235 Advancing the Understanding and Management of Groundwater Pollution with Arsenic and Other Geogenic Contaminants Using Geospatial Tools, Machine Learning, and Data Science, Part I
The growing trend of data aggregation and analysis, along with emerging technologies like machine learning, has significantly improved our understanding of groundwater basins, enabling better assessments of water quality for direct consumption and treatment in groundwater supply management.
Wednesday, 22 October 2025
8:00 AM - 12:00 PM
HBGCC, 210AB
WATER–SEDIMENT DYNAMICS AND HYDROGEOCHEMICAL PROCESSES INFLUENCING THE MOBILITY OF ARSENIC AND OTHER TRACE ELEMENTS IN VOLCANIC BASINS OF THE CENTRAL BOLIVIAN ALTIPLANO
Paper number: 235-4
Program: Technical Sessions
Time: 8:50 AM – 9:05 AM
Authors
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Israel Quino LimaMayor de San Andres University, La Paz, Bolivia
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Mauricio Ormachea MuñozMayor de San Andres University, La Paz, Bolivia
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Oswaldo Ramos RamosMayor de San Andres University, La Paz, Bolivia
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Prosun BhattacharyaRoyal Institute of Technology University, Stockholm, Sweden
Abstract
Geological Society of America Abstracts with Programs. Vol. 57, No. 6
doi: 10.1130/abs/2025AM-412007
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