WANGFei-fei,QINGXiao-xia,YANGSen-xiong,et al.Automatic Calibration of SWMM Parameters Based on PySWMM[J].China Water & Wastewater,2022,38(21):124-130.
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Automatic Calibration of SWMM Parameters Based on PySWMM

China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU] volume: 第38卷 Number: 第21期 Page: 124-130 Column: Date of publication: 2022-11-01
Author(s):
WANG　Fei-fei1;  QING　Xiao-xia2;  YANG　Sen-xiong3;  CUI　Zhong-jie1
（1. College of Environment and Ecology， Chongqing University， Chongqing 400045， China； 2. School of Civil Engineering， Chongqing University， Chongqing 400045， China； 3. PowerChina Guiyang Engineering Corporation Limited， Guiyang 550000， China）
Keywords:
SWMM;  automatic calibration;  PySWMM;  urban rainfall runoff simulation
Abstract:
The SWMM original dynamic link library is lack of relevant application programming interface functions, and the parameter optimization module is unable to perform automatic parameter calibration. Therefore, a model for automatic calibration of SWMM parameters based on PySWMM coupled with genetic algorithm was proposed, and it was calibrated and evaluated by 36 independent rainfall events in Yuelai New Town, Chongqing. Characteristics of rain fall type had great influence on the simulation performance of the model. The calibrated model had good adaptability to the rainfall process of different rainfall types, and the determination coefficient R2 was more than 0.79. The best simulation performance was achieved for the rainfall event with high frequency and single peak forward (type Ⅰ), the Nash-Sutcliffe efficiency coefficient (NSE) reached 0.90, and the peak relative error (PE) was only -0.07.
Last Update: 2022-11-01