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Article

Using the General Regression Neural Network Method to Calibrate the Parameters of a Sub-Catchment

1
Department of Civil Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
2
Department of Civil Engineering, Ningde Normal University, Ningde 352100, China
*
Author to whom correspondence should be addressed.
Academic Editors: Achim A. Beylich and Clint N. Dawson
Water 2021, 13(8), 1089; https://doi.org/10.3390/w13081089
Received: 12 March 2021 / Revised: 5 April 2021 / Accepted: 12 April 2021 / Published: 15 April 2021
Computer software is an effective tool for simulating urban rainfall–runoff. In hydrological analyses, the storm water management model (SWMM) is widely used throughout the world. However, this model is ineffective for parameter calibration and verification owing to the complexity associated with monitoring data onsite. In the present study, the general regression neural network (GRNN) is used to predict the parameters of the catchment directly, which cannot be achieved using SWMM. Then, the runoff curve is simulated using SWMM, employing predicted parameters based on actual rainfall events. Finally, the simulated and observed runoff curves are compared. The results demonstrate that using GRNN to predict parameters is helpful for achieving simulation results with high accuracy. Thus, combining GRNN and SWMM creates an effective tool for rainfall–runoff simulation. View Full-Text
Keywords: general regression neural network; GRNN; storm water management model; SWMM; calibration; inversion analysis general regression neural network; GRNN; storm water management model; SWMM; calibration; inversion analysis
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MDPI and ACS Style

Cai, Q.-C.; Hsu, T.-H.; Lin, J.-Y. Using the General Regression Neural Network Method to Calibrate the Parameters of a Sub-Catchment. Water 2021, 13, 1089. https://doi.org/10.3390/w13081089

AMA Style

Cai Q-C, Hsu T-H, Lin J-Y. Using the General Regression Neural Network Method to Calibrate the Parameters of a Sub-Catchment. Water. 2021; 13(8):1089. https://doi.org/10.3390/w13081089

Chicago/Turabian Style

Cai, Qing-Chi; Hsu, Tsung-Hung; Lin, Jen-Yang. 2021. "Using the General Regression Neural Network Method to Calibrate the Parameters of a Sub-Catchment" Water 13, no. 8: 1089. https://doi.org/10.3390/w13081089

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