Sub-surface water contamination has become a topic of main concern due to anthropogenic activities. MSTs were performed to appraise the seasonal and spatial variations in quality of sub-surface water and to trace the sources in NE Haryana. WQI was computed to analyse the quality of overall groundwater for domestic purposes during pre-and post-monsoon periods. The post-monsoon season water samples were found to be good for human consumption compared to pre-monsoon season. HCA, DA and PCA were performed to the quality of sub-surface water data computed on 14 elements from 30 locations geographically well-distributed across the area. Thirty sampling sites were classified into 02 clusters using HCA, group two having higher contamination than group one. The most significant elements accounting for spatial and seasonal variations in quality of sub-surface water of the study region was obtained by using DA. For the combined dataset of the pre-monsoon and post-monsoon seasons of 2017 the temporal and spatial DA identified pH, Na, Cl, TDS, Mg and F as the six most significant element, which distinguishes between water pre-eminence in the two seasons and accounts for 88.34% spatial and 100% seasonal assignation of cases. PCA was used to the data observed from the 02 groups, which obtained four varimax-factors in each group, accounting 77.54 and 84.77% of the total variance, respectively. Varimax factors evolved from PCA represented that quality of sub-surface water variation is possibly attributed by multiple geogenic, anthropogenic factors, ion exchange processes and rock-water interactions in groundwater.

中文翻译：

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使用多元统计技术分析东北哈里亚纳邦地下水质量

由于人为活动，地下水污染已成为主要关注的话题。执行 MST 以评估次地表水质量的季节性和空间变化，并追踪哈里亚纳邦东北部的水源。计算 WQI 是为了分析季风前和季风后整个生活用地下水的质量。与季风季前相比，季风季后的水样更适合人类食用。对来自该地区地理分布良好的 30 个地点的 14 个元素计算的地下水数据质量进行了 HCA、DA 和 PCA。使用 HCA 将 30 个采样点分为 02 组，第二组的污染程度高于第一组。使用 DA 获得了解释研究区域地下水质量空间和季节变化的最重要元素。对于 2017 年季风前和季风后季节的组合数据集，时空 DA 将 pH、Na、Cl、TDS、Mg 和 F 确定为六种最重要的元素，它区分了这两个地区的水优势季节并占案例的 88.34% 空间和 100% 季节性分配。PCA用于02组观察到的数据，得到每组4个最大方差因子，分别占总方差的77.54%和84.77%。由主成分分析演化而来的最大方差因子表示地下水质量变化可能由多种地质、人为因素引起，