H23K:
Characterization and Sustainable Management of Groundwater Systems through the Integration of Data and Tools Across Spatial and Temporal Scales I

Submit an Abstract to this Session Please know the abstract submission deadline has passed. There are no exceptions to this deadline and no new abstracts can be submitted.
You can still search the program to see your colleague�s abstract submissions as well as the sessions submitted for the 2016 Fall Meeting. The final program will be released in early October.


Session ID#: 16954

Session Description:
Difficulty in characterizing aquifer systems has traditionally limited groundwater studies to subregional spatial scales, while quantifying hydrogeologic processes on larger scales still requires shockingly simplifying assumptions. As cloud computing, smart sensors, remote sensing, and big data capture become increasingly available, there is opportunity to enhance our understanding of complex groundwater dynamics over larger spatial scales. These technological advancements are coinciding with a greater emphasis on managing and monitoring aquifer systems, from localized groundwater-surface water interactions and recharge estimation to aquifer-wide sustainability targets.

This session will focus on novel methods to integrate diverse data sources and techniques to better quantify aquifer dynamics over regional spatial scales. We seek studies that integrate a combination of in situ observations (including from smart sensors and citizen science), modeling approaches, and remote sensing to characterize the fluxes and stocks of groundwater, ultimately capable of providing decision-support capacity to better manage groundwater systems.

Primary Convener:  Alexandra Richey McLarty, Washington State University, Pullman, WA, United States
Convener:  Neil McIntyre, University of Queensland, Centre for Water in the Minerals Industry, St Lucia, Australia
Chairs:  Alexandra Richey McLarty, Washington State University, Pullman, WA, United States, Laura Foglia, University of California Davis, Land, Air and Water Resources, Davis, United States and Andrew M Ireson, Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada
OSPA Liaison:  Neil McIntyre, University of Queensland, Centre for Water in the Minerals Industry, St Lucia, Australia

Cross-Listed:
  • IN - Earth and Space Science Informatics
  • SI - Societal Impacts and Policy Sciences
Index Terms:

1829 Groundwater hydrology [HYDROLOGY]
1834 Human impacts [HYDROLOGY]
1910 Data assimilation, integration and fusion [INFORMATICS]

Abstracts Submitted to this Session:

Imagining a maximum future irrigation footprint to evaluate water resources in a Wisconsin County (Invited) (187249)
Michael N Fienen1, Paul F Juckem2, Michael Parsen3, Madeline B Gotkowitz3, Seth Ebel4 and Dan Masterpole4, (1)U.S. Geological Survey, Upper Midwest Water Science Center, Madison, United States, (2)US Geological Survey, Madison, United States, (3)Wisconsin Geological Survey, Madison, WI, United States, (4)Chippewa County Land Conservation & Forest Management, Chippewa Falls, WI, United States
Regional mapping of depression-focussed groundwater recharge incorporating variable topography, climate, and land use (Invited) (136991)
Igor Pavlovskii1, Saskia L Noorduijn2, Polina Abrakhimova2, Laurence R Bentley2, Edwin E Cey2, Masaki Hayashi3 and Groundwater Recharge in Prairies (GRIP) team , (1)Dalhousie University, Department of Civil and Resource Engineering, Halifax, NS, Canada, (2)University of Calgary, Calgary, AB, Canada, (3)University of Calgary, Geoscience, Calgary, AB, Canada
Worth of Hydraulic Head, Chloride, Electrical Conductivity and Carbon-14 Data for Groundwater Model Calibration – Insights from a Regional-Scale Example (132814)
Etienne Bresciani1, Yueqing Xie2, Daniel Partington3 and Okke Batelaan2, (1)Korea Institute of Science and Technology, Seoul, South Korea, (2)Flinders University, Bedford Park, SA, Australia, (3)Flinders University, Bedford Park, Australia
Uncertainty of Coupled Soil-Vegetation-Atmosphere Modelling Methods for Estimating Groundwater Recharge (132832)
Yueqing Xie1, Peter G Cook2, Craig T Simmons2, Daniel Partington2, Russell Crosbie3 and Okke Batelaan1, (1)Flinders University, School of the Environment, Bedford Park, SA, Australia, (2)Flinders University, School of the Environment, Adelaide, Australia, (3)CSIRO Land and Water, Adelaide, Australia
Development of a simulation of the surficial groundwater system for the CONUS (182940)
Wes Zell and Ward E Sanford, USGS, Integrated Modeling and Prediction Division, Reston, United States
Response-time analysis of groundwater discharge and recharge through wells (199189)
Farhad Jazaei1, Matthew J Simpson2 and Prabhakar Clement1, (1)Auburn University, Auburn, AL, United States, (2)QUT, Brisbane, Australia
Inferring Large-Scale Terrestrial Water Storage Through GRACE and GPS Data Fusion in Cloud Computing Environments (139777)
Cody Millard Rude1, Justin D Li1, Michael Gowanlock1, Thomas Herring2 and Victor Pankratius2, (1)MIT Haystack Observatory, Westford, MA, United States, (2)Massachusetts Institute of Technology, Cambridge, MA, United States
GRACE Groundwater Drought: Accounting for Groundwater Withdrawals to Isolate Weather-Driven Drought (176175)
Brian F Thomas, University of Pittsburgh, Pittsburgh, PA, United States

See more of: Hydrology