Modeling and Mitigation Measures for Managing Extreme Hydrometeorological Events Under a Warming Climate: Volume 14(Volume 14 Developments in Environmental Science)

Modeling and Mitigation Measures for Managing Extreme Hydrometeorological Events Under a Warming Climate explores the most recent computational tools, modeling frameworks, and critical data analysis measures for managing extreme climate events. Extreme climate events—primarily floods and droughts—have had major consequences in terms of loss of life and property around the world. Managing extreme occurrences, reducing their effects, and establishing adaptation strategies requires significant policy and planning improvements. This practical guide explores the latest research literature, recent advanced modeling approaches, and fundamental ideas and concepts to provide a variety of solutions for managing extreme events.

Table of Contents:
1. Detailed modeling of evaporation loss and operating rules for improved reservoir management 2. Characterizing extreme events in monsoon Asia using remote sensing and land surface model data products 3. D-SciMAP: Integrating drought science, management, and policy in water-scarce areas 4. Application of machine learning approaches for climate change mitigation 5. Non-stationarity analyses of design rainfall using Bayesian approaches 6. Time-varying hydro-climatological extremes and its modeling 7. Water security implications of climate and socio-economic stressors for river basin management 8. Water resources management under climate change and extreme hydrological events 9. Changes in drought characteristics and coping strategies in monsoonal climates 10. Assessment of drought using standardized precipitation index (SPI) - A case study of Tiruchirappalli district (Tamil Nadu) 11. Machine Learning for improving near real-time satellite rainfall estimates useful for flood modeling 12. Using models to understand changing hydrological extremes as a result of climate change: impacts in urban areas 13. Modeling the non-stationarity in the reservoir operation

About the Author :
Dr. Kasiviswanathan K S is an Assistant Professor at the Indian Institute of Technology (IIT) Roorkee's Department of Water Resources Development and Management. Quantification of uncertainty in hydrological models was the focus of his PhD thesis. Reservoir operation, flood forecasting, geographic data analysis, multi-objective optimization, uncertainty, and risk quantification are among his current research interests at IIT Roorkee. He has received numerous prestigious awards, including the American Geophysical Union's Berkner Fellowship, the International Association of Hydrological Sciences' Sivapalan Young Scientist Award, the Department of Science and Technology's Early Career Research Award, and the University of Calgary's Eyes High Postdoctoral Fellowship. Dr. Soundharajan is an Associate Professor of Water Resources Management at Amrita Vishwa Vidyapeetham's Civil Engineering Department. His research focuses on water resources system analysis, planning, and management, as well as the behavior of water supply reservoirs and the creation of effective reservoir management and planning tools. Dr. Soundharajan has worked on water resources projects in Asia, Europe, and Africa for over ten years. Dr. Sandhya Patidar is an Associate Professor at Heriot-Watt University's Institute for Infrastructure and Environment's School of Energy, Geoscience, Infrastructure, and Society (EGIS). Her primary research focus is on the inter-disciplinary applications of mathematical/statistical tools to real-world problems, particularly in the fields of climate change, the built environment, energy, severe events, and flood risk management. Hidden-Markov Modelling, Stochastic Processes, Time series modeling, Uncertainty and Data Analysis, Complex Networks, Non-Linear Dynamical Systems, Bifurcation Analysis, and Chaos are some of the multidisciplinary research projects she has led and contributed to. She has won numerous awards, including the Best Paper Award in Climate Change, the Best Presentation Award, and the Sir David Wallace Prize for Best Presentation at Loughborough University. Dr. Jianxun (Jennifer) He is an Associate Professor at the University of Calgary's Schulich School of Engineering's Department of Civil Engineering. Climate change implications on surface water resources, sustainable urban water resource management, surface water quality monitoring and assessment/modeling, flood modeling and forecasting, and hydrological extremes are just a few of Dr. He’s research interests. Her research focuses on field monitoring, statistical analysis, and both physically based and data-driven modeling to improve understanding of physical mechanisms. Dr. Chandra Shekhar Prasad Ojha is a Professor at the Indian Institute of Technology Roorkee's Department of Civil Engineering. Water Resources Management under Climate Change, Environmental & Fluvial Hydraulics, Surface Water and Ground Water Hydrology, and Flow and Contaminant Transport are among Prof Ojha's research interests. He has been awarded a number of research fellowships, including the Alexander von Humboldt Research Fellowship Award, the Japan Society for Promotion of Science Invitation Fellowship, and the Common Wealth Research Scholarship Award. He is a visiting professor at Purdue University in Indiana, United States of America.