Geomorphology
Shaoyun ZHANG, Zhongfa ZHOU, Kangning XIONG, Zhonghui TIAN, Quan CHEN, Lihui YAN, Yating XIE
Based on the hydrogeological and topographic map of Guizhou Province, ArcGIS was used to extract the information of nearly 5000 caves in the province, including the altitude, latitude and longitude, the strata, lithology, water system, and structure division. The nearest neighbor index, spatial analysis and coupling analysis methods were used to examine the distribution of 4960 caves in Guizhou Province. The relationship between cave spatial pattern and geographical elements was discussed. Through the point pattern analysis of the caves, it is found that the nearest neighbor index is 0.53, and the variation coefficient is 72.469% tested by Thiessen polygons, which is consistent with the model of aggregate distribution. Through the dot density function method, all the caves were divided into 4 clusters, namely, Zunyi-Tongren strong influence area, Bijie strong influence area, Liupanshui-Qianxinan strong influence area, and Guiyang-Anshun-Qiannan strong influence area, and one weak influence area (Qiandongnan weak influence area). Among them, Anshun-Qiannan-Guiyang strong influence area is the most important area, accounting for 36.63% of the total number of the caves, and 24.67% of the total area of the province. The caves in Guizhou are concentrated in the west and sparsely distributed in the east, shwoing clear "flake"-shaped pattern. Results indicated that the natural factors such as strata, lithology, structure, climate, hydrology, and elevation mainly affect the distribution, quantity, spatial pattern and development of the caves.