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Assessment of Trace Element Concentrations in Groundwater Sources of a Rural Village in Kerala, India

Muhammed Thaniem, Anupama Prakash, Muniyandi Muniasamy*, Rangasamy Eeshwarand Palanisamy Sundarabalan

1School of Life Science, Department of Environmental Sciences, Bharathiar University, Coimbatore, Tamil Nadu India

Corresponding author Email:munis@buc.edu.in

DOI:http://dx.doi.org/10.12944/CWE.18.2.34

水是所有生物体的重要组成部分. India is already experiencing the effects of the impending global freshwater crisis in terms of water quantity and quality. The study, which was carried out in a rural village (Villiappally Gramapanchayath) in Kerala, sought to quantify the level of trace elements in the ground water and to determine how they affected the quality of the water suitable for human use. Twenty-two public wells that are used by the residents for their everyday needs are sampled in the pre-monsoon for the analysis. ICP-MS was used to analyse the water samples for the presence of the heavy metals Zn, Pb, Fe, Cd, As, and Al. The acquired value from ICP-MS analysis is compared with BIS standard values of drinking water quality. From the analysed heavy metals, cadmium and iron in some of the wells are exceeding the permissible limit of BIS. HPI of each well is carried out and find out that DW1, DW2 and DW14 is not fit for drinking purpose. By analysing the Metal Index (MI) out of 22 wells, 9 wells are pure in quality and others are slightly to moderately affected. Certain metals in different wells shows slight greater concentration than the permissible limits of BIS. These might be taken into account for a safer drinking water.

Drinking water; Ground water; Heavy metals; Water quality

Copy the following to cite this article:

Thaniem M, Prakash A, Muniasamy M, Eeshwar R, Sundarabalan P. Assessment of Trace Element Concentrations in Groundwater Sources of a Rural Village in Kerala, India. Curr World Environ 2023;18(2). DOI:http://dx.doi.org/10.12944/CWE.18.2.34

Copy the following to cite this URL:

Thaniem M, Prakash A, Muniasamy M, Eeshwar R, Sundarabalan P. Assessment of Trace Element Concentrations in Groundwater Sources of a Rural Village in Kerala, India. Curr World Environ 2023;18(2).


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Article Publishing History

Received: 2023-03-07
Accepted: 2023-07-07
Reviewed by: OrcidOrcidLifei Wang
Second Review by: OrcidOrcidMaheswari Sundararaman
Final Approval by: Dr. Wilkister Nyaora Moturi

Introduction

水是所有生物体的重要组成部分. For a number of reasons, mankind needs access to a reliable source of groundwater1.In India, groundwater is a crucial natural resource for irrigation and drinking. Both urban and rural regions mostly rely on groundwater as their source of drinking water.India is already experiencing the effects of the impending global freshwater crisis in terms of water quantity and quality.The use of groundwater has expanded along with the population.Since it is directly related to human welfare, water quality is a crucial problem for humanity. Poor groundwater quality can be detrimental to both human health and plant growth2.The physicochemical features of water quality are becoming significantly influenced by human activities and it is extreme in emerging nations worldwide. The usage of physicochemical can be uniform throughout the text with either feature or properties. The physico-chemical properties of water are changed not just by anthropogenic influence but also by other natural factors3.

Groundwater pollution from trace metals is a significant environmental issue that requires considerable attentionthat could be hazardous to both human and ecological well-being4.Since the heavy metals are harmful even at low concentrations and are disseminated into the water column by both natural and manmade processes, heavy metals are a significant class of environmental contaminants5.Due to their toxicity, persistence, and bioaccumulation traits, among other environmental pollutants, heavy metals have the worst effects on both the aquatic ecosystem and drinking water.

There is no literature available on the specified research problem and hence an attempt is made to close the gap. The amounts of heavy metals in drinking and irrigation water must be continuously checked, and this gap must be closed. The spatial distribution of heavy metals and the possible harm to human health from groundwater contamination during the pre-monsoon season are explored in the current study. Thus, this is a pioneering attempt in identifying the potential heavy metal types that are accumulated at an alarming level as it has yielded some baseline information. The study is primarily focused with the following objective.

To document the different types of heavy metals.

To identify the possible harm to human health from the source samples collected during pre-monsoon time.

Materials and Methods

Study Area

‘Villiappally’ a grama-panchayath lies in Kozhikode district, Kerala, Southern India (11°37'32" north and 75°37'46" east). Details about the research region are provided in table No. 1 and depicted in figure 1. The location of the village, which has a population of 31,763 people (Census 2001). It has an area of 17.35 sq. km (Census 2001). Geologically, the study area comprises of migmatite complex with hornblende formation. The physiographic divisions of the Kozhikode district, from west to east, are: coastal plain - low land, mid land, and high land - mountainous terrain, according to the survey report created by the department of mining and geology in 2016. The Villiappally grama-panchayath located in the mid land of Kozhikode district. The height of the midland region ranges from 7.6 to 76 metres. Groundwater is found in the weathered, fractured, crystalline, and alluvial formations in the district6. Depth to water varies from 5 to 20 metres below ground level in an area covered by thick laterite. According to central ground water board monitoring wells, the average ground water level in Villiappally gramapanchayath in 2018–19 is 6.72 metres7.

Twenty-two public dug wells from 19 wards of panchayath that are used by the local people for drinking, sanitation and other daily needs are selected as sample site in this study.

Table 1: Coordinates and elevation of sampling site. (Garmin Gpsmap 64s)

Sample No: Coordinates Elevation (m)
DW-1

N 11°37´34.22´´, E 075°38´23.77´´

9

DW-2

N 11°37´28.28´´, E 075°38´04.53´´

61

DW-3

N 11°37´44.91´´, E 075°38´52.73´´

14

DW-4

N 11°37´28.29´´, E 075°38´53.28´´

15

DW-5

N 11°37´18.82´´, E 075°39´07.46´´

10

DW-6

N 11°37´14.26´´, E 075°38´36.22´´

11

DW-7

N 11°36´47.44´´, E 075°38´07.17´´

19

DW-8

N 11°36´51.64´´, E 075°38´18.62´´

17

DW-9

N 11°37´40.96´´, E 075°37´29.12´´

14

DW-10

N 11°37´12.86´´, E 075°36´58.65´´

35

DW-11

N 11°37´01.19´´, E 075°36´40.85´´

33

DW-12

N 11°37´00.39´´, E 075°36´32.41´´

15

DW-13

N 11°36´32.54´´, E 075°37´34.38´´

36

DW-14

N 11°36´20.86´´, E 075°37´59.33´´

19

DW-15

N 11°35´16.03´´, E 075°37´48.45´´

11

DW-16

N 11°35´16.87´´, E 075°37´15.46´´

9

DW-17

N 11°35´21.49´´, E 075°37´14.00´´

10

DW-18

N 11°35´25.95´´, E 075°37´05.97´´

14

DW-19

N 11°34´56.60´´, E 075°36´50.52´´

18

DW-20

N 11°35´52.91´´, E 075°37´04.72´´

22

DW-21

N 11°35´36.54´´, E 075°38´19.33´´

32

DW-22

N 11°35´30.04´´, E 075°38´25.47´´

21

Figure 1: Spatial Representation: Map of the Research Region.

Click here to view Figure

Preservation and Sampling Approaches for Groundwater Analysis.

In the study area, groundwater samples were taken from 22 public dug wells between May and June 2022. A portable global positioning system device (GARMIN GPSMAP 64S) was used to record the latitude, longitude, and elevation of each groundwater sampling site while samples were being taken. Purging was done for 5 to 10 minutes before samples were taken. The samples were obtained in high density polyethylene containers measuring 1 litre that were rinsed three to four times with the appropriate sample prior to sampling. Whatman 0.45 m filter paper was used to filter the samples. In a lab setting, ultrapure HNO3 was used to maintain the pH of the samples that were collected. The samples were then correctly labelled with water-resistant markers and transported to the lab in ice box8. The samples were preserved in a deep freezer maintaining below 4 °C temperature for further analysis.

Heavy metal analysis

Using ICP-MS (PerkinElmer NexION 300X), the samples were analyzed for presence of the trace elements Al, As, Cd, Fe, Pb, and Zn. For the precise quantitative evaluation of trace elements in water samples, a multi-standard calibration procedure was employed, utilizing an internal standard approach with a 22-metal standard provided by PerkinElmer. In preparation for ICP-MS analysis, the collected water samples were diluted to 10 mL by adding 1.0 mL of the sample to 0.3 percentage ultrapure nitric acid. Each sample were tested in triplicate, and the resulting data from ICP-MS analysis included the Standard Deviation and Relative Standard Deviation.

Heavy Metal Pollution Index (HPI)

The assessment of contamination levels in water samples involved the utilization of the Heavy Metal Pollution Index (HPI). The pollution index was employed to evaluate the cumulative impact of each heavy metal on the overall water quality and its suitability for human consumption. Calculating the heavy metal pollution index involved a two-step process: selecting the pollution parameters as the foundation of the index and developing a grading scale for each quality characteristic while assigning parameter weights using a weighted arithmetic mean technique110,11.

Where n represents the number of parameters under consideration, Qi denotes the sub-index of the ithparameter, and Wi signifies its unit weight. As a result, the sub-index of the parameter (Qi) is defined by

Mi represents the observed trace element, while Ii and Si (table:2) denote the ideal and standard values of the ithparameter, respectively. However, it is worth noting that the distinction between Mi and Ii overlooked the algebraic sign in the negative12. The Si and li values were obtained from the standard value set by BIS 2012.13

Table 2: Comparative table, showing the ideal limit and the standard permissible limit of selected heavy metals under study

Heavy metal

(HM)

Symbol

Standard permissible limit

(Si)

Ideal value

(li)

Aluminium

Al

200

30

Arsenic

As

50

10

Cadmium

Cd

3

0

Iron

Fe

300

0

Lead

Pb

10

0

Zinc

Zn

15000

5000

Source BIS: 201214

Metal index

Metal indices that are used to accurately determine the overall water quality and assess the potential effects of heavy metals on public health15. The Metal Index (MI) is based on a comprehensive trend analysis of the current situation of a resource16. Metal Index is calculated using the formula below:

The mean concentration of each element is denoted as Ci, while the maximum permissible concentration (MAC) represents the allowable limit. In relation to water quality, a higher quantity of a element relative to its specific MAC value indicates poorer water standard. An MI value greater than 1 suggests a degree of caution17.

Table 3: Classification and characteristics according to the Metal Index (Mi) value8、18

Class

Quality

Mi Values

?

Very pure

< 0.3

?

Pure

0.3 to 1

?

Slightly Affected

1 to 2

?

Moderately Affected

2 to 4

?

Strongly Affected

4 to 6

?

Seriously Affected

> 6

Statistical Analysis

Using IBM SPSS 2022 software, a Pearson correlation analysis was done to determine the relationship between the elemental content in ground water samples. The other statistical parameters (Mean, Standard deviation) were done by Microsoft excel 2019 version.

Results

Trace elements concentration in well water

There were no previous records available on the level of trace elemental contamination in the well water of Villiappally gramapanchayath. The results obtained for heavy metal concentration of ground water using ICP-MS are shown in table below and the average concentration of trace elements in all the wells, maximum and minimum range of all heavy metals present and median of all whole data are presented in Table:5. The study area is surrounded by mainly residential, agricultural and barren land. The potential source of pollutants may be from the household wastes, fertilizers and pesticides application in agricultural fields and other landfills in the vicinity. The acquired value of heavy metal concentration is discussed with the standard values proposed by BIS 2012 is shown in table no:2.

Aluminium (Al)

Majority of the samples has been found to have low levels of aluminium. The sample concentration ranges from 7.5 to 17.9 µg/l. Sample site no: DW1, DW2, and DW5 only shows the presence of Aluminium. None of the sample shows the presence of aluminium beyond the level of standard limits. The relatively high quantities of aluminium in groundwater may be due to the metal's dissolution from clays and other alumino-silicate minerals found in soils, sediments, and rocks19.

Arsenic (As)

Chronic exposure to arsenic-contaminated water is known to cause skin sores and cancer20.All of areas showed arsenic without exceeding the BIS 2012 standard limits, with concentrations ranging from 4.71 to 9.74 µg/l in the chosen dug wells. Mean arsenic concentration of all wells is 8.33µg/l whereas DW11 and DW19 shows a negative deviation from mean concentration. The western side of the Villiappally gramapanchayath shows lower arsenic concentration than eastern part.

Cadmium (Cd)

Cadmium is a very hazardous heavy metal even at low quantities. The content of cadmium varies from 1.67 to 8.67 µg/l, with 3 µg/l being the maximum permissible level specified by BIS and 5 µg/l by WHO. DW1, DW2, and DW14 forecast the concentration to be higher than allowed limits by analysing the entire sampling well. The biological half-life of cadmium in the human body is lengthy, ranging from 10 to 33 years. Renal damage caused by prolonged exposure to Cd. Additionally, it interferes with the body's metabolism of calcium, and incidences of lung and prostate cancer have been linked to excessive Cd exposure21.

Iron (Fe)

The widespread presence of iron in groundwater were also studied by the authorities as a serious problem, leading to framing strict guidelines by BIS, which resulted in a lower maximum permissible limit for iron concentration in drinking water from 100 µg/l to 300 µg/l10. The value of iron ranges from 23.74 to 651.43µg/l in the present study with: DW6 and DW15 showing higher concentration of iron (651.4 and 409µg/l) which exceed the limit of BIS. Drinking water with too much iron can encourage the development of iron bacteria, which can block pipes, lessen water flow, and produce an unpleasant odour22.

Lead (Pb)

The amount of lead in groundwater exceeding 10 µg/l is regarded as contaminated or unfit for human consumption by the Bureau of Indian. The ICP-MS analysis doesn't show a single of the samples contained lead which ensures the absence of lead in the study area. Kidney damage and a higher risk of high blood pressure can result from lead accumulation in the kidney and interfering with their ability to function23.

Zinc (Zn)

The presence of zinc in groundwater and surface water may be due to the result of nearby rock formations' sphalerite and smithsonite minerals, which contain zinc, dissolving. The amount of zinc in the water depends on its pH, temperature, and dissolved oxygen content as well as the amount of zinc in the nearby geology24.The acquired value of zinc in different sample site ranges from 7.95 to 54.3µg/l. As compared with other metals and their permissible limit, Zinc is relatively very low in its presence. The levels of zinc in groundwater can vary depending on various factors such as geology, land use, and the presence of other minerals.

Table 4: Concentration of trace elements in µg/l with standard deviation (±) n=3 in the dug wells.

Dug well No:

DW

Aluminium

Arsenic

Cadmium

Iron

Lead

Zinc

(Zn)

DW 1

14.5±3.36

8.5±0.05

7.7±0.04

126.9±27.3

ND*

22.4±1.47

DW2

7.5±3.25

9.6±0.03

8.6±0.02

95.9±11.77

ND*

21.3±0.14

DW 3

ND*

9.4±0.06

2.6±0.03

68.9±1.06

ND*

20.8±0.42

DW 4

ND*

7.3±0.06

3.6±0.00

85.7±3.85

ND*

46.7±0.41

DW 5

17.9±1.14

9.2±0.01

1.6±0.03

179.3±13.3

ND*

32.4±0.59

DW 6

ND*

9.1±0.01

0.6±0.01

651.4±17.8

ND*

14.8±0.25

DW 7

ND*

6.1±0.02

2.6±0.03

41.7±10.73

ND*

10.5±0.16

DW 8

ND*

9.1±0.02

1.6±0.01

49.9±10.13

ND*

29.8±0.92

DW 9

ND*

7.3±0.00

3.6±0.02

148.8±18.7

ND*

7.5±0.05

DW10

ND*

9.1±0.03

0.6±0.02

36.6±3.49

ND*

54.3±0.56

DW11

ND*

5.1±0.01

0.6±0.00

29.4±4.11

ND*

17.3±0.29

DW12

ND*

9.2±0.01

2.6±0.02

139.9±4.66

ND*

29.4±0.08

DW13

ND*

8.8±0.01

0.6±0.02

36.7±4.28

ND*

17.4±0.26

DW14

ND*

8.7±0.01

4.6±0.01

23.7±8.05

ND*

26.3±0.64

DW15

ND*

8.9±0.05

1.6±0.00

409±9.81

ND*

12.1±0.22

DW16

ND*

7.9±0.02

0.6±0.02

37.9±2.46

ND*

10.0±0.07

DW17

ND*

9.1±0.01

1.6±0.02

120.4±11.8

ND*

28.2±0.25

DW18

ND*

8.8±0.07

2.6±0.02

41.9±2.99

ND*

17.5±0.13

DW19

ND*

4.1±0.04

1.6±0.04

34.3±7.42

ND*

18.2±0.42

DW20

ND*

8.9±0.01

0.6±0.03

73.5±19.83

ND*

31.1±0.88

DW21

ND*

8.8±0.05

0.6±0.00

45.9±8.79

ND*

24.9±0.04

DW22

ND*

9.7±0.03

0.6±0.03

70.3±9.85

ND*

14.3±0.12

DW*: Dug well, ND*: Not detected

Table 5 : Average range of trace elements concentrations across all samples, measured in g µg/l.

Parameter

Aluminium

Arsenic

Cadmium

Iron

Lead

Zinc

Mean

1.779090909

8.335909091

2.391363636

115.8309091

0

23.03

Median

0

8.86

1.67

69.655

0

20.69

Max Value

17.09

9.74

8.67

651.43

0

54.3

Min Value

0

4.71

0.65

23.74

0

7.95

HPI

Heavy metal pollution index (HPI) carried out for each well by using the concentration of metals received from ICP-MS analysis. The analysed heavy metal pollution index shows an order of pollution: DW13 < DW21 < DW9 < DW22 < DW11 < DW20 < DW16 < DW6 < DW5 < DW8 < DW15 < DW17 < DW19 < DW18 < DW12 < DW7 < DW3 < DW10 < DW4 < DW14 < DW1 < DW2. According to the HPI, the dug wells DW2, DW1 and DW14 is not suitable for consumption as it is showing the value of HPI > 100 (figure:2).

Figure 2: Calculated HPI value of each well water (Red gridline:>100 HPI- Not fit for consumption.

Click here to view Figure

Metal index

The wells are classified in to different classes according to their metal concentration by using metal index (table:6). The metal index categorises DW8, DW9, DW13, DW19, DW20, DW21, and DW22 as pure, DW18, DW17, DW14, DW12, DW10, DW7, DW5, DW4, and DW3 as slightly influenced, and DW1, DW2, DW6, and DW15 as moderately affected.

Table 6 classification of dug wells according to their metal index value

Metal Index (Mi)

Classification

Sample Dug well No

?ci/MAC (Mi Value)

Class ?- Very pure

-

-

Class ?- Pure

8

0.907238667

9

0.52582

11

0.418835333

13

0.516716

16

0.51262

19

0.769774667

20

0.648720667

21

0.547479333

22

0.650175333

Class ?- Slightly

affected

3

1.317538667

4

1.658911333

5

1.422772667

7

1.152016667

10

1.850063333

12

1.538949333

14

1.812342

17

1.143654667

18

1.186423333

Class ?-Moderately affected

1

3.234252667

2

3.441286667

6

2.575285333

15

2.090420667

类? -强烈影响

-

-

Class ?- Seriously affected

-

-

Table 7: Pearson correlation analysis of each element in the sample.

Al

As

Cd

Fe

Zn

Al

1

As

.196

1

Cd

.498*

.093

1

Fe

.074

.245

-.085

1

Zn

.114

.230

-.011

-.213

1

Correlation Analysis

铝和镉有非常弱阳性link. Aluminium and cadmium have similar chemical properties, such as their ability to form complexes and bind to other compounds. This could lead to a correlation between the two metals in groundwater samples. Contamination from common sources could also be a possible reason for correlation. The correlation between aluminium and cadmium in groundwater can be complex and may involve multiple factors. Further research is needed to determine the specific reasons for the observed correlation.

Conclusion

该研究强调常规w的重要性ater quality monitoring in rural regions and the requirement to take action to prevent water source pollution. In the current research, a total of 22 groundwater samples from Villiappally gramapanchayath, located in Kozhikode district, Kerala, were analyzed for the presence of heavy metals. The results of the study suggest the need for immediate action to address the problem of heavy metal contamination in rural water sources. This may be accomplished by adopting suitable treatment procedures in place, regularly checking the quality of the water, and educating the local community about the hazards of trace elemental pollution in water. The results of this study can potentially be used as a foundation for future investigations into the causes and processes of heavy metal pollution in rural groundwater.

Acknowledgement

The author would like to express the deepest gratitude to all those who have contributed to the completion of this research work. It would like to thank the research supervisor Dr.M.

Muniasamy for their unwavering support, guidance, and valuable feedback throughout the entire research process. It is also grateful to Bharathiar university for providing me with the

necessary resources and facilities to carry out this research work.

Funding Sources

The author(s) received no financial support for the research, authorship, and/or publication of this article.

Conflict of Interest

The authors do not have any conflicts of interest.

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