Article(id=1223278135060336980, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223278131956551924, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20230006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1672588800000, receivedDateStr=2023-01-02, revisedDate=1675180800000, revisedDateStr=2023-02-01, acceptedDate=null, acceptedDateStr=null, onlineDate=1769581834807, onlineDateStr=2026-01-28, pubDate=1698163200000, pubDateStr=2023-10-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769581834807, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769581834807, creator=13701087609, updateTime=1769581834807, updator=13701087609, issue=Issue{id=1223278131956551924, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='10', pageStart='1', pageEnd='228', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769581834067, creator=13701087609, updateTime=1769584342407, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223288652869030422, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223278131956551924, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223288652869030423, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223278131956551924, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=115, endPage=118, ext={EN=ArticleExt(id=1223278135949529478, articleId=1223278135060336980, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Simulation Study on Factors Influencing Drainage Capacity of Urban Pipe Network in Plain River Network, columnId=1222925283779400191, journalTitle=Water Resources and Power, columnName=WATER CONSERVANCY AND HYDROPOWER ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

The problem of standard disconnection often exists in the two-level drainage mode of plain river network cities in China. As a result, when heavy rainfall occurs, the hydraulic characteristics and drainage capacity of pipe network system are affected by both rainfall intensity and water level of drainage water, making it difficult for waterlogging to discharge out. Therefore, taking the municipal drainage system and water drainage system of Suzhou Industrial Park as an example, the multi-scenario flood process simulation based on SWMM was carried out, and the analysis showed that when the river water level was between 1.70 m and 2.30 m, the main reason for the water accumulation in the study area was the insufficient capacity of the current pipe network system itself, and the river water level aggravated the water accumulation. When the water level exceeded 2.30 m and keep rising, the drainage capacity of the pipe network system decreased sharply, and the river level gradually became the main factor restricting the flow capacity of the pipeline and aggravating the degree of water accumulation. It is suggested that the maximum water level for river drainage control in the study area should be around 2.30-2.32 m. This conclusion can provide reference for urban river level regulation to improve urban drainage and waterlogging capacity.

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我国平原河网城市的两级排涝模式常存在标准不衔接问题,致使强降雨发生时,管网系统的水力特性、排水能力受降雨强度和承泄水体水位的双重影响,涝水外排困难。为此,以苏州工业园区的市政排水系统与水利排涝系统为例,基于SWMM模拟多情景洪涝过程,分析得出河道水位在1.70~2.30 m之间时,研究区域积水的主要原因是现状管网系统自身能力不足,河道水位加剧了积水情况;当水位超过2.30 m并不断上涨时,管网系统排水能力骤减,河道水位逐渐成为制约管道过流能力、加重积水程度的主要因素,建议研究区域河道排涝控制最高水位宜在2.30~2.32 m左右。该结论可为城市河道水位调控以提高城市排水防涝能力提供参考。

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朱桂娥(1975-),女,教授级高级工程师,研究方向为水利水环境工程规划,E-mail:
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王妍(1999-),女,硕士研究生,研究方向为城市防洪排涝,E-mail:

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王妍(1999-),女,硕士研究生,研究方向为城市防洪排涝,E-mail:

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王妍(1999-),女,硕士研究生,研究方向为城市防洪排涝,E-mail:

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平原河网城市管网排水能力影响因素模拟研究
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王妍 1, 2 , 朱桂娥 1 , 朱勇 1 , 王岗 2
水电能源科学 | 水利水电工程 2023,41(10): 115-118
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水电能源科学 | 水利水电工程 2023, 41(10): 115-118
平原河网城市管网排水能力影响因素模拟研究
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王妍1, 2 , 朱桂娥1 , 朱勇1, 王岗2
作者信息
  • 1.上海勘测设计研究院有限公司,上海 200434
  • 2.河海大学港口海岸与近海工程学院,江苏 南京 210098
  • 王妍(1999-),女,硕士研究生,研究方向为城市防洪排涝,E-mail:

通讯作者:

朱桂娥(1975-),女,教授级高级工程师,研究方向为水利水环境工程规划,E-mail:
Simulation Study on Factors Influencing Drainage Capacity of Urban Pipe Network in Plain River Network
Yan WANG1, 2 , Gui-e ZHU1 , Yong ZHU1, Gang WANG2
Affiliations
  • 1.Shanghai Investigation, Design & Research Institute Co., Ltd., Shanghai 200434, China
  • 2.College of Harbour, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China
出版时间: 2023-10-25 doi: 10.20040/j.cnki.1000-7709.2023.20230006
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我国平原河网城市的两级排涝模式常存在标准不衔接问题,致使强降雨发生时,管网系统的水力特性、排水能力受降雨强度和承泄水体水位的双重影响,涝水外排困难。为此,以苏州工业园区的市政排水系统与水利排涝系统为例,基于SWMM模拟多情景洪涝过程,分析得出河道水位在1.70~2.30 m之间时,研究区域积水的主要原因是现状管网系统自身能力不足,河道水位加剧了积水情况;当水位超过2.30 m并不断上涨时,管网系统排水能力骤减,河道水位逐渐成为制约管道过流能力、加重积水程度的主要因素,建议研究区域河道排涝控制最高水位宜在2.30~2.32 m左右。该结论可为城市河道水位调控以提高城市排水防涝能力提供参考。

河道水位  /  管网排水能力  /  SWMM模型  /  水力坡降

The problem of standard disconnection often exists in the two-level drainage mode of plain river network cities in China. As a result, when heavy rainfall occurs, the hydraulic characteristics and drainage capacity of pipe network system are affected by both rainfall intensity and water level of drainage water, making it difficult for waterlogging to discharge out. Therefore, taking the municipal drainage system and water drainage system of Suzhou Industrial Park as an example, the multi-scenario flood process simulation based on SWMM was carried out, and the analysis showed that when the river water level was between 1.70 m and 2.30 m, the main reason for the water accumulation in the study area was the insufficient capacity of the current pipe network system itself, and the river water level aggravated the water accumulation. When the water level exceeded 2.30 m and keep rising, the drainage capacity of the pipe network system decreased sharply, and the river level gradually became the main factor restricting the flow capacity of the pipeline and aggravating the degree of water accumulation. It is suggested that the maximum water level for river drainage control in the study area should be around 2.30-2.32 m. This conclusion can provide reference for urban river level regulation to improve urban drainage and waterlogging capacity.

river water level  /  drainage capacity of pipe network  /  SWMM model  /  hydraulic slope drop
王妍, 朱桂娥, 朱勇, 王岗. 平原河网城市管网排水能力影响因素模拟研究. 水电能源科学, 2023 , 41 (10) : 115 -118 . DOI: 10.20040/j.cnki.1000-7709.2023.20230006
Yan WANG, Gui-e ZHU, Yong ZHU, Gang WANG. Simulation Study on Factors Influencing Drainage Capacity of Urban Pipe Network in Plain River Network[J]. Water Resources and Power, 2023 , 41 (10) : 115 -118 . DOI: 10.20040/j.cnki.1000-7709.2023.20230006
2023年第41卷第10期
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doi: 10.20040/j.cnki.1000-7709.2023.20230006
  • 接收时间:2023-01-02
  • 首发时间:2026-01-28
  • 出版时间:2023-10-25
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  • 收稿日期:2023-01-02
  • 修回日期:2023-02-01
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作者信息
    1.上海勘测设计研究院有限公司,上海 200434
    2.河海大学港口海岸与近海工程学院,江苏 南京 210098

通讯作者:

朱桂娥(1975-),女,教授级高级工程师,研究方向为水利水环境工程规划,E-mail:
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2种不同金属材料的力学参数

Family
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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