Faculty of Civil Engineering, Institute of Technology, Shri Ramswaroop Memorial University, Barabanki, UP, 225003, India.
Environ Monit Assess. 2022 Oct 11;194(12):865. doi: 10.1007/s10661-022-10442-9.
In the present study, the water quality status of the Sadar block in Pratapgarh district of Uttar Pradesh, India, was calculated by Water Pollution Index (WPI) using 15 groundwater quality parameters (pH, turbidity, EC (electric conductivity), TDS (total dissolved solids), salinity, total hardness, Ca, K, Mg, Na, Cl, F, SO, HCO, and NO) at 40 different study locations. It is found that 10%, 25%, and 65%, of samples, fall under the good, moderately polluted, and highly polluted category, respectively. Irrigation suitability of groundwater has also been evaluated by using irrigation suitability parameters, i.e., Sodium Absorption Ratio (SAR), Residual Sodium Carbonate (RSC), Permeability Index (PI), Kelly Ratio (KR), Percentage Sodium (% Na), and Magnesium Hazards (MH). Based on the analysis, it was determined that most of the samples were suitable for irrigation in the area. Irrigation practices are found to be unsuitable for Kelly's ratio of 37.5%, MH 60%, and RSC 55% samples. WPI and Pearson's correlation matrix (PCA) have suggested a significant linear relationship among the water quality parameters based on the test results. The Gibbs plot indicates that the majority of samples fall under the "evaporation dominance" category while the rest fall under the "rock weathering dominance" suggesting that the complex geochemical mechanisms are active in the study area. This study would be very helpful to government authorities and it would aid them to suggest alternate drinking water resources in affected areas.
本研究使用 15 项地下水质量参数（pH 值、浊度、电导率、总溶解固体、盐度、总硬度、钙、钾、镁、钠、氯、氟、硫酸根、碳酸氢根和硝酸盐），对印度北方邦普拉塔普加尔地区萨达尔区的地下水水质状况进行了计算，采用水污染指数（WPI）进行评估。结果发现，分别有 10%、25%和 65%的样本属于良好、中度污染和高度污染类别。此外，还利用灌溉适宜性参数（钠吸收比 SAR、剩余碳酸钠 RSC、渗透率指数 PI、凯利比 KR、钠离子百分比% Na 和镁危害 MH）评估了地下水的灌溉适宜性。分析结果表明，该地区大多数样本均适宜灌溉。在凯利比为 37.5%、镁危害 60%和 RSC 为 55%的样本中，灌溉实践被认为是不适合的。WPI 和皮尔逊相关矩阵（PCA）根据测试结果表明，水质参数之间存在显著的线性关系。吉布斯图表明，大多数样本属于“蒸发主导”类别，其余样本则属于“岩石风化主导”类别，这表明在研究区域中存在复杂的地球化学机制。本研究将为政府当局提供重要的参考依据，有助于他们在受影响地区寻找替代饮用水资源。
