Chapter
Apr 26, 2012
Impact of Streamflow Persistence on Hydrologic Design
Authors: Ellen M. Douglas, Richard M. Vogel, and Charles N. KrollAuthor Affiliations
Publication: Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges
Abstract
Conventional methods for estimating the average return period, E(T), and failure risk R, generally ignore serial correlation (persistence) in streamflow. This paper shows that for observed ranges of persistence, E(T) can be up to 65% greater and R up to 27% lower than conventional estimates meaning that the expected design life of a system is longer when persistence is taken into account. Also, by ignoring persistence, low flow quantiles may be underestimated by a half order of magnitude or more. An evaluation of the effect of persistence on drought risk estimation across the U.S. is presented.
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© 2001 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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Authors
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Ellen M. Douglas
S.M.ASCE
Research Assistant, Water Resources Engineering, Tufts University, 113 Anderson Hall, Medford, MA 02155
Richard M. Vogel
M.ASCE
Professor, Water Resources Engineering, Tufts University, 113 Anderson Hall, Medford, MA 02155
Charles N. Kroll
M.ASCE
Assisstant Professor, Environmental Resource Engineering, SUNY College of Environmental Science and Forestry, 1 Forestry Drive, Syracuse, NY 13210
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
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