Application of the SWAT Model in Monthly Runoff Simulation of the Merg River in the Mahidasht Plain, Kermanshah Province.

The Soil and Water Assessment Tool (SWAT) is a continuous-time, semi-distributed model with GIS connectivity. This model can simulate hydrological processes in watersheds on a monthly basis using various data, including physical and meteorological data. In this study, the SWAT hydrological model was...

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Main Authors: Shahram Gorgani, Maryam Hafezparast Mavaddat, Saadi Fathi
Format: Article
Language:fas
Published: Razi University 2025-06-01
Series:مدل‌سازی پیشرفته در مهندسی عمران
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Online Access:https://amcen.razi.ac.ir/article_3771_279ed82779a419da89e5386ae0211752.pdf
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author Shahram Gorgani
Maryam Hafezparast Mavaddat
Saadi Fathi
author_facet Shahram Gorgani
Maryam Hafezparast Mavaddat
Saadi Fathi
author_sort Shahram Gorgani
collection DOAJ
description The Soil and Water Assessment Tool (SWAT) is a continuous-time, semi-distributed model with GIS connectivity. This model can simulate hydrological processes in watersheds on a monthly basis using various data, including physical and meteorological data. In this study, the SWAT hydrological model was used to simulate runoff at the Khersabad hydrometric station on the Merg River over a 33-year statistical period (1990-2022). The first five-year period (1990-1995) was used for model warm-up, the next ten years (1995-2014) for calibration, and the final eight years (2015-2022) for model validation. The model was prepared using the SWAT-CUP optimization software and 16 different parameters. In the calibration phase, the coefficient of determination for monthly flow simulation was 0.61, and the Nash-Sutcliffe efficiency coefficient was 0.61. In the validation phase, these values were estimated to be 0.77 and 0.78, respectively. Furthermore, in the validation phase, runoff volume and peak discharge were also evaluated, and relatively acceptable results were obtained compared to observed data for predicting these parameters in the mentioned period. Evaluations show that obtaining acceptable results from the SWAT model requires a large amount of information and accurate observational data. Considering that the studied river has been dry most of the time, especially in recent years, it can be said that the SWAT model has a relatively good ability to accurately simulate hydrological processes if complete data and information are available
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spelling doaj-art-5fbf340fb00f4e80be64bbc27e7b75292025-08-20T03:30:49ZfasRazi Universityمدل‌سازی پیشرفته در مهندسی عمران3060-76202025-06-0121203510.22126/amcen.2025.11902.10383771Application of the SWAT Model in Monthly Runoff Simulation of the Merg River in the Mahidasht Plain, Kermanshah Province.Shahram Gorgani0Maryam Hafezparast Mavaddat1Saadi Fathi2PhD Student, Department of Water Science and Engineering, Faculty of Agriculture and Natural Resources, Razi University, Kermanshah, IranAssistant Professor, Department of Water Science and Engineering, Faculty of Agriculture and Natural Resources, Razi University, Kermanshah, IranPhD student, Department of Water Science and Engineering, Faculty of Agriculture and Natural Resources, Razi University, Kermanshah, IranThe Soil and Water Assessment Tool (SWAT) is a continuous-time, semi-distributed model with GIS connectivity. This model can simulate hydrological processes in watersheds on a monthly basis using various data, including physical and meteorological data. In this study, the SWAT hydrological model was used to simulate runoff at the Khersabad hydrometric station on the Merg River over a 33-year statistical period (1990-2022). The first five-year period (1990-1995) was used for model warm-up, the next ten years (1995-2014) for calibration, and the final eight years (2015-2022) for model validation. The model was prepared using the SWAT-CUP optimization software and 16 different parameters. In the calibration phase, the coefficient of determination for monthly flow simulation was 0.61, and the Nash-Sutcliffe efficiency coefficient was 0.61. In the validation phase, these values were estimated to be 0.77 and 0.78, respectively. Furthermore, in the validation phase, runoff volume and peak discharge were also evaluated, and relatively acceptable results were obtained compared to observed data for predicting these parameters in the mentioned period. Evaluations show that obtaining acceptable results from the SWAT model requires a large amount of information and accurate observational data. Considering that the studied river has been dry most of the time, especially in recent years, it can be said that the SWAT model has a relatively good ability to accurately simulate hydrological processes if complete data and information are availablehttps://amcen.razi.ac.ir/article_3771_279ed82779a419da89e5386ae0211752.pdfvalidationcoefficient of determination (r²)nash-sutcliffe efficiency (nse)calibrationswat
spellingShingle Shahram Gorgani
Maryam Hafezparast Mavaddat
Saadi Fathi
Application of the SWAT Model in Monthly Runoff Simulation of the Merg River in the Mahidasht Plain, Kermanshah Province.
مدل‌سازی پیشرفته در مهندسی عمران
validation
coefficient of determination (r²
)
nash-sutcliffe efficiency (nse)
calibration
swat
title Application of the SWAT Model in Monthly Runoff Simulation of the Merg River in the Mahidasht Plain, Kermanshah Province.
title_full Application of the SWAT Model in Monthly Runoff Simulation of the Merg River in the Mahidasht Plain, Kermanshah Province.
title_fullStr Application of the SWAT Model in Monthly Runoff Simulation of the Merg River in the Mahidasht Plain, Kermanshah Province.
title_full_unstemmed Application of the SWAT Model in Monthly Runoff Simulation of the Merg River in the Mahidasht Plain, Kermanshah Province.
title_short Application of the SWAT Model in Monthly Runoff Simulation of the Merg River in the Mahidasht Plain, Kermanshah Province.
title_sort application of the swat model in monthly runoff simulation of the merg river in the mahidasht plain kermanshah province
topic validation
coefficient of determination (r²
)
nash-sutcliffe efficiency (nse)
calibration
swat
url https://amcen.razi.ac.ir/article_3771_279ed82779a419da89e5386ae0211752.pdf
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