Article(id=1222963537559933395, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221973, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1663689600000, receivedDateStr=2022-09-21, revisedDate=1666022400000, revisedDateStr=2022-10-18, acceptedDate=null, acceptedDateStr=null, onlineDate=1769506828918, onlineDateStr=2026-01-27, pubDate=1682352000000, pubDateStr=2023-04-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769506828918, onlineIssueDateStr=2026-01-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769506828918, creator=13701087609, updateTime=1769506828918, updator=13701087609, issue=Issue{id=1222963536863678929, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='4', pageStart='1', pageEnd='220', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769506828752, creator=13701087609, updateTime=1769508076664, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1222968771057279321, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1222968771057279322, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=88, endPage=91, ext={EN=ArticleExt(id=1222963537819980247, articleId=1222963537559933395, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Vulnerability Assessment of Heavy Rainfall and Waterlogging in Subway Stations Based on IOWA-VAC, columnId=1222925283431272938, journalTitle=Water Resources and Power, columnName=HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING, runingTitle=null, highlight=null, articleAbstract=

In order to scientifically evaluate vulnerability of heavy rainfall and waterlogging in subway Stations, determine the sensitivity index as well as improve the management level of the heavy rainfall and waterlogging in subway stations, an evaluation method based on IOWA-VAC was proposed. Firstly, an evaluation index system was constructed based on Pressure-State-Response (PSR) theory. Then, the index data was reordered in ascending order by using the IOWA operator, and the final weight of the new data was obtained by introducing coefficients θ to dynamically adjust the interval boundary weights. The Vector Angle Cosine (VAC) was introduced to test the closeness of the consistency between the target score vector to be evaluated and the ideal target vector, so as to realize the transformation from algebraic thinking to spatial geometry thinking, and the target grade to be evaluated was obtained. Single factor sensitivity analysis was used to determine the sensitivity index. The practicability of the evaluation model was verified by taking the Yansi station of Zhengzhou Metro Line 5 construction projects as examples. The results show that the vulnerability level of the Yansi station of Zhengzhou Metro Line 5 is Ⅳ, with high risk. Thus, it provides feasible suggestion for vulnerability management of heavy rainfall and waterlogging in subway stations.

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为科学评价地铁车站暴雨内涝脆弱性,确定地铁车站暴雨内涝脆弱性的敏感性指标,提高地铁车站暴雨内涝管理水平,提出基于IOWA-VAC的地铁车站暴雨内涝脆弱性评价方法,该方法基于压力—状态—响应(PSR)理论构建地铁车站暴雨内涝脆弱性评价指标,利用IOWA算子按升序原则对指标数据重新排序,同时引入θ系数动态调整区间边界权值,得到指标权重,引入向量夹角余弦(VAC)检验待评价目标向量和理想目标向量一致性的贴近度,实现了代数思维向空间几何思维的转变,得到待评价目标等级。进而以郑州地铁5号线海滩寺站为例,运用单因素敏感性分析确定地铁车站暴雨内涝脆弱性的敏感性指标,评价了海滩寺站暴雨内涝脆弱性。结果表明,郑州地铁5号线海滩寺站暴雨内涝脆弱性等级为Ⅳ级,属于高度风险,为地铁车站暴雨内涝脆弱性管理提供了可行性建议。

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陈佳(1987-),女,硕士、讲师,研究方向为工程项目管理,E-mail:

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陈佳(1987-),女,硕士、讲师,研究方向为工程项目管理,E-mail:

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陈佳(1987-),女,硕士、讲师,研究方向为工程项目管理,E-mail:

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基于IOWA-VAC的地铁车站暴雨内涝脆弱性评价
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陈佳 1, 2 , 刘敬严 1, 2 , 邓曦 1, 2
水电能源科学 | 水情测报与优化调度 2023,41(4): 88-91
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水电能源科学 | 水情测报与优化调度 2023, 41(4): 88-91
基于IOWA-VAC的地铁车站暴雨内涝脆弱性评价
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陈佳1, 2 , 刘敬严1, 2, 邓曦1, 2
作者信息
  • 1.防灾科技学院土木工程学院,河北 三河 065201
  • 2.中国地震局建筑物破坏机理与防御重点实验室,河北 三河 065201
  • 陈佳(1987-),女,硕士、讲师,研究方向为工程项目管理,E-mail:

Vulnerability Assessment of Heavy Rainfall and Waterlogging in Subway Stations Based on IOWA-VAC
Jia CHEN1, 2 , Jing-yan LIU1, 2, Xi DENG1, 2
Affiliations
  • 1.Civil Engineering College, Institute of Disaster Prevention, Sanhe 065201, China
  • 2.Key Laboratory of Building Collapse Mechanism and Disaster Prevention, China Earthquake Administration, Sanhe 065201, China
出版时间: 2023-04-25 doi: 10.20040/j.cnki.1000-7709.2023.20221973
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为科学评价地铁车站暴雨内涝脆弱性,确定地铁车站暴雨内涝脆弱性的敏感性指标,提高地铁车站暴雨内涝管理水平,提出基于IOWA-VAC的地铁车站暴雨内涝脆弱性评价方法,该方法基于压力—状态—响应(PSR)理论构建地铁车站暴雨内涝脆弱性评价指标,利用IOWA算子按升序原则对指标数据重新排序,同时引入θ系数动态调整区间边界权值,得到指标权重,引入向量夹角余弦(VAC)检验待评价目标向量和理想目标向量一致性的贴近度,实现了代数思维向空间几何思维的转变,得到待评价目标等级。进而以郑州地铁5号线海滩寺站为例,运用单因素敏感性分析确定地铁车站暴雨内涝脆弱性的敏感性指标,评价了海滩寺站暴雨内涝脆弱性。结果表明,郑州地铁5号线海滩寺站暴雨内涝脆弱性等级为Ⅳ级,属于高度风险,为地铁车站暴雨内涝脆弱性管理提供了可行性建议。

地铁车站  /  暴雨  /  内涝  /  脆弱性评价  /  敏感性分析  /  IOWA  /  VAC

In order to scientifically evaluate vulnerability of heavy rainfall and waterlogging in subway Stations, determine the sensitivity index as well as improve the management level of the heavy rainfall and waterlogging in subway stations, an evaluation method based on IOWA-VAC was proposed. Firstly, an evaluation index system was constructed based on Pressure-State-Response (PSR) theory. Then, the index data was reordered in ascending order by using the IOWA operator, and the final weight of the new data was obtained by introducing coefficients θ to dynamically adjust the interval boundary weights. The Vector Angle Cosine (VAC) was introduced to test the closeness of the consistency between the target score vector to be evaluated and the ideal target vector, so as to realize the transformation from algebraic thinking to spatial geometry thinking, and the target grade to be evaluated was obtained. Single factor sensitivity analysis was used to determine the sensitivity index. The practicability of the evaluation model was verified by taking the Yansi station of Zhengzhou Metro Line 5 construction projects as examples. The results show that the vulnerability level of the Yansi station of Zhengzhou Metro Line 5 is Ⅳ, with high risk. Thus, it provides feasible suggestion for vulnerability management of heavy rainfall and waterlogging in subway stations.

subway station  /  heavy rainfall  /  waterlogging  /  vulnerability assessment  /  sensitivity analysis  /  induced ordered weighted average  /  vector angle cosine
陈佳, 刘敬严, 邓曦. 基于IOWA-VAC的地铁车站暴雨内涝脆弱性评价. 水电能源科学, 2023 , 41 (4) : 88 -91 . DOI: 10.20040/j.cnki.1000-7709.2023.20221973
Jia CHEN, Jing-yan LIU, Xi DENG. Vulnerability Assessment of Heavy Rainfall and Waterlogging in Subway Stations Based on IOWA-VAC[J]. Water Resources and Power, 2023 , 41 (4) : 88 -91 . DOI: 10.20040/j.cnki.1000-7709.2023.20221973
  • 中央高校基本科研业务费专项(ZY20140209; ZY20220206)
  • 国家社会科学基金项目(19BGL243)
  • 河北省科技厅软科学项目(22557618D)
2023年第41卷第4期
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文章信息
doi: 10.20040/j.cnki.1000-7709.2023.20221973
  • 接收时间:2022-09-21
  • 首发时间:2026-01-27
  • 出版时间:2023-04-25
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  • 收稿日期:2022-09-21
  • 修回日期:2022-10-18
基金
中央高校基本科研业务费专项(ZY20140209; ZY20220206)
国家社会科学基金项目(19BGL243)
河北省科技厅软科学项目(22557618D)
作者信息
    1.防灾科技学院土木工程学院,河北 三河 065201
    2.中国地震局建筑物破坏机理与防御重点实验室,河北 三河 065201
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2种不同金属材料的力学参数

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占总种数比例
Percentage of
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Genus
种数
Number of
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Percentage of total
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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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