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275 T92. Advancing the Understanding and Management of Groundwater Pollution with Arsenic and Other Geogenic Contaminants Using Geospatial Tools, Machine Learning, and Data Science, Part II
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 | 01:30 PM | 01:35 PM | 5 min | 275-1 | Long Term Monitoring of Groundwater Quality and Levels during and after the Transition from Agriculture to Solar in Central Wisconsin | David Hart | 01:35 PM | 01:50 PM | 15 min | View | 275-2 | Mapping Spatial and Temporal Variations of Key Water Parameters Affecting Environmental and Human Health in the Lower Brazos River, Texas | Cassidy Lane | 01:50 PM | 02:05 PM | 15 min | View | 275-3 | Field Compatible XRF Preparation Techniques for Trace Elemental Analysis of Groundwater and Soil Surveys | Lee Fields | 02:05 PM | 02:20 PM | 15 min | View | 275-4 | Hydrogeochemical Characterization and Quality Assessment of Groundwater in the Water-Stressed Drought-Prone Southeastern Region of Rwanda. | Emmanuel Ngendahayo | 02:20 PM | 02:35 PM | 15 min | View | 275-5 | Geogenic contamination of soil and groundwater in mining regions of Zambia | Kawawa Banda | 02:35 PM | 02:50 PM | 15 min | View | Break | 02:50 PM | 03:05 PM | 15 min | 275-6 | Occurrence of Heavy Metals in Bangladesh Urban Soils and Moldovan Rural Soils: A Comparative Study | Ayanna Stewart | 03:05 PM | 03:20 PM | 15 min | View | 275-7 | Machine learning-based prediction of groundwater arsenic risk for sustainable paddy cultivation in Jorhat, Assam, India | Parimita Saikia | 03:20 PM | 03:35 PM | 15 min | View | 275-8 | Geostatistical Insights into Fluoride Risk Zones in Rwanda’s Drinking Water Sources | Julian Ijumulana | 03:35 PM | 03:50 PM | 15 min | View | 275-9 | Hydrogeochemical Characterization of Tertiary Aquifers in Cox’s Bazar, Bangladesh Using Machine Learning Techniques | Sumiya Sadeak | 03:50 PM | 04:05 PM | 15 min | View | 275-10 | How to catch multi-pressure, multi-scale, multi-layered aquifer processes? A multi-tracer and multi-clustering strategy in Kelantan, Malaysia | Prosun Bhattacharya | 04:05 PM | 04:20 PM | 15 min | View | Discussion | 04:20 PM | 04:35 PM | 15 min | Concluding Remarks | 04:35 PM | 04:40 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 II
Description
Date and Time: Wednesday, 22 Oct - 1:30 PM (Central Time (US & Canada))
Room: HBGCC, 210AB
Session Type: Topical Sessions
Session Format: Oral
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