TY - JOUR
T1 - Continental Scale Hydrostratigraphy
T2 - Basin-Scale Testing of Alternative Data-Driven Approaches
AU - Tijerina-Kreuzer, Danielle
AU - Swilley, Jackson S.
AU - Tran, Hoang V.
AU - Zhang, Jun
AU - West, Benjamin
AU - Yang, Chen
AU - Condon, Laura E.
AU - Maxwell, Reed M.
N1 - Publisher Copyright:
© 2023 The Authors. Groundwater published by Wiley Periodicals LLC on behalf of National Ground Water Association.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - 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.
AB - 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.
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U2 - 10.1111/gwat.13357
DO - 10.1111/gwat.13357
M3 - Article
C2 - 37768270
AN - SCOPUS:85174249534
SN - 0017-467X
VL - 62
SP - 93
EP - 110
JO - Groundwater
JF - Groundwater
IS - 1
ER -