[1]李宗坤,张亚东,王　特,等.基于属性-集对耦合的山洪灾害风险后果评价[J].郑州大学学报(工学版),2026,47(01):18-24.[doi:10.13705/j.issn.1671-6833.2025.04.024]
　LI Zongkun,ZHANG Yadong,WANG Te,et al.Risk Consequence Evaluation of Flash Flood Disaster Based on Attribute-Set Pair Coupling[J].Journal of Zhengzhou University (Engineering Science),2026,47(01):18-24.[doi:10.13705/j.issn.1671-6833.2025.04.024]
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基于属性-集对耦合的山洪灾害风险后果评价()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
47
期数:
2026年01期
页码:
18-24
栏目:
出版日期:
2026-01-06

文章信息/Info

Title:
Risk Consequence Evaluation of Flash Flood Disaster Based on Attribute-Set Pair Coupling
文章编号:
1671-6833(2026)01-0018-07
作者:
李宗坤1;  张亚东1;  王　特2;  葛　巍1;  胡铁成3;  王　红4
1.郑州大学 水利与交通学院,河南 郑州 450001;2.华北水利水电大学 水利学院,河南 郑州 450046;3.郑州市水利建筑勘测设计院,河南 郑州 450006;4.青岛市水务管理局,山东 青岛 266071
Author(s):
LI Zongkun1;  ZHANG Yadong1;  WANG Te2;  GE Wei1;  HU Tiecheng3;  WANG Hong4
1.School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China; 2.School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China; 3.Zhengzhou Water Conservancy Construction Survey Design Institute, Zhengzhou 450006, China; 4.Qingdao Water Authority, Qingdao 266071, China
关键词:
山洪灾害;  属性区间识别;  集对分析;  风险后果评价
Keywords:
flash flood disaster;  attribute interval identification;  set pair analysis;  risk consequence evaluation
分类号:
TV87X915.5
DOI:
10.13705/j.issn.1671-6833.2025.04.024
文献标志码:
A
摘要:
针对山洪灾害时空分布的显著差异性以及评价过程中影响因素的不确定性易造成评价指标值失真以及风险指标信息缺失等问题,将评价指标划分为生命损失、经济损失、环境影响和社会影响,细分其等级标准并进行量化;采用变权理论对组合常权权重进行修正,利用属性测度综合评价向量对不确定性信息进行转化分析,结合属性集对联系数对灾害后果严重程度进行判别,构建了基于属性-集对耦合的山洪灾害风险后果评价模型。将所构建的模型应用于山西省古县20 a、50 a、100 a一遇暴雨情景的山洪灾害风险后果评价,结果表明:所提模型可有效量化不同重现期暴雨情景下的风险后果等级,与其他模型计算出的评价等级基本吻合,体现了所提方法较好的适用性。
Abstract:
In response to the significant differences in the spatiotemporal distribution of flash flood disasters and the uncertainty of influencing factors in the evaluation process, which can easily cause distortion of evaluation index values and loss of risk index information, evaluation indices were divided into loss of life, economic loss, environmental impact, and social impact. Their grading standards were subdivided, and quantified. The variable weight theory was used to modify the combination of constant weight, and the attribute measurement comprehensive evaluation vector was used to transform and analyze the uncertainty information. Combined with the attribute set pair coefficient, the severity of disaster consequences was judged, and a risk consequence evaluation model based on attribute-set pair coupling was constructed. The model was applied to the evaluation of flash flood disasters in the 20 a, 50 a and 100 a return rainstorm scenarios in Guxian County, Shanxi Province. The results showed that the model could effectively quantify the risk consequence grades under rainstorm scenarios with different return periods, which was basically consistent with the evaluation grades calculated by other models, demonstrating the good applicability of the proposed method.

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更新日期/Last Update: 2026-01-17