Article(id=1223196808424309652, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223196803663778281, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20222046, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1664467200000, receivedDateStr=2022-09-30, revisedDate=1667577600000, revisedDateStr=2022-11-05, acceptedDate=null, acceptedDateStr=null, onlineDate=1769562445025, onlineDateStr=2026-01-28, pubDate=1692892800000, pubDateStr=2023-08-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769562445025, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769562445025, creator=13701087609, updateTime=1769562445025, updator=13701087609, issue=Issue{id=1223196803663778281, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='8', pageStart='1', pageEnd='222', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769562443888, creator=13701087609, updateTime=1769563793740, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223202465391166440, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223196803663778281, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223202465391166441, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223196803663778281, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=85, endPage=89, ext={EN=ArticleExt(id=1223196808780825507, articleId=1223196808424309652, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Study of Waterlogging Simulation of University Campus Based on GIS-Mike Flood Coupling Model, columnId=1222925283431272938, journalTitle=Water Resources and Power, columnName=HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING, runingTitle=null, highlight=null, articleAbstract=

Aiming at the problem of campus waterlogging in Hefei City, this paper constructs a 1D-2D coupled model based on Mike Flood. Firstly, GIS was used to obtain the distribution information of the five types of land surface in the study area by analyzing satellite images, and to automatically divide the catchment areas. Secondly, combined with the measured elevations by using the RTK device, the 3 m×3 m high-precision DEM data of the study area were obtained. A 1D pipeline model and a 2D surface model in the study area were constructed using Mike Urban and Mike 21 respectively, and the two models were coupled on Mike Flood. At the same time, a flowmeter, a liquid level meter and a rain gauge were installed in the campus. The model was calibrated by two measured rainfall events according to R2 and ENSE. Finally, the Chicago rainfall pattern was used to design rainfall scenarios for the 5, 10, 30 and 50 years of recurrence periods, and the severity, inundation range and inundation depth of nodes and pipelines in different rainfall processes were simulated. The simulation results show that main causes for the waterlogging in the campus are due to unreasonable sub-catchment designs, which resulted in limited absorption of rain peak runoff and serious overload of the pipe network.

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针对合肥市某校园内涝问题,利用GIS解析卫星图像得到研究区五类下垫面分布信息,并进行汇水区的自动划分,再结合RTK设备实测高程点,得到了园区的3 m×3 m高精度DEM数据。进而分别采用Mike Urban和Mike 21构建了研究区内的一维管道模型及二维地表模型,并将两者在Mike Flood上进行了耦合。同时,在易涝区安装了流量计、液位计和雨量计,通过两场实测降雨对模型进行率定,并根据相关系数(R2)与Nash-Sutcliffe效率系数(ENSE)评判率定结果。最后,利用芝加哥雨型拟定了5、10、30、50年重现期的降雨情景,模拟得到不同降雨过程中节点与管道超负荷的严重程度、淹没范围与淹没深度。结果表明,该校园内涝主因是下垫面规划不合理,部分区域存在管线较长和集水范围过大问题,导致地面对雨峰径流吸收有限,管网超负荷情况严重,峰值雨水不能及时排出。

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郭帅(1984-),男,博士、副研究员、硕导,研究方向为城市内涝数值模拟技术等,E-mail:
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叶沛成(1998-),男,硕士研究生,研究方向为城市内涝模拟,E-mail:

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叶沛成(1998-),男,硕士研究生,研究方向为城市内涝模拟,E-mail:

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叶沛成(1998-),男,硕士研究生,研究方向为城市内涝模拟,E-mail:

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基于GIS-Mike Flood耦合模型的校园内涝模拟研究
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叶沛成 1 , 郭帅 1 , 陈传辉 2 , 胡腾宇 2 , 袁伟 3 , 曹广学 1 , 徐翘 1
水电能源科学 | 水情测报与优化调度 2023,41(8): 85-89
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水电能源科学 | 水情测报与优化调度 2023, 41(8): 85-89
基于GIS-Mike Flood耦合模型的校园内涝模拟研究
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叶沛成1 , 郭帅1 , 陈传辉2, 胡腾宇2, 袁伟3, 曹广学1, 徐翘1
作者信息
  • 1.合肥工业大学土木与水利工程学院,安徽 合肥 230009
  • 2.中国电建集团华东勘测设计研究院有限公司,浙江 杭州 310014
  • 3.合肥测绘设计研究院,安徽 合肥 230001
  • 叶沛成(1998-),男,硕士研究生,研究方向为城市内涝模拟,E-mail:

通讯作者:

郭帅(1984-),男,博士、副研究员、硕导,研究方向为城市内涝数值模拟技术等,E-mail:
Study of Waterlogging Simulation of University Campus Based on GIS-Mike Flood Coupling Model
Pei-cheng YE1 , Shuai GUO1 , Chuan-hui CHEN2, Teng-yu HU2, Wei YUAN3, Guang-xue CAO1, Qiao XU1
Affiliations
  • 1.College of Civil Engineering, Hefei University of Technology, Hefei 230009, China
  • 2.PowerChina Huadong Engineering Corporation Limited, Hangzhou 310014, China
  • 3.Hefei Surveying and Mapping Design Institute, Hefei 230001, China
出版时间: 2023-08-25 doi: 10.20040/j.cnki.1000-7709.2023.20222046
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针对合肥市某校园内涝问题,利用GIS解析卫星图像得到研究区五类下垫面分布信息,并进行汇水区的自动划分,再结合RTK设备实测高程点,得到了园区的3 m×3 m高精度DEM数据。进而分别采用Mike Urban和Mike 21构建了研究区内的一维管道模型及二维地表模型,并将两者在Mike Flood上进行了耦合。同时,在易涝区安装了流量计、液位计和雨量计,通过两场实测降雨对模型进行率定,并根据相关系数(R2)与Nash-Sutcliffe效率系数(ENSE)评判率定结果。最后,利用芝加哥雨型拟定了5、10、30、50年重现期的降雨情景,模拟得到不同降雨过程中节点与管道超负荷的严重程度、淹没范围与淹没深度。结果表明,该校园内涝主因是下垫面规划不合理,部分区域存在管线较长和集水范围过大问题,导致地面对雨峰径流吸收有限,管网超负荷情况严重,峰值雨水不能及时排出。

城市内涝  /  Mike Flood  /  管网  /  淹没范围  /  淹没水深

Aiming at the problem of campus waterlogging in Hefei City, this paper constructs a 1D-2D coupled model based on Mike Flood. Firstly, GIS was used to obtain the distribution information of the five types of land surface in the study area by analyzing satellite images, and to automatically divide the catchment areas. Secondly, combined with the measured elevations by using the RTK device, the 3 m×3 m high-precision DEM data of the study area were obtained. A 1D pipeline model and a 2D surface model in the study area were constructed using Mike Urban and Mike 21 respectively, and the two models were coupled on Mike Flood. At the same time, a flowmeter, a liquid level meter and a rain gauge were installed in the campus. The model was calibrated by two measured rainfall events according to R2 and ENSE. Finally, the Chicago rainfall pattern was used to design rainfall scenarios for the 5, 10, 30 and 50 years of recurrence periods, and the severity, inundation range and inundation depth of nodes and pipelines in different rainfall processes were simulated. The simulation results show that main causes for the waterlogging in the campus are due to unreasonable sub-catchment designs, which resulted in limited absorption of rain peak runoff and serious overload of the pipe network.

urban waterlogging  /  Mike Flood  /  pipe network  /  flood range  /  inundation depth
叶沛成, 郭帅, 陈传辉, 胡腾宇, 袁伟, 曹广学, 徐翘. 基于GIS-Mike Flood耦合模型的校园内涝模拟研究. 水电能源科学, 2023 , 41 (8) : 85 -89 . DOI: 10.20040/j.cnki.1000-7709.2023.20222046
Pei-cheng YE, Shuai GUO, Chuan-hui CHEN, Teng-yu HU, Wei YUAN, Guang-xue CAO, Qiao XU. Study of Waterlogging Simulation of University Campus Based on GIS-Mike Flood Coupling Model[J]. Water Resources and Power, 2023 , 41 (8) : 85 -89 . DOI: 10.20040/j.cnki.1000-7709.2023.20222046
  • 安徽省重点研发计划(202104i07020012)
2023年第41卷第8期
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doi: 10.20040/j.cnki.1000-7709.2023.20222046
  • 接收时间:2022-09-30
  • 首发时间:2026-01-28
  • 出版时间:2023-08-25
补充材料
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出版历史
  • 收稿日期:2022-09-30
  • 修回日期:2022-11-05
基金
安徽省重点研发计划(202104i07020012)
作者信息
    1.合肥工业大学土木与水利工程学院,安徽 合肥 230009
    2.中国电建集团华东勘测设计研究院有限公司,浙江 杭州 310014
    3.合肥测绘设计研究院,安徽 合肥 230001

通讯作者:

郭帅(1984-),男,博士、副研究员、硕导,研究方向为城市内涝数值模拟技术等,E-mail:
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https://castjournals.cast.org.cn/joweb/sdnykx/CN/10.20040/j.cnki.1000-7709.2023.20222046
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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