Geoinformatics for Flood Risk Management

This book presents a comprehensive coverage of the various types of floods, what causes them in different terrains, and the anthropogenic, geographical, hydro-geological, and geomorphological aspects of flood-prone areas. The use of geospatial techniques for flood mapping and monitoring, multi-criteria decision-making techniques for risk management, and machine learning algorithms for flood prediction mapping, susceptibility analysis, and monitoring are all integrated into many real-life case studies provided in this book. The discussions on flood management strategies, including sustainable flood risk assessment through indigenous knowledge and local resources, empower readers to make informed decisions.

Features

• Provides the most recent developments and insights on the types of floods, causes, and impact.
• Discusses the use of geospatial techniques in flood mapping, susceptibility analysis, and monitoring for sustainable flood risk management.
• Identifies different flood conditioning factors in different geographical settings and examines the impact of flash floods.
• Includes real-life case studies from different regions, showcasing successful flood management strategies and lessons learned from past events.
• Highlights the importance of community participation in risk management.

This book is an excellent reference for researchers, scientists, and academics interested in various aspects of natural disasters and management, geospatial techniques, flood hydrology, and population demographics. It also serves as a great foundational text for graduate students in Environmental Science, Geography, Geology, etc., taking courses in Disaster Management.