Abstract

Precipitation-based intensity–duration–frequency (PREC-IDF) curves are a standard tool used to derive design floods for hydraulic infrastructure worldwide. In snow-dominated regions where a large percentage of flood events are caused by snowmelt and rain-on-snow events, the PREC-IDF design approach can lead to substantial underestimation or overestimation of design floods and associated infrastructure. In this study, next-generation IDF (NG-IDF) curves, which characterize the actual water reaching the land surface, are introduced into the design process to improve hydrologic design. The authors compared peak design flood estimates from the National Resource Conservation Service TR-55 hydrologic model driven by NG-IDF and PREC-IDF curves at 399 Snowpack Telemetry (SNOTEL) stations across the western United States, all of which had at least 30 years of high-quality records. They found that about 70% of the stations in the western United States showed the potential for underdesign, for which the PREC-IDF curves underestimated peak design floods by as much as 324%. These results demonstrated the need to update the use of PREC-IDF curves to the use of NG-IDF curves for hydrologic design in snow-dominated regions.

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Acknowledgments

All daily SNOTEL data used in this study are available from the Natural Resources Conservation Service and National Water and Climate Center at https://www.wcc.nrcs.usda.gov/snow/ (last accessed 7 February 2018). The Digital Elevation Model data were obtained from the United States Geological Survey and the National Geospatial-Intelligence Agency Global Multi-Resolution Terrain Elevation Data 2010 data set at https://lta.cr.usgs.gov/GMTED2010 (last accessed 17 February 2017). The United States boundaries shown in the figures were acquired from United States Geological Survey Small-Scale Dataset State Boundaries of the United States 200506 Shapefile at https://catalog.data.gov/dataset/usgs-small-scale-dataset-state-boundaries-of-the-united-states-200506-shapefile (last accessed 17 February 2017). This material is based upon work supported by the Strategic Environmental Research and Development Program under Contract No. RC-2546. Battelle Memorial Institute operates the Pacific Northwest National Laboratory for the US Department of Energy under contract DE-AC06-76RLO-1830. The quality assurance and quality control screened SNOTEL observations used in this paper are available at https://dhsvm.pnnl.gov/.

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Journal of Hydrologic Engineering
Volume 24Issue 7July 2019

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Received: May 25, 2018
Accepted: Jan 30, 2019
Published online: May 2, 2019
Published in print: Jul 1, 2019
Discussion open until: Oct 2, 2019

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Postdoctoral Research Associate, Energy and Environment Directorate, Pacific Northwest National Laboratory, 902 Battelle Blvd., Richland, WA 99354. ORCID: https://orcid.org/0000-0002-2387-403X. Email: [email protected]
Scientist, Energy and Environment Directorate, Pacific Northwest National Laboratory, 902 Battelle Blvd., Richland, WA 99354. Email: [email protected]
Mark Wigmosta [email protected]
Engineer, Energy and Environment Directorate, Pacific Northwest National Laboratory, 902 Battelle Blvd., Richland, WA 99354; Distinguished Faculty Fellow, Dept. of Civil and Environmental Engineering, Univ. of Washington, Seattle, WA 98195 (corresponding author). Email: [email protected]
Richard Skaggs [email protected]
Engineer, Energy and Environment Directorate, Pacific Northwest National Laboratory, 902 Battelle Blvd., Richland, WA 99354. Email: [email protected]
Scientist, Energy and Environment Directorate, Pacific Northwest National Laboratory, 902 Battelle Blvd., Richland, WA 99354. ORCID: https://orcid.org/0000-0002-9388-6060. Email: [email protected]
L. Ruby Leung [email protected]
Scientist, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, 902 Battelle Blvd., Richland, WA 99354. Email: [email protected]

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