Elsevier, 2018. — 460 p. — ISBN 978-0-12-812056-9.This book bridges the gap between scientific research on natural disasters and the practice of disaster management. It examines natural hazards, including earthquakes, landslides and tsunamis, and uses integrated disaster management techniques, quantitative methods and big data analytics to create early warning models to mitigate impacts of these hazards and reduce the risk of disaster. It also looks at mitigation as part of the recovery process after a disaster, as in the case of the Nepal earthquake.Edited by global experts in disaster management and engineering, the book offers case studies that focus on the critical phases of disaster management.Key Features Identifies advanced techniques and models based on natural disaster science for forecasting disasters and analyzing risk Offers a holistic approach to the problem of disaster management, including preparation, recovery, and resilience Includes coverage of social, economic, and environmental impacts on disastersReadership Graduate students, postgraduate students, researchers, and practitioners in disaster/emergency management Secondary audience: Researchers in disaster scienceTrue PDF
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