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针对滑坡灾害易发性难以定量评价的问题,提出了以汇水域为基本统计单元,层次分析法与信息量法相结合的滑坡易发性评价模型。该模型是在综合分析已有监测数据的基础上,建立了坡度、黄土分布、土地表覆被、水系、断层、高程、地表粗糙度、坡向等8类要素与滑坡稳定性的相关性,根据评价结果将滑坡易发性划分为5个不同的等级。基于新疆新源县滑坡易发性评价的实验结果表明,该模型评价结果与滑坡实际分布情况相符,能够准确对不同汇水域灾害易发性进行分级评价,可以为相关部门进行防灾、预警提供一定的数据支持。提出了一种主观判断与客观分析相结合的方法,回答了“什么地方最容易发生地质灾害”的问题。
In view of the difficulty of quantitative evaluation of landslide susceptibility, a landslide susceptibility evaluation model combining catchment waters as basic statistical unit, AHP and information method is proposed. Based on the comprehensive analysis of the existing monitoring data, the model establishes the correlation between the slope and loess distribution, the cover of the earth’s surface, the water system, the fault, the elevation, the surface roughness and the slope direction and the stability of the landslide. Based on the evaluation results, landslide susceptibility was divided into five different grades. Based on the evaluation of the landslide susceptibility in Xinyuan County, Xinjiang, the results show that the model evaluation results are consistent with the actual distribution of landslides, and can accurately assess the vulnerability of different catchment disasters, and can provide disaster prevention and early warning for relevant departments Certain data support. Proposed a combination of subjective judgments and objective analysis, answering the question of “where is the most prone to geological disasters”.