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地球科学进展  2013, Vol. 28 Issue (4): 490-496    DOI: 10.11867/j.issn.1001-8166.2013.04.0490
研究论文     
沙尘暴灾害致灾因子三维联合分布与重现期探索
李宁1,2,3,顾孝天1,3,刘雪琴1,4
1.地表过程与资源生态国家重点实验室 北京师范大学,北京100875; 2.环境演变与自然灾害教育部重点实验室北京师范大学,北京100875;3.民政部/教育部减灾与应急管理研究院 北京师范大学,北京100875; 4.国家海洋环境监测中心,辽宁大连116023
Return Period Analysis Based on Joint Distribution of Three Hazards in Dust Strom Disaster
Li Ning1,2,3, Gu Xiaotian1,3, Liu Xueqin1,4
1.State Key Laboratory of Earth Surface Processes and Resources Ecology, Beijing Normal University, Beijing100875, China; 2. Key Laboratory of Environment Change and Natural Disaster of Ministry of Education, Beijing Normal University, Beijing100875, China; 3.Academy of Disaster Reduction and Emergency
 全文: PDF(1179 KB)  
摘要:

探讨多致灾因子对Copula联合分布模型在三维多致灾因子综合分析中的扩展。针对沙尘暴形成的3个基本条件:大风、丰富的沙尘源和不稳定的大气层结,以内蒙古镶黄旗1990—2008年的强沙尘暴灾害事件为案例,建立了经向环流指数、地面平均最大风速和地表土壤湿度3个基本特征变量的联合分布,计算了基于联合分布的联合重现期。研究表明,镶黄旗强沙尘暴事件的三维致灾因子符合Frank Copula函数构建条件,该函数能够很好地描述强沙尘暴灾害3个基本特征变量的联合分布,具备扩展到三维的能力。相对于二维Copula函数拟合效果,三维Frank Copula在中高尾部分的拟合有很大提高。三变量联合重现期的计算结果更加贴近实际情况。

关键词: Copula联合分布强沙尘暴灾害重现期内蒙古    
Abstract:
This article discussed the extension of Copula joint distribution model in 3D multiple hazards for disaster comprehensive analysis. Based on three basic conditions of formation of severe dust storms: wind speed, abundant sand source and unstable atmospheric stratification, it established Copula joint distribution by the three basic characteristics of meridional index, the daily average maximum wind speed and soil moisture  is established by taking dust storm events occurred in Xianghuanqi station in Inner Mongolia from 1990-2008 as a case. The return period under different encounter is calculated by the distribution.
The cases study indicates that the three-dimensional hazards of severe dust storm of Xianghuanqi well scalable ability to the construction conditions of the Frank Copula function. This function well described the joint distribution of the three variables of severe dust storms.By comparison with the return period bases on single variable and bivariable, the joint return periods with 3D variable are obtained with more realistic, and the 3D Frank Copula fits better occurrence probability on middle and high parts.
Key words: Copula    Joint distribution    Severe dust storm disaster    Return period    Inner Mongolia
收稿日期: 2012-10-18 出版日期: 2013-04-10
:  P425.5+5  
基金资助:

国家自然科学基金项目“基于多维联合分布理论的沙尘暴风险评估Copula模型研究”(编号:41171401);地表过程与资源生态国家重点实验室开放课题“灾害风险评估中多要素的相关结构与联合概率分析”(编号:2013KF-09)资助.

通讯作者: 李宁(1958-),女,江苏镇江人,教授,主要从事自然灾害风险评估和管理研究.      E-mail: ningli@bnu.edu.cn
作者简介: 李宁(1958-),女,江苏镇江人,教授,主要从事自然灾害风险评估和管理研究.E-mail:ningli@bnu.edu.cn
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李宁,顾孝天,刘雪琴. 沙尘暴灾害致灾因子三维联合分布与重现期探索[J]. 地球科学进展, 2013, 28(4): 490-496.

Li Ning, Gu Xiaotian, Liu Xueqin. Return Period Analysis Based on Joint Distribution of Three Hazards in Dust Strom Disaster. Advances in Earth Science, 2013, 28(4): 490-496.

链接本文:

http://www.adearth.ac.cn/CN/10.11867/j.issn.1001-8166.2013.04.0490        http://www.adearth.ac.cn/CN/Y2013/V28/I4/490

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