Title Page

Copyright Page

Contents

Contributors

Preface

Acknowledgments

Part I Introduction

Chapter 1 Overview of the United Nations Global Loss Data Collection Initiative

1.1. Disaster Risk Reduction: A Framework for Action

1.2. The Sendai and Other Frameworks of 2015

1.3. The Sendai Framework and Loss Data Collection

1.4. Where We Are: Basic Principles of the United Nations Initiative

1.5. Where Do We Go? Experience from the Past Indicates Challenges for the Future

1.6. Conclusions

References

Chapter 2 Technical Recommendations for Standardizing Loss Data

2.1. Introduction

2.2. Requirements for Loss Databases

2.3. The Loss Data Model

2.4. Technical Challenges

2.5. Challenges for Reporting in the European Union

2.6. Recommendations for Best Practices in Loss Data Recording

2.7. Conclusions

References

Part II Data Storage

Chapter 3 Overview of Loss Data Storage at Global Scale

3.1. Introduction

3.2. European Union Guidelines Used for the Contextual Analysis of the Data Sets

3.3. Overview of Data Sets at Global Scale (EM-DAT, NatCatSERVICE, Sigma)

3.4. National Data Sets including Good Practices (Slovenia, Moldova, United States, Colombia)

3.5. National Data Sets in a Regional Context and Global Context (European Union Effort, the Commonwealth of Independent States effort, DesInventar Database)

3.6. The Use of Global Data Sets: A Change in Paradigm

3.7. Conclusions: Toward a Comprehensive Global Data Set

Acknowledgments

References

Chapter 4 Direct and Insured Flood Damage in the United States

4.1. Introduction

4.2. Flood Loss Patterns in the United States

4.3. Sources of Flood Information in the United States

4.4. Uncertainties in US Flood Loss Accounting

4.5. Future Data Needs

4.6. Conclusion

Acknowledgments and Data

References

Chapter 5 HOWAS21, the German Flood Damage Database

5.1. Introduction

5.2. Other Flood Damage Databases

5.3. HOWAS21 Database Concept and Structure

5.4. Technical Design and Implementation

5.5. Data Sources: Surveys and Data Acquisition Campaigns

5.6. Data Quality Concept

5.7. Exemplary Data Analyses and Use

5.8. Conclusions

References

Part III Data Collection

Chapter 6 Best Practice of Data Collection at the Local Scale: The RISPOSTA Procedure

6.1. Introduction: Why and Where to Apply RISPOSTA

6.2. The Logical Structure of RISPOSTA: The Four Axes

6.3. State of Implementation of the RISPOSTA Procedure

6.4. Flooded Areas, Residential Buildings, and Industrial/Commercial Premises (Direct Survey Centered)

6.5. Other Sectors (Data Gathering Centered)

6.6. Data Coordination

6.7. Conclusions

Acknowledgments

References

Chapter 7 Data Collection for a Better Understanding of What Causes Flood Damage–Experiences with Telephone Surveys

7.1. Introduction

7.2. Survey Methodologies and Sampling Strategies

7.3. Loss Data Collection in Germany after Severe Flood Events

7.4. Conclusions

References

Chapter 8 Utilizing Post-Disaster Surveys to Understand the Social Context of Floods–Experiences from Northern Australia

8.1. The Mythologizing of Floods and Natural Disasters in Australian Culture

8.2. Natural Hazards in Australia

8.3. Research in the Post-Disaster Context

8.4. Centre for Disaster Studies Research

8.5. Flood Typology and Impacts

8.6. Specific Issues Identified in Northern Australia

8.7. Impact of Floods

8.8. Methodology and Objectives of Post-Disaster Surveys

8.9. Summary of Findings from Flood Post-Disaster Surveys

8.10. Conclusion

References

Chapter 9 Understanding Crowdsourcing and Volunteer Engagement: Case Studies for Hurricanes, Data Processing, and Floods

9.1. Introduction

9.2. Understanding Crowdsourcing

9.3. Case Studies

9.4. Harnessing the Power of the Crowd

9.5. Summary

References

Part IV Data Analysis

Chapter 10 After the Flood Is Before the Next Flood: The Post-Event Review Capability Methodology Developed by Zurich’s Flood Resilience Alliance

10.1. Introduction: Disaster Resilience, Disaster Forensics, and Post-Event Review Capability

10.2. The Post-Event Review Capability Framework and Analysis

10.3. How a Post-Event Review Capability Is Conducted

10.4. Consolidated Findings from Post-Event Review Capability Studies Conducted Between 2013 and 2015

10.5. Conclusion

References

Chapter 11 Defining Complete Post-Flood Scenarios to Support Risk Mitigation Strategies

11.1. Introduction

11.2. Definition of the “Complete Event Scenario” Concept

11.3. Key Components of a Complete Post-Flood Event Scenario in the Proposed Methodology

11.4. Reporting the Complete Damage Scenario and Application to the Case Study Area

11.5. Discussing the Utility of This Work

11.6. Challenges

11.7. Conclusion

References

Chapter 12 Rebuild and Improve Queensland: Continuous Improvement After the 2010–2011 Floods in Australia

12.1. Introduction

12.2. Australia and Queensland Natural Disaster Situations (2011–2015)

12.3. Natural Disaster Events in Queensland

12.4. Response–Damage Assessment in Queensland

12.5. Recovery–The Queensland Experience

12.6. Mitigation and Betterment Programs Incorporating Damage Assessment Methodology

12.7. The Future

References

Chapter 13 Forensic Disaster Analysis of Flood Damage at Commercial and Industrial Firms

13.1. Introduction

13.2. Forensic Analysis: Quantitative and Qualitative Approaches

13.3. Example of Forensic Investigation Procedure

13.4. Business Vulnerability to Natural Disasters

13.5. Conclusion: Using Forensic Analysis for Planning Business Resilience Measures

References

Part V Information and Communication Technology Tools

Chapter 14 Response to Flood Events: The Role of Satellite-based Emergency Mapping and the Experience of the Copernicus Emergency Management Service

14.1. Introduction

14.2. Emergency Mapping

14.3. Copernicus Emergency Management Service Rapid Mapping

14.4. Flood Impact Assessment: Operational Approach

14.5. Copernicus Emergency Management System Case Study

14.6. Conclusions

Acknowledgments

References

Chapter 15 Data Collection and Analysis at Local Scale: The Experience within the Poli-RISPOSTA Project

15.1. Introduction: Role of Information and Communication Technology in Disaster Management

15.2. Poli-RISPOSTA: A Flood Data Management System for the Local/Regional Scale

15.3. Remarks About the Poli-RISPOSTA Information and Communication Technology System

15.4. Conclusions

Acknowledgments and Data

References

Conclusions

1. The History of Flood Damage Datacollection and Management

2. Current Motivation and Rationale for Damage Data Collection and Assessment

3. Recommendations for the Future for Enabling Technologies and Integrating Sectors and Stakeholders in a New Generation of Post-flood Damage Information Systems

References

Index

EULA