Reprint

Flash Floods: Forecasting, Monitoring and Mitigation Strategies

Edited by
June 2023
234 pages
  • ISBN978-3-0365-7818-7 (Hardback)
  • ISBN978-3-0365-7819-4 (PDF)

This book is a reprint of the Special Issue Flash Floods: Forecasting, Monitoring and Mitigation Strategies that was published in

Biology & Life Sciences
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Public Health & Healthcare
Summary

This reprint focuses on the mechanisms, modeling and controlling techniques of flash flood disasters, mainly in mountainous areas. Flash floods are among the most severe natural disasters, and the current publication will not only inspire future research but also enrich the current practice of flash flood disaster prevention and mitigation. This collection focusses on the engaged efforts in mitigating flash flood disasters, deepening the understanding of the causes of disasters in existing cases, finding appropriate modeling approaches, and implementing mitigation strategies. The readers will find within this reprint significant contributions for improving prevention and developing mitigation strategies, as well as protecting the safety of exposed populations.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
flood monitoring; forecasting; hazard exposure; emergency response; Vaisigano River; Samoa; SWAT; CMADS; TRMM; the Danjiang river basin; flash flood; bifurcation; confluence; shallow-water models; flash-flood modelling system; disaster mechanism; runoff generation component; disaster amplification effect; economic losses from flood disasters; flash flood disaster control; Kaya identity; LMDI technique decomposition method; flash flood; flood hazard; morphometry; PCA; logistic regression; Sinai; Egypt; grass coverage rate; grass spatial arrangement patterns; slope-gully system; erosion; debris flow; lateral erosion; strong earthquake area; model experiment; erosion pattern; Tlalnepantla River; flash floods; hyetograph shape; Hec Ras 2d; Dorrigo diagram; regionalization; hydrological model; hydrodynamic model; disaster review analysis; heavy rainfall in Henan; periglacial debris flow; southeast Tibet; small sample imbalanced data; prediction model; random forest; mountain torrents; distributed hydrological model; parameters regionalization; machine learning; n/a