[1]康得军,邱福杰,温儒杰,等.基于SWMM的LID参数局部与全局敏感性分析[J].中国给水排水,2023,39(17):131-138.
　KANGDe-jun,QIUFu-jie,WENRu-jie,et al.Analysis on Local and Global Sensitivity of LID Parameters Based on SWMM[J].China Water & Wastewater,2023,39(17):131-138.
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基于SWMM的LID参数局部与全局敏感性分析

中国给水排水[ISSN:1000-4062/CN:12-1073/TU] 卷: 第39卷 期数: 2023年第17期 页码: 131-138 栏目: 出版日期: 2023-09-01
Title:
Analysis on Local and Global Sensitivity of LID Parameters Based on SWMM
作者:
康得军1,2， 邱福杰1,3， 温儒杰1,4， 吴端炜1,5， 赖李保壹1,6， 赵颖7
（1.福州大学 土木工程学院，福建 福州 350116；2.福州大学晋江科教园，福建 晋江 362251；3.华东勘测设计院<福建>有限公司，福建 福州 350001；4.中冶京诚工程技术有限公司，北京 100176；5.中国市政工程中南设计研究总院有限公司，湖北 武汉 430010；6.福建省龙岩市长汀县濯田镇政府，福建 龙岩 366300；7.中国环境科学研究院，北京 100012）
Author(s):
KANG　De-jun1，2， QIU　Fu-jie1，3， WEN　Ru-jie1，4， WU　Duan-wei1，5， LAI　Li-bao-yi1，6， ZHAO　Ying7
（1. College of Civil Engineering， Fuzhou University， Fuzhou 350116， China； 2. Jinjiang Science and Education Park of Fuzhou University， Jinjiang 362251， China； 3. Huadong Engineering Corporation， Fuzhou 350001， China； 4. Capital Engineering & Research Incorporation Limited， Beijing 100176， China； 5. Central & Southern China Municipal Engineering Design and Research Institute Co. Ltd.， Wuhan 430010， China； 6. Zhuotian Town Government of Changting County in Longyan City of Fujian Province， Longyan 366300， China； 7. Chinese Research Academy of Environmental Sciences， Beijing 100012， China）
关键词:
SWMM;  LID（低影响开发）参数;  敏感性分析;  MATLAB
Keywords:
SWMM (storm water management model);  LID (low impact development) parameters;  sensitivity analysis;  MATLAB
摘要:
针对SWMM模型LID（低影响开发）参数的敏感性编程分析及其取值对模拟的影响，编写了MATLAB、Visual Basic.NET代码，选用修正的Morris筛选法与多元逐步回归法，分析了福州大学晋江科教园SWMM模型透水铺装、绿色屋顶、生物滞留带29个经验参数的敏感性。结果表明，对径流总量与COD总量显著敏感的是LID利用模块参数：处理不渗透面积百分比，其是LID模拟关键参数；透水铺装参数对径流总量的敏感性与降雨强度呈负相关，绿色屋顶、生物滞留带参数对径流总量的敏感性与降雨强度呈正相关，3种LID设施参数对COD总量的敏感性较为稳定，表明LID控制模块参数对不同目标变量呈现不同的敏感性；多元逐步回归法的敏感性参数多于修正的Morris筛选法，前者能全面探究参数与目标变量的线性关系以及参数相互作用对结果的影响。
Abstract:
Aiming at the sensitivity programming analysis of LID (low impact development) parameters of SWMM (storm water management model) and its impact on simulation, MATLAB and Visual Basic.NET code were compiled, and the modified Morris screening method and multiple stepwise regression method were used to analyze the sensitivity of 29 empirical parameters of PP (permeable pavement), GR (green roof) and BC (bioretention cell) in the SWMM of Jinjiang Science and Education Park of Fuzhou University. The parameter that showed great sensitivity to the total runoff and COD was the LID usage module parameter: % of Impervious Area Treated, indicating that it was the key parameter for LID simulation. The sensitivity of PP parameters to total runoff decreased with the increase of rainfall intensity, but the sensitivity of GR and BC parameters to total runoff increased with the increase of rainfall intensity, and the sensitivity of the three LID parameters to the total COD was relatively stable, indicating that the LID control module parameters showed different sensitivities to different target variables. Multiple stepwise regression method showed more sensitive parameters than modified Morris screening method, indicating that the former could explore the linear relationship between parameters and target variables and the impact of parameter interaction on the results.

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更新日期/Last Update: 2023-09-01