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This study evaluated the groundwater using the Entropy Weightage Quality Index model (EWQI). Eighteen samples were taken from the different wellbores during premonsoon seasons in 2021. The present study is aimed at developing a comprehensive approach for groundwater quality assessment and associated health risk along with the cancer risk due to the presence of heavy metals. The water quality of Ranchi city was found to be better except in the western zone. Principal component analysis (PCA) revealed that arsenic (As) was the most influencing element that deteriorated the potability of water which supports our study. The study looked at cancer and noncancer health hazards connected with heavy metal music. The value of hazardous quotient (HQ) was observed to be relatively higher in As ( HQ > 1 ) and Ni, followed by Mn > Fe > Zn > Cu . Also, the children were at higher risk than adults. The cancer risk associated with arsenic was investigated and found that the northern part and southeast-west (lapung block) of the study are at higher risk. Prolonged ingestion of As causes diseases like arsenicosis that leads to enhanced chances of cancer risk. This research provides an immense research database to assess the potability of drinking water in a similar city like Ranchi.

The present study assessed the suitability of groundwater by using the Canadian Council of Ministers of the Environment Water Quality Index (CCME-WQI) and the Groundwater Water Quality Index (GWQI) Model. Six heavy metals viz. arsenic (As), Iron (Fe), Manganese (Mn), Copper (Cu), Lead (Pb), and Nickel (Ni) were investigated in the groundwater from 65 locations of Ranchi city by the Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). The spatial distribution of WQI was established by Inverse Distance Weighted (IDW) interpolation technique using ArcGIS 10.3. The mystery of hydrogeochemical evolution in groundwater was elucidated by plotting the Piper trilinear diagram of major cations (Ca2+, Na+, Mg2+, K+) and anions (HCO3-, Cl-, SO42-, F-). Significant fluctuations in the water level during PRM (7.38mbgl to 10.5 mbgl) and POM (4.3- 6.4 mbgl) season were observed in the central part of the study area. Performance evaluation of WQI models indicated that the CCMEWQI performed better than GWQI for assessing the quality index of groundwater with a comparatively higher coefficient value (R2 0.97) and less NMSE (4.34) RMSE (27.38), MAPE (0.357). The health risk of heavy metals via the oral route was investigated by calculating hazard quotient (HQ) and hazard index (HI). The HI value was observed maximum for As followed by Mn >Pb > Ni >Fe >Cu for adults and children. The spatial distribution map of HI indicated that most of the studies area are at a non-carcinogenic risk of heavy metals. The study provides immense help for water authorities and public health decision-makers to prevent the community's health risk.

The present study investigated the spatial variability and water quality index (WQI) modeling of groundwater for drinking purposes. Thus, the sample from 30 locations in Jamshedpur city was collected to explore the hydrochemical characteristics. The range of values of trace elements was well complied with the Bureau of Indian Standards (BIS) except Co (0.1 to 13.87 µg/L), Cu (0.12 to 64.62 µg/L), Mn (20 to 1461 µg/L), and Sr (30 to 544 µg/L).The water table of this region showed tremendous variation (0.44 to 4.90 mbgl) as monitored by a sensor-based water level recorder. The WQI model revealed that only 4% of the water in this region is under the excellent categories, followed by good (86%) and poor (10%). Human health risk assessment of trace elements in contaminated groundwater was also performed according to the United States Environmental Protection Agency (USEPA). The estimated hazard index (HI) value (4.85E-02 to 1.61E+00) indicated the non-carcinogenic risk. The study provides immense help for public health decision-makers to prevent the communities health risks.

The intensive Coal mining in Dhanbad, India, is crucial for contaminating the groundwater resources. The present work aims to estimate the vulnerability of aquifers to contamination with the aid of a GIS‐based DRASTIC approach. This is finally validated by comparing the concentration of the contaminant computed by the Solute Transport Model. Using the soil moisture flow and pollutant transport model, an effort is made to validate the vulnerability of groundwater pollution. The vulnerability maps showed that some of this region's western southwest, and northern part lies in the highly vulnerable region. The major influential parameters in the present study for mapping the vulnerability are shallow depth to groundwater, higher net recharge and more permeable vadose zone. Furthermore, the surrounding mining activities are highly accountable for depleting groundwater superiority in the present research area. These vulnerability maps can be later on effectively used for environmental development and managing future water resources. The Solute Transport Model does not compute vulnerability; instead, it computes the concentration of the contaminant.