期刊文献+

区域特征参数及降雨等级差异性对合流制系统溢流影响模拟研究 被引量:7

Simulation study on the influence of regional characteristic parameter and rainfall grade difference of combined sewer overflow
下载PDF
导出
摘要 针对地形坡度、土壤渗透性能、不透水面积率、年径流总量控制率、截流倍数、截流井上游管段设计重现期六类合流制区域特征参数及降雨因素对合流制溢流总量及溢流频次的影响,利用SWMM模型模拟研究了合流制区域特征参数对溢流结果的影响权重、合流制区域特征参数组合正交方案的差异性及降雨因素与引入的溢流比概念的响应关系。结果表明,合流制区域特征参数针对不同的溢流评价指标,在场次降雨与雨季连续降雨边界条件下对溢流结果的影响权重排序不同;不同合流制区域特征参数组合工况条件下,源头体积控制可对溢流总量削减12.01%~100%,对溢流频次可削减0~6次;年溢流比与年降雨量关联性较强,年溢流比高的年份为特丰水年或偏丰水年;对于场次降雨来说,当降雨等级为大到暴雨及以上等级易产生溢流,场次溢流比随降雨等级增加而增加。 According to the effect of six types of combined sewer system regional characteristic parameters including terrain slope,soil permeability,impervious ratio,capture ratio of annual rainfall runoff volume,interception ratio,interception well upstream pipe network design return period and rainfall factors on combined sewer overflow(CSO)volume and frequency.SWMM is used to simulate and study the influence weights of the combined regional characteristic parameters on the CSO,the difference of the combined orthogonal schemes of combined regional characteristic parameters,and the response relationship between rainfall factors and the introduced concept of the overflow ratio.The results show that the influence weight ranking of combined sewer system parameters on overflow is different for different overflow evaluation indicators and different rainfall data;Under different combined system parameters combination conditions,under the different total annual runoff control rate,the total overflow can be reduced by 12.01%~100%,and the overflow frequency can be reduced by 0~6 times;The annual overflow ratio has a strong correlation with the annual rainfall,and the annual overflow ratio is high under the especially abundant water year and the wet year;For a rainfall event,when the rainfall level is large to heavy rain and above,it is easy to cause overflow,and the session overflow ratio of the event increases with the increase of the rainfall level.
作者 周金成 李俊奇 杨超 ZHOU Jincheng;LI Junqi;YANG Chao(Key Laboratory of Urban Stormwater System and Water Environment,Ministry of Education,Beijitig University of Civil Engineering and Architecture,Beijing 100044,China;Water Environment Experimental Teaching Center,Beijing University of Civil Engineering and Architecture,Beijing 100044,China;Beijing Drainage Group Co.,Ltd.,Beijing 100044,China)
出处 《给水排水》 CSCD 北大核心 2021年第9期44-52,共9页 Water & Wastewater Engineering
基金 北京市自然科学基金重点项目(8191001)。
关键词 合流制溢流 区域特征参数 源头体积控制 溢流比 SWMM 雨水管理 CSO Regional characteristic parameter Source volume control Overflow rate SWMM Stormwater management
  • 相关文献

参考文献2

二级参考文献18

  • 1黄国如,解河海.基于GLUE方法的流域水文模型的不确定性分析[J].华南理工大学学报(自然科学版),2007,35(3):137-142. 被引量:35
  • 2N.A Zaghloul,M.A Abu Kiefa.Neural network solution of inverse parameters used in the sensitivity-calibration analyses of the SWMM model simulations[J].Advances in Engineering Software.2001(7)
  • 3Barco J,Wong K M ,Stenstrom M K,et al. Automatic cal- ibration of the U.S. EPA SWMM model for a large urban catchment [ J ]. J Hydraul Eng, 2008,134 ( 4 ) :466 - 474.
  • 4Lowe S A. Sanitary sewer design using EPA storm water management model ( SWMM ) [ J ]. Comput Appl Eng Edue,2010,18 (2) :203 - 212.
  • 5Dirk Muschalla,Bertrand Vallet,Fran?ois Anctil,Paul Lessard,Geneviève Pelletier,Peter A. Vanrolleghem.??Ecohydraulic-driven real-time control of stormwater basins(J)Journal of Hydrology . 2014
  • 6G. Burger,R. Sitzenfrei,M. Kleidorfer,W. Rauch.??Parallel flow routing in SWMM 5(J)Environmental Modelling and Software . 2014
  • 7Javier Bonilla,Luis José Yebra,Sebastián Dormido,Eduardo Zarza.??Parabolic-trough solar thermal power plant simulation scheme, multi-objective genetic algorithm calibration and validation(J)Solar Energy . 2011 (1)
  • 8J. Zádor,I.Gy. Zsély,T. Turányi.??Local and global uncertainty analysis of complex chemical kinetic systems(J)Reliability Engineering and System Safety . 2005 (10)
  • 9A. Francos,F.J. Elorza,F. Bouraoui,G. Bidoglio,L. Galbiati.??Sensitivity analysis of distributed environmental simulation models: understanding the model behaviour in hydrological studies at the catchment scale(J)Reliability Engineering and System Safety . 2002 (2)
  • 10孙全民,胡湛波,李志华,彭艺艺,陈立华,魏群.基于SWMM截流式合流制管网溢流水质水量模拟[J].给水排水,2010,36(7):175-179. 被引量:16

共引文献53

同被引文献95

引证文献7

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部