Flood Routing in Rivers Using Two-Dimensional HEC-RAS Software and its Comparison with the Non-Linear Muskingum Method

One of the important issues in river engineering is flood trends. In general, two types of methods are used to determine the flood trends in rivers. The first group of hydraulic methods, such as the dynamic wave method, is based on solving continuity and momentum equations or Saint-Venant equations....

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Main Authors: M. Amiri, E. Fazel Najafabadi, M. Shayannejad
Format: Article
Language:fas
Published: Isfahan University of Technology 2024-10-01
Series:علوم آب و خاک
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Online Access:http://jstnar.iut.ac.ir/article-1-4419-en.pdf
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author M. Amiri
E. Fazel Najafabadi
M. Shayannejad
author_facet M. Amiri
E. Fazel Najafabadi
M. Shayannejad
author_sort M. Amiri
collection DOAJ
description One of the important issues in river engineering is flood trends. In general, two types of methods are used to determine the flood trends in rivers. The first group of hydraulic methods, such as the dynamic wave method, is based on solving continuity and momentum equations or Saint-Venant equations. The second category is hydrological methods like the non-linear Muskingum method. In this research, both methods have been used to determine the trends of flood hydrographs in the Plasjan River, one of the main tributaries of the Zayandehrud River. The coefficients of the non-linear Muskingum method were obtained by optimizing and solving the related equation with the fourth-order Runge-Katai numerical method using MATLAB software and the dynamic wave method using the two-dimensional HEC-RAS software. In this study, four flood events were used. In the non-linear Muskingum method, the first event was used for model calibration and the other three events were used for validation. The error rate in this method for the second, third, and fourth events was 84.23, 6.6, and 7.96 percent, respectively, and the error rate in the dynamic wave method for these four events was 17.58, 87.3, 5.4, and 6.21 percent, respectively. Therefore, the dynamic wave method is more accurate in estimating the output hydrograph. However, the non-linear Muskingum method has acceptable accuracy and is recommended in terms of cost, required information, simplicity, and speed of calculation in situations where sufficient information is not available.
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id doaj-art-81e32c7eff3a4c2185306b7bb965149c
institution OA Journals
issn 2476-3594
2476-5554
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publisher Isfahan University of Technology
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series علوم آب و خاک
spelling doaj-art-81e32c7eff3a4c2185306b7bb965149c2025-08-20T02:22:21ZfasIsfahan University of Technologyعلوم آب و خاک2476-35942476-55542024-10-01283103116Flood Routing in Rivers Using Two-Dimensional HEC-RAS Software and its Comparison with the Non-Linear Muskingum MethodM. Amiri0E. Fazel Najafabadi1M. Shayannejad2 Department of Water Science and Engineering, College of Agriculture, Isfahan University of Technology, Isfahan, Iran. Department of Water Science and Engineering, College of Agriculture, Isfahan University of Technology, Isfahan, Iran. Department of Water Science and Engineering, College of Agriculture, Isfahan University of Technology, Isfahan, Iran. One of the important issues in river engineering is flood trends. In general, two types of methods are used to determine the flood trends in rivers. The first group of hydraulic methods, such as the dynamic wave method, is based on solving continuity and momentum equations or Saint-Venant equations. The second category is hydrological methods like the non-linear Muskingum method. In this research, both methods have been used to determine the trends of flood hydrographs in the Plasjan River, one of the main tributaries of the Zayandehrud River. The coefficients of the non-linear Muskingum method were obtained by optimizing and solving the related equation with the fourth-order Runge-Katai numerical method using MATLAB software and the dynamic wave method using the two-dimensional HEC-RAS software. In this study, four flood events were used. In the non-linear Muskingum method, the first event was used for model calibration and the other three events were used for validation. The error rate in this method for the second, third, and fourth events was 84.23, 6.6, and 7.96 percent, respectively, and the error rate in the dynamic wave method for these four events was 17.58, 87.3, 5.4, and 6.21 percent, respectively. Therefore, the dynamic wave method is more accurate in estimating the output hydrograph. However, the non-linear Muskingum method has acceptable accuracy and is recommended in terms of cost, required information, simplicity, and speed of calculation in situations where sufficient information is not available.http://jstnar.iut.ac.ir/article-1-4419-en.pdfflood routingnon-linear muskingumdynamic wave modelhec-ras software
spellingShingle M. Amiri
E. Fazel Najafabadi
M. Shayannejad
Flood Routing in Rivers Using Two-Dimensional HEC-RAS Software and its Comparison with the Non-Linear Muskingum Method
علوم آب و خاک
flood routing
non-linear muskingum
dynamic wave model
hec-ras software
title Flood Routing in Rivers Using Two-Dimensional HEC-RAS Software and its Comparison with the Non-Linear Muskingum Method
title_full Flood Routing in Rivers Using Two-Dimensional HEC-RAS Software and its Comparison with the Non-Linear Muskingum Method
title_fullStr Flood Routing in Rivers Using Two-Dimensional HEC-RAS Software and its Comparison with the Non-Linear Muskingum Method
title_full_unstemmed Flood Routing in Rivers Using Two-Dimensional HEC-RAS Software and its Comparison with the Non-Linear Muskingum Method
title_short Flood Routing in Rivers Using Two-Dimensional HEC-RAS Software and its Comparison with the Non-Linear Muskingum Method
title_sort flood routing in rivers using two dimensional hec ras software and its comparison with the non linear muskingum method
topic flood routing
non-linear muskingum
dynamic wave model
hec-ras software
url http://jstnar.iut.ac.ir/article-1-4419-en.pdf
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AT efazelnajafabadi floodroutinginriversusingtwodimensionalhecrassoftwareanditscomparisonwiththenonlinearmuskingummethod
AT mshayannejad floodroutinginriversusingtwodimensionalhecrassoftwareanditscomparisonwiththenonlinearmuskingummethod