巴基斯坦旁遮普省南部地下水砷浓度升高的空间分析

Anum Iftikhar, Shi Hongbo, Maqsood Ahmad, N. Ali, Saddam Hussain
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引用次数: 0

摘要

大量抽水和地下水回灌不足增加了砷的浓度;从而使其对人体健康有害。本研究探讨了巴基斯坦旁遮普省南部干旱和人口稠密地区的地下水水质指标,该地区经历了广泛的灌溉和饮用目的。收集了该地区三个主要城市木尔坦、穆扎法加尔和哈内瓦尔550个地点的空间数据,以观察巴基斯坦环境保护局和世界卫生组织制定的8项众所周知的水质指标。首先,我们计算了这些指标之间的两两相关系数,然后利用因子分析计算了这些数据的污染负荷。拟合了几个回归模型,并根据变量对的决定系数对所建立的方程进行了评价。因子分析显示3组指标具有化学相关性,与回归分析一致。在水样中,27%的砷含量超标,违反了pepa和WHO的标准。最后,我们对这些指标进行了空间映射,以预测未监测的地点,这将使利益相关者和决策者能够根据这些地区社区健康的最佳利益做出决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial Analysis of the Increased Arsenic Concentration in Groundwater of Southern Punjab, Pakistan
Extensive pumping and less recharge of groundwater increase concentration of Arsenicin it; thus, make it injurious for human health. This study explores the water quality indicators of groundwater of the arid and populous areas of Southern Punjab – Pakistan, which experiences extensive pumping for irrigation and drinking purposes. Spatial data of 550 locations from the three major cities of this area namely Multan, Muzaffargarh, and Khanewal were collected to observe the 8 well known water quality indicators set by Pakistan Environmental Protection Agency (PEPA) and World Health Organization (WHO). Firstly, we computed pairwise correlation coefficients among these indicators and later on contamination load for this data was also calculated by using factor analysis. Several regression models were fitted and the established equations were evaluated based on their coefficient of determination for pairs of variables. Factor analysis suggested 3 groups of indicators that were chemically correlated and showed concurrence with regression analysis. Among the water samples, 27% showed undesired Arsenic concentration that violated thePEPA and WHO standards. Lastly, we spatially mapped these indicators to predict the unmonitored locations which will enable stakeholders and policymakers to take decisions in the best interest of the health of community living in these areas.
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