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Several scholars across the globe identified the present lack of high quality damage data as the main constraint to efficient risk mitigation. The need for a systematic collection of damage data in the aftermath of flood events come into light, thus the aim being the creation of complete and reliable databases. Flood damage data collected in the aftermath of a disastrous event can support a variety of actions, which include: (i) the identification of priorities for intervention during emergencies, (ii) the creation of complete event scenarios on the basis of which understanding the fragilities of the flooded areas and tailoring risk mitigation strategies, (iii) the definition of victims compensation schemes, and (iv) the validation/definition of damage models to feed cost-benefit analysis of structural and non-structural mitigation actions (including insurance schemes).
Volume highlights include: * A good 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 * Valuable contributions covering different flooding phenomena such as riverine and mountain floods, different spatial level of analysis from local to global scales, and different stakeholders 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 hazards mitigation Flood Damage Survey and Assessment
: New Insights from Research and Practice will be a valuable resource to all earth scientists, hydrologists, meteorologists, geologists, geographers, civil engineers, insurers and policy decision makers.
Flood Damage Survey and Assessment
Contents Contributors Preface Acknowledgments Part I: International Context 1 Overview of the UN Global Loss Data Collection Initiative Julio Serje 2 Technical recommendations for standardizing loss data Daniele Ehrlich, Christina Corbane and Tom De Groeve 3 Overview of loss data storage at global scale Roberto Rudari, Marco Massabo, Tatiana Bedrina Part II: Data Storage 4 Direct and Insured Flood Damage in the United States Melanie Gall 5 HOWAS21 the German flood damage database Heidi Kreibich, Annegret Thieken, Haubrock Soren, Kai Schroter 6 Best practice of data collection at the local scale: the RISPOSTA procedure Nicola Berni, Daniela Molinari, Francesco Ballio, Guido Minucci, Carolina Arias Munoz 7 Data collection for a better understanding of what causes flood damage experiences with telephone surveys Annegret Thieken, Heidi Kreibich, Meike Muller, Jessica Lamond Part III: Data Collection 8 Utilising post disaster surveys to understand the social context of floods experiences from Northern Australia David King and Yetta Gurtner 9 Understanding Crowdsourcing and Volunteer Engagement: case studies for hurricanes, data processing, and floods Shadrock Roberts and Tiernan Doyle 10 After the flood is before the next flood: The post event review capability (PERC) methodology developed by Zuri