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

Roy, Tirthankar; Koya, Muhammed Sinan Rasiya; Krajewski, Witold; University of Iowa. Department of Civil and Environmental Engineering; University of Nebraska-Lincoln. Department of Civil and Environmental Engineering

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

2023-01-01
By Roy, Tirthankar ; Koya, Muhammed Sinan Rasiya ; Krajewski, Witold

English

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Details:

Creators:

Roy, Tirthankar ; Koya, Muhammed Sinan Rasiya ; Krajewski, Witold

Roy, Tirthankar ; Koya, Muhammed Sinan Rasiya ; Krajewski, Witold Less -
Corporate Creators:

University of Iowa. Department of Civil and Environmental Engineering ; University of Nebraska-Lincoln. Department of Civil and Environmental Engineering

University of Iowa. Department of Civil and Environmental Engineering ; University of Nebraska-Lincoln. Department of Civil and Environmental Engineering Less -
Corporate Contributors:

University of Nebraska. Mid-America Transportation Center ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

University of Nebraska. Mid-America Transportation Center ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Floods Forecasting Hydrology Predictive Models Snow
Publication/ Report Number:

25-1121-0005-004-61
Resource Type:

Tech Report
Geographical Coverage:

Nebraska ; United States

Nebraska ; United States Less -
Edition:

Final Report July 2020 – November 2022
Corporate Publisher:

University of Nebraska. Mid-America Transportation Center
Abstract:

Accurate and timely flood prediction can reduce the risk of flooding, bolster preparedness, and help build resilience. In this study, we have developed a flood forecasting system prototype and checked its potential for carrying out operational flood forecasting in the state of Nebraska. This system builds upon some of the core components of the Iowa Flood Forecasting System (IFIS), which is a state-of-the-art platform widely recognized around the world. We implemented our platform on a pilot basin in Nebraska (Elkhorn River basin) by installing eight stream sensors and setting up the hydrologic model component of IFIS, i.e., the Hillslope Link Model (HLM). Due to their importance in the Midwest, we particularly emphasized the snow processes and developed an improved HLM model that can account for different aspects of snow (rain-snow-partitioning, snowmelt, and snow accumulation) through simple parameterizations. Results show that the more thorough treatment of snow processes in the hydrologic model, as proposed herein, the better the performance of flood peak simulations. In this paper, we discuss different steps involved in developing the flood forecasting system prototype, along with the associated challenges and opportunities.
Format:

PDF
Funding:

69A3551747107
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha-512:de8785cdac17b6f568e76f5afff3eb3e8387d8d4f03d405a0b5f8072c621a4010066ed9e96150db644fd58baf938e42dc88e2a26e38fe6f634baacff74a8af9a
Download URL:

https://rosap.ntl.bts.gov/view/dot/74557/dot_74557_DS1.pdf
File Type:

[PDF-2.14 MB]