T212 Machine Learning in Hydrogeology

Thursday, 29 October 2020
1:30 PM - 5:30 PM
Meeting Rooms

Presentations

• 1:35 PM
  NOVEL HYDROGEOLOGICAL PREDICTIONS AND INFERENCES USING MACHINE LEARNING ALGORITHMS: THREE ILLUSTRATIVE EXAMPLES
  Mohd Yusuf Jameel, Massachusetts Institute of Technology, Cambridge, MA and Mason Stahl, Union College, Schenectady, NY and Jaclyn Gehring, Union College, Schenectady, NY and Denis Valle, University of Florida, Gainesville, FL
  354852 (Technical Sessions)
• 1:50 PM
  HIGH-RESOLUTION NATIONAL-SCALE HYDROGEOLOGIC DATASETS IN SUPPORT OF MACHINE LEARNING MODELS
  Kenneth Belitz, Earth System Processes Division, Carlisle, MA
  357568 (Technical Sessions)
• 2:05 PM
  USING MACHINE-LEARNING PREDICTIONS OF GROUNDWATER SALINITY TO ASSESS WATER AVAILABILITY IN THE MISSISSIPPI RIVER VALLEY ALLUVIAL AQUIFER
  Courtney Killian, Lower Mississippi-Gulf Water Science Center, Pearl, MS and Katherine Knierim, Lower Mississippi Gulf Water Science Center, Little Rock, AR
  355904 (Technical Sessions)
• 2:20 PM
  DOWNSCALING OF GRACE TWSA IN HIGHLY STRESSED AQUIFER SYSTEMS, THE CENTRAL VALLEY AQUIFER, USING MACHINE LEARNING
  Dawit Asfaw, Illinois State University, Normal, IL and Dawit Asfaw, Normal, IL and Wondwosen Seyoum, Illinois State University, Normal, IL
  358858 (Technical Sessions)
• 2:55 PM
  GHOST IN THE MACHINE: USING ARTIFICIAL INTELLIGENCE, TRAINED ON GROUNDWATER MODELS, FOR RAPID DECISION SUPPORT
  Michael Fienen, Upper Midwest Water Science Center, Madison, WI
  358960 (Technical Sessions)
• 3:10 PM
  COUPLED PHYSICAL SIMULATION (PS) AND MACHINE LEARNING (ML) FOR MAPPING GROUNDWATER AGE
  Jeff Starn, 101 Pitkin Street, East Hartford, CT
  352970 (Technical Sessions)
• 3:25 PM
  USING MACHINE LEARNING TO PREDICT HIGH ARSENIC OR HIGH MANGANESE AT DRINKING WATER DEPTHS OF THE GLACIAL AQUIFER SYSTEM, NORTHERN CONTINENTAL US
  Melinda L. Erickson, Upper Midwest Water Science Center, Mounds View, MN and Sarah M. Elliott, Upper Midwest Water Science Center, Mounds View, MN and Paul Stackelberg, U.S. Geological Survey, Troy, NY and Craig J. Brown, U.S. Geological Survey, East Hartford, CT and Katherine M Ransom, U.S. Geological Survey, Sacramento, CA and James E. Reddy, U.S. Geological Survey, Ithaca, NY
  350732 (Technical Sessions)
• 3:40 PM
  FUZZY RULE-BASED SYSTEMS FOR MULTIVARIATE AND UNIVARIATE HYDROLOGICAL FORECASTING
  Boris Faybishenko, Lawrence Berkeley National Laboratory, Berkeley, CA and Boris Faybishenko, Lawrence Berkeley National Laboratory, Berkeley, CA and Juliane Mueller, Lawrence Berkeley National Laboratory, Berkeley, CA and Reetik Sahu, Lawrence Berkeley National Laboratory, Berkeley, CA and Jangho Park, Lawrence Berkeley National Laboratory, Berkeley, CA and Bhavna Arora, Lawrence Berkeley National Laboratory, Berkeley, CA and Charuleka Varadharajan, Lawrence Berkeley National Laboratory, Berkeley, CA and Deborah Agarwal, Lawrence Berkeley National Laboratory, Berkeley, CA
  358604 (Technical Sessions)
• 4:15 PM
  PROCESS-GUIDED DEEP LEARNING FOR WATER TEMPERATURE PREDICTION
  Alison Appling, US Geological Survey, Reston, VA and Xiaowei Jia, University of Pittsburgh, Pittsburgh, PA and Jared Willard, University of Minnesota Twin Cities, Minneapolis, MN and Samantha K. Oliver, US Geological Survey, Middleton, WI and Jeffrey M. Sadler, Data Science Branch, Integrated Information Dissemination Division, State College, PA and Jacob A. Zwart, Data Science Branch, Integrated Information Dissemination Division, State College, PA and Jordan S. Read, Data Science Branch, Integrated Information Dissemination Division, State College, PA and Vipin Kumar, University of Minnesota Twin Cities, Minneapolis, MN
  354799 (Technical Sessions)
• 4:30 PM
  SUBSURFACE PARAMETER UNCERTAINTY QUANTIFICATION USING ENVIRONMENTAL TRACERS AND SURROGATE MODELING METHODS
  Nicholas Thiros, University of Montana Geoscience, Missoula, MT and Willam Gardner, University of Montana, Missoula, MT
  357467 (Technical Sessions)
• 4:45 PM
  FLOODING DRIVES GROUNDWATER ARSENIC CONTAMINATION IN SOUTHEAST ASIA
  Craig Connolly, Lamont-Doherty Earth Observatory Columbia Univ, Rt 9W, Palisades, NY and Mason Stahl, Union College, Schenectady, NY and Beck DeYoung, Union College, Schenectady, NY and Benjamin Bostick, Columbia University, Palisades, NY
  354743 (Technical Sessions)
• 5:00 PM
  MACHINE LEARNING TO CHARACTERIZE REGIONAL GEOTHERMAL RESERVOIRS IN THE WESTERN USA
  Bulbul Ahmmed, Los Alamos National Laboratory, Los Alamos, NM and Bulbul Ahmmed, Baylor University, Waco, TX and Velimir Vesselinov, Los Alamos National Laboratory, Los Alamos, NM and Maruti K. Mudunuru, Los Alamos National Laboratory, Los Alamos, NM
  358249 (Technical Sessions)