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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
Overall attention for this book and its chapters
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Mentioned by

policy
1 policy source

Readers on

mendeley
47 Mendeley
Summary Policy documents
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Title
Integrated Catastrophe Risk Modeling : Supporting Policy Processes
Published by
Springer Netherlands, January 2013
DOI 10.1007/978-94-007-2226-2
ISBNs
978-9-40-072226-2, 978-9-40-072225-5, 978-9-40-178498-6
Authors

Amendola, Aniello, Ermolieva, Tatiana, Linnerooth-Bayer, Joanne, Mechler, Reinhard

Editors

Amendola, Aniello, Ermolieva, Tatiana, Linnerooth-Bayer, Joanne, Mechler, Reinhard

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
United States 1 2%
Canada 1 2%
Unknown 44 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 26%
Student > Ph. D. Student 11 23%
Student > Bachelor 5 11%
Student > Doctoral Student 4 9%
Student > Master 4 9%
Other 9 19%
Unknown 2 4%
Readers by discipline Count As %
Earth and Planetary Sciences 7 15%
Engineering 7 15%
Social Sciences 6 13%
Economics, Econometrics and Finance 5 11%
Mathematics 4 9%
Other 11 23%
Unknown 7 15%

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