基于信息熵与AHP模型的小区域泥石流危险性评价方法
发布时间：2019-08-24 16:44
【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。
[Abstract]:Taking the Bailong River basin as the research area, on the basis of data collection and field investigation, the topographic and geomorphological factors and the geological factors are selected as the risk assessment factors of the debris flow, and the grid unit is used as the evaluation unit, and the internal and external dynamic environmental factors of the study area are analyzed. On this basis, the risk assessment model of debris flow in the research area is established based on the information entropy and the AHP model. The results show that the risk level distribution of the debris flow based on the information entropy model is similar to that of the hazard level distribution based on the AHP model, and the local area has the law of difference, but the result of the evaluation partition based on the information entropy model is more consistent with the actual distribution of the debris flow. The risk assessment of debris flow based on the information entropy model has good plasticity and practicability in the large area, and plays an important role in the prediction of geological disasters.
【作者单位】： 甘肃有色冶金职业技术学院;
【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)
【分类号】：P642.23
本文编号：2529072
[Abstract]:Taking the Bailong River basin as the research area, on the basis of data collection and field investigation, the topographic and geomorphological factors and the geological factors are selected as the risk assessment factors of the debris flow, and the grid unit is used as the evaluation unit, and the internal and external dynamic environmental factors of the study area are analyzed. On this basis, the risk assessment model of debris flow in the research area is established based on the information entropy and the AHP model. The results show that the risk level distribution of the debris flow based on the information entropy model is similar to that of the hazard level distribution based on the AHP model, and the local area has the law of difference, but the result of the evaluation partition based on the information entropy model is more consistent with the actual distribution of the debris flow. The risk assessment of debris flow based on the information entropy model has good plasticity and practicability in the large area, and plays an important role in the prediction of geological disasters.
【作者单位】： 甘肃有色冶金职业技术学院;
【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)
【分类号】：P642.23
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1 邢钊;基于信息熵与AHP模型的白龙江流域泥石流危险性评价[D];兰州大学;2012年
，本文编号：2529072
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