Academy of Scientific & Innovative Research (AcSIR-NGRI), Hyderabad, Telangana, India; Earth Process Modeling Group, CSIR-National Geophysical Research Institute, Hyderabad, India.
National Institute of Technology (NIT), Garhwal, Uttarakhand, India.
Environ Pollut. 2020 Nov;266(Pt 3):115150. doi: 10.1016/j.envpol.2020.115150. Epub 2020 Jul 6.
Natural background levels (NBLs) and threshold values (TVs) are crucial parameters for identification and the quantification of groundwater pollution, and the evaluation of pollution control measures. The cumulative probability distribution technique was used for the evaluation of NBLs for 36 samples collected during two climate conditions in the part of the desert area from Rajasthan, India. The NBLs for Na, Cl, SO, HCO NO and F ions were assessed and compared with the natural and anthropogenic processes. The TVs were also calculated for Na, Cl, SO, HCO NO and F ions, and compared with the drinking limits of the Bureau of Indian Standards. Additionally, the pollution percentage (%) at the individual well was estimated and identified the polluted zones. Results indicate that most of the polluted areas were situated in the southern part, which was influenced by the natural and anthropogenic factors. The sodium concentrations above the TVs, in indicating the saline nature of water. Chloride threshold value above the drinking water limit was mainly observed in the dry season, related to intensive evaporation and industrial waste, which leads to groundwater quality degradation. The NO concentration (∼56% samples) above the TVs indicates extensive use of nitrate fertilizers and sewage effluent. The values of total dissolved solids (TDS) shows the suspicious scenario as about 84% of the samples in the dry period and about 89% in the wet season exceeding the drinking limit. Assessment of background concentrations and threshold values on regional and local scale assigns the basis for the identification of groundwater pollution, and helpful for better water quality guidelines to protecting of water resources.
自然背景水平(NBLs)和阈值(TVs)是识别和量化地下水污染以及评估污染控制措施的关键参数。本研究采用累积概率分布技术,评估了印度拉贾斯坦邦沙漠地区两个气候条件下采集的 36 个样本的 NBLs。评估了 Na、Cl、SO、HCO、NO 和 F 离子的 NBLs,并将其与自然和人为过程进行了比较。还计算了 Na、Cl、SO、HCO、NO 和 F 离子的 TVs,并与印度标准局的饮用水限值进行了比较。此外,还估算了每个井的污染百分比(%),并确定了污染区。结果表明,大部分污染区位于南部,这是受自然和人为因素影响的结果。钠离子浓度超过 TVs,表明水具有盐碱性。氯化物阈值超过饮用水限值主要发生在旱季,这与强烈的蒸发和工业废物有关,导致地下水质量下降。NO 浓度(∼56%的样本)超过 TVs,表明大量使用硝酸盐肥料和污水。总溶解固体(TDS)的值表明存在可疑情况,大约 84%的旱季样本和大约 89%的雨季样本超过了饮用水限值。对区域和局部范围内的背景浓度和阈值的评估为识别地下水污染提供了依据,并有助于制定更好的水质准则来保护水资源。