Rapid urbanization and industrialization leading to an increase in groundwater contamination is a serious environmental concern in India in recent years. The risk of groundwater contamination is highly pronounced in and around the Ranipet industrial area causing a threat to human health and a balanced ecosystem. In this study, 40 groundwater samples were collected in and around the industrial area of Ranipet which is largely producing chromium (Cr) and chromium-based chemicals. The heavy metal contamination and water quality index (WQI) were evaluated to determine groundwater quality and related human health risk assessment using the model proposed by the USEPA for adults. Based on the WQI range, it is found that more than 50% of groundwater samples are poor and non-potable. Also, the concentration of heavy metal chromium in the groundwater exceeded the acceptable limit, i.e., 0.05 mg/L. The human health risk assessment indicates that the chronic daily intake of groundwater for adults in the study area is in the order of Cr > Fe > Pb > Cd indicating chronic toxicity. It was also observed that the carcinogenic risk is higher than the acceptable limit (1 × 10−6) as a result of higher chromium intake via ingestion. The outcome of the present study will support the stakeholders in decision-making toward regional sustainable groundwater management.

  • The study conducted in the industrial area of Ranipet depicts the groundwater quality and heavy metal contamination.

  • Chromium, the carcinogenic metal, was found to exceed the permissible limit of the World Health Organization standard.

  • Human health risk assessment and incremental lifetime cancer risk for the study area show that the community is likely to suffer from carcinogenic health effects.

Groundwater is the most precious, essential, and natural resource for life on Earth. It has become a vital source for several activities such as household needs, drinking, industrial, agriculture, and other purposes. For the past few decades, the human water demand is met from the utilization of groundwater. It is a valuable asset for the economic growth of a country, especially in arid and semi-arid regions. Groundwater quality is one of the major considerations of humankind since it is directly connected with human wellness. The assessment of groundwater's physical, chemical, and biological characteristics is important before consumption. In developing countries like India, groundwater contamination has become a serious concern in the post-industrialization era. Over the years, high levels of groundwater contamination are observed in most parts of the country due to the percolation of toxic elements from industrial effluents, landfills, and diffused polluters from pesticides and fertilizers. Deterioration in groundwater quality can be due to natural processes such as the geological formation of rocks and numerous anthropogenic activities such as improper disposal and release of effluent from industries into surface water bodies which migrates under the action of leaching from unsaturated zone to groundwater effortlessly (Shankar et al. 2008; Li et al. 2021). Especially in the vastly industrialized and densely populated regions with shallow aquifers, groundwater contamination by anthropogenic wastes is a serious issue (Arumugam & Elangovan 2009; Krishna Kumar et al. 2014).

Numerous studies have been conducted in various parts of India to determine the groundwater contamination and their sources of pollution (Lakshmanan et al. 2003; Shankar et al. 2008; Rao et al. 2011; Brindha & Elango 2012; Selvakumar et al. 2017; Acharya et al. 2018; Chaurasia et al. 2018; Dhawde et al. 2018; Adimalla & Qian 2019). Various models have been implemented for assessing groundwater vulnerability and to identify the risk zones across the country (Khan et al. 2010; Alam et al. 2014; Bhuvaneswaran & Ganesh 2019; Bera et al. 2021) to highlight the requisite groundwater management plans and protection measures. Hence, effective regulation and reclamation of the ecological environment polluted by toxic elements and heavy metals have become a serious scientific issue affecting the health and development of the economy.

A few heavy metals such as copper (Cu), zinc (Zn), and iron (Fe) are essential for human body metabolism, while the excess concentration of other heavy metals like chromium (Cr), cobalt (Co), arsenic (As), and cadmium (Cd) is highly toxic even at low concentration. Higher concentrations of such heavy metals in potable water can cause various health issues such as kidney, liver damage, and gastric cancer (He et al. 2018). A higher amount of Cr via food or contaminated water can cause kidney damage, intestinal bleeding, and gastrointestinal stromal tumors (Muhammad et al. 2011). The characterization of the heavy metal content in groundwater is necessary to fathom the source, fate, transport, and potential health risk (Lu et al. 2018). Health risk assessment is an effective tool used in the qualitative assessment of human health to the existing environment in terms of hazard quotient. As per the study conducted using Sobol sensitivity model-based human health risk evaluation, children face more severe health risks than women and men in the leather tanning industrial region of South India (Karunanidhi et al. 2021). Due to the severity of the problem, existing conditions of groundwater quality have to be assessed and an action plan for remediation measures has to be implemented with immediate effect.

The specific study aimed to (i) assess the groundwater quality in the industrial area of Ranipet, (ii) determine the heavy metals concentration in groundwater, and (iii) assess the carcinogenic human health hazards of chromium in adults through oral intake. This study is important as the groundwater in the study region is majorly used for residential and irrigation purposes, and the impact of groundwater contamination on human health has not been investigated in the past. Thus, the present study provides insight into the human health risk assessment due to the presence of high heavy metal concentration in the groundwater of the study area.

The study region (Figure 1) in the Ranipet industrial area is an industrial hub located near Chennai city in southern India. The Palar river which runs through the district is one of the commonly used sources of drinking water. The major rock formation is Charnockite, Gneiss, Granite, Syentis, Pyroxineite, Sandstone, Shale, and Alluvium with basic sedimentary rock type. Due to the establishment of the industrial complex by the State Industries Promotion Corporation of Tamilnadu Ltd (SIPCOT) at Ranipet, the region consists of various sectors of sodium and chromates manufacturing units; tanning industries, pharmaceutical companies, and common effluent treatment plants. Residents and industries mostly rely on the groundwater for domestic, farming, industrial activities, and other purposes. The growing industrial activities in the study region with negligible environmental concern leading to improper disposal of effluent causes the contamination of groundwater by heavy metals. Also, the heaps of chromium sludge which are left behind the premises of closed down factories in the old SIPCOT sector for more than two decades without proper disposal plan and detoxification of water gathers dust and contributes to the increased chromium content in groundwater which is higher than the permissible limit. The carcinogenic elements present in these effluents will have an adverse health effect on the population of the region when it is exposed for a long duration.

Figure 1

Study area.

Sample collection and analysis

Forty groundwater samples were collected that include 30 existing borewells, 6 open wells, and 4 hand pumps covering the entire area of interest shown in Figure 1 as per standard EPA procedures. The location details of the sample collection were collected using handheld GPS. Water samples were collected after pumping stagnated water for 10 min from the bore wells, open wells, and hand pumps (see Figure 2(a)–2(c)). Each sample was collected in prewashed 1,000 ml polyethylene bottles. It was then secured, labeled (as shown in Figure 2(d)), and carefully transported to the laboratory.

Figure 2

Groundwater samples collected from various sources in the study region: (a) hand pump, (b) open well, (c) borewell, and (d) collected and labeled samples.

Figure 2

Groundwater samples collected from various sources in the study region: (a) hand pump, (b) open well, (c) borewell, and (d) collected and labeled samples.

Close modal

Physiochemical parameters for the samples were determined using standard methods. The samples collected were analyzed within 5 days. At the laboratory, the titrimetric method was performed to determine total hardness (TH), bicarbonate (HCO3), carbonate (CO32−), chloride (Cl), calcium (Ca2+), and magnesium (Mg2+) as shown in Figure 3. The samples collected were investigated for possible heavy metals. For the analysis of heavy metals, a few drops of concentrated HNO3 acid were added to the water samples to maintain the pH ∼2 and also to avoid the precipitation of heavy metals. Fifty milliliters of each sample were taken in a conical flask and 10 ml of concentrated HNO3 solution was added and heated for digestion. It was then allowed to cool and was filtered using Whatman filter paper no. 42. The concentration of chromium (VI) was then measured for the filtrate spectrophotometrically at 540 nm using the diphenylcarbazide colorimetric technique.

Figure 3

Testing of samples in the laboratory.

Figure 3

Testing of samples in the laboratory.

Close modal
The accuracy of charge balance error (%CBE) for each sample is calculated using the following formula:
(1)
where all the ions are expressed in meq/L. The calculated %CBE was found to be below ±10% which indicates the accuracy of the data.
Then, the quality of the collected groundwater samples for drinking purposes is estimated based on parameters like water quality index (WQI; Tyagi et al. 2020) and its deleterious effect on human health by human health risk assessment (Adimalla & Qian 2019). The WQI is determined as
(2)
(3)
(4)
(5)
where is a rating based on the concentration, is the unit weight of each water quality parameter, is the standard ith parameter, is the calculated concentration of the parameter in the sample, is the standard value of parameters in pure water, and K is the proportionality constant. The range of WQI values as depicted in Table 1 determines the water quality status for potability.
Table 1

Water quality index and water quality status (Bengal et al. 2007)

Water quality index valueWater quality status
0–25 Very good 
26–50 Good 
51–75 Average 
76–100 Poor 
>100 Non-potable 
Water quality index valueWater quality status
0–25 Very good 
26–50 Good 
51–75 Average 
76–100 Poor 
>100 Non-potable 
Heavy metal enters the human body through various routes such as oral, dental, and inhalation. Oral intake has a high influence when compared to other means. So, this study considers the human health effects via oral intake only, and others are neglected. The Chronic Daily Intake (CDI) of heavy metal through oral consumption considering various parameters (as given in Table 2) and hazard quotient are estimated by the following formulas.
(6)
(7)
(8)
Table 2

Parameters for determining chronic daily intake (CDI) for the drinking water

ParametersSymbolsUnitsValues
Consumption rate CR L/day 2.2 
Exposure frequency EF day/year 365 
Exposure duration ED years 70 
Body weight BW kg 70 
Average time AT days 25,550 
Concentration of heavy metal mg/L Study values 
ParametersSymbolsUnitsValues
Consumption rate CR L/day 2.2 
Exposure frequency EF day/year 365 
Exposure duration ED years 70 
Body weight BW kg 70 
Average time AT days 25,550 
Concentration of heavy metal mg/L Study values 

is the reference dose of heavy metals, and is the cancer slope factor which is defined as the health risk caused by the exposure to an average amount of 1 mg/kg/day of carcinogenic element (USEPA 2014; Teng et al. 2015).

Heavy metal in water is a serious threat to organisms which leads to both gastric cancer and non-carcinogenic effects through consumption. The United States Environmental Protection Agency (USEPA) defined incremental lifetime cancer risk to be a cumulative probability of an individual to develop any type of cancer over a lifespan as the result of exposure to heavy metals (Mohammadi et al. 2019). Non-carcinogenic and carcinogenic risks are calculated and it is defined that their values should not exceed 10−6 (USEPA 2004).

General hydrochemical parameters

The physiochemical parameters (as given in Table 3) of the collected groundwater samples in the study area were analyzed. The basic parameter pH of the groundwater samples collected is slightly acidic and alkaline ranging from 6.35 to 8.51 with an average of 7.22. All the samples collected were found to be within the World Health Organization (WHO) standard (BIS 2012). However, pH does not usually have a direct impact on human health. The concentration of electrical conductivity which is the measure of free ions concentration in groundwater varies from 230 to 2,315 μs/cm. This may be due to the higher concentration of free-moving ionic concentration. Hardness in water is generally caused mainly by calcium and magnesium ions. The total hardness in the groundwater samples ranged from 85 to 314 mg/L with a mean value of 164.75 mg/L. 25% of the samples exceeded the standard of 200 mg/L, while the TDS for the study area varies from 212 to 1,905 mg/L with an average value of 751.3 mg/L. According to the WHO, drinking water with a TDS level less than 500 mg/L is always considered to be good for human health, whereas water with a TDS level greater than 500 and 1,000 mg/L is classified as hard and brackish water, respectively. So, 12.5% of total samples in the study region are found to be unpalatable for human health. Even though the major ions Ca2+, Mg2+, and Cl are essential for human health, the increase in the concentration of these ions will lead to serious disorders in metabolic activities. The concentration of Ca2+, Mg2+, and Cl in the samples varied from 37 to 253 mg/L, 24 to 99 mg/L, and 92 to 907.3 mg/L, respectively. In this study, 67% of samples exceeded the permissible limit for Ca2+, 42% exceeds the limit of Mg2+ and 52% of samples exceed the limit of Cl. Sampling results presented in Table 6 should show more statistical parameters such as standard deviation, skewness, and confidence intervals.

Table 3

Physiochemical parameters of groundwater

ParameterUnitsMinimumMaximumMeanWHO (2008) 
pH – 6.35 8.51 7.22 6.5–8.5 
EC μS/cm 230 2,315 1,067.65 – 
TDS mg/L 212 1,905 751.30 500 
TH mg/L 85 314 164.75 200 
TA mg/L 115 426 265.77 120 
Ca2+ mg/L 37 253 107.70 75 
Mg2+ mg/L 24 99 56.80 50 
Cl mg/L 92 907.3 298.98 250 
ParameterUnitsMinimumMaximumMeanWHO (2008) 
pH – 6.35 8.51 7.22 6.5–8.5 
EC μS/cm 230 2,315 1,067.65 – 
TDS mg/L 212 1,905 751.30 500 
TH mg/L 85 314 164.75 200 
TA mg/L 115 426 265.77 120 
Ca2+ mg/L 37 253 107.70 75 
Mg2+ mg/L 24 99 56.80 50 
Cl mg/L 92 907.3 298.98 250 

Assessment of groundwater quality for drinking

In the present research, the WQI varies from 42.71 to 117.97 with a mean value of 78.54. Based on the WQI about 55% of water samples collected were poor and non-potable (Table 4). This result strongly implies that the groundwater in the study area is highly contaminated by heavy metals due to the effluent discharge from industries.

Table 4

Water quality index of collected groundwater samples

Water quality indexWater quality statusNumber of samples% of samples
0–25 Excellent – – 
26–50 Good 10 
51–75 Moderate 14 35 
76–100 Poor 20 50 
>100 Non-potable 
Water quality indexWater quality statusNumber of samples% of samples
0–25 Excellent – – 
26–50 Good 10 
51–75 Moderate 14 35 
76–100 Poor 20 50 
>100 Non-potable 

Heavy metals in groundwater

Chromium occurs in higher concentrations of wastes from electroplating, paints, dyes, chrome plating, tanning, and leather industries. A trace amount of these metals are important to human health. However, in higher concentrations, they can be toxic and cause serious health effects. The recommended level of chromium in drinking water is 0.05 mg/L. The study shows a variation from 0.012 to 40.5 mg/L while the other heavy metals such as Fe, Cd, and Pb were found to be with in limits given by the WHO (Table 5), and the statistical data such as standard deviation, skewness, and confidence intervals for the heavy metals are presented in Table 6. The 95% confidence interval for all the parameters states that the values are true for all the samples collected. As the encompassing rocks are crystalline rocks of granites and basic dykes and do not influence the groundwater contamination (Srinivasa Gowd & Govil 2008), the intrusion of a high concentration of chromium into the groundwater appears to be mainly due to effluents from the surrounding chromium-based industries (Figure 1). And also, the groundwater samples collected at the proximity of the industrial locations showed the presence of Cr6+ exceeding the permissible limit. This confirms the source of higher Cr6+ concentration is anthropogenic from existing tanneries, chromium-based industries, and their improper waste disposal. Discharge of tannery effluents into open land leads to leaching and seepage of contaminants into the groundwater over a long period accounting for an elevated level of chromium.

Table 5

Heavy metal concentration in groundwater (all units are in mg/L)

Heavy metalsMinimumMaximumMeanWHO (2008) 
Cr6+ 0.01 40.52 4.173 0.05 
Fe 0.013 0.57 0.19 0.3 
Cd 0.0001 0.004 0.001 0.01 
Pb 0.0001 0.053 0.006 0.1 
Heavy metalsMinimumMaximumMeanWHO (2008) 
Cr6+ 0.01 40.52 4.173 0.05 
Fe 0.013 0.57 0.19 0.3 
Cd 0.0001 0.004 0.001 0.01 
Pb 0.0001 0.053 0.006 0.1 
Table 6

Statistical data for various physiochemical parameters and heavy metals

ParametersStandard deviationSkewnessConfidence interval
LowerUpper
pH 0.618 0.366 7.05 7.413 
EC 527.840 0.402 913.48 1,239.33 
TDS 396.954 1.415 639.68 869.733 
Cl 196.528 1.481 239.80 362.580 
Ca2+ 54.212 1.063 93.153 124.949 
Mg2+ 20.502 0.372 50.051 62.999 
TH 60.722 0.966 147.477 183.6744 
TA 89.719 0.018 239.235 292.271 
Cr 11.291 2.555 0.997 8.007 
Fe 0.126 0.870 0.1540 0.233 
Cd 0.001 1.125 0.00083 0.0014 
Pb 0.011 3.145 0.0032 0.010 
ParametersStandard deviationSkewnessConfidence interval
LowerUpper
pH 0.618 0.366 7.05 7.413 
EC 527.840 0.402 913.48 1,239.33 
TDS 396.954 1.415 639.68 869.733 
Cl 196.528 1.481 239.80 362.580 
Ca2+ 54.212 1.063 93.153 124.949 
Mg2+ 20.502 0.372 50.051 62.999 
TH 60.722 0.966 147.477 183.6744 
TA 89.719 0.018 239.235 292.271 
Cr 11.291 2.555 0.997 8.007 
Fe 0.126 0.870 0.1540 0.233 
Cd 0.001 1.125 0.00083 0.0014 
Pb 0.011 3.145 0.0032 0.010 

Evaluation of health risk assessment

The result analysis of the collected groundwater samples considering various parameters indicates that the groundwater is severely contaminated by Chromium metal. Based on the WQI, it is found that only 10% of the water samples are suitable for drinking purposes, while others are of poor quality and non-potable. Hence, this will have an adverse impact on the health of families in and around the region through regular consumption and it is essential to conduct the human health risk analysis for the study area.

Considering the concentration of various heavy metals and the drinking water intake, the carcinogenic health risk assessment is performed as per the model suggested by the USEPA. The hazard quotient and incremental lifetime cancer risk are calculated and presented in Table 7. The carcinogenic risk heavy metals were found to be within limits except for chromium. The incremental lifetime cancer risk via oral intake for chromium varies from 0.01288 to 0.05218 with an average value of 0.00537. This is significantly higher than the permissible limit (1 × 10−6) recommended by the Ministry of Environmental Protection (USEPA 2004).

Table 7

Hazard quotient and incremental lifetime cancer risk from exposure to heavy metals

SamplesHazard Auotient
Incremental lifetime cancer risk
CrFe × 10−5Cd × 10−9Pb × 10−8Cr × 10−5Cd × 10−8Pb × 10−7
0.00012 0.104 6.285 2.244 1.546 1.917 2.671 
0.38238 5.971 0.6285 3.367 Below the desired limit (BDL) 0.1917 4.007 
0.22523 BDL 0.0125 4.489 5.154 0.3834 5.342 
0.42428 BDL 0.0251 0.2244 BDL 0.7668 26.71 
0.00523 4.399 0.0125 0.5612 BDL 0.3834 66.78 
0.30275 BDL 0.6285 2.469 BDL 0.1917 2.938 
0.39180 BDL 0.6285 5.387 BDL 0.1917 6.411 
0.00209 BDL 0.6285 2.244 BDL 0.1917 2.671 
0.00628 3.771 0.01257 5.612 BDL 3.834 6.678 
10 0.00041 4.399 6.285 2.244 5.154 0.1917 2.671 
11 0.00052 1.361 0.0125 1.167 6.442 0.3834 13.89 
12 0.00020 1.676 0.6285 3.142 2.577 0.1917 3.739 
13 0.00020 BDL 0.0188 8.305 2.577 0.5751 9.884 
14 0.00010 BDL 0.1257 0.1346 1.288 3.834 16.02 
15 0.00052 BDL 0.6285 0.1212 6.442 0.1917 14.42 
16 0.00010 2.514 0.3142 8.979 1.288 9.585 10.68 
17 0.00031 1.676 0.6285 5.387 3.865 0.1917 6.411 
18 0.00041 BDL 0.01257 6.734 5.154 0.3834 8.014 
19 0.00010 0.1047 6.285 2.244 1.288 1.917 2.671 
20 0.00041 0.4190 0.01885 4.714 5.154 0.5751 5.60 
21 0.00020 BDL 0.6285 0.1795 2.577 0.1917 21.3 
22 0.00010 0.1047 0.2514 0.9203 1.288 7.668 0.0109 
23 0.00031 0.2095 6.285 0.0118 3.865 1.917 0.01415 
24 0.00026 0.4190 0.1885 0.6285 3.221 5.751 0.7479 
25 0.00031 BDL 6.285 2.244 3.865 1.917 2.671 
26 0.00104 BDL 0.1257 3.367 BDL 3.834 4.007 
27 0.00020 BDL 0.6285 9.42 2.577 0.1917 0.01121 
28 0.00010 BDL 0.6285 9.652 1.288 0.1917 0.01148 
29 0.00010 1.885 0.1257 6.285 1.288 3.834 7.479 
30 0.00041 BDL 6.285 2.693 5.154 1.917 3.205 
31 0.00020 BDL 0.1885 2.244 2.577 5.751 2.671 
32 0.00010 1.676 0.6285 8.979 1.288 0.1917 0.01068 
33 0.00020 BDL 0.0125 6.734 2.577 0.3834 8.014 
34 0.00041 BDL 0.6285 7.183 5.154 0.1917 8.548 
35 0.00031 BDL 0.0125 2.244 3.865 0.3834 2.671 
36 0.00020 2.199 0.6285 0.022 2.577 0.1917 2.671 
37 0.00031 1.466 6.285 2.244 3.865 1.917 2.671 
38 0.00020 BDL 0.0125 5.387 2.577 0.3834 6.411 
39 0.00020 BDL 0.6285 4.489 2.577 0.1917 5.342 
40 0.00020 BDL 0.6285 6.734 2.577 0.1917 8.014 
Minimum 0.00010 0.1047 6.285 0.02244 1.288 1.917 0.2671 
Maximum 0.42428 5.971 0.0251 1.189 0.05218 7.668 1.415 
Mean 0.04372 1.998 0.6882 1.388 0.00537 2.099 1.652 
SamplesHazard Auotient
Incremental lifetime cancer risk
CrFe × 10−5Cd × 10−9Pb × 10−8Cr × 10−5Cd × 10−8Pb × 10−7
0.00012 0.104 6.285 2.244 1.546 1.917 2.671 
0.38238 5.971 0.6285 3.367 Below the desired limit (BDL) 0.1917 4.007 
0.22523 BDL 0.0125 4.489 5.154 0.3834 5.342 
0.42428 BDL 0.0251 0.2244 BDL 0.7668 26.71 
0.00523 4.399 0.0125 0.5612 BDL 0.3834 66.78 
0.30275 BDL 0.6285 2.469 BDL 0.1917 2.938 
0.39180 BDL 0.6285 5.387 BDL 0.1917 6.411 
0.00209 BDL 0.6285 2.244 BDL 0.1917 2.671 
0.00628 3.771 0.01257 5.612 BDL 3.834 6.678 
10 0.00041 4.399 6.285 2.244 5.154 0.1917 2.671 
11 0.00052 1.361 0.0125 1.167 6.442 0.3834 13.89 
12 0.00020 1.676 0.6285 3.142 2.577 0.1917 3.739 
13 0.00020 BDL 0.0188 8.305 2.577 0.5751 9.884 
14 0.00010 BDL 0.1257 0.1346 1.288 3.834 16.02 
15 0.00052 BDL 0.6285 0.1212 6.442 0.1917 14.42 
16 0.00010 2.514 0.3142 8.979 1.288 9.585 10.68 
17 0.00031 1.676 0.6285 5.387 3.865 0.1917 6.411 
18 0.00041 BDL 0.01257 6.734 5.154 0.3834 8.014 
19 0.00010 0.1047 6.285 2.244 1.288 1.917 2.671 
20 0.00041 0.4190 0.01885 4.714 5.154 0.5751 5.60 
21 0.00020 BDL 0.6285 0.1795 2.577 0.1917 21.3 
22 0.00010 0.1047 0.2514 0.9203 1.288 7.668 0.0109 
23 0.00031 0.2095 6.285 0.0118 3.865 1.917 0.01415 
24 0.00026 0.4190 0.1885 0.6285 3.221 5.751 0.7479 
25 0.00031 BDL 6.285 2.244 3.865 1.917 2.671 
26 0.00104 BDL 0.1257 3.367 BDL 3.834 4.007 
27 0.00020 BDL 0.6285 9.42 2.577 0.1917 0.01121 
28 0.00010 BDL 0.6285 9.652 1.288 0.1917 0.01148 
29 0.00010 1.885 0.1257 6.285 1.288 3.834 7.479 
30 0.00041 BDL 6.285 2.693 5.154 1.917 3.205 
31 0.00020 BDL 0.1885 2.244 2.577 5.751 2.671 
32 0.00010 1.676 0.6285 8.979 1.288 0.1917 0.01068 
33 0.00020 BDL 0.0125 6.734 2.577 0.3834 8.014 
34 0.00041 BDL 0.6285 7.183 5.154 0.1917 8.548 
35 0.00031 BDL 0.0125 2.244 3.865 0.3834 2.671 
36 0.00020 2.199 0.6285 0.022 2.577 0.1917 2.671 
37 0.00031 1.466 6.285 2.244 3.865 1.917 2.671 
38 0.00020 BDL 0.0125 5.387 2.577 0.3834 6.411 
39 0.00020 BDL 0.6285 4.489 2.577 0.1917 5.342 
40 0.00020 BDL 0.6285 6.734 2.577 0.1917 8.014 
Minimum 0.00010 0.1047 6.285 0.02244 1.288 1.917 0.2671 
Maximum 0.42428 5.971 0.0251 1.189 0.05218 7.668 1.415 
Mean 0.04372 1.998 0.6882 1.388 0.00537 2.099 1.652 

Elevated concentration of chromium in groundwater can be hazardous to human health if consumed over a long period of time and the main potential human health threats are cancer, respiratory problems, anemia, gastrointestinal hemorrhage, ulcers, liver, and kidney failure.

In this research, 40 groundwater samples were taken from the industrial area of Ranipet to assess the groundwater quality using the WQI and the human health risk through oral intake. The following conclusion can be drawn from this work.

  1. The groundwater collected was both acidic and alkaline. This was mainly due to the dominant carbonate (HCO3). The main carcinogenic contaminant in the study area was found to be chromium (Cr).

  2. Based on the WQI, only 10% of groundwater samples were found to be suitable for drinking purposes. In addition, based on the heavy metal analysis for the collected samples, the chromium concentration was found to exceed the permissible limit. This is due to the proximity and improper disposal from such chromium-based industries in and around the study area.

  3. The human health risk assessment shows that adults are likely to suffer from the cancer-causing effects due to the higher content of Chromium in groundwater samples. Thus, exposure to such heavy metal for a longer duration of time cause the chance of higher carcinogenic risk in an adult population.

Accumulation of heavy metals in drinking water and subsequent intake might pose a potential risk to human health. Also, chronic long-term exposure to high doses of chromium, especially Cr6+ promotes carcinogenicity and mutagenicity among humans and animals through their oral intake. With growing awareness and scientific knowledge concerning environmental and health consequences due to contaminants in drinking water, the need for an integrated framework for groundwater quality management has gained serious attention. Government should invest in valuation and formulate an action plan to understand the current scenario of damages made to natural resources and also to reverse the effects of severe groundwater contamination due to anthropogenic activities. A fundamental shift in federal environmental policies inclusive of regulations on risk reduction and resource valuation will prevent environmental degradation and its adverse impacts in the near future. Thus, the findings of this study will help regulatory authorities and stakeholders in decision-making toward regional sustainable groundwater management and remediation of contaminated sites promoting a healthier environment.

We would like to thank the technicians of the Analytical Instrumentation laboratory, Technology Business Incubator for their assistance in heavy metal analysis at VIT Vellore.

All relevant data are included in the paper or its Supplementary Information.

Alam
F.
,
Umar
R.
,
Ahmed
S.
&
Ahmad Dar
F.
2014
A new model (DRASTIC-LU) for evaluating groundwater vulnerability in parts of central Ganga Plain, India
.
Arabian Journal of Geosciences
7
,
927
937
.
https://doi.org/10.1007/s12517-012-0796-y
.
Bengal
W.
,
Chatterjee
P. R.
&
Raziuddin
M.
2007
Studies on the water quality of a water body at Asansol Town, West Bengal
.
Nature Environment and Pollution Technology
6
(
2
),
289
292
.
Bera
A.
,
Mukhopadhyay
B. P.
,
Chowdhury
P.
,
Ghosh
A.
&
Biswas
S.
2021
Groundwater vulnerability assessment using GIS-based DRASTIC model in Nangasai River Basin, India with special emphasis on agricultural contamination
.
Ecotoxicology and Environmental Safety
214
.
https://doi.org/10.1016/j.ecoenv.2021.112085.85
.
Bhuvaneswaran
C.
&
Ganesh
A.
2019
Spatial assessment of groundwater vulnerability using DRASTIC model with GIS in Uppar odai sub-watershed, Nandiyar, Cauvery Basin, Tamil Nadu
.
Groundwater for Sustainable Development
9
.
https://doi.org/10.1016/j.gsd.2019.100270
.
BIS
2012
Indian Standard Drinking Water Specification (Second Revision)
.
Bureau of Indian Standards
,
IS 10500(May)
, pp.
1
11
.
Brindha
K.
&
Elango
L.
2012
Impact of tanning industries on groundwater quality near a metropolitan city in India
.
Water Resources Management
26
(
6
),
1747
1761
.
Chaurasia
A. K.
,
Pandey
H. K.
,
Tiwari
S. K.
,
Prakash
R.
,
Pandey
P.
&
Ram
A.
2018
Groundwater quality assessment using water quality index (WQI) in parts of Varanasi District, Uttar Pradesh, India
.
Journal of the Geological Society of India
92
(
1
),
76
82
.
Dhawde
R.
,
Surve
N.
,
Macaden
R.
,
Wennberg
A. C.
,
Seifert-Dähnn
I.
,
Ghadge
A.
&
Birdi
T.
2018
Physicochemical and bacteriological analysis of water quality in drought prone areas of Pune and Satara districts of Maharashtra, India
.
Environments – MDPI
5
(
5
),
1
20
.
Karunanidhi
D.
,
Aravinthasamy
P.
,
Subramani
T.
,
Kumar
D.
&
Venkatesan
G.
2021
Chromium contamination in groundwater and Sobol sensitivity model based human health risk evaluation from leather tanning industrial region of South India
.
Environmental Research
199
.
https://doi.org/10.1016/j.envres.2021.111238
.
Khan
M. M. A.
,
Umar
R.
&
Lateh
H.
2010
Assessment of aquifer vulnerability in parts of Indo Gangetic plain, India
.
International Journal of Physical Sciences
5
(
1
),
1711
1720
.
Krishna Kumar
S.
,
Bharani
R.
,
Magesh
N. S.
,
Godson
P. S.
&
Chandrasekar
N.
2014
Hydrogeochemistry and groundwater quality appraisal of part of south Chennai coastal aquifers, Tamil Nadu, India using WQI and fuzzy logic method
.
Applied Water Science
4
,
341
350
.
Li
D.
,
Zhai
Y.
,
Lei
Y.
,
Li
J.
,
Teng
Y.
,
Lu
H.
,
Xia
X.
,
Yue
W.
&
Yang
J.
2021
Spatiotemporal evolution of groundwater nitrate nitrogen levels and potential human health risks in the Songnen Plain, Northeast China
.
Ecotoxicology and Environmental Safety
208
,
111524
.
Lu
Y.
,
Zang
X.
,
Yao
H.
,
Zhang
S.
,
Sun
S.
&
Liu
F.
2018
Assessment of trace metal contamination in groundwater in a highly urbanizing area of Shenfu New District, Northeast China
.
Frontiers of Earth Science
12
(
3
),
569
582
.
Mohammadi
A. A.
,
Zarei
A.
,
Majidi
S.
,
Ghaderpoury
A.
,
Hashempour
Y.
,
Saghi
M. H.
,
Alinejad
A.
,
Yousefi
M.
,
Hosseingholizadeh
N.
&
Ghaderpoori
M.
2019
Carcinogenic and non-carcinogenic health risk assessment of heavy metals in drinking water of Khorramabad, Iran
.
MethodsX
6
,
1642
1651
.
Rao
G. T.
,
Rao
V. V. S. G.
,
Ranganathan
K.
,
Surinaidu
L.
,
Mahesh
J.
&
Ramesh
G.
2011
Assessment of groundwater contamination from a hazardous dump site in Ranipet, Tamil Nadu, India
.
Hydrogeology Journal
19
(
8
),
1587
1598
.
Shankar
B. S.
,
Balasubramanya
N.
&
Maruthesha Reddy
M. T.
2008
Impact of industrialization on groundwater quality – a case study of Peenya industrial area, Bangalore, India
.
Environmental Monitoring and Assessment
142
(
1–3
),
263
268
.
Srinivasa Gowd
S.
&
Govil
P. K.
2008
Distribution of heavy metals in surface water of Ranipet industrial area in Tamil Nadu, India
.
Environmental Monitoring and Assessment
136
(
1–3
),
197
207
.
Tyagi
S.
,
Sharma
B.
,
Singh
P.
&
Dobhal
R.
2020
Water quality assessment in terms of water quality index
.
American Journal of Water Resources
1
(
3
),
34
38
.
USEPA
2004
Risk Assessment Guidance for Superfund (RAGS)
.
Volume I. Human health evaluation manual (HHEM). Part E. Supplemental guidance for dermal risk assessment. US EPA, 1(540/R/99/005)
.
USEPA
2014
2013U.S. Environmental Protection Agency (EPA) International Decontamination Research and Development Conference
.
U.S. Environmental Protection Agency
,
2(EPA/600/R-14/210)
, pp.
1
779
.
WHO
2008
WHO guidelines for drinking-water quality
.
World Health Organization
,
Geneva, Switzerland
.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/).