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235 T92. Advancing the Understanding and Management of Groundwater Pollution with Arsenic and Other Geogenic Contaminants Using Geospatial Tools, Machine Learning, and Data Science, Part I
Session Chairs:
Prosun Bhattacharya, Abhijit Mukherjee, Saugata Datta, Mohammad Ayaz Alam, Julian Ijumulana, Bibhash Nath
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.
Presentations
| Paper No. | Title | Presenting Author | Start Time | End Time | Item Duration (min) | Action | Introductory Remarks | 08:00 AM | 08:05 AM | 5 min | 235-1 | Occurrence of Heavy Metals in Bangladesh Urban Soils and Moldovan Rural Soils: A Comparative Study | Ayanna Stewart | 08:05 AM | 08:20 AM | 15 min | View | 235-2 | Unraveling the effects of residence time and temperature on arsenic mobilization in geothermal groundwater | Shiping Xing | 08:20 AM | 08:35 AM | 15 min | View | 235-3 | Geogenic Arsenic, Boron, and Lithium as Key Determinants of Groundwater Quality in the Lithium-Rich Coipasa Salt Basin, Bolivian Altiplano | Lizangela Huallpara | 08:35 AM | 08:50 AM | 15 min | View | 235-4 | WATER–SEDIMENT DYNAMICS AND HYDROGEOCHEMICAL PROCESSES INFLUENCING THE MOBILITY OF ARSENIC AND OTHER TRACE ELEMENTS IN VOLCANIC BASINS OF THE CENTRAL BOLIVIAN ALTIPLANO | Maria Chambi Tapia | 08:50 AM | 09:05 AM | 15 min | View | 235-5 | Arsenic Dynamics in Waters and Sediments of the TDPS (Titicaca–Desaguadero–Poopó–Salar de Coipasa) System: Integrating Speciation, Natural Sources, and Anthropogenic Influences | Luis Fernando Caceres Choque | 09:05 AM | 09:20 AM | 15 min | View | 235-6 | Understanding the geochemical processes affecting geogenic pollutants, fluoride in alluvial and hard rock aquifers in the Indo-Gangetic Plains of Northern India | Jyoti Kushawaha | 09:20 AM | 09:35 AM | 15 min | View | Break | 09:35 AM | 09:50 AM | 15 min | 235-7 | Geospatial machine learning for predicting groundwater arsenic contamination: Implications for human health | Bibhash Nath | 09:50 AM | 10:05 AM | 15 min | View | 235-8 | Delineating Arsenic safe groundwater in parts of Ganga basin, India | Tridip Bhowmik | 10:05 AM | 10:20 AM | 15 min | View | 235-9 | Groundwater Arsenic Attributable Cancer Burden in India – Plausible Model Population Attributable Fractions (PAFs) Using AI/Machine Learning | David Polya | 10:20 AM | 10:40 AM | 20 min | View | 235-10 | Health risk from arsenic and other geogenic contaminants in the wheat irrigated with industrial effluents, ground water and canal water of Gujranwala, Punjab, Pakistan | Asif Javed | 10:40 AM | 10:55 AM | 15 min | View | 235-11 | An Integrated Data-Driven Strategy for Arsenic Mitigation in Bangladesh: Insights from 6.3 Million Tubewells and Hydrogeological Analytics | Prosun Bhattacharya | 10:55 AM | 11:10 AM | 15 min | View | 235-12 | Understanding the extent of Groundwater Pollution with Fluoride, Arsenic, and Other Geogenic Contaminants in Rwanda | Telesphore Habiyakare | 11:10 AM | 11:30 AM | 20 min | View | 235-13 | Community-Engaged Assessment of Groundwater Suitability and Challenges in the Karst Aquifers of Rockbridge County, Virginia | Madhumita Chakraborty | 11:30 AM | 11:45 AM | 15 min | View | Discussion | 11:45 AM | 11:55 AM | 10 min | Concluding Remarks | 11:55 AM | 12:00 PM | 5 min |
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Advancing the Understanding and Management of Groundwater Pollution with Arsenic and Other Geogenic Contaminants Using Geospatial Tools, Machine Learning, and Data Science, Part I
Description
Date and Time: Wednesday, 22 Oct - 8:00 AM (Central Time (US & Canada))
Room: HBGCC, 210AB
Session Type: Topical Sessions
Session Format: Oral
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