Global Flood Hazard: Applications in Modeling, Mapping, and Forecasting

Global Flood Hazard

Applications in Modeling, Mapping, and Forecasting

Flooding can be a costly natural disaster in terms of damage to land, property and infrastructure. Global Flood Hazard: Applications in Modeling, Mapping, and Forecasting describes the latest techniques, tools and technologies for modeling, mapping, and predicting large–scale flood risk. It also features case studies describing best–practice uses. These resources can enable policymakers, public planners, and developers to plan for, and respond to flooding with greater accuracy and effectiveness.

Volume highlights include:

Describes the latest large–scale modeling approaches, including hydrological models, 2–D flood inundation models, and global flood forecasting models Presents remote sensing data sets successfully used for predicting and mapping floods at different scales Showcases new tools and technologies such as Aqueduct, used for global assessment and projection of future flood risk under climate change scenarios

Global Flood Hazard: Applications in Modeling, Mapping, and Forecasting is an indispensable resource for researchers, consultants, practitioners, and policy makers dealing with flood risk, flood disaster response, flood management, and flood mitigation.

Introductory Chapter

The need for mapping, modeling and predicting flood hazard and risk at the global scale

Section 1: Flood Hazard Mapping and Modeling from Remote Sensing

Rainfall Information for Global Flood Modeling Flood Risk Mapping From Orbital Remote Sensing Flood hazard mapping in data–scarce areas: an application example of regional versus physically–based approaches for design flood estimation Global Flood Monitoring and Predicting Using Satellite Precipitation and Hydrological model Flood hazard mapping for the humanitarian sector

Section 2: Flood Hazard Modeling and Forecasting

Modeling and mapping of global flood hazard layers Increases in flood frequency by the 21st century: A global modeling assessment From precipitation to damage: A coupled model chain for spatially coherent, large–scale flood risk assessment Global flood risk assessment and projections of climate change impacts Global Flood Forecasting for Averting Disasters Worldwide Data assimilation and river hydrodynamic modeling over large scales

Closing Chapter

Global Flood Hazard Mapping, Modeling and Forecasting: Challenges and Perspectives

Guy J–P. Schumann, University of California Los Angeles, USA and University of Bristol, UK

Paul D. Bates, University of Bristol, UK

Heiko Apel, GFZ German Research Centre for Geosciences, Germany

Giuseppe T. Aronica, University of Messina, Italy