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清华大学学报(自然科学版)  2022, Vol. 62 Issue (6): 1067-1073    DOI: 10.16511/j.cnki.qhdxxb.2022.22.024
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基于熵权灰色关联度分析的暴雨洪涝灾情评估方法
陈长坤, 孙凤琳
中南大学 防灾科学与安全技术研究所, 长沙 410075
Flood damage assessments based on entropy weight-grey relational analyses
CHEN Changkun, SUN Fenglin
Institute of Disaster Prevention Science and Safety Technology, Central South University, Changsha 410075, China
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摘要 洪涝灾害造成的危害广泛且复杂,合理的洪涝灾害灾情评估方法是制定有效防灾减灾措施的关键手段。根据《洪涝灾情评估标准》(SL579—2012),结合死亡人口、受灾人口、农作物受灾面积、直接经济损失、倒塌房屋、水利设施经济损失等关键影响因素,建立了洪涝灾害评价指标。综合灰色关联度分析法和熵权法,提出一种针对暴雨洪涝灾情的分级评估方法,并以2014—2018年的全国年度洪灾数据为例进行应用,结合评估结果和实际情况,提出了暴雨洪涝灾害防灾减灾工作的建议。结果表明:全国暴雨洪涝灾情熵权-灰色关联度数值高的区域集中在东南区域和西北区域,防洪防涝工作重点分别在城市防洪和沙漠防洪;2016年全国暴雨灾情熵权-灰色关联度分级属于较大洪涝灾害年。
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陈长坤
孙凤琳
关键词 暴雨洪涝灾情评价熵权法灰色关联分析防洪治理    
Abstract:Flooding can cause extensive damage. Accurate flood damage assessments are needed to formulate effective prevention and mitigation measures. A flood damage assessment index was established based on such factors from the Chinese Flood Damage Assessment Standard (SL579-2012) as the death toll, affected population, crop damage area, direct economic loss, house damage, and economic losses of water conservancy facilities. The grey relational analysis and entropy weight methods were used to develop a damage assessment method that assessed and classified rainstorm and flood damage in China using annual flood data from 2014 to 2018. The assessment results and actual evaluations were combined to develop ways to mitigate and prevent rainstorm and flood damage. The results show that national rainstorm disasters with high entropy weight-grey relational degrees have been concentrated in the southeast and northwest regions and that flood prevention and control should focus on urban and desert flood control. The national rainstorm disaster entropy weight-grey relational degree was highest in 2016 which saw many serious floods.
Key wordsrainstorm and flood    damage assessment    entropy weight method    grey relational analyses    flood prevention and control
收稿日期: 2021-12-31      出版日期: 2022-05-06
基金资助:湖南创新型省份建设专项经费资助(2020SK2004);国家自然科学基金重大项目(72091512,71790613)
作者简介: 陈长坤(1977-),男,教授。E-mail:cckchen@csu.edu.cn
引用本文:   
陈长坤, 孙凤琳. 基于熵权灰色关联度分析的暴雨洪涝灾情评估方法[J]. 清华大学学报(自然科学版), 2022, 62(6): 1067-1073.
CHEN Changkun, SUN Fenglin. Flood damage assessments based on entropy weight-grey relational analyses. Journal of Tsinghua University(Science and Technology), 2022, 62(6): 1067-1073.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2022.22.024  或          http://jst.tsinghuajournals.com/CN/Y2022/V62/I6/1067
  
  
  
  
  
  
  
  
  
  
  
  
  
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