T11 Groundwater Pollution with Arsenic and Other Geogenic Legacy Contaminants, Related Health Risks and Management I: Advancing Learning through Geospatial Tools, Machine Learning, Data Science, and Artificial Intelligence

Sunday, 22 September 2024
8:00 AM - 12:00 PM
211A

DEDUCING AND PROJECTING ARSENIC THREATS TO GROUNDWATER: A DATA SCIENCE APPROACH EXEMPLIFIED FOR THE SAN LUIS VALLEY, COLORADO, USA

Paper number: T11-8
Program: Technical Sessions
Time: 9:45 AM – 10:05 AM

Authors

  • Alexander Honeyman
    Department of Earth System Science, Doerr School of Sustainability, Stanford, CA
  • Alandra Lopez
    Department of Earth System Science, Doerr School of Sustainability, Stanford, CA
  • Ryan Smith
    Colorado State University, Fort Collins, CO
  • Kathy James
    Colorado School of Public Health, University of Colorado, Aurora, CO
  • Scott Fendorf Presenting Author
    Department of Earth System Science, Doerr School of Sustainability, Stanford, CA

Abstract

No abstract text on file.

Geological Society of America Abstracts with Programs. Vol. 56, No. 5

doi: 10.1130/abs/2024AM-405672

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