ZHU Ya-wen,XIAO Tian-gui,FANG Yu-jie.A Risk Assessment Model of Rainstorm Disasters in Sichuan Province based on Extension Theory[J].Journal of Chengdu University of Information Technology,2016,(05):500-507.
基于可拓理论的四川暴雨灾害风险评估模型
- Title:
- A Risk Assessment Model of Rainstorm Disasters in Sichuan Province based on Extension Theory
- 文章编号:
- 2096-1618(2016)05-0500-08
- Keywords:
- meteorology; disaster prevention and mitigation; rainstorm; risk assessment; extension theory; Sichuan
- 分类号:
- P426.616
- 文献标志码:
- A
- 摘要:
- 为建立四川暴雨灾害风险评估模型,减少灾害的发生,利用1961～2013年四川省暴雨灾害历史资料、高程及 2013年四川省统计年鉴资料,基于可拓理论等提出四川省暴雨灾害风险等级评估模型。在建立模型的过程中将四川 暴雨灾害风险划分5个等级,并得出暴雨强度、暴雨频次、地形、坡度、人口密度、地均GDP、耕地比例、人均GDP 、公路里程数9个评估元素的四川暴雨灾害风险评估参数分级标准。综合关联函数以及层次分析法计算出评估因子 的权重系数,分别得到每个等级的综合关联函数,将其计算比较得到单站点暴雨灾害风险等级,建立了
- Abstract:
- Abstract:In order to establish the risk assessment model of the rainstorm disaster in Sichuan and reduce the occurrence of disaster, a rainstorm disaster risk assessment model of Sichuan province is established by extension theory based on of rainstorm disaster data and Sichuan Statistical Yearbook 2013 and SRTM DEM which is provided by International Scientific & Technical Data Mirror Site, Computer Network Information Center, Chinese Academy of Sciences. Sichuan rainstorm disaster risk is into five levels. Grading standard of 9 rainstorm disaster risk assessment parameters in Sichuan province is established, including Storm intensity, storm frequency, topography, slope, population density, GDP per area forecast, the proportion of arable land, GDP per capita, road mileage. According weight and correlation function, the comprehensive correlation function of each level is obtained. Comparing the weight coefficient of each grade, the biggest one is the site of the storm disaster risk level.A new risk assessment model of rainstorm disasters is established. It shows that the occurrence of rainstorm disaster in Sichuan is the result of many factors, which should be improved in many ways to prevent the occurrence of disasters.
参考文献/References:
[1] 樊运晓,罗云.物元理论在区域减灾中的应用[J].自然灾害学报,2000,(4):121-125.
[2] 陈永仁,李跃清.“12.7.22”四川暴雨的MCS特征及对短时强降雨的影响[J].气象,2013,(7):848-860.
[3] 郑国,薛建军,范广洲,等.暴雨灾害评估方法研究进展[J].安徽农业科学,2011,(3):1419-1420,1426.
[4] 刘伟东,扈海波,程丛兰,等.灰色关联度方法在大风和暴雨灾害损失评估中的应用[J].气象科技,2007,
(4):563-566.
[5] 吴哲红,陈贞宏,叶帮,等.基于灰色关联度的暴雨事件灾害评估和预评估方法[J].贵州气象,2011,(6):6
-9.
[6] 王菜林,任学慧,李颖,等.基于PPD的辽宁省暴雨灾害风险分析[J].灾害学,2015,(1):217-221.
[7] 蒋新宇,范久波,张继权,等.基于GIS的松花江干流暴雨洪涝灾害风险评估[J].灾害学,2009,(3):51-56.
[8] 孟翠丽,匡昭敏,李莉,等.基于GIS的广西暴雨灾害风险实时评估技术研究[J].中国农学通
报,2013,26:184-189.
[9] 刘荆,蒋卫国,杜培军,等.基于相关分析的淮河流域暴雨灾害风险评估[J].中国矿业大学学报,2009,
(5):735-740.
[10] 杨志双,韩玉龙,张浩然.基于可拓理论的西南典型山区泥石流的危险性分级[J].河南理工大学学报:自
然科学版,2013,(1):35-39.
[11] 白利平,王业耀,龚斌,等.基于可拓理论的泥石流灾害预警预报系统开发:以北京市为例[J].现代地
质,2009,(1):157-163.
[12] 孙伟,高峰,刘少军,等.海南岛台风灾害损失的可拓评估方法及应用[J].热带作物学报,2010,(2):319-
324.
[13] 蔡文.可拓论及其应用[J].科学通报,2004,(7):673-682.
[14] 李琴,王国会,陈清华.可拓分类方法及其在流动单元分类中的应用[J].地球物理学进展,2007,
(6):1975-1979.
[15] 刘少军.基于多信息源的台风灾害实时评估系统研究[D].成都:成都理工大学,2011.
[16] 孙绍骋.灾害评估研究内容与方法探讨[J].地理科学进展,2001,(2):122-130.
[17] 陈艳秋,袁子鹏,盛永,等.辽宁暴雨事件影响的预评估和灾后速评估[J].气象科学,2007,(6):626-632.
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备注/Memo
收稿日期:2016-02-29 基金项目:中国气象局西南区域气象中心重大科研资助项目(西南区域 014-5); 国家自然科学基金重点基金资助项 目(91337215); 国家重点基础研究发展计划资助项目(2013CB733206); 四川省应用基础研究计划项目 (2013JY0063)