基于信息熵与AHP模型的小区域泥石流危险性评价方法  

Risk Assessment Method of Debris Flow in Residential Area Based on Information Entropy and AHP Model

作　　者：高立兵 苏军德 

机构地区：[1]甘肃有色冶金职业技术学院,甘肃金昌737100

出　　处：《水土保持研究》2017年第1期376-380,共5页Research of Soil and Water Conservation

基　　金：甘肃省科技计划资助"基于无线传感器网络的矿山井下定位系统的开发研究"(1304GKCC044);甘肃省高等学校科研项目"基于无线传感器网络的地质灾害预警系统的研究和开发"(2015B-198)

摘　　要：以白龙江流域为研究区域,在收集资料和野外勘察的基础上,选取地形地貌因子和地质因子作为泥石流危险性评价因子,并以栅格单元作为评价单元,对研究区内外动力环境因子进行了分析。在此基础上,基于信息熵与AHP模型分别建立了研究区泥石流危险性评价模型。结果表明:基于信息熵模型的泥石流危险等级分布与基于AHP模型的危险性等级分布呈现出整体上相似,局部地区有差异的规律,但基于信息熵模型的评价分区结果与泥石流实际分布情况更为吻合。在大区域范围内,基于信息熵模型的泥石流危险性评价分区具有良好的可塑性和实用性,在地质灾害预测方面具有重要的作用。We collected data and carried out field survey in Bailongjiang River Basin, and selected landform factors and geological factors as the debris flow risk assessment indicators, used the grid unit as the evaluation unit, and analyzed the study area power environmental factors. Based on information entropy and AHP model study area debris flow risk assessment model was established, respectively. The result showed that based on information entropy model of debris flow risk level and the level of risk based on AHP model distribution appeared similar on the whole, there were differences between the local patterns, but landslide distribution based on the evaluation of information entropy model partition is more consistent with the actual results. Thus, within the scope of the large area, the debris flow risk assessment partition based on information entropy model has good plasticity and practicability, and plays the important role in geological disaster prediction.

关 键 词：白龙江流域 泥石流 AHP 信息熵 危险性评价 

分 类 号：P642.23[天文地球—工程地质学]