A Machine Learning-Based System for Predicting Peak Flowrates of Nebraska Streams

In this proposed research, the research team will model peak flowrates in Nebraska streams using new high-resolution datasets and a suite of machine learning algorithms. The team will use data from remote sensing and in-situ sources and study a wide range of predictors. The output would be a state-of-the-art system to estimate peak flowrates, which will be used in flood modeling. The team will build the system in such a way that it can be updated easily in light of new data.


    • English


    • Status: Completed
    • Funding: $194158
    • Contract Numbers:


    • Sponsor Organizations:

      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
    • Performing Organizations:

      University of Nebraska-Lincoln

      1110 South 67th St
      Omaha, NE  United States  68182
    • Principal Investigators:

      Roy, Tirthankar

    • Start Date: 20210501
    • Expected Completion Date: 20220630
    • Actual Completion Date: 20230630
    • USDOT Program: University Transportation Centers Program
    • Source Data: RiP Project 91994-94

    Subject/Index Terms

    Filing Info

    • Accession Number: 01778637
    • Record Type: Research project
    • Source Agency: Mid-America Transportation Center
    • Contract Numbers: 69A3551747107
    • Files: UTC, RIP
    • Created Date: Aug 3 2021 11:26PM