ZHENG Yan-yan,QIN Hua-peng.Hydrological Modeling of Low Impact Development Combined Facilities and Its Uncertainty Analysis[J].China Water & Wastewater,2022,38(1):114-121.
低影响开发设施组合的水文模拟及不确定性分析
- Title:
- Hydrological Modeling of Low Impact Development Combined Facilities and Its Uncertainty Analysis
- 关键词:
- 低影响开发; 暴雨洪水管理模型（SWMM）; 水文模拟; 不确定性分析; 海绵城市
- Keywords:
- low impact development; storm water management model (SWMM); hydrological modeling; uncertainty analysis; sponge city
- 摘要:
- 在海绵城市建设中，通过多种低影响开发（LID）设施的组合应用可实现对城市雨水径流的调控。针对LID设施组合的水文模拟存在高维参数估值不确定性分析的难题，以深圳环保产业园LID示范区为例，构建LID组合设施的暴雨洪水管理模型（SWMM），结合Morris筛选法与DREAM算法，对不同降雨条件下模型中不同设施、不同类型参数的灵敏度和不确定性进行分析。结果表明，位于下游的设施参数灵敏度普遍高于上游设施，排水及导水相关参数灵敏度相对较高；下游设施的排水参数后验分布峰值明显，参数不确定性小；中等强度降雨事件模拟结果的不确定性比高强度降雨事件要小。
- Abstract:
- In the construction of sponge city, the low impact development (LID) combined facilities can be used to control the rainfall runoff. But there is a large uncertainty of high-dimensional modeling with combined LID facilities. The storm water management model (SWMM) of LID combined facilities in a LID demonstration area of Shenzhen Environmental Protection Industrial Park was constructed, and the sensitivity and uncertainty of different facilities and different types of parameters in the model under different rainfall conditions were analyzed by the Morris screening method and differential evolution adaptive metropolis (DREAM) algorithm. The sensitivity of the downstream facilities parameters was generally higher than that of the upstream facilities parameters, and the sensitivity of drainage and conductivity related parameters was relatively high. The parameters of the downstream facilities had obvious peak posterior distribution and the parameter uncertainty was small. The uncertainty of the simulation results of moderate rainfall events was less than that of heavy rainfall events.
相似文献/References:
[1]李胜海,陈思,白静,等.山地城市市政道路低影响开发雨水系统设计与构建[J].中国给水排水,2018,34(20):60.
LI Sheng hai,CHEN Si,BAI Jing,et al.Design and Construction of Stormwater Systems for Low-Impact-Development of Municipal Roads in Mountainous City[J].China Water & Wastewater,2018,34(1):60.
[2]赵大维,陈韬,韩朦紫.海绵城市LID非工程措施的内涵与应用[J].中国给水排水,2021,37(22):31.
ZHAO Da-wei,CHEN Tao,HAN Meng-zi.Intension and Application of Non-structural Measures for LID in Sponge City[J].China Water & Wastewater,2021,37(1):31.
[3]仲笑林,李迪华.镇江海绵城市建设老旧小区改造中的挑战与对策[J].中国给水排水,2020,36(24):34.
ZHONG Xiao-lin,LI Di-hua.Challenges and Strategies on Retrofitting of Old Residential Communities of Zhenjiang Sponge City Development[J].China Water & Wastewater,2020,36(1):34.
[4]苏东霞,吕放放,刘学锋,等.北京某区域低影响开发措施实施效果分析[J].中国给水排水,2021,37(3):110.
SU Dong-xia,Lü Fang-fang,LIU Xue-feng,et al.Analysis on Implementation Effect of Low Impact Development Measures in a Region of Beijing[J].China Water & Wastewater,2021,37(1):110.
[5]张庭秀,李田.浅基质层干植草沟对道路径流中PAHs的去除效果[J].中国给水排水,2021,37(11):96.
ZHANG Ting-xiu,LI Tian.Removal Efficiency of Polycyclic Aromatic Hydrocarbons in Road Runoff by Dry Grass Swale with Shallow Substrate Layer[J].China Water & Wastewater,2021,37(1):96.
[6]李俊,吴珊,赵昕,等.滨海区域LID措施模型的模拟效果分析[J].中国给水排水,2018,34(21):118.
LI Jun,WU Shan,ZHAO Xin,et al.Simulation of LID Practices in Coastal Area Based on PCSWMM[J].China Water & Wastewater,2018,34(1):118.
[7]崔慧萍,彭森,吴卿,等.绿色校园雨水利用及WASP模型模拟评价[J].中国给水排水,2018,34(21):127.
CUI Hui ping,PENG Sen,WU Qing,et al.Rainwater Utilization and WASP Simulation Evaluation in Green Campus[J].China Water & Wastewater,2018,34(1):127.
[8]陈韬,钟传胤,李丹,等.基于SWMM的大型双曲屋面雨水径流模拟[J].中国给水排水,2022,38(15):121.
CHENTao,ZHONGChuan-yin,LIDan,et al.Modeling of Stormwater Runoff in Large Hyperbolic Roof Based on SWMM[J].China Water & Wastewater,2022,38(1):121.
[9]国小伟,张海行,赵晨辰,等.基于模型及在线监测的校园海绵改造项目效果评估[J].中国给水排水,2020,36(16):1.
GUO Xiao-wei,ZHANG Hai-xing,ZHAO Chen-chen,et al.Effect Assessment of Campus Sponge Construction Project Based on Model and Online Monitoring[J].China Water & Wastewater,2020,36(1):1.
[10]赵熠辉,韩小波,张金松.深圳市某水质净化厂海绵体径流控制效果模拟[J].中国给水排水,2020,36(17):110.
ZHAO Yi-hui,HAN Xiao-bo,ZHANG Jin-song.Stimulation of Rainfall Runoff Control Effect of Sponge Area in a Wastewater Treatment Plant in Shenzhen[J].China Water & Wastewater,2020,36(1):110.