Real-Time Flood Forecasting for River Crossings

The principal investigators (PIs) propose to develop a generic prototype of a flood-forecasting model that is easy to implement at many locations around the Midwest to provide monitoring and forecasting flood potential at critical infrastructure points, such as bridges, where streamflow gauges are not available. They will develop a real-time web-based visualization platform to display the model predictions. The platform will display the river network upstream from a point of interest and a time control slider that will allow exploring the evolution of flows everywhere in the network over the past several days and about a week into the future.

Language

  • English

Project

  • Status: Active
  • Funding: $140029
  • Contract Numbers:

    69A3551747107

  • Sponsor Organizations:

    Mid-America Transportation Center

    University of Nebraska-Lincoln
    2200 Vine Street, PO Box 830851
    Lincoln, NE  United States  68583-0851

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Mid-America Transportation Center

    University of Nebraska-Lincoln
    2200 Vine Street, PO Box 830851
    Lincoln, NE  United States  68583-0851
  • Project Managers:

    Stearns, Amy

  • Performing Organizations:

    University of Iowa

    3100 Seamans Center for the Engineering Arts and Sciences
    Iowa City, IA  United States  52242
  • Principal Investigators:

    Krajewski, Witold

  • Start Date: 20170901
  • Expected Completion Date: 20181101
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program
  • Source Data: RiP Project 91994-5

Subject/Index Terms

Filing Info

  • Accession Number: 01663468
  • Record Type: Research project
  • Source Agency: Mid-America Transportation Center
  • Contract Numbers: 69A3551747107
  • Files: UTC, RiP
  • Created Date: Mar 21 2018 9:54AM