中文摘要：

为了定量化分析采矿扰动与地质灾害的相关性程度,以六盘水市为例,采用Arcgis 10.2空间分析中的核密度估计与空间相关性分析,对六盘水市矿点核密度与6大地质灾害之间的关系进行定量分析,结果表明：（1）六盘水市采煤活动与地质灾害的发育存在较大的正相关性,其中与地裂缝相关性最大,未考虑地裂缝规模的相关系数为0.674,考虑地裂缝规模的相关系数为0.683;采煤活动对山地灾害的发育促进作用较大,未考虑山地灾害规模的相关系数为0.427,考虑山地灾害规模的相关系数为0.380。（2）贵州省喀斯特溶蚀地区地面塌陷主导诱发因素为地下水过度开采的人为因素,区域内地面塌陷与采煤活动之间相关性很小,以六盘水市为例,平均相关系数仅为0.009 7。（3）基于核密度估算的空间相关分析方法在定量化采矿扰动与地质灾害关系方面具有较好的效果。

英文摘要：

In order to quantify the correlation between geological calamities and mining disturbance, the paper, taking Liupanshui City as a case, applied kernel density analysis and spatial correlation analysis of Arcgis 10 2 to quantitative analysis of the relations of six major geological calamities with kernel density of the mining activities in the region. Resultsshow： （1） the development of geological hazards is quite positively related to the mining activities in Liupanshui City, especially, the development of ground fissures, of which the correlation coefficient is 0 674 without considering scale of thefissure, and 0 683 with scale of the fissure taken into account, and coal mining activities play a quite big role in promotingdevelopment of mountain hazards with correlation coefficient being 0 427 without considering scale of the mountain hazard,and 0 380 with scale of the hazard taken into account; （2）excessive exploitation of groundwater is the major artificial factor triggering surface collapse, and mining activities are not very much blamed, with the mean correlation coefficient beingonly 0 009 7; and （3） the spatial correlation analysis based on kernel density estimation functions well in quantifying therelationships between mining disturbances and geological calamities.