GUI Han-liang,ZHANG Chun-ping,WU Zhi-guo,et al.Comparison of Artificial Neural Network and SWMM Applied in Rainfall Runoff Simulation[J].China Water & Wastewater,2021,37(13 13):108-112.
Comparison of Artificial Neural Network and SWMM Applied in Rainfall Runoff Simulation
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第37卷
Number:
13 13
Page:
108-112
Column:
Date of publication:
2021-07-01
- Abstract:
- Accurate simulation of rainfall runoff has always been one of the key issues in the field of hydrology. In order to explore the applicability of artificial neural network in urban rainfall runoff simulation, radial basis neural network model and wavelet neural network model were established for simulation by using current rainfall, cumulative rainfall and flow rate in the previous period as input and the current flow rate as output, and the simulation results were compared with those of SWMM in a community in Xining City. In addition, the SWMM output was employed to train the neural network models. The radial basis neural network and wavelet neural network had high accuracy in simulation of rainfall runoff, and could simulate the actual runoff process, which was suitable for complex urban runoff process simulation. In addition, the applicability of radial basis neural network and wavelet neural network models as alternative models of SWMM was verified.
Last Update:
2021-07-01