Comparison of Rainfall-Runoff Simulation between Support Vector Regression and HEC-HMS for a Rural Watershed in Taiwan
National Science and Technology Center for Disaster Reduction, New Taipei City 23143, Taiwan
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Academic Editor: Marco Franchini
Water 2022, 14(2), 191; https://doi.org/10.3390/w14020191
Received: 15 December 2021
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Revised: 6 January 2022
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Accepted: 7 January 2022
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Published: 11 January 2022
(This article belongs to the Special Issue Mitigation Techniques for Water-Induced Natural Disasters: The State of the Art)
To better understand the effect and constraint of different data lengths on the data-driven model training for the rainfall-runoff simulation, the support vector regression (SVR) approach was applied to the data-driven model as the core algorithm in the present study. Various features selection strategies and different data lengths were employed in the training phase of the model. The validated results of the SVR were compared with the rainfall-runoff simulation derived from a physically based hydrologic model, the Hydrologic Modeling System (HEC-HMS). The HEC-HMS was considered a conventional approach and was also calibrated with a dataset period identical to the SVR. Our results showed that the SVR and HEC-HMS models could be adopted for short and long periods of rainfall-runoff simulation. However, the SVR model estimated the rainfall-runoff relationship reasonably well even if the observational data of one year or one typhoon event was used. In contrast, the HEC-HMS model needed more parameter optimization and inference processes to achieve the same performance level as the SVR model. Overall, the SVR model was superior to the HEC-HMS model in the performance of the rainfall-runoff simulation.
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MDPI and ACS Style
Chiang, S.; Chang, C.-H.; Chen, W.-B. Comparison of Rainfall-Runoff Simulation between Support Vector Regression and HEC-HMS for a Rural Watershed in Taiwan. Water 2022, 14, 191. https://doi.org/10.3390/w14020191
AMA Style
Chiang S, Chang C-H, Chen W-B. Comparison of Rainfall-Runoff Simulation between Support Vector Regression and HEC-HMS for a Rural Watershed in Taiwan. Water. 2022; 14(2):191. https://doi.org/10.3390/w14020191
Chicago/Turabian StyleChiang, Shen, Chih-Hsin Chang, and Wei-Bo Chen. 2022. "Comparison of Rainfall-Runoff Simulation between Support Vector Regression and HEC-HMS for a Rural Watershed in Taiwan" Water 14, no. 2: 191. https://doi.org/10.3390/w14020191
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