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Yu, D., Dian, L., Hai, Y., Randall, M. T., Liu, L., Liu, J. et al. (2022). Effect of Rainfall Characteristics on the Sewer Sediment, Hydrograph, and Pollutant Discharge of Combined Sewer Overflow. Journal of Environmental Management, 303, Article ID: 114268.
https://doi.org/10.1016/j.jenvman.2021.114268

has been cited by the following article:

• TITLE: A Novel Optimization Algorithm for Calibrating Pollutant Degradation Coefficient in Deep Tunnel Based on Storm Water Management Model

  AUTHORS: Kaiyuan Zheng, Ying Zhang

  KEYWORDS: SWMM, Pollutant Degradation Coefficient, Deep Tunnel System, Optimized Algorithm

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.12 No.12, December 25, 2024

  ABSTRACT: Aiming at working out more accurate pollutant degradation coefficient of the deep tunnel system, this work puts forward a novel optimized algorithm to calibrate such coefficient and compare it with the ordinary fitting method. This algorithm incorporates the outlier filtration mechanism and the gradient descent mechanism to improve its performance, and the calibration result is substituted into storm water management model (SWMM) source codes to validate its effectiveness between simulated and observed data. COD, NH3-N, TN and TP are chosen as pollutant indicators of the observed data, and the RMSE, MSE and ME are selected as indicators to present the efficiency. The results show that the outlier filtration mechanism obtains better performance than fitting method, with the gradient descent mechanism nearly reduces 92.42% of the iterative amounts and improves 55 times of the computation efficiency than the ordinary iterative method, such algorithm is expected to function better with substantial observed data.