ZHAO Yue,ZHANG Jian-feng,LI Tao,et al.Parameter Sensitivity Analysis and Method Comparison of Rainfall Runoff Model[J].China Water & Wastewater,2021,37(7 7):114.
Parameter Sensitivity Analysis and Method Comparison of Rainfall Runoff Model
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第37卷
Number:
7 7
Page:
114
Column:
Date of publication:
2021-04-01
- Abstract:
- Parameter identification is the main factor that determines the quality of the simulation results. In order to identify the sensitivity of 12 main parameters in storm water management model (SWMM) in Jinhua campus of Xi’an University of Technology, the uncertainty of parameters in SWMM was classified by Morris local sensitivity analysis method and GULE global sensitivity analysis method. The results of Morris local sensitivity analysis indicated that Con-Mann and Imperv were high sensitive parameters, while N-perv, Dstore-perv and coefficients related to Horton infiltration equation were all insensitivity parameters. The results of GULE global sensitivity analysis indicated that two parameters (Imperv and Con-Mann) had higher sensitivity to the model, and the other parameters had weak sensitivity. Morris local sensitivity analysis method can quantitatively analyze the sensitivity, while GULE global sensitivity analysis method can avoid the “only optimal” by statistical qualitative analysis. The above two methods have reference significance for parameter identification of SWMM and selection of identification methods.
Last Update:
2021-04-01