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Titlebook: Integrated Catastrophe Risk Modeling; Supporting Policy Pr Aniello Amendola,Tatiana Ermolieva,Reinhard Mechle Book 2013 Springer Science+Bu

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發(fā)表于 2025-3-21 18:39:13 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Integrated Catastrophe Risk Modeling
副標題Supporting Policy Pr
編輯Aniello Amendola,Tatiana Ermolieva,Reinhard Mechle
視頻videohttp://file.papertrans.cn/469/468440/468440.mp4
概述Wide spectrum of integrated modelling for policy relevant case studies.In depth discussion of model complexity and institutional framework.Linking disaster modelling with stake holders participation p
叢書名稱Advances in Natural and Technological Hazards Research
圖書封面Titlebook: Integrated Catastrophe Risk Modeling; Supporting Policy Pr Aniello Amendola,Tatiana Ermolieva,Reinhard Mechle Book 2013 Springer Science+Bu
描述.Efficient and equitable policies for managing disaster risks and adapting to global environmental change are critically dependent on development of robust options supported by integrated modeling. .The book is based on research and state-of-the art models developed at IIASA (International Institute for Applied Systems Analysis) and within its cooperation network. It addresses the methodological complexities of assessing disaster risks, which call for stochastic simulation, optimization methods and economic modeling. Furthermore, it describes policy frameworks for integrated disaster risk management, including stakeholder participation facilitated by user-interactive decision-support tools. .Applications and results are presented for a number of case studies at different problem scales and in different socio-economic contexts, and their implications for loss sharing policies and economic development are discussed. Among others, the book presents studies for insurance policies for earthquakes in the Tuscany region in Italy and flood risk in the Tisza river basin in Hungary. Further, it investigates the economic impact of natural disasters on development and possible financial coping
出版日期Book 2013
關鍵詞Catastrophe risk modelling; Disaster risk management; Natural disasters; Natural hazards; Risk insurance
版次1
doihttps://doi.org/10.1007/978-94-007-2226-2
isbn_softcover978-94-017-8498-6
isbn_ebook978-94-007-2226-2Series ISSN 1878-9897 Series E-ISSN 2213-6959
issn_series 1878-9897
copyrightSpringer Science+Business Media Dordrecht 2013
The information of publication is updating

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Multiple Criteria Decision Making for Flood Risk ManagementHai polder in northern Vietnam serves as a case study. Results show that it is useful to add a multi-criteria perspective to flood management decisions to account for differing views and preferences. Furthermore, such a framework enables stakeholder participation in consequence analyses as well as in formulating more elaborated criteria weights.
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Optimizing Public Private Risk Transfer Systems for Flood Risk Management in the Upper Tisza Regionk exposures. We use economically sound risk indicators leading to convex stochastic optimization problems strongly connected with non-convex insolvency constraint and Conditional Value-at-Risk (CVaR).
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Flood Risk in a Changing Climate: A Multilevel Approach for Risk Managementaging the risks, including investments in risk reduction measures and investments in insurance or other risk-transfer instruments. The analysis distinguishes between different layers of risk (high and low consequence), which provides insights on allocating between risk reduction and risk transfer.
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Book 2013obust options supported by integrated modeling. .The book is based on research and state-of-the art models developed at IIASA (International Institute for Applied Systems Analysis) and within its cooperation network. It addresses the methodological complexities of assessing disaster risks, which cal
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Modeling Aggregate Economic Risk: An Introductionnomic impacts of disasters, which include effects on gross domestic product, consumption, savings, investment and inflation, as well as the reallocation of resources to relief and reconstruction. Based on statistical and model-based analyses, studies have shown that these impacts can be significant in many instances.
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