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Water 2017, 9(11), 892;

Development of a Hydrologic Connectivity Dataset for SWAT Assessments in the US

Agricultural Research Service, US Department of Agriculture, 808 E. Blackland Road, Temple, TX 76502, USA
Blackland Research & Extension Center, Texas A & M AgriLife, Temple, TX 76502, USA
Author to whom correspondence should be addressed.
Received: 28 September 2017 / Revised: 9 November 2017 / Accepted: 11 November 2017 / Published: 15 November 2017
PDF [2115 KB, uploaded 15 November 2017]


Model-based water quality assessments are an important informer of conservation and environmental policy in the U.S. The recently completed national scale Conservation Effects Assessment Project (CEAP) is being replicated using an improved model populated with new and higher resolution data. National assessments are particularly difficult as models must operate with both a very large spatial extent (the contiguous U.S.) while maintaining a level of granularity required to capture important small scale processes. In this research, we developed datasets to describe the hydrologic connectivity at the U.S. Geological Survey (USGS) 12-digit Hydrologic Unit Code (HUC-12) level. Connectivity between 86,000 HUC-12s as provided by the Watershed Boundary Dataset (WBD) was evaluated and corrected. We also detailed a method to resolve the highly detailed National Hydrography Dataset (NHD) stream segments within each HUC-12 into vastly simplified representative channel schemes suitable for use in the recently developed Soil and Water Assessment Tool + (SWAT+) model. This representative channel approach strikes a balance between computational complexity and accurate representation of the hydrologic system. These data will be tested in the upcoming CEAP II national assessment. Until then, all the WBD corrections and NHDPlus representative channel data are provided via the web for other researchers to evaluate and utilize. View Full-Text
Keywords: SWAT+; CEAP; connectivity; hydrology; tributary; channel SWAT+; CEAP; connectivity; hydrology; tributary; channel

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White, M.J.; Beiger, K.; Gambone, M.; Haney, E.; Arnold, J.; Gao, J. Development of a Hydrologic Connectivity Dataset for SWAT Assessments in the US. Water 2017, 9, 892.

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