极端天气; 洪涝; 灾害链; 快速评估; 半干旱区; 岷县," /> 极端天气; 洪涝; 灾害链; 快速评估; 半干旱区; 岷县,"/> extremely heavy rainfall,flash flood,disaster chain,rapid assessment,semiarid region,Minxian County,"/> 半干旱区极端强降雨灾害链损失快速评估方法——以甘肃岷县“5·10”特大山洪泥石流灾害为例

干旱区研究 ›› 2014, Vol. 31 ›› Issue (3): 440-445.

• 生态系统保护与修复 • 上一篇    下一篇

半干旱区极端强降雨灾害链损失快速评估方法——以甘肃岷县“5·10”特大山洪泥石流灾害为例

周洪建,王曦 ,袁艺,王丹丹   

  1. 民政部国家减灾中心,北京 100124
  • 收稿日期:2013-01-13 修回日期:2013-04-24 出版日期:2014-05-15 发布日期:2014-05-30
  • 作者简介:周洪建(1980- ),男,助理研究员,博士,主要从事灾害评估与风险防范研究.E-mail:zhouhj_bnu@hotmail.com
  • 基金资助:

    国家自然科学基金资助项目(41201553

Rapid-assessing Methods of Loss in Extremely Heavy Rainfall Disaster Chain in Semiarid Region — A Case Study on a Flash Flood Debris Flow in Minxian County, Gansu Province

ZHOU Hong-jian, WANG Xi,YUAN Yi, WANG Dan-dan   

  1. National Disaster Reduction Center of China, Ministry of Civil Affairs, Beijing 100124, China
  • Received:2013-01-13 Revised:2013-04-24 Online:2014-05-15 Published:2014-05-30

摘要: 通过对半干旱地区极端强降雨灾害链的研究,构建了基于流域单元、综合多源信息的极端强降雨灾害链损失快速评估方法。其中,流域评估单元的选择、遥感解译与灾害信息员实地调查的房屋易损性判定准则、综合损失的灾害链损失评估思路等是该方法的主要特点。甘肃岷县“5·10”特大山洪泥石流灾害房屋损失评估误差小于15%,基本满足应急救助决策的需要。建立多源数据条件下的洪涝灾害实物量毁损快速评估体系,可提升灾害应急救助效率。

关键词: font-size: 10.5pt, mso-bidi-font-family: 宋体, mso-font-kerning: 1.0pt, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, 极端天气; 洪涝; 灾害链; 快速评估; 半干旱区; 岷县')">mso-bidi-language: AR-SA">极端天气; 洪涝; 灾害链; 快速评估; 半干旱区; 岷县

Abstract: Less attention was paid to the extremely heavy rainfall disaster chain in semiarid regions in the previous researches. Under climate change, the frequency and intensity of extremely heavy rainfall in semiarid areas in China was in an obvious increase trend in recent decades. It is important to develop a methodology of rapid assessment of damage and loss (RADL) in an extremely heavy rainfall so as to enhance the capability of preventing the disasters in semiarid areas. In this paper, a method was developed to assess the damage and loss in an extremely heavy rainfall disaster chain, especially in flash flood and debris flow disaster chains based on multisource data and information, including the realtime precipitation, inundated area derived from remote sensing image interpretation results, social and economic information of the study area, etc. Three points should be emphasized in the framework of this method: ① The assessment unit of the RADL was the combination of watershed unit and GRID unit, in which the watershed unit included the secondlevel watersheds in the study area, and the spatial resolution of GRID unit was decided by the social and economic information (e.g. population density); ② The home vulnerability curve was an important factor to implement the RADL. In this paper, a home vulnerability matrix was established based on the realtime filed survey of disaster information collectors at village scale due to the lack of vulnerability curve at that time; ③ From the perspective of final damage and loss in the extremely heavy rainfall disaster chain (including flash flood and debris flow), the method was a comprehensive framework to implement the RADL. The study results could provide a scientific basis for the establishment of rapid assessment system of physical damage and loss induced by flood and debris flow disasters.

Key words: font-size: 10.5pt, mso-bidi-font-family: 宋体, mso-font-kerning: 1.0pt, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, extremely heavy rainfall')">mso-bidi-language: AR-SA" lang="EN-US">extremely heavy rainfall, flash flood, disaster chain, rapid assessment, semiarid region, Minxian County