中国农业气象 ›› 2018, Vol. 39 ›› Issue (08): 547-557.doi: 10.3969/j.issn.1000?6362.2018.08.007

• 论文 • 上一篇    

湖北暴雨洪涝灾害脆弱性评估的定量研究

温泉沛,周月华,霍治国,李兰,方思达,史瑞琴,车钦   

  1. 1.武汉区域气候中心,武汉 430074;2.中国气象科学研究院,北京 100081;3.南京信息工程大学气象灾害预报预警与评估协同创新中心,南京 210044;4.武汉中心气象台,武汉 430074
  • 出版日期:2018-08-20 发布日期:2018-08-13
  • 作者简介:温泉沛(1985-),女,硕士,主要从事气象灾害风险评估研究。E-mail:wenquanpei@foxmail.com
  • 基金资助:
    中国气象科学研究院科技发展基金(2018KJ012);国家重点基础研究发展计划项目(2013CB430206);公益性行业(气象)专项(GYHY201306056);“十二五”国家科技支撑计划(2012BAD20B02);湖北省气象局科技发展基金重点项目(2018Z06)

Quantitative Assessment on Vulnerability of Storm Flood Disasters in Hubei Province

WEN Quan-pei, ZHOU Yue-hua, HUO Zhi-guo, LI Lan, FANG Si-da, SHI Rui-qin, CHE Qin   

  1. 1.Wuhan Regional Climate Center, Wuhan 430074, China;2.Chinese Academy of Meteorological Sciences, Beijing 100081;3.Collaborative Innovation Center of Meteorological Disaster Forecast, Early-Warning and Assessment, Nanjing University of Information Science & Technology, Nanjing 210044;4.Wuhan Central Meteorological Observatory, Wuhan 430074
  • Online:2018-08-20 Published:2018-08-13

摘要: 基于湖北省76个气象站1961-2016年逐日降水资料、2004-2016年主汛期(6-8月)主要暴雨过程的灾情资料以及《降雨过程强度等级》行业标准,通过灰色关联法和曲线拟合法,针对强降水过程,构建湖北省暴雨洪涝灾害脆弱性曲线模型,其中2004-2015年数据用于模型的构建和回代检验,2016年数据用于模型的外延预评估,以期定量化评估强降水过程造成的暴雨洪涝灾害的影响。结果表明:以受灾面积比重、受灾人口比重、直接经济损失比重和表征灾情综合影响的综合相对灾情指数作为脆弱性定量化评估对象,构建的湖北省暴雨洪涝灾害脆弱性曲线模型,在外延预评估中,除直接经济损失比重的一致准确率为60%外,其它指标的一致准确率均在80%以上,等级预评估检验误差均在1个等级以内,模型评价效果较好。

关键词: 暴雨洪涝灾害, 脆弱性曲线, 湖北

Abstract: Quantitative assessment on the vulnerability of storm flood disasters in Hubei Province is of great significance to the development of flood control and disaster relief. In this study, aiming to the heavy rainfall process, daily precipitation data at 76 meteorological stations from 1961 to 2016 in Hubei Province, disaster records of the rainstorm process during the main flood season (from June to August) from 2004 to 2016 in Hubei Province, and the meteorological industry standard of China for the intensity grade of rainfall process were jointly used to build the vulnerability curve model of storm flood disasters in Hubei Province by using grey correlation and curve fitting methods. The disaster records from 2004 to 2015 were used to build the vulnerability model and do back-testing, and the rest data in 2016 were used to extensively evaluate the impacts of the rainstorm process on the storm flood disasters. The results showed that based on the vulnerability curve model, the accuracy rates of disaster level assessment for the proportion of the affected population, proportion of the affected area, proportion of the direct economic losses, and comprehensive relative disaster index were 80%, 100%, 60%, and 100%, respectively. All the errors of disaster level assessment for above four indices were equal to or less than one level, which showed that the vulnerability curve model built in this study was suitable for the quantitative assessment of storm flood disasters.

Key words: Storm flood disaster, Vulnerability curve, Hubei Province