选取10种化学组分利用多元统计分析确定龙门峡南煤矿矿区范围内水化学过程，并进行了风井突水点水源识别。研究区内地下水属于HCO3-Ca型水。主成分分析选取三个特征根大于1的主成分进行分析表明，PC1表示方解石、白云石和石膏等矿物自然风化影响离子交换，PC2和PC3则分别表示区内水文过程、农业活动及蒸发作用的影响。研究表明，天然矿物的自然风化和离子交换是其中最重要的影响因素。根据Q型聚类分析将水样划分为4个集群（Group1-Group4），通过对枯、丰两个时期内水样进行对比，确定水样间的相似关系，判断风井涌水水样M1、M2与泉点水样S3具有极大的相似性。

Correlation and multivariate statistical techniques were used to identify the natural hydrogeochemical processes and ventilation adit water-bursting source in the study area,. In the study area, water samples were of HCO3-Ca type. Three principal components were extracted. PC1 represented the ion exchange and the weathering of calcite, dolomite, and silicate minerals. PC2 and PC3 indicated hydrological processes, agricultural activities, and the process of evaporation, respectively. The hydrochemistry of water in the area had multiple factors, and natural mineral weathering and ion exchange were the most important ones. Cluster analysis of water samples were divided into four groups of clusters (Group1-Group4), and the water samples during wet and dry periods were compared and the degree of similarity between water samples were determined. The ventilation adit water samples M1 and M2 had great similarity with spring sample S3.

地质灾害防治与地质环境保护国家重点实验室自主研究课题(SKLGP2009Z006)；四川省科技计划项目（2013HH0041）