Reprint
Flood Risk and Resilience
Edited by
January 2021
214 pages
- ISBN978-3-03936-890-7 (Hardback)
- ISBN978-3-03936-891-4 (PDF)
This is a Reprint of the Special Issue Flood Risk and Resilience that was published in
Biology & Life Sciences
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Public Health & Healthcare
Summary
Flooding is widely recognized as a global threat, due to the extent and magnitude of damage it causes around the world each year. Reducing flood risk and improving flood resilience are two closely related aspects of flood management. This book presents the latest advances in flood risk and resilience management on the following themes: hazard and risk analysis, flood behaviour analysis, assessment frameworks and metrics and intervention strategies. It can help the reader to understand the current challenges in flood management and the development of sustainable flood management interventions to reduce the social, economic and environmental consequences from flooding.
Format
- Hardback
License and Copyright
© 2021 by the authors; CC BY-NC-ND license
Keywords
nonstationarity; univariate model; GAMLSS; bivariate model; copulas; floodway; optimization; particle swarm optimization; HEC-RAS; flood mitigation; hydraulic modeling; flood risk perception; natural flood management; disaster mitigation; flood-prone city; questionnaire survey; flood hazard; land use; urban growth; Villahermosa; architecture modelling flood resilience; resilience engineering; system-of-systems water systems; multi-risk matrix; resilience; flood risk; multi-hazard; risk reduction; flood resilience index; flood resilience analysis; urban floods; flood risk assessment; flood inundation modelling; Artificial Intelligence; machine learning; flood; preparedness; resilience; flood resilience; blue-green infrastructure; flood risk management; sustainable; drainage systems; resilience; systems; flood control materials; intelligent warehousing; location allocation; multi-objective optimization; drone applications; deployment time; monitoring; flood modelling; evacuation; rescue; resilience; flood risk; flood resilience; machine learning; management strategy; metrics