H094
Intelligent River Basin Management: Advances in Monitoring, Modeling, and Managing Water Resources
Session ID#: 249314
Session Description:
Rising climate variability, extreme events, and competing demands on water resources are transforming the way river basins are monitored and managed. This session explores intelligent, technology-driven frameworks that fuse Earth observations, AI/ML, and hydrological modeling to enable smart, adaptive, and climate-resilient river basin management. We welcome studies focusing on., (i) Remote sensing applications for dynamic monitoring of water quantity and quality, (ii) Next-generation Physics and AI-based Decision Support Systems (DSSs) across diverse basin scales, (iii) Integrated river basin planning and management, including waterbody rejuvenation, (iv) Reservoir operation models and adaptive tools for tracking Water Dynamics and Ecosystem Health, and (v) Case studies involving collaboration with government or basin authorities. This session welcomes researchers, practitioners, and decision-makers working across hydrology, data science, water management, and policy to share advances at the intersection of environmental intelligence, emerging technologies, and basin-scale governance - towards scalable, operational, and climate-resilient river basin solutions.
Index Terms:
1805 Computational hydrology [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1880 Water management [HYDROLOGY]
Primary Convener: Manabendra Saharia, Indian Institute of Technology Delhi, Department of Civil Engineering, New Delhi, India
Conveners: Bhagu Ram Chahar, Indian Institute of Technology Delhi, Department of Civil Engineering, New Delhi, India, Balaji Rajagopalan, University of Colorado at Boulder, Department of Civil, Environmental and Architectural Engineering and CIRES, Boulder, United States and Rajib Kumar Bhattacharjya, Indian Institute of Technology Guwahati, Department of Civil Engineering, Guwahati, India
Student/Early Career Convener: Ishita Afreen Ahmed, Indian Institute of Technology Delhi, Department of Civil Engineering, New Delhi, India
Open-Source Water Systems Modeling Coupled with Deep Learning to Advance Water Availability Assessments in the Delaware River Basin (Invited) (1848253)
Patrick M Reed1, Trevor Amestoy1 and Chung-Yi Lin2, (1)Cornell University, School of Civil and Environmental Engineering, Ithaca, NY, United States, (2)Cornell University, School of Civil and Environmental Engineering, Ithaca, United States
Integrated Riverine Flood Warning System Coupling River Stage Predictions with Hydraulic Modeling (1925046)
Naman Rastogi, University of Colorado at Boulder, Civil, Environmental, and Architectural Engineering and Cooperative Institute for Research in Environmental Sciences, Boulder, United States, Balaji Rajagopalan, Univ Colorado, Civil, Environmental, and Architectural Engineering and Cooperative Institute for Research in Environmental Sciences, Boulder, United States, Thomas M Hopson, NSF National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States and J. Toby Minear, CIRES/University of Colorado, Boulder, United States
Rapid Flood Inundation Mapping and Flood Hazard Zonation using Sentinel-1 SAR data, a Case Study of Kopili River in Assam, India (1937257)
Kiran S, Indian Institute of Technology Guwahati, Guwahati, India; Sikkim Manipal Institute of Technology, Majitar, India, Dhruba Jyoti Sarmah, Indian Institute of Technology Guwahati, Centre for Sustainable Water Research, Guwahati, India and Rajib Kumar Bhattacharjya, Indian Institute of Technology Guwahati, Department of Civil Engineering, Guwahati, India
High-Resolution CMIP6 Downscaled Precipitation And Temperature Dataset Over South Asia (1939107)
Neharika Bhattarai1, Martyn P Clark2 and Manabendra Saharia1, (1)Indian Institute of Technology Delhi, Department of Civil Engineering, New Delhi, India, (2)University of Calgary, Department of Civil Engineering, Schulich School of Engineering, Calgary, AB, Canada
Quantifying Riverbed Clogging in Recharge Systems: Parameter Sensitivity and Model Comparison (1939405)
Moulshree Tripathi1, Abdul Munim Tahir2, Abdul Razzaq Khan3, Prabhas Kumar Yadav4, Bhagu Ram Chahar1 and Thomas Grischek5, (1)Indian Institute of Technology Delhi, Department of Civil Engineering, New Delhi, India, (2)Die Autobahn GmbH Des Bundes, A4, Land Conservation, Nature-, Soil-, and Waterbodies Protection, Montabaur, Germany, (3)Aligarh Muslim University, Department of Civil Engineering, Aligarh, India, (4)University of Tübingen, Department of Geosciences, Hydrogeochemistry, Tübingen, Germany, (5)HTW Dresden, Water Sciences, Dresden, Germany
Integrating Aquatic Drone, Autonomous Surface Vehicle, and Unmanned Aerial Vehicle Platforms for 3D Flow and Water Quality Mapping in Riverine Systems (1964789)
Jihee Seo1, Ekaterina Miliutina1, Basit Akinade1, Brodie Alexander2, Jack Balthasar2, Matthew C. Gyves3, Aijun Song2, Hongxing Liu1 and R Russell Lotspeich4, (1)The University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States, (2)The University of Alabama, Department of Electrical and Computer Engineering, Tuscaloosa, AL, United States, (3)U.S. Geological Survey, Pennsylvania Water Science Center, Downingtown, PA, United States, (4)U.S. Geological Survey, Observing Systems Division, Richmond, VA, United States
