Abstract：
Karst groundwater, which is one of most important drinking water sources, is vulnerable to be polluted as its closed hydraulic relation with surface water. Thus, it is very important to identify the groundwater source to control groundwater pollution. The Pearson correlation coefficient among major ions (Na + K+, Ca2+, Mg2+, HCO3 -, SO4 2-, and Cl-) was employed to deduce the groundwater types in Zhong Liang Mountain, Southwest China. Then, the combined method of principal component analysis and cluster analysis were employed to identify the groundwater sources in a typical karst region of southwest China. The results shown that (1) the high positive correlation between cations and anions indicated the water-rock reaction of Ca-HCO3, Ca-SO4, (Na + K)-Cl, and Mg-SO4. (2) The major two principal components that would represent water-rock reaction of CaSO4 and Ca-HCO3 would, respectively, explain 60.41% and 31.80% of groundwater information. (3) Based on the two principal components, 33 groundwater samples were clustered into eight groups through hierarchical clustering, each group has similar water-rock reaction. The findings would be employed to forecast the surge water, that was an important work for tunnel construction and operation. PRACTITIONER POINTS: The components of groundwater was highly correlated with water-rock reaction. The principal component analysis screens the types of groundwater. The cluster analysis identifies the groundwater sources.
摘要：
岩溶地下水,它是最重要的饮用水源之一，由于其与地表水的封闭水力关系，因此容易受到污染。因此，识别地下水源对控制地下水污染非常重要。主要离子之间的皮尔逊相关系数(Na+K+，Ca2+,Mg2+,HCO3-，SO42-,和Cl-）用于推导中梁山的地下水类型，中国西南地区。然后，采用主成分分析和聚类分析相结合的方法对中国西南典型岩溶地区的地下水源进行了识别。结果表明：（1）阳离子和阴离子之间的高度正相关表明Ca-HCO3，Ca-SO4，（NaK）-Cl的水岩反应，和Mg-SO4。（2）代表CaSO4和Ca-HCO3水岩反应的主要两个主要成分将，分别,解释60.41%和31.80%的地下水信息。(3)基于两个主成分，通过层次聚类，将33个地下水样本分为8组，每组都有相似的水岩反应。研究结果将用于预测涌水，这是隧道建设和运营的重要工作。实践要点：地下水的成分与水岩反应高度相关。主成分分析筛选地下水的类型。聚类分析确定了地下水源。
