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边坡变形的安全与否直接关系到是否需要实施工程措施,如果出现误判,将会造成滑坡或者造成不必要的浪费;因此选用合理的判别方法非常重要。本文应用数理统计中的聚类分析方法,定量地确定样品的亲疏关系,从而客观地分型划类。首先依据地表监测点变形的序列特征对其进行聚类分析,定量分析各个监测点变形属性,然后依据变形属性区划出边坡变形的危险程度等级,从而确定边坡安全区域和滑坡危险区域,以便为滑坡防治和科学决策提供依据。
The safety of slope deformation is directly related to the need to implement engineering measures, if there is a miscarriage of justice, it will cause landslide or unnecessary waste; therefore, it is very important to choose a reasonable method of discrimination. In this paper, we use the method of cluster analysis in mathematical statistics to quantitatively determine the relationship between the samples and to classify them objectively. Firstly, according to the sequence features of surface monitoring points deformation, cluster analysis is conducted to quantitatively analyze the deformation properties of each monitoring point. Then the dangerous degree of slope deformation is delineated according to the deformation attributes to determine the slope safety area and the landslide danger area so that Provide basis for landslide prevention and scientific decision-making.