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.

Language

• English

Project

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

  69A3551747107

• 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

• TRT Terms: Floods; Machine learning; Remote sensing; Streamflow
• Geographic Terms: Nebraska
• Subject Areas: Data and Information Technology; Environment; Planning and Forecasting;

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