Sponsor Img Using Streamgage Data - StreamStats to Bulletin 17C Frequency Analysis

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Webinar Details

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When:

Feb 20, 2019 2:00 pm US/Eastern

Length: 00:57   (hh:mm)

Advance Registration NOT required.

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Presenter(s):

  • Jon Fripp, P.E., Stream Mechanics Engineer, USDA Natural Resources Conservation Service, National Design, Construction, and Soil Mechanics Center, Fort Worth TX
  • Dan Moore, P.E., Hydraulic Engineer, USDA Natural Resources Conservation Service, Water Quality & Quantity Team, Portland OR

CEU Credits/Certificate Offered:

  • Conservation Planner (CP) - 1 hour Conservation Planning Credit
  • Certificate of Participation
  • State Professional Engineer - 1 hour State Specific Approval Credit

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Participants will learn about how to determine the likelihood of flooding at any given site in a stream corridor, using two recently updated analysis tools: the USGS web-based tool StreamStats, and computer programs to compute streamflow frequency of gaged flows, updated for the new Bulletin 17C

Efforts to design and build beneficial projects in stream corridors require an analysis of the frequency of streamflow flooding. Flows ranging from very low to very high are associated with a statistical likelihood of occurrence. Projects are designed to withstand flooding to a pre-determined flood recurrence level, often dictated by local or state ordinances. Engineers must use up to date and defensible analyses to determine these critical project parameters. The size and cost of stream corridor projects is directly dependent on these determinations. StreamStats is a statistical regression based method. The computer programs PeakFQ and HEC-DSS use annual peak flow data from stream gages to create streamflow frequency curves.

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SPONSORS:

  • Southern Regional Extension Forestry
    Southern Regional Extension Forestry
  • USDA NRCS
    USDA NRCS
  • NC State University Extension
    NC State University Extension
  • USDA Forest Service
    USDA Forest Service
  • The University of Georgia
    The University of Georgia

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