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GSA Connects 2021 in Portland, Oregon

Session No. 71
Monday, 11 October 2021: 8:00 AM-12:00 PM
D135 (Oregon Convention Center)

T48. Addressing Complex Problems in Hydrogeology with Big Data and Machine Learning

GSA Hydrogeology Division; GSA Karst Division; GSA Geoinformatics and Data Science Division

 

Paul Stackelberg, Kenneth Belitz, Mason Stahl and James J. Butler Jr., Advocates
Paper #
Start Time
 
8:00 AM
Introductory Remarks
71-1
8:05 AM
MOBILIZING SUSTAINABLE GROUNDWATER MANAGEMENT WITH BIG DATA (Invited Presentation)
PERRONE, Debra, UCSBEnvironmental Studies, 7097 Scripps Crescent St, Goleta, CA 93117-2954
Recorded Presentation
71-2
8:25 AM
ASSESSMENT AND CLASSIFICATION OF SEASONAL GROUNDWATER LEVEL DYNAMICS IN UNCONFINED AQUIFERS OF THE UNITED STATES
STAHL, Mason, Department of Geology, Union College, 807 Union Street, Schenectady, NY 12308, MAR, Tyler, Environmental Science, Policy, and Engineering, Union College, 807 Union Street, Schenectady, NY 12308 and JAMEEL, Mohd Yusuf, Civil and Environmental Engineering, Massachusetts Institute of Technology, 15 Vassar Street, Cambridge, MA 02139
Recorded Presentation
71-3
8:40 AM
METAMODELING OF GROUNDWATER WELL VULNERABILITY TO CONTAMINATION FOR ELUCIDATING POTENTIAL IMPACTS OF SHALE GAS DEVELOPMENT ON WATER QUALITY
SORIANO Jr., Mario1, SIEGEL, Helen G.1, JOHNSON, Nicholaus P.2, GUTCHESS, Kristina M.1, XIONG, Boya3, LI, Yunpo4, CLARK, Cassandra J.2, PLATA, Desiree L.4, DEZIEL, Nicole C.2 and SAIERS, James E.1, (1)School of the Environment, Yale University, New Haven, CT 06511, (2)School of Public Health, Yale University, New Haven, CT 06512, (3)Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139; Department of Civil, Environmental and Geo-Engineering, University of Minnesota, Minneapolis, MN 55455, (4)Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
71-4
8:55 AM
INCORPORATING AIRBORNE ELECTROMAGNETIC SURVEY DATA INTO MACHINE-LEARNING MODELS TO PREDICT GROUNDWATER SALINITY IN THE MISSISSIPPI RIVER VALLEY ALLUVIAL AQUIFER
KILLIAN, Courtney, U.S. Geological Survey, Lower Mississippi-Gulf Water Science Center, 308 Airport Road S., Pearl, MS 39208 and KNIERIM, Katherine, U.S. Geological Survey, Lower Mississippi Gulf Water Science Center, 401 Hardin Rd, Little Rock, AR 72211-3528
Recorded Presentation
 
9:10 AM
Discussion
71-5
9:25 AM
BIG-DATA SUPPORTED SIMULATION OF NITROGEN LOADING TO COASTAL WATERS, LONG ISLAND, NEW YORK (Invited Presentation)
WALTER, Donald, US Geological Survey, 10 Bearfoot Road, Northborough, MA 01532
71-6
9:45 AM
LEVERAGING DATA ASSIMILATION AND DEEP LEARNING WITH GENERATIVE ADVERSARIAL NETWORKS FOR IDENTIFICATION OF PREFERENTIAL PATHS IN COMPLEX AQUIFERS
BAO, Jichao and LI, Liangping, Department of Geology and Geological Engineering, South Dakota School of Mines and Technology, 501 East St. Joseph St, Rapid City, SD 57702
71-7
10:00 AM
THE USE OF DEEP LEARNING WITH PROGRESSIVE GROWING GENERATIVE ADVERSARIAL NETWORKS FOR CONNECTIVITY MODELING IN COMPLEX AQUIFERS
REDOLOZA, Fleford and LI, Liangping, Geology and Geological Engineering, South Dakota School of Mines and Technology, 324 E. St. Joseph Street, Rapid City, SD 57701
Recorded Presentation
71-8
10:15 AM
LEARNING TO REGULARIZE WITH A VARIATIONAL AUTOENCODER FOR HYDROGEOLOGIC INVERSE ANALYSIS
WU, Hao1, O'MALLEY, Daniel1, GOLDEN, John2 and VESSELINOV, Velimir3, (1)Earth and Environmental Science Devision, Los Alamos National Laboratory, Los Alamos, NM 87544, (2)Computer, computational, statistical sciences devision, Los Alamos National Laboratory, Los Alamos, NM 87544, (3)Computational Earth Science, Los Alamos National Laboratory, Los Alamos, NM 87545
Recorded Presentation
 
10:30 AM
Discussion
71-9
10:45 AM
MAPPING GROUNDWATER USE WITH SATELLITE SENSOR FUSION AND MACHINE LEARNING (Invited Presentation)
SMITH, Ryan1, MAJUMDAR, Sayantan1, HASAN, Md Fahim1, BUTLER Jr., J.J.2, LAKSHMI, Venkataraman3, CONWAY, Brian D.4 and RIGBY, James R.5, (1)Geological Engineering, Missouri S&T, 1400 N Bishop St, Rolla, MO 65409-6531, (2)Kansas Geological Survey, University of Kansas, 1930 Constant Ave, Lawrence, KS 66047-3724, (3)Engineering Systems and Environment, University of Virginia, P.O. Box 400224, Charlottesville, VA 22904-4224, (4)Arizona Department of Water Resources, 1110 W. Washington Ave, Suite 310, Phoenix, AZ 85007, (5)U.S. Geological Survey, Lower Mississippi-Gulf Water Science Center, 640 Grassmere Park, Nashville, TN 37211
71-10
11:05 AM
USING A 30-YEAR RECONSTRUCTION OF GROUNDWATER LEVELS IN CALIFORNIA’S CENTRAL VALLEY TO EVALUATE REGIONAL LINKAGES BETWEEN WATER USE AND QUALITY DURING DROUGHT
LEVY, Zeno, JURGENS, Bryant C. and FRAM, Miranda S., U.S. Geological Survey, California Water Science Center, 6000 J Street, Placer Hall, Sacramento, CA 95819
Recorded Presentation
71-11
11:20 AM
USING HIGH-RESOLUTION LIDAR AND DEEP LEARNING MODELS TO GENERATE MINIMUM THICKNESS MAPS OF SURFICIAL SEDIMENTS
ODOM III, William, DOCTOR, Daniel, BURKE, Caitlin E. and COX, Cheyenne L., U.S. Geological Survey, Florence Bascom Geoscience Center, 12201 Sunrise Valley Drive, MS 926A, Reston, VA 20192
Recorded Presentation
71-12
11:35 AM
DAGPY: A HIGHLY EFFICIENT OPEN-SOURCE PYTHON PACKAGE FOR DATA ASSIMILATION IN PRACTICAL GROUNDWATER MODELING VIA THE ENSEMBLE KALMAN FILTER
ALVAREZ, Oscar1, GOMEZ-VELEZ, Jesus2, KOSSON, David3 and BROWN, Kevin3, (1)Civil and Environmental Engineering, Vanderbilt University, 2201 West End Ave, Nashville, TN 37235, (2)Civil and Environmental Engineering, Vanderbilt University, 400 24th Avenue South, 269 Jacobs Hall, Nashville, TN 37205, (3)Civil and Environmental Engineering, Vanderbilt University, 400 24th Avenue South, Nashville, TN 37205
 
11:50 AM
Discussion / Wrap up
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