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

卷:

第44卷

期数:

2022年第04期

页码:

713-722

栏目:

水资源与水文地质

出版日期:

2022-07-15

文章信息/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

文章编号:

1672-6561(2022)04-0713-10

作者:

唐清竹¹; 2; 徐宗学¹; 2*; 王京晶¹; 2; 赵 刚³; 李 鹏¹; 2

(1. 北京师范大学 城市水循环与海绵城市技术北京市重点实验室,北京 100875; 2. 北京师范大学 水科学研究院,北京 100875; 3. 布里斯托大学 地理科学学院,布里斯托 BS8 1TH)

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)

关键词:

SWMM模型;  参数;  敏感性;  GLUE方法;  Morris筛选法;  暴雨;  流量;  山东

Keywords:

SWMM model;  parameter;  sensitivity;  GLUE method;  Morris method;  rainstorm;  flow;  Shandong

分类号:

TV122⁺.1

DOI:

10.19814/j.jese.2021.09047

文献标志码:

A

摘要:

开展模型参数敏感性分析是进行参数率定及提高模型模拟效果的重要前提。以山东省济南市主城区为研究对象,基于SWMM模型构建城市雨洪模型,从全局和局部角度分别采用GLUE方法与修正Morris筛选法,以流域出口流量数据为模型率定依据,对不同暴雨情景下SWMM模型中11个参数进行敏感性分析。结果表明:①GLUE方法筛选出河道糙率系数(RoughnessR)、衰减常数(Decay Constant)、不透水区洼蓄量(S-Imperv)为敏感参数; ②采用修正Morris筛选法时,不同暴雨情景下各参数对径流总量的影响大致相同,对洪峰流量影响不尽相同,对径流总量表现出中高敏感性的参数有河道糙率系数、排干时间(Drying Time)、衰减常数、最大入渗率(MaxRate)、最小入渗率(MinRate)、透水区洼蓄量(S-Perv)、管道糙率系数(RoughnessP),对洪峰流量表现出中高敏感性的参数有河道糙率系数、衰减常数、透水区曼宁系数(N-Perv); ③两种方法均可准确识别SWMM模型参数敏感性,均显示河道糙率系数与衰减常数对模拟结果的影响较为显著,具体区别在于GLUE方法可考虑参数间相互作用,判断参数是否为敏感参数,而修正Morris筛选法可对参数敏感性进行量化分级并排序。

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.

参考文献/References:

[1] 徐宗学,叶陈雷.从“城市看海”到“城市看江”:极端暴雨情景下福州市洪涝过程模拟与风险分析[J].中国防汛抗旱,2021,31(9):12-20.
XU Zong-xue,YE Chen-lei.From “Looking at Sea in City” to “Looking at River in City”:Simulation and Risk Analysis of Flood and Waterlogging Process in Fuzhou City Under Extreme Rainstorm Scenarios[J].China Flood and Drought Management,2021,31(9):12-20.
[2] 徐宗学,李 鹏.城市化水文效应研究进展:机理、方法与应对措施[J].水资源保护,2022,38(1):7-17.
XU Zong-xue,LI Peng.Progress on Hydrological Response to Urbanization:Mechanisms,Methods and Solutions[J].Water Resources Protection,2022,38(1):7-17.
[3] 黄国如,罗海婉,卢鑫祥,等.城市洪涝灾害风险分析与区划方法综述[J].水资源保护,2020,36(6):1-6.
HUANG Guo-ru,LUO Hai-wan,LU Xin-xiang,et al.Study on Risk Analysis and Zoning Method of Urban Flood Disaster[J].Water Resources Protection,2020,36(6):1-6.
[4] 周晓喜.城市雨水管网模型参数优化及应用研究[D].哈尔滨:哈尔滨工业大学,2017.
ZHOU Xiao-xi.Research on Parameter Optimization and Application of Urban Stormwater Pipe Network Model[D].Harbin:Harbin Institute of Technology,2017.
[5] 徐宗学,程 涛.城市水管理与海绵城市建设之理论基础:城市水文学研究进展[J].水利学报,2019,50(1):53-61.
XU Zong-xue,CHENG Tao.Basic Theory for Urban Water Management and Sponge City:Review on Urban Hydrology[J].Journal of Hydraulic Engineering,2019,50(1):53-61.
[6] 赵 月,张建丰,李 涛,等.降雨径流模型的参数敏感性分析与方法比较[J].中国给水排水,2021,37(7):114-120.
ZHAO Yue,ZHANG Jian-feng,LI Tao,et al.Para-meter Sensitivity Analysis and Method Comparison of Rainfall Runoff Model[J].China Water and Waste-water,2021,37(7):114-120.
[7] TANG Y,REED P,VAN WERKHOVEN K,et al.Advancing the Identification and Evaluation of Distributed Rainfall-runoff Models Using Global Sensitivity Analysis[J].Water Resources Research,2007,43(6):1-14.
[8] YOGI F,PENSA CORREA C J,ARRUDA E M,et al.Sensitivity Analysis of Rainfall-runoff Parameters Models to Estimate Flows[J].Applied Water Science,2021,11(2):25.
[9] LI M,DI Z,DUAN Q.Effect of Sensitivity Analysis on Parameter Optimization:Case Study Based on Streamflow Simulations Using the SWAT Model in China[J].Journal of Hydrology,2021,603:126896.
[10] LI N,KINZELBACH W,LI H,et al.Improving Parameter and State Estimation of a Hydrological Model with the Ensemble Square Root Filter[J].Advances in Water Resources,2021,147(4):103813.
[11] 邓陈宁.不同空间尺度城市低影响开发的环境水文效应模拟[D].西安:西安理工大学,2018.
DENG Chen-ning.Simulation of Environmental Hyd-rological Effects of Urban LID in Different Spatial Scales[D].Xi'an:Xi'an University of Technology,2018.
[12] CHEN Y,LIU G,HUANG X,et al.Development of a Surrogate Method of Groundwater Modeling Using Gated Recurrent Unit to Improve the Efficiency of Pa-rameter Auto-calibration and Global Sensitivity Ana-lysis[J].Journal of Hydrology,2020,598:125726.
[13] 宋晓猛,张建云,占车生,等.水文模型参数敏感性分析方法评述[J].水利水电科技进展,2015,35(6):105-112.
SONG Xiao-meng,ZHANG Jian-yun,ZHAN Che-sheng,et al.Review of Methods of Parameter Sensitivity Analysis in Hydrologic Modeling[J].Advances in Science and Technology of Water Resources,2015,35(6):105-112.
[14] 常晓栋,徐宗学,赵 刚,等.基于Sobol方法的SWMM模型参数敏感性分析[J].水力发电学报,2018,37(3):59-68.
CHANG Xiao-dong,XU Zong-xue,ZHAO Gang,et al.Sensitivity Analysis on SWMM Model Parameters Based on Sobol Method[J].Journal of Hydroelectric Engineering,2018,37(3):59-68.
[15] FREER J,BEVEN K,AMBROISE B.Bayesian Estimation of Uncertainty in Runoff Prediction and the Value of Data:An Application of the GLUE Approa-ch[J].Water Resources Research,1996,32(7):2161-2173.
[16] 王京晶,徐宗学,赵 刚,等.基流分割对城市雨洪过程模拟的影响研究——以济南市主城区为例[J].北京师范大学学报(自然科学版),2021,57(6):776-783.
WANG Jing-jing,XU Zong-xue,ZHAO Gang,et al.Effect of Baseflow Separation on Simulation of Urban Rainfall Runoff Processes:Case of the Metropolitan Area,Jinan[J].Journal of Beijing Normal University(Natural Science),2021,57(6):776-783.
[17] 史 蓉,赵 刚,庞 博,等.基于GLUE方法的城市雨洪模型参数不确定性分析[J].水文,2016,36(2):1-6.
SHI Rong,ZHAO Gang,PANG Bo,et al.Uncertainty Analysis of SWMM Model Parameters Based on GLUE Method[J].Journal of China Hydrology,2016,36(2):1-6.
[18] 李伟雨.基于SWMM模型的悦来会展城雨洪模拟研究[D].重庆:重庆大学,2018.
LI Wei-yu.Study on Stormwater Simulation in Convention and Exhibition City of Yuelai Based on SWMM[D].Chongqing:Chongqing University,2018.
[19] 史 蓉,庞 博,赵 刚,等.SWMM模型在城市暴雨洪水模拟中的参数敏感性分析[J].北京师范大学学报(自然科学版),2014,50(5):456-460.
SHI Rong,PANG Bo,ZHAO Gang,et al.Analyzing Parameter Sensitivity for the SWMM Model in Urban Storm Water Simulation[J].Journal of Beijing Normal University(Natural Science),2014,50(5):456-460.
[20] 廖如婷,徐宗学,叶陈雷,等.暴雨洪水管理模型参数敏感性分析方法研究[J].水力发电学报,2022,41(6):11-21.
LIAO Ru-ting,XU Zong-xue,YE Chen-lei,et al.Stu-dy on Parameter Sensitivity Analysis Method of Storm Water Management Model[J].Journal of Hydroelectric Engineering,2022,41(6):11-21.
[21] 赵彦军,徐宗学,赵 刚,等.城市化对济南小清河流域产汇流的影响研究[J].水力发电学报,2019,38(10):35-46.
ZHAO Yan-jun,XU Zong-xue,ZHAO Gang,et al.Impact of Urbanization on Regional Rainfall-runoff Processes in Xiaoqing River Basin,Jinan[J].Journal of Hydroelectric Engineering,2019,38(10):35-46.
[22] 冯仕远.城市增长背景下济南市城区洪涝模拟研究[D].济南:济南大学,2019.
FENG Shi-yuan.Flood Simulation and Impact Assessment Under Future Urban Sprawl in Jinan City[D].Jinan:Jinan University,2019.
[23] 程 涛,徐宗学,洪思扬,等.济南市山前平原区暴雨内涝模拟[J].北京师范大学学报(自然科学版),2018,54(2):246-253.
CHENG Tao,XU Zong-xue,HONG Si-yang,et al.Simulating Rainstorm Waterlog in Piedmont Plains in Jinan City[J].Journal of Beijing Normal University(Natural Science),2018,54(2):246-253.
[24] 张宝祥.雨洪管理目标下的既有住区室外空间设计研究[D].大连:大连理工大学,2019.
ZHANG Bao-xiang.Study on Outdoor Space Design of Existing Settlements Under the Target of Stormwater Management:Taking Dalian as an Example[D].Dalian:Dalian University of Technology,2019.
[25] 黄国如,冯 杰,刘宁宁,等.城市雨洪模型及应用[M].北京:中国水利水电出版社,2013.
HUANG Guo-ru,FENG Jie,LIU Ning-ning,et al.Urban Storm Water Model and Its Application[M].Beijing:China Water and Power Press,2013.
[26] 常晓栋,徐宗学,赵 刚,等.山前平原型城市雨洪模拟与应用:以济南市为例[J].水力发电学报,2018,37(5):107-116.
CHANG Xiao-dong,XU Zong-xue,ZHAO Gang,et al.Simulation of Urban Rainfall-runoff in Piedmont Ci-ties:Case Study of Jinan City,China[J].Journal of Hydroelectric Engineering,2018,37(5):107-116.
[27] ROSSMAN L A.Storm Water Management Model User's Manual,Version 5.0[M].Cincinnati:EPA,2010.
[28] BEVEN K,BINLEY A M.The Future of Distributed Models:Model Calibration and Uncertainty Prediction[J].Hydrological Processes,1992,6(3):279-298.
[29] BEVEN K,FREER J.Equifinality,Data Assimilation,and Uncertainty Estimation in Mechanistic Modelling of Complex Environmental Systems Using the GLUE Methodology[J].Journal of Hydrology,2001,249(1/2/3/4):11-29.
[30] PAPPENBERGE F,BEVEN K,DE ROO A D,et al.Uncertainty Analysis of the Rainfall Runoff Model LisFlood Within the Generalized Likelihood Uncertainty Estimation(GLUE)[J].International Journal of River Basin Management,2004,2(2):123-133.
[31] 苏海龙.基于SWMM模型的城市雨洪模拟研究[D].西安:西安理工大学,2018.
SU Hai-long.Urban Rain Flood Simulation Research Based on SWMM Model:A Case Study of Xiaozhai District in Xi'an[D].Xi'an:Xi'an University of Technology,2018.
[32] 付 超.基于SWMM模型的邯郸某区城市内涝模拟研究[D].邯郸:河北工程大学,2020.
FU Chao.Simulation of Urban Waterlogging of Certain District in Handan Based on SWMM Model[D].Handan:Hebei University of Engineering,2020.
[33] TANG Y,REED P,WAGENER T,et al.Comparing Sensitivity Analysis Methods to Advance Lumped Watershed Model Identification and Evaluation[J].Hydrology and Earth System Sciences,2007,11(2):793-817.

相似文献/References:

备注/Memo

备注/Memo:

收稿日期:2021-09-24; 修回日期:2022-01-26投稿网址:http:∥jese.chd.edu.cn/
基金项目:国家重点研发计划项目(2017YFC1502701)
作者简介:唐清竹(1999-),女,黑龙江鸡西人,工学硕士研究生,E-mail:tangqingzhu@mail.bnu.edu.cn。
*通讯作者:徐宗学(1962-),男,山东淄博人,教授,博士研究生导师,工学博士,E-mail:zxxu@bnu.edu.cn。

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更新日期/Last Update: 2022-07-30