Estimating Peak-Flow Frequency Statistics for Selected Gaged and Ungaged Sites in Naturally Flowing Streams and Rivers in Idaho
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Estimating Peak-Flow Frequency Statistics for Selected Gaged and Ungaged Sites in Naturally Flowing Streams and Rivers in Idaho

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    • Alternative Title:
      Scientific Investigations Report, 2016–5083 Version 1.1, March 2017
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    • Abstract:
      Reliable estimates of the magnitude and frequency of floods are needed by Federal, regional, State, and local infrastructure designers and water-resource managers for the design of highway, road, and other bridge crossings of rivers, delineation of flood plains, flood inundation mapping, design of water-control structures and culverts, and management of water supplies. Additionally, there is an increasing interest in peak flows with high annual exceedance probabilities (AEPs) and more frequent recurrence intervals, such as those with 80–40 percent AEPs (1.25- to 2.50-year recurrence intervals), because of their role in maintaining aquatic and riparian ecosystems. Peak-flow frequency statistics (hereinafter peak‑flow statistics) typically are estimated for streamgages that have at least 10 years of annual peak-flow record, historically using statistical methods described in Bulletin 17B of the Interagency Advisory Committee on Water Data (1982). Peak-flow statistics can then be estimated for ungaged sites through the development of regional regression equations between basin and climatic characteristics and peak-flow statistics at streamgages. These peak-flow statistics and regional regression equations typically are made available to water-resource managers and the public through the U.S. Geological Survey (USGS) StreamStats program (http://streamstats.usgs.gov). USGS StreamStats is a web-based Geographic Information System tool that is useful for water-resources planning and management and infrastructure design. StreamStats estimates peak-flow statistics based on underlying basin and climatic characteristic datasets and regional regression equations, and allows users to obtain peak-flow statistics and other information for gaged and ungaged sites on streams. The underlying data layers, flow statistics, and regression equations used in StreamStats must be routinely re-evaluated and revised to ensure accuracy of the information provided to the public.
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