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干旱区地理 ›› 2013, Vol. 36 ›› Issue (6): 1111-1124.

• 地球信息科学 • 上一篇    下一篇

证据权模型在泥石流灾害易发性评价中的应用

焦方谦1,2,赵新生1,2,陈川1,2   

  1. (1    新疆大学地质与矿业工程学院, 新疆    乌鲁木齐    830047;2    新疆中亚造山带大陆动力学与成矿预测重点实验室, 新疆    乌鲁木齐    830047)
  • 收稿日期:2012-12-27 修回日期:2013-03-10 出版日期:2013-11-25
  • 通讯作者: 陈川(1972-),男,新疆人,副教授,新疆大学硕士生导师,从事GIS信息集成与找矿方面研究. Email:chenchuan@sina.cn
  • 作者简介:焦方谦(1987-),男,山东人,新疆大学地质与矿业工程学院在读硕士研究生,矿产普查与勘探专业. Email:jiaofangqian@126.com
  • 基金资助:

    国家“十二·五”科技支撑计划项目“新疆重要成矿带战略性矿产资源预测与靶区评价”(2011BAB06B08);国家重点基础研究发展计划项目(2007CB411308)

Debris flow hazard susceptibility evaluation application with Weighted Evidences Model

JIAO  Fang-qian1,2,ZHAO  Xin-sheng1,2,CHEN  Chuan1,2   

  1. (1   College Geology and Mining Engineering, Xinjiang University, Urumqi  830047, Xinjiang, China;   2   Xinjiang Key Laboratory for Geodynamic Processes and Metalloginic Prognosis of the Central Asian Orogenic Belt, Urumqi  830047, Xinjiang, China)
  • Received:2012-12-27 Revised:2013-03-10 Online:2013-11-25

摘要: 利用空间统计方法进行泥石流易发性定量评价的本质是度量影响因子(地形、地貌、岩性等)和响应因子(泥石流)之间的空间关系,最后给出所有影响因子综合作用结果,得到泥石流易发性评价结果。选取高程、坡度、坡向、地形起伏度、岩性、降雨量与水系距离7个因素作为泥石流影响因子,采用证据权模型,对研究区内泥石流进行灾害易发性评价,使用自然间断法将研究区内泥石流易发程度分级,得到研究区泥石流易发后概率图,获得了较高的置信度,方法简单易行,可以在其它灾害易发性评价中推广。

关键词: 空间统计, 泥石流, 证据权, 易发性评价

Abstract: Xinjiang is China’s debris flow prone and heavy disaster area,debris flow’s harmfulness and destructiveness is very serious. The nature to use spatial statistical method for debris flow quantitative susceptibility evaluation is to measure the spatial relationship between impacting factors(altitude,rainfall) and the response factors(debris flow),finally giving the results of all influencing factors’ combined effects and getting the results of debris flow susceptibility evaluation. It contains two processes,the first step is to carry on the single factor analysis,which is to calculate the spatial correlation degrees between each impact factor and response factor, respectively;Based on the results of the first process,the second step is to choose the impact factors that have close spatial relationships with response factors to make comprehensive evaluation. At this time,the multiple synthesis of impact factors is often required to get the final evaluation results. Synthesis or complex often adopts some data integration model. This paper uses Weighted Evidences Model to evaluate the debris flow disaster susceptibility of the Tianshan Mountains and their foothills,selects altitude,slope,aspect,ground undulation,lithology,rainfall and water system distance as 7 impact factors of debris flow. The terrain data is mainly composed by DEM data,DEM data obtaines slope,aspect,ground undulation by spatial analysis tools in the ArcGIS platform. Lithology data is collected from Bureau of Xinjiang Geology and Mineral Resources Development. Rainfall data is collected from the Xinjiang meteorological observation points. Water system distance data is the basic geographic data. The Weighted Evidences Model obtains the weighted values of evaluation indices by overlay analysing the evidence factor layers and debris flow distribution layers,objectively reflects the size of the influence of the evaluation index on the debris flow’s dangerous degrees,weighting method is relatively clear and intuitive. It makes the conclusions that the main influencing factors of the study area’s debris flow are altitude,slope,ground undulation and water system distance,the secondary influence factors is lithology,rainfall is not involved in the evaluation of the secondary influence factor,non-influential factor is aspect. With the aid of ArcGIS platform,this paper classifies the susceptible degrees of study area’s debris flow using natural discontinuity method and gets the study area’s debris flow prone probability graph,obtaines higher confidence degrees. The method is simple and easy with high reliability. In the final interpretation,an important aspect is to recognize the existence of uncertainty and to quantify the uncertainty. The reasons causing uncertainty mainly come from two aspects, variance in the weight calculation existing and the data in the predictive factors graph covering incompletely. The check of the uncertainty can be carried out through the variance calculation respective or combined.  Using Weighted Evidences Model to evaluate debris flow proneness can also be generalized,we can evaluate the debris flow susceptibility of Xinjiang or China,and even the global area. It also can be generalized and applied in the susceptibility evaluation of other natural disasters such as landslide. This is the first application of Weighted Evidences Model and spatial analysis in Xinjiang’s natural disaster prone. Weighted Evidences Model is one of classical statistical methods,other statistical models can also be used to evaluate the susceptibility of natural disasters,such as the simple Weighted Superposition Model,Fuzzy Logic Model,Regression and Neural Network Model.

Key words: spatial statistic, debris flow, Weighted Evidences Model, susceptibility evaluation

中图分类号: 

  • P426.616