Continental Scale Hydrostratigraphy: Basin‐Scale Testing of Alternative Data‐Driven Approaches
[1];
[6]
- Integrated GroundWater Modeling Center Princeton University Princeton NJ USA
- Integrated GroundWater Modeling Center Princeton University Princeton NJ USA, Department of Civil and Environmental Engineering Princeton University Princeton NJ USA
- Atmospheric Science and Global Change Division Pacific Northwest National Laboratory Richland WA USA
- Department of Hydrology and Atmospheric Sciences University of Arizona Tucson AZ USA, Key Laboratory of VGE of Ministry of Education Nanjing Normal University Nanjing China
- Department of Hydrology and Atmospheric Sciences University of Arizona Tucson AZ USA
- Integrated GroundWater Modeling Center Princeton University Princeton NJ USA, Department of Civil and Environmental Engineering Princeton University Princeton NJ USA, High Meadows Environmental Institute Princeton University Princeton NJ USA
Abstract Integrated hydrological modeling is an effective method for understanding interactions between parts of the hydrologic cycle, quantifying water resources, and furthering knowledge of hydrologic processes. However, these models are dependent on robust and accurate datasets that physically represent spatial characteristics as model inputs. This study evaluates multiple data‐driven approaches for estimating hydraulic conductivity and subsurface properties at the continental‐scale, constructed from existing subsurface dataset components. Each subsurface configuration represents upper (unconfined) hydrogeology, lower (confined) hydrogeology, and the presence of a vertical flow barrier. Configurations are tested in two large‐scale U.S. watersheds using an integrated model. Model results are compared to observed streamflow and steady state water table depth (WTD). We provide model results for a range of configurations and show that both WTD and surface water partitioning are important indicators of performance. We also show that geology data source, total subsurface depth, anisotropy, and inclusion of a vertical flow barrier are the most important considerations for subsurface configurations. While a range of configurations proved viable, we provide a recommended Selected National Configuration 1 km resolution subsurface dataset for use in distributed large‐and continental‐scale hydrologic modeling.
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- NONE; AC02-05CH11231
- OSTI ID:
- 2283104
- Alternate ID(s):
- OSTI ID: 2305611
- Journal Information:
- Ground Water, Journal Name: Ground Water Journal Issue: 1 Vol. 62; ISSN 0017-467X
- Publisher:
- Wiley-BlackwellCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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