H089
Innovations in Water Resources Planning and Management – Monitoring, Modelling, and Stakeholder Engagement
Session ID#: 251111
Session Description:
This session addresses the critical challenge of data-informed and stakeholder-informed water resources planning and management. We seek contributions showcasing novel tools and methodologies for monitoring, assessing, planning, managing, and allocating water resources in the face of climate change, population growth, and land use shifts. We encourage presentations highlighting successful approaches to stakeholder engagement and participatory modeling in water management decision-making processes. Further, evaluating and understanding the source of conflicting stakeholder objectives and the impact on the decision-making progress is essential, and this session will welcome presentations that use strategies such as game theory to understand these conflicts and resolutions. By exploring innovative strategies and fostering dialogue between researchers, practitioners, and stakeholders, this session aims to advance our understanding of integrated water resource planning and promote effective adaptation strategies in a rapidly changing world. Presentations on water resources planning for looming AI infrastructure are especially encouraged.
Index Terms:
1812 Drought [HYDROLOGY]
1876 Water budgets [HYDROLOGY]
1880 Water management [HYDROLOGY]
1884 Water supply [HYDROLOGY]
Primary Convener: Zhenxing Zhang, University of Illinois at Urbana Champaign, Urbana, IL, United States
Convener: Daniel B Abrams, University of Illinois, Illinois State Water Survey, Champaign, IL, United States
AI-Driven Forecasting of Lake Ontario Water Levels: A Comparative Analysis of Univariate and Multivariate Approaches (1880859)
Afeef Ahmad, Clarkson University, Potsdam, NY, United States, Sayed Mahdi, Clarkson University, Civil Engineering Department, Potsdam, United States, Tyler J Smith, Clarkson University, Department of Civil & Environmental Engineering, Potsdam, NY, United States and Abul Baki, Clarkson University, Civil and Environmental Engineering, Potsdam, United States
Novel Methodology for Prioritizing Wells for Groundwater Monitoring in the Arkansas Headwaters Basin (1884110)
Eleanor Fahrney, University of Colorado Denver, Department of Civil Engineering, Denver, United States, David C Mays, University of Colorado Denver, Civil Engineering, Denver, United States and Connor Newman, US Geological Survey, Colorado Water Science Center, Lakewood, United States
Shared Vision Model for Drought Management: Application to the Geum River Basin, Korea (1889849)
Seo Hyung Choi1, Jaehwang Lee1, Joohyung Lee2 and Young-Oh Kim3, (1)Seoul National University, Seoul, Korea, Republic of (South), (2)Seoul National University, Seoul, South Korea, (3)Seoul National University, Civil and Environmental Engineering, Seoul, Korea, Republic of (South)
Developing a Framework to Expand Stream Gage Network: Gage Gap Analysis and Prioritization in Missouri (1894330)
Hari Dhital1, Dr. Bong Chul Seo, Ph.D.2, Steven Corns3, Robert R. Holmes Jr.4 and Joel Burken4, (1)Missouri University of Science and Technology, Rolla, MO, United States, (2)Missouri University of Science and Technology, Rolla, United States, (3)Missouri University of Science and Technology, Engineering Management and Systems Engineering, Rolla, United States, (4)Missouri University of Science and Technology, Civil, Architectural, Environmental Engineering, Rolla, United States
Multiscale Dynamics of Groundwater Recharge in a Fractured Volcanic Aquifer in Southern Brazil (1902271)
Rodrigo Aguilar Guimarães1, Camila Müller Athayde2, Leila Limberger Ms.3, Lucas Garcia4, Milena Olivi5 and Gustavo Athayde2, (1)Federal University of Paraná, Curitiba, PR, BRAZIL, (2)Universidade Federal do Paraná, Hydrogeological Research Laboratory, Curitiba, Brazil, (3)Universidade Estadual do Oeste do Paraná, Marechal Cândido Rondon, Brazil, (4)Itaipu Binacional, Foz do Iguaçu, Brazil, (5)Itaipu Parquetec, Foz do Iguaçu, Brazil
Quantitative Assessment of Flood Risk Reduction Benefits from Nature-Based Solutions: A Case Study of the Jangdong District, South Korea (1905674)
Yujin Kang1, Jaeseung Seo1, Junhyeong Lee2, Seonuk Baek2 and Hung Soo Kim2, (1)Inha University, Incheon, Korea, Republic of (South), (2)Inha University, Incheon, South Korea
Improvement of urban climate change adaptation resiliency based on integrated urban water monitoring system (1909453)
János Tamás1, Zsolt Zoltán Fehér2, Imre Boczonadi2, Sándor Kun2 and Attila Nagy2, (1)University of Debrecen, Water and Environmental Management, Debrecen, Hungary, (2)University of Debrecen, Debrecen, Hungary
Mapping the AI Footprint: A Geospatial Assessment of Energy-Water Stress in U.S. Data Centers (1915211)
Hussain Haider Bokhari1, Jose Pillich2, Evan Feusi3, Fabio Corsi1,4 and Charles J. Vörösmarty1,4, (1)Advanced Science Research Center at the CUNY Graduate Center, Environmental Sciences Initiative, New York, United States, (2)IQSpatial, New York City, United States, (3)CUNY Hunter College, New York, United States, (4)CUNY Hunter College, Geography and Environmental Science, New York, United States
Water–Energy-Token Nexus: Emerging Sustainability Questions in the Age of Large Language Models and Agentic AI (1957904)
Dr. Wenzhao Li1, Huihuo Zheng2, Rejoice Thomas3 and Hesham Mohamed El-Askary1, (1)Chapman University, Schmid College of Science and Technology, Orange, CA, United States, (2)Argonne National Laboratory, Argonne Leadership Computing Facility, Argonne, United States, (3)Chapman University, Schmid College of Science and Technology, Orange, United States
Integrating Scientific Modeling and Environmental Financing for Urban Resilience (1958222)
Kolin Bilbrew1, Thomas Douthat2, Clinton S Willson3, Julianna Rhodes1, Taylor Horton4 and Integrating Scientific Modeling and Environmental Financing for Urban Resilience Team, (1)Louisiana State University, Baton Rouge, LA, United States, (2)Louisiana State University, Environmental Science, Baton Rouge, United States, (3)Louisiana State University, Civil and Environmental Engineering, Baton Rouge, LA, United States, (4)Louisiana State University, Baton Rouge, United States
Assessment of Surface Water Interactions Between the Upper Floridan and Claiborne Aquifers During Historical Hydrologic Extremes (1962094)
Rajesh Khatakho, University of Georgia, Athens, GA, United States, Ritesh Karki, University of Maryland, Maryland Agricultural Experiment Station (MAES), College of Agriculture and Natural Resources, College Park, United States, David E. Stooksbury, Univerisity of Georgia, School of Environmental, Civil, Agricultural & Mechanical Engineering, Athens, United States, Ernest W Tollner, University of Georgia, Engineering, Athens, United States, Adam Milewski, University of Georgia, Department of Geology, Athens, United States and Nandita Gaur, University of Georgia, Crop and Soil Sciences, Athens, United States
Developing a Modern Watershed Simulation Framework: Multi-Model Insights into Water Quantity and Quality in the Occoquan Watershed (1973593)
Vishwa Shah1, Lalit Pal2, Ayden Baran3, Megan Rippy4, Stanley Baugh Grant4, Normand Goulet5 and Siddharth Saksena2, (1)Virginia Polytechnic Institute and State University, Civil and Environmental Engineering, Blacksburg, VA, United States, (2)Virginia Polytechnic Institute and State University, Civil and Environmental Engineering, Blacksburg, United States, (3)Virginia Polytechnic Institute and State University, Department of Civil and Environmental Engineering, Occoquan Watershed Monitoring Lab, Manassas, United States, (4)Virginia Polytechnic Institute and State University, Civil and Environmental Engineering, Manassas, United States, (5)Northern Virginia Regional Commission, Fairfax, United States
Analytical Estimation of Cross-Sectional Velocity Distribution Using Index-velocity acquired with Horizontal Acoustic Doppler Current Profilers (H-ADCP) (1982258)
Kyeongdong Kim, IIHR—Hydroscience and Engineering, Iowa City, IA, United States, Marian Muste, The University of Iowa, Iowa City, IA, United States and Alexandre Hauet, Université Grenoble Alpes, Institut des Géosciences de l’Environnement (IGE) – Équipe Hydrimz, Saint Martin d’Hères, France
Physically Based Distributed Hydrologic Modeling of a Recent Catastrophic Flood in the Upper Guadalupe River, Texas (1994735)
Almoutaz El Hassan1, Ripendra Awal1, Ali Fares2, Chad Furl3 and Richard Griffin1, (1)Prairie View A & M University, Cooperative Agricultural research center, Prairie View, United States, (2)Prairie View A & M University, Cooperative Agricultural Research Center, Prairie View, United States, (3)Edwards Aquifer Authority, San Antonio, United States
