|Table of Contents|

Parameter Sensitivity of Urban Storm Models Based on Global and Local Optimum Methods—A Case Study in the Main Urban Area of Jinan City, China(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2022年第04期
Page:
713-722
Research Field:
水资源与水文地质
Publishing date:

Info

Title:
Parameter Sensitivity of Urban Storm Models Based on Global and Local Optimum Methods—A Case Study in the Main Urban Area of Jinan City, China
Author(s):
TANG Qing-zhu1; 2;  XU Zong-xue1; 2*;  WANG Jing-jing1; 2;  ZHAO Gang3;  LI Peng1; 2
(1. Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing Normal University, Beijing 100875, China; 2. College of Water Sciences, Beijing Normal University, Beijing 100875, China; 3. School of Geographical Sciences, University of Bristol, Bristol BS8 1TH, UK)
Keywords:
SWMM model;  parameter;  sensitivity;  GLUE method;  Morris method;  rainstorm;  flow;  Shandong
PACS:
TV122+.1
DOI:
10.19814/j.jese.2021.09047
Abstract:
Sensitivity analysis of model parameters is an important prerequisite for urban flood modeling. An urban hydrological model named Storm Water Management Model(SWMM)was developed in the main urban area of Jinan city, China. The generalised likelihood uncertainty estimation(GLUE)method and the modified Morris method were used for sensitivity analysis respectively from both global and local perspectives, and the discharge series at the watershed outlet was used as the calibration and validation data. The sensitivity of SWMM model parameters under different storm scenarios was analyzed. The results show that ① RoughnessR, Decay Constant, S-Imperv are selected as sensitivity parameters by using the GLUE method; ② the influence of each parameter on the total runoff by using modified Morris method is roughly the same under different storm scenarios, but the influence on the peak flow is different; RoughnessR, Drying Time, Decay Constant, MaxRate, MinRate, S-Perv, and RoughnessP show high sensitivity to the total runoff, and RoughnessR, Decay Constant and N-Perv show high sensitivity to the peak flow; ③ both GLUE and modified Morris methods can accurately identify the high sensitive parameters of SWMM model; the uncertainty of RoughnessR and Decay Constant has a significant influence on the simulation results; the difference is that the GLUE method can be used to determine whether the parameters are sensitive, and the modified Morris method can be used to quantitatively rank the parameter sensitivity.

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Last Update: 2022-07-30