Water Sustainability and Predictive Modelling

Insights for Sustainable Water Management
Erscheinungsjahr 2027
ISBN: 978-0-443-52538-4
Verlag: Elsevier Science

Buch, Englisch, 320 Seiten, Format (B × H): 191 mm x 235 mm

Water Sustainability and Predictive Modelling addresses one of the most urgent challenges of our time—managing water resources in an era marked by climate change, urban growth, and increasing demand. This comprehensive volume traces the evolution of water management from traditional practices to innovative, data-driven solutions. By harnessing the power of cutting-edge technologies such as artificial intelligence, machine learning, and advanced hydrological modeling, it showcases how predictive approaches can accurately forecast water availability, identify risks, and support sustainable decision-making. Designed for students, researchers, policymakers, and industry leaders, this book offers practical insights into optimizing water use. Featuring real-world case studies and expert perspectives, it provides actionable strategies to enhance water security, promote resource efficiency, and foster resilient water governance. Whether addressing water scarcity, flood risks, or climate impacts, this volume empowers readers to drive innovation and build a sustainable water future.

Autoren/Hrsg.

Kumar, Manish

Singh, Vijay P.

Fachgebiete

• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik

Inhaltsverzeichnis

1. Introduction to Predictive Modelling in Water Sustainability
2. Predictive Modelling for Surface Water and Groundwater Interactions
3. AI and Machine Learning for Water Forecasting
4. Predictive Modelling for Climate Change Impacts on Water Resources
5. Predictive Modelling for Agricultural Water Use and Sustainable Irrigation
6. Hydrological Modelling for Water Availability and Flood Prediction
7. Predictive Modelling for Industrial Water Management and Circular Economy
8. Smart Water Infrastructure and IoT-Based Monitoring
9. Predictive Modelling for Carbon Neutrality in Waste Management
10. Policy, Governance, and Decision-Support Systems for Water Sustainability
11. Multi-Scale Predictive Modelling for Urban Water Security
12. Future Directions in Water Sustainability and Predictive Modelling

Über Autor(innen)

Singh, Vijay P.
Professor. Vijay P. Singh is a globally renowned hydrologist and engineer, currently a Distinguished Professor and Regents Professor at Texas A&M University, where he holds the Caroline and William N. Lehrer Distinguished Chair in Water Engineering. With a career spanning decades, his contributions to surface and groundwater hydrology, hydraulics, irrigation, and water resources management are widely recognized. He has authored over 1,200 journal articles, numerous textbooks, and handbooks, significantly shaping the field. His research encompasses watershed modeling, climate change impacts, and entropy-based hydrologic theories. Prof. Singh's outstanding contributions have earned him prestigious accolades, including the Ven Te Chow Award, Ray K. Linsley Award, and the Norman Medal. Beyond research, he serves as Editor-in-Chief for key hydrology journals, further advancing the discipline.

Kumar, Manish
Dr. Manish Kumar, Associate Professor, Amity University, Noida, Uttar Pradesh, India has done his PhD in Microbiology from ICAR-National Bureau of Agriculturally Important Microorganisms & RD University, Jabalpur. He has expertise in the field of plant-microbe interaction, microbial metagenomics, microbial diversity, and in-silico vaccine designing. He has qualified ICAR-NET with experiences like RA and SRF in ICAR and CSIR labs. He is a recipient of SERB SIRE (SERB International Research Experience-2022) fellowship from DST (Department of Science & Technology), Govt. of India. He worked under the guidance of Dr. Marina Kalyuzhnaya, Professor, Department of Biology, San Diego State University, USA. He is the Editor and reviewer of different reputed research journals in the field of microbiology. He has organized several workshops, and national/international conferences as organizing and joint organizing secretary.