1.

Record Nr.

UNINA9910864199403321

Titolo

Flood Risk Management : Assessment and Strategy / / edited by Brototi Biswas, Bhagwan Balasaheb Ghute

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024

ISBN

9789819726882

9789819726875

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (482 pages)

Collana

Springer Natural Hazards, , 2365-0664

Disciplina

363.3493

Soggetti

Natural disasters

Water

Hydrology

Geology

Geomorphology

Physical geography

Natural Hazards

Physical Geography

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Spatiotemporal Dynamics of Flood Exposure in Bangladesh A GIS and Remote Sensing-based Approach -- Analyzing spatiotemporal changes in flood risk zones to mitigate flood hazards in a floodplain area using a GIS-based AHP technique -- Mapping of glacial lakes and glacial lake outburst flood in Lahul and Spiti district using remote sensing and GIS -- Mapping flood susceptibility and risk in the Ganges Tidal Floodplain utilizing a Weighted Factor Analysis Model -- Assessment of flood vulnerability in Vedganga river basin spread over Maharashtra.

Sommario/riassunto

This book examines the nature of flood in different landscapes and the various factors that contribute to flooding in different areas. It identifies flood risk zones in different terrain types and provides valuable insights into the anthropogenic, geographical, hydro-geological, and geomorphological aspects of flood-prone areas to achieve sustainable risk management. The book also explores the



impact of avalanches, global warming, and flash floods in different settings where such types of flooding have become more common. In addition, the volume provides case studies to evaluate the impact of flooding in both natural and man-made environments. To better understand and manage floods, the book combines advanced geospatial tools and techniques with indigenous knowledge. Using machine learning and multiple-criteria decision analysis, the book provides an amalgamation of technology and indigenous knowledge to assess flood susceptibility. The book also includes strategies to manage flood risks and case studies that demonstrate best practices in flood risk management. The volume is a valuable resource for researchers, students, and policy makers to understand the causes of floods and their socio-economic impact in different areas.