Hydrological Modeling for Flood Prediction

Predicting and mitigating flood risks require an in-depth understanding of hydrological processes and accurate computational modeling. Hydrological models simulate rainfall-runoff relationships to forecast flood events and guide water resource planning. Hydrological Modeling for Flood Prediction explains modeling frameworks, data collection methods, and calibration techniques used in flood forecasting. The book covers physically based, conceptual, and data-driven models alongside GIS and remote sensing applications. It also discusses uncertainty assessment and real-time prediction systems. By integrating theory and case-based examples, it equips researchers and engineers with practical tools for managing flood hazards and enhancing disaster resilience.

Dr. Chetan Anand Dubey is currently working as an Assistant Professor at the Department of Geology, Bundelkhand University, Jhansi. He did his Ph.D. from Department of Geology, University of Lucknow. He is having a strong background in Earth Sciences. He has been actively engaged in teaching, research and curriculum development contributing to geology, environmental studies and natural resource management. Dr. Chetan Anand Dubey has published research articles in various national and international journals and guided students in their academic and research endeavors. His research interests include climate change, natural hazards, sedimentology, groundwater resource management, earth surface processes etc.