Mishra Akash, Lal Bindhu
Department of Civil and Environmental Engineering, Birla Institute of Technology Mesra, Ranchi, Jharkhand, 835215, India.
Environ Monit Assess. 2023 Mar 16;195(4):472. doi: 10.1007/s10661-023-11101-3.
Groundwater is the most abundant liquid freshwater on earth. Rapid urbanization in developing nations (like India) has led to increased groundwater withdrawal, adversely affecting the physicochemical characteristics. Ranchi district, Jharkhand, is a part of the smart city mission development plan of the government of India. Hence, to ensure safe and clean drinking water, it is necessary to assess groundwater quality and devise development plans. Seventeen physicochemical properties and metal(loid)s contents were analyzed to determine the groundwater quality. Various pollution indices such as water quality index (WQI), metal evaluation index (MI), heavy metal pollution index (HPI), and modified degree of contamination (mC) are evaluated using arithmetic weighted value index and presented in a map using Arc GIS inverse distance weighting interpolation method. Chemometric analyses such as correlation, principal component, and cluster analysis were done to identify the source and determine the pollution state. A multiple linear regression model is employed to predict the impact of heavy metal and metalloid concentration on the WQI of the region. WQI shows that groundwater quality in Khelari (100.95) and Bundu (92.52) regions are highly degraded, whereas MI and HPI suggest that Ormanjhi (MI = 53.98) and Rahe (HPI = 109.20) are highly affected by metal contamination. The mC suggests that Ormanjhi (97.15) has the highest degree of contamination. The contaminant sources were natural (geogenic processes) and anthropogenic (mining and industrial emissions). The high metal(loid)s concentration may soon result in groundwater quality degradation in the metal-affected regions.
地下水是地球上最丰富的液态淡水。发展中国家(如印度)的快速城市化导致地下水开采量增加,对其物理化学特性产生了不利影响。贾坎德邦的兰契区是印度政府智慧城市使命发展计划的一部分。因此,为确保安全清洁的饮用水,有必要评估地下水质量并制定发展计划。分析了17种物理化学性质和金属(类金属)含量以确定地下水质量。使用算术加权值指数评估了各种污染指数,如水质量指数(WQI)、金属评价指数(MI)、重金属污染指数(HPI)和修正污染程度(mC),并使用Arc GIS反距离加权插值方法在地图上呈现。进行了相关分析、主成分分析和聚类分析等化学计量分析,以确定污染源并判断污染状况。采用多元线性回归模型预测重金属和类金属浓度对该地区水质量指数的影响。水质量指数显示,凯拉里(100.95)和本杜(92.52)地区的地下水质量严重退化,而金属评价指数和重金属污染指数表明,奥尔曼吉(MI = 53.98)和拉赫(HPI = 109.20)受金属污染影响严重。修正污染程度表明,奥尔曼吉(97.15)的污染程度最高。污染物来源为自然(地质成因过程)和人为(采矿和工业排放)。高金属(类金属)浓度可能很快导致受金属影响地区的地下水质量退化。