Geological Society of America

8:05 AM

MOBILIZING SUSTAINABLE GROUNDWATER MANAGEMENT WITH BIG DATA

Debra Perrone, UCSBEnvironmental Studies, Goleta, CA

363832 (Technical Sessions)

8:25 AM

ASSESSMENT AND CLASSIFICATION OF SEASONAL GROUNDWATER LEVEL DYNAMICS IN UNCONFINED AQUIFERS OF THE UNITED STATES

Mason Stahl, Union College, Schenectady, NY and Tyler Mar, Union College, Schenectady, NY and Mohd Yusuf Jameel, Massachusetts Institute of Technology, Cambridge, MA

368815 (Technical Sessions)

8:40 AM

METAMODELING OF GROUNDWATER WELL VULNERABILITY TO CONTAMINATION FOR ELUCIDATING POTENTIAL IMPACTS OF SHALE GAS DEVELOPMENT ON WATER QUALITY

Mario Soriano, Yale University, New Haven, CT and James Saiers, Yale University, New Haven, CT and Helen Siegel, Yale University, New Haven, CT and Nicholaus P. Johnson, Yale University, New Haven, CT and Kristina M. Gutchess, Yale University, New Haven, CT and Boya Xiong, Massachusetts Institute of Technology, Cambridge, MA and Boya Xiong, University of Minnesota, Minneapolis, MN and Yunpo Li, Massachusetts Institute of Technology, Cambridge, MA and Cassandra J. Clark, Yale University, New Haven, CT and Desiree L. Plata, Massachusetts Institute of Technology, Cambridge, MA and Nicole C. Deziel, Yale University, New Haven, CT

369703 (Technical Sessions)

8:55 AM

INCORPORATING AIRBORNE ELECTROMAGNETIC SURVEY DATA INTO MACHINE-LEARNING MODELS TO PREDICT GROUNDWATER SALINITY 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

364652 (Technical Sessions)

9:25 AM

BIG-DATA SUPPORTED SIMULATION OF NITROGEN LOADING TO COASTAL WATERS, LONG ISLAND, NEW YORK

Donald Walter, Northborough, MA

369117 (Technical Sessions)

9:45 AM

LEVERAGING DATA ASSIMILATION AND DEEP LEARNING WITH GENERATIVE ADVERSARIAL NETWORKS FOR IDENTIFICATION OF PREFERENTIAL PATHS IN COMPLEX AQUIFERS

Jichao Bao, South Dakota School of Mines and Technology, Rapid City, SD and Liangping Li, South Dakota School of Mines and Technology, Rapid City, SD

365819 (Technical Sessions)

10:00 AM

THE USE OF DEEP LEARNING WITH PROGRESSIVE GROWING GENERATIVE ADVERSARIAL NETWORKS FOR CONNECTIVITY MODELING IN COMPLEX AQUIFERS

Fleford Redoloza, South Dakota School of Mines and Technology, Rapid City, SD and Liangping Li, South Dakota School of Mines and Technology, Rapid City, SD

368494 (Technical Sessions)

10:15 AM

LEARNING TO REGULARIZE WITH A VARIATIONAL AUTOENCODER FOR HYDROGEOLOGIC INVERSE ANALYSIS

Hao Wu, Los Alamos National Laboratory, Los Alamos, NM and Daniel O'Malley, Los Alamos National Laboratory, Los Alamos, NM and John Golden, Los Alamos National Laboratory, Los Alamos, NM and Velimir Vesselinov, Los Alamos National Laboratory, Los Alamos, NM

366458 (Technical Sessions)

10:45 AM

MAPPING GROUNDWATER USE WITH SATELLITE SENSOR FUSION AND MACHINE LEARNING

Ryan Smith, Missouri S&T, Rolla, MO and Sayantan Majumdar, Missouri S&T, Rolla, MO and Md Fahim Hasan, Missouri S&T, Rolla, MO and J.J. Butler, University of Kansas, Lawrence, KS and Venkataraman Lakshmi, University of Virginia, Charlottesville, VA and Brian D. Conway, Phoenix, AZ and James R. Rigby, Nashville, TN

369568 (Technical Sessions)

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

Zeno Levy, California Water Science Center, Sacramento, CA and Bryant C. Jurgens, California Water Science Center, Sacramento, CA and Miranda S. Fram, California Water Science Center, Sacramento, CA

365795 (Technical Sessions)

11:20 AM

USING HIGH-RESOLUTION LIDAR AND DEEP LEARNING MODELS TO GENERATE MINIMUM THICKNESS MAPS OF SURFICIAL SEDIMENTS

William Odom, Florence Bascom Geoscience Center, Reston, VA and Daniel Doctor, Florence Bascom Geoscience Center, Reston, VA and Caitlin E. Burke, Florence Bascom Geoscience Center, Reston, VA and Cheyenne L. Cox, Florence Bascom Geoscience Center, Reston, VA

367681 (Technical Sessions)

11:35 AM

DAGPY: A HIGHLY EFFICIENT OPEN-SOURCE PYTHON PACKAGE FOR DATA ASSIMILATION IN PRACTICAL GROUNDWATER MODELING VIA THE ENSEMBLE KALMAN FILTER

Oscar Alvarez, Vanderbilt University, Nashville, TN and Jesus Gomez-Velez, Vanderbilt University, Nashville, TN and David Kosson, Vanderbilt University, Nashville, TN and Kevin Brown, Vanderbilt University, Nashville, TN

368600 (Technical Sessions)

T71 Addressing Complex Problems in Hydrogeology with Big Data and Machine Learning

Presentations