Assessing the Baseline Uranium in Groundwater around a Proposed Uraninite Mine and Identification of a Nearby New Reserve

Abstract

The presence of uranium in groundwater is a cause of concern all over the world. In mineralized regions where elevated concentrations of uranium are possible in groundwater, mining activities can further degrade the water quality. Hence, it is essential to document the baseline uranium concentration in groundwater before the commencement of mining. This study was carried out with the objective of assessing the concentration of uranium in groundwater around a proposed uraninite mining site in the Gogi region, Karnataka, India. Gogi is a village in the Yadgir district of Karnataka where groundwater is the main source of water for domestic needs. The uranium mineralized zone in this region occurs along the major E-W trending Gogi-Kurlagere fault at a depth of about 150 m. Groundwater samples were collected every three months from January 2020 to October 2020 from 52 wells located in this area. The concentration of uranium in groundwater ranged from 1.5 ppb to 267 ppb. The USEPA and WHO have recommended a permissible limit of 30 ppb, while the Atomic Energy Regulatory Board of India has a limit of 60 ppb for the purpose of drinking water. Based on these permissible limits for uranium in drinking water, concentrations exceeded the limit in about 25% of wells within 20 km from the mineralized region. Wells present in the granitic and limestone terrain exhibited higher concentrations of uranium in this area. Uranium concentration in groundwater changes depending on the degree of weathering, lithology, and rainfall recharge. This study will serve as a baseline and will help to assess the impact of mining activities in this region in the future. In wells where the uranium concentration exceeds permissible limits, it is suggested not to use groundwater directly for drinking purposes. These sites need to be explored further for the possible presence of uranium-bearing minerals.

Ant Colony Based Artificial Neural Network for Predicting Spatial and Temporal Variation in Groundwater Quality

“…In order to study the efficiency of this model, a real dataset of a study area located in the Yadgir district of Karnataka, India (Figure 4) was used. Groundwater samples were collected from 50 wells periodically once every 4 months from the year 2014 to 2020 [66][67][68]. The samples were collected in 250 mL polyethylene bottles that were pre-washed with a 1:1 diluted HNO 3 solution and rinsed with the water to be sampled before each sampling event.…”

“…The samples were collected in 250 mL polyethylene bottles that were pre-washed with a 1:1 diluted HNO 3 solution and rinsed with the water to be sampled before each sampling event. In the field, parameters such as, pH, HCO 3 and EC, were analyzed and Ca 2+ , Mg 2+ , Na + , K + , U 2+ and Cl − were measured in the laboratory following the standard procedures as explained in [67]. The ion balance error was calculated for analytical precision, which was within ± 10% [69].…”