GH021
Harnessing Geospatial Data to Address Drinking Water Exposures and Public Health Impacts
Session ID#: 248205
Session Description:
Research at the intersection of water and health is rapidly expanding, as data science and machine learning unlock new ways to assess environmental exposures in under-monitored settings. Private wells and small systems—serving millions in the U.S.—face rising challenges from climate change, aging infrastructure, and regulatory gaps. Understanding exposures and health risks in these systems is difficult due to fragmented, incomplete, or inaccessible data. This session aims to build capacity for using advanced analytics to address these issues through a transdisciplinary lens. We welcome submissions on hydrologic models, contaminant prediction, health outcome analysis, and risk mapping across spatial and temporal scales. Topics include machine learning to predict contaminants (e.g., arsenic, E. coli, nitrate, PFAS), data integration to resolve misalignment, behaviors affecting exposure or model accuracy, infrastructure characteristics, and social determinants of water quality or health. We invite contributions from researchers and practitioners working at the nexus of water and health.
Co-Sponsor(s):
Index Terms:
0230 Impacts of climate change: human health [GEOHEALTH]
1831 Groundwater quality [HYDROLOGY]
1910 Data assimilation, integration and fusion [INFORMATICS]
1942 Machine learning [INFORMATICS]
Primary Convener: Xindi Hu, George Washington University, Washington, DC, United States
Conveners: Sam Ying, University of California Riverside, Environmental Sciences, Riverside, United States and Ann Ojeda, Auburn University, Geosciences, Montgomery, United States
Student/Early Career Convener: Jahred Liddie, Harvard University, John A. Paulson School of Engineering and Applied Sciences, Cambridge, United States
Sociodemographic Barriers to Advancements in Water Treatment among U.S. Community Water Systems (1881428)
Jahred Liddie1,2, Mona Dai1, Gary Adamkiewicz2 and Elsie M Sunderland1,2, (1)Harvard University, John A. Paulson School of Engineering and Applied Sciences, Cambridge, United States, (2)Harvard University, T. H. Chan School of Public Health, Boston, United States
High-Resolution Analysis of Demographic and Socioeconomic Characteristics of Households with Private Wells in the USA (1893495)
Caroline Sear, Virginia Polytechnic Institute and State University, Department of Civil and Environmental Engineering, Blacksburg, United States, Alasdair Cohen, Virginia Polytechnic Institute and State University, Department of Population Health Sciences, Blacksburg, United States and Landon Marston, Virginia Tech, Department of Civil and Environmental Engineering, Blacksburg, United States
Exposures to Drinking Water Contaminants and Risk of Ovarian and Endometrial Cancer Among Women in California (Invited) (1899469)
Maya Spaur1, Jared Fisher1, Lauren Hurwitz1, Amina Chtourou1, Komal Bangia2, Alexander Keil1, Anne Nigra3, Laura Beane Freeman1, Mary Ward1 and Rena Jones1, (1)National Institutes of Health, Occupational & Environmental Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville, United States, (2)Cal EPA, Office of Environmental Health Hazard Assessment (OEHHA), Sacramento, United States, (3)Columbia University of New York, Environmental Health Sciences, Mailman School of Public Health, New York, United States
PFAS Exposure in North Carolina: A Geospatial Analysis of Likely Contamination Sources and Their Impact on Drinking Water Over Time (1924797)
Rachel Campbell-Baier1, Harrison B Zeff2, Marc L Serre1 and Gregory W Characklis3, (1)University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, (2)University of North Carolina at Chapel Hill, Department of Environmental Sciences and Engineering, Chapel Hill, United States, (3)University of North Carolina at Chapel Hill, Institute for Risk Management and Insurance Innovation, Chapel Hill, United States
Drivers and Dynamics of Groundwater Nitrate Contamination in Nebraska's Watersheds (1925262)
Azar Abadi, University of Alabama at Birmingham, School of Public Health, Environmental Health Sciences Department, Birmingham, AL, United States, Siddhi Munde, MSc, University of Nebraska Medical Center, Environmental, Agricultural, and Occupational Health, Omaha, United States, Karrie A Weber, University of Nebraska-Lincoln, School of Biological Sciences, Lincoln, United States, Richard V Remigio, National Institutes of Health, Occupational & Environmental Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, MD, United States, Yusong Li, University of Nebraska-Lincoln, Civil Engineering, Lincoln, NE, United States, Yeongjin Gwon, University of Nebraska Medical Center, Biostatistics, Omaha, United States, Shannon Bartelt-Hunt, University of Nebraska - Lincoln, Civil and Environmental Engineering, Lincoln, United States and Jesse E Bell, University of Nebraska Medical Center, Environmental, Agricultural and Occupational Health, Omaha, United States
A Geospatial Model to Predict Nitrate in Groundwater to Elucidate the Relationship Between Private Well Use and Cardiovascular Health (1954452)
Helen Moylan1, Kyle Philip Messier2, Matthew Loop3 and Ann Ojeda1, (1)Auburn University, Department of Geosciences, Auburn, United States, (2)National Institutes of Health, Predictive Toxiciology Branch, Division of Translational Toxicology, National Institute of Environmental Health Sciences, Durham, United States, (3)Auburn University, Department of Health Outcomes Research and Policy, Auburn, United States
PFAS risk in Tennessee drinking water supply: A data-driven approach to identify vulnerable communities (1960819)
Jonathan M Gilligan, Vanderbilt University, Earth and Environmental Science, Nashville, TN, United States, Paul M. Johnson, Vanderbilt University, Civil & Environmental Engineering, Nashville, United States, Natalie Robbins, Vanderbilt University, Department of Anthropology, Nashville, United States, Ferna Alvarez-Carrascal, Vanderbilt University, Earth and Environmental Science, Nashville, United States, Hiba Baroud, Vanderbilt University, Nashville, United States and Yolanda J McDonald, Vanderbilt University, Department of Human and Organizational Development, Nashville, TN, United States
Forecasting the Human Health Impacts of Ocean Plastics: An Integrated Approach Using Synthetic Populations and Hydrodynamic Modeling (1988295)
Ajay K Gupta1, Antonio Correas2, Nathan Kunz3 and Paul A Churchyard1, (1)HSR.health, Rockville, United States, (2)Skymantics, Bethesda, MD, UNITED STATES, (3)Skymantics, Melbourne, FL, United States
Learning to Trace PFAS at the CONUS scale: Machine Learning Reveals Industrial Sector-Specific Risk Patterns in U.S. Water Systems (1989945)
Priyanshu Gupta1, Hogan Nance1, Khang Nguyen1, Raman Dhiman2 and Manish Kumaar1,2, (1)University of Texas at Austin, Maseeh Department of Civil, Architectural and Environmental Engineering, Austin, United States, (2)University of Texas at Austin, McKetta Department of Chemical Engineering, Austin, United States
