Floods can have a devastating impact on life, property and economic resources. However, the systematic collection of damage data in the aftermath of flood events can contribute to future risk mitigation. Such data can support a variety of actions including the identification of priorities for intervention during emergencies, the creation of complete event scenarios to tailor risk mitigation strategies, the definition of victim compensation schemes, and the validation of damage models to feed cost-benefit analysis of mitigation actions.
Volume highlights include:
* Compilation of real world case studies elaborating on the survey experiences and best practices associated with flood damage data collection, storage and analysis, that can help strategize flood risk mitigation in an efficient manner
* Coverage of different flooding phenomena such as riverine and mountain floods, spatial analysis from local to global scales, and stakeholder perspectives, e.g. public decision makers, researchers, private companies
* Contributions from leading experts in the field, researchers and practitioners, including civil protection actors working at different spatial and administrative level, insurers, and professionals working in the field of natural hazard risks mitigation
Flood Damage Survey and Assessment: New Insights from Research and Practice will be a valuable resource for earth scientists, hydrologists, meteorologists, geologists, geographers, civil engineers, insurers, policy makers, and planners.
Read an interview with the editors to find out more:
https://eos.org/editors-vox/the-value-of-disaster-damage-data
Table des matières
Contributors vii
Preface xi
Acknowledgments xv
Part I: Introduction
1 Overview of the United Nations Global Loss Data Collection Initiative
Julio Serje 3
2 Technical Recommendations for Standardizing Loss Data
Daniele Ehrlich, Christina Corbane, and Tom De Groeve 17
Part II: Data Storage
3 Overview of Loss Data Storage at Global Scale
Roberto Rudari, Marco Massabo, and Tatiana Bedrina 33
4 Direct and Insured Flood Damage in the United States
Melanie Gall 53
5 HOWAS21, the German Flood Damage Database
Heidi Kreibich, Annegret Thieken, Soren-Nils Haubrock, and Kai Schroter 65
Part III: Data Collection
6 Best Practice of Data Collection at the Local Scale: The RISPOSTA Procedure
Nicola Berni, Daniela Molinari, Francesco Ballio, Guido Minucci, and Carolina Arias Munoz 79
7 Data Collection for a Better Understanding of What Causes Flood Damage-Experiences with Telephone Surveys
Annegret Thieken, Heidi Kreibich, Meike Muller, and Jessica Lamond 95
8 Utilizing Post?]Disaster Surveys to Understand the Social Context of Floods-Experiences from Northern Australia
David King and Yetta Gurtner 107
9 Understanding Crowdsourcing and Volunteer Engagement: Case Studies for Hurricanes, Data Processing, and Floods
Shadrock Roberts and Tiernan Doyle 121
Part IV: Data Analysis
10 After the Flood Is Before the Next Flood: The Post?]Event Review Capability Methodology Developed by Zurich’s Flood Resilience Alliance
Michael Szoenyi, Kanmani Venkateswaran, Adriana Keating, and Karen Mac Clune 137
11 Defining Complete Post?]Flood Scenarios to Support Risk Mitigation Strategies
Scira Menoni, Funda Atun, Daniela Molinari, Guido Minucci, and Nicola Berni 151
12 Rebuild and Improve Queensland: Continuous Improvement After the 2010-2011 Floods in Australia
Brendan Moon 173
13 Forensic Disaster Analysis of Flood Damage at Commercial and Industrial Firms
Martin Dolan, Nicholas Walliman, Shahrzad Amouzad, and Ray Ogden 195
Part V: Information and Communication Technology Tools
14 Response to Flood Events: The Role of Satellite?]based Emergency Mapping and the Experience of the Copernicus Emergency Management Service
Andrea Ajmar, Piero Boccardo, Marco Broglia, Jan Kucera, Fabio Giulio?]Tonolo, and Annett Wania 213
15 Data Collection and Analysis at Local Scale: The Experience within the Poli?]RISPOSTA Project
Carolina Arias Munoz, Mirjana Mazuran, Guido Minucci, Danilo Ardagna, and Maria Brovelli 229
Conclusions
Daniela Molinari, Scira Menoni, and Francesco Ballio 247
Index 257
A propos de l’auteur
Daniela Molinari, Politecnico di Milano, Italy
Scira Menoni, Politecnico di Milano, Italy
Francesco Ballio, Politecnico di Milano, Italy
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