›› 2011, Vol. 32 ›› Issue (3): 831-836.

• 岩土工程研究 • 上一篇    下一篇

金沙江流域泥石流的组合赋权法危险度评价

张 晨1,王 清1,陈剑平1,谷复光1, 2,张 文1   

  1. 1.吉林大学 建设工程学院;长春 130061;2. 吉林建筑工程学院 测勘工程学院,长春 130021
  • 收稿日期:2010-03-16 出版日期:2011-03-10 发布日期:2011-03-21
  • 通讯作者: 陈剑平,男,1957年生,博士,教授,博士生导师,主要从事环境工程地质、岩体力学等方面的教学与研究工作。 E-mail:chenjpwq@126.com
  • 作者简介:张晨,男,1983年生,博士研究生,主要从事地质灾害的调查研究工作。
  • 基金资助:

    国家自然科学基金项目(No. 40872170);吉林大学985工程项目(No. 450070021107);高校博士学科点专项基金(No. 20090061110054)。

Evaluation of debris flow risk in Jinsha River based on combined weight process

ZHANG Chen1,WANG Qing1,CHEN Jian-ping1,GU Fu- guang 1,2,ZHANG Wen1   

  1. 1. College of Construction Engineering, Jilin University, Changchun 130026, China; 2. School of Surveying and Prospecting Engineering, Jilin Architecture and Civil Engineering Institute, Changchun 130021, China
  • Received:2010-03-16 Online:2011-03-10 Published:2011-03-21

摘要:

针对目前地质灾害危险性评价中对指标权重确定方法的缺陷,使用改进的层次分析法和熵值法确定金沙江流域泥石流的各影响因素权重。在此基础上,提出一种新的组合赋权规则,使两类权重间的差异程度和分配系数间的差异程度相一致,从而排除人为因素及数据奇异点的影响,得到相对客观准确的结果。以金沙江的典型泥石流作为计算实例,对现场数据进行了提取之后,使用上述方法计算出影响因子的权重,将权重代入经典的危险性分析模型进行评估。计算结果与当地泥石流的实际情况和发展趋势相符合,从而证明了该方法的合理性。

关键词: 组合赋权法, 危险度评价, 分配系数

Abstract:

In view of the deficiencies of current ways to calculate weights of indexes when evaluating debris flow risk, modified analytic hierarchy process (AHP) and entropy method are used to calculate the weights of factors of debris flow in the Jinsha River. On this basis, a new combination rule is proposed to determine the weight which can exclude the interference of human factors and unstable data. The fundamental idea is to make the difference between weights same as the difference between distribution coefficients which determine the importance of different types of weights in the evaluation. This way can help us to get a relatively objective and accurate result. Typical debris flows in the Jinsha River are taken for example. After the acquisition of field data, the above-mentioned method is used to calculate the weights of factors. Then they are taken to classical risk analysis model which is totally accepted by the academia. The result coincides with the local conditions which improves the rationality of this method.

Key words: combined weight process, risk evaluation, distribution coefficients

中图分类号: 

  • TV144
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