Debris flow susceptibility analysis based on theories of minimum entropy and uncertainty measurement

SHAN Bo; CHEN Jian-ping; WANG Qing

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Debris flow susceptibility analysis based on theories of minimum entropy and uncertainty measurement

更新时间：2026-06-25

- Debris flow susceptibility analysis based on theories of minimum entropy and uncertainty measurement
- Vol. 35, Issue 5, (2014)
- 作者机构：
  
  吉林大学建设工程学院,长春,130026
- 作者简介：
- 基金信息：
- DOI：
  CLC： TV144
- Online First：09 June 2014，
  
  Published：2014
- 稿件说明：
移动端阅览
SHAN Bo, CHEN Jian-ping, WANG Qing. Debris flow susceptibility analysis based on theories of minimum entropy and uncertainty measurement[J]. 2014, 35(5).
DOI：

SHAN Bo, CHEN Jian-ping, WANG Qing. Debris flow susceptibility analysis based on theories of minimum entropy and uncertainty measurement[J]. 2014, 35(5). DOI：

摘要

为了合理确定各影响因子权重，客观分析泥石流敏感性，基于最小熵分析原理和未确知测度理论建立泥石流敏感性分析模型。选取金沙江流域26条典型泥石流沟，确定9个主要影响因子，利用最小熵分析原理分析各因子对泥石流系统贡献率及权重，然后基于未确知测度理论计算各泥石流沟的多指标综合评价尺度向量，最后根据置信度识别准则确定各泥石流沟敏感度水平。将分析结果与已有成果进行对比可知，仅有7条泥石流沟敏感性结果有所差异。将评价结果与现场实际调查情况对比分析可知，22条泥石流沟的敏感度水平与泥石流实际发育情况相符，仅有4条沟评价结果偏于“保守”，因此，利用所提出的模型进行泥石流敏感度分析是十分有效的，并可对泥石流的防治提供合理的建议，可以在实际工程中推广应用。

Abstract

For the purpose of legitimately determining each major factor weight and objectively analyzing debris flow susceptibility

a model for analyzing debris flow susceptibility is established based on minimum entropy analysis and uncertainty measurement theory. Nine major factors of 26 typical debris flows along Jinsha River are selected. By utilizing the minimum entropy analysis

the contribution rate to debris flow system and weight of each major factor are obtained. And then

the multi-index comprehensive evaluation measure vector of each debris flow catchment is determined based on the uncertainty measurement theory. The final susceptibility degree is acquired by credible degree recognition criteria. By comparing the debris-flow susceptibility results with reference[11]

we find that only seven debris flow catchments are different. Comparing the susceptibility results with field observations

22 of 26 debris flow catchments agrees very well with real status of debris flow; and the susceptibilities of four debris flow catchments are conservative. Thus

the proposed model is shown to be quite effective in predicting debris flow susceptibility

which can be applied to actual engineering; and the analyzing results can provide rational suggestion for debris flow prevention.

关键词

Keywords

references

Views

2324

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Engineering vulnerability assessment for bridges and tunnels harmed by debris flow hazards

Experiment study of fractal feature and relationship between fractal dimension and permeability coefficient of gravelly soil in debris flow source area

Screening of debris flow risk factors and risk evaluation based on rank correlation

Study of rainfall threshold of debris flow forewarning in data lack areas

Optimal design of lining structure in artificial cavern of compressed air energy storage

Related Author

XU Lin-rong

CHEN Shu-yang

CAO Lu-lai

HE Na

CHEN Ning-sheng

ZHU Yun-hua

YANG Jian-yuan

YANG Cheng-lin

Related Institution

School of Civil Engineering, Central South University

East China Construction Engineering Corporation of Zhejiang

School of Civil Engineering，Henan Polytechnic University

University of Chinese Academy of Sciences

Key Laboratory of Mountain Hazards and Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences and Ministry of Water Resources

AI问答

⁰