based on soft methods is simplified and less critical to the question w...

  4. Comparative Assessment Of Natural Gas Accident Risks

    Burgherr, P.; Hirschberg, S

    2005-01-01

    The study utilizes a hierarchical approach including (1) comparative analyses of different energy chains, (2) specific evaluations for the natural gas chain, and (3) a detailed overview of the German situation, based on an extensive data set provided by Deutsche Vereinigung des Gas- und Wasserfaches (DVGW). According to SVGW-expertise DVGW-data can be regarded as fully representative for Swiss conditions due to very similar technologies, management, regulations and safety culture, but has a substantially stronger statistical basis because the German gas grid is about 30 times larger compared to Switzerland. Specifically, the following tasks were carried out by PSI to accomplish the objectives of this project: (1) Consolidation of existing ENSAD data, (2) identification and evaluation of additional sources, (3) comparative assessment of accident risks, and (4) detailed evaluations of specific issues and technical aspects for severe and smaller accidents in the natural gas chain that are relevant under Swiss conditions. (author)

  5. Comparative Assessment Of Natural Gas Accident Risks

    The study utilizes a hierarchical approach including (1) comparative analyses of different energy chains, (2) specific evaluations for the natural gas chain, and (3) a detailed overview of the German situation, based on an extensive data set provided by Deutsche Vereinigung des Gas- und Wasserfaches (DVGW). According to SVGW-expertise DVGW-data can be regarded as fully representative for Swiss conditions due to very similar technologies, management, regulations and safety culture, but has a substantially stronger statistical basis because the German gas grid is about 30 times larger compared to Switzerland. Specifically, the following tasks were carried out by PSI to accomplish the objectives of this project: (1) Consolidation of existing ENSAD data, (2) identification and evaluation of additional sources, (3) comparative assessment of accident risks, and (4) detailed evaluations of specific issues and technical aspects for severe and smaller accidents in the natural gas chain that are relevant under Swiss conditions. (author)

  6. Water Flow Forecasting and River Simulation for Flood Risk Analysis

    Merkurjeva, G

    2013-01-01

    The paper presents the state-of-the-art in flood forecasting and simulation applied to a river flood analysis and risk prediction. Different water flow forecasting and river simulation models are analysed. An advanced river flood forecasting and modelling approach developed within the ongoing project INFROM is described. It provides an integrated procedure for river flow forecasting and simulation advanced by integration of different models for improving predictions of th...

  7. APRI 4 - Accident Phenomena of Risk Importance

    The following conclusions are drawn from the APRI-4 project: Participation in NRC's CSARP (Cooperative Severe Accident Research Programme) has increased the knowledge of severe accidents through exchange of research results and simulation codes. The PHEBUS experiment in Cadarache performed by IPSN (Inst. de Protection de Securite Nucleaire) has shown that there are important gaps in our knowledge of severe accidents, esp. concerning reactor chemistry. It is of importance that the simulation programs are validated against the results from PHEBUS. The broad research program operated at the dept. of Nuclear Power Safety at the Royal Inst. of Technology, Stockholm produces new knowledge and it is important the the nuclear utilities take advantage of this information. It seems possible to cool a melted reactor core, if there is plenty of water available when the melt reaches the bottom of the vessel. Experiments show that the concentration of gaseous iodine decreases rapidly if metal surfaces of copper, zinc or aluminium are present. The understanding of steam explosions has increased considerably, and there is now a consensus that steam explosions is no threat to the containment. The probability for ex-vessel steam explosions is small, but the risk that the containment is damaged can not be generally excluded and must be evaluated for each plant. The most probable event after a melt-through of a Nordic BWR is that the debris on the containment bottom is coolable. Recommendations for the follow-up of APRI: Continue the participation in international projects like CSARP, PHEBUS, MCCI, MASCA etc.; Continue cooperation with Royal Inst. of Technology and Chalmers University of Technology in the subject of severe reactor accidents in order to achieve results valuable for the Swedish plants and to uphold the competence in Sweden; Continue the research on the coolability of the melt in the reactor tank and in the containment; Continue the study on the debris chemistry in the

  8. Forecasting Value-at-Risk for Crude-Oil Exposures

    Høg, Esben; Tsiaras, Leonidas

    2009-01-01

    The purpose of this paper is to forecast and evaluate Value-At-Risk for crude-oil exposures. We examine the performance of a GARCH-type based model with lagged implied volatility entering the variance equation as explanatory variable for the predicted variance. The forecasted Values-at-Risk are c......The purpose of this paper is to forecast and evaluate Value-At-Risk for crude-oil exposures. We examine the performance of a GARCH-type based model with lagged implied volatility entering the variance equation as explanatory variable for the predicted variance. The forecasted Values...

  9. Forecasting Value at Risk in Emerging Arab Stock Markets

    C. Guermat; K. Hadri; C. C. Kucukozmen

    2003-01-01

    The economic and political instability of most of the Arab countries may lead to the assumption that Arab stock markets are riskier and less predictable than stock markets in developed countries. Value at Risk (VaR) measures risk exposure at a given probability level and is very important for risk management. In this paper extreme value theory with volatility updating is used to forecast Value at Risk in three emerging Arab stock markets and the US stock market. Several forecast accuracy crit...

  10. Economic risks of nuclear power reactor accidents

    Models to be used for analyses of economic risks from events which occur during US LWR plant operation are developed in this study. The models include capabilities to estimate both onsite and offsite costs of LWR events ranging from routine plant forced outages to severe core-melt accidents resulting in large releases of radioactive material to the environment. The models have been developed for potential use by both the nuclear power industry and regulatory agencies in cost/benefit analyses for decision-making purposes. The new onsite cost models estimate societal losses from power production cost increases, plant capital losses, plant decontamination costs, and plant repair costs which may be incurred after LWR operational events. Early decommissioning costs, plant worker health impact costs, electric utility business costs, nuclear power industry costs, and litigation costs are also addressed. The newly developed offsite economic consequence models estimate The costs of post-accident population protective measures and public health impacts. The costs of population evacuation and temporary relocation, agricultural product disposal, land and property decontamination, and land interdiction are included in the economic models for population protective measures. Costs of health impacts and medical care costs are also included in the models

  11. On the application of near accident data to risk analysis of major accidents

    Major accidents are low frequency high consequence events which are not well supported by conventional statistical methods due to data scarcity. In the absence or shortage of major accident direct data, the use of partially related data of near accidentsaccident precursor data – has drawn much attention. In the present work, a methodology has been proposed based on hierarchical Bayesian analysis and accident precursor data to risk analysis of major accidents. While hierarchical Bayesian analysis facilitates incorporation of generic data into the analysis, the dependency and interaction between accident and near accident data can be encoded via a multinomial likelihood function. We applied the proposed methodology to risk analysis of offshore blowouts and demonstrated its outperformance compared to conventional approaches. - Highlights: • Probabilistic risk analysis is applied to model major accidents. • Two-stage Bayesian updating is used to generate informative distributions. • Accident precursor data are used to develop likelihood function. • A multinomial likelihood function is introduced to model dependencies among data

  12. Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures

    C-L. Chang (Chia-Lin); J.A. Jiménez-Martín (Juan-Ángel); M.J. McAleer (Michael); T. Pérez-Amaral (Teodosio)

    2011-01-01

    textabstractThe Basel II Accord requires that banks and other Authorized Deposit-taking Institutions (ADIs) communicate their daily risk forecasts to the appropriate monetary authorities at the beginning of each trading day, using one or more risk models to measure Value-at-Risk (VaR). The risk esti

  13. Avalanche risk in backcountry terrain based on usage frequency and accident data

    F. Techel

    2014-08-01

    Full Text Available In Switzerland, the vast majority of avalanche accidents occurs during recreational activities. Risk analysis studies mostly rely on accident statistics without considering exposure (or the elements at risk, i.e. how many and where people are recreating. We compared the accident data (backcountry touring with reports from two social media mountaineering networks – bergportal.ch and camptocamp.org. On these websites, users reported more than 15 000 backcountry tours during the five winters 2009/2010 to 2013/2014. We noted similar patterns in avalanche accident data and user data like demographics of recreationists, distribution of the day of the week (weekday vs. weekend or weather conditions (fine vs. poor weather. However, we also found differences such as the avalanche danger conditions on days with activities and accidents, but also the geographic distribution. While backcountry activities are concentrated in proximity to the main population centres in the West and North of the Swiss Alps, a large proportion of the severe avalanche accidents occurred in the inner-alpine, more continental regions with frequently unfavorably snowpack structure. This suggests that even greater emphasis should be put on the type of avalanche problem in avalanche education and avalanche forecasting to increase the safety of backcountry recreationists.

  14. Research on Risks and Forecasting Countermeasures of Hainan Banana Industry

    Liu, Yan-qun; Zeng, Xiao-hong; Fang, Jia

    2011-01-01

    Based on the overviews of the current conditions of Hainan banana industry, the research makes an analysis of the risks faced by Hainan banana industry. They are respectively marketing risks, natural risks, information risks and production risks. In order to promote a sustainable and rapid development of Hainan banana industry, Countermeasures are proposed in the research. The first is to strengthen the leading organization of forecasting mechanisms on banana industry. The second is to establ...

  15. The Effect of Litigation Risk on Management Earnings Forecasts

    Zhiyan Cao; Ganapathi Narayanamoorthy

    2005-01-01

    We examine the effect of litigation risk on managers' decision to issue earnings forecasts. We use a new ex ante measure of litigation risk, namely, the Directors and Officers liability insurance premium. This choice bypasses significant problems associated with the estimation of ex ante litigation risk in prior studies. By using this measure of litigation risk, our results are more intuitively appealing. We find that when faced with ex ante litigation risk, managers with bad news are more li...

  16. Evaluation of severe accident risks: Quantification of major input parameters

    In support of the Nuclear Regulatory Commission's (NRC's) assessment of the risk from severe accidents at commercial nuclear power plants in the US reported in NUREG-1150, the Severe Accident Risk Reduction Program (SAARP) has completed a revised calculation of the risk to the general public from severe accidents at five nuclear power plants: Surry, Sequoyah, Zion, Peach Bottom and Grand Gulf. The emphasis in this risk analysis was not on determining a point estimate of risk, but to determine the distribution of risk, and to assess the uncertainties that account for the breadth of this distribution. Off-site risk initiation by events, both internal to the power station and external to the power station. Much of this important input to the logic models was generated by expert panels. This document presents the distributions and the rationale supporting the distributions for the questions posed to the Source Term Panel

  17. Evaluation of severe accident risks: Quantification of major input parameters

    In support of the Nuclear Regulatory Commission's (NRC's) assessment of the risk from severe accidents at commercial nuclear power plants in the US reported in NUREG-1150, the Severe Accident Risk Reduction Program (SAARP) has completed a revised calculation of the risk to the general public from severe accidents at five nuclear power plants: Surry, Sequoyah, Zion, Peach Bottom, and Grand Gulf. The emphasis in this risk analysis was not on determining a ''so-called'' point estimate of risk. Rather, it was to determine the distribution of risk, and to discover the uncertainties that account for the breadth of this distribution. Off-site risk initiation by events, both internal to the power station and external to the power station were assessed. Much of the important input to the logic models was generated by expert panels. This document presents the distributions and the rationale supporting the distributions for the questions posed to the Structural Response Panel

  18. Accident risks in the energy sector

    This article discusses the accident rate of natural gas installations, which are quoted by the author to be lowest of all fossil fuels. The statistics on accidents and their consequences are looked at for the whole natural gas supply chain. The results of a study commissioned by the Swiss Gas and Water Professionals Association (SVGW) are presented and discussed. Statistics for the European Union and Eastern Europe are looked at and analysed. The study's methodological basis is described and the criteria used for the definition of an accident considered to be 'serious' are listed. The results of comparisons made of various energy chains are presented and discussed. Graphics are presented of frequency of occurrence and seriousness of damage for various forms of energy as well as for maximum possible consequences of accidents. Specific analyses for the natural gas chain are presented

  19. Risk evaluation for protection of the public in radiation accidents

    Evaluation of the risk that would be involved in the exposure of the public in the event of a radiation accident requires information on the biological consequences expected of such an exposure. This report defines a range of reference doses of radiation and their corresponding risks to the public in the event of a radiation accident. The reference doses and the considerations on which they were based will be used for assessing the hazards of nuclear installations and for policy decisions by the authorities responsible for measures taken to safeguards the public in the case of a nuclear accident.

  20. Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures

    Chang, Chia-Lin; Jiménez-Martín, Juan-Ángel; McAleer, Michael; Pérez-Amaral, Teodosio

    2011-01-01

    textabstractThe Basel II Accord requires that banks and other Authorized Deposit-taking Institutions (ADIs) communicate their daily risk forecasts to the appropriate monetary authorities at the beginning of each trading day, using one or more risk models to measure Value-at-Risk (VaR). The risk estimates of these models are used to determine capital requirements and associated capital costs of ADIs, depending in part on the number of previous violations, whereby realised losses exceed the est...

  1. Nestle's dynamic forecasting process: Anticipating risks and opportunities

    Dias, Ana Sofia Fidalgo

    2012-01-01

    Nestlé’s Dynamic Forecasting Process: Anticipating Risks and Opportunities This Work Project discusses the Nestlé’s Dynamic Forecasting Process, implemented within the organization as a way of reengineering its performance management concept and processes, so as to make it more flexible and capable to react to volatile business conditions. When stressing the importance of demand planning to reallocate resources and enhance performance, Nescafé Dolce Gusto comes as way of seeking improvemen...

  2. A systematic approach to construct credit risk forecast models

    Lisiane Priscila Roldão Selau; José Luis Duarte Ribeiro

    2011-01-01

    Due to the recent growth in the consumer credit market and the consequent increase in default indices, companies are seeking to improve their credit analysis by incorporating objective procedures. Multivariate techniques have been used as an alternative to construct quantitative models for credit forecast. These techniques are based on consumer profile data and allow the identification of standards concerning default behavior. This paper presents a methodology for forecasting credit risk by u...

  3. Risk analysis considering accident in nuclear reactors and oil refineries

    Risk analysis is an important tool to help decision-making, especially related to energy choices and their environmental consequences. This paper sets out to analyze the risk associated with deploying and operating a nuclear installation for later comparison with the risk of other energy sources such as oil. We have conducted a risk analysis based on the number of reactors-year and the number of worldwide accidents that have occurred in nuclear power plants. The same was done based on the number of refineries-year and the number of accidents that have occurred worldwide in oil refineries. Our results showed that the risk of accidents in nuclear power plants is smaller than the risk in oil production. We believe the proposed analysis might affect the decision-making process in the environmental area and contribute to a more sustainable energy future. (author)

  4. Smoothing Strategies Combined with ARIMA and Neural Networks to Improve the Forecasting of Traffic Accidents

    Lida Barba

    2014-01-01

    Full Text Available Two smoothing strategies combined with autoregressive integrated moving average (ARIMA and autoregressive neural networks (ANNs models to improve the forecasting of time series are presented. The strategy of forecasting is implemented using two stages. In the first stage the time series is smoothed using either, 3-point moving average smoothing, or singular value Decomposition of the Hankel matrix (HSVD. In the second stage, an ARIMA model and two ANNs for one-step-ahead time series forecasting are used. The coefficients of the first ANN are estimated through the particle swarm optimization (PSO learning algorithm, while the coefficients of the second ANN are estimated with the resilient backpropagation (RPROP learning algorithm. The proposed models are evaluated using a weekly time series of traffic accidents of Valparaíso, Chilean region, from 2003 to 2012. The best result is given by the combination HSVD-ARIMA, with a MAPE of 0 : 26%, followed by MA-ARIMA with a MAPE of 1 : 12%; the worst result is given by the MA-ANN based on PSO with a MAPE of 15 : 51%.

  5. Smoothing strategies combined with ARIMA and neural networks to improve the forecasting of traffic accidents.

    Barba, Lida; Rodríguez, Nibaldo; Montt, Cecilia

    2014-01-01

    Two smoothing strategies combined with autoregressive integrated moving average (ARIMA) and autoregressive neural networks (ANNs) models to improve the forecasting of time series are presented. The strategy of forecasting is implemented using two stages. In the first stage the time series is smoothed using either, 3-point moving average smoothing, or singular value Decomposition of the Hankel matrix (HSVD). In the second stage, an ARIMA model and two ANNs for one-step-ahead time series forecasting are used. The coefficients of the first ANN are estimated through the particle swarm optimization (PSO) learning algorithm, while the coefficients of the second ANN are estimated with the resilient backpropagation (RPROP) learning algorithm. The proposed models are evaluated using a weekly time series of traffic accidents of Valparaíso, Chilean region, from 2003 to 2012. The best result is given by the combination HSVD-ARIMA, with a MAPE of 0:26%, followed by MA-ARIMA with a MAPE of 1:12%; the worst result is given by the MA-ANN based on PSO with a MAPE of 15:51%. PMID:25243200

  6. Psychic pathology of anthropogenic accidents at risk enterprises

    The literary data on the clinic and pathogenesis distinctions of traumatic and posttraumatic stress following the accidents are analyzed. The inner contradictory character of the Chernobyl NPP operators reaction to psychodraumatic situation is revealed. A number of concepts liable to discussion is given: inner contradiction of the reactions to traumatic stress on account of accidents at risk cuterprises puts forward the way for psychology evolution in process, besides, posttraumatic stress may be considered as one of the stages of such evolution; the misuse of spirits by the persons with traumatic stress appeared on account of accidents at risk enterprises puts forward the way for the subsequent evolution towards psychic degeneration; the prevailing effect of the reality denial among the personnel of the risk enterprises may form a muthcreative attitude to technical sphere and play a certain role in the emergence of anthropogenic accidents at these enterprises. 22 refs

  7. The nuclear accident risk: a territorial approach

    How many people live in the vicinity of French nuclear power stations? Recent events - notably in Japan, but also in France - highlight the urgent need to be able to predict the possible effects of a nuclear accident on surrounding territories. Here, Ambroise Pascal identifies two key criteria for such an estimation: residential density and land use. (author)

  8. Transport project evaluation: feasibility risk assessment and scenario forecasting

    Salling, Kim Bang; Leleur, Steen

    2015-01-01

    distribution functions. The latter have been placed and ultimately simulated on the inaccuracies of determining demand forecasts, i.e. leading to travel time savings and ticket revenues of the project. Finally, RSF makes use of scenario forecasting where trend scenarios such as economic growth and level of......This paper presents a new approach to transport project assessment in terms of feasibility risk assessment and reference class forecasting. Conventionally, transport project assessment is based upon a Cost-Benefit Analysis (CBA) where evaluation criteria such as Benefit Cost Ratios (BCR) are...... Scenario Forecasting (RSF) frame. The RSF is anchored in the cost-benefit analysis; thus, it provides decision-makers with a quantitative mean of assessing the transport infrastructure project. First, the RSF method introduces uncertainties within the CBA by applying Optimism Bias uplifts on the...

  9. Forecasting risk of bankruptcy for machine-building plants

    Telipenko, E.; Zakharova, A.; Sopova, Svetlana

    2015-09-01

    The paper presents an overview of well-known bankruptcy risk forecasting models, elaborated as by Russian so by foreign authors, on the basis of the data about financial and business activities of the biggest machine-building Russian plants. The authors substantiate and confirm appropriateness of a fuzzy set model to the problem of bankruptcy risk forecasting. This model is worked out on the basis of 10 most important factors, which have the greatest influence on sales proceeds as the main financial source for a production plant.

  10. Managing major chemical accidents in China: Towards effective risk information

    Chemical industries, from their very inception, have been controversial due to the high risks they impose on safety of human beings and the environment. Recent decades have witnessed increasing impacts of the accelerating expansion of chemical industries and chemical accidents have become a major contributor to environmental and health risks in China. This calls for the establishment of an effective chemical risk management system, which requires reliable, accurate and comprehensive data in the first place. However, the current chemical accident-related data system is highly fragmented and incomplete, as different responsible authorities adopt different data collection standards and procedures for different purposes. In building a more comprehensive, integrated and effective information system, this article: (i) reviews and assesses the existing data sources and data management, (ii) analyzes data on 976 recorded major hazardous chemical accidents in China over the last 40 years, and (iii) identifies the improvements required for developing integrated risk management in China.

  11. Global risk of radioactive fallout after major nuclear reactor accidents

    Lelieveld, J.; KUNKEL, D.; M. G. Lawrence

    2012-01-01

    Major reactor accidents of nuclear power plants are rare, yet the consequences are catastrophic. But what is meant by "rare"? And what can be learned from the Chernobyl and Fukushima incidents? Here we assess the cumulative, global risk of exposure to radioactivity due to atmospheric dispersion of gases and particles following severe nuclear accidents (the most severe ones on the International Nuclear Event Scale, INES 7), using particulate 137Cs and gaseous ...

  12. Informational uncertainties of risk assessment about accidents of chemicals

    2001-01-01

    An analysis system of informational uncertainties for accidental risk assessment of chemicals is introduced. Statistical test methods and fuzzy sets method can do the quantitative analysis of the input parameters. The uncertainties of the model can be used by quantitative compared method for the leakage accidents of chemicals. The estimation of the leaking time is important for discussing accidental source term. The uncertain analyses of the release accident for pipeline gas (CO) liquid chlorine and liquid propane gas (LPG) have been discussed.

  13. Risks of potential accidents of nuclear power plants in Europe

    Slaper H; Eggink GJ; Blaauboer RO

    1993-01-01

    Over 200 nuclear power plants for commercial electricity production are presently operational in Europe. The 1986 accident with the nuclear power plant in Chernobyl has shown that severe accidents with a nuclear power plant can lead to a large scale contamination of Europe. This report is focussed on an integrated assessment of probabilistic cancer mortality risks due to possible accidental releases from the European nuclear power plants. For each of the European nuclear power plants the prob...

  14. Effects of the Chernobyl accident on public perceptions of nuclear plant accident risks

    Assessments of public perceptions of the characteristics of a nuclear power plant accident and affective responses to its likelihood were conducted 5 months before and 1 month after the Chernobyl accident. Analyses of data from 69 residents of southwestern Washington showed significant test-retest correlations for only 10 of 18 variables--accident likelihood, three measures of impact characteristics, three measures of affective reactions, and hazard knowledge by governmental sources. Of these variables, only two had significant changes in mean ratings; frequency of thought and frequency of discussion about a nearby nuclear power plant both increased. While there were significant changes only for two personal consequences (expectations of cancer and genetic effects), both of these decreased. The results of this study indicate that more attention should be given to assessing the stability of risk perceptions over time. Moreover, the data demonstrate that experience with a major accident can actually decrease rather than increase perceptions of threat

  15. Evaluation of severe accident risks, Peach Bottom, Unit 2: Appendices

    In support of the Nuclear Regulatory Commission's (NRC's) assessment of the risk from severe accidents at commercial nuclear power plants in the US reported in NUREG-1150, the Severe Accident Risk Reduction Program (SARRP) has completed a revised calculation of the risk to the general public from severe accidents at the Peach Bottom Atomic Power Station, Unit 2. This power plant, located in southeastern Pennsylvania, is operated by the Philadelphia Electric Company. The emphasis in this risk analysis was not on determining a ''so-called'' point estimate of risk. Rather, it was to determine the distribution of risk, and to discover the uncertainties that account for the breadth of this distribution. Off-site risk initiated by events both internal and external to the power station were assessed. This document provides Appendices A through E which include the following topics respectively: accident progression event tree; supporting information for the source term analysis; supporting information for the consequence analysis; risk results; and sampling information. 6 figs., 6 tabs

  16. Importance of risk communication during and after a nuclear accident.

    Perko, Tanja

    2011-07-01

    Past nuclear accidents highlight communication as one of the most important challenges in emergency management. In the early phase, communication increases awareness and understanding of protective actions and improves the population response. In the medium and long term, risk communication can facilitate the remediation process and the return to normal life. Mass media play a central role in risk communication. The recent nuclear accident in Japan, as expected, induced massive media coverage. Media were employed to communicate with the public during the contamination phase, and they will play the same important role in the clean-up and recovery phases. However, media also have to fulfill the economic aspects of publishing or broadcasting, with the "bad news is good news" slogan that is a well-known phenomenon in journalism. This article addresses the main communication challenges and suggests possible risk communication approaches to adopt in the case of a nuclear accident. PMID:21612010

  17. Comparative assessment of severe accident risks in the energy sector

    This paper addresses one of the major limitations of the current comparative studies of environmental and health impacts of energy systems, i.e. the treatment of severe accidents. The work covers technical aspects of severe accidents and thus primarily reflects an engineering perspective on the energy-related risk issues. The assessments concern full energy chains associated with fossil sources (coal, oil and gas), nuclear power and hydro power. A comprehensive severe accidents database has been established. Thanks to the variety of information sources used, it exhibits in comparison with other corresponding databases a far more extensive coverage of the energy-related accidents. For hypothetical nuclear accidents the probabilistic approach has been employed and extended to cover the economic consequences of power reactor accidents. Results of comparisons between the various energy chains are shown and discussed along with a number of current issues in comparative assessment of severe accidents. As opposed to the previous studies, the aim of the present work has been, to cover whenever possible, a relatively broad spectrum of damage categories of interest. (author) 5 figs., 1 tab., 18 refs

  18. Research on Risks and Forecasting Countermeasures of Hainan Banana Industry

    2011-01-01

    Based on the overviews of the current conditions of Hainan banana industry,the research makes an analysis of the risks faced by Hainan banana industry.They are respectively marketing risks,natural risks,information risks and production risks.In order to promote a sustainable and rapid development of Hainan banana industry,countermeasures are proposed in the research.The first is to strengthen the leading organization of forecasting mechanisms on banana industry.The second is to establish the forecasting mechanisms on banana industry,including four aspects.They are establishing the subordinate forecasting systems on Hainan banana industry;constructing information collecting and checking mechanisms of banana industry;establishing information analysis and decision-making systems and constructing information distribution and information sharing systems.The third is to promote the construction of urgency dealing abilities of banana industry.The fourth is to further perfect the risk-defending and protecting systems of banana industry in Hainan.The fifth is to accelerate the standard generation of banana to improve marketing competence.The sixth is to accelerate the development of intermediate agents to improve the organization degrees.And the last one is to put emphasis on the tech-training courses on banana planting and production to improve the technical quality of banana industry.

  19. On the nature of risk and accidents

    By consensus, 'errors of omission' and 'errors of commission' have their origin in the human rather than in the technological parts of the system. It has therefore been customary to base explanations on the available psychological 'error models', which mostly have been of the human information processing and internal 'error mechanisms' type. Yet the fact that an 'error of commission' necessarily involves a human action does not mean that the explanation, hence the modelling, must be confined to human functions - cognitive or otherwise. On the contrary, the experience from accident analyses as well as state-of-the-art HRA approaches all emphasize that action failures reflect the impact of the working conditions more than any specific mechanism'. This corresponds to a change in accident models from sequential, over epidemiological, to systemic. According to the latter, action failures - or action error modes - should be seen as the irregular, but not totally random, outcome of the system's performance variability rather than as specific effects of specific causes. This change in perspective have significant consequences for the ways in which action error modes are modelled and classified, and therefore also for the methods that can be used for prediction. (author)

  20. Global risk of radioactive fallout after major nuclear reactor accidents

    J. Lelieveld

    2012-05-01

    Full Text Available Major reactor accidents of nuclear power plants are rare, yet the consequences are catastrophic. But what is meant by "rare"? And what can be learned from the Chernobyl and Fukushima incidents? Here we assess the cumulative, global risk of exposure to radioactivity due to atmospheric dispersion of gases and particles following severe nuclear accidents (the most severe ones on the International Nuclear Event Scale, INES 7, using particulate 137Cs and gaseous 131I as proxies for the fallout. Our results indicate that previously the occurrence of INES 7 major accidents and the risks of radioactive contamination have been underestimated. Using a global model of the atmosphere we compute that on average, in the event of a major reactor accident of any nuclear power plant worldwide, more than 90% of emitted 137Cs would be transported beyond 50 km and about 50% beyond 1000 km distance before being deposited. This corroborates that such accidents have large-scale and trans-boundary impacts. Although the emission strengths and atmospheric removal processes of 137Cs and 131I are quite different, the radioactive contamination patterns over land and the human exposure due to deposition are computed to be similar. High human exposure risks occur around reactors in densely populated regions, notably in West Europe and South Asia, where a major reactor accident can subject around 30 million people to radioactive contamination. The recent decision by Germany to phase out its nuclear reactors will reduce the national risk, though a large risk will still remain from the reactors in neighbouring countries.

  1. A method for risk analysis of nuclear reactor accidents

    A method is developed for deriving a set of equations relating the public risk in potential nuclear reactor accidents to the basic variables, such as population distributions and radioactive releases, which determine the consequences of the accidents. The equations can be used to determine the risk for different values of the basic variables without the need of complex computer programs and can be used to determine the variable values which are needed to satisfy various risk criteria. The methodology development in the study involves fitting risk distribution of frequency versus consequence to parametric distribution and then relating the distribution parameters to the basic variable of interest using regression techniques. The Weibull distribution was found to be appropriate for the early fatalities distributions for hurricanes, tornadoes, earthquakes, dam failures and nuclear reactor accidents. A set of equations is then derived which relate the population distribution and the parameters of the Weibull distribution for early fatalities from PWR accidents. The derived equations are straightforward and useful in analyses of population and other effects (eg radioactive release) on risk

  2. Recent advances in flood forecasting and flood risk assessment

    G. Arduino

    2005-01-01

    Full Text Available Recent large floods in Europe have led to increased interest in research and development of flood forecasting systems. Some of these events have been provoked by some of the wettest rainfall periods on record which has led to speculation that such extremes are attributable in some measure to anthropogenic global warming and represent the beginning of a period of higher flood frequency. Whilst current trends in extreme event statistics will be difficult to discern, conclusively, there has been a substantial increase in the frequency of high floods in the 20th century for basins greater than 2x105 km2. There is also increasing that anthropogenic forcing of climate change may lead to an increased probability of extreme precipitation and, hence, of flooding. There is, therefore, major emphasis on the improvement of operational flood forecasting systems in Europe, with significant European Community spending on research and development on prototype forecasting systems and flood risk management projects. This Special Issue synthesises the most relevant scientific and technological results presented at the International Conference on Flood Forecasting in Europe held in Rotterdam from 3-5 March 2003. During that meeting 150 scientists, forecasters and stakeholders from four continents assembled to present their work and current operational best practice and to discuss future directions of scientific and technological efforts in flood prediction and prevention. The papers presented at the conference fall into seven themes, as follows.

  3. Method for risk analysis of nuclear reactor accidents

    A method is developed for deriving a set of equations relating the public risk in potential nuclear reactor accidents to the basic variables, such as population distributions and radioactive releases, which determine the consequences of the accidents. The equations can be used to determine the risk for different values of the basic variables without the need of complex computer programs and can be used to determine the variable values which are needed to satisfy various risk criteria. The methodology developed in this study consists of two steps. The first step involves fitting the risk distributions of frequency versus consequence to parametric distributions which contain a small number of parameters. The second step involves deriving the equations which relate the distribution parameters to the basic variables of interest. Regression techniques are used for this second step. The methodology is demonstrated for examples based on the results of the Reactor Safety Study. The calculated distributions of early fatalities in nuclear reactor accidents and the historical records of fatalities in hurricanes, tornadoes, earthquakes and dam failures are examined to determine an appropriate family of parametric distributions. From these examinations, the Weibull distribution is found to be appropriate for all of the examined events. A set of equations is then derived which relate the population distribution and the parameters of the Weibull distributions for early fatalities from PWR accidents. Regression equations relating the parameters to the characteristics of radioactive releases are also derived

  4. A Method for Forecasting Credit Risk of Global Device Purchasing

    2002-01-01

    With the development of the Internet and E-commerce, enterprises can achieve global device purchasing with a good cost performance. But the credit risk is the key factor in selecting a device provider. Credit risk involves many qualitative and quantitative factors. We construct a multi-agent credit rating model system based on CSCW, which organically combines the people's aptitude and the capability of machines. Enterprises can use this credit rating system for forecasting and defeating the credit risk of global device purchasing.

  5. Nuclear installations abroad the accident risks and their potential consequences

    This paper endeavors to assess the threat to Ireland from severe accidents at civil nuclear installations. Among the various types of nuclear installations worldwide, reactors and reprocessing plants are considered to be the most threatening and so the paper focuses on these. The threat is assumed to be a function of the risk of severe accidents at the above types of installations and the probability of unfavourable weather conditions carrying the radioactive releases to Ireland. Although nuclear installations designed in eastern Europe and Asia are less safe than others, the greatest threat to Ireland arises from nearby installations in the UK. The difficulty of measuring the probabilities and consequences of severe nuclear accidents at nuclear installations in general is explained. In the case of the UK installations, this difficulty is overcome to some degree by using values of 'tolerable' risk adopted by the national nuclear regulator to define the radiotoxic releases from nuclear accidents. These are used as input to atmospheric dispersion models in which unfavourable weather conditions for Ireland are assumed and radiation doses are calculated to members of the Irish public. No countermeasures, such as sheltering, are assumed. In the worst cast scenario no deaths would be expected in Ireland in the immediate aftermath of the accident however, an increase in cancers over a period of 25 years or so would be expected assuming present-day models for the effect of low level radiation are valid

  6. Comparative risk assessment of severe accidents in the energy sector

    Comparative assessment of accident risks in the energy sector is a key aspect in a comprehensive evaluation of sustainability and energy security concerns. Safety performance of energy systems can have important implications on the environmental, economic and social dimensions of sustainability as well as availability, acceptability and accessibility aspects of energy security. Therefore, this study provides a broad comparison of energy technologies based on the objective expression of accident risks for complete energy chains. For fossil chains and hydropower the extensive historical experience available in PSI's Energy-related Severe Accident Database (ENSAD) is used, whereas for nuclear a simplified probabilistic safety assessment (PSA) is applied, and evaluations of new renewables are based on a combination of available data, modeling, and expert judgment. Generally, OECD and EU 27 countries perform better than non-OECD. Fatality rates are lowest for Western hydropower and nuclear as well as for new renewables. In contrast, maximum consequences can be by far highest for nuclear and hydro, intermediate for fossil, and very small for new renewables, which are less prone to severe accidents. Centralized, low-carbon technology options could generally contribute to achieve large reductions in CO2-emissions; however, the principal challenge for both fossil with Carbon Capture and Storage and nuclear is public acceptance. Although, external costs of severe accidents are significantly smaller than those caused by air pollution, accidents can have disastrous and long-term impacts. Overall, no technology performs best or worst in all respects, thus tradeoffs and priorities are needed to balance the conflicting objectives such as energy security, sustainability and risk aversion to support rationale decision making. - Highlights: • Accident risks are compared across a broad range of energy technologies. • Analysis of historical experience was based on the

  7. Accident Precursor Analysis and Management: Reducing Technological Risk Through Diligence

    Phimister, James R. (Editor); Bier, Vicki M. (Editor); Kunreuther, Howard C. (Editor)

    2004-01-01

    Almost every year there is at least one technological disaster that highlights the challenge of managing technological risk. On February 1, 2003, the space shuttle Columbia and her crew were lost during reentry into the atmosphere. In the summer of 2003, there was a blackout that left millions of people in the northeast United States without electricity. Forensic analyses, congressional hearings, investigations by scientific boards and panels, and journalistic and academic research have yielded a wealth of information about the events that led up to each disaster, and questions have arisen. Why were the events that led to the accident not recognized as harbingers? Why were risk-reducing steps not taken? This line of questioning is based on the assumption that signals before an accident can and should be recognized. To examine the validity of this assumption, the National Academy of Engineering (NAE) undertook the Accident Precursors Project in February 2003. The project was overseen by a committee of experts from the safety and risk-sciences communities. Rather than examining a single accident or incident, the committee decided to investigate how different organizations anticipate and assess the likelihood of accidents from accident precursors. The project culminated in a workshop held in Washington, D.C., in July 2003. This report includes the papers presented at the workshop, as well as findings and recommendations based on the workshop results and committee discussions. The papers describe precursor strategies in aviation, the chemical industry, health care, nuclear power and security operations. In addition to current practices, they also address some areas for future research.

  8. Hazard Identification, Risk Assessment and Risk Control (HIRARC Accidents at Power Plant

    Ahmad Asmalia Che

    2016-01-01

    Full Text Available Power plant had a reputation of being one of the most hazardous workplace environments. Workers in the power plant face many safety risks due to the nature of the job. Although power plants are safer nowadays since the industry has urged the employer to improve their employees’ safety, the employees still stumble upon many hazards thus accidents at workplace. The aim of the present study is to investigate work related accidents at power plants based on HIRARC (Hazard Identification, Risk Assessment and Risk Control process. The data were collected at two coal-fired power plant located in Malaysia. The finding of the study identified hazards and assess risk relate to accidents occurred at the power plants. The finding of the study suggested the possible control measures and corrective actions to reduce or eliminate the risk that can be used by power plant in preventing accidents from occurred

  9. Global risk of radioactive fallout after nuclear reactor accidents

    J. Lelieveld

    2011-11-01

    Full Text Available Reactor core meltdowns of nuclear power plants are rare, yet the consequences are catastrophic. But what is meant by "rare"? And what can be learned from the Chernobyl and Fukushima incidents? Here we assess the risk of exposure to radioactivity due to atmospheric dispersion of gases and particles following severe nuclear accidents, using particulate 137Cs and gaseous 131I as proxies for the fallout. It appears that previously the occurrence of major accidents and the risks of radioactive contamination have been underestimated. Using a global model of the atmosphere we compute that on average, in the event of a core melt of any nuclear power plant worldwide, more than 90% of emitted 137Cs would be transported beyond 50km and about 50% beyond 1000 km distance. This corroborates that such accidents have large-scale and trans-boundary impacts. Although the emission strengths and atmospheric removal processes of 137Cs and 131I are quite different, the radioactive contamination patterns over land and the human deposition exposure are computed to be similar. High human exposure risks occur around reactors in densely populated regions, notably in southern Asia where a core melt can subject 55 million people to radioactive contamination. The recent decision by Germany to phase out its nuclear reactors will reduce the national risk, though a large risk will still remain from the reactors in neighbouring countries.

  10. CAViaR-based forecast for oil price risk

    Huang, Dashan [Olin School of Business, Washington University, St. Louis, MO 63130 (United States); Yu, Baimin [Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190 (China); Fabozzi, Frank J. [School of Management, Yale University, New Haven, CT 06520 (United States); Fukushima, Masao [Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University, Kyoto, 606-8501 (Japan)

    2009-07-15

    As a benchmark for measuring market risk, value-at-risk (VaR) reduces the risk associated with any kind of asset to just a number (amount in terms of a currency), which can be well understood by regulators, board members, and other interested parties. This paper employs a new VaR approach due to Engle and Manganelli [Engle, R.F., Manganelli, S., 2004. CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles. Journal of Business and Economic Statistics 22, 367-381] to forecasting oil price risk. In doing so, we provide two original contributions by introducing a new exponentially weighted moving average CAViaR model and developing a mixed data regression model for multi-period VaR prediction. (author)

  11. CAViaR-based forecast for oil price risk

    As a benchmark for measuring market risk, value-at-risk (VaR) reduces the risk associated with any kind of asset to just a number (amount in terms of a currency), which can be well understood by regulators, board members, and other interested parties. This paper employs a new VaR approach due to Engle and Manganelli [Engle, R.F., Manganelli, S., 2004. CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles. Journal of Business and Economic Statistics 22, 367-381] to forecasting oil price risk. In doing so, we provide two original contributions by introducing a new exponentially weighted moving average CAViaR model and developing a mixed data regression model for multi-period VaR prediction. (author)

  12. International Evidence on GFC-robust Forecasts for Risk Management under te Basel Accord

    M.J. McAleer (Michael); J.A. Jiménez-Martín (Juan-Ángel); T. Pérez-Amaral (Teodosio)

    2011-01-01

    textabstractA risk management strategy that is designed to be robust to the Global Financial Crisis (GFC), in the sense of selecting a Value-at-Risk (VaR) forecast that combines the forecasts of different VaR models, was proposed in McAleer et al. (2010c). The robust forecast is based on the median

  13. Flash flood forecasting, warning and risk management: the HYDRATE project

    Highlights: → We characterize flash flood events in various regions of Europe. → We provide guidance to improve observations and monitoring of flash floods. → Flash floods are associated to orography and are influenced by initial soil moisture conditions. → Models for flash flood forecasting and flash flood hazard assessment are illustrated and discussed. → We examine implications for flood risk policy and discuss recommendations received from end users. - Abstract: The management of flash flood hazards and risks is a critical component of public safety and quality of life. Flash-floods develop at space and time scales that conventional observation systems are not able to monitor for rainfall and river discharge. Consequently, the atmospheric and hydrological generating mechanisms of flash-floods are poorly understood, leading to highly uncertain forecasts of these events. The objective of the HYDRATE project has been to improve the scientific basis of flash flood forecasting by advancing and harmonising a European-wide innovative flash flood observation strategy and developing a coherent set of technologies and tools for effective early warning systems. To this end, the project included actions on the organization of the existing flash flood data patrimony across Europe. The final aim of HYDRATE was to enhance the capability of flash flood forecasting in ungauged basins by exploiting the extended availability of flash flood data and the improved process understanding. This paper provides a review of the work conducted in HYDRATE with a special emphasis on how this body of research can contribute to guide the policy-life cycle concerning flash flood risk management.

  14. Risk assessment for long-term post-accident sequences

    Probabilistic risk analysis, currently conducted by the CEA (French Atomic Energy Commission) for the French replicate series of 900 MWe power plants, has identified accident sequences requiring long-term operation of some systems after the initiating event. They have been named long-term sequences. Quantification of probabilities of such sequences cannot rely exclusively on equipment failure-on-demand data: it must also take into account operating failures, the probability of which increase with time. Specific studies have therefore been conducted for a number of plant systems actuated during these long-term sequences. This has required: - Definition of the most realistic equipment utilization strategies based on existing emergency procedures for 900 MWe French plants. - Evaluation of the potential to repair failed equipment, given accessibility, repair time, and specific radiation conditions for the given sequence. - Definition of the event bringing the long-term sequence to an end. - Establishment of an appropriate quantification method, capable of taking into account the evolution of assumptions concerning equipment utilization strategies or repair conditions over time. The accident sequence quantification method based on realistic scenarios has been used in the risk assessment of the initiating event loss of reactor coolant accident occurring at power and at shutdown. Compared with the results obtained from conventional methods, this method redistributes the relative weight of accident sequences and also demonstrates that the long term can be a significant contribution to the probability of core melt

  15. A systematic approach to construct credit risk forecast models

    Lisiane Priscila Roldão Selau

    2011-04-01

    Full Text Available Due to the recent growth in the consumer credit market and the consequent increase in default indices, companies are seeking to improve their credit analysis by incorporating objective procedures. Multivariate techniques have been used as an alternative to construct quantitative models for credit forecast. These techniques are based on consumer profile data and allow the identification of standards concerning default behavior. This paper presents a methodology for forecasting credit risk by using three multivariate techniques: discriminant analysis, logistic regression and neural networks. The proposed method (deemed the CRF Model consists of six steps and is illustrated by means of a real application. An important contribution of this paper is the organization of the methodological procedures and the discussion of the decisions that should be made during the application of the model. The feasibility of the approach proposed was tested in a program for granting credit offered by a network of pharmacies. The use of the models for forecasting credit risk greatly reduces the subjectivity of the analysis, by establishing a standardized procedure that speeds up and qualifies credit analysis

  16. Global risk of radioactive fallout after nuclear reactor accidents

    Lelieveld, J.; KUNKEL, D.; M. G. Lawrence

    2011-01-01

    Reactor core meltdowns of nuclear power plants are rare, yet the consequences are catastrophic. But what is meant by "rare"? And what can be learned from the Chernobyl and Fukushima incidents? Here we assess the risk of exposure to radioactivity due to atmospheric dispersion of gases and particles following severe nuclear accidents, using particulate 137Cs and gaseous 131I as proxies for the fallout. It appears that previously the occurrence of ma...

  17. The management of risk to society from potential accidents

    The main report of the United Kingdom Atomic Energy Authority (UKAEA) Working Group on Risks to Society from Potential Major Accidents is presented. It is the outcome of a study by AEA Technology, the trading name of the UKAEA, in support of its own decision-making on risk management of the nuclear plants and laboratories it controls. The principles underlying decisions on social risk are of much broader applicability, however. The report is prefaced by an Executive Summary which is intended to be a stand-alone summary of the results of the study. The topics covered include: an examination of the nature of risk; the distinction to be drawn between individual and societal risk; existing risks; risk estimation; goals and targets as defined in terms of acceptance, tolerability and comparison between risks; regulations relating to risk targets; risk management decisions in theory and practice; societal risk management. A final chapter brings together the conclusions and recommendations from the preceding nine with respect to risk estimation, evaluation, management and overall approach. Two appendices deal with cost benefit analysis and provide a glossary and acronyms. (UK)

  18. Simplified risk assessment based on accident categories at Tokai Reprocessing Plant

    We studied the application of probabilistic safety assessment (PSA) to nuclear fuel cycle facilities in Japan because PSA is expected to be useful for improving safety management and regulations. We decided to conduct a risk assessment by taking into account the probability of accident events at Tokai Reprocessing Plant (TRP). First, we selected possible accident events at TRP by applying the Hazard and Operability Study (HAZOP) and analyzing previous accidents that occurred in reprocessing plants around the world. Then, we conducted a simplified risk assessment of each of the selected individual accident events and compared the assessment results for four accident categories (fire, explosion, criticality, and other accident events in which large amounts of radioactive materials are released). In the future, we plan to conduct a detailed risk assessment of events with the highest risk in each accident category. In this report, we describe the comparative results of simplified risk assessment for each accident category. (author)

  19. Nuclear power: accident probabilities, risks, and benefits. A bibliography

    This report is a selected listing of 396 documents pertaining to nuclear accident probability and nuclear risk. Because of the attention focused on these concepts by the recent (August 1974) publication of the draft of WASH-1400, ''Reactor Safety Study,'' it is intended that this bibliography make conveniently available the existence of relevant literature on these concepts. Such an awareness will enhance an understanding of probability and risk as applied to nuclear power plants and is essential to their further development and/or application. This bibliography includes first a listing of the selected documents with abstracts and keywords, followed by three indexes: (1) keyword, (2) author, and (3) permuted title

  20. Forecasting individual breast cancer risk using plasma metabolomics and biocontours

    Bro, Rasmus; Kamstrup-Nielsen, Maja Hermann; Engelsen, Søren Balling;

    2015-01-01

    Breast cancer is a major cause of death for women. To improve treatment, current oncology research focuses on discovering and validating new biomarkers for early detection of cancer; so far with limited success. Metabolic profiling of plasma samples and auxiliary lifestyle information was combined...... by chemometric data fusion. It was possible to create a biocontour, which we define as a complex pattern of relevant biological and phenotypic information. While single markers or known risk factors have close to no predictive value, the developed biocontour provides a forecast which, several years before...

  1. Multicomponent risk inherent to nuclear or radiation accidents

    A nuclear or radiation emergency response planning is based on expected avertable doses for a short (4 hours, 2 days, 1 week) and a long (50 or 70 years) periods of time. On calculating the doses one should take into account not only the sources of ionizing radiation with their foreseen characteristics, e.g. a half-life, but also the possibility of their probabilistic transformations. It can be illustrated by the chronicle of Chernobyl accident, where for nine days it was impossible to envisage with reliability the quantities of released radionuclides due to many uncontrolled factors related to the scope and character of the zone wreckage. Any other developments of the accident, such as destruction of the under reactor support plate, sinking of the melted zone into a highly radioactive water down at the reactor cavity or changing of the wind could have resulted in a substantial contamination of 3 mln. Kiev and other densely populated area of Ukraine. Another factor to be taken into account in the emergency response is a way of an actual risk perception by the population. The article suggests an approach to take into account the time-dependent secondary sources of exposure and the disparity in accepting the hazard of real risk of an accident by the trained workers and population. (author)

  2. Severe accident risks: An assessment for five US nuclear power plants: Appendices A, B, and C

    This report summarizes an assessment of the risks from severe accidents in five commercial nuclear power plants in the United States. These risks are measured in a number of ways, including: the estimated frequencies of core damage accidents from internally initiated accidents and externally initiated accidents for two or the plants; the performance of containment structures under severe accident loadings; the potential magnitude of radionuclide release and offsite consequences of such accidents; and the overall risk (the product of accident frequencies and consequences). Supporting this summary report are a large number of reports written under contract to NRC that provide the detailed discussion of the methods used and results obtained in these risk studies. Volume 2 of this report contains three appendices, providing greater detail on the methods used, an example risk calculation, and more detailed discussion of particular technical issues found important in the risk studies

  3. Defining accident sequences for conducting probabilistic risk assessments

    A major portion of any PRA activity is devoted to the identification of potential accident sequences which could lead to radiological releases. A systematic application of acceptable methods and techniques is desirable. Event tree and fault tree analysis form the basis for plant/system modeling. Consensus approaches for acquisition of information, model development, assumptions, constraints, inclusion of common cause events, interrelationships of event trees and fault trees, accuracy, completeness and manner of documentation are presented. Alternative methods which may be used or directed toward a specialized purpose are also of interest. Particular emphasis is placed on defining in practical terms the specific tasks of accident sequence definition and what is required, why it is necessary and how each task relates to the overall risk assessment process

  4. Risk perception and safety targets for major accidents

    The Safety and Reliability Directorate of the U.K. Atomic Energy Authority is currently (1987) conducting a re-examination of the risk to society arising from major accidents, and in particular major accidents that could potentially originate from the nuclear power industry. As part of this work, the criteria of safety have been reviewed and the definition of safety goals and safety targets to be met in different circumstances have been examined. Safety goals and targets must be clear to the design and operating side of the industry and to the regulatory authorities; however, they must also be understood by and broadly acceptable to decision makers and to the concerned public. The S.R.D. therefore invited the Environmental Risk Assessment Unit in the University of East Anglia to organise this Seminnar, to include a number of people in academic life who have studied different aspects of the perception of risks and of the factors that seem to argue for or against the acceptability of risks. The papers submitted to the Seminar by six invited speakers are printed in full; they have been slightly amended by the authors in the light of the discussion. A short account of the main points that emerged during the discussions is included at the end of the Report. (author)

  5. Evaluation of severe accident risks: Quantification of major input parameters: MAACS (MELCOR Accident Consequence Code System) input

    Sprung, J.L.; Jow, H-N (Sandia National Labs., Albuquerque, NM (USA)); Rollstin, J.A. (GRAM, Inc., Albuquerque, NM (USA)); Helton, J.C. (Arizona State Univ., Tempe, AZ (USA))

    1990-12-01

    Estimation of offsite accident consequences is the customary final step in a probabilistic assessment of the risks of severe nuclear reactor accidents. Recently, the Nuclear Regulatory Commission reassessed the risks of severe accidents at five US power reactors (NUREG-1150). Offsite accident consequences for NUREG-1150 source terms were estimated using the MELCOR Accident Consequence Code System (MACCS). Before these calculations were performed, most MACCS input parameters were reviewed, and for each parameter reviewed, a best-estimate value was recommended. This report presents the results of these reviews. Specifically, recommended values and the basis for their selection are presented for MACCS atmospheric and biospheric transport, emergency response, food pathway, and economic input parameters. Dose conversion factors and health effect parameters are not reviewed in this report. 134 refs., 15 figs., 110 tabs.

  6. Evaluation of severe accident risks: Quantification of major input parameters: MAACS [MELCOR Accident Consequence Code System] input

    Estimation of offsite accident consequences is the customary final step in a probabilistic assessment of the risks of severe nuclear reactor accidents. Recently, the Nuclear Regulatory Commission reassessed the risks of severe accidents at five US power reactors (NUREG-1150). Offsite accident consequences for NUREG-1150 source terms were estimated using the MELCOR Accident Consequence Code System (MACCS). Before these calculations were performed, most MACCS input parameters were reviewed, and for each parameter reviewed, a best-estimate value was recommended. This report presents the results of these reviews. Specifically, recommended values and the basis for their selection are presented for MACCS atmospheric and biospheric transport, emergency response, food pathway, and economic input parameters. Dose conversion factors and health effect parameters are not reviewed in this report. 134 refs., 15 figs., 110 tabs

  7. Forecast Skill and Farmers' Skills: Seasonal Climate Forecasts and Agricultural Risk Management in the Southeastern United States

    Crane, T.A.; Roncoli, C.; Paz, J.; Breuer, N.E.; Broad, K.; Ingram, K.T.; Hoogenboom, G.

    2010-01-01

    During the last 10 yr, research on seasonal climate forecasts as an agricultural risk management tool has pursued three directions: modeling potential impacts and responses, identifying opportunities and constraints, and analyzing risk communication aspects. Most of these approaches tend to frame se

  8. Analysis of avalanche risk factors in backcountry terrain based on usage frequency and accident data in Switzerland

    Techel, F.; Zweifel, B.; Winkler, K.

    2015-09-01

    Recreational activities in snow-covered mountainous terrain in the backcountry account for the vast majority of avalanche accidents. Studies analyzing avalanche risk mostly rely on accident statistics without considering exposure (or the elements at risk), i.e., how many, when and where people are recreating, as data on recreational activity in the winter mountains are scarce. To fill this gap, we explored volunteered geographic information on two social media mountaineering websites - bergportal.ch and camptocamp.org. Based on these data, we present a spatiotemporal pattern of winter backcountry touring activity in the Swiss Alps and compare this with accident statistics. Geographically, activity was concentrated in Alpine regions relatively close to the main Swiss population centers in the west and north. In contrast, accidents occurred equally often in the less-frequented inner-alpine regions. Weekends, weather and avalanche conditions influenced the number of recreationists, while the odds to be involved in a severe avalanche accident did not depend on weekends or weather conditions. However, the likelihood of being involved in an accident increased with increasing avalanche danger level, but also with a more unfavorable snowpack containing persistent weak layers (also referred to as an old snow problem). In fact, the most critical situation for backcountry recreationists and professionals occurred on days and in regions when both the avalanche danger was critical and when the snowpack contained persistent weak layers. The frequently occurring geographical pattern of a more unfavorable snowpack structure also explains the relatively high proportion of accidents in the less-frequented inner-alpine regions. These results have practical implications: avalanche forecasters should clearly communicate the avalanche danger and the avalanche problem to the backcountry user, particularly if persistent weak layers are of concern. Professionals and recreationists, on the

  9. Measuring Risk Aversion for Nuclear Power Plant Accident: Results of Contingent Valuation Survey in Korea

    Lee, Sang Hun; Kang, Hyun Gook [KAIST, Daejeon (Korea, Republic of)

    2015-05-15

    Within the evaluation of the external cost of nuclear energy, the estimation of the external cost of nuclear power plant (NPP) severe accident is one of the major topics to be addressed. For the evaluation of the external cost of NPP severe accident, the effect of public risk averse behavior against the group accidents, such as NPP accident, dam failure, must be addressed. Although the equivalent fatalities from a single group accident are not common and its risk is very small compared to other accidents, people perceive the group accident more seriously. In other words, people are more concerned about low probability/high consequence events than about high probability/low consequence events having the same mean damage. One of the representative method to integrate the risk aversion in the external costs of severe nuclear reactor accidents was developed by Eeckoudt et al., and he used the risk aversion coefficient, mainly based on the analysis of financial risks in the stock markets to evaluate the external cost of nuclear severe accident. However, the use of financial risk aversion coefficient to nuclear severe accidents is not appropriate, because financial risk and nuclear severe accident risk are entirely different. In this paper, the individual-level survey was conducted to measure the risk aversion coefficient and estimate the multiplication factor to integrate the risk aversion in the external costs of NPP severe accident. This study propose an integrated framework on estimation of the external cost associated with severe accidents of NPP considering public risk aversion behavior. The theoretical framework to estimate the risk aversion coefficient/multiplication factor and to assess economic damages from a hypothetical NPP accident was constructed. Based on the theoretical framework, the risk aversion coefficient can be analyzed by conducting public survey with a carefully designed lottery questions. Compared to the previous studies on estimation of the

  10. Measuring Risk Aversion for Nuclear Power Plant Accident: Results of Contingent Valuation Survey in Korea

    Within the evaluation of the external cost of nuclear energy, the estimation of the external cost of nuclear power plant (NPP) severe accident is one of the major topics to be addressed. For the evaluation of the external cost of NPP severe accident, the effect of public risk averse behavior against the group accidents, such as NPP accident, dam failure, must be addressed. Although the equivalent fatalities from a single group accident are not common and its risk is very small compared to other accidents, people perceive the group accident more seriously. In other words, people are more concerned about low probability/high consequence events than about high probability/low consequence events having the same mean damage. One of the representative method to integrate the risk aversion in the external costs of severe nuclear reactor accidents was developed by Eeckoudt et al., and he used the risk aversion coefficient, mainly based on the analysis of financial risks in the stock markets to evaluate the external cost of nuclear severe accident. However, the use of financial risk aversion coefficient to nuclear severe accidents is not appropriate, because financial risk and nuclear severe accident risk are entirely different. In this paper, the individual-level survey was conducted to measure the risk aversion coefficient and estimate the multiplication factor to integrate the risk aversion in the external costs of NPP severe accident. This study propose an integrated framework on estimation of the external cost associated with severe accidents of NPP considering public risk aversion behavior. The theoretical framework to estimate the risk aversion coefficient/multiplication factor and to assess economic damages from a hypothetical NPP accident was constructed. Based on the theoretical framework, the risk aversion coefficient can be analyzed by conducting public survey with a carefully designed lottery questions. Compared to the previous studies on estimation of the

  11. Risk assessment of aircraft accidents anywhere near an airport

    This work analyzes the more suitable areas to build new facilities, taking into account the conditions imposed by an airport located nearby. Initially, it describes the major characteristics of the airport. Then, the restrictions imposed to ensure the normal operation of the aircraft are analyzed. Following, there is a summary of the evolution of studies of aircraft accidents at nuclear facilities. In the second part, three models of aircraft crash probabilities are presented, all of them developed in the U.S.A, each with an increasing level of complexity in modeling the likelihood of accidents. The first model is the 'STD-3014' Department of Energy (DOE), the second is the 'ACRAM'(Aircraft Crash Risk Assessment Methodology) prepared by the 'Lawrence Livermore National Laboratory'(LLNL) and finally the more advanced 'ACRP-3', produced by the 'Transportation Research Board'. The results obtained with the three models establish that the risks imposed on the airport vicinity, remain low due to the improvement and innovation in the aircraft's safety, reducing the risk margin for the location of new nuclear facilities near an airport. (author)

  12. Severe accident risks: An assessment for five US nuclear power plants

    This report summarizes an assessment of the risks from severe accidents in five commercial nuclear power plants in the United State. These risks are measured in a number of ways, including: the estimated frequencies of core damage accidents from internally initiated accidents and externally initiated accidents for two of the plants; the performance of containment structures under severe accident loadings; the potential magnitude of radionuclide releases and offsite consequences of such accidents; and the overall risk (the product of accident frequencies and consequences). Supporting this summary report are a large number of reports written under contract to NRC that provide the detailed discussion of the methods used and results obtained in these risk studies. This report, Volume 3, contains two appendices. Appendix D summarizes comments received, and staff responses, on the first (February 1987) draft of NUREG-1150. Appendix E provides a similar summary of comments and responses, but for the second (June 1989) version of the report

  13. Forecast performance of implied volatility and the impact of the volatility risk premium

    Ralf Becker; Adam Clements; Christopher Coleman-Fenn

    2009-01-01

    Forecasting volatility has received a great deal of research attention, with the relative performance of econometric models based on time-series data and option implied volatility forecasts often being considered. While many studies find that implied volatility is the preferred approach, a number of issues remain unresolved. Implied volatilities are risk-neutral forecasts of spot volatility, whereas time-series models are estimated on risk-adjusted or real world data of the underlying. Recent...

  14. Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures

    Casarin, Roberto; Chang, Chia-Lin; Jiménez-Martín, Juan-Ángel; McAleer, Michael; Pérez-Amaral, Teodosio

    2011-01-01

    It is well known that the Basel II Accord requires banks and other Authorized Deposit-taking Institutions (ADIs) to communicate their daily risk forecasts to the appropriate monetary authorities at the beginning of each trading day, using one or more risk models, whether individually or as combinations, to measure Value-at-Risk (VaR). The risk estimates of these models are used to determine capital requirements and associated capital costs of ADIs, depending in part on the number of previous ...

  15. Risk Factors and Road Traffic Accidents in Tanzania: A Case Study of Kibaha District

    Komba, Deus Damian

    2007-01-01

    This thesis discusses the risk factors which are associated to the cause of road traffic accidents in Kibaha district in Tanzania; the study describes the composition of motor related injuries including non motorized casualties in Kibaha district. The thesis assesses different road safety measures taken by the local authorities to prevent accidents in Kibaha district.In identifying risk factor associated to the cause of road traffic accidents, four theoretical frameworks: System theory, risk ...

  16. Risk Factors and Road Traffic Accidents in Tanzania : A Case Study of Kibaha District

    Komba, Deus Damian

    2007-01-01

    This thesis discusses the risk factors which are associated to the cause of road traffic accidents in Kibaha district in Tanzania; the study describes the composition of motor related injuries including non motorized casualties in Kibaha district. The thesis assesses different road safety measures taken by the local authorities to prevent accidents in Kibaha district. In identifying risk factor associated to the cause of road traffic accidents, four theoretical frameworks: System theory, risk...

  17. The development of a nuclear accident risk information system

    The computerized system NARIS (Nuclear Accident Risk Information System) was developed in order to support the estimation of health effects and the establishment the effective risk reduction strategies. Using the system, we can analyze the distribution of health effects easily by displaying the results on the digital map of the site. Also, the thematic mapping allows the diverse analyses of the distribution of the health effects. The NARIS can be used in the emergency operation facilities in order to analyze the distribution of the health effects resulting from the severe accidents of a nuclear power plant. Also, the rapid analysis of the health effect is possible by storing the health effect results in the form of a database. Therefore, the staffs of the emergency operation facilities can establish the rapid and effective emergency response strategies. The module for the optimization of the costs and benefits and the decision making support will be added. The technical support for the establishment of the optimum and effective emergency response strategies will be possible using this system

  18. A NEW HAZARD EVALUATION PROCEDURE FOR PREDICTING RISK FACTORS OF OCCUPATIONAL ACCIDENTS

    Hüseyin CEYLAN

    2013-05-01

    Full Text Available With annual average of 73,937 occupational accidents and 1,152 deaths, Turkey still faces an important problem. The country exercises one of the lowest performances in job safety among the European Union countries. Developments in technology increased the importance of safety management in industry. These improvements also resulted in a requirement of more investment and assignment on human in work systems. This situation increases the importance of forecasting the possible accidents that workers can face and preventing the accidents by taking necessary precautions. In this study a prognostic model has been developed to forecast the occupational accidents in coming periods at the departments of the facilities in hazardous work systems. The validity of the proposed model has been proved by implementing it into practice in hazardous work systems in the manufacturing industry.

  19. Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures

    R. Casarin (Roberto); C-L. Chang (Chia-Lin); J.A. Jiménez-Martín (Juan-Ángel); M.J. McAleer (Michael); T. Pérez-Amaral (Teodosio)

    2011-01-01

    textabstractIt is well known that the Basel II Accord requires banks and other Authorized Deposit-taking Institutions (ADIs) to communicate their daily risk forecasts to the appropriate monetary authorities at the beginning of each trading day, using one or more risk models, whether individually or

  20. Injury risk prediction for traffic accidents in Porto Alegre/RS, Brazil

    Perone, Christian S.

    2015-01-01

    This study describes the experimental application of Machine Learning techniques to build prediction models that can assess the injury risk associated with traffic accidents. This work uses an freely available data set of traffic accident records that took place in the city of Porto Alegre/RS (Brazil) during the year of 2013. This study also provides an analysis of the most important attributes of a traffic accident that could produce an outcome of injury to the people involved in the accident.

  1. Expert forecast on emerging biological risks related to occupational safety and health

    Brun, Emmanuelle

    2007-01-01

    This report contains a forecast of emerging biological risks related to occupational safety and health (OSH) based on an expert survey and a literature review. The Agency also worked on forecasts and literature reviews on physical, chemical, and psychosocial risks in order to paint as full a picture as possible of the potential emerging risks in the world of work. These results are linked to other Risk Observatory work and aims to examine OSH trends in Europe and to anticipa...

  2. Evaluation of severe accident risk in the Pickering a risk assessment

    The nature of the design of commercial power plants is such that significant impacts on public health can only occur if a number of barriers fail. Rigorous design and licensing requirements ensure that the more likely accidents do not fail all these barriers and their contribution to risk is likely to be small. The task of estimating accident risk must, therefore, focus more towards those less likely but potentially more serious combinations of failures that are characterized by the following: a) a large release of fission products into the containment atmosphere, b) a breach in the containment envelope, and c) the existence of a driving force to expel the containment atmosphere to the outside environment. The likelihood of such conditions existing simultaneously during the course of an accident is expected to be small, such that experience and data regarding the behaviour of plant systems under such conditions is sparse or non-existent. The challenge of Probabilistic Safety Assessments (PSAs) is to examine the potential for severe accidents using approaches that are sufficiently detailed and realistic to provide valid information regarding plant risk and susceptibilities, while simple enough to keep the analysis manageable. This paper outlines the key features of the Pickering A Risk Assessment (PARA) (1) and the manner in which it addresses these issues, and provides some insights into the results and conclusions drawn from the study. (author)

  3. The performance of composite forecast models of value-at-risk in the energy market

    This paper examines a comparative evaluation of the predictive performance of various Value-at-Risk (VaR) models in the energy market. This study extends the conventional research in literature, by proposing composite forecast models for applying to Brent and WTI crude oil prices. Forecasting techniques considered here include the EWMA, stable density, Kernel density, Hull and White, GARCH-GPD, plus composite forecasts from linearly combining two or more of the competing models above. Findings show Hull and White to be the most powerful approach for capturing downside risk in the energy market. Reasonable results are also available from carefully combining VaR forecasts. (author)

  4. How can food risks be prevented after a nuclear accident?

    In exercises, risk prevention measures relating to contaminated foods generally involve areas where the consumption and sale of foods are prohibited if exceed the European Council food intervention levels (CFILs) defined following the Chernobyl accident. However, CFILs do not offer systematic protection for population living in the immediate vicinity of an accident, because this standards only consider those living farther and are only likely to be contaminated by eating contaminated foods, which may arrive in limited quantities from the contaminated area byway of international trade. The CODIRPA 'Life in contaminated rural areas' working group has therefore put forward some proposed guidelines to delimit two separate areas: i) a 'food prohibition area', where a comprehensive and systematic ban would be temporarily placed on the consumption and marketing of locally produced foods; ii) a larger 'monitoring area', where, following a temporary ban, foodstuffs would be marketed in accordance with European or international standards. Consumption of locally produced foods would be authorised there, subject to 'good food hygiene' recommendations. Decision criteria and areas delimitation are here submitted for the new zoning system. (author)

  5. Empirical Risk Analysis of Severe Reactor Accidents in Nuclear Power Plants after Fukushima

    Jan Christian Kaiser

    2012-01-01

    Many countries are reexamining the risks connected with nuclear power generation after the Fukushima accidents. To provide updated information for the corresponding discussion a simple empirical approach is applied for risk quantification of severe reactor accidents with International Nuclear and Radiological Event Scale (INES) level ≥5. The analysis is based on worldwide data of commercial nuclear facilities. An empirical hazard of 21 (95% confidence intervals (CI) 4; 62) severe accidents am...

  6. Fews-Risk: A step towards risk-based flood forecasting

    Bachmann, Daniel; Eilander, Dirk; de Leeuw, Annemargreet; Diermanse, Ferdinand; Weerts, Albrecht; de Bruijn, Karin; Beckers, Joost; Boelee, Leonore; Brown, Emma; Hazlewood, Caroline

    2015-04-01

    Operational flood prediction and the assessment of flood risk are important components of flood management. Currently, the model-based prediction of discharge and/or water level in a river is common practice for operational flood forecasting. Based on the prediction of these values decisions about specific emergency measures are made within operational flood management. However, the information provided for decision support is restricted to pure hydrological or hydraulic aspects of a flood. Information about weak sections within the flood defences, flood prone areas and assets at risk in the protected areas are rarely used in a model-based flood forecasting system. This information is often available for strategic planning, but is not in an appropriate format for operational purposes. The idea of FEWS-Risk is the extension of existing flood forecasting systems with elements of strategic flood risk analysis, such as probabilistic failure analysis, two dimensional flood spreading simulation and the analysis of flood impacts and consequences. Thus, additional information is provided to the decision makers, such as: • Location, timing and probability of failure of defined sections of the flood defence line; • Flood spreading, extent and hydraulic values in the hinterland caused by an overflow or a breach flow • Impacts and consequences in case of flooding in the protected areas, such as injuries or casualties and/or damages to critical infrastructure or economy. In contrast with purely hydraulic-based operational information, these additional data focus upon decision support for answering crucial questions within an operational flood forecasting framework, such as: • Where should I reinforce my flood defence system? • What type of action can I take to mend a weak spot in my flood defences? • What are the consequences of a breach? • Which areas should I evacuate first? This presentation outlines the additional required workflows towards risk-based flood

  7. Willingness-to-pay for decreased risk from nuclear plant accidents. Working Paper No. 43

    The study examines one factor encompassed in the evaluation of the nuclear energy system: the collective value people assign to risk avoidance. The specific risks dealt with were the risks of death or injury due to nuclear plant accidents. This value figure was arrived at by having the study participants assign monetary values to changes in the probabilities of plant accidents. No attempt was made to establish ''real'' accident probability rates, rather, the issue was treated hypothetically. The method by which this value figure was approached was through a study examining willingness-to-pay for decreased risk, and conversely, willingness-to-be-compensated to permit risk increase

  8. Development of the severe accident risk information database management system SARD

    The main purpose of this report is to introduce essential features and functions of a severe accident risk information management system, SARD (Severe Accident Risk Database Management System) version 1.0, which has been developed in Korea Atomic Energy Research Institute, and database management and data retrieval procedures through the system. The present database management system has powerful capabilities that can store automatically and manage systematically the plant-specific severe accident analysis results for core damage sequences leading to severe accidents, and search intelligently the related severe accident risk information. For that purpose, the present database system mainly takes into account the plant-specific severe accident sequences obtained from the Level 2 Probabilistic Safety Assessments (PSAs), base case analysis results for various severe accident sequences (such as code responses and summary for key-event timings), and related sensitivity analysis results for key input parameters/models employed in the severe accident codes. Accordingly, the present database system can be effectively applied in supporting the Level 2 PSA of similar plants, for fast prediction and intelligent retrieval of the required severe accident risk information for the specific plant whose information was previously stored in the database system, and development of plant-specific severe accident management strategies

  9. Development of the severe accident risk information database management system SARD

    Ahn, Kwang Il; Kim, Dong Ha

    2003-01-01

    The main purpose of this report is to introduce essential features and functions of a severe accident risk information management system, SARD (Severe Accident Risk Database Management System) version 1.0, which has been developed in Korea Atomic Energy Research Institute, and database management and data retrieval procedures through the system. The present database management system has powerful capabilities that can store automatically and manage systematically the plant-specific severe accident analysis results for core damage sequences leading to severe accidents, and search intelligently the related severe accident risk information. For that purpose, the present database system mainly takes into account the plant-specific severe accident sequences obtained from the Level 2 Probabilistic Safety Assessments (PSAs), base case analysis results for various severe accident sequences (such as code responses and summary for key-event timings), and related sensitivity analysis results for key input parameters/models employed in the severe accident codes. Accordingly, the present database system can be effectively applied in supporting the Level 2 PSA of similar plants, for fast prediction and intelligent retrieval of the required severe accident risk information for the specific plant whose information was previously stored in the database system, and development of plant-specific severe accident management strategies.

  10. The risk of major nuclear accident: calculation and perception of probabilities

    Whereas before the Fukushima accident, already eight major accidents occurred in nuclear power plants, a number which is higher than that expected by experts and rather close to that corresponding of people perception of risk, the author discusses how to understand these differences and reconcile observations, objective probability of accidents and subjective assessment of risks, why experts have been over-optimistic, whether public opinion is irrational regarding nuclear risk, and how to measure risk and its perception. Thus, he addresses and discusses the following issues: risk calculation (cost, calculated frequency of major accident, bias between the number of observed accidents and model predictions), perceived probabilities and aversion for disasters (perception biases of probability, perception biases unfavourable to nuclear), the Bayes contribution and its application (Bayes-Laplace law, statistics, choice of an a priori probability, prediction of the next event, probability of a core fusion tomorrow)

  11. Assessment of radiation risk as a part of ecological risk in the Republic of Belarus after the Chernobyl accident

    Full text: The purpose of the work: foundation for principles of planning protection measures, that provide safety for population activity on the territories, contaminated with radio-nuclides, by analysing radio-chemical situation, using risk assessment methods. Problems set in the work: -) Analyses of radiation risk in the structure of ecological risk in the territory of the Republic of Belarus after the Chernobyl accident; -) Investigation of chemical risk level, connected with air pollution from stationary objects exhausts, for the territories, contaminated with Chernobyl radio-nuclides; -) Modelling of the combined impact of ionising radiation and chemical carcinogen for the possible ecological risk assessment; -) Involving modern geo informational systems in the radio-ecological risk assessment process; -) Foundation for the assessment methodology of the complex influence of negative factors in the territories, contaminated with Chernobyl radio-nuclides. The problems are solved by carrying out specific experiments and by analysing published and own data on radioactive and chemical contamination of some regions of Belarus. Major findings: Radiation input to the really registered carcinogens is estimated to app. 10 %. In case of multiple factors influence of different contaminators of industrial and natural origin (i.e. radiation is not the only negative factor), ignorance of non-radiation origin factors may seriously distort estimation of radiation risk, when it is related to the registered effects. Radiation should be in no way treated as the major factor of real ecological risk in Belarus. Method for comparative analysis of territories' ecological risk level is developed and implemented. A GIS segment, that includes subsystem of the real and forecasted radio-ecological mapping, is created. The authors grounded the experimental model for study the complex influence of radioactive and non-radioactive (chemical carcinogen) factors. Revealed dependencies 'dose

  12. Risks of accidents with nuclear power plants in Europe: A European risk map of nuclear accidents by means of the Eurisk study

    The title method requires an identification of sources and releases, dispersion and deposition calculations, an exposure assessment method and an integrated risk assessment. The starting point of the risk evaluation is the estimation of accident probabilities and source terms for each of the 217 nuclear power reactors in Europe, which were included in the present evaluation. Eurisk aims at estimating the mortality risks of possible nuclear power plant accidents and is part of the Third National Environmental Outline of RIVM. The method is briefly discussed as well as the most important results of this risk evaluation. 7 figs., 5 refs

  13. Usefulness of high resolution coastal models for operational oil spill forecast: the "Full City" accident

    G. Broström

    2011-11-01

    Full Text Available Oil spill modeling is considered to be an important part of a decision support system (DeSS for oil spill combatment and is useful for remedial action in case of accidents, as well as for designing the environmental monitoring system that is frequently set up after major accidents. Many accidents take place in coastal areas, implying that low resolution basin scale ocean models are of limited use for predicting the trajectories of an oil spill. In this study, we target the oil spill in connection with the "Full City" accident on the Norwegian south coast and compare operational simulations from three different oil spill models for the area. The result of the analysis is that all models do a satisfactory job. The "standard" operational model for the area is shown to have severe flaws, but by applying ocean forcing data of higher resolution (1.5 km resolution, the model system shows results that compare well with observations. The study also shows that an ensemble of results from the three different models is useful when predicting/analyzing oil spill in coastal areas.

  14. Perceived risks and risk attitudes in southern Russia in the aftermath of the Chernobyl accident

    Drottz-Sjoeberg, B.M. [Stockholm School of Economics (Sweden). Center for Risk Research; Rumyantseva, G.M.; Martyvshov, A.N. [The Serbsky Research Institute, Moscow, (Russian Federation)

    1993-10-01

    The present study was conducted within the framework of the Joint Study Project 2 (JSP2), a research project involving the European Community and the Commonwealth of Independent States. The task involved the investigation of public reactions to radioactive contamination due to the Chernobyl accident in 1986. The here presented field-work was designed as a pilot investigation in a series of studies aimed at contributing to the understanding of social and psychological factors relevant to the design of countermeasures in the case of a future nuclear accident. The report presents questionnaire data collected from people living in Novozybkov and its surroundings in Russia, in the summer of 1992. The chosen areas had an overall surface contamination level of 15-40 Ci/km{sup 2}. The results showed that the respondents recalled the date of the accident surprisingly well. They often indicated that they had heard the first news of the accident via TV, radio or rumors. They often reported the content of that information to have been related to an explosion or a fire at a nuclear plant. They indicated that they at the time had a rather modest reaction to the news. Current worries especially concerned health risks due to the radioactive contamination, although the respondents also emphasized that ordinary life was filled with worries. Middle-aged persons and parents often indicated the highest personal worry. Risk ratings related to radiation and radioactive contamination were high. Ratings of perceived change in risk level since the accident of a variety of hazards showed an overall increase. 27 refs, 23 figs, 23 tabs.

  15. Perceived risks and risk attitudes in southern Russia in the aftermath of the Chernobyl accident

    The present study was conducted within the framework of the Joint Study Project 2 (JSP2), a research project involving the European Community and the Commonwealth of Independent States. The task involved the investigation of public reactions to radioactive contamination due to the Chernobyl accident in 1986. The here presented field-work was designed as a pilot investigation in a series of studies aimed at contributing to the understanding of social and psychological factors relevant to the design of countermeasures in the case of a future nuclear accident. The report presents questionnaire data collected from people living in Novozybkov and its surroundings in Russia, in the summer of 1992. The chosen areas had an overall surface contamination level of 15-40 Ci/km2. The results showed that the respondents recalled the date of the accident surprisingly well. They often indicated that they had heard the first news of the accident via TV, radio or rumors. They often reported the content of that information to have been related to an explosion or a fire at a nuclear plant. They indicated that they at the time had a rather modest reaction to the news. Current worries especially concerned health risks due to the radioactive contamination, although the respondents also emphasized that ordinary life was filled with worries. Middle-aged persons and parents often indicated the highest personal worry. Risk ratings related to radiation and radioactive contamination were high. Ratings of perceived change in risk level since the accident of a variety of hazards showed an overall increase. 27 refs, 23 figs, 23 tabs

  16. Probabilistic runoff volume forecasting in risk-based optimization for RTC of urban drainage systems

    Löwe, Roland; Vezzaro, Luca; Mikkelsen, Peter Steen;

    2016-01-01

    overflow risk. The stochastic control framework and the performance of the runoff forecasting models are tested in a case study in Copenhagen (76 km2 with 6 sub-catchments and 7 control points) using 2-h radar rainfall forecasts and inlet flows to control points computed from a variety of noisy...

  17. A database system for the management of severe accident risk information, SARD

    Ahn, K. I.; Kim, D. H. [KAERI, Taejon (Korea, Republic of)

    2003-10-01

    The purpose of this paper is to introduce main features and functions of a PC Windows-based database management system, SARD, which has been developed at Korea Atomic Energy Research Institute for automatic management and search of the severe accident risk information. Main functions of the present database system are implemented by three closely related, but distinctive modules: (1) fixing of an initial environment for data storage and retrieval, (2) automatic loading and management of accident information, and (3) automatic search and retrieval of accident information. For this, the present database system manipulates various form of the plant-specific severe accident risk information, such as dominant severe accident sequences identified from the plant-specific Level 2 Probabilistic Safety Assessment (PSA) and accident sequence-specific information obtained from the representative severe accident codes (e.g., base case and sensitivity analysis results, and summary for key plant responses). The present database system makes it possible to implement fast prediction and intelligent retrieval of the required severe accident risk information for various accident sequences, and in turn it can be used for the support of the Level 2 PSA of similar plants and for the development of plant-specific severe accident management strategies.

  18. Have US Legislatures Fully Considered Causal Factors in Assigning Liability for Inherent Risk Accidents?

    Terence J. Centner

    2014-09-01

    Full Text Available The public’s dissatisfaction with American tort rules has led US state legislatures to enact more than 120 statutes for assigning liability for accident losses. Many of these statutes address the liability of accidents involving inherent risks of activities where neither the activity provider nor injured participant was negligent. Due to business complaints about high insurance costs, legislatures decided that participants ought to bear the costs arising from inherent risk accidents. Yet, causal factors associated with sport activities may support an alternative liability rule to maximize social welfare. Because inherent risk statutes lead to increased activity levels, they are accompanied by increased accident costs. Factors causing incorrect liability results may be compared to offer a recommendation for a liability regime for inherent risk accidents.

  19. Risk analysis of emergent water pollution accidents based on a Bayesian Network.

    Tang, Caihong; Yi, Yujun; Yang, Zhifeng; Sun, Jie

    2016-01-01

    To guarantee the security of water quality in water transfer channels, especially in open channels, analysis of potential emergent pollution sources in the water transfer process is critical. It is also indispensable for forewarnings and protection from emergent pollution accidents. Bridges above open channels with large amounts of truck traffic are the main locations where emergent accidents could occur. A Bayesian Network model, which consists of six root nodes and three middle layer nodes, was developed in this paper, and was employed to identify the possibility of potential pollution risk. Dianbei Bridge is reviewed as a typical bridge on an open channel of the Middle Route of the South to North Water Transfer Project where emergent traffic accidents could occur. Risk of water pollutions caused by leakage of pollutants into water is focused in this study. The risk for potential traffic accidents at the Dianbei Bridge implies a risk for water pollution in the canal. Based on survey data, statistical analysis, and domain specialist knowledge, a Bayesian Network model was established. The human factor of emergent accidents has been considered in this model. Additionally, this model has been employed to describe the probability of accidents and the risk level. The sensitive reasons for pollution accidents have been deduced. The case has also been simulated that sensitive factors are in a state of most likely to lead to accidents. PMID:26433361

  20. Relevance of Fukushima Nuclear Accident to India: Nuclear Radiation Risk and Interventions to Mitigate Adverse Fallout

    Yadav Kapil, Varshney Neha, Aslesh OP, Karmakar MG, Pandav Chandrakant S

    2012-01-01

    The environmental radiation release from Fukushima nuclear power following tsunami in Japan has once again highlighted the omnipotent risk of radiation injury in the today’s world. India is at a real risk from radiation fallout both due to nuclear power plant accidents and nuclear warfare threat. The risk from nuclear radiation accident in India is further increased by the region being endemic for iodine deficiency as adverse effects following nuclear radiation fallout l...

  1. Guidelines for Exposure Assessment in Health Risk Studies Following a Nuclear Reactor Accident

    Bouville, André; Linet, Martha S.; Hatch, Maureen; Mabuchi, Kiyohiko; Simon, Steven L.

    2013-01-01

    Background: Worldwide concerns regarding health effects after the Chernobyl and Fukushima nuclear power plant accidents indicate a clear need to identify short- and long-term health impacts that might result from accidents in the future. Fundamental to addressing this problem are reliable and accurate radiation dose estimates for the affected populations. The available guidance for activities following nuclear accidents is limited with regard to strategies for dose assessment in health risk s...

  2. Radiation risk in Republics Belarus after Chernobyl accident

    under observation by the year 2004. The obtained results conform to the other authors' conclusions (Malko M.V., 2001, 2003). In the framework of the ICRP model it's shown that a maximum possible influence of the radiation contamination factor can't be a source of the actually registered carcinogenic risk. In this connection, an analysis of the ecological hazard non-radiation components is of importance. By now, the scientific community has achieved the understanding of the fact that a chemical pollution risk can be compared with a risk of the radiation contamination even in the regions mostly suffered from the accident at the Chernobyl atomic power station. Furthermore, under a combined influence of a complex of factors, there is a risk of a nonlinear enhancement of the adverse effects. In this connection, an urgent problem appeared consisting of the new approach elaboration on the evaluation of the technogenic environment contamination, under which an influence of different adverse factors would be expressed in comparable values, suitable for their comparative analysis. This problem solving refers first of all to the decision making optimization at the safety arrangements planning on the contaminated territories. (author)

  3. Risks of potential accidents of nuclear power plants in Europe

    Slaper H; Eggink GJ; Blaauboer RO

    1993-01-01

    Over 200 nuclear power plants for commercial electricity production are presently operational in Europe. The 1986 accident with the nuclear power plant in Chernobyl has shown that severe accidents with a nuclear power plant can lead to a large scale contamination of Europe. This report is focussed

  4. Risks of potential accidents of nuclear power plants in Europe

    Slaper H; Eggink GJ; Blaauboer RO

    1993-01-01

    Over 200 nuclear power plants for commercial electricity production are presently operational in Europe. The 1986 accident with the nuclear power plant in Chernobyl has shown that severe accidents with a nuclear power plant can lead to a large scale contamination of Europe. This report is focussed o

  5. A functional assay-based strategy for nanomaterial risk forecasting

    Hendren, Christine Ogilvie, E-mail: christine.hendren@duke.edu [Center for the Environmental Implications of NanoTechnology, Duke University, Durham, NC 27708 (United States); Lowry, Gregory V., E-mail: glowry@andrew.cmu.edu [Center for the Environmental Implications of NanoTechnology, Duke University, Durham, NC 27708 (United States); Department of Civil and Environmental Engineering, Carnegie Mellon University, 119 Porter Hall, Pittsburgh, PA 15213 (United States); Unrine, Jason M., E-mail: jason.unrine@uky.edu [Center for the Environmental Implications of NanoTechnology, Duke University, Durham, NC 27708 (United States); Department of Plant and Soil Sciences, University of Kentucky, Agricultural Science Center, Lexington, KY 40546 (United States); Wiesner, Mark R., E-mail: wiesner@duke.edu [Center for the Environmental Implications of NanoTechnology, Duke University, Durham, NC 27708 (United States); Department of Civil and Environmental Engineering, Duke University, 121 Hudson Hall PO Box 90287, Durham, NC 27708 (United States)

    2015-12-01

    The study of nanomaterial impacts on environment, health and safety (nanoEHS) has been largely predicated on the assumption that exposure and hazard can be predicted from physical–chemical properties of nanomaterials. This approach is rooted in the view that nanoöbjects essentially resemble chemicals with additional particle-based attributes that must be included among their intrinsic physical–chemical descriptors. With the exception of the trivial case of nanomaterials made from toxic or highly reactive materials, this approach has yielded few actionable guidelines for predicting nanomaterial risk. This article addresses inherent problems in structuring a nanoEHS research strategy based on the goal of predicting outcomes directly from nanomaterial properties, and proposes a framework for organizing data and designing integrated experiments based on functional assays (FAs). FAs are intermediary, semi-empirical measures of processes or functions within a specified system that bridge the gap between nanomaterial properties and potential outcomes in complex systems. The three components of a functional assay are standardized protocols for parameter determination and reporting, a theoretical context for parameter application and reference systems. We propose the identification and adoption of reference systems where FAs may be applied to provide parameter estimates for environmental fate and effects models, as well as benchmarks for comparing the results of FAs and experiments conducted in more complex and varied systems. Surface affinity and dissolution rate are identified as two critical FAs for characterizing nanomaterial behavior in a variety of important systems. The use of these FAs to predict bioaccumulation and toxicity for initial and aged nanomaterials is illustrated for the case of silver nanoparticles and Caenorhabditis elegans. - Highlights: • Approaches to predict risk directly from nanomaterial (NM) properties are problematic. • We propose

  6. A functional assay-based strategy for nanomaterial risk forecasting

    The study of nanomaterial impacts on environment, health and safety (nanoEHS) has been largely predicated on the assumption that exposure and hazard can be predicted from physical–chemical properties of nanomaterials. This approach is rooted in the view that nanoöbjects essentially resemble chemicals with additional particle-based attributes that must be included among their intrinsic physical–chemical descriptors. With the exception of the trivial case of nanomaterials made from toxic or highly reactive materials, this approach has yielded few actionable guidelines for predicting nanomaterial risk. This article addresses inherent problems in structuring a nanoEHS research strategy based on the goal of predicting outcomes directly from nanomaterial properties, and proposes a framework for organizing data and designing integrated experiments based on functional assays (FAs). FAs are intermediary, semi-empirical measures of processes or functions within a specified system that bridge the gap between nanomaterial properties and potential outcomes in complex systems. The three components of a functional assay are standardized protocols for parameter determination and reporting, a theoretical context for parameter application and reference systems. We propose the identification and adoption of reference systems where FAs may be applied to provide parameter estimates for environmental fate and effects models, as well as benchmarks for comparing the results of FAs and experiments conducted in more complex and varied systems. Surface affinity and dissolution rate are identified as two critical FAs for characterizing nanomaterial behavior in a variety of important systems. The use of these FAs to predict bioaccumulation and toxicity for initial and aged nanomaterials is illustrated for the case of silver nanoparticles and Caenorhabditis elegans. - Highlights: • Approaches to predict risk directly from nanomaterial (NM) properties are problematic. • We propose

  7. Accident risk and safety measures in the transport sector in Norway; Ulykkesrisiko og sikkerhetstiltak i transportsektoren

    NONE

    1998-12-01

    The scope of the work described in this report was (1) to evaluate methods for risk mapping considering all of the different means of transport, (2) to evaluate the extent to which measures should be taken against various types of accidents, (3) to evaluate cost-benefit assessments of accident-reducing measures irrespective of the different means of transport, (4) to evaluate the preferences of measures/cost effectiveness of different measures within different sectors, and (4) to evaluate the possibility of improving the efficiency of possible measures. It also considers the risk situation for ferry service. In addition to the purely human aspect, traffic accidents constitute an expensive social problem. Yet it would be too costly to meet a potential requirement that traffic accidents should disappear. The resources used by society to combat accidents have to be seen in the light of (1) the profit that can be achieved compared to alternative use of the resources, and (2) the possible negative consequences of different safety measures on, for instance, travel time and the extent of the transport. It is pointed out that when accident risk is compared from one transport means to another, different relative positions are found depending on how risk is quantified. Thus, for instance, on average, per year 5 times as many people die in accidents involving private cars as in motor cycle accidents, while for the number of deaths per billion person kilometers the ratio is almost the opposite,1:6.5. 34 refs., 12 figs., 13 tabs.

  8. [Risk factors for accidents during sports while serving in German armed forces].

    Gundlach, N; Sammito, S; Böckelmann, I

    2012-03-01

    In the German Armed Forces sports activities should bring the benefits of good health and trained fitness which are the hallmarks of sportsmen. In order to achieve this aim it is important to avoid accidents which negate the benefit of sports. Until today there appear to be no studies in existence which demonstrate the risk factors of sports activities undertaken while in military service. Equivalent studies on civilian sport activities are scarcely comparable. To find out risk factors for accidents with any period of recovery we followed sports accidents while on duty in a German barracks with 4,300 soldiers over a two-year period. Additionally we asked about the time needed for recovery from each accident, parameters of lifestyle, the body mass index and the possibility of a nightshift before each accident. We examined a minimum of 410 accidents. We found associations between the accidents studied and particular risk factors, including doing sports more than two times a week, being active in a fitness or sports club, having the accident together with another sportsman and doing a nightshift before the day of the accident. Bad ground conditions contributed to a large number of accidents. A body mass index of 25 and higher had a significantly prolonged time for recovery. To avoid accidents, sport and ground conditions should be adapted to each other. In addition, overweight people are not only compromised for cardiovascular and neurological diseases but also have a higher risk of needing a prolonged time for recovery, thus it is important that overweight should be avoided and not only just be treated. PMID:22422284

  9. Reactor safety study. An assessment of accident risks in U. S. commercial nuclear power plants. Executive summary: main report. [PWR and BWR

    1975-10-01

    Information is presented concerning the objectives and organization of the reactor safety study; the basic concepts of risk; the nature of nuclear power plant accidents; risk assessment methodology; reactor accident risk; and comparison of nuclear risks to other societal risks.

  10. A validation study of the intertran model for assessing risks of transportation accidents: Road transport of uranium hexafluoride

    The INTERTRAN code was developed by the IAEA in order to provide member states with a simple and rapide method of assessing the risk involved in the transportation of radioactive materials and one which was applicable on a worldwide scale. Before being used, this code must be validated and the CEA thus compared the results obtained with the conventional risk assessment methods used by the CEPN with those derived from INTERTRAN. This paper gives the results of the studies made on the subject of road transportation of uranium hexafluoride in France. The conventional accident risk assessment method gave a figure of 8.84 x 10-4 deaths/year, whereas INTERTRAN announces 1.78 x 10-2. To these figures should be added 3.38 x 10-2 deaths/year, which is the intrinsic road risk, whatever the goods carried. In relation to conventional estimates, the INTERTRAN forecasts are five times lower for the U risk and twenty times higher for the HF risk. The chemical risk is indeed the most prevalent one in this case. Other comparisons are needed to validate this code

  11. Accident risk and factors regarding non-motorised road users

    Agerholm, Niels; Andersen, Camilla Sloth

    2015-01-01

    is put into the reduction of the vast majority of the accidents, NMRU single accidents, which are about 90% of all injured NMRUs. There are no efficient tools available to reduce this number. A significantly better designed, maintained, and illuminated road network would most likely help. However......, that is expensive and not possible for most road authorities. Despite this, the challenges with NMRUs in single accidents need more attention, if road safety is to be improved. The situation in Denmark is more than likely the case in many other countries as well; although the documentation is scarce....

  12. A comparative analysis of accident risks in fossil, hydro, and nuclear energy chains

    Burgherr, P.; Hirschberg, S. [Paul Scherrer Institute, Villigen (Switzerland)

    2008-07-01

    This study presents a comparative assessment of severe accident risks in the energy sector, based on the historical experience of fossil (coal, oil, natural gas, and LPG (Liquefied Petroleum Gas)) and hydro chains contained in the comprehensive Energy-related Severe Accident Database (ENSAD), as well as Probabilistic Safety Assessment (PSA) for the nuclear chain. Full energy chains were considered because accidents can take place at every stage of the chain. Comparative analyses for the years 1969-2000 included a total of 1870 severe ({>=} 5 fatalities) accidents, amounting to 81,258 fatalities. Although 79.1% of all accidents and 88.9% of associated fatalities occurred in less developed, non-OECD countries, industrialized OECD countries dominated insured losses (78.0%), reflecting their substantially higher insurance density and stricter safety regulations. Aggregated indicators and frequency-consequence (F-N) curves showed that energy-related accident risks in non-OECD countries are distinctly higher than in OECD countries. Hydropower in non-OECD countries and upstream stages within fossil energy chains are most accident-prone. Expected fatality rates are lowest for Western hydropower and nuclear power plants; however, the maximum credible consequences can be very large. Total economic damages due to severe accidents are substantial, but small when compared with natural disasters. Similarly, external costs associated with severe accidents are generally much smaller than monetized damages caused by air pollution.

  13. Incorporating probabilistic seasonal climate forecasts into river management using a risk-based framework

    Towler, Erin; Roberts, Mike; Rajagopalan, Balaji; Sojda, Richard S.

    2013-08-01

    Despite the influence of hydroclimate on river ecosystems, most efforts to date have focused on using climate information to predict streamflow for water supply. However, as water demands intensify and river systems are increasingly stressed, research is needed to explicitly integrate climate into streamflow forecasts that are relevant to river ecosystem management. To this end, we present a five step risk-based framework: (1) define risk tolerance, (2) develop a streamflow forecast model, (3) generate climate forecast ensembles, (4) estimate streamflow ensembles and associated risk, and (5) manage for climate risk. The framework is successfully demonstrated for an unregulated watershed in southwest Montana, where the combination of recent drought and water withdrawals has made it challenging to maintain flows needed for healthy fisheries. We put forth a generalized linear modeling (GLM) approach to develop a suite of tools that skillfully model decision-relevant low flow characteristics in terms of climate predictors. Probabilistic precipitation forecasts are used in conjunction with the GLMs, resulting in season-ahead prediction ensembles that provide the full risk profile. These tools are embedded in an end-to-end risk management framework that directly supports proactive fish conservation efforts. Results show that the use of forecasts can be beneficial to planning, especially in wet years, but historical precipitation forecasts are quite conservative (i.e., not very "sharp"). Synthetic forecasts show that a modest "sharpening" can strongly impact risk and improve skill. We emphasize that use in management depends on defining relevant environmental flows and risk tolerance, requiring local stakeholder involvement.

  14. Evaluation of severe accident risks, Peach Bottom, Unit 2: Main report

    In support of the Nuclear Regulatory Commission's (NRC's) assessment of the risk from severe accidents at commercial nuclear power plants in the US reported NUREG-1150, the Severe Accident Risk Reduction Program (SARRP) has completed a revised calculation of the risk to the general public from severe accidents at the Peach Bottom Atomic Power Station, Unit 2. This power plant, located in southeastern Pennsylvania, is operated by the Philadelphia Electric Company. The emphasis in this risk analysis was not on determining a ''so-called'' point estimate of risk. Rather, it was to determine the distribution of risk, and to discover the uncertainties that account for the breadth of this distribution. Off-site risk initiated by events both internal and external to the power station were assessed. 39 refs., 174 figs., 133 tabs

  15. Some implications of an event-based definition of exposure to the risk of road accident

    Elvik, Rune

    2015-01-01

    This paper proposes a new definition of exposure to the risk of road accident as any event, limited in space and time, representing a potential for an accident to occur by bringing road users close to each other in time or space of by requiring a road user to take action to avoid leaving the...... roadway. A typology of events representing a potential for an accident is proposed. Each event can be interpreted as a trial as defined in probability theory. Risk is the proportion of events that result in an accident. Defining exposure as events demanding the attention of road users implies that road...... users will learn from repeated exposure to these events, which in turn implies that there will normally be a negative relationship between exposure and risk. Four hypotheses regarding the relationship between exposure and risk are proposed. Preliminary tests support these hypotheses. Advantages and...

  16. A case-control study estimating accident risk for alcohol, medicines and illegal drugs.

    Kim Paula Colette Kuypers

    Full Text Available BACKGROUND: The aim of the present study was to assess the risk of having a traffic accident after using alcohol, single drugs, or a combination, and to determine the concentrations at which this risk is significantly increased. METHODS: A population-based case-control study was carried out, collecting whole blood samples of both cases and controls, in which a number of drugs were detected. The risk of having an accident when under the influence of drugs was estimated using logistic regression adjusting for gender, age and time period of accident (cases/sampling (controls. The main outcome measures were odds ratio (OR for accident risk associated with single and multiple drug use. In total, 337 cases (negative: 176; positive: 161 and 2726 controls (negative: 2425; positive: 301 were included in the study. RESULTS: Main findings were that 1 alcohol in general (all the concentrations together caused an elevated crash risk; 2 cannabis in general also caused an increase in accident risk; at a cut-off of 2 ng/mL THC the risk of having an accident was four times the risk associated with the lowest THC concentrations; 3 when ranking the adjusted OR from lowest to highest risk, alcohol alone or in combination with other drugs was related to a very elevated crash risk, with the highest risk for stimulants combined with sedatives. CONCLUSION: The study demonstrated a concentration-dependent crash risk for THC positive drivers. Alcohol and alcohol-drug combinations are by far the most prevalent substances in drivers and subsequently pose the largest risk in traffic, both in terms of risk and scope.

  17. Risk and resilience factors of persons exposed to accidents

    HERTA, DANA – CRISTINA; BRÎNDAS, PAULA; TRIFU, RALUCA; COZMAN, DOINA

    2016-01-01

    Background and aims Resilience encompasses factors promoting effective functioning in the context of adversity. Data regarding resilience in the wake of accidental trauma is still scarce. The aim of the current study is to comparatively assess adaptive, life – promoting factors in persons exposed to motor vehicle accidents (MVA) vs. persons exposed to other types of accidents, and to identify psychological factors of resilience and vulnerability in this context of trauma exposure. Methods We ...

  18. Risk assessment of a pressurized water reactor for Class 3-8 accidents

    Hall, R.E.

    1979-10-01

    An assessment has been made of the impact on societal risk of Class 3-8 accident sequences as defined by Appendix D to 10 CFR50. The present analysis concentrates on a pressurized water reactor and utilizes realistic assumptions when practical. Conclusions are drawn as to the relative importance of the analyzed accidents and their impact on the development of a complete societal risk curve. 65 refs., 61 figs., 37 tabs.

  19. Data base of accident and agricultural statistics for transportation risk assessment

    Saricks, C.L.; Williams, R.G.; Hopf, M.R.

    1989-11-01

    A state-level data base of accident and agricultural statistics has been developed to support risk assessment for transportation of spent nuclear fuels and high-level radioactive wastes. This data base will enhance the modeling capabilities for more route-specific analyses of potential risks associated with transportation of these wastes to a disposal site. The data base and methodology used to develop state-specific accident and agricultural data bases are described, and summaries of accident and agricultural statistics are provided. 27 refs., 9 tabs.

  20. Data base of accident and agricultural statistics for transportation risk assessment

    A state-level data base of accident and agricultural statistics has been developed to support risk assessment for transportation of spent nuclear fuels and high-level radioactive wastes. This data base will enhance the modeling capabilities for more route-specific analyses of potential risks associated with transportation of these wastes to a disposal site. The data base and methodology used to develop state-specific accident and agricultural data bases are described, and summaries of accident and agricultural statistics are provided. 27 refs., 9 tabs

  1. Systematic approach for assessment of accident risks in chemical and nuclear processing

    The industrial accidents which occurred in the last years, particularly in the 80's, contributed a significant way to draw the attention of the government, industry and the society as a whole to the mechanisms for preventing events that could affect people's safety and the environment quality. Techniques and methods extensively used the nuclear, aeronautic and war industries so far were adapted to performing analysis and evaluation of the risks associated to other industrial activities, especially in the petroleum, chemistry and petrochemical areas. The risk analysis in industrial facilities is carried out through the evaluation of the probability or frequency of the accidents and their consequences. However, no systematized methodology that could supply the tools for identifying possible accidents likely to take place in an installation is available in the literature. Neither existing are methodologies for the identification of the models for evaluation of the accidents' consequences nor for the selection of the available techniques for qualitative or quantitative analysis of the possibility of occurrence of the accident being focused. The objective of this work is to develop and implement a methodology for identification of the risks of accidents in chemical and nuclear processing facilities as well as for the evaluation of their consequences on persons. For the development of the methodology, the main possible accidents that could occur in such installations were identified and the qualitative and quantitative techniques available for the identification of the risks and for the evaluation of the consequences of each identified accidents were selected. The use of the methodology was illustrated by applying it in two case examples adapted from the literature, involving accidents with inflammable, explosives, and radioactive materials. The computer code MRA - Methodology for Risk Assessment was developed using DELPHI, version 5.0, with the purpose of systematizing

  2. Synopsis of global scenario and forecasting surveys scenarios in risk habitat megacity (RHM)

    Woll, Tobias

    2008-01-01

    The main objective of the paper is to provide a synopsis of global scenario and forecasting surveys. First, the paper will give an overview on existing global scenario and forecasting surveys and their specific scenario philosophies and storylines. Second, the major driving forces that shape and characterise the different scenarios will be identified. The scenario analysis has been provided for the research project Risk Habitat Megacity (HRM) that aims at developing strategies for sustain...

  3. Quantile Forecasting for Credit Risk Management using Possibly Mis-specified Hidden Markov Models

    Banachewicz, K.P.; Lucas, A

    2007-01-01

    Recent models for credit risk management make use of Hidden Markov Models (HMMs). The HMMs are used to forecast quantiles of corporate default rates. Little research has been done on the quality of such forecasts if the underlying HMM is potentially mis-specified. In this paper, we focus on mis-specification in the dynamics and the dimension of the HMM. We consider both discrete and continuous state HMMs. The differences are substantial. Underestimating the number of discrete states has an ec...

  4. Urban flood early warning systems: approaches to hydrometeorological forecasting and communicating risk

    Cranston, Michael; Speight, Linda; Maxey, Richard; Tavendale, Amy; Buchanan, Peter

    2015-04-01

    One of the main challenges for the flood forecasting community remains the provision of reliable early warnings of surface (or pluvial) flooding. The Scottish Flood Forecasting Service has been developing approaches for forecasting the risk of surface water flooding including capitalising on the latest developments in quantitative precipitation forecasting from the Met Office. A probabilistic Heavy Rainfall Alert decision support tool helps operational forecasters assess the likelihood of surface water flooding against regional rainfall depth-duration estimates from MOGREPS-UK linked to historical short-duration flooding in Scotland. The surface water flood risk is communicated through the daily Flood Guidance Statement to emergency responders. A more recent development is an innovative risk-based hydrometeorological approach that links 24-hour ensemble rainfall forecasts through a hydrological model (Grid-to-Grid) to a library of impact assessments (Speight et al., 2015). The early warning tool - FEWS Glasgow - presents the risk of flooding to people, property and transport across a 1km grid over the city of Glasgow with a lead time of 24 hours. Communication of the risk was presented in a bespoke surface water flood forecast product designed based on emergency responder requirements and trialled during the 2014 Commonwealth Games in Glasgow. The development of new approaches to surface water flood forecasting are leading to improved methods of communicating the risk and better performance in early warning with a reduction in false alarm rates with summer flood guidance in 2014 (67%) compared to 2013 (81%) - although verification of instances of surface water flooding remains difficult. However the introduction of more demanding hydrometeorological capabilities with associated greater levels of uncertainty does lead to an increased demand on operational flood forecasting skills and resources. Speight, L., Cole, S.J., Moore, R.J., Pierce, C., Wright, B., Golding, B

  5. Analysis of nuclear accidents and associated problems relevant to public perception of risk

    The analytical study of nuclear accidents, even if they are limited in number, forms a significant part of the vast discipline of industrial plant risk analysis. The retrospective analysis of the causes and various elements which contributed to the evolution of real accidents, as well as, the evaluation of the consequences and lessons learned, constitute a bank of information which, when suitably elaborated through a process of rational synthesis, can strongly influence the preparation of safety normatives, plant design specifications, environmental impacts assessments, and the perception of risk. This latter aspect is gaining importance today as growing public awareness and sensitivity towards the development and use of new technologies now bear heavily on new plant decision making. This paper examines how the public perception of risk regarding nuclear energy has been influenced by the events surrounding the Chernobyl and Three Mile Island accidents and the way in which information dissemination concerning these accidents was handled by mass media

  6. Risk assessment of accident associated with aircraft transportation

    The new 1996 IAEA regulation for the transportation of radioactive material states a 90 m/s drop test on unyielding surface for packages transported by air. This figure originates from a statistical analysis on civil aircraft accident during the period 1975 to 1985. A review on the 1983-1989 period demonstrates comparable velocity with a less stringent definition of accident. The statistical analyses are combined with the hardness of the fly-over ground and the impact angle to generate probabilities curves giving the occurrence of a mechanical stress overtaking the drop test velocity. The following steps were carried out: statistical analysis of the accident database from the ICOA (International Civil Aviation Organisation) to appreciate the accident characteristics with special attention to the impact velocity and angle. Modelling of the impact speed in each phase of flight (Take off, Climbing, Cruise, Approach and Landing), in order to evaluate the probability of occurrence of a given crash impact for different flight configurations. Qualitative analysis of recorder failures available in France. As the statistical analysis is based on the available impact speed, a bias can be introduced if major crashes are neglected. In this respect, the qualitative analysis should give some elements to characterize the relationship between the non-availability of the information recorded on the black box and the severity of the accident. (author)

  7. Fukushima Dai-Ichi accident: Lessons Learned and Future Actions from the Risk Perspectives

    The Fukushima Dai-Ichi accident in 2011 has affected various aspects of the nuclear society worldwide. The accident revealed some problems in the conventional approaches used to ensure the safety of nuclear installations. To prevent such disastrous accidents in the future, we have to learn from them and improve the conventional approaches in a more systematic manner. In this paper, we will cover three issues. The first is to identify the key issues that affected the progress of the Fukushima Dai-Ichi accident greatly. We examine the accident from a defense-in-depth point of view to identify such issues. The second is to develop a more systematic approach to enhance the safety of nuclear installations. We reexamine nuclear safety from a risk point of view. We use the concepts of residual and unknown risks in classifying the risk space. All possible accident scenarios types are reviewed to clarify the characteristics of the identified issues. An approach is proposed to improve our conventional approaches used to ensure nuclear safety including the design of safety features and the safety assessments from a risk point of view. Finally, we address some issues to be improved in the conventional risk assessment and management framework and/or practices to enhance nuclear safety

  8. Fukushima Dai-Ichi accident: Lessons Learned and Future Actions from the Risk Perspectives

    Yang, Jooneon [Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of)

    2014-02-15

    The Fukushima Dai-Ichi accident in 2011 has affected various aspects of the nuclear society worldwide. The accident revealed some problems in the conventional approaches used to ensure the safety of nuclear installations. To prevent such disastrous accidents in the future, we have to learn from them and improve the conventional approaches in a more systematic manner. In this paper, we will cover three issues. The first is to identify the key issues that affected the progress of the Fukushima Dai-Ichi accident greatly. We examine the accident from a defense-in-depth point of view to identify such issues. The second is to develop a more systematic approach to enhance the safety of nuclear installations. We reexamine nuclear safety from a risk point of view. We use the concepts of residual and unknown risks in classifying the risk space. All possible accident scenarios types are reviewed to clarify the characteristics of the identified issues. An approach is proposed to improve our conventional approaches used to ensure nuclear safety including the design of safety features and the safety assessments from a risk point of view. Finally, we address some issues to be improved in the conventional risk assessment and management framework and/or practices to enhance nuclear safety.

  9. Accident Risks In The Energy Sector: Comparative Evaluations

    Hirschberg, S.; Burgherr, P

    2005-03-01

    Severe accidents are considered one of the most controversial issues in current comparative studies of the environmental and health impact of energy systems. The present work focuses on severe accident scenarios relating to fossil energy chains (coal, oil and gas), nuclear power and hydro-power. The scope of the study is not limited to the power production (conversion) step of these energy chains, but, wherever applicable, also includes full energy chains. With the exception of the nuclear chain, the focus of the present work is on the evaluation of the historical experience of accidents. The basis for this evaluation is the comprehensive database ENSAD (Energy-Related Severe Accident Database), which has been established at PSI. For hypothetical nuclear accidents, a probabilistic technique has also been employed. The broader picture, derived from examination of full energy chains, leads, on a world-wide basis, to the conclusion that immediate fatality rates are much higher for the fossil chains than expected if only power plants are considered. Generally, immediate fatality rates are significantly higher for non-OECD countries than for OECD countries, and, in the case of hydro and nuclear, the difference is rather dramatic. In addition to aggregated values, frequency-consequence curves are also provided, since they not only reflect implicitly a ranking based on aggregated values, but also include such information as the observed, or predicted, chain-specific maximum extent of damages. Finally, damage and external costs of severe accidents for the different energy chains have been estimated, based on the unit cost values for the various consequence types. (author)

  10. Accident Risks In The Energy Sector: Comparative Evaluations

    Severe accidents are considered one of the most controversial issues in current comparative studies of the environmental and health impact of energy systems. The present work focuses on severe accident scenarios relating to fossil energy chains (coal, oil and gas), nuclear power and hydro-power. The scope of the study is not limited to the power production (conversion) step of these energy chains, but, wherever applicable, also includes full energy chains. With the exception of the nuclear chain, the focus of the present work is on the evaluation of the historical experience of accidents. The basis for this evaluation is the comprehensive database ENSAD (Energy-Related Severe Accident Database), which has been established at PSI. For hypothetical nuclear accidents, a probabilistic technique has also been employed. The broader picture, derived from examination of full energy chains, leads, on a world-wide basis, to the conclusion that immediate fatality rates are much higher for the fossil chains than expected if only power plants are considered. Generally, immediate fatality rates are significantly higher for non-OECD countries than for OECD countries, and, in the case of hydro and nuclear, the difference is rather dramatic. In addition to aggregated values, frequency-consequence curves are also provided, since they not only reflect implicitly a ranking based on aggregated values, but also include such information as the observed, or predicted, chain-specific maximum extent of damages. Finally, damage and external costs of severe accidents for the different energy chains have been estimated, based on the unit cost values for the various consequence types. (author)

  11. Major chemical accidents in industrializing countries: the socio-political amplification of risk.

    de Souza Porto, M F; de Freitas, C M

    1996-02-01

    Accidents in the chemical industry, such as those that took place in Seveso (1976) and Bhopal (1984), may kill or injure thousands of people, cause serious health hazards and irreversible environmental damage. The aim of this paper is to examine the ever-increasing risk of similar accidents becoming a frequent ocurrence in the so-called industrializing countries. Using figures from some of the worst chemical accidents in the last decades, data on the Bhopal disaster, and Brazil's social and institutional characteristics, we put forward the hypothesis that present social, political and economic structures in industrializing countries make these countries much more vulnerable to such accidents and create the type of setting where--if and when these accidents occur--they will have even more catastrophic consequences. The authors argue that only the transformation of local structures, and stronger technical cooperation between international organizations, industrialized and industrializing countries could reduce this vulnerability. PMID:8868221

  12. The risk of a major nuclear accident: calculation and perception of probabilities

    The accident at Fukushima Daiichi, Japan, occurred on 11 March 2011. This nuclear disaster, the third on such a scale, left a lasting mark in the minds of hundreds of millions of people. Much as Three Mile Island or Chernobyl, yet another place will be permanently associated with a nuclear power plant which went out of control. Fukushima Daiichi revived the issue of the hazards of civil nuclear power, stirring up all the associated passion and emotion. The whole of this paper is devoted to the risk of a major nuclear accident. By this we mean a failure initiating core meltdown, a situation in which the fuel rods melt and mix with the metal in their cladding. Such accidents are classified as at least level 5 on the International Nuclear Event Scale. The Three Mile Island accident, which occurred in 1979 in the United States, reached this level of severity. The explosion of reactor 4 at the Chernobyl plant in Ukraine in 1986 and the recent accident in Japan were classified as class 7, the highest grade on this logarithmic scale. The main difference between the top two levels and level 5 relates to a significant or major release of radioactive material to the environment. In the event of a level-5 accident, damage is restricted to the inside of the plant, whereas, in the case of level-7 accidents, huge areas of land, above or below the surface, and/or sea may be contaminated. Before the meltdown of reactors 1, 2 and 3 at Fukushima Daiichi, eight major accidents affecting nuclear power plants had occurred worldwide. This is a high figure compared with the one calculated by the experts. Observations in the field do not appear to fit the results of the probabilistic models of nuclear accidents produced since the 1970's. Oddly enough the number of major accidents is closer to the risk as perceived by the general public. In general we tend to overestimate any risk relating to rare, fearsome accidents. What are we to make of this divergence? How are we to reconcile

  13. Statistical evaluation of population data for calculation of radioactive material transport accident risks

    Calculation of accident dose-risk estimates with the RADTRAN code requires input data describing the population likely to be affected by the plume of radioactive material (RAM) released in a hypothetical transportation accident. In the existing model, population densities within 1/2 mile (0.8 km) of the route centerline are tabulated in three ranges (Rural, Suburban, and Urban). These population densities may be of questionable validity since the plume in the RADTRAN analysis is assumed to extend out to 120 km from the hypothetical accident site. The authors present a GIS-based population model which accounts for the actual distribution of population under a potential plume, and compare accident-risk estimates based on the resulting population densities with those based on the existing model. Results for individual points along a route differ greatly, but the cumulative accident risks for a sample route of a few hundred kilometers are found to be comparable, if not identical. The authors conclude, therefore, that for estimation of aggregate accident risks over typical routes of several hundred kilometers, the existing, simpler RADTRAN model is sufficiently detailed and accurate

  14. Does the influence of risk factors on accident occurrence change over time?

    Elvik, Rune

    2016-06-01

    A large number of studies have been made to assess the relationship between risk factors and accident occurrence. A risk factor is any factor that makes an accident more likely to occur. Very many risk factors have been identified, for example, being under the influence of alcohol while driving, driving on slippery roads, entering complex junctions, or driving in hours of darkness. Few studies have been made to determine whether the associations between risk factors and accident occurrence remain stable over time. This paper presents examples of studies that have replicated estimates of risk. All these studies were made within a given country, using the same method, to ensure that estimates of risk are comparable. The risk factors included in the paper are: daylight, horizontal curves, junctions, road surface conditions, precipitation, drinking and driving and driver age. For all these risk factors, their association with accidents has changed over time, mostly becoming weaker. A protective factor, snow depth, is also included. Its protective effect has become smaller over time. Possible reasons for the weakening influence of risk factors are discussed. PMID:26974026

  15. Effects of driver nationality and road characteristics on accident fault risk.

    Yannis, George; Golias, John; Papadimitriou, Eleonora

    2007-09-01

    This paper investigates the combined effect of driver nationality and several road characteristics (area type, at or not at junction, lighting conditions) on accident fault risk. Data from the national accident database of Greece are used to calculate accident relative fault risk rates under induced exposure assumptions. A log-linear analysis is then used to examine first- and higher-order effects within three or more variable groups. The examination of the second-order interaction among the accident fault risks of various driver nationalities at or not at junction was found to be significant. On the contrary, the respective combined effects of area type and lighting conditions were found to be non-significant. It was also shown that roadway features do not affect accident fault risk in a combined way. Results clearly indicate that foreign drivers in Greece are at increased risk. Moreover, foreign nationalities corresponding to permanent residents (i.e. Greeks and Albanians) appear to be at lower fault risk compared to foreign nationalities corresponding to tourists and visitors (e.g. EU Nationals). The effects of the various road characteristics do not modify these general trends. PMID:17729136

  16. Expert forecast on emerging psychosocial risks related to occupational safety and health

    Milczarek, M.; Brun, E; Houtman, I.; Goudswaard, A.; Evers, M.; Bovenkamp, M. van de; Roskams, N.; Op de Beeck, R.; Pahkin, K.; Berthet, M.; Morvan, E.; Kuhn, K.; Kaluza, K; Hupke, M.; Hauke, A.

    2007-01-01

    This report is in cooperation with TNO Work and Employment and the European Agency for Safety and Health at Work. The expert forecast on emerging psychosocial risks was carried out by means of the Delphi method. The main emerging psychosocial risks revealed were related to new forms of employment contracts and job insecurity, the OSH risks for the ageing workforce, work intensification - high workload and work pressure, high emotional demands at work - including violence and bullying, and poo...

  17. Identification of traffic accident risk-prone areas under low-light conditions

    Ivan, K.; Haidu, I.; Benedek, J.; Ciobanu, S. M.

    2015-09-01

    Besides other non-behavioural factors, low-light conditions significantly influence the frequency of traffic accidents in an urban environment. This paper intends to identify the impact of low-light conditions on traffic accidents in the city of Cluj-Napoca, Romania. The dependence degree between light and the number of traffic accidents was analysed using the Pearson correlation, and the relation between the spatial distribution of traffic accidents and the light conditions was determined by the frequency ratio model. The vulnerable areas within the city were identified based on the calculation of the injury rate for the 0.5 km2 areas uniformly distributed within the study area. The results show a strong linear correlation between the low-light conditions and the number of traffic accidents in terms of three seasonal variations and a high probability of traffic accident occurrence under the above-mentioned conditions at the city entrances/exits, which represent vulnerable areas within the study area. Knowing the linear dependence and the spatial relation between the low light and the number of traffic accidents, as well as the consequences induced by their occurrence, enabled us to identify the areas of high traffic accident risk in Cluj-Napoca.

  18. Analysis of Surface Water Pollution Accidents in China: Characteristics and Lessons for Risk Management

    Yao, Hong; Zhang, Tongzhu; Liu, Bo; Lu, Feng; Fang, Shurong; You, Zhen

    2016-04-01

    Understanding historical accidents is important for accident prevention and risk mitigation; however, there are no public databases of pollution accidents in China, and no detailed information regarding such incidents is readily available. Thus, 653 representative cases of surface water pollution accidents in China were identified and described as a function of time, location, materials involved, origin, and causes. The severity and other features of the accidents, frequency and quantities of chemicals involved, frequency and number of people poisoned, frequency and number of people affected, frequency and time for which pollution lasted, and frequency and length of pollution zone were effectively used to value and estimate the accumulated probabilities. The probabilities of occurrences of various types based on origin and causes were also summarized based on these observations. The following conclusions can be drawn from these analyses: (1) There was a high proportion of accidents involving multi-district boundary regions and drinking water crises, indicating that more attention should be paid to environmental risk prevention and the mitigation of such incidents. (2) A high proportion of accidents originated from small-sized chemical plants, indicating that these types of enterprises should be considered during policy making. (3) The most common cause (49.8 % of the total) was intentional acts (illegal discharge); accordingly, efforts to increase environmental consciousness in China should be enhanced.

  19. Risk of low back pain in people admitted to hospital for traffic accidents and falls.

    Walsh, K; Cruddas, M.; Coggon, D.

    1992-01-01

    STUDY OBJECTIVE--The aim was to assess the risk of back symptoms in people admitted to hospital because of traffic accidents and falls. DESIGN--The study was a cross sectional survey with information collected by postal questionnaire. Main outcome measures were associations between hospital admission for a traffic accident or fall and reported first onset of back symptoms at the same age and at later ages. SETTING--General practices in seven towns and one rural district. SUBJECTS--1172 men an...

  20. Fukushima Nuclear Power Plant Accident and Comprehensive Health Risk Management—Global Radiocontamination and Information Disaster

    YAMASHITA, Shunichi

    2014-01-01

    The Great East Japan Earthquake on March 11, 2011, besides further studying the appropriateness of the initial response and post-countermeasures against the severe Fukushima nuclear accident, has now increased the importance of the epidemiological study in comprehensive health risk management and radiation protection; lessons learnt from the Chernobyl accident should be also implemented. Therefore, since May 2011, Fukushima Prefecture has started the “Fukushima Health Management Survey Projec...

  1. The impact of major transformations of a production process on age-related accident risks

    Blank, V L; Laflamme, L; Diderichsen, Finn

    1996-01-01

    This paper describes a study of whether accident risks were equally distributed across age categories among a population of mining workers whose work activities were suspected to be age-impaired. The impairment factors in focus are the transformation of production technology during the 80s...... changes designed to increase productivity and reduce staffing levels more rapidly affect efficiency and productivity than they do accident occurrence, and that they penalize young workers in the first instance....

  2. Accident risks in nuclear facilities (a bibliography with abstracts). Period covered: 1964--August 1975

    The bibliography presents risk analysis and hazards evaluation of the design, construction and operation of nuclear facilities including the risk and hazards of transporting radioactive materials to and from these facilities. Radiological calculations for environmental effects of nuclear accidents are included. (Contains 131 abstracts)

  3. Web-based hydrological modeling system for flood forecasting and risk mapping

    Wang, Lei; Cheng, Qiuming

    2008-10-01

    Mechanism of flood forecasting is a complex system, which involves precipitation, drainage characterizes, land use/cover types, ground water and runoff discharge. The application of flood forecasting model require the efficient management of large spatial and temporal datasets, which involves data acquisition, storage, pre-processing and manipulation, analysis and display of model results. The extensive datasets usually involve multiple organizations, but no single organization can collect and maintain all the multidisciplinary data. The possible usage of the available datasets remains limited primarily because of the difficulty associated with combining data from diverse and distributed data sources. Difficulty in linking data, analysis tools and model is one of the barriers to be overcome in developing real-time flood forecasting and risk prediction system. The current revolution in technology and online availability of spatial data, particularly, with the construction of Canadian Geospatial Data Infrastructure (CGDI), a lot of spatial data and information can be accessed in real-time from distributed sources over the Internet to facilitate Canadians' need for information sharing in support of decision-making. This has resulted in research studies demonstrating the suitability of the web as a medium for implementation of flood forecasting and flood risk prediction. Web-based hydrological modeling system can provide the framework within which spatially distributed real-time data accessed remotely to prepare model input files, model calculation and evaluate model results for flood forecasting and flood risk prediction. This paper will develop a prototype web-base hydrological modeling system for on-line flood forecasting and risk mapping in the Oak Ridges Moraine (ORM) area, southern Ontario, Canada, integrating information retrieval, analysis and model analysis for near real time river runoff prediction, flood frequency prediction, flood risk and flood inundation

  4. Using ensemble weather forecast in a risk based real time optimization of urban drainage systems

    Courdent, Vianney Augustin Thomas; Vezzaro, Luca; Mikkelsen, Peter Steen;

    2015-01-01

    . However, such temporal horizon (1-2 hours) is relatively short when used for the operation of large storage facilities, which may require a few days to be emptied. This limits the performance of the optimization and control in reducing combined sewer overflow and in preparing for possible flooding. Based......Global Real Time Control (RTC) of urban drainage system is increasingly seen as cost-effective solution in order to respond to increasing performance demand (e.g. reduction of Combined Sewer Overflow, protection of sensitive areas as bathing water etc.). The Dynamic Overflow Risk Assessment (DORA...... forecasted runoff volumes, the objectives for the control strategies might vary from optimization of water volumes to reduction of CSO risk. Thus different modes are implemented in DORA-LF (Long Forecast) in order to adjust the control strategies to the situations. In order to handle the long forecast, the...

  5. Multiple hypothesis testing of market risk forecasting models

    esposito, francesco paolo; cummins, mark

    2015-01-01

    Extending previous risk model backtesting literature, we construct multiple hypothesis testing (MHT) with the stationary bootstrap. We conduct multiple tests which control for the generalized confidence level and employ the bootstrap MHT to design multiple comparison testing. We consider absolute and relative predictive ability to test a range of competing risk models, focusing on Value-at-Risk (VaR) and Expected Shortfall (ExS). In devising the test for the absolute predictive ability, we ta...

  6. Risks of insufficient information communication during the post-accident period of the Chernobyl accident

    The modified psychological climate and increased social-psychological pressure in the population, affected as a result of the Chernobyl accident, emerged partially because of insufficient information provided to the population with respect to the radiation and ecological conditions. Such situation resulted in development of chronic psychological stress in the majority of the population residing on the affected areas. The post-accidental stress, which appeared in many people, is characterized by its extraordinary stability. Up to 74% of the affected population were subjected to stress. In 1986 the depressing condition of anxiety was observed in 50% of those examined. By 1998 this number increased up to 76%. Aggravation of health condition still remains in the center of anxiety reasons for the majority of those examined, when in the areas contaminated greater the number of those anxious is much higher than in others. Besides, the urban population is more concerned in unsatisfactory solution of the problem of liquidation of the Chernobyl accident consequences, than village inhabitants (88,5 and 79,70/o accordingly). Noteworthy, that 43% of the urban population and only 25,20/6 of the village settlers is concerned in small efficiency of rehabilitation activities on the radioactive contaminated territories. Respondents-women 86,1%) are more anxious than men 84,2%). Besides, almost three quarters of the respondents 74,5%) for last three years became more anxious for their future and future of their children, which leads to greater worries. At the same time it is necessary to take into account, that 7 of the respondents expressed apathy and indifference to everything, and at 75% have the feeling of hopelessness. Another negative tendency exposed in the population, affected by the Chernobyl accident is the reduction of trust to the authorities and governmental bodies, reduction of satisfaction by the activity of local authorities. Only 60,6% of the interrogated

  7. [Driving simulators in risk assessment of traffic accident among drivers with obstructive sleep apnea].

    Siedlecka, Jadwiga; Bortkiewicz, Alicja

    2012-01-01

    Sleep disorders in the form of obstructive sleep apnea (OSA) are still underdiagnosed and insufficiently treated in drivers. This is a very important problem, because chronic sleepiness during the day and episodes of sleep during driving a road vehicle are now regarded as one of the main causes of traffic accidents, including fatal ones, caused by professional drivers. For many years driver fatigue has been considered a major risk factor of traffic accidents, while obstructive sleep apnea has remained almost completely disregarded. In the late 1980s and early 1990s epidemiological data began to indicate sleepiness and sleep deficit as the cause of up to 20% of road accidents. Later studies conducted in many countries in different groups of drivers have confirmed that people with breathing problems during sleep are much more likely to cause accidents than healthy ones. These accidents often result from sleep disorders experienced by drivers while driving, during both long monotonous journeys and in heavy urban traffic. The application of treatment involving continuous positive airway pressure (CPAP) reduces the rate of accidents among drivers. In the recent years, the studies of this problem has been expanded by the use of drive simulators that quite accurately simulate real driving conditions. This approach allows to assess the driver's reactions and behaviors in different situations on the road, including the most dangerous ones. By comparing the results from the simulator with those in real conditions it will be possible to see to what extent the risk of accident in simulated conditions correlates with the risk of accident in real life settings. PMID:22779329

  8. Hourly runoff forecasting for flood risk management: Application of various computational intelligence models

    Badrzadeh, Honey; Sarukkalige, Ranjan; Jayawardena, A. W.

    2015-10-01

    Reliable river flow forecasts play a key role in flood risk mitigation. Among different approaches of river flow forecasting, data driven approaches have become increasingly popular in recent years due to their minimum information requirements and ability to simulate nonlinear and non-stationary characteristics of hydrological processes. In this study, attempts are made to apply four different types of data driven approaches, namely traditional artificial neural networks (ANN), adaptive neuro-fuzzy inference systems (ANFIS), wavelet neural networks (WNN), and, hybrid ANFIS with multi resolution analysis using wavelets (WNF). Developed models applied for real time flood forecasting at Casino station on Richmond River, Australia which is highly prone to flooding. Hourly rainfall and runoff data were used to drive the models which have been used for forecasting with 1, 6, 12, 24, 36 and 48 h lead-time. The performance of models further improved by adding an upstream river flow data (Wiangaree station), as another effective input. All models perform satisfactorily up to 12 h lead-time. However, the hybrid wavelet-based models significantly outperforming the ANFIS and ANN models in the longer lead-time forecasting. The results confirm the robustness of the proposed structure of the hybrid models for real time runoff forecasting in the study area.

  9. Comparison of accident risks in different energy systems: Comments from Russian specialists

    Many articles on accident risk analysis of different energy systems in comparison with nuclear power share certain stereotypical features. For example: When assessing the risks associated with the operation of such facilities, they ignore the effects of the upgrading of RBMK reactors which was carried out after the Chernobyl accident. In their integrated assessment of the radiological consequences of the Chernobyl accident they use numerous studies which frequently contain unreliable source data and unfounded predictions, and they ignore many socio-political factors which considerably increased the damage caused by the accident. Unfortunately, the study in question, despite its topicality and originality of approach, is also not without such shortcomings. After the Chernobyl accident, reconstruction and safety enhancement measures were implemented at nuclear power plants with RBMK reactors which were without precedent in world practice and have continued to this day. According to probabilistic safety assessments (PSA) carried out with the assistance of international experts, the probability of serious accidents at RBMKs has decreased by a factor of two or more thanks to the above mentioned measures. The mean weighted safety index for all operational RBMK reactors is 10-4 l/year and is decreasing thanks to the ongoing and planned reconstruction of all units. All operational nuclear power plants with RBMK reactors are thus on a par with the successfully operating Soviet WWERs and western boiling water reactors (BWRs) and pressurized water reactors (PWRs), and satisfy the IAEA recommendations regarding the risk level of older generation nuclear power plants. The authors of the IAEA Bulletin article give estimates of the remote radiological consequences of the Chernobyl accident which range from an estimated 10,000 to 30,000 fatal cases of radiation-induced cancer, and the literature on the subject contains even more extreme estimates. However, our 14 years' experience

  10. Reflection of risk communication in 9 months after Fukushima nuclear accident

    At the third symposium corresponding to the Fukushima accident held by the Japan Health Physics Society (JHPS) in December 2011, Youth Researcher's Association of JHPS presented 'risk communication in 9 months after Fukushima accident'. Focusing on the presentation, this article summarized social response of radiation risk in 9 months and activities of 'Q and A site that provides public with questions and answers related to radiation and daily life' by Society members as radiation protection experts after the Fukushima accident. The author raised some two problems related with (1) what and how should be 'judgments of best experts' reflecting the BSE case as 'trans-science' problem and (2) what's 'recommendation/standards document to be referred to' harmonizing with trend of international standards. Risk communication network should be not only between 'experts' and 'public' but also including international organizations. (T. Tanaka)

  11. Relevance of Fukushima Nuclear Accident to India: Nuclear Radiation Risk and Interventions to Mitigate Adverse Fallout

    Yadav Kapil, Varshney Neha, Aslesh OP, Karmakar MG, Pandav Chandrakant S

    2012-09-01

    Full Text Available The environmental radiation release from Fukushima nuclear power following tsunami in Japan has once again highlighted the omnipotent risk of radiation injury in the today’s world. India is at a real risk from radiation fallout both due to nuclear power plant accidents and nuclear warfare threat. The risk from nuclear radiation accident in India is further increased by the region being endemic for iodine deficiency as adverse effects following nuclear radiation fallout like thyroid cancer is significantly higher in iodine deficient populations .There is need to institute disaster preparedness measures to mitigate the damage in case of a nuclear accident. Interventions to control adverse fallout of nuclear radiation include evacuation, sheltering and food controls as well as iodine prophylaxis

  12. Estimating the continuous risk of accidents occuring in the mining industry in South Africa

    Van den Honert, Andrew Francis

    2015-11-01

    Full Text Available This study contributes to the on-going efforts to improve occupational safety in the mining industry by creating a model capable of predicting the continuous risk of occupational accidents occurring. Contributing factors were identified and their sensitivity quantified. The approach included using an Artificial Neural Network (ANN to identify patterns between the input attributes and to predict the continuous risk of accidents occurring. The predictive Artificial Neural Network (ANN model used in this research was created, trained, and validated in the form of a case study with data from a platinum mine near Rustenburg in South Africa. This resulted in meaningful correlation between the predicted continuous risk and actual accidents.

  13. Trends in state-level freight accident rates: An enhancement of risk factor development for RADTRAN

    Under the Nuclear Waste Policy Act, the Department of Energy's Office of Civilian Radioactive Waste Management (OCRWM) is concerned with understanding and managing risk as it applies to the shipment of spent commercial nuclear reactor fuel. Understanding risk in relation to mode and geography may provide opportunities to minimize radiological and non-radiological risks of transportation. To enhance such an understanding, a set of state-or waterway-specific accident, fatality, and injury rates (expressed as rates per shipment kilometer) by transportation mode and highway administrative class was developed, using publicly-available data bases. Adjustments made to accommodate miscoded or incomplete information in accident data are described, as well as the procedures for estimating state-level flow data. Results indicate that the shipping conditions under which spent fuel is likely to be transported should be less subject to accidents than the ''average'' shipment within mode. 10 refs., 3 tabs

  14. Risk of traffic accidents in patients with sleep-disordered breathing: reduction with nasal CPAP.

    Cassel, W; Ploch, T; Becker, C; Dugnus, D; Peter, J H; von Wichert, P

    1996-12-01

    Sleepiness whilst driving constitutes a road safety risk. Sleep-related breathing disorders are the most frequent medical cause of daytime sleepiness, and untreated patients with this condition have been shown to be at a higher risk of having accidents while driving. This study addressed the question of the extent to which treatment of sleep-disordered breathing by nasal continuous positive airway pressure (nCPAP) is related to changes in patient's accident risk. Seventy eight male patients requiring treatment of sleep-related breathing disorders with nCPAP were enrolled in the study. The protocol included a questionnaire dealing with alertness-related problems while driving, an 80 min vigilance test, and the Multiple Sleep Latency Test. These baseline evaluations were repeated after 1 year of treatment with nCPAP. Fifty nine patients completed the study. The accident rate was significantly decreased from 0.8 per 100,000 km (untreated) to 0.15 per 100,000 km with nCPAP treatment. Variables that were considered to be likely to increase accident risk (sleeping spells, fatigue, vigilance test reaction time, daytime sleep latency) also improved with treatment. We conclude that treatment of sleep-disordered breathing by nasal continuous positive airway pressure is related to reduction in patient motor vehicle accident rates, probably due to the reversal of excessive daytime sleepiness. PMID:8980976

  15. Stochastic rainfall-runoff forecasting: parameter estimation, multi-step prediction, and evaluation of overflow risk

    Löwe, Roland; Mikkelsen, Peter Steen; Madsen, Henrik

    2014-01-01

    Probabilistic runoff forecasts generated by stochastic greybox models can be notably useful for the improvement of the decision-making process in real-time control setups for urban drainage systems because the prediction risk relationships in these systems are often highly nonlinear. To date...

  16. Iodine nutrition and risk of thyroid irradiation from nuclear accidents

    The objectives of this paper are to discuss the following aspects of physiopathology of iodine nutrition related to thyroid irradiation by nuclear accidents: (1) The cycle of iodine in nature, the dietary sources of iodine and the recommended dietary allowances for iodine. (2) The anomalies of thyroid metabolism induced by iodine deficiency. The caricatural situation as seen in endemic goitre will be used as mode. (3) The specific paediatric aspects of adaptation to iodine deficiency. (4) The present status of iodine nutrition in Europe. (author)

  17. Cost analysis and financial risk profile for severe reactor accidents at Waterford-3

    To support Louisiana Power and Light Company (LP and L) in determining an appropriate level of nuclear property insurance for Waterford Steam Electric Station, Unit 3 (Waterford-3), ABZ, Incorporated, performed a series of cost analyses and developed a financial risk profile. This five-month study, conducted in 1991, identified the potential Waterford-3 severe reactor accidents and described each from a cleanup perspective, estimated the cost and schedule to cleanup from each accident, developed a probability distribution of associated financial exposure, and developed a profile of financial risk as a function of insurance coverage

  18. The possible influence of risk management, forecasting, and personnel training in physical asset management

    Schoeman, Jacobus Smit; Vlok, Pieter-Jan

    2014-01-01

    The work presented in this paper highlights the possible effects of risk management, forecasting, and personnel training in the physical asset management environment. Each section is taken separately, and an argument is formed as to why it is important and what portion of the physical asset management five-year budget each should receive. This paper considers the long-term and short-term benefits in its conclusion that risk management should receive 60 per cent of the budget, personnel traini...

  19. Multivariate Climate-Weather Forecasting System: An Integrated Approach for Mitigating Agricultural Risks in India

    Devineni, N.; Lall, U.; Perveen, S.

    2012-12-01

    While India has a long history of prediction of the All India Monsoon, work on spatially specific attributes of the monsoon, as well as monsoon break periods has only recently emerged. However, from a risk management context, prognostic information of a single variable such as total precipitation or average temperature will be of less utility especially for specific operational purposes. An integrated regional climate-weather forecast system covering precipitation, temperature and humidity etc. over the year will benefit the farmers in the context of a specific decision time table for irrigation scheduling as well as for pre-season crop choices. Hence, contrary to the existing forecasting methods that develop multi time scale information of a single variable at a time, in this paper, we introduce an integrated regional multivariate climate-weather forecasting system that directly relates to agricultural decision making and risk mitigation. These multi-scale risk attributes include mutually dependent, spatially disaggregated statistics such as total rainfall, average temperature, growing degree days, relative humidity, total number of rainfall days/dry spell length, and cumulative water deficits that inform the potential irrigation water requirements for crops etc. Given that these attributes exhibit mutual dependence across space and time, we propose to explore common ocean-atmospheric conditions from the observations and the state of the art Global Circulation Models (GCMs) that can be utilized as the predictor variables for the forecasting system. Non parametric bootstrap resampling methods and Hierarchical Bayesian methods that can easily handle the high dimensionality of such problems will be used to develop the integrated forecast system. The developed multivariate forecasts will be adapted and disseminated as decision tools for the farmers under the Columbia Water Center's pilot project in Punjab region of India.

  20. Multivariate Climate-Weather Forecasting System: An Integrated Approach for Mitigating Agricultural Risks in Punjab

    Ravindranath, A.; Devineni, N.

    2015-12-01

    While India has a long history of prediction of the All India Monsoon, work on spatially specific attributes of the monsoon, as well as monsoon break periods has only recently emerged. However, from a risk management context, prognostic information of a single variable such as total precipitation or average temperature will be of less utility especially for specific operational purposes. An integrated regional climate-weather forecast system covering precipitation, temperature and humidity etc. over the year will benefit the farmers in the context of a specific decision time table for irrigation scheduling as well as for pre-season crop choices. Hence, contrary to the existing forecasting methods that develop multi time scale information of a single variable at a time, in this paper, we introduce an integrated regional multivariate climate-weather forecasting system that directly relates to agricultural decision making and risk mitigation. These multi-scale risk attributes include mutually dependent, spatially disaggregated statistics such as total rainfall, average temperature, growing degree days, relative humidity, total number of rainfall days/dry spell length, and cumulative water deficits that inform the potential irrigation water requirements for crops. Given that these attributes exhibit mutual dependence across space and time, we propose to explore common ocean-atmospheric conditions from the observations and the state of the art Global Circulation Models (GCMs) that can be utilized as the predictor variables for the forecasting system. Hierarchical Bayesian methods are be used to develop the integrated forecast system. The developed multivariate forecasts will be adapted and disseminated as decision tools for the farmers under the extension projects in Punjab region of India.

  1. Risk-based Analysis of Construction Accidents in Iran During 2007-2011-Meta Analyze Study

    AMIRI, Mehran; ARDESHIR, Abdollah; FAZEL ZARANDI, Mohammad Hossein

    2014-01-01

    Abstract Background The present study aimed to investigate the characteristics of occupational accidents and frequency and severity of work related accidents in the construction industry among Iranian insured workers during the years 20072011. Methods The Iranian Social Security Organization (ISSO) accident database containing 21,864 cases between the years 2007-2011 was applied in this study. In the next step, Total Accident Rate (TRA), Total Severity Index (TSI), and Risk Factor (RF) were defined. The core of this work is devoted to analyzing the data from different perspectives such as age of workers, occupation and construction phase, day of the week, time of the day, seasonal analysis, regional considerations, type of accident, and body parts affected. Results Workers between 15-19 years old (TAR=13.4%) are almost six times more exposed to risk of accident than the average of all ages (TAR=2.51%). Laborers and structural workers (TAR=66.6%) and those working at heights (TAR=47.2%) experience more accidents than other groups of workers. Moreover, older workers over 65 years old (TSI=1.97%> average TSI=1.60%), work supervisors (TSI=12.20% >average TSI=9.09%), and night shift workers (TSI=1.89% >average TSI=1.47%) are more prone to severe accidents. Conclusion It is recommended that laborers, young workers, weekend and night shift workers be supervised more carefully in the workplace. Use of Personal Protective Equipment (PPE) should be compulsory in working environments, and special attention should be undertaken to people working outdoors and at heights. It is also suggested that policymakers pay more attention to the improvement of safety conditions in deprived and cold western regions. PMID:26005662

  2. Risk horoscopes: Predicting the number and type of serious occupational accidents in The Netherlands for sectors and jobs

    The risk of a serious occupational accident per hour exposure was calculated in a project to develop an occupational risk model in the Netherlands (WebORCA). To obtain risk rates, the numbers of victims of serious occupational accidents investigated by the Dutch Labour inspectorate 1998–Feb 2004 were divided by the number of hours exposure for each of 64 different types of hazards, such as contact with moving parts of machines and falls from various types of height. The exposures to the occupational accident hazards were calculated from a survey of a panel of 30,000 from the Dutch working population. Sixty risk rates were then used to predict serious accidents for activity sectors and jobs in the Netherlands where exposures to the hazards for sectors or jobs could be estimated from the survey. Such predictions have been called “horoscopes” because the idea is to provide a quick look-up of predicted accidents for a particular sector or job. Predictions compared favourably with actual data. It is concluded that predictive data can help provide information about accidents in cases where there is a lack of data, such as for smaller sub groups of the working population. - Highlights: • Dutch occupational accident risk rates and yearly exposures for 60 hazards are given. • Risks rates are based on the 1% most serious accidents 1998–Feb 2004. • Risk rates are used to predict serious accident risks in jobs and sectors. • Predictions (“risk horoscopes”) give a good match with actual accidents. • Risk horoscopes can help worker groups identify most important accident risks

  3. Risk factors for traffic accidents in Bangkok Metropolis: a case-reference study.

    Na Ayuthya, R S; Böhning, D

    1997-12-01

    It was aimed to study injures from road traffic accidents in Bangkok Metropolis and identify patients' characteristics as well as to search for risk factors for traffic accidents leading to hospitalization. The study included 346 in-patient cases suffering injuries from road traffic accidents in Bangkok Metropolis. The patients were recruited during a period of 4 months of the year 1992 from five hospitals in various areas of Bangkok which were judged to be representative for Bangkok Metropolis. Using the method of case-reference, relative risk could be estimated for various exposure factors. Most of the patients drove a motorcycle, had their license for only a short period, and drove more than 5 hours a day. About one third of the patients were under the influence of alcohol. The traffic accident characteristics were that they occurred mainly at night time with the peak between 21.00 and 24.00 hours. About 90% of all traffic accidents occurred during the rainy season and most of them occurred near to road junctions. Reference data was available for some variables and the following risk group could be identified: RR (male-age 20-24) = 17.06 (8.8-33.9), RR (single-marital status) = 2.25 (1.7-3.1), RR (primary-education) = 6.2 (2.9-12.6), RR (unskilled labourer-occupation) = 3.91 (2.7-5.9), RR (salesperson-occupation) = 3.34 (2.2-5.0). PMID:9656420

  4. Stock index Value-at-Risk forecasting: A realized volatility extreme value theory approach

    Louzis, Dimitrios P.; Spyros Xanthopoulos - Sissinis; Apostolos P. Refenes

    2012-01-01

    In this study, we propose the use of Heterogeneous Autoregressive (HAR) type realized volatility models in combination with the Extreme Value Theory (EVT) method for Value-at-Risk (VaR) forecasting. The proposed model accounts for the long memory property of the realized volatility and the fat tails of the returns distribution. The out-of-sample forecasting results, based on the S&P 500 stock index, indicate that the HAR-type-EVT models outperform their GARCH-type counterparts in terms of sta...

  5. A review of accident response models for risk assessments involving the transport of spent nuclear fuel

    A study was performed to explore the differences between two spent fuel transportation risk assessment models used to calculate conditional accident probabilities and radionuclide release fractions. The Wilmot model, from work performed at Sandia National Laboratories, and the NRC-sponsored Modal Study model were compared to identify areas of conservatism and to assess their applicability to current risk assessment studies. The study included reviewing model assumptions, mathematical equations, and data sources for each model. The total probability hazard results showed that Modal Study gave several orders of magnitude higher total relative risk than the Wilmot values. However, considering the very low magnitudes of the risk, this difference is not considered significant with respect to the overall risk assessment. It was also found that the documentation and referencing of accident response region models needs improvements

  6. Assessment of accident risk among elderly in domestic environment: A cross-sectional study in rural south Karnataka, India

    Aras, Radha Y.; Venkatesh Narayan; Neevan D D′souza; Irene Veigas

    2012-01-01

    Background: Geriatric population is vulnerable to domestic accidents. Safety-related provisions/behavior in domestic environment can reduce the risk of accidents. Aim and Objective: To know the safety practices followed at home by people above 60 years age and to assess few epidemiological factors associated with their risk of domestic accident. Study Design: A community-based cross-sectional study. Materials and Methods: Using Lot Quality Technique, 135 elderly (out of 196; at 7% desired lev...

  7. The Risk Assessment on Arbitrary Accidents Orientating in the TSF For LILW Management

    The objective of this study is to conduct the risk assessment on arbitrary accidents originating in the TSF for LILW management through the result of dose assessment. In order to conduct the risk assessment on arbitrary accidents originating in the TSF for LILW management, the result of dose assessment was converted to the risk index. The risk conversion parameter for deriving the risk index was considered in the concept of the total risk factor suggested in the ICRP. After considering each parameter, the total risk factor was represented by the value of 7.3E·5 risk/mSv in terms of risk dimension. And then, the risk-level was also derived with respect to each risk degree. Consequently, the risk-level of all of drums was III regardless of waste stream with respect to the dropping of drums and fire. Especially, the risk originated in dropping of drums could be ignored. In opposition to many of researches on the disposal of LILW, the risk assessment on the TSF has scarcely been conducted. Furthermore, the details in regards of the safety analysis on this facility have not been considered in the preliminary and final safety analysis report because this report focused on the nuclear reactor system rather than this facility. As a consequence of these situations, the number of the researches on the arbitrary accidents occurring in the TSF has not been enough. And then, the numbers of the researches on the predisposal management of LILW have been required for the preparation on new regulatory frame

  8. [Motivation of the employer for accident prevention and rehabilitation through risk-justified premiums].

    Hartmann, A L; Merz, R

    1989-01-01

    The Swiss workers' compensation law prescribes experience rating. Successful efforts of an employer to reduce the risk of accidents through adequate preventive measures on one hand, and on the other hand to keep subsequent costs of still occurring accidents low with quick, consistent and generous measures of rehabilitation, will therefore result in a lower insurance rate. The motivating influence and success of this self-responsibility is pointed out with the figures of a trading company who had been detached from a large risk-community due to bad results. The success with accident prevention and the very favourable ratio achievable of costs for medical treatment (as a measure for the severity of the injuries) to daily payments and costs for permanent disabilities is shown with the example of a construction machinery company. What relations and consecutive costs result from (partly conscious) neglect of rehabilitation is demonstrated with the figures of a construction company. PMID:2532438

  9. A supply chain contract with flexibility as a risk-sharing mechanism for demand forecasting

    Kim, Whan-Seon

    2013-06-01

    Demand forecasting is one of the main causes of the bullwhip effect in a supply chain. As a countermeasure for demand uncertainty as well as a risk-sharing mechanism for demand forecasting in a supply chain, this article studies a bilateral contract with order quantity flexibility. Under the contract, the buyer places orders in advance for the predetermined horizons and makes minimum purchase commitments. The supplier, in return, provides the buyer with the flexibility to adjust the order quantities later, according to the most updated demand information. To conduct comparative simulations, four-echelon supply chain models, that employ the contracts and different forecasting techniques under dynamic market demands, are developed. The simulation outcomes show that demand fluctuation can be effectively absorbed by the contract scheme, which enables better inventory management and customer service. Furthermore, it has been verified that the contract scheme under study plays a role as an effective coordination mechanism in a decentralised supply chain.

  10. Integration of risk aversion in the evaluation of the external cost of a nuclear accident

    Full text of publication follows: the external costs of fuel cycles used in the production of electricity are those imposed on society and environment that are not accounted for by the producers and consumers of energy. Within the evaluation of the external cost of the nuclear fuel cycle, the evaluation of a nuclear accident has to be addressed. For this purpose, the basic approach consists in calculating the expected value of various occident scenarios. the main criticism of this approach is that there is a discrepancy between the social acceptability of the risk and the average monetary value which corresponds in principle to the compensation of the consequences for each individual of the population affected by the accident. The aim of this paper is to propose a methodology for the integration of risk aversion, relying on the expected utility approach, as well as a numerical application based on the French data for the external cost of a nuclear accident. Although a huge range of values has been published for the relative risk aversion coefficient, it seems reasonable to adopt a value of 2 for the specific case of nuclear accident. This leads to an estimated multiplying coefficient approximately equal to 20 to be applied to the expected external cost of a nuclear accident corresponding to a release of about 1% of the core. In this case, the external cost of the nuclear accident is estimated to 0.046 mECU/kWh (i.e. about 50% of the total external costs of the nuclear fuel cycle estimated at 0.1 mECU/kWh with a 3% discount rate), instead of 0.0023 mECU/kWh without taking into account risk aversion. (authors)

  11. The assisted prediction modelling frame with hybridisation and ensemble for business risk forecasting and an implementation

    Li, Hui; Hong, Lu-Yao; Zhou, Qing; Yu, Hai-Jie

    2015-08-01

    The business failure of numerous companies results in financial crises. The high social costs associated with such crises have made people to search for effective tools for business risk prediction, among which, support vector machine is very effective. Several modelling means, including single-technique modelling, hybrid modelling, and ensemble modelling, have been suggested in forecasting business risk with support vector machine. However, existing literature seldom focuses on the general modelling frame for business risk prediction, and seldom investigates performance differences among different modelling means. We reviewed researches on forecasting business risk with support vector machine, proposed the general assisted prediction modelling frame with hybridisation and ensemble (APMF-WHAE), and finally, investigated the use of principal components analysis, support vector machine, random sampling, and group decision, under the general frame in forecasting business risk. Under the APMF-WHAE frame with support vector machine as the base predictive model, four specific predictive models were produced, namely, pure support vector machine, a hybrid support vector machine involved with principal components analysis, a support vector machine ensemble involved with random sampling and group decision, and an ensemble of hybrid support vector machine using group decision to integrate various hybrid support vector machines on variables produced from principle components analysis and samples from random sampling. The experimental results indicate that hybrid support vector machine and ensemble of hybrid support vector machines were able to produce dominating performance than pure support vector machine and support vector machine ensemble.

  12. Risk indices of an ecological catastrophe because of a severe accident, its insurance, and their measurement units

    The critical analysis of the existing measurement units of the risk of an ecological catastrophe because of severe accidents is performed. The mistake of using the measurement unit 'reactor/year' for estimation of ecological catastrophe's consequences is shown. The complex for risk assessment by costs to ensure the ecological safety is introduced. The index of virtual accident insurance is suggested

  13. Evaluation of severe accident risks: Methodology for the containment, source term, consequence, and risk integration analyses; Volume 1, Revision 1

    Gorham, E.D.; Breeding, R.J.; Brown, T.D.; Harper, F.T. [Sandia National Labs., Albuquerque, NM (United States); Helton, J.C. [Arizona State Univ., Tempe, AZ (United States); Murfin, W.B. [Technadyne Engineering Consultants, Inc., Albuquerque, NM (United States); Hora, S.C. [Hawaii Univ., Hilo, HI (United States)

    1993-12-01

    NUREG-1150 examines the risk to the public from five nuclear power plants. The NUREG-1150 plant studies are Level III probabilistic risk assessments (PRAs) and, as such, they consist of four analysis components: accident frequency analysis, accident progression analysis, source term analysis, and consequence analysis. This volume summarizes the methods utilized in performing the last three components and the assembly of these analyses into an overall risk assessment. The NUREG-1150 analysis approach is based on the following ideas: (1) general and relatively fast-running models for the individual analysis components, (2) well-defined interfaces between the individual analysis components, (3) use of Monte Carlo techniques together with an efficient sampling procedure to propagate uncertainties, (4) use of expert panels to develop distributions for important phenomenological issues, and (5) automation of the overall analysis. Many features of the new analysis procedures were adopted to facilitate a comprehensive treatment of uncertainty in the complete risk analysis. Uncertainties in the accident frequency, accident progression and source term analyses were included in the overall uncertainty assessment. The uncertainties in the consequence analysis were not included in this assessment. A large effort was devoted to the development of procedures for obtaining expert opinion and the execution of these procedures to quantify parameters and phenomena for which there is large uncertainty and divergent opinions in the reactor safety community.

  14. Evaluation of severe accident risks: Methodology for the containment, source term, consequence, and risk integration analyses. Volume 1, Revision 1

    NUREG-1150 examines the risk to the public from five nuclear power plants. The NUREG-1150 plant studies are Level III probabilistic risk assessments (PRAs) and, as such, they consist of four analysis components: accident frequency analysis, accident progression analysis, source term analysis, and consequence analysis. This volume summarizes the methods utilized in performing the last three components and the assembly of these analyses into an overall risk assessment. The NUREG-1150 analysis approach is based on the following ideas: (1) general and relatively fast-running models for the individual analysis components, (2) well-defined interfaces between the individual analysis components, (3) use of Monte Carlo techniques together with an efficient sampling procedure to propagate uncertainties, (4) use of expert panels to develop distributions for important phenomenological issues, and (5) automation of the overall analysis. Many features of the new analysis procedures were adopted to facilitate a comprehensive treatment of uncertainty in the complete risk analysis. Uncertainties in the accident frequency, accident progression and source term analyses were included in the overall uncertainty assessment. The uncertainties in the consequence analysis were not included in this assessment. A large effort was devoted to the development of procedures for obtaining expert opinion and the execution of these procedures to quantify parameters and phenomena for which there is large uncertainty and divergent opinions in the reactor safety community

  15. Public risk perception after the nuclear accident Fukushima: a case with university students

    This paper presents a comparative study of research conducted with university students before (03 to 05/2010) and after (06 and 07/2011) the accident in nuclear plants in Fukushima, Japan, provoked by the tsunami on March 11, 2011, with regards to risk perception associated with the use of nuclear energy. (author)

  16. Public risk perception after the nuclear accident Fukushima: a case with university students

    Boemer, Veronica Araujo, E-mail: veronica.boemer@usp.b [Centro Tecnologico da Marinha em Sao Paulo (CTMSP), SP (Brazil); Aquino, Afonso Rodrigues de; Pereira, Tatiana de Sousa, E-mail: araquino@ipen.b [Instituto de Pesquisas Energeticas e Nucleares (IPEN/CNEN-SP), Sao Paulo, SP (Brazil)

    2011-07-01

    This paper presents a comparative study of research conducted with university students before (03 to 05/2010) and after (06 and 07/2011) the accident in nuclear plants in Fukushima, Japan, provoked by the tsunami on March 11, 2011, with regards to risk perception associated with the use of nuclear energy. (author)

  17. Risk Analysis for Public Consumption: Media Coverage of the Ginna Nuclear Reactor Accident.

    Dunwoody, Sharon; And Others

    Researchers have determined that the lay public makes risk judgments in ways that are very different from those advocated by scientists. Noting that these differences have caused considerable concern among those who promote and regulate health and safety, a study examined media coverage of the accident at the Robert E. Ginna nuclear power plant…

  18. Estimate of the economy-wide financial risk associated with a serious nuclear reactor accident

    Since the accident at Three Mile Island, considerable attention has focused on the financial risks associated with nuclear reactor accidents. Previous studies have calculated the plant-specific financial risk due to primarily off-site consequences, including most probabilistic risk assessments (PRAs) beginning first with the Reactor Safety Study. Previous studies, however, have not studied the possible economy-wide costs of a severe reactor accident due to such considerations as adverse public opinion, enhanced concern in the financial community, and, particularly, regulatory constraints placed on the industry subsequent to an accident. These considerations could lead to a spectrum of scenarios, including partial or complete nuclear moratoria, which may have far reaching economy-wide effects. It is the purpose of this study to provide an estimate of these effects, and to compare these estimates with the plant-specific financial risks calculated earlier by others. First, a model is presented for including the impact of various regulatory response options on the nuclear industry, followed by a discussion of how the economy-wide costs associated with these options may be calculated. Then, results of series of calculations are presented, and finally, conclusions are given

  19. Risk factors associated with bus accident severity in the United States: A generalized ordered logit model

    Kaplan, Sigal; Prato, Carlo Giacomo

    2012-01-01

    2011. Method: The current study investigates the underlying risk factors of bus accident severity in the United States by estimating a generalized ordered logit model. Data for the analysis are retrieved from the General Estimates System (GES) database for the years 2005–2009. Results: Results show...

  20. Venomous mollusks: the risks of human accidents by conus snails (gastropoda: conidae) in Brazil.

    Haddad, Vidal; de Paula Neto, João Batista; Cobo, Válter José

    2006-01-01

    Mollusks of the genus Conus present a venomous apparatus composed of radulae, a chitin structure linked to glands, which injects potent neurotoxic peptides, causing serious human envenomation and even death, associated with the blockage of certain receptors and muscular paralysis. No reported envenomation has occurred in Brazil, but certain populations are at risk of accidents. PMID:17160331

  1. Measuring accident risk exposure for pedestrians in different micro-environments.

    Lassarre, Sylvain; Papadimitriou, Eleonora; Yannis, George; Golias, John

    2007-11-01

    Pedestrians are mainly exposed to the risk of road accident when crossing a road in urban areas. Traditionally in the road safety field, the risk of accident for pedestrian is estimated as a rate of accident involvement per unit of time spent on the road network. The objective of this research is to develop an approach of accident risk based on the concept of risk exposure used in environmental epidemiology, such as in the case of exposure to pollutants. This type of indicator would be useful for comparing the effects of urban transportation policy scenarios on pedestrian safety. The first step is to create an indicator of pedestrians' exposure, which is based on motorised vehicles' "concentration" by lane and also takes account of traffic speed and time spent to cross. This is applied to two specific micro-environments: junctions and mid-block locations. A model of pedestrians' crossing behaviour along a trip is then developed, based on a hierarchical choice between junctions and mid-block locations and taking account of origin and destination, traffic characteristics and pedestrian facilities. Finally, a complete framework is produced for modelling pedestrians' exposure in the light of their crossing behaviour. The feasibility of this approach is demonstrated on an artificial network and a first set of results is obtained from the validation of the models in observational studies. PMID:17920847

  2. Evaluation of severe accident risks and the potential for risk reduction: Surry Power Station, Unit 1: Draft report for comment

    Benjamin, A.S.; Boyd, G.J.; Kunsman, D.M.; Murfin, W.B.; Williams, D.C.

    1987-02-01

    The Severe Accident Risk Reduction Program (SARRP) has completed a rebaselining of the risks to the public from a particular pressurized water reactor with a subatmospheric containment (Surry, Unit 1). Emphasis was placed on determining the magnitude and character of the uncertainties, rather than focusing on a point estimate. The risk-reduction potential of a set of proposed safety option backfits was also studied, and their costs and benefits were also evaluated. It was found that the risks from internal events are generally lower than previously evaluated in the Reactor Safety Study (RSS). However, certain unresolved issues (such as direct containment heating) caused the top of the uncertainty band to appear at a level that is comparable with the RSS point estimate. None of the postulated safety options appears to be cost effective for the Surry power plant. This work supports the Nuclear Regulatory Commission's assessment of severe accidents in NUREG-1150.

  3. Evaluation of severe accident risks and the potential for risk reduction: Surry Power Station, Unit 1: Draft report for comment

    The Severe Accident Risk Reduction Program (SARRP) has completed a rebaselining of the risks to the public from a particular pressurized water reactor with a subatmospheric containment (Surry, Unit 1). Emphasis was placed on determining the magnitude and character of the uncertainties, rather than focusing on a point estimate. The risk-reduction potential of a set of proposed safety option backfits was also studied, and their costs and benefits were also evaluated. It was found that the risks from internal events are generally lower than previously evaluated in the Reactor Safety Study (RSS). However, certain unresolved issues (such as direct containment heating) caused the top of the uncertainty band to appear at a level that is comparable with the RSS point estimate. None of the postulated safety options appears to be cost effective for the Surry power plant. This work supports the Nuclear Regulatory Commission's assessment of severe accidents in NUREG-1150

  4. Research on risk assessment for maritime transport of radioactive materials. Preparation of maritime accident data for risk assessment

    Maritime transport of radioactive materials has been playing an important role in the nuclear fuel cycle in Japan. Due to recent increase of transported radioactive materials and diversification of transport packages with enlargement of nuclear research, development and utilization, safety securement for maritime transport of radioactive materials is one of important issues in the nuclear fuel cycle. Based squarely on the current circumstances, this paper summarizes discussion on importance of utilization of results of risk assessment for maritime transport of radioactive materials. A plan for development of comprehensive methodology to assess risks in maritime transport of radioactive materials is also described. Preparations of database of maritime accident to be necessary for risk assessment are also summarized. The prepared data could be utilized for future quantitative risk assessment, such as the event trees and fault trees analyses, for maritime transport of radioactive materials. The frequency of severe accident that the package might be damaged is also estimated using prepared data. (author)

  5. SCORING ASSESSMENT AND FORECASTING MODELS BANKRUPTCY RISK OF COMPANIES

    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.

  6. A resilience engineering approach to assess major accident risks

    Hollnagel, E.

    2013-01-01

    This chapter describes how the principles of Resilience Engineering can be used to make a risk assessment of an Integrated Operations (IO) scenario. It refers to the case study provided in Chapter 12.......This chapter describes how the principles of Resilience Engineering can be used to make a risk assessment of an Integrated Operations (IO) scenario. It refers to the case study provided in Chapter 12....

  7. The circumstances of severe accident measure implementation and 'the residual risk'

    Time-series sequence and direct and root causes of Fukushima Daiichi accident were up to validation of Hatamura's investigation committee on the accident but it would be clear that measure against tsunamis was not good enough. Based on this unprecedented accident, revision of safety design review guide and regulatory requirements of severe accident (SA) measure were under consideration while SA measure had been implemented as public self-safety management by administrative guidance. History of SA measure preparation including the introduction of 'the residual risk' for expansion and upgrade of SA measure in new review guide of seismic design of nuclear power reactor facilities was looked back to learn lessons for better safety operation of nuclear facilities. Nuclear operators established accident management (AM) incorporating appropriate SA measure extracted from probabilistic safety assessment (PSA) in 2002, which had been expanded and reinforced by periodic safety review (PSR). At the revision of regulation in 2003, PSA became requirement of operational safety program but not mandatory as before and lost the chance of regulatory review at the PSR. Extent of SA measure had not been expanded based on latest knowledge of SA research and PSA technology. Evaluation of 'the residual risk' obtained by seismic PSA could not be reported at seismic back check so far because seismic evaluation against ground motion was obliged to be preferred. Safety regulation system based on safety culture of both nuclear operators and regulators should be established for implementation of advanced AM for a certainty. (T. Tanaka)

  8. Empirical Risk Analysis of Severe Reactor Accidents in Nuclear Power Plants after Fukushima

    Jan Christian Kaiser

    2012-01-01

    Full Text Available Many countries are reexamining the risks connected with nuclear power generation after the Fukushima accidents. To provide updated information for the corresponding discussion a simple empirical approach is applied for risk quantification of severe reactor accidents with International Nuclear and Radiological Event Scale (INES level ≥5. The analysis is based on worldwide data of commercial nuclear facilities. An empirical hazard of 21 (95% confidence intervals (CI 4; 62 severe accidents among the world’s reactors in 100,000 years of operation has been estimated. This result is compatible with the frequency estimate of a probabilistic safety assessment for a typical pressurised power reactor in Germany. It is used in scenario calculations concerning the development in numbers of reactors in the next twenty years. For the base scenario with constant reactor numbers the time to the next accident among the world's 441 reactors, which were connected to the grid in 2010, is estimated to 11 (95% CI 3.7; 52 years. In two other scenarios a moderate increase or decrease in reactor numbers have negligible influence on the results. The time to the next accident can be extended well above the lifetime of reactors by retiring a sizeable number of less secure ones and by safety improvements for the rest.

  9. Common Risk Target for severe accidents of nuclear power plants based on IAEA INES scale

    The IAEA has repeatedly recommended that the nuclear community should arrive at a common understanding and definition of safety goals for severe accidents in nuclear power plants. The recommendation has only found partial answers, despite the numerous working groups and forums devoted to this effort. The most widely accepted definition of goals is based on the concept of Large (Early) Release Frequencies (L(E)RF) and its derivatives, a surrogate concept derived from results of Probabilistic Safety Assessments (PSAs) which was first introduced in the USA almost twenty years ago and much later accepted by the USNRC for risk informed decision making, but not for safety demonstrations. Other types of Safety Goals have been adopted by some nuclear authorities, but the main drawback of all current definitions is that they may apply only to LWRs. The lack of unifying safety/risk parameter throughout of PSAs worldwide is the basis of the present work, and an attempt is made to arrive at the definition of a Risk Target for severe accidents in NPPs, consistent with the IAEA definitions having a technical basis, which can be adopted without modifications for Generation IV power plants. The proposal of Common Risk Target in this work represents an attempt to define a Common Risk Target based on technical reasoning, reflecting IAEA definitions as well as harmonization requirements raised by the whole European Community in various OECD, ASAMPSA2 and SARNET (Guentay et al., 2006) conclusions and Council Directive of The European Union (Community Framework, 2009) as well as lastly performed stress tests of nuclear power plants throughout the Europe (Peer Review Report, 2012). The basic concept of CRT was first introduced and developed within the European project ASAMPSA2 by the authors of this article and was accepted by majority of world PSA experts participating in final evaluation and survey of the project (Guentay, 2011). In the proposed Risk Target concept an innovative

  10. Calibration and combination of dynamical seasonal forecasts to enhance the value of predicted probabilities for managing risk

    Dutton, John A.; James, Richard P.; Ross, Jeremy D.

    2013-06-01

    Seasonal probability forecasts produced with numerical dynamics on supercomputers offer great potential value in managing risk and opportunity created by seasonal variability. The skill and reliability of contemporary forecast systems can be increased by calibration methods that use the historical performance of the forecast system to improve the ongoing real-time forecasts. Two calibration methods are applied to seasonal surface temperature forecasts of the US National Weather Service, the European Centre for Medium Range Weather Forecasts, and to a World Climate Service multi-model ensemble created by combining those two forecasts with Bayesian methods. As expected, the multi-model is somewhat more skillful and more reliable than the original models taken alone. The potential value of the multimodel in decision making is illustrated with the profits achieved in simulated trading of a weather derivative. In addition to examining the seasonal models, the article demonstrates that calibrated probability forecasts of weekly average temperatures for leads of 2-4 weeks are also skillful and reliable. The conversion of ensemble forecasts into probability distributions of impact variables is illustrated with degree days derived from the temperature forecasts. Some issues related to loss of stationarity owing to long-term warming are considered. The main conclusion of the article is that properly calibrated probabilistic forecasts possess sufficient skill and reliability to contribute to effective decisions in government and business activities that are sensitive to intraseasonal and seasonal climate variability.

  11. Willingness-to-pay for a probabilistic flood forecast: a risk-based decision-making game

    Arnal, Louise; Ramos, Maria-Helena; Coughlan de Perez, Erin; Cloke, Hannah Louise; Stephens, Elisabeth; Wetterhall, Fredrik; van Andel, Schalk Jan; Pappenberger, Florian

    2016-08-01

    Probabilistic hydro-meteorological forecasts have over the last decades been used more frequently to communicate forecast uncertainty. This uncertainty is twofold, as it constitutes both an added value and a challenge for the forecaster and the user of the forecasts. Many authors have demonstrated the added (economic) value of probabilistic over deterministic forecasts across the water sector (e.g. flood protection, hydroelectric power management and navigation). However, the richness of the information is also a source of challenges for operational uses, due partially to the difficulty in transforming the probability of occurrence of an event into a binary decision. This paper presents the results of a risk-based decision-making game on the topic of flood protection mitigation, called "How much are you prepared to pay for a forecast?". The game was played at several workshops in 2015, which were attended by operational forecasters and academics working in the field of hydro-meteorology. The aim of this game was to better understand the role of probabilistic forecasts in decision-making processes and their perceived value by decision-makers. Based on the participants' willingness-to-pay for a forecast, the results of the game show that the value (or the usefulness) of a forecast depends on several factors, including the way users perceive the quality of their forecasts and link it to the perception of their own performances as decision-makers.

  12. Risk analysis of flood control operation mode with forecast information based on a combination of risk sources

    2010-01-01

    Risk analysis of reservoir flood control operation mode with forecast information (FCOMFI) is an important basis for the design and implementation of FCOMFI. Most of current researches on this issue are incomplete as they only consider flood forecast errors, but not many other uncertainties in reservoir routing. In order to obtain an integrated risk rate of FCOMFI, this paper analyzes four uncertainties, i.e. hydrological, hydraulic, stage-storage uncertainty and time-delay uncertainty, as well as their probability distributions. On the basis of this analysis, an integrated risk analysis model of FCOMFI for reservoirs and its lower reach is established involving the above-mentioned four uncertainties, and this model is solved by Monte Carlo simulation based on Latin hypercube sampling. The simulation results, with Baiguishan reservoir as the example, show that the integrated risk rates of FCOMFI are less than those of the flood control operation mode without forecast information. This article presents the highest limited water level that satisfies flood control safety requirements of the lower reach.

  13. Estimating Worker Risk Levels Using Accident/Incident Data

    Kenoyer, Judson L.; Stenner, Robert D.; Andrews, William B.; Scherpelz, Robert I.; Aaberg, Rosanne L.

    2000-09-26

    The purpose of the work described in this report was to identify methods that are currently being used in the Department of Energy (DOE) complex to identify and control hazards/risks in the workplace, evaluate them in terms of their effectiveness in reducing risk to the workers, and to develop a preliminary method that could be used to predict the relative risks to workers performing proposed tasks using some of the current methodology. This report describes some of the performance indicators (i.e., safety metrics) that are currently being used to track relative levels of workplace safety in the DOE complex, how these fit into an Integrated Safety Management (ISM) system, some strengths and weaknesses of using a statistically based set of indicators, and methods to evaluate them. Also discussed are methods used to reduce risk to the workers and some of the techniques that appear to be working in the process of establishing a condition of continuous improvement. The results of these methods will be used in future work involved with the determination of modifying factors for a more complex model. The preliminary method to predict the relative risk level to workers during an extended future time period is based on a currently used performance indicator that uses several factors tracked in the CAIRS. The relative risks for workers in a sample (but real) facility on the Hanford site are estimated for a time period of twenty years and are based on workforce predictions. This is the first step in developing a more complex model that will incorporate other modifying factors related to the workers, work environment and status of the ISM system to adjust the preliminary prediction.

  14. Inter-basin water transfer-supply model and risk analysis with consideration of rainfall forecast information

    2010-01-01

    This paper develops a new inter-basin water transfer-supply and risk assessment model with consideration of rainfall forecast information. Firstly, based on the current state of reservoir and rainfall forecast information from the global forecast system (GFS), the actual diversion amount can be determined according to the inter-basin water transfer rules with the decision tree method; secondly, the reservoir supply operation system is used to distribute water resource of the inter-basin water transfer reservoir; finally, the integrated risk assessment model is built by selecting the reliability of water transfer, the reliability (water shortage risk), the resiliency and the vulnerability of water supply as risk analysis indexes. The case study shows that the inter-basin water transfer-supply model with rainfall forecast information considered can reduce the comprehensive risk and improve the utilization efficiency of water resource, as compared with conventional and optimal water distribution models.

  15. The risk of accident in nuclear power plants - Quotes and questions. National debate on energy transition. Taking the risk of nuclear accident into account. Note to the 'scenarios' subgroup of the group of experts

    After an overview of the production of electricity from nuclear energy and of its risks, the author discusses the issue of nuclear safety by distinguishing the different points of view, by describing the different levels between a severe and a major accident, and by recalling the statements made by the ASN and the IRSN on this issue. He describes the various reasons and consequences of accidents: types of accidents which could result in a core fusion, the containment failure as the major accident. He discusses the questions and comments about major issues like: strength of reactor vessels, hydrogen explosion, water vapour explosion, corium crossing the concrete sill plate, corium recovery, MOX as an aggravating situation for safety. In the last part, the author discusses the global assessment of a risk of a nuclear accident: probabilities and occurrences, significant accidents on PWRs, premonitory analysis, demonstration of nuclear safety

  16. Risk assessment of severe accident-induced steam generator tube rupture

    NONE

    1998-03-01

    This report describes the basis, results, and related risk implications of an analysis performed by an ad hoc working group of the U.S. Nuclear Regulatory Commission (NRC) to assess the containment bypass potential attributable to steam generator tube rupture (SGTR) induced by severe accident conditions. The SGTR Severe Accident Working Group, comprised of staff members from the NRC`s Offices of Nuclear Reactor Regulation (NRR) and Nuclear Regulatory Research (RES), undertook the analysis beginning in December 1995 to support a proposed steam generator integrity rule. The work drew upon previous risk and thermal-hydraulic analyses of core damage sequences, with a focus on the Surry plant as a representative example. This analysis yielded new results, however, derived by predicting thermal-hydraulic conditions of selected severe accident scenarios using the SCDAP/RELAP5 computer code, flawed tube failure modeling, and tube failure probability estimates. These results, in terms of containment bypass probability, form the basis for the findings presented in this report. The representative calculation using Surry plant data indicates that some existing plants could be vulnerable to containment bypass resulting from tube failure during severe accidents. To specifically identify the population of plants that may pose a significant bypass risk would require more definitive analysis considering uncertainties in some assumptions and plant- and design-specific variables. 46 refs., 62 figs., 37 tabs.

  17. Risk assessment of severe accident-induced steam generator tube rupture

    This report describes the basis, results, and related risk implications of an analysis performed by an ad hoc working group of the U.S. Nuclear Regulatory Commission (NRC) to assess the containment bypass potential attributable to steam generator tube rupture (SGTR) induced by severe accident conditions. The SGTR Severe Accident Working Group, comprised of staff members from the NRC's Offices of Nuclear Reactor Regulation (NRR) and Nuclear Regulatory Research (RES), undertook the analysis beginning in December 1995 to support a proposed steam generator integrity rule. The work drew upon previous risk and thermal-hydraulic analyses of core damage sequences, with a focus on the Surry plant as a representative example. This analysis yielded new results, however, derived by predicting thermal-hydraulic conditions of selected severe accident scenarios using the SCDAP/RELAP5 computer code, flawed tube failure modeling, and tube failure probability estimates. These results, in terms of containment bypass probability, form the basis for the findings presented in this report. The representative calculation using Surry plant data indicates that some existing plants could be vulnerable to containment bypass resulting from tube failure during severe accidents. To specifically identify the population of plants that may pose a significant bypass risk would require more definitive analysis considering uncertainties in some assumptions and plant- and design-specific variables. 46 refs., 62 figs., 37 tabs

  18. Combining Reference Class Forecasting with Overconfidence Theory for Better Risk Assessment of Transport Infrastructure Investments

    Leleur, Steen; Salling, Kim Bang; Pilkauskiene, Inga;

    2015-01-01

    investments. In the last decade progress has been made by dealing with this situation known as planners’ optimism bias. Especially attention can be drawn to the use of reference class forecasting that has led to adjustment factors that, when used on the estimates of costs and demand, lead to cost......-benefit analysis results that are modified by taking historical risk experience into account. This article seeks to add to this progress in risk assessment methodology in two ways: first it suggests to apply reference class forecasting (RCF) in a flexible way where the effort is focused on formulating the best...... possible reference pool of projects and second to apply overconfidence theory (OT) to interpret expert judgments (EJ) about costs and demand as relating to a specific project up for examination. By combining flexible use of RCF with EJ based on OT interpretation it is argued that the current adjustment...

  19. Risk factors affecting fatal bus accident severity: Their impact on different types of bus drivers.

    Feng, Shumin; Li, Zhenning; Ci, Yusheng; Zhang, Guohui

    2016-01-01

    While the bus is generally considered to be a relatively safe means of transportation, the property losses and casualties caused by bus accidents, especially fatal ones, are far from negligible. The reasons for a driver to incur fatalities are different in each case, and it is essential to discover the underlying risk factors of bus fatality severity for different types of drivers in order to improve bus safety. The current study investigates the underlying risk factors of fatal bus accident severity to different types of drivers in the U.S. by estimating an ordered logistic model. Data for the analysis are retrieved from the Buses Involved in Fatal Accidents (BIFA) database from the USA for the years 2006-2010. Accidents are divided into three levels by counting their equivalent fatalities, and the drivers are classified into three clusters by the K-means cluster analysis. The analysis shows that some risk factors have the same impact on different types of drivers, they are: (a) season; (b) day of week; (c) time period; (d) number of vehicles involved; (e) land use; (f) manner of collision; (g) speed limit; (h) snow or ice surface condition; (i) school bus; (j) bus type and seating capacity; (k) driver's age; (l) driver's gender; (m) risky behaviors; and (n) restraint system. Results also show that some risk factors only have impact on the "young and elder drivers with history of traffic violations", they are: (a) section type; (b) number of lanes per direction; (c) roadway profile; (d) wet road surface; and (e) cyclist-bus accident. Notably, history of traffic violations has different impact on different types of bus drivers. PMID:26513334

  20. Forecasting Model of Risk of Cancer in Lung Cancer Pedigree in a Case-control Study

    Huan LIN

    2011-07-01

    Full Text Available Background and objective Annual lung screening using spiral computed tomography (CT, has a high sensitivity of detecting early lung cancer (LC, but its high rates of false-positive often lead to unnecessary surgery. The aim of this study is to create a forecasting model of high risk individuals to lung cancer. Methods The pathologic diagnoses of LC in Guangdong Lung Cancer Institute were consecutively chosen as the probands. All the members of the first-degree relatives of probands' and their spouses' were enrolled in this study. These pedigrees consisted of 633 probands' pedigrees and 565 spouses' pedigrees. Unless otherwise stated, analyses were performed using the SPSS 17.0 statistical software package. Results Compared with the control, a family history of carcinoma in first-degree relatives was significantly associated with LC risk (OR=1.71, P<0.001, the sub-group of either one infected individual or more than two infected individuals in first-degree relatives showed significantly statistical differences (P=0.005, P=0.002. In the forecasting model, the risk compared to that in Chinese population was from 0.38 to 63.08 folds. In the population whose risk was more than 10 times to the Chinese population, the accuracy rate of prediction was 88.1%. Conclusion A family history of carcinoma in first-degree relatives was significantly associated with increased LC risk. The more infected individuals exist in first-degree relatives, the more risk was showed. In the forecasting model, smokers especially heavy ones whose risk were more than 10 times to the Chinese population should be receive annual screening. The population are positive at least any two conditions which including male, lung disease history, occupation expose and history of cancer in first-degree relative.

  1. The forecast ability of risk-neutral densities of foreign exchange

    Ben R. Craig; Keller, Joachim

    2005-01-01

    We estimate the process underlying the pricing of American options by using higher-order lattices combined with a multigrid method. This paper also tests whether the risk-neutral densities given from American options provide a good forecasting tool. We use a nonparametric test of the densities that is based on the inverse probability functions and is modified to account for correlation across time between our random variables, which are uniform under the null hypothesis. We find that the dens...

  2. Managing Forecast Uncertainty and Risk in Multireservoir, Multiobjective, and Multistakeholder Systems

    Kistenmacher, M.; Georgakakos, A. P.

    2012-12-01

    Hydroclimatic forecasts are often issued in probabilistic form to capture the uncertainties that remain in forecasting inflow magnitude and timing. These forecasts can then be used as input to stochastic management models to help operate reservoir systems and provide stakeholders with probabilistic forecasts of system variables, such as reservoir storages, releases, hydropower production, water withdrawals, and water quality parameters. However, due to high computational requirements, many stochastic management models only evaluate one management policy and are therefore not capable of exploring risk management options. Furthermore, such models usually neglect elements of the real-life water resources systems that they are supposed to represent. This presentation focuses on several advances designed to address these shortcoming and shows their application to a real-life reservoir system in California's Central Valley. This first part of the study focuses on exploring and managing the risks and uncertainties in multi-objective and multi-stakeholder systems. Traditional management models only find management policies that optimize the expected values of system benefits or costs, thereby not allowing operators and stakeholders to explicitly consider issues related to uncertainty and risk management. A technique that can be used to explore different risk management options was developed. The technique allows users to derive policies that produce desired probabilistic distributions of reservoir system outputs reflecting stakeholder preferences by imposing variance constraints on relevant system variables. The second part of this study highlights the expansion of an existing management model, previously only considering monthly water quantity fluxes, to incorporate water quality and flood control objectives. An existing water temperature model is analyzed and used to produce a reduced order model while the flood control objectives are considered through the development

  3. Evaluating the accuracy of value-at-risk forecasts: New multilevel tests

    Leccadito, A; Boffelli, S; Urga, G.

    2014-01-01

    We propose independence and conditional coverage tests aimed at evaluating the accuracy of Value-at-Risk (VaR) forecasts from the same model at different confidence levels. The proposed procedures are multilevel tests, i.e. joint tests of several quantiles corresponding to different confidence levels. In a comprehensive Monte Carlo exercise, we document the superiority of the proposed tests with respect to existing multilevel tests. In an empirical application, we illustrate the implementatio...

  4. Modeling and Forecasting Implied Volatility: Implications for Trading, Pricing, and Risk Management

    Badshah, Ihsan Ullah

    2010-01-01

    Modeling and forecasting of implied volatility (IV) is important to both practitioners and academics, especially in trading, pricing, hedging, and risk management activities, all of which require an accurate volatility. However, it has become challenging since the 1987 stock market crash, as implied volatilities (IVs) recovered from stock index options present two patterns: volatility smirk(skew) and volatility term-structure, if the two are examined at the same time, presents a rich implied ...

  5. Fundamental risk analysis and VaR forecasts of the Nord Pool system price

    Lundby, Martin; Uppheim, Kristoffer

    2011-01-01

    This paper compares the Value at Risk (VaR) forecasting performance of different quantile regression models to conventional GARCH specifications on the Nord Pool system price. The sample covers hourly data from 2005-2011. In order to identify significant explanatory variables, we use a linear quantile regression to characterize the effects of fundamental factors on the system price formations. From our analysis we are able to show how the sensitivity of the variables change over the range of ...

  6. Evaluation of severe accident risks and the potential for risk reduction: Grand Gulf, Unit 1. Draft for comment, February 1987

    The Severe Accident Risk Reduction Program (SARRP) has completed a rebaselining of the risks to the public from a boiling water reactor with a Mark III containment (Grand Gulf, Unit 1). Emphasis was placed on determining the magnitude and character of the uncertainties, rather than focusing on a point estimate. The risk-reduction potential of a set of proposed safety option backfits was also studied, and their costs and benefits were also evaluated. It was found that the risks from internal events are generally low relative to previous studies; for example, most of the uncertainty range is lower than the point estimate of risk for the Peach Bottom plant in the Reactor Safety Study (RSS). However, certain unresolved issues cause the top of the uncertainty band to appear at a level that is comparable with the RSS point estimate. These issues include the diesel generator failure rate, iodine and cesium revolatilization after vessel breach and the possibility of reactor vessel pedestal failure caused by core debris attack. Some of the postulated safety options appear to be potentially cost effective for the Grand Gulf power plant, particularly when onsite accidents costs are included in the evaluation of benefits. Principally these include procedural modifications and relatively inexpensive hardware additions to insure core cooling in the event of a station blackout. This work supports the Nuclear Regulatory Commission's assessment of severe accidents in NUREG-1150. (author)

  7. What are the consequences of the reactor accident in Fukushima for the evaluation of nuclear risk?

    There are historical breaks in the relation of risk analysis, risk perception and regulation policy. The year 2011 with the reactor accident in the NPP Fukushima was such a break, especially in Germany. The nuclear phase-out was reduced to ten years the energy policy turnaround received a broad societal agreement. Nuclear facilities loose public acceptance, the risk perception has changed. The Japanese evaluation results on faulty and nontransparent behavior and the lack of governance of responsible persons and authorities including a poor accident management have further decreased the public confidence. A new concept of safety culture for all nuclear facilities including the radioactive waste management is required, the communication processes between plant operator, authorities, science and the public have to be intensified.

  8. Transport accident frequency data, their sources and their application in risk assessment

    Base transport accident frequency data and sources of these data are presented. Both generic information and rates specific to particular routes or packages are included. Strong packages, such as those containing significant quantities of radioactive materials, will survive most of the accidents represented by these base frequencies without a containment breach. The association of severity probability distributions with a base frequency, and package and contents response, leading to the quantification of release frequency and magnitude, are often more important in risk assessment than the base frequency itself. This paper therefore also includes brief comments on techniques adopted to utilize the base frequencies. This paper reports an accident frequency data survey undertaken at the end of 1986. It has not been updated to take account of work published between January 1987 and the Report publication date. (author)

  9. Risk Perception and Occupational Accidents: A Study of Gas Station Workers in Southern Brazil

    Letícia Silveira Cardoso

    2012-07-01

    Full Text Available The present study aimed to identify the perceptions of gas station workers about physical, chemical, biological and physiological risk factors to which they are exposed in their work environment; identify types of occupational accidents involving gas station workers and; report the development of a socioenvironmental intervention as a tool for risk communication to gas station workers. A quantitative study was performed with 221 gas station workers in southern Brazil between October and December 2010. Data collection was performed between October to December 2010 via structured interviews. The data were analyzed using SPSS 19.0. The participants identified the following risk types: chemical (93.7%, physical (88.2%, physiological (64.3% and biological (62.4%. In this sample, 94.1% of gas station workers reported occupational accidents, and 74.2% reported fuel contact with the eyes (p < 0.05. It is concluded that workers perceive risks, and that they tend to relate risks with the occurrence of occupational accidents as an indicator of the dangerous nature of their work environment.

  10. A web-based nuclear accident illumination system based on multilevel flow model - for risk communication and nuclear safety culture

    This paper introduces a new method to illuminate the nuclear accident by Multilevel Flow Model, and based on the method, a web-based nuclear accident illumination system is proposed to represent the current nuclear accident in nuclear power plant of Japan in an understandable way. The MFM is a means-end and part-whole modeling method to describe the structure and the intention of a plant process. The relationship between the MFM functions enables accident prediction for a plant process. Thus, a web-based accident illumination system based by MFM can describe the nuclear accident in the nuclear power plant clearly and be accessed by public to make the public get to know and understand the nuclear power and nuclear risk. The public can build their own confidence of the nuclear power by their understanding of the nuclear accident with this system and this is helpful to build a harmonious development environment for nuclear power. (author)

  11. The accident at Gorleben: A case study of risk communication and risk amplification in the Federal Republic of Germany

    On May 12, 1987 an accident happened in the ''pilot mine'' at Gorleben in the Federal Republic of Germany where the feasibility of a repository or high-radioactive nuclear waste is currently being investigated. A miner was killed during that accident and two others were severely injured. Although this accident happened during conventional mining work and had nothing to do with radioactive waste, this event received much public attention and news coverage and had a strong impact on the political debate on the Gorleben project of a repository mine for radioactive waste and even on the nuclear power controversy in general. This study does not aim to evaluate the accident that happened in the Gorleben pilot mine from a geological point of view nor does it aim to evaluate the West German waste disposal concept. All information given in chapter 2 on these aspects should be considered as background information, useful in understanding the subject of this case study: the risk communication concerning the Gorleben project in general and the accident in the shaft in particular

  12. A functional assay-based strategy for nanomaterial risk forecasting.

    Hendren, Christine Ogilvie; Lowry, Gregory V; Unrine, Jason M; Wiesner, Mark R

    2015-12-01

    The study of nanomaterial impacts on environment, health and safety (nanoEHS) has been largely predicated on the assumption that exposure and hazard can be predicted from physical-chemical properties of nanomaterials. This approach is rooted in the view that nanoöbjects essentially resemble chemicals with additional particle-based attributes that must be included among their intrinsic physical-chemical descriptors. With the exception of the trivial case of nanomaterials made from toxic or highly reactive materials, this approach has yielded few actionable guidelines for predicting nanomaterial risk. This article addresses inherent problems in structuring a nanoEHS research strategy based on the goal of predicting outcomes directly from nanomaterial properties, and proposes a framework for organizing data and designing integrated experiments based on functional assays (FAs). FAs are intermediary, semi-empirical measures of processes or functions within a specified system that bridge the gap between nanomaterial properties and potential outcomes in complex systems. The three components of a functional assay are standardized protocols for parameter determination and reporting, a theoretical context for parameter application and reference systems. We propose the identification and adoption of reference systems where FAs may be applied to provide parameter estimates for environmental fate and effects models, as well as benchmarks for comparing the results of FAs and experiments conducted in more complex and varied systems. Surface affinity and dissolution rate are identified as two critical FAs for characterizing nanomaterial behavior in a variety of important systems. The use of these FAs to predict bioaccumulation and toxicity for initial and aged nanomaterials is illustrated for the case of silver nanoparticles and Caenorhabditis elegans. PMID:26188653

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

    Yihua Zhong

    2016-01-01

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

  14. Current problems in communication from the weather forecast in the prevention of hydraulic and hydrogeological risk

    Fazzini, Massimiliano; Vaccaro, Carmela

    2014-05-01

    The Italian territory is one of the most fragile hydraulic and hydro geologic of the world, due to its complexity physiographic, lithological and above meteo-climatic too. Moreover, In recent years, the unhappy urbanization, the abandonment of mountain areas and countryside have fostered hydro geological instability, ever more devastating, in relation to the extremes of meteorological events. After the dramatic floods and landscapes of the last 24 months - in which more than 50 people died - it is actually open a public debate on the issues related to prevention, forecasting and management of hydro-meteorological risk. Aim of the correct weather forecasting at different spatial and temporal scales is to avoid or minimize the potential occurrence of damage or human losses resulting from the increasingly of frequent extreme weather events. In Italy, there are two major complex problems that do not allow for effective dissemination of the correct weather forecasting. First, the absence of a national meteorological service - which can ensure the quality of information. In this regard, it is at an advanced stage the establishment of a unified national weather service - formed by technicians to national and regional civil protection and the Meteorological Service of the Air Force, which will ensure the quality of the prediction, especially through exclusive processing of national and local weather forecasting and hydro geological weather alert. At present, however, this lack favors the increasing diffusion of meteorological sites more or less professional - often totally not "ethical" - which, at different spatial scales, tend to amplify the signals from the weather prediction models, describing them the users of the web such as exceptional or rare phenomena and often causing unjustified alarmism. This behavior is almost always aimed at the desire of give a forecast before other sites and therefore looking for new commercial sponsors, with easy profits. On the other hand

  15. Value-at-Risk forecasts by a spatiotemporal model in Chinese stock market

    Gong, Pu; Weng, Yingliang

    2016-01-01

    This paper generalizes a recently proposed spatial autoregressive model and introduces a spatiotemporal model for forecasting stock returns. We support the view that stock returns are affected not only by the absolute values of factors such as firm size, book-to-market ratio and momentum but also by the relative values of factors like trading volume ranking and market capitalization ranking in each period. This article studies a new method for constructing stocks' reference groups; the method is called quartile method. Applying the method empirically to the Shanghai Stock Exchange 50 Index, we compare the daily volatility forecasting performance and the out-of-sample forecasting performance of Value-at-Risk (VaR) estimated by different models. The empirical results show that the spatiotemporal model performs surprisingly well in terms of capturing spatial dependences among individual stocks, and it produces more accurate VaR forecasts than the other three models introduced in the previous literature. Moreover, the findings indicate that both allowing for serial correlation in the disturbances and using time-varying spatial weight matrices can greatly improve the predictive accuracy of a spatial autoregressive model.

  16. Increased Risk of Hospitalization Related to Motor Vehicle Accidents Among People Taking Zolpidem: A Case–Crossover Study

    Yang, Yao-Hsu; Lai, Jung-Nien; Lee, Chang-Hsing; Wang, Jung-Der; Chen, Pau-Chung

    2011-01-01

    Background Several epidemiological and experimental studies have found a positive association between the risk of motor vehicle accidents (MVAs) and use of zopiclone and benzodiazepines. There is, however, little evidence of any risk of MVA attributable to the use of zolpidem 1 day before such accidents. We attempted to determine whether the use of zolpidem 1 day before is associated with an increased risk of an MVA. Methods Using a 1-million-person randomly sampled cohort from the Taiwan Nat...

  17. Sleep disorders, medical conditions, and road accident risk.

    Smolensky, Michael H; Di Milia, Lee; Ohayon, Maurice M; Philip, Pierre

    2011-03-01

    Sleep disorders and various common acute and chronic medical conditions directly or indirectly affect the quality and quantity of one's sleep or otherwise cause excessive daytime fatigue. This article reviews the potential contribution of several prevalent medical conditions - allergic rhinitis, asthma, chronic obstructive pulmonary disease, rheumatoid arthritis/osteoarthritis - and chronic fatigue syndrome and clinical sleep disorders - insomnia, obstructive sleep apnea, narcolepsy, periodic limb movement of sleep, and restless legs syndrome - to the risk for drowsy-driving road crashes. It also explores the literature on the cost-benefit of preventive interventions, using obstructive sleep apnea as an example. Although numerous investigations have addressed the impact of sleep and medical disorders on quality of life, few have specifically addressed their potential deleterious effect on driving performance and road incidents. Moreover, since past studies have focused on the survivors of driver crashes, they may be biased. Representative population-based prospective multidisciplinary studies are urgently required to clarify the role of the fatigue associated with common ailments and medications on traffic crash risk of both commercial and non-commercial drivers and to comprehensively assess the cost-effectiveness of intervention strategies. PMID:21130215

  18. FACTORS RELATED TO MOTORCYCLE ACCIDENT RISK BEHAVIOR AMONG UNIVERSITY STUDENTS IN NORTHEASTERN THAILAND.

    Chumpawadee, Urai; Homchampa, Pissamai; Thongkrajai, Pramote; Suwanimitr, Amorn; Chadbunchachai, Witaya

    2015-07-01

    Young motorcycle drivers in Thailand are at high risk for road traffic accidents. We conducted this study to identify factors associated with motorcycle accident risk behavior (MARB). We studied 372 randomly selected university students aged 18-22 years (mean 20.2 years; women comprised 68.0% of our participants), who attend a government university in northeastern Thailand. Each student was asked to fill out a questionnaire asking about MARB and factors associated with this behavior. The respondents had an average of 6.2 years (SD+3.09) motorcycle driving experience, 72.3% had a motorcycle driver's license and 83.0% had accident insurance. The prevalence of self-reported motorcycle accident injuries was 42.7%. Their major MARB were using a telephone while driving (69.3%), speeding (45.4%), driving with more than one passenger (40.1%), drunk driving (22.1%), and not wearing a helmet (23.3%). Factors related to MARB were: gender, with men engaged in risky behavior more often than women (p 5 years experience were more likely to engage in risky behavior (p < 0.05); and knowledge of safe driving, those with a greater knowledge of safe driving were more likely to drive safely (p < 0.001). Having a greater awareness of MARB was associated with lower risk of engaging in risky behavior (p < 0.001). Students who engaged in risky behavior were more likely to view it as normal behavior (p < 0.001) and less likely to have adequate self-control (p < 0.001). Our findings indicate a need to strengthen accident prevention programs for university students in northeastern Thailand. PMID:26867401

  19. Quantifying the Influence of Social Characteristics on Accident and Injuries Risk: A Comparative Study Between Motorcyclists and Car Drivers

    Lyckegaard, Allan; Olesen, Morten N.; Hels, Tove

    2011-01-01

    In the recent years many European countries have experienced an increase in the number of fatal traffic accidents with motorcycles. Bos et al. (2008) reports an increase from 17.4% to 21.1% of the total number of fatalities on powered two-wheelers in the European traffic. Several reasons for this...... that the risk of being in an accident or in an injury accident decreased with age, educational level, and income. Furthermore, the risk of being in an accident was 1.72 to 1.96 times higher and the risk of being in an injury accident was 1.38 to 1.44 times higher for men compared to women. For...

  20. Forecasting Latin America’s Country Risk Scores by Means of a Dynamic Diffusion Model

    R. Cervelló-Royo

    2013-01-01

    Full Text Available Over the last years, worldwide financial market instability has shaken confidence in global economies. Global financial crisis and changes in sovereign debts ratings have affected the Latin American financial markets and their economies. However, Latin American’s relative resilience to the more acute rise in risk seen in other regions like Europe during last years is offering investors new options for improving risk-return trade-offs. Therefore, forecasting the future of economic situation involves high levels of uncertainty. The Country Risk Score (CRS represents a broadly used indicator to measure the current situation of a country regarding measures of economic, political, and financial risk in order to determine country risk ratings. In this contribution, we present a diffusion model to study the dynamics of the CRS in 18 Latin American countries which considers both the endogenous effect of each country policies and the contagion effect among them. The model predicts quite well the evolution of the CRS in the short term despite the economic and political instability. Furthermore, the model reproduces and forecasts a slight increasing trend, on average, in the CRS dynamics for almost all Latin American countries over the next months.

  1. Forecasting Radiation Effects on Wildlife in Japan After the Fukushima Nuclear Accident, Based on Limited Information of Post-Accident Early Stage in 2011

    Saito, M. U.; Doko, T.; Koike, F.

    2014-11-01

    Due to the 11 March 2011 Tohoku earthquake, massive radioactive materials were released from the Fukushima Daiichi Nuclear Power Plant (Fukushima NPP). It is crucial to predict the regional distribution and magnitude of the effects on wildlife by radioactive materials. However, during the post-accident early stage in 2011, limited information on large-scale pollution and prediction maps was open to public. Hence, this paper aimed to provide (1) the pollution map covering areas within 300 km from the Fukushima NPP where the radiation intensity exceeded 0.5 μSv/h, (2) pollution maps which predicted air dose for the next 30 years after the accident, and (3) maps of areas where wildlife might be affected by radioactive isotopes by the Fukushima nuclear accident. First, the relative contributions of 131I, 134Cs, and 137Cs were estimated from time series observation data. Second, a 30-year prediction of the pollution was calculated based on the isotope half-lives. Third, the chronic radiation effects on vertebrates were estimated using the threshold dose rate proposed by Sazykina et al. (2009). We examined the chronic radiation effects on morbidity, reproduction, and longevity. The results indicated that radioactive materials could have affected vertebrate morbidity within a 350 km2 area in early April 2011; the threshold level was the median result of Sazykina et al. (2009) with bootstrapping. Based on the prediction, a 15.5 km2 region will remain affected after 30 years. These areas should be monitored to confirm the effects of radioactivity on wildlife.

  2. Environmental risk management for radiological accidents: integrating risk assessment and decision analysis for remediation at different spatial scales.

    Yatsalo, Boris; Sullivan, Terrence; Didenko, Vladimir; Linkov, Igor

    2011-07-01

    The consequences of the Tohuku earthquake and subsequent tsunami in March 2011 caused a loss of power at the Fukushima Daiichi nuclear power plant, in Japan, and led to the release of radioactive materials into the environment. Although the full extent of the contamination is not currently known, the highly complex nature of the environmental contamination (radionuclides in water, soil, and agricultural produce) typical of nuclear accidents requires a detailed geospatial analysis of information with the ability to extrapolate across different scales with applications to risk assessment models and decision making support. This article briefly summarizes the approach used to inform risk-based land management and remediation decision making after the Chernobyl, Soviet Ukraine, accident in 1986. PMID:21608109

  3. Accident Management ampersand Risk-Based Compliance With 40 CFR 68 for Chemical Process Facilities

    A risk-based logic model is suggested as an appropriate basis for better predicting accident progression and ensuing source terms to the environment from process upset conditions in complex chemical process facilities. Under emergency conditions, decision-makers may use the Accident Progression Event Tree approach to identify the best countermeasure for minimizing deleterious consequences to receptor groups before the atmospheric release has initiated. It is concluded that the chemical process industry may use this methodology as a supplemental information provider to better comply with the Environmental Protection Agency's proposed 40 CFR 68 Risk Management Program rule. An illustration using a benzene-nitric acid potential interaction demonstrates the value of the logic process. The identification of worst-case releases and planning for emergency response are improved through these methods, at minimum. It also provides a systematic basis for prioritizing facility modifications to correct vulnerabilities

  4. [No traumatic labor accident risk in diabetic patient. View from the Spanish legislation].

    Vicente-Herrero, Ma Teófila; Capdevila-García, Luisa M; Ramírez Íñiguez-de la Torre, Ma Victoria; López-González, Ángel Arturo; Terradillos-García, Ma Jesús; Piñaga-Solé, Montserrat; Aguilar-Jiménez, Encarna; Tejedo-Benedicto, Eduardo

    2010-01-01

    The Spanish legislation includes the concept of industrial accidents and industrial damage since 1900, although since then in our country some legislative changes have been made, reaching the current Occupational Risk Prevention Law (ORPL) of 1995 and the legislation emanating from it. This is a controversial concept, if we talk about nontraumatic labor injury that carries consequences in the workplace, civil, criminal and contentious administrative disputes, and economic gains. It differs from others in both in qualifying risk and their benefits; the concept also exists in the other European Union countries and in different Spanish-American countries. Therefore the objective of the paper is to discuss the concept of traumatic industrial accident and non-traumatic labor injury in Spain from the point of view of our law and to establish future benchmarks with professionals of other countries around us for enabling collaboration and joint improvement of the safety and about the health of workers. PMID:21194519

  5. HTGR accident initiation and progression analysis status report. Phase II risk assessment

    The primary purpose of this report is to document AIPA studies performed on the HTGR since issuance of the eight volumes. Implementation of the R and D recommendations is discussed, which includes consideration of new initiating events and accident sequences, modeling of fission product release from fuel particles, factors affecting PCRV plateout during core heatup, and the effect of earthquakes on plant operation. The Phase II risk assessment of core heatup events is presented. The major elements of the study include event trees and probability assessments, physical process evaluations, and evaluation of fission product transport and the associated radiological consequences. A risk assessment of accidents initiated by failures of the steam generators, including economizer-evaporator-superheater sections and the reheaters, is presented and the impact of various plant design options is quantified

  6. Was the Risk from Nursing-Home Evacuation after the Fukushima Accident Higher than the Radiation Risk?

    Michio Murakami; Kyoko Ono; Masaharu Tsubokura; Shuhei Nomura; Tomoyoshi Oikawa; Tosihiro Oka; Masahiro Kami; Taikan Oki

    2015-01-01

    After the 2011 accident at the Fukushima Daiichi nuclear power plant, nursing-home residents and staff were evacuated voluntarily from damaged areas to avoid radiation exposure. Unfortunately, the evacuation resulted in increased mortalities among nursing home residents. We assessed the risk trade-off between evacuation and radiation for 191 residents and 184 staff at three nursing homes by using the same detriment indicator, namely loss of life expectancy (LLE), under four scenarios, i.e. "r...

  7. The radiation risks of the accident spectrum of the Greek research reactor

    The Greek Research Reactor is a 5MW swimming pool type reactor located within Athens area, a large population center of 3081000 inhabitants. The consequence analysis of the reactor focuses on the risks stemming from reactivity, coolant flow blockage, and loss of coolant accidents. Individual doses are estimated to a distance of 20km from the reactor site. Collective exposure and latent health effects for the inhabitants of the region are also calculated. (author)

  8. A probabilistic risk assessment of the LLNL Plutonium facility's evaluation basis fire operational accident

    The Lawrence Livermore National Laboratory (LLNL) Plutonium Facility conducts numerous involving plutonium to include device fabrication, development of fabrication techniques, metallurgy research, and laser isotope separation. A Safety Analysis Report (SAR) for the building 332 Plutonium Facility was completed rational safety and acceptable risk to employees, the public, government property, and the environment. This paper outlines the PRA analysis of the Evaluation Basis Fire (EDF) operational accident. The EBF postulates the worst-case programmatic impact event for the Plutonium Facility

  9. EXPRESS METHOD OF ESTIMATION OF THE POTENTIAL TERRITORIAL RISK IN CASE OF ACCIDENTS ON TRANSPORT

    M. M. Biliaiev; L. Ya. Muntian

    2016-01-01

    Purpose. The present research is aimed to the development of a method to assess the potential territorial risk in accidents on the railways, which takes into account the specificity of the chemically hazardous substances emission in emergency situations during their transportation. Methodology. The basis of the proposed method is numerical modeling of the transfer process is chemically dangerous substances in the atmosphere. The basis of the numerical model is the equation of convective-diffu...

  10. Perceptions of accident risk among on-track machine workers : an interview study

    Morgan, Jim; Abbott, Rachel; Furness, Penny; Webster-Spriggs, Stuart

    2013-01-01

    Although non-fatal injuries remain a frequent occurrence in safety-critical work, very few studies have examined the ways in which organisational systems and processes influence individual safety behaviour. Even fewer have explored the perceived factors contributing to accident risk using qualitative research methods. This short paper presents the initial results from a thematic analysis of ten interviews with On Track Machine (OTM) operatives. Issues arising from two key themes (fatigue, and...