Methods for Estimating Annual Exceedance-Probability Discharges and Largest Recorded Floods for Unregulated Streams in Rural Missouri

Details

• Creators:
  Southard, Rodney E. ; Veilleux, Andrea G.
• Corporate Creators:
  Geological Survey (U.S.)
• Corporate Contributors:
  Missouri. Department of Transportation ; United States. Federal Emergency Management Agency
• Subject/TRT Terms:
  • Rural areas
  • Streams
  • Floods
  • Sediment discharge
  • Regression analysis
  • Geographic information systems
  • Stream gages
  • Peak discharge
  • Drainage basins
• Publication/ Report Number:
  2014-5165
• Resource Type:
  Tech Report
• Geographical Coverage:
  Missouri
• Corporate Publisher:
  United States. Geological Survey (USGS)
• Abstract:
  Regression analysis techniques were used to develop a set of equations for rural ungaged stream sites for estimating discharges with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities, which are equivalent to annual flood-frequency recurrence intervals of 2, 5, 10, 25, 50, 100, 200, and 500 years, respectively. Basin and climatic characteristics were computed using geographic information software and digital geospatial data. A total of 35 characteristics were computed for use in preliminary statewide and regional regression analyses. Annual exceedance-probability discharge estimates were computed for 278 streamgages by using the expected moments algorithm to fit a log-Pearson Type III distribution to the logarithms of annual peak discharges for each streamgage using annual peak-discharge data from water year 1844 to 2012. Low-outlier and historic information were incorporated into the annual exceedance-probability analyses, and a generalized multiple Grubbs-Beck test was used to detect potentially influential low floods. Annual peak flows less than a minimum recordable discharge at a streamgage were incorporated into the at-site station analyses.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/28314/dot_28314_DS1.pdf
• File Type:
  [PDF - 4.38 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:b0b16cb5640dd8366077216bbaac3da6a337d01c1e9a271beb7939ddbb500acb