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Integrated Catastrophe Risk Modeling : Supporting Policy Processes

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Cover of 'Integrated Catastrophe Risk Modeling : Supporting Policy Processes'

Table of Contents

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    Book Overview
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    Chapter 1 Catastrophe Models for Informing Risk Management Policy: An Introduction
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    Chapter 2 Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna
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    Chapter 3 Modeling Catastrophe Risk for Designing Insurance Systems
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    Chapter 4 Multiple Criteria Decision Making for Flood Risk Management
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    Chapter 5 Dams and Catastrophe Risk: Discounting in Long Term Planning
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    Chapter 6 Modeling Aggregate Economic Risk: An Introduction
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    Chapter 7 Economic Growth Under Catastrophes
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    Chapter 8 Modeling Macro Scale Disaster Risk: The CATSIM Model
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    Chapter 9 Managing Indirect Economic Consequences of Disaster Risk: The Case of Nepal
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    Chapter 10 Catastrophe Models and Policy Processes: Managing Flood Risk in the Hungarian Tisza River Basin – An Introduction
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    Chapter 11 Social Indicators of Vulnerability to Floods: An Empirical Case Study in Two Upper Tisza Flood Basins
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    Chapter 12 Designing a Flood Management and Insurance System in Hungary: A Model-Based Stakeholder Approach
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    Chapter 13 Consensus by Simulation: a Flood Model for Participatory Policy Making
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    Chapter 14 A Risk-Based Decision Analytic Approach to Assessing Multi-stakeholder Policy Problems
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    Chapter 15 Optimizing Public Private Risk Transfer Systems for Flood Risk Management in the Upper Tisza Region
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    Chapter 16 Flood Risk in a Changing Climate: A Multilevel Approach for Risk Management
Attention for Chapter 8: Modeling Macro Scale Disaster Risk: The CATSIM Model
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Citations

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Chapter title
Modeling Macro Scale Disaster Risk: The CATSIM Model
Chapter number 8
Book title
Integrated Catastrophe Risk Modeling
Published by
Springer, Dordrecht, January 2013
DOI 10.1007/978-94-007-2226-2_8
Book ISBNs
978-9-40-072225-5, 978-9-40-072226-2
Authors

Stefan Hochrainer-Stigler, Reinhard Mechler, Georg Pflug, Hochrainer-Stigler, Stefan, Mechler, Reinhard, Pflug, Georg

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Environmental Science 1 33%
Agricultural and Biological Sciences 1 33%
Economics, Econometrics and Finance 1 33%

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