Abstract:

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. Results show:(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 the fissure, and 0.683 with scale of the fissure taken into account, and coal mining activities play a quite big role in promoting development 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 being only 0.0097; and (3) the spatial correlation analysis based on kernel density estimation functions well in quantifying the relationships between mining disturbances and geological calamities.

Key words: spatial correlation analysis, geological calamity, coal mining disturbance, karst area