[1]杨东,侯精明,李东来,等.基于扩散波方法的管网排水过程数值模拟[J].中国给水排水,2020,36(15):113-120.
　YANG Dong,HOU Jing-ming,LI Dong-lai,et al.Numerical Simulation of Pipe Network Drainage Process Based on Diffusion Wave Method[J].China Water & Wastewater,2020,36(15):113-120.
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基于扩散波方法的管网排水过程数值模拟

中国给水排水[ISSN:1000-4062/CN:12-1073/TU] 卷: 第36卷 期数: 2020年第15期 页码: 113-120 栏目: 出版日期: 2020-08-01
Title:
Numerical Simulation of Pipe Network Drainage Process Based on Diffusion Wave Method
作者:
杨东1，侯精明1，李东来1，同玉1，黄绵松2，邓朝显3
(1.西安理工大学省部共建西北旱区生态水利国家重点实验室，陕西西安710048；2.北京首创股份有限公司，北京100028；3.陕西省西咸新区沣西新城开发建设<集团>有限公司海绵城市技术中心，陕西西安712000)
Author(s):
YANG Dong1,HOU Jing-ming1,LI Dong-lai1,TONG Yu1,HUANG Mian-song2,DENG Chao-xian3
(1. State Key Laboratory of Ecohydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an 710048, China； 2. Beijing Capital Co. Ltd., Beijing 100028， China; 3. Technology Research Center for Sponge City, Fengxi New City Development and Construction Co. Ltd. of Shaanxi Xixian New Area, Xi’an 712000, China)
关键词:
城市雨洪; 排水管网模型; 扩散波; 水动力方法; 防洪排涝
Keywords:
urban stormwater; drainage pipe network model; diffusion wave; hydrodynamic method; flood control and drainage
摘要:
基于扩散波方法，构建了一套排水管网水动力模型，并与已开发的高分辨率城市地表水文水动力模型进行了耦合。以理想排水管网和陕西省西咸新区沣西新城某小区实际排水管网的排涝过程验证模型，并模拟城市暴雨致涝过程。结果表明：理想算例中，该模型与SWMM模拟排水口流量过程高度吻合；实际算例中，与实测排水口流量过程对比，该模型的Nash-Sutcliffe效率系数分别为0.74、0.72、0.93和0.71，大于SWMM模型的0.62、0.66、0.73与0.65。在模拟研究区内涝积水过程时，计算数据与实测数据吻合度高，内涝积水点均实现精确模拟。
Abstract:
A set of hydrodynamic models of drainage pipe network was constructed based on diffusion wave method, and it was coupled with a developed high-resolution hydrodynamic model of urban surface. The model was verified by an ideal drainage pipe network and an actual drainage pipe network of a residential area in Fengxi New City of Xixian New Area, and the process of waterlogging caused by urban rainstorm was simulated. The model was highly consistent with discharge flow process simulated by SWMM in the ideal example. In the actual example and compared with the measured discharge flow process, the Nash-Sutcliffe coefficients of this model was 0.74, 0.72, 0.93 and 0.71, respectively, which were larger than those of SWMM model (0.62, 0.66, 0.73 and 0.65). When simulating the waterlogging process in the study area, the calculated data had a high degree of coincidence with the measured data, and the waterlogging points could be accurately simulated.

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更新日期/Last Update: 2020-08-01