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Session Proposal: Advancing Hydroinformatics with Artificial Intelligence: Transforming Data into Action for Integrated Water Resource Management (AGU25)

IN007
Advancing Hydroinformatics with Artificial Intelligence: Transforming Data into Action for Integrated Water Resource Management

Session ID#: 252751

Session Description:
The integration of Artificial Intelligence (AI) into Hydroinformatics is revolutionizing the way we understand, manage, and protect water resources. As data from sensors, satellite observations, and historical records becomes more comprehensive, AI offers a powerful pathway for converting this information into actionable insights. This session solicits abstracts that focuses on the application of Data Science And Artificial Intelligence in addressing various water-related challenges—ranging from flood forecasting and drought management to smart water infrastructure, water quality monitoring, and reservoir operations. Contributions may include novel algorithms, innovative data integration techniques, real-time decision support systems, and case studies demonstrating AI’s role in advancing Integrated Water Resource Management (IWRM). The session aims to foster interdisciplinary dialogue between data scientists, hydrologists, engineers, and policymakers to accelerate the responsible deployment of AI in integrated water resource management.
Co-Sponsor(s):
  • GC - Global Environmental Change
  • H - Hydrology
  • SY - Science and Society
Index Terms:

1880 Water management [HYDROLOGY]
1906 Computational models, algorithms [INFORMATICS]
1920 Emerging informatics technologies [INFORMATICS]
1942 Machine learning [INFORMATICS]
Primary Convener:  Debjani Singh, Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN, United States
Convener:  Debjani Singh, Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN, United States
 
WaterCopilot: An AI-Driven Intelligent Agent for Sustainable Water Management (1939299)
Keerththanan Vickneswaran1, Hugo Retief2, Mariangel Garcia1, Rafael Padilha3, Paulo Silva1, Chris Dickens1 and Surajit Ghosh1, (1)International Water Management Institute, Colombo, Sri Lanka, (2)Association for Water and Rural Development (AWARD), Hoedspruit, South Africa, (3)Microsoft Research, Microsoft, São Paulo, Brazil
 
From YOLO to VLMs: Advancing Zero-Shot and Few-Shot Detection of Wastewater Treatment Plants Using Satellite Imagery in MENA Region (1985781)
Akila Premarathna, Kanishka Hewageegana, Mariangel Garcia and Diogo Botelheiro, International Water Management Institute, Colombo, Sri Lanka
 
Emphasizing Reproducibility During Workflow Development: A Decision-Support Framework for User Validation of AI/ML Outputs (1986036)
Thomas Alan Ruggles, Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States, Hong-Jun Yoon, Oak Ridge National Laboratory, Computational Sciences and Engineering Division, Oak Ridge, United States, Arjun Bhattacharya, University of Tennessee, Bredesen Center, Knoxville, United States and Debjani Singh, Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN, United States
 
HydroSource: A National-Scale Digital Infrastructure for Hydropower Data, Research, and Decision Support (1999772)
Debjani Singh1, Molly Foley2 and Thomas Alan Ruggles2, (1)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN, United States, (2)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States
See more of: Informatics
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