Pilot project for a hybrid road-flooding forecasting system on Squaw Creek.
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Pilot project for a hybrid road-flooding forecasting system on Squaw Creek.



English
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Details:

  • Creators:
  • Corporate Creators:
    University of Iowa. Iowa Flood Center
  • Corporate Contributors:
    Iowa. Highway Research Board
  • Subject/TRT Terms:
  • Publication/ Report Number:
    IHRB Project TR-642
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    Iowa
  • Corporate Publisher:
    Iowa. Dept. of Transportation
  • Abstract:
    A network of 25 sonic stage sensors were deployed in the Squaw Creek basin upstream from Ames Iowa to determine

    if the state-of-the-art distributed hydrological model CUENCAS can produce reliable information for all road crossings

    including those that cross small creeks draining basins as small as 1 sq. mile. A hydraulic model was implemented for the

    major tributaries of the Squaw Creek where IFC sonic instruments were deployed and it was coupled to CUENCAS to

    validate the predictions made at small tributaries in the basin. This study demonstrates that the predictions made by the

    hydrological model at internal locations in the basins are as accurate as the predictions made at the outlet of the basin.

    Final rating curves based on surveyed cross sections were developed for the 22 IFC-bridge sites that are currently

    operating, and routine forecast is provided at those locations (see IFIS). Rating curves were developed for 60 additional

    bridge locations in the basin, however, we do not use those rating curves for routine forecast because the lack of accuracy of

    LiDAR derived cross sections is not optimal. The results of our work form the basis for two papers that have been

    submitted for publication to the Journal of Hydrological Engineering. Peer review of our work will gives a strong footing to

    our ability to expand our results from the pilot Squaw Creek basin to all basins in Iowa.

  • Format:
    PDF
  • Collection(s):
  • Main Document Checksum:
  • Download URL:
  • File Type:
    Filetype[PDF-2.84 MB]

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