Continental Scale Hydrostratigraphy: Basin-Scale Testing of Alternative Data-Driven Approaches

Danielle Tijerina-Kreuzer, Jackson S. Swilley, Hoang V. Tran, Jun Zhang, Benjamin West, Chen Yang, Laura E. Condon, Reed M. Maxwell

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)93-110
Number of pages18
JournalGroundwater
Volume62
Issue number1
DOIs
StatePublished - Jan 1 2024

ASJC Scopus subject areas

  • Water Science and Technology
  • Computers in Earth Sciences

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