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Mid-America Transportation Center

Incorporating Snow Processes in the Iowa Flood Information System (IFIS) and Evaluating Its Applicability for Nebraska



University

University of Nebraska-Lincoln

Principal Investigator
Tirthankar Roy
PI Contact Information
roy@unl.edu
Funding Source(s) and Amounts Provided
USDOT: $131,364
UNL/NDOT: $141,586
Total Project Cost
$ 272,950
Agency ID or Contract Number
69A3551747107
Start Date
7/1/2020
End Date
12/31/2021
Research Objective
1. Identifying optimal locations for installing automated stream sensors. 2. Finding a suitable snow parameterization for the hydrologic model within IFIS. 3. Applying the IFIS system prototype on a region in Nebraska and evaluate its performance within the context of transportation safety.
Potential Benefits
Accurate and early prediction of flooding is crucial for ensuring transportation safety. This research will investigate the benefits of incorporating snow processes within the IFIS platform. It will also shed light on the potential of the IFIS platform to be applied across the entire state of Nebraska for flood monitoring and forecasting.
Brief Description of Research Project
In this proposed research, we will improve the hydrologic model within the state-of-the-art Iowa Flood Information System (IFIS) platform by coupling a snow module. This is crucial for Nebraska since the snow has significant impacts on the severity of flooding in the state. We will then implement the IFIS platform prototype with the improved hydrologic model on the Lower Elkhorn Natural Resources District.
Describe Implementation of Research Outcomes
Impacts/Benefits of Implementation
Web Links
Modal Orientation
  • Bridges
  • Environment