YANGChen-chen,FANChong,LIUQi,et al.Investigation and Implementation of SWMM Parameters Optimization Method in Regions without Pipeline Flow Data[J].China Water & Wastewater,2024,40(23):129-136.
Investigation and Implementation of SWMM Parameters Optimization Method in Regions without Pipeline Flow Data
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第40卷
Number:
第23期
Page:
129-136
Column:
Date of publication:
2024-12-01
- Abstract:
- The precise simulation of urban stormwater models serves as the foundation for rapid flood prediction and early warning. The model parameters significantly influence both accuracy and reliability. However, the scarcity of measured discharge data from urban stormwater pipe network in China poses substantial challenges to the automated optimization of these model parameters. In this study, the RCNOA algorithm was proposed to address the challenge of automatic parameter optimization for the SWMM model in the absence of pipeline flow data, and its applicability was assessed in the eastern region of Yuelu District in Changsha City. Initially, sensitivity analysis method was employed to identify the optimal set of seven parameters. Subsequently, the RCNOA algorithm was employed for parameter calibration. The parameters of N-Imperv, N-Perv, S-Imperv, MaxRate, MinRate, DryTime and Roughness were established at values of 0.045, 0.113, 1.468 mm, 94.819 mm/h, 14.585 mm/h, 12.527 d, and 0.016 respectively. Utilizing the calibrated parameter values, the corresponding runoff coefficients were simulated across various rainfall recurrence intervals, with variation coefficients consistently remaining within ±5%. This indicated that the calibration parameters were adequate for the SWMM model to effectively simulate runoff in the study area. The methodology proposed in this study will effectively address the automatic parameter optimization requirements of urban stormwater models in regions lacking pipeline flow data, thereby contributing to the sustainable development of these models. Furthermore, it has important guiding significance for cities to deal with rainstorm and flood events and make waterlogging prevention decisions in the future.
Last Update:
2024-12-01