Runoff simulation and prediction using Support Vector Regression (SVR) and SWAT Hydrological model
Publish place: Journal of Hydrosciences and Environment، Vol: 4، Issue: 8
Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JHE-4-8_002
تاریخ نمایه سازی: 23 خرداد 1401
Abstract:
The application of dynamic and continuous time series has drawn attention due to the complexities of the rainfall-runoff process and the simplification of multiple regression and static methods. On the other hand, forecasting river flow is one of the main topics in flood control. This paper reports the results of applying the SWAT hydrological model to analyze the rainfall-runoff relationship for a ۶-year period in the Kahir catchment basin, Sistan and Baluchistan province. The model output was calibrated by the SUF۱۲ optimizer algorithm, and the data entered the model again. Then, the model output was used to forecast future periods using Support Vector Regression (SVR) and essential codes in MATLAB. The acceptable results of the SVR model regarding data prediction can be used as another method to estimate parameters and inputs.
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Authors
Mehdi Azhdary Moghaddam
University of Sistan and Baluchestan
Mohsen Rashki
University of Sistan and Baluchestan
Soroosh Sanayee
University of Sistan and Baluchestan