Integrated Catastrophe Risk Modeling : Supporting Policy Processes
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 f...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Amendola, Aniello [verfasserIn] |
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| Format: |
E-Book |
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| Sprache: |
Englisch |
| Erschienen: |
Dordrecht: Springer ; 2013 |
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| Schlagwörter: | |
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| Schlagwörter: |
| Systematik: |
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| Anmerkung: |
Description based upon print version of record |
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| Umfang: |
Online-Ressource (X, 287 p. 82 illus., 52 illus. in color, digital) |
| Reihe: |
Advances in Natural and Technological Hazards Research ; 32 SpringerLink ; Bücher |
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| Links: | |
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| ISBN: |
978-94-007-2226-2 |
| DOI / URN: |
10.1007/978-94-007-2226-2 |
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| Katalog-ID: |
1651965919 |
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| 245 | 1 | 0 | |a Integrated Catastrophe Risk Modeling |b Supporting Policy Processes |c edited by Aniello Amendola, Tatiana Ermolieva, Joanne Linnerooth-Bayer, Reinhard Mechler |
| 264 | 1 | |a Dordrecht |b Springer |c 2013 | |
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| 505 | 8 | 0 | |a Integrated Catastrophe RiskModeling; Preface; Contents; Part I: Integrated Modeling for Informing Risk Management Policies; Chapter 1: Catastrophe Models for Informing Risk Management Policy: An Introduction; 1.1 Scope; 1.2 Risk Management and Systems Analysis; 1.3 Catastrophe Models; 1.4 Catastrophe Models As Decision and Policy Support; 1.5 Book Overview; 1.5.1 Part I: Catastrophe Models for Informing Risk Management Policy; 1.5.2 Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk |
| 505 | 8 | 0 | |a 1.5.3 Part III: Tisza River Basin in Hungary: Flood Risk Management, Multi-stakeholder Processes and Conflict Resolution1.6 Part I: Catastrophe Models for Informing Risk Management Policy; 1.6.1 Introduction; 1.6.2 Chapter Descriptions; References; Chapter 2: Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna; 2.1 Introduction; 2.2 Concepts of Risk; 2.3 Aleatory Uncertainty, Epistemic Uncertainty, and Risk Curves; 2.4 Flash Floods in Vienna and Its Subway System; 2.5 Stochastic Optimization (STO) Model; 2.6 Risk Management Measures and Integrated Modeling |
| 505 | 8 | 0 | |a 2.7 Summary of the Results2.8 Some Conclusions; References; Chapter 3: Modeling Catastrophe Risk for Designing Insurance Systems; 3.1 Introduction; 3.2 The Standard Insurance Risk Model; 3.3 Overview of Case Studies; 3.4 Stochastic Optimization (STO) Model; 3.5 Insolvency, Stopping Time, and Nonsmooth Risk Functions; 3.6 The Tuscany Region Case Study; 3.7 The Solution Procedure; 3.8 Conclusions; References; Chapter 4: Multiple Criteria Decision Making for Flood Risk Management; 4.1 Introduction and Background; 4.2 The Framework; 4.3 The Simulation Model; 4.4 Policy Strategies |
| 505 | 8 | 0 | |a 4.5 A Decision Analytical Tool4.6 Adding Different Perspectives; 4.7 Case Study: Area and Setting; 4.8 Criteria; 4.9 Strategies; 4.10 Analysis of Strategies; 4.10.1 The Decision Tree; 4.10.2 Comparing Stakeholders; 4.10.3 Weighting All Stakeholders Equally; 4.10.4 Pareto Optimal Solution; 4.11 Concluding Remarks; References; Chapter 5: Dams and Catastrophe Risk: Discounting in Long Term Planning; 5.1 Introduction; 5.2 Ethical Goals and Constraints; 5.2.1 Spatio-Temporal Heterogeneities; 5.2.2 Multiagent Aspects; 5.2.3 Safety Constraints; 5.2.4 Discounting |
| 505 | 8 | 0 | |a 5.2.5 Assessment vs. Robust Solutions5.3 Flood Management Model; 5.4 Case Study; 5.4.1 Discounting and Robust Decisions; 5.5 Risk Communication, Public Perception and Participation; 5.5.1 Intertemporal Inconsistency of Discounting; 5.5.2 Commitment to Actions; 5.6 Some Conclusions for Policy Evaluations; References; Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk; Chapter 6: Modeling Aggregate Economic Risk: An Introduction; 6.1 Disasters and Economic Development: The Empirical Evidence; 6.2 Modeling Macroeconomic Impacts of Disasters |
| 505 | 8 | 0 | |a 6.3 Modeling Disaster Risk Explicitly |
| 505 | 8 | 0 | |a Preface -- PART I. Integrated Modeling for Informing Risk Management Policies -- 1. Integrated Modeling for Informing Risk Management Policies: An Introduction -- 2. Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna -- 3. Modeling Catastrophe Risk for Designing Insurance Systems -- 4. Handling Multiple Criteria in Flood Risk Management -- 5. Dams and Catastrophe Risk: Discounting in Long-Term Planning -- PART II. Disasters and Growth: Modeling and Managing Country-wide Catastrophe Risk -- 6. Modeling Aggregate Economic Risk: An Introduction -- 7. Catastrophe Risk and Economic Growth -- 8. Modeling Macro-scale Disaster Risk: The CATSIM Model -- 9. Managing Indirect Economic Consequences of Disaster Risk: The Case of Nepal -- PART III. Tisza River Basin in Hungary: Flood Risk Management, Multi-Stakeholder Processes and Conflict Resolution -- 10. Catastrophe Models and Policy Processes: Managing flood Risk in the Hungarian Tisza river basin. An introduction -- 11. Social Indicators of Vulnerability to Floods: An Empirical Case Study in Two Upper Tisza Flood Basins -- 12. Designing a Flood Management and Insurance System in Hungary: A Model-Based Stakeholder Approach -- 13. Consensus by Simulation: A Flood Model for Participatory Policy -- 14. A Risk-Based Decision Analytic Approach to Assessing Multi-Stakeholder Policy Problems -- 15. Optimizing Public Private Risk Transfer Systems for Flood Risk Management in the Upper River Tisza -- 16. Flood Risk in a Changing Climate: A Multilevel approach for Risk Management -- Index. |
| 520 | |a 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 strategies; and applications are shown for selected South Asian countries. The book is addressed both to researchers and to organizations involved with catastrophe risk management and risk mitigation policies. | ||
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Integrated Catastrophe RiskModeling; Preface; Contents; Part I: Integrated Modeling for Informing Risk Management Policies; Chapter 1: Catastrophe Models for Informing Risk Management Policy: An Introduction; 1.1 Scope; 1.2 Risk Management and Systems Analysis; 1.3 Catastrophe Models; 1.4 Catastrophe Models As Decision and Policy Support; 1.5 Book Overview; 1.5.1 Part I: Catastrophe Models for Informing Risk Management Policy; 1.5.2 Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk 1.5.3 Part III: Tisza River Basin in Hungary: Flood Risk Management, Multi-stakeholder Processes and Conflict Resolution1.6 Part I: Catastrophe Models for Informing Risk Management Policy; 1.6.1 Introduction; 1.6.2 Chapter Descriptions; References; Chapter 2: Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna; 2.1 Introduction; 2.2 Concepts of Risk; 2.3 Aleatory Uncertainty, Epistemic Uncertainty, and Risk Curves; 2.4 Flash Floods in Vienna and Its Subway System; 2.5 Stochastic Optimization (STO) Model; 2.6 Risk Management Measures and Integrated Modeling 2.7 Summary of the Results2.8 Some Conclusions; References; Chapter 3: Modeling Catastrophe Risk for Designing Insurance Systems; 3.1 Introduction; 3.2 The Standard Insurance Risk Model; 3.3 Overview of Case Studies; 3.4 Stochastic Optimization (STO) Model; 3.5 Insolvency, Stopping Time, and Nonsmooth Risk Functions; 3.6 The Tuscany Region Case Study; 3.7 The Solution Procedure; 3.8 Conclusions; References; Chapter 4: Multiple Criteria Decision Making for Flood Risk Management; 4.1 Introduction and Background; 4.2 The Framework; 4.3 The Simulation Model; 4.4 Policy Strategies 4.5 A Decision Analytical Tool4.6 Adding Different Perspectives; 4.7 Case Study: Area and Setting; 4.8 Criteria; 4.9 Strategies; 4.10 Analysis of Strategies; 4.10.1 The Decision Tree; 4.10.2 Comparing Stakeholders; 4.10.3 Weighting All Stakeholders Equally; 4.10.4 Pareto Optimal Solution; 4.11 Concluding Remarks; References; Chapter 5: Dams and Catastrophe Risk: Discounting in Long Term Planning; 5.1 Introduction; 5.2 Ethical Goals and Constraints; 5.2.1 Spatio-Temporal Heterogeneities; 5.2.2 Multiagent Aspects; 5.2.3 Safety Constraints; 5.2.4 Discounting 5.2.5 Assessment vs. Robust Solutions5.3 Flood Management Model; 5.4 Case Study; 5.4.1 Discounting and Robust Decisions; 5.5 Risk Communication, Public Perception and Participation; 5.5.1 Intertemporal Inconsistency of Discounting; 5.5.2 Commitment to Actions; 5.6 Some Conclusions for Policy Evaluations; References; Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk; Chapter 6: Modeling Aggregate Economic Risk: An Introduction; 6.1 Disasters and Economic Development: The Empirical Evidence; 6.2 Modeling Macroeconomic Impacts of Disasters 6.3 Modeling Disaster Risk Explicitly Preface -- PART I. Integrated Modeling for Informing Risk Management Policies -- 1. Integrated Modeling for Informing Risk Management Policies: An Introduction -- 2. Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna -- 3. Modeling Catastrophe Risk for Designing Insurance Systems -- 4. Handling Multiple Criteria in Flood Risk Management -- 5. Dams and Catastrophe Risk: Discounting in Long-Term Planning -- PART II. Disasters and Growth: Modeling and Managing Country-wide Catastrophe Risk -- 6. Modeling Aggregate Economic Risk: An Introduction -- 7. Catastrophe Risk and Economic Growth -- 8. Modeling Macro-scale Disaster Risk: The CATSIM Model -- 9. Managing Indirect Economic Consequences of Disaster Risk: The Case of Nepal -- PART III. Tisza River Basin in Hungary: Flood Risk Management, Multi-Stakeholder Processes and Conflict Resolution -- 10. Catastrophe Models and Policy Processes: Managing flood Risk in the Hungarian Tisza river basin. An introduction -- 11. Social Indicators of Vulnerability to Floods: An Empirical Case Study in Two Upper Tisza Flood Basins -- 12. Designing a Flood Management and Insurance System in Hungary: A Model-Based Stakeholder Approach -- 13. Consensus by Simulation: A Flood Model for Participatory Policy -- 14. A Risk-Based Decision Analytic Approach to Assessing Multi-Stakeholder Policy Problems -- 15. Optimizing Public Private Risk Transfer Systems for Flood Risk Management in the Upper River Tisza -- 16. Flood Risk in a Changing Climate: A Multilevel approach for Risk Management -- Index. |
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Integrated Catastrophe RiskModeling; Preface; Contents; Part I: Integrated Modeling for Informing Risk Management Policies; Chapter 1: Catastrophe Models for Informing Risk Management Policy: An Introduction; 1.1 Scope; 1.2 Risk Management and Systems Analysis; 1.3 Catastrophe Models; 1.4 Catastrophe Models As Decision and Policy Support; 1.5 Book Overview; 1.5.1 Part I: Catastrophe Models for Informing Risk Management Policy; 1.5.2 Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk 1.5.3 Part III: Tisza River Basin in Hungary: Flood Risk Management, Multi-stakeholder Processes and Conflict Resolution1.6 Part I: Catastrophe Models for Informing Risk Management Policy; 1.6.1 Introduction; 1.6.2 Chapter Descriptions; References; Chapter 2: Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna; 2.1 Introduction; 2.2 Concepts of Risk; 2.3 Aleatory Uncertainty, Epistemic Uncertainty, and Risk Curves; 2.4 Flash Floods in Vienna and Its Subway System; 2.5 Stochastic Optimization (STO) Model; 2.6 Risk Management Measures and Integrated Modeling 2.7 Summary of the Results2.8 Some Conclusions; References; Chapter 3: Modeling Catastrophe Risk for Designing Insurance Systems; 3.1 Introduction; 3.2 The Standard Insurance Risk Model; 3.3 Overview of Case Studies; 3.4 Stochastic Optimization (STO) Model; 3.5 Insolvency, Stopping Time, and Nonsmooth Risk Functions; 3.6 The Tuscany Region Case Study; 3.7 The Solution Procedure; 3.8 Conclusions; References; Chapter 4: Multiple Criteria Decision Making for Flood Risk Management; 4.1 Introduction and Background; 4.2 The Framework; 4.3 The Simulation Model; 4.4 Policy Strategies 4.5 A Decision Analytical Tool4.6 Adding Different Perspectives; 4.7 Case Study: Area and Setting; 4.8 Criteria; 4.9 Strategies; 4.10 Analysis of Strategies; 4.10.1 The Decision Tree; 4.10.2 Comparing Stakeholders; 4.10.3 Weighting All Stakeholders Equally; 4.10.4 Pareto Optimal Solution; 4.11 Concluding Remarks; References; Chapter 5: Dams and Catastrophe Risk: Discounting in Long Term Planning; 5.1 Introduction; 5.2 Ethical Goals and Constraints; 5.2.1 Spatio-Temporal Heterogeneities; 5.2.2 Multiagent Aspects; 5.2.3 Safety Constraints; 5.2.4 Discounting 5.2.5 Assessment vs. Robust Solutions5.3 Flood Management Model; 5.4 Case Study; 5.4.1 Discounting and Robust Decisions; 5.5 Risk Communication, Public Perception and Participation; 5.5.1 Intertemporal Inconsistency of Discounting; 5.5.2 Commitment to Actions; 5.6 Some Conclusions for Policy Evaluations; References; Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk; Chapter 6: Modeling Aggregate Economic Risk: An Introduction; 6.1 Disasters and Economic Development: The Empirical Evidence; 6.2 Modeling Macroeconomic Impacts of Disasters 6.3 Modeling Disaster Risk Explicitly Preface -- PART I. Integrated Modeling for Informing Risk Management Policies -- 1. Integrated Modeling for Informing Risk Management Policies: An Introduction -- 2. Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna -- 3. Modeling Catastrophe Risk for Designing Insurance Systems -- 4. Handling Multiple Criteria in Flood Risk Management -- 5. Dams and Catastrophe Risk: Discounting in Long-Term Planning -- PART II. Disasters and Growth: Modeling and Managing Country-wide Catastrophe Risk -- 6. Modeling Aggregate Economic Risk: An Introduction -- 7. Catastrophe Risk and Economic Growth -- 8. Modeling Macro-scale Disaster Risk: The CATSIM Model -- 9. Managing Indirect Economic Consequences of Disaster Risk: The Case of Nepal -- PART III. Tisza River Basin in Hungary: Flood Risk Management, Multi-Stakeholder Processes and Conflict Resolution -- 10. Catastrophe Models and Policy Processes: Managing flood Risk in the Hungarian Tisza river basin. An introduction -- 11. Social Indicators of Vulnerability to Floods: An Empirical Case Study in Two Upper Tisza Flood Basins -- 12. Designing a Flood Management and Insurance System in Hungary: A Model-Based Stakeholder Approach -- 13. Consensus by Simulation: A Flood Model for Participatory Policy -- 14. A Risk-Based Decision Analytic Approach to Assessing Multi-Stakeholder Policy Problems -- 15. Optimizing Public Private Risk Transfer Systems for Flood Risk Management in the Upper River Tisza -- 16. Flood Risk in a Changing Climate: A Multilevel approach for Risk Management -- Index. Amendola, Aniello misc GB5000-5030 rvk RB 10121 misc Geography misc Geology misc Distribution (Probability theory) misc System safety misc Sustainable development misc Economics misc Earth Sciences gnd Naturkatastrophe gnd Modellierung gnd Risikomanagement 2027 ebook Integrated Catastrophe Risk Modeling Supporting Policy Processes |
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Integrated Catastrophe Risk Modeling Supporting Policy Processes edited by Aniello Amendola, Tatiana Ermolieva, Joanne Linnerooth-Bayer, Reinhard Mechler |
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Integrated Catastrophe Risk Modeling Supporting Policy Processes |
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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 strategies; and applications are shown for selected South Asian countries. The book is addressed both to researchers and to organizations involved with catastrophe risk management and risk mitigation policies. Description based upon print version of record |
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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 strategies; and applications are shown for selected South Asian countries. The book is addressed both to researchers and to organizations involved with catastrophe risk management and risk mitigation policies. Description based upon print version of record |
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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 strategies; and applications are shown for selected South Asian countries. The book is addressed both to researchers and to organizations involved with catastrophe risk management and risk mitigation policies. Description based upon print version of record |
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9789400722262 978-94-007-2226-2 10.1007/978-94-007-2226-2 doi (DE-627)1651965919 (DE-576)377593214 (DE-599)BSZ377593214 (OCoLC)827054233 (DE-He213)978-94-007-2226-2 DE-627 ger DE-627 rakwb eng XA-NL GB5000-5030 RNR bicssc NAT023000 bisacsh RB 10121 BVB rvk (DE-625)rvk/142220:12623 Amendola, Aniello verfasserin aut Integrated Catastrophe Risk Modeling Supporting Policy Processes edited by Aniello Amendola, Tatiana Ermolieva, Joanne Linnerooth-Bayer, Reinhard Mechler Dordrecht Springer 2013 Online-Ressource (X, 287 p. 82 illus., 52 illus. in color, digital) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Advances in Natural and Technological Hazards Research 32 SpringerLink Bücher Description based upon print version of record Integrated Catastrophe RiskModeling; Preface; Contents; Part I: Integrated Modeling for Informing Risk Management Policies; Chapter 1: Catastrophe Models for Informing Risk Management Policy: An Introduction; 1.1 Scope; 1.2 Risk Management and Systems Analysis; 1.3 Catastrophe Models; 1.4 Catastrophe Models As Decision and Policy Support; 1.5 Book Overview; 1.5.1 Part I: Catastrophe Models for Informing Risk Management Policy; 1.5.2 Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk 1.5.3 Part III: Tisza River Basin in Hungary: Flood Risk Management, Multi-stakeholder Processes and Conflict Resolution1.6 Part I: Catastrophe Models for Informing Risk Management Policy; 1.6.1 Introduction; 1.6.2 Chapter Descriptions; References; Chapter 2: Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna; 2.1 Introduction; 2.2 Concepts of Risk; 2.3 Aleatory Uncertainty, Epistemic Uncertainty, and Risk Curves; 2.4 Flash Floods in Vienna and Its Subway System; 2.5 Stochastic Optimization (STO) Model; 2.6 Risk Management Measures and Integrated Modeling 2.7 Summary of the Results2.8 Some Conclusions; References; Chapter 3: Modeling Catastrophe Risk for Designing Insurance Systems; 3.1 Introduction; 3.2 The Standard Insurance Risk Model; 3.3 Overview of Case Studies; 3.4 Stochastic Optimization (STO) Model; 3.5 Insolvency, Stopping Time, and Nonsmooth Risk Functions; 3.6 The Tuscany Region Case Study; 3.7 The Solution Procedure; 3.8 Conclusions; References; Chapter 4: Multiple Criteria Decision Making for Flood Risk Management; 4.1 Introduction and Background; 4.2 The Framework; 4.3 The Simulation Model; 4.4 Policy Strategies 4.5 A Decision Analytical Tool4.6 Adding Different Perspectives; 4.7 Case Study: Area and Setting; 4.8 Criteria; 4.9 Strategies; 4.10 Analysis of Strategies; 4.10.1 The Decision Tree; 4.10.2 Comparing Stakeholders; 4.10.3 Weighting All Stakeholders Equally; 4.10.4 Pareto Optimal Solution; 4.11 Concluding Remarks; References; Chapter 5: Dams and Catastrophe Risk: Discounting in Long Term Planning; 5.1 Introduction; 5.2 Ethical Goals and Constraints; 5.2.1 Spatio-Temporal Heterogeneities; 5.2.2 Multiagent Aspects; 5.2.3 Safety Constraints; 5.2.4 Discounting 5.2.5 Assessment vs. Robust Solutions5.3 Flood Management Model; 5.4 Case Study; 5.4.1 Discounting and Robust Decisions; 5.5 Risk Communication, Public Perception and Participation; 5.5.1 Intertemporal Inconsistency of Discounting; 5.5.2 Commitment to Actions; 5.6 Some Conclusions for Policy Evaluations; References; Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk; Chapter 6: Modeling Aggregate Economic Risk: An Introduction; 6.1 Disasters and Economic Development: The Empirical Evidence; 6.2 Modeling Macroeconomic Impacts of Disasters 6.3 Modeling Disaster Risk Explicitly Preface -- PART I. Integrated Modeling for Informing Risk Management Policies -- 1. Integrated Modeling for Informing Risk Management Policies: An Introduction -- 2. Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna -- 3. Modeling Catastrophe Risk for Designing Insurance Systems -- 4. Handling Multiple Criteria in Flood Risk Management -- 5. Dams and Catastrophe Risk: Discounting in Long-Term Planning -- PART II. Disasters and Growth: Modeling and Managing Country-wide Catastrophe Risk -- 6. Modeling Aggregate Economic Risk: An Introduction -- 7. Catastrophe Risk and Economic Growth -- 8. Modeling Macro-scale Disaster Risk: The CATSIM Model -- 9. Managing Indirect Economic Consequences of Disaster Risk: The Case of Nepal -- PART III. Tisza River Basin in Hungary: Flood Risk Management, Multi-Stakeholder Processes and Conflict Resolution -- 10. Catastrophe Models and Policy Processes: Managing flood Risk in the Hungarian Tisza river basin. An introduction -- 11. Social Indicators of Vulnerability to Floods: An Empirical Case Study in Two Upper Tisza Flood Basins -- 12. Designing a Flood Management and Insurance System in Hungary: A Model-Based Stakeholder Approach -- 13. Consensus by Simulation: A Flood Model for Participatory Policy -- 14. A Risk-Based Decision Analytic Approach to Assessing Multi-Stakeholder Policy Problems -- 15. Optimizing Public Private Risk Transfer Systems for Flood Risk Management in the Upper River Tisza -- 16. Flood Risk in a Changing Climate: A Multilevel approach for Risk Management -- Index. 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 strategies; and applications are shown for selected South Asian countries. The book is addressed both to researchers and to organizations involved with catastrophe risk management and risk mitigation policies. Geography Geology Distribution (Probability theory) System safety Sustainable development Economics Earth Sciences Geography Geology Distribution (Probability theory) System safety Sustainable development Economics s (DE-588)4041387-1 (DE-627)10475754X (DE-576)209044675 Naturkatastrophe gnd s (DE-588)4170297-9 (DE-627)105403466 (DE-576)209929170 Modellierung gnd s (DE-588)4121590-4 (DE-627)10444360X (DE-576)20954449X Risikomanagement gnd DE-101 Ermolieva, Tatiana oth Linnerooth-Bayer, Joanne (DE-627)1253919585 (DE-576)183919580 oth Mechler, Reinhard oth 9789400722255 Buchausg. u.d.T. 978-94-007-2225-5 https://doi.org/10.1007/978-94-007-2226-2 Verlag Volltext http://dx.doi.org/10.1007/978-94-007-2226-2 Resolving-System lizenzpflichtig Volltext https://swbplus.bsz-bw.de/bsz377593214cov.jpg V:DE-576 X:springer image/jpeg 20130404105438 Cover https://external.dandelon.com/download/attachments/dandelon/ids/CH0014F8D9EA679EAA7ADC1257C67003B740A.pdf V:DE-601 X:AGI pdf/application 2017-12-02 Verlag Inhaltsverzeichnis (DE-627)73328468X ZDB-2-EES 2013 GBV_ILN_40 ISIL_DE-7 SYSFLAG_1 GBV_KXP SSG-OPC-GGO GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_65 ISIL_DE-3 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2017 ISIL_DE-576 GBV_ILN_2027 ISIL_DE-105 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2061 ISIL_DE-520 GBV_ILN_2148 ISIL_DE-950 GBV ExPruef RB 10121 Allgemeine (oder dynamische) Geologie (Vulkanismus und Magmatismus, Erdbeben, Tektonik mit Epirogenese und Orogenese, Sedimentation, Verwitterung, Abtragung u.ä.) Geografie Nicht regional gebundene Darstellungen Allgemeine Geografie Hilfswissenschaften Geologie Allgemeine (oder dynamische) Geologie (Vulkanismus und Magmatismus, Erdbeben, Tektonik mit Epirogenese und Orogenese, Sedimentation, Verwitterung, Abtragung u.ä.) (DE-627)1270742426 (DE-625)rvk/142220:12623 (DE-576)200742426 BO 045F 551 40 01 0007 1350773735 OLR-SPRINGER-EES nl xsn 10-01-13 60 01 0705 135024466X SpringerLink Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung z 09-01-13 62 01 0028 135037900X OLR-SEB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. 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Zugriff von außerhalb nur für HCU-Angehörige möglich https://doi.org/10.1007/978-94-007-2226-2 2050 01 DE-Zi4 http://dx.doi.org/10.1007/978-94-007-2226-2 2061 01 DE-520 http://dx.doi.org/10.1007/978-94-007-2226-2 2148 01 DE-950 http://dx.doi.org/10.1007/978-94-007-2226-2 2027 01 DE-105 00 s ebook 120 00 DE-715 99 ww 285 00 DE-517 00 RB 10121 120 01 0715 2420225X 120 01 0715 YH 2020 40 01 0007 OLR-SPRINGER-EES 60 01 0705 SpringerLink 62 01 0028 OLR-SEB 62 01 0028 OLR-EES 65 01 0003 OLR-SEB-ZDB-2-EES 110 01 3110 OLR-SEB 120 01 0715 OLR-ESP 120 02 0715 alma 120 03 0715 alma 285 01 0517 OLR-ESP-EES 370 01 4370 olr-springer |
| spelling |
9789400722262 978-94-007-2226-2 10.1007/978-94-007-2226-2 doi (DE-627)1651965919 (DE-576)377593214 (DE-599)BSZ377593214 (OCoLC)827054233 (DE-He213)978-94-007-2226-2 DE-627 ger DE-627 rakwb eng XA-NL GB5000-5030 RNR bicssc NAT023000 bisacsh RB 10121 BVB rvk (DE-625)rvk/142220:12623 Amendola, Aniello verfasserin aut Integrated Catastrophe Risk Modeling Supporting Policy Processes edited by Aniello Amendola, Tatiana Ermolieva, Joanne Linnerooth-Bayer, Reinhard Mechler Dordrecht Springer 2013 Online-Ressource (X, 287 p. 82 illus., 52 illus. in color, digital) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Advances in Natural and Technological Hazards Research 32 SpringerLink Bücher Description based upon print version of record Integrated Catastrophe RiskModeling; Preface; Contents; Part I: Integrated Modeling for Informing Risk Management Policies; Chapter 1: Catastrophe Models for Informing Risk Management Policy: An Introduction; 1.1 Scope; 1.2 Risk Management and Systems Analysis; 1.3 Catastrophe Models; 1.4 Catastrophe Models As Decision and Policy Support; 1.5 Book Overview; 1.5.1 Part I: Catastrophe Models for Informing Risk Management Policy; 1.5.2 Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk 1.5.3 Part III: Tisza River Basin in Hungary: Flood Risk Management, Multi-stakeholder Processes and Conflict Resolution1.6 Part I: Catastrophe Models for Informing Risk Management Policy; 1.6.1 Introduction; 1.6.2 Chapter Descriptions; References; Chapter 2: Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna; 2.1 Introduction; 2.2 Concepts of Risk; 2.3 Aleatory Uncertainty, Epistemic Uncertainty, and Risk Curves; 2.4 Flash Floods in Vienna and Its Subway System; 2.5 Stochastic Optimization (STO) Model; 2.6 Risk Management Measures and Integrated Modeling 2.7 Summary of the Results2.8 Some Conclusions; References; Chapter 3: Modeling Catastrophe Risk for Designing Insurance Systems; 3.1 Introduction; 3.2 The Standard Insurance Risk Model; 3.3 Overview of Case Studies; 3.4 Stochastic Optimization (STO) Model; 3.5 Insolvency, Stopping Time, and Nonsmooth Risk Functions; 3.6 The Tuscany Region Case Study; 3.7 The Solution Procedure; 3.8 Conclusions; References; Chapter 4: Multiple Criteria Decision Making for Flood Risk Management; 4.1 Introduction and Background; 4.2 The Framework; 4.3 The Simulation Model; 4.4 Policy Strategies 4.5 A Decision Analytical Tool4.6 Adding Different Perspectives; 4.7 Case Study: Area and Setting; 4.8 Criteria; 4.9 Strategies; 4.10 Analysis of Strategies; 4.10.1 The Decision Tree; 4.10.2 Comparing Stakeholders; 4.10.3 Weighting All Stakeholders Equally; 4.10.4 Pareto Optimal Solution; 4.11 Concluding Remarks; References; Chapter 5: Dams and Catastrophe Risk: Discounting in Long Term Planning; 5.1 Introduction; 5.2 Ethical Goals and Constraints; 5.2.1 Spatio-Temporal Heterogeneities; 5.2.2 Multiagent Aspects; 5.2.3 Safety Constraints; 5.2.4 Discounting 5.2.5 Assessment vs. Robust Solutions5.3 Flood Management Model; 5.4 Case Study; 5.4.1 Discounting and Robust Decisions; 5.5 Risk Communication, Public Perception and Participation; 5.5.1 Intertemporal Inconsistency of Discounting; 5.5.2 Commitment to Actions; 5.6 Some Conclusions for Policy Evaluations; References; Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk; Chapter 6: Modeling Aggregate Economic Risk: An Introduction; 6.1 Disasters and Economic Development: The Empirical Evidence; 6.2 Modeling Macroeconomic Impacts of Disasters 6.3 Modeling Disaster Risk Explicitly Preface -- PART I. Integrated Modeling for Informing Risk Management Policies -- 1. Integrated Modeling for Informing Risk Management Policies: An Introduction -- 2. Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna -- 3. Modeling Catastrophe Risk for Designing Insurance Systems -- 4. Handling Multiple Criteria in Flood Risk Management -- 5. Dams and Catastrophe Risk: Discounting in Long-Term Planning -- PART II. Disasters and Growth: Modeling and Managing Country-wide Catastrophe Risk -- 6. Modeling Aggregate Economic Risk: An Introduction -- 7. Catastrophe Risk and Economic Growth -- 8. Modeling Macro-scale Disaster Risk: The CATSIM Model -- 9. Managing Indirect Economic Consequences of Disaster Risk: The Case of Nepal -- PART III. Tisza River Basin in Hungary: Flood Risk Management, Multi-Stakeholder Processes and Conflict Resolution -- 10. Catastrophe Models and Policy Processes: Managing flood Risk in the Hungarian Tisza river basin. An introduction -- 11. Social Indicators of Vulnerability to Floods: An Empirical Case Study in Two Upper Tisza Flood Basins -- 12. Designing a Flood Management and Insurance System in Hungary: A Model-Based Stakeholder Approach -- 13. Consensus by Simulation: A Flood Model for Participatory Policy -- 14. A Risk-Based Decision Analytic Approach to Assessing Multi-Stakeholder Policy Problems -- 15. Optimizing Public Private Risk Transfer Systems for Flood Risk Management in the Upper River Tisza -- 16. Flood Risk in a Changing Climate: A Multilevel approach for Risk Management -- Index. 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 strategies; and applications are shown for selected South Asian countries. The book is addressed both to researchers and to organizations involved with catastrophe risk management and risk mitigation policies. Geography Geology Distribution (Probability theory) System safety Sustainable development Economics Earth Sciences Geography Geology Distribution (Probability theory) System safety Sustainable development Economics s (DE-588)4041387-1 (DE-627)10475754X (DE-576)209044675 Naturkatastrophe gnd s (DE-588)4170297-9 (DE-627)105403466 (DE-576)209929170 Modellierung gnd s (DE-588)4121590-4 (DE-627)10444360X (DE-576)20954449X Risikomanagement gnd DE-101 Ermolieva, Tatiana oth Linnerooth-Bayer, Joanne (DE-627)1253919585 (DE-576)183919580 oth Mechler, Reinhard oth 9789400722255 Buchausg. u.d.T. 978-94-007-2225-5 https://doi.org/10.1007/978-94-007-2226-2 Verlag Volltext http://dx.doi.org/10.1007/978-94-007-2226-2 Resolving-System lizenzpflichtig Volltext https://swbplus.bsz-bw.de/bsz377593214cov.jpg V:DE-576 X:springer image/jpeg 20130404105438 Cover https://external.dandelon.com/download/attachments/dandelon/ids/CH0014F8D9EA679EAA7ADC1257C67003B740A.pdf V:DE-601 X:AGI pdf/application 2017-12-02 Verlag Inhaltsverzeichnis (DE-627)73328468X ZDB-2-EES 2013 GBV_ILN_40 ISIL_DE-7 SYSFLAG_1 GBV_KXP SSG-OPC-GGO GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_65 ISIL_DE-3 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2017 ISIL_DE-576 GBV_ILN_2027 ISIL_DE-105 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2061 ISIL_DE-520 GBV_ILN_2148 ISIL_DE-950 GBV ExPruef RB 10121 Allgemeine (oder dynamische) Geologie (Vulkanismus und Magmatismus, Erdbeben, Tektonik mit Epirogenese und Orogenese, Sedimentation, Verwitterung, Abtragung u.ä.) Geografie Nicht regional gebundene Darstellungen Allgemeine Geografie Hilfswissenschaften Geologie Allgemeine (oder dynamische) Geologie (Vulkanismus und Magmatismus, Erdbeben, Tektonik mit Epirogenese und Orogenese, Sedimentation, Verwitterung, Abtragung u.ä.) (DE-627)1270742426 (DE-625)rvk/142220:12623 (DE-576)200742426 BO 045F 551 40 01 0007 1350773735 OLR-SPRINGER-EES nl xsn 10-01-13 60 01 0705 135024466X SpringerLink Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung z 09-01-13 62 01 0028 135037900X OLR-SEB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 09-01-13 65 01 0003 1655669958 03 --%%-- ebook --%%-- --%%-- OLR-SEB-ZDB-2-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. k3o 02-01-17 110 01 3110 4305028387 00 --%%-- --%%-- s --%%-- OLR-SEB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 07-04-23 120 01 0715 1350354856 OLR-ESP Campusweiter Zugriff (Universität Oldenburg). - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden. z 09-01-13 120 02 0715 1752293533 00 --%%-- --%%-- g --%%-- alma ww z 22-02-18 120 03 0715 3578141089 00 --%%-- --%%-- g --%%-- alma ww z 21-01-20 285 01 0517 1350369551 00 --%%-- --%%-- s --%%-- OLR-ESP-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 09-01-13 370 01 4370 1350208361 olr-springer Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 09-01-13 2017 01 DE-576 3355525715 00 --%%-- --%%-- --%%-- n Besitznachweis BSZ nur für Dateneinspielung, keine echte Lizenz vorhanden l01 11-12-12 2027 01 DE-105 3355525723 00 --%%-- --%%-- n --%%-- Campuslizenz l01 11-12-12 2050 01 DE-Zi4 335552574X 00 --%%-- --%%-- n --%%-- Elektronischer Volltext - Campuslizenz l01 11-12-12 2061 01 DE-520 3355525758 00 --%%-- eBook Springer n --%%-- eBook, Volltext nur im Campusnetz l01 11-12-12 2148 01 DE-950 3355525774 00 --%%-- eBook Springer --%%-- n Elektronischer Volltext - Campuslizenz l01 15-01-13 40 01 0007 Volltext, Campuszugriff http://dx.doi.org/10.1007/978-94-007-2226-2 40 01 0007 Volltext, Externer Zugriff http://han.sub.uni-goettingen.de/han/Springer-eBook-EarthEnvironmentalScience/dx.doi.org/10.1007/978-94-007-2226-2 40 01 0007 Dieser Titel ist Teil einer Datenbank http://www.bibliothek.uni-regensburg.de/dbinfo/frontdoor.php?titel_id=10159&bibid=SUBGO 60 01 0705 Volltextzugang Campus https://doi.org/10.1007/978-94-007-2226-2 62 01 0028 https://doi.org/10.1007/978-94-007-2226-2 65 01 0003 Volltextzugang Campus https://doi.org/10.1007/978-94-007-2226-2 110 01 3110 https://doi.org/10.1007/978-94-007-2226-2 120 01 0715 http://dx.doi.org/10.1007/978-94-007-2226-2 120 02 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991016133314803501 120 03 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991016133314803501 285 01 0517 E-books (Springer) https://doi.org/10.1007/978-94-007-2226-2 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://doi.org/10.1007/978-94-007-2226-2 2050 01 DE-Zi4 http://dx.doi.org/10.1007/978-94-007-2226-2 2061 01 DE-520 http://dx.doi.org/10.1007/978-94-007-2226-2 2148 01 DE-950 http://dx.doi.org/10.1007/978-94-007-2226-2 2027 01 DE-105 00 s ebook 120 00 DE-715 99 ww 285 00 DE-517 00 RB 10121 120 01 0715 2420225X 120 01 0715 YH 2020 40 01 0007 OLR-SPRINGER-EES 60 01 0705 SpringerLink 62 01 0028 OLR-SEB 62 01 0028 OLR-EES 65 01 0003 OLR-SEB-ZDB-2-EES 110 01 3110 OLR-SEB 120 01 0715 OLR-ESP 120 02 0715 alma 120 03 0715 alma 285 01 0517 OLR-ESP-EES 370 01 4370 olr-springer |
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9789400722262 978-94-007-2226-2 10.1007/978-94-007-2226-2 doi (DE-627)1651965919 (DE-576)377593214 (DE-599)BSZ377593214 (OCoLC)827054233 (DE-He213)978-94-007-2226-2 DE-627 ger DE-627 rakwb eng XA-NL GB5000-5030 RNR bicssc NAT023000 bisacsh RB 10121 BVB rvk (DE-625)rvk/142220:12623 Amendola, Aniello verfasserin aut Integrated Catastrophe Risk Modeling Supporting Policy Processes edited by Aniello Amendola, Tatiana Ermolieva, Joanne Linnerooth-Bayer, Reinhard Mechler Dordrecht Springer 2013 Online-Ressource (X, 287 p. 82 illus., 52 illus. in color, digital) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Advances in Natural and Technological Hazards Research 32 SpringerLink Bücher Description based upon print version of record Integrated Catastrophe RiskModeling; Preface; Contents; Part I: Integrated Modeling for Informing Risk Management Policies; Chapter 1: Catastrophe Models for Informing Risk Management Policy: An Introduction; 1.1 Scope; 1.2 Risk Management and Systems Analysis; 1.3 Catastrophe Models; 1.4 Catastrophe Models As Decision and Policy Support; 1.5 Book Overview; 1.5.1 Part I: Catastrophe Models for Informing Risk Management Policy; 1.5.2 Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk 1.5.3 Part III: Tisza River Basin in Hungary: Flood Risk Management, Multi-stakeholder Processes and Conflict Resolution1.6 Part I: Catastrophe Models for Informing Risk Management Policy; 1.6.1 Introduction; 1.6.2 Chapter Descriptions; References; Chapter 2: Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna; 2.1 Introduction; 2.2 Concepts of Risk; 2.3 Aleatory Uncertainty, Epistemic Uncertainty, and Risk Curves; 2.4 Flash Floods in Vienna and Its Subway System; 2.5 Stochastic Optimization (STO) Model; 2.6 Risk Management Measures and Integrated Modeling 2.7 Summary of the Results2.8 Some Conclusions; References; Chapter 3: Modeling Catastrophe Risk for Designing Insurance Systems; 3.1 Introduction; 3.2 The Standard Insurance Risk Model; 3.3 Overview of Case Studies; 3.4 Stochastic Optimization (STO) Model; 3.5 Insolvency, Stopping Time, and Nonsmooth Risk Functions; 3.6 The Tuscany Region Case Study; 3.7 The Solution Procedure; 3.8 Conclusions; References; Chapter 4: Multiple Criteria Decision Making for Flood Risk Management; 4.1 Introduction and Background; 4.2 The Framework; 4.3 The Simulation Model; 4.4 Policy Strategies 4.5 A Decision Analytical Tool4.6 Adding Different Perspectives; 4.7 Case Study: Area and Setting; 4.8 Criteria; 4.9 Strategies; 4.10 Analysis of Strategies; 4.10.1 The Decision Tree; 4.10.2 Comparing Stakeholders; 4.10.3 Weighting All Stakeholders Equally; 4.10.4 Pareto Optimal Solution; 4.11 Concluding Remarks; References; Chapter 5: Dams and Catastrophe Risk: Discounting in Long Term Planning; 5.1 Introduction; 5.2 Ethical Goals and Constraints; 5.2.1 Spatio-Temporal Heterogeneities; 5.2.2 Multiagent Aspects; 5.2.3 Safety Constraints; 5.2.4 Discounting 5.2.5 Assessment vs. Robust Solutions5.3 Flood Management Model; 5.4 Case Study; 5.4.1 Discounting and Robust Decisions; 5.5 Risk Communication, Public Perception and Participation; 5.5.1 Intertemporal Inconsistency of Discounting; 5.5.2 Commitment to Actions; 5.6 Some Conclusions for Policy Evaluations; References; Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk; Chapter 6: Modeling Aggregate Economic Risk: An Introduction; 6.1 Disasters and Economic Development: The Empirical Evidence; 6.2 Modeling Macroeconomic Impacts of Disasters 6.3 Modeling Disaster Risk Explicitly Preface -- PART I. Integrated Modeling for Informing Risk Management Policies -- 1. Integrated Modeling for Informing Risk Management Policies: An Introduction -- 2. Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna -- 3. Modeling Catastrophe Risk for Designing Insurance Systems -- 4. Handling Multiple Criteria in Flood Risk Management -- 5. Dams and Catastrophe Risk: Discounting in Long-Term Planning -- PART II. Disasters and Growth: Modeling and Managing Country-wide Catastrophe Risk -- 6. Modeling Aggregate Economic Risk: An Introduction -- 7. Catastrophe Risk and Economic Growth -- 8. Modeling Macro-scale Disaster Risk: The CATSIM Model -- 9. Managing Indirect Economic Consequences of Disaster Risk: The Case of Nepal -- PART III. Tisza River Basin in Hungary: Flood Risk Management, Multi-Stakeholder Processes and Conflict Resolution -- 10. Catastrophe Models and Policy Processes: Managing flood Risk in the Hungarian Tisza river basin. An introduction -- 11. Social Indicators of Vulnerability to Floods: An Empirical Case Study in Two Upper Tisza Flood Basins -- 12. Designing a Flood Management and Insurance System in Hungary: A Model-Based Stakeholder Approach -- 13. Consensus by Simulation: A Flood Model for Participatory Policy -- 14. A Risk-Based Decision Analytic Approach to Assessing Multi-Stakeholder Policy Problems -- 15. Optimizing Public Private Risk Transfer Systems for Flood Risk Management in the Upper River Tisza -- 16. Flood Risk in a Changing Climate: A Multilevel approach for Risk Management -- Index. 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 strategies; and applications are shown for selected South Asian countries. The book is addressed both to researchers and to organizations involved with catastrophe risk management and risk mitigation policies. Geography Geology Distribution (Probability theory) System safety Sustainable development Economics Earth Sciences Geography Geology Distribution (Probability theory) System safety Sustainable development Economics s (DE-588)4041387-1 (DE-627)10475754X (DE-576)209044675 Naturkatastrophe gnd s (DE-588)4170297-9 (DE-627)105403466 (DE-576)209929170 Modellierung gnd s (DE-588)4121590-4 (DE-627)10444360X (DE-576)20954449X Risikomanagement gnd DE-101 Ermolieva, Tatiana oth Linnerooth-Bayer, Joanne (DE-627)1253919585 (DE-576)183919580 oth Mechler, Reinhard oth 9789400722255 Buchausg. u.d.T. 978-94-007-2225-5 https://doi.org/10.1007/978-94-007-2226-2 Verlag Volltext http://dx.doi.org/10.1007/978-94-007-2226-2 Resolving-System lizenzpflichtig Volltext https://swbplus.bsz-bw.de/bsz377593214cov.jpg V:DE-576 X:springer image/jpeg 20130404105438 Cover https://external.dandelon.com/download/attachments/dandelon/ids/CH0014F8D9EA679EAA7ADC1257C67003B740A.pdf V:DE-601 X:AGI pdf/application 2017-12-02 Verlag Inhaltsverzeichnis (DE-627)73328468X ZDB-2-EES 2013 GBV_ILN_40 ISIL_DE-7 SYSFLAG_1 GBV_KXP SSG-OPC-GGO GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_65 ISIL_DE-3 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2017 ISIL_DE-576 GBV_ILN_2027 ISIL_DE-105 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2061 ISIL_DE-520 GBV_ILN_2148 ISIL_DE-950 GBV ExPruef RB 10121 Allgemeine (oder dynamische) Geologie (Vulkanismus und Magmatismus, Erdbeben, Tektonik mit Epirogenese und Orogenese, Sedimentation, Verwitterung, Abtragung u.ä.) Geografie Nicht regional gebundene Darstellungen Allgemeine Geografie Hilfswissenschaften Geologie Allgemeine (oder dynamische) Geologie (Vulkanismus und Magmatismus, Erdbeben, Tektonik mit Epirogenese und Orogenese, Sedimentation, Verwitterung, Abtragung u.ä.) (DE-627)1270742426 (DE-625)rvk/142220:12623 (DE-576)200742426 BO 045F 551 40 01 0007 1350773735 OLR-SPRINGER-EES nl xsn 10-01-13 60 01 0705 135024466X SpringerLink Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung z 09-01-13 62 01 0028 135037900X OLR-SEB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. 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Kein systematisches Downloaden. z 09-01-13 120 02 0715 1752293533 00 --%%-- --%%-- g --%%-- alma ww z 22-02-18 120 03 0715 3578141089 00 --%%-- --%%-- g --%%-- alma ww z 21-01-20 285 01 0517 1350369551 00 --%%-- --%%-- s --%%-- OLR-ESP-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 09-01-13 370 01 4370 1350208361 olr-springer Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 09-01-13 2017 01 DE-576 3355525715 00 --%%-- --%%-- --%%-- n Besitznachweis BSZ nur für Dateneinspielung, keine echte Lizenz vorhanden l01 11-12-12 2027 01 DE-105 3355525723 00 --%%-- --%%-- n --%%-- Campuslizenz l01 11-12-12 2050 01 DE-Zi4 335552574X 00 --%%-- --%%-- n --%%-- Elektronischer Volltext - Campuslizenz l01 11-12-12 2061 01 DE-520 3355525758 00 --%%-- eBook Springer n --%%-- eBook, Volltext nur im Campusnetz l01 11-12-12 2148 01 DE-950 3355525774 00 --%%-- eBook Springer --%%-- n Elektronischer Volltext - Campuslizenz l01 15-01-13 40 01 0007 Volltext, Campuszugriff http://dx.doi.org/10.1007/978-94-007-2226-2 40 01 0007 Volltext, Externer Zugriff http://han.sub.uni-goettingen.de/han/Springer-eBook-EarthEnvironmentalScience/dx.doi.org/10.1007/978-94-007-2226-2 40 01 0007 Dieser Titel ist Teil einer Datenbank http://www.bibliothek.uni-regensburg.de/dbinfo/frontdoor.php?titel_id=10159&bibid=SUBGO 60 01 0705 Volltextzugang Campus https://doi.org/10.1007/978-94-007-2226-2 62 01 0028 https://doi.org/10.1007/978-94-007-2226-2 65 01 0003 Volltextzugang Campus https://doi.org/10.1007/978-94-007-2226-2 110 01 3110 https://doi.org/10.1007/978-94-007-2226-2 120 01 0715 http://dx.doi.org/10.1007/978-94-007-2226-2 120 02 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991016133314803501 120 03 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991016133314803501 285 01 0517 E-books (Springer) https://doi.org/10.1007/978-94-007-2226-2 370 01 4370 E-Book: Zugriff im HCU-Netz. 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9789400722262 978-94-007-2226-2 10.1007/978-94-007-2226-2 doi (DE-627)1651965919 (DE-576)377593214 (DE-599)BSZ377593214 (OCoLC)827054233 (DE-He213)978-94-007-2226-2 DE-627 ger DE-627 rakwb eng XA-NL GB5000-5030 RNR bicssc NAT023000 bisacsh RB 10121 BVB rvk (DE-625)rvk/142220:12623 Amendola, Aniello verfasserin aut Integrated Catastrophe Risk Modeling Supporting Policy Processes edited by Aniello Amendola, Tatiana Ermolieva, Joanne Linnerooth-Bayer, Reinhard Mechler Dordrecht Springer 2013 Online-Ressource (X, 287 p. 82 illus., 52 illus. in color, digital) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Advances in Natural and Technological Hazards Research 32 SpringerLink Bücher Description based upon print version of record Integrated Catastrophe RiskModeling; Preface; Contents; Part I: Integrated Modeling for Informing Risk Management Policies; Chapter 1: Catastrophe Models for Informing Risk Management Policy: An Introduction; 1.1 Scope; 1.2 Risk Management and Systems Analysis; 1.3 Catastrophe Models; 1.4 Catastrophe Models As Decision and Policy Support; 1.5 Book Overview; 1.5.1 Part I: Catastrophe Models for Informing Risk Management Policy; 1.5.2 Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk 1.5.3 Part III: Tisza River Basin in Hungary: Flood Risk Management, Multi-stakeholder Processes and Conflict Resolution1.6 Part I: Catastrophe Models for Informing Risk Management Policy; 1.6.1 Introduction; 1.6.2 Chapter Descriptions; References; Chapter 2: Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna; 2.1 Introduction; 2.2 Concepts of Risk; 2.3 Aleatory Uncertainty, Epistemic Uncertainty, and Risk Curves; 2.4 Flash Floods in Vienna and Its Subway System; 2.5 Stochastic Optimization (STO) Model; 2.6 Risk Management Measures and Integrated Modeling 2.7 Summary of the Results2.8 Some Conclusions; References; Chapter 3: Modeling Catastrophe Risk for Designing Insurance Systems; 3.1 Introduction; 3.2 The Standard Insurance Risk Model; 3.3 Overview of Case Studies; 3.4 Stochastic Optimization (STO) Model; 3.5 Insolvency, Stopping Time, and Nonsmooth Risk Functions; 3.6 The Tuscany Region Case Study; 3.7 The Solution Procedure; 3.8 Conclusions; References; Chapter 4: Multiple Criteria Decision Making for Flood Risk Management; 4.1 Introduction and Background; 4.2 The Framework; 4.3 The Simulation Model; 4.4 Policy Strategies 4.5 A Decision Analytical Tool4.6 Adding Different Perspectives; 4.7 Case Study: Area and Setting; 4.8 Criteria; 4.9 Strategies; 4.10 Analysis of Strategies; 4.10.1 The Decision Tree; 4.10.2 Comparing Stakeholders; 4.10.3 Weighting All Stakeholders Equally; 4.10.4 Pareto Optimal Solution; 4.11 Concluding Remarks; References; Chapter 5: Dams and Catastrophe Risk: Discounting in Long Term Planning; 5.1 Introduction; 5.2 Ethical Goals and Constraints; 5.2.1 Spatio-Temporal Heterogeneities; 5.2.2 Multiagent Aspects; 5.2.3 Safety Constraints; 5.2.4 Discounting 5.2.5 Assessment vs. Robust Solutions5.3 Flood Management Model; 5.4 Case Study; 5.4.1 Discounting and Robust Decisions; 5.5 Risk Communication, Public Perception and Participation; 5.5.1 Intertemporal Inconsistency of Discounting; 5.5.2 Commitment to Actions; 5.6 Some Conclusions for Policy Evaluations; References; Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk; Chapter 6: Modeling Aggregate Economic Risk: An Introduction; 6.1 Disasters and Economic Development: The Empirical Evidence; 6.2 Modeling Macroeconomic Impacts of Disasters 6.3 Modeling Disaster Risk Explicitly Preface -- PART I. Integrated Modeling for Informing Risk Management Policies -- 1. Integrated Modeling for Informing Risk Management Policies: An Introduction -- 2. Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna -- 3. Modeling Catastrophe Risk for Designing Insurance Systems -- 4. Handling Multiple Criteria in Flood Risk Management -- 5. Dams and Catastrophe Risk: Discounting in Long-Term Planning -- PART II. Disasters and Growth: Modeling and Managing Country-wide Catastrophe Risk -- 6. Modeling Aggregate Economic Risk: An Introduction -- 7. Catastrophe Risk and Economic Growth -- 8. Modeling Macro-scale Disaster Risk: The CATSIM Model -- 9. Managing Indirect Economic Consequences of Disaster Risk: The Case of Nepal -- PART III. Tisza River Basin in Hungary: Flood Risk Management, Multi-Stakeholder Processes and Conflict Resolution -- 10. Catastrophe Models and Policy Processes: Managing flood Risk in the Hungarian Tisza river basin. An introduction -- 11. Social Indicators of Vulnerability to Floods: An Empirical Case Study in Two Upper Tisza Flood Basins -- 12. Designing a Flood Management and Insurance System in Hungary: A Model-Based Stakeholder Approach -- 13. Consensus by Simulation: A Flood Model for Participatory Policy -- 14. A Risk-Based Decision Analytic Approach to Assessing Multi-Stakeholder Policy Problems -- 15. Optimizing Public Private Risk Transfer Systems for Flood Risk Management in the Upper River Tisza -- 16. Flood Risk in a Changing Climate: A Multilevel approach for Risk Management -- Index. 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 strategies; and applications are shown for selected South Asian countries. The book is addressed both to researchers and to organizations involved with catastrophe risk management and risk mitigation policies. Geography Geology Distribution (Probability theory) System safety Sustainable development Economics Earth Sciences Geography Geology Distribution (Probability theory) System safety Sustainable development Economics s (DE-588)4041387-1 (DE-627)10475754X (DE-576)209044675 Naturkatastrophe gnd s (DE-588)4170297-9 (DE-627)105403466 (DE-576)209929170 Modellierung gnd s (DE-588)4121590-4 (DE-627)10444360X (DE-576)20954449X Risikomanagement gnd DE-101 Ermolieva, Tatiana oth Linnerooth-Bayer, Joanne (DE-627)1253919585 (DE-576)183919580 oth Mechler, Reinhard oth 9789400722255 Buchausg. u.d.T. 978-94-007-2225-5 https://doi.org/10.1007/978-94-007-2226-2 Verlag Volltext http://dx.doi.org/10.1007/978-94-007-2226-2 Resolving-System lizenzpflichtig Volltext https://swbplus.bsz-bw.de/bsz377593214cov.jpg V:DE-576 X:springer image/jpeg 20130404105438 Cover https://external.dandelon.com/download/attachments/dandelon/ids/CH0014F8D9EA679EAA7ADC1257C67003B740A.pdf V:DE-601 X:AGI pdf/application 2017-12-02 Verlag Inhaltsverzeichnis (DE-627)73328468X ZDB-2-EES 2013 GBV_ILN_40 ISIL_DE-7 SYSFLAG_1 GBV_KXP SSG-OPC-GGO GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_65 ISIL_DE-3 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2017 ISIL_DE-576 GBV_ILN_2027 ISIL_DE-105 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2061 ISIL_DE-520 GBV_ILN_2148 ISIL_DE-950 GBV ExPruef RB 10121 Allgemeine (oder dynamische) Geologie (Vulkanismus und Magmatismus, Erdbeben, Tektonik mit Epirogenese und Orogenese, Sedimentation, Verwitterung, Abtragung u.ä.) Geografie Nicht regional gebundene Darstellungen Allgemeine Geografie Hilfswissenschaften Geologie Allgemeine (oder dynamische) Geologie (Vulkanismus und Magmatismus, Erdbeben, Tektonik mit Epirogenese und Orogenese, Sedimentation, Verwitterung, Abtragung u.ä.) (DE-627)1270742426 (DE-625)rvk/142220:12623 (DE-576)200742426 BO 045F 551 40 01 0007 1350773735 OLR-SPRINGER-EES nl xsn 10-01-13 60 01 0705 135024466X SpringerLink Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung z 09-01-13 62 01 0028 135037900X OLR-SEB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 09-01-13 65 01 0003 1655669958 03 --%%-- ebook --%%-- --%%-- OLR-SEB-ZDB-2-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. k3o 02-01-17 110 01 3110 4305028387 00 --%%-- --%%-- s --%%-- OLR-SEB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 07-04-23 120 01 0715 1350354856 OLR-ESP Campusweiter Zugriff (Universität Oldenburg). - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden. z 09-01-13 120 02 0715 1752293533 00 --%%-- --%%-- g --%%-- alma ww z 22-02-18 120 03 0715 3578141089 00 --%%-- --%%-- g --%%-- alma ww z 21-01-20 285 01 0517 1350369551 00 --%%-- --%%-- s --%%-- OLR-ESP-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 09-01-13 370 01 4370 1350208361 olr-springer Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 09-01-13 2017 01 DE-576 3355525715 00 --%%-- --%%-- --%%-- n Besitznachweis BSZ nur für Dateneinspielung, keine echte Lizenz vorhanden l01 11-12-12 2027 01 DE-105 3355525723 00 --%%-- --%%-- n --%%-- Campuslizenz l01 11-12-12 2050 01 DE-Zi4 335552574X 00 --%%-- --%%-- n --%%-- Elektronischer Volltext - Campuslizenz l01 11-12-12 2061 01 DE-520 3355525758 00 --%%-- eBook Springer n --%%-- eBook, Volltext nur im Campusnetz l01 11-12-12 2148 01 DE-950 3355525774 00 --%%-- eBook Springer --%%-- n Elektronischer Volltext - Campuslizenz l01 15-01-13 40 01 0007 Volltext, Campuszugriff http://dx.doi.org/10.1007/978-94-007-2226-2 40 01 0007 Volltext, Externer Zugriff http://han.sub.uni-goettingen.de/han/Springer-eBook-EarthEnvironmentalScience/dx.doi.org/10.1007/978-94-007-2226-2 40 01 0007 Dieser Titel ist Teil einer Datenbank http://www.bibliothek.uni-regensburg.de/dbinfo/frontdoor.php?titel_id=10159&bibid=SUBGO 60 01 0705 Volltextzugang Campus https://doi.org/10.1007/978-94-007-2226-2 62 01 0028 https://doi.org/10.1007/978-94-007-2226-2 65 01 0003 Volltextzugang Campus https://doi.org/10.1007/978-94-007-2226-2 110 01 3110 https://doi.org/10.1007/978-94-007-2226-2 120 01 0715 http://dx.doi.org/10.1007/978-94-007-2226-2 120 02 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991016133314803501 120 03 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991016133314803501 285 01 0517 E-books (Springer) https://doi.org/10.1007/978-94-007-2226-2 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://doi.org/10.1007/978-94-007-2226-2 2050 01 DE-Zi4 http://dx.doi.org/10.1007/978-94-007-2226-2 2061 01 DE-520 http://dx.doi.org/10.1007/978-94-007-2226-2 2148 01 DE-950 http://dx.doi.org/10.1007/978-94-007-2226-2 2027 01 DE-105 00 s ebook 120 00 DE-715 99 ww 285 00 DE-517 00 RB 10121 120 01 0715 2420225X 120 01 0715 YH 2020 40 01 0007 OLR-SPRINGER-EES 60 01 0705 SpringerLink 62 01 0028 OLR-SEB 62 01 0028 OLR-EES 65 01 0003 OLR-SEB-ZDB-2-EES 110 01 3110 OLR-SEB 120 01 0715 OLR-ESP 120 02 0715 alma 120 03 0715 alma 285 01 0517 OLR-ESP-EES 370 01 4370 olr-springer |
| allfieldsSound |
9789400722262 978-94-007-2226-2 10.1007/978-94-007-2226-2 doi (DE-627)1651965919 (DE-576)377593214 (DE-599)BSZ377593214 (OCoLC)827054233 (DE-He213)978-94-007-2226-2 DE-627 ger DE-627 rakwb eng XA-NL GB5000-5030 RNR bicssc NAT023000 bisacsh RB 10121 BVB rvk (DE-625)rvk/142220:12623 Amendola, Aniello verfasserin aut Integrated Catastrophe Risk Modeling Supporting Policy Processes edited by Aniello Amendola, Tatiana Ermolieva, Joanne Linnerooth-Bayer, Reinhard Mechler Dordrecht Springer 2013 Online-Ressource (X, 287 p. 82 illus., 52 illus. in color, digital) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Advances in Natural and Technological Hazards Research 32 SpringerLink Bücher Description based upon print version of record Integrated Catastrophe RiskModeling; Preface; Contents; Part I: Integrated Modeling for Informing Risk Management Policies; Chapter 1: Catastrophe Models for Informing Risk Management Policy: An Introduction; 1.1 Scope; 1.2 Risk Management and Systems Analysis; 1.3 Catastrophe Models; 1.4 Catastrophe Models As Decision and Policy Support; 1.5 Book Overview; 1.5.1 Part I: Catastrophe Models for Informing Risk Management Policy; 1.5.2 Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk 1.5.3 Part III: Tisza River Basin in Hungary: Flood Risk Management, Multi-stakeholder Processes and Conflict Resolution1.6 Part I: Catastrophe Models for Informing Risk Management Policy; 1.6.1 Introduction; 1.6.2 Chapter Descriptions; References; Chapter 2: Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna; 2.1 Introduction; 2.2 Concepts of Risk; 2.3 Aleatory Uncertainty, Epistemic Uncertainty, and Risk Curves; 2.4 Flash Floods in Vienna and Its Subway System; 2.5 Stochastic Optimization (STO) Model; 2.6 Risk Management Measures and Integrated Modeling 2.7 Summary of the Results2.8 Some Conclusions; References; Chapter 3: Modeling Catastrophe Risk for Designing Insurance Systems; 3.1 Introduction; 3.2 The Standard Insurance Risk Model; 3.3 Overview of Case Studies; 3.4 Stochastic Optimization (STO) Model; 3.5 Insolvency, Stopping Time, and Nonsmooth Risk Functions; 3.6 The Tuscany Region Case Study; 3.7 The Solution Procedure; 3.8 Conclusions; References; Chapter 4: Multiple Criteria Decision Making for Flood Risk Management; 4.1 Introduction and Background; 4.2 The Framework; 4.3 The Simulation Model; 4.4 Policy Strategies 4.5 A Decision Analytical Tool4.6 Adding Different Perspectives; 4.7 Case Study: Area and Setting; 4.8 Criteria; 4.9 Strategies; 4.10 Analysis of Strategies; 4.10.1 The Decision Tree; 4.10.2 Comparing Stakeholders; 4.10.3 Weighting All Stakeholders Equally; 4.10.4 Pareto Optimal Solution; 4.11 Concluding Remarks; References; Chapter 5: Dams and Catastrophe Risk: Discounting in Long Term Planning; 5.1 Introduction; 5.2 Ethical Goals and Constraints; 5.2.1 Spatio-Temporal Heterogeneities; 5.2.2 Multiagent Aspects; 5.2.3 Safety Constraints; 5.2.4 Discounting 5.2.5 Assessment vs. Robust Solutions5.3 Flood Management Model; 5.4 Case Study; 5.4.1 Discounting and Robust Decisions; 5.5 Risk Communication, Public Perception and Participation; 5.5.1 Intertemporal Inconsistency of Discounting; 5.5.2 Commitment to Actions; 5.6 Some Conclusions for Policy Evaluations; References; Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk; Chapter 6: Modeling Aggregate Economic Risk: An Introduction; 6.1 Disasters and Economic Development: The Empirical Evidence; 6.2 Modeling Macroeconomic Impacts of Disasters 6.3 Modeling Disaster Risk Explicitly Preface -- PART I. Integrated Modeling for Informing Risk Management Policies -- 1. Integrated Modeling for Informing Risk Management Policies: An Introduction -- 2. Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna -- 3. Modeling Catastrophe Risk for Designing Insurance Systems -- 4. Handling Multiple Criteria in Flood Risk Management -- 5. Dams and Catastrophe Risk: Discounting in Long-Term Planning -- PART II. Disasters and Growth: Modeling and Managing Country-wide Catastrophe Risk -- 6. Modeling Aggregate Economic Risk: An Introduction -- 7. Catastrophe Risk and Economic Growth -- 8. Modeling Macro-scale Disaster Risk: The CATSIM Model -- 9. Managing Indirect Economic Consequences of Disaster Risk: The Case of Nepal -- PART III. Tisza River Basin in Hungary: Flood Risk Management, Multi-Stakeholder Processes and Conflict Resolution -- 10. Catastrophe Models and Policy Processes: Managing flood Risk in the Hungarian Tisza river basin. An introduction -- 11. Social Indicators of Vulnerability to Floods: An Empirical Case Study in Two Upper Tisza Flood Basins -- 12. Designing a Flood Management and Insurance System in Hungary: A Model-Based Stakeholder Approach -- 13. Consensus by Simulation: A Flood Model for Participatory Policy -- 14. A Risk-Based Decision Analytic Approach to Assessing Multi-Stakeholder Policy Problems -- 15. Optimizing Public Private Risk Transfer Systems for Flood Risk Management in the Upper River Tisza -- 16. Flood Risk in a Changing Climate: A Multilevel approach for Risk Management -- Index. 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 strategies; and applications are shown for selected South Asian countries. The book is addressed both to researchers and to organizations involved with catastrophe risk management and risk mitigation policies. 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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000cam a22002652 4500</leader><controlfield tag="001">1651965919</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240316102231.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">130115s2013 ne |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9789400722262</subfield><subfield code="9">978-94-007-2226-2</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-94-007-2226-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)1651965919</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-576)377593214</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BSZ377593214</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)827054233</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)978-94-007-2226-2</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="c">XA-NL</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">GB5000-5030</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">RNR</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">NAT023000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">RB 10121</subfield><subfield code="q">BVB</subfield><subfield code="2">rvk</subfield><subfield code="0">(DE-625)rvk/142220:12623</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Amendola, Aniello</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Integrated Catastrophe Risk Modeling</subfield><subfield code="b">Supporting Policy Processes</subfield><subfield code="c">edited by Aniello Amendola, Tatiana Ermolieva, Joanne Linnerooth-Bayer, Reinhard Mechler</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Dordrecht</subfield><subfield code="b">Springer</subfield><subfield code="c">2013</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">Online-Ressource (X, 287 p. 82 illus., 52 illus. in color, digital)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Advances in Natural and Technological Hazards Research</subfield><subfield code="v">32</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">SpringerLink</subfield><subfield code="a">Bücher</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based upon print version of record</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">Integrated Catastrophe RiskModeling; Preface; Contents; Part I: Integrated Modeling for Informing Risk Management Policies; Chapter 1: Catastrophe Models for Informing Risk Management Policy: An Introduction; 1.1 Scope; 1.2 Risk Management and Systems Analysis; 1.3 Catastrophe Models; 1.4 Catastrophe Models As Decision and Policy Support; 1.5 Book Overview; 1.5.1 Part I: Catastrophe Models for Informing Risk Management Policy; 1.5.2 Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">1.5.3 Part III: Tisza River Basin in Hungary: Flood Risk Management, Multi-stakeholder Processes and Conflict Resolution1.6 Part I: Catastrophe Models for Informing Risk Management Policy; 1.6.1 Introduction; 1.6.2 Chapter Descriptions; References; Chapter 2: Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna; 2.1 Introduction; 2.2 Concepts of Risk; 2.3 Aleatory Uncertainty, Epistemic Uncertainty, and Risk Curves; 2.4 Flash Floods in Vienna and Its Subway System; 2.5 Stochastic Optimization (STO) Model; 2.6 Risk Management Measures and Integrated Modeling</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">2.7 Summary of the Results2.8 Some Conclusions; References; Chapter 3: Modeling Catastrophe Risk for Designing Insurance Systems; 3.1 Introduction; 3.2 The Standard Insurance Risk Model; 3.3 Overview of Case Studies; 3.4 Stochastic Optimization (STO) Model; 3.5 Insolvency, Stopping Time, and Nonsmooth Risk Functions; 3.6 The Tuscany Region Case Study; 3.7 The Solution Procedure; 3.8 Conclusions; References; Chapter 4: Multiple Criteria Decision Making for Flood Risk Management; 4.1 Introduction and Background; 4.2 The Framework; 4.3 The Simulation Model; 4.4 Policy Strategies</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">4.5 A Decision Analytical Tool4.6 Adding Different Perspectives; 4.7 Case Study: Area and Setting; 4.8 Criteria; 4.9 Strategies; 4.10 Analysis of Strategies; 4.10.1 The Decision Tree; 4.10.2 Comparing Stakeholders; 4.10.3 Weighting All Stakeholders Equally; 4.10.4 Pareto Optimal Solution; 4.11 Concluding Remarks; References; Chapter 5: Dams and Catastrophe Risk: Discounting in Long Term Planning; 5.1 Introduction; 5.2 Ethical Goals and Constraints; 5.2.1 Spatio-Temporal Heterogeneities; 5.2.2 Multiagent Aspects; 5.2.3 Safety Constraints; 5.2.4 Discounting</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">5.2.5 Assessment vs. Robust Solutions5.3 Flood Management Model; 5.4 Case Study; 5.4.1 Discounting and Robust Decisions; 5.5 Risk Communication, Public Perception and Participation; 5.5.1 Intertemporal Inconsistency of Discounting; 5.5.2 Commitment to Actions; 5.6 Some Conclusions for Policy Evaluations; References; Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk; Chapter 6: Modeling Aggregate Economic Risk: An Introduction; 6.1 Disasters and Economic Development: The Empirical Evidence; 6.2 Modeling Macroeconomic Impacts of Disasters</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">6.3 Modeling Disaster Risk Explicitly</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">Preface -- PART I. Integrated Modeling for Informing Risk Management Policies -- 1. Integrated Modeling for Informing Risk Management Policies: An Introduction -- 2. Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna -- 3. Modeling Catastrophe Risk for Designing Insurance Systems -- 4. Handling Multiple Criteria in Flood Risk Management -- 5. Dams and Catastrophe Risk: Discounting in Long-Term Planning -- PART II. Disasters and Growth: Modeling and Managing Country-wide Catastrophe Risk -- 6. Modeling Aggregate Economic Risk: An Introduction -- 7. Catastrophe Risk and Economic Growth -- 8. Modeling Macro-scale Disaster Risk: The CATSIM Model -- 9. Managing Indirect Economic Consequences of Disaster Risk: The Case of Nepal -- PART III. Tisza River Basin in Hungary: Flood Risk Management, Multi-Stakeholder Processes and Conflict Resolution -- 10. Catastrophe Models and Policy Processes: Managing flood Risk in the Hungarian Tisza river basin. An introduction -- 11. Social Indicators of Vulnerability to Floods: An Empirical Case Study in Two Upper Tisza Flood Basins -- 12. Designing a Flood Management and Insurance System in Hungary: A Model-Based Stakeholder Approach -- 13. Consensus by Simulation: A Flood Model for Participatory Policy -- 14. A Risk-Based Decision Analytic Approach to Assessing Multi-Stakeholder Policy Problems -- 15. Optimizing Public Private Risk Transfer Systems for Flood Risk Management in the Upper River Tisza -- 16. Flood Risk in a Changing Climate: A Multilevel approach for Risk Management -- Index.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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 strategies; and applications are shown for selected South Asian countries. The book is addressed both to researchers and to organizations involved with catastrophe risk management and risk mitigation policies.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Geography</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Geology</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Distribution (Probability theory)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">System safety</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Sustainable development</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Economics</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Earth Sciences</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Geography</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield 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Aniello Amendola • Tatiana Ermolieva Joanne Linnerooth-Bayer • Reinhard Mechler Editors Integrated Catastrophe Risk Modeling Supporting Policy Processes … Springer Contents Part I … Integrated Modeling for Informing Risk Management Policies Catastrophe Models for Informing Risk Management Policy: An Introduction Aniello Amendola, Tatiana Ermolieva, Joanne Linnerooth-Bayer, and Reinhard Mechler Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna Keith L. Compton, Tatiana Ermolieva, Joanne Linnerooth-Bayer, Aniello Amendola, Rudolf Faber, and Hans-Peter Nachtnebel … Modeling Catastrophe Risk for Designing Insurance Systems … Tatiana Ermolieva and Yuri Ermoliev … Multiple Criteria Decision Making for Flood Risk Management Karin Hansson, Mats Danielson, Love Ekenberg, and Joost Buurman … Dams and Catastrophe Risk: Discounting in Long Term Planning Tatiana Ermolieva, Yuri Ermoliev, Michael Obersteiner, Marek Makowski, and Giinther Fischer Part II … Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk … Modeling Aggregate Economic Risk: An Introduction Reinhard Mechler … Economic Growth Under Catastrophes Yuri Ermoliev and Tatiana Ermolieva … ix x Contents … Modeling Macro Scale Disaster Risk: The CATSIM Model Stefan Hochrainer-Stigler, Reinhard Mechler, and Georg Pflug … Managing Indirect Economic Consequences of Disaster Risk: The Case of Nepal Reinhard Mechler, Stefan Hochrainer-Stigler, and Kazuyoshi Nakano Part III … Tisza River Basin in Hungary: Flood Risk Management, Multi-stakeholder Processes and Conflict Resolution Catastrophe Models and Policy Processes: Managing Flood Risk in the Hungarian Tisza River Basin - An Introduction Joanne Linnerooth-Bayer, Love Ekenberg, and Anna Vari … Social Indicators of Vulnerability to Floods: An Empirical Case Study in Two Upper Tisza Flood Basins Anna Vari, Zoltan Ferencz, and Stefan Hochrainer-Stigler … Designing a Flood Management and Insurance System in Hungary: A Model-Based Stakeholder Approach Joanne Linnerooth-Bayer, Anna Vari, and Lisa Brouwers … Consensus by Simulation: a Flood Model for Participatory Policy Making Lisa Brouwers and Mona Riabacke … A Risk-Based Decision Analytic Approach to Assessing Multi-stakeholder Policy Problems Mats Danielson and Love Ekenberg … Optimizing Public Private Risk Transfer Systems for Flood Risk Management in the Upper Tisza Region Yuri Ermoliev, Tatiana Ermolieva, and Istvan Galambos … Flood Risk in a Changing Climate: A Multilevel Approach for Risk Management Stefan Hochrainer-Stigler, Georg Pflug, and Nicola Lugeri … Index … |
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Preface; Contents; Part I: Integrated Modeling for Informing Risk Management Policies; Chapter 1: Catastrophe Models for Informing Risk Management Policy: An Introduction; 1.1 Scope; 1.2 Risk Management and Systems Analysis; 1.3 Catastrophe Models; 1.4 Catastrophe Models As Decision and Policy Support; 1.5 Book Overview; 1.5.1 Part I: Catastrophe Models for Informing Risk Management Policy; 1.5.2 Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">1.5.3 Part III: Tisza River Basin in Hungary: Flood Risk Management, Multi-stakeholder Processes and Conflict Resolution1.6 Part I: Catastrophe Models for Informing Risk Management Policy; 1.6.1 Introduction; 1.6.2 Chapter Descriptions; References; Chapter 2: Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna; 2.1 Introduction; 2.2 Concepts of Risk; 2.3 Aleatory Uncertainty, Epistemic Uncertainty, and Risk Curves; 2.4 Flash Floods in Vienna and Its Subway System; 2.5 Stochastic Optimization (STO) Model; 2.6 Risk Management Measures and Integrated Modeling</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">2.7 Summary of the Results2.8 Some Conclusions; References; Chapter 3: Modeling Catastrophe Risk for Designing Insurance Systems; 3.1 Introduction; 3.2 The Standard Insurance Risk Model; 3.3 Overview of Case Studies; 3.4 Stochastic Optimization (STO) Model; 3.5 Insolvency, Stopping Time, and Nonsmooth Risk Functions; 3.6 The Tuscany Region Case Study; 3.7 The Solution Procedure; 3.8 Conclusions; References; Chapter 4: Multiple Criteria Decision Making for Flood Risk Management; 4.1 Introduction and Background; 4.2 The Framework; 4.3 The Simulation Model; 4.4 Policy Strategies</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">4.5 A Decision Analytical Tool4.6 Adding Different Perspectives; 4.7 Case Study: Area and Setting; 4.8 Criteria; 4.9 Strategies; 4.10 Analysis of Strategies; 4.10.1 The Decision Tree; 4.10.2 Comparing Stakeholders; 4.10.3 Weighting All Stakeholders Equally; 4.10.4 Pareto Optimal Solution; 4.11 Concluding Remarks; References; Chapter 5: Dams and Catastrophe Risk: Discounting in Long Term Planning; 5.1 Introduction; 5.2 Ethical Goals and Constraints; 5.2.1 Spatio-Temporal Heterogeneities; 5.2.2 Multiagent Aspects; 5.2.3 Safety Constraints; 5.2.4 Discounting</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">5.2.5 Assessment vs. Robust Solutions5.3 Flood Management Model; 5.4 Case Study; 5.4.1 Discounting and Robust Decisions; 5.5 Risk Communication, Public Perception and Participation; 5.5.1 Intertemporal Inconsistency of Discounting; 5.5.2 Commitment to Actions; 5.6 Some Conclusions for Policy Evaluations; References; Part II: Disasters and Growth: Modeling and Managing Country-Wide Catastrophe Risk; Chapter 6: Modeling Aggregate Economic Risk: An Introduction; 6.1 Disasters and Economic Development: The Empirical Evidence; 6.2 Modeling Macroeconomic Impacts of Disasters</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">6.3 Modeling Disaster Risk Explicitly</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">Preface -- PART I. Integrated Modeling for Informing Risk Management Policies -- 1. Integrated Modeling for Informing Risk Management Policies: An Introduction -- 2. Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna -- 3. Modeling Catastrophe Risk for Designing Insurance Systems -- 4. Handling Multiple Criteria in Flood Risk Management -- 5. Dams and Catastrophe Risk: Discounting in Long-Term Planning -- PART II. Disasters and Growth: Modeling and Managing Country-wide Catastrophe Risk -- 6. Modeling Aggregate Economic Risk: An Introduction -- 7. Catastrophe Risk and Economic Growth -- 8. Modeling Macro-scale Disaster Risk: The CATSIM Model -- 9. Managing Indirect Economic Consequences of Disaster Risk: The Case of Nepal -- PART III. Tisza River Basin in Hungary: Flood Risk Management, Multi-Stakeholder Processes and Conflict Resolution -- 10. Catastrophe Models and Policy Processes: Managing flood Risk in the Hungarian Tisza river basin. An introduction -- 11. Social Indicators of Vulnerability to Floods: An Empirical Case Study in Two Upper Tisza Flood Basins -- 12. Designing a Flood Management and Insurance System in Hungary: A Model-Based Stakeholder Approach -- 13. Consensus by Simulation: A Flood Model for Participatory Policy -- 14. A Risk-Based Decision Analytic Approach to Assessing Multi-Stakeholder Policy Problems -- 15. Optimizing Public Private Risk Transfer Systems for Flood Risk Management in the Upper River Tisza -- 16. Flood Risk in a Changing Climate: A Multilevel approach for Risk Management -- Index.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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 strategies; and applications are shown for selected South Asian countries. 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