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Journal of Earth Science & Climatic Change
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  • Research Article   
  • J Earth Sci Clim Change 15: 773, Vol 15(2)

Impact of Seawater Intrusion on Groundwater in Kanchipuram District, Tamil Nadu Coastal Area

Soujanya Jonnalagadda*, Gokulan Ravindiran, Lokesh Reddy, Venkat Revanth, Sharj and Mahesh Babu
Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, India
*Corresponding Author: Soujanya Jonnalagadda, Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, India, Email: soujanya_j@vnrvjiet.in

Received: 02-Feb-2024 / Manuscript No. jescc-24-128783 / Editor assigned: 05-Feb-2024 / PreQC No. jescc-24-128783 / Reviewed: 19-Feb-2024 / QC No. jescc-24-128783 / Revised: 24-Feb-2024 / Manuscript No. jescc-24-128783 / Published Date: 29-Feb-2024

Abstract

Saltwater intrusion is a global issue that affects the coastal areas worldwide. Due to this intrusion it will affects the growth of crops, soil fertility and human health. Current study estimates parameters such as Water Quality Index(WQI), Human Health Risk Assessment(HHRA), Seawater Mixing Index(SMI) and Irrigation efficiency(IE) in order to examine the ground water quality of Kanchipuram district, Tamil Nadu coastal area. A total of 60 sampling stations were taken to examine ground water quality. For the ground water analysis the physicochemical parameters were taken into the account. Q-GIS have been used in mapping the sampling locations and affected areas. For WQI out of 60 stations, it was observed that around 30% of groundwater is above good quality and around 42% is very poor and not suitable for consumption. The WQI states that groundwater in Kanchipuram district was moderately polluted. SMI was also calculated, it was observed that out of 60 stations SMI values of 23 stations were above 1 i.e, in 38% of stations SMI value was observed to be high. Also calculated HHRA, it was observed in 13 % of stations fluoride content is greater than 1 in children. The analysis shows that children's average fluoride content is higher than adults. Irrigation Indices concludes that 65% of sampling stations  having SAR values greater than 10 mEq/L  and 58 stations having Na% less than 80 percent.

Keywords:    

Keywords

WQI, HHRA; Seawater Mixing Index; Saltwater intrusion

Introduction

Water is one of the vital natural resources in our daily life. Water is used for various purposes like domestic, industrial and agriculture. Humans mainly depends on the groundwater to fulfill their basic needs [1]. Due to increase in population and industrialization the usage of groundwater is increasing day by day. The water bodies were under danger situation due to rapid increase in population and also urbanisation, this automatically leads to use of chemicals in irrigation in order to get more yield which eventually causes contamination of water by surface runoff. In coastal areas, the excess usage of groundwater leads to difference in sea level which results in intrusion of seawater on groundwater, so there is a risk of contamination of groundwater [2]. The migration of saltwater into freshwater aquifers as a result of human or natural activity is known as seawater intrusion. The seawater intrusion decreases the storage capacity of groundwater and also in some cases it leads to abandonment of wells. Areas which are adjacent to coastal waters are having more risk of seawater intrusion [3]. It is a serious issue that affects coastal aquifers globally. Reductions in groundwater levels or elevations in seawater levels can result in seawater intrusion. A cone of depression is created in the aquifer when freshwater is pumped out quickly, lowering its height. In a conical ascent, the sea level increases 40 feet for every foot of freshwater depression. Saltwater intrusion into freshwater bodies affects the soil condition, vegetation, and water quality it seems as a global problem. Higher concentration of chlorides in water is unfit for drinking and industrial activities, higher concentrations of sodium ions in water can lead to high blood pressure in humans [4]. To assess the groundwater quality various parameters were determined. The most effective way to evaluate the quality of ground water is WQI. We computed the Seawater Mixing Index (SMI) to figure out how ground water is affected by seawater intrusion. Due to consumption of this polluted groundwater and also through agricultural activities like usage of excessive fertilizers and unsanitary conditions human health is at risk. To examine the fluoride content in both adults and children Human Health Risk Assessment (HHRA) was calculated. Intruded groundwater can have a negative impact on irrigation indices. To know the effect on irrigation we had also calculated the Irrigation Indices(II) [5]. The present study was undertaken in Kanchipuram district(12.8185° N, 79.6947° E) located at northern east coast of Tamil Nadu. Kanchipuram district covers a total area of 1448 Sq.Kms, where 87.2km is the coastal length. It has a normal rainfall of 1200-1300mm. The river basins of the Palar, Araniyar & Kosasthalaiyar, and Thondiar, are utilized for irrigation and drinking purposes. This study’s primary goal is to determine the groundwater quality in different blocks of Kanchipuram district and also mapping the results using Q-GIS.

Materials and Methods

Study area : Figure 1 illustrates The Kancheepuram district's study area is near Chennai city and located on Tamil Nadu's northern east coast. The district has a total area of 1448 Sq.Kms. It lies between 11° 00' to 12° 00' latitudes and 77° 28' to 78° 50' longitudes. The maximum and minimum temperatures of Kanchipuram district are during summer 38.5°C (101.3°F) , 29.1°C (84.4°F) and during winter 27.7°C (81.9°F), 19.0°C (66.2°F). The maximum rainfall of 9.8 inches occurs in October and the least amount of rainfall occurs in February with average of 0.4 inches. The average humidity conditions range from 73 to 90%.The research was conducted using 60 groundwater samples that were collected all over the Kanchipuram district. The samples were tested by Central Groundwater Board of India (CGWB) (Table 1).

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Figure 1: Location of sampling stations of Kanchipuram district, Tamil Nadu, India.

S. No Sampling location Latitude Longitude
1 Acharapakkam 12.4064 79.8133
 2 Agaram 12.8898 80.143
3 Akkarai 12.902 80.2494
4 Anakaputhur 12.9827 80.1286
5 Arasanimangalam 12.5689 79.7233
6 Athur 12.4064 79.8133
7 Baluchettychatram 10.4633 77.79
8 Chemmancheri 12.8633 80.2261
9 Chenglepet 12.6744 79.9769
10 Chitlapakkam 12.9403 80.1378
11 Chrompet 12.95 80.1338
12 Chunambedu 12.2669 79.9844
13 Chunamedu 12.2586 79.9028
14 Girugambakkam 13.0153 80.1366
15 Guduvancheri 12.8439 80.0622
16 Hastinapuram 12.9431 80.1476
17 Kancheepuram 12.8336 79.7025
18 Kattankalathur 12.8083 80.0297
19 Kattur-Pz 12.5708 80.9749
20 Kilkattalai 12.9574 80.1785
21 Kolapakkam 12.8687 80.1101
22 Kolathanallur 12.3506 79.9014
23 Kundrathur 12.998 80.0936
24 Madambakkam 12.9008 80.1615
25 Madurantagam 12.5028 79.8761
26 Mahabalipuram 12.6158 80.1925
27 Mangadu 13.0342 80.1085
28 Manimangalam 12.919 80.0424
29 Mannivakkam 12.8922 80.8019
30 Meenambakkam 12.9855 80.1784
31 Mudichur 12.8943 80.0645
32 Muthukadu 12.8125 80.2433
33 Nagalkani 12.9576 80.1261
34 Nandambakkam 13.0106 80.196
35 Nedunkundram 12.8833 80.1106
36 Paddapai (Pz) 12.8898 80.022
37 Pallavaram 12.9814 80.156
38 Pallavaram pz 12.9725 80.1543
39 Pallikaranai (Pz) 12.9263 80.1979
40 Panruti Kandigai 12.8506 79.9119
41 Perungulathur 12.9173 80.0856
42 Ponmar 12.8338 80.1667
43 Ponmar (Pz) 12.8556 80.1693
44 Porur 13.0338 80.1569
45 Rettamangalam 12.63 79.8336
46 Sadras 12.5269 80.1622
47 Shollinganallore 12.9037 80.233
48 St.Thomas Mount 13.0071 80.1976
49 Tambaram 12.931 80.1166
50 Thirumukkudal 12.7564 79.8592
51 Thiruporur (Pz) 12.72 80.1852
52 Tirukalukundram 12.6061 80.056
53 Tiruneermalai 12.9628 80.1132
54 Tiruporur 12.7318 80.1891
55 Uthandi 12.86 80.2417
56 Uthikadu 12.8267 79.8211
57 Uthiramerur 12.6117 79.7344
58 Vadakkupattu 12.8117 79.9425
59 Vadekkal (Palnallur) 12.9036 79.9139
60 Vengaivasal 12.9004 80.1711

Table 1: Latitude and Longitude details of sampling locations.

Water Quality Index (WQI): WQI provides the overall quality of the water for any intended purpose by expressing the water’s quality as an index number. For calculation of WQI physicochemical parameters of water are taken into consideration [6,7]. Based on WQI the water quality is classified as Excellent (0-25) , Good (26-50) , Poor (51-75) , Very Poor (76-100) and Unfit (>100).

image

image

Where,

– is the quality rating of each water quality parameter;

– is the unit weight of each water quality parameter;

– is the actual concentration of each water quality parameter;

– is the constant value of each parameter (for pH it is 7 and for remaining all it is zero);

K – is the proportionality constant;

– is the standard permissible value of each water quality parameter.

Seawater Mixing Index (SMI): The SMI is proposed by Park and Aral and it is used to estimate the relative index of saltwater mixing with fresh water.

The concentration of Na+, Mg+, C, Sare used to calculate the sea water mixing index. It had been calculated using the following equation.

image

Where, Constants a, b, c and d denotes a relative proportion of Na+, Mg+, C, Srespectively, there values are (a = 0.31,b = 0.04, c = 0.57, d = 0.08), T is the regional threshold values and C is the calculated Concentration of groundwater samples. The threshold value is obtained by drawing the graph between the sampling stations vs cumulative probability.

Human Health Risk Assessment (HHRA): Nitrate and fluoride are the two most pervasive contaminants found in groundwater that can be harmful to human health (Table 2). Worldwide reports of nitrate contamination in shallow groundwater, particularly in agricultural areas, are on the rise [8-10].

Description IR
(L/day)
EF
(day/year)
ED
(year)
BW
(kg)
AT
(day)
SA
(cm2)
ET
(h/day)
Adults 2 350 40 70 14,000 18,000 0.58
Children’s 0.78 350 4 15 1,400 6,600 1

Table 2: HHRA Standards for the calculation of HI of fluoride.

image

Where

– is the actual concentration of water quality parameter in the water (mg/L);

IR – is the ingestion rate (L/day);

EF – is the exposure frequency (day/year);

ED – is the exposure duration in years;

BW – is the average body weight (kg);

AT – is the average time (days);

ET – is the exposure time (h/day);

SA – is the average surface area of the skin exposed to water in ;

– is the coefficient of water for dermal activity ( 0.001 for ,,and ).

– is the average daily exposure dose through ingestion (ing);

– is the average daily exposure dose through dermal (der);

RfD – is the reference dose of water quality parameters in mg/kg/day (is 0.06 and is 1.6);

– is the Hazard Quotient of ingestion ;

– is the Hazard Quotient of dermal;

HI – is the Hazard Index.

Irrigation Indices (II): In order to know the irrigation indices the following were calculated Sodium Adsorption Ratio(SAR), percentage of Na, Magnesium Adsorption Ratio(MAR), Permeability Index(PI) and Kelly’s Ratio(KR) [11-14].

image

Results and Discussion

The presence of higher amounts of cations and anions results in seawater intrusion. As we can clearly observe that most of the sampling locations are having higher concentrations of anions and cations.

The above physico-chemical parameters shows that TDS values varies from 266 mg/L to 5213 mg/L. As per BIS standards 10 samples are less than 500 mg/L.

The pH values varies from 6.9 to 7.9. All the 60 samples are below the desired limit (pH:6.5-8.5).

Total hardness values varies from 70 mg/L to 2780 mg/L. The desired limit is 300mg/L. 16 samples are in desired limit as per standards (Table 3).

Sample pH TDS F Cl SO4 TH Na K Ca Mg NO3
1 7.81 663 1.04 142 3 390 37 1 84 44 1
2 7.4 634 0.49 192 8 350 59 2 76 39 2
3 7.48 554 0.12 121 46 310 54 17 52 44 57
4 6.9 1004 1.4 206 5 400 145 45 78 36 157
5 7.1 748 0.52 145 60 380 64 1 100 32 70
6 7.2 924 1.15 248 50 450 99 1 64 70 40
7 7 1307 0.29 347 70 450 160 5 92 53 30
8 7.45 497 0.37 114 108 190 69 40 20 30 34
9 7.9 482 0.94 191 3 190 89 8 56 12 32
10 7.42 323 0.17 60 16 165 35 1 23 23 50
11 7.09 1145 0.91 312 29 530 169 4 76 83 7
12 7 880 0.41 305 50 460 72 0 120 39 45
13 7.11 315 0.4 28 2 160 36 0 32 19 21
14 7 1102 1.13 277 70 450 163 11 112 41 1
15 7.15 884 0.69 220 10 420 90 26 110 24 99
16 7.2 768 0.55 178 35 400 89 3 76 51 9
17 7.8 2555 1.76 596 8 140 722 23 32 15 72
18 7.7 535 0.59 113 6 310 37 3 56 41 38
19 7.7 391 0.81 85 42 270 20 6 60 29 6
20 7.4 1050 0.55 305 78 460 153 4 120 39 39
21 7.38 1186 0.64 312 73 480 199 2 116 46 98
22 7.64 625 0.9 163 6 250 104 2 44 34 19
23 7.2 865 1.21 241 44 350 127 3 112 17 27
24 7.38 1274 0.78 369 44 490 214 3 104 56 26
25 7.38 837 0.36 156 5 390 78 5 136 12 38
26 7.55 288 0.59 57 54 190 17 6 24 32 3
27 7.1 1178 0.8 298 66 460 184 14 128 34 85
28 7.54 1365 0.97 277 40 330 169 268 92 24 146
29 7 660 0.38 160 56 370 37 2 76 44 35
30 7.47 672 0.63 156 64 340 87 1 80 34 27
31 7.4 1112 0.37 291 52 430 182 21 140 19 65
32 6.96 1417 0.32 540 186 380 304 15 60 56 6
33 7.12 1097 0.42 348 7 350 226 3 68 44 1
34 7.3 593 0.93 146 35 230 93 15 64 17 16
35 7.1 790 0.63 160 90 370 82 0 72 46 35
36 7.33 1229 0.48 391 48 690 126 4 132 88 49
37 7.27 1359 0.89 391 106 510 217 2 132 44 40
38 7.56 757 0.82 213 47 420 72 1 108 36 16
39 7.25 1138 0.25 369 49 580 133 3 176 34 22
40 7.3 376 0.5 82 30 70 72 0 12 10 10
41 7.32 1749 1.11 518 71 440 402 4 80 58 53
42 7.52 591 0.2 170 35 340 52 5 64 44 2
43 7.5 686 0.54 163 31 350 81 3 58 46 62
44 7.1 881 1.21 213 21 370 123 2 88 36 2
45 7.1 546 0.99 57 30 230 54 0 76 10 25
46 7.82 863 0.7 178 122 460 90 21 128 34 73
47 7.51 2022 1.12 696 328 340 467 102 68 41 112
48 7 1242 1.32 320 78 540 184 1 144 44 59
49 7.26 629 0.54 149 25 310 83 4 72 32 58
50 7.2 416 0.33 71 35 160 72 4 28 22 37
51 7.59 947 0.84 220 144 360 158 7 56 54 5
52 7.7 298 0.51 85 34 180 23 8 24 29 8
53 7.15 583 0.12 156 9 270 65 31 68 24 13
54 7.86 1065 1.25 213 160 280 255 9 24 54 48
55 7.47 266 0.53 64 59 140 25 8 20 22 13
56 7 1697 1.7 440 98 780 65 89 240 44 110
57 7.12 5213 1.04 2382 9 2780 457 0 576 326 68
58 7.1 624 0.36 106 25 310 40 1 72 32 41
59 7.1 2002 0.77 638 155 440 398 29 64 68 25
60 7.29 1742 0.52 504 88 780 239 20 164 90 21

Table 3: Physical and chemical characteristics of water samples from the Kanchipuram district (pH is the only unit not in mg/L).

As per BIS standards the desired limit for fluoride is 1.5mg/L and nitrate is 45 mg/L. For fluoride sample 17 and 56 are not within the limits.

Water Quality Index (WQI): In general the water quality depends upon the values of iron, manganese and arsenic. Increase in these values indicates decrease in its quality. Water quality index values ranges from 21 to 233. Out of 60 samples, 13 samples have exceeded the desired limit of drinking water as per BSI standards (Figure 2).

earth-science-climatic-change-Geographical

Figure 2: Geographical distribution map of Water Quality Index (WQI) of Kanchipuram district.

For WQI if the value is greater than 100 it is unfit for consumption, out of 60 stations 13 stations recorded are unfit for consumption,12 stations are very poor and 17 stations are poor. we observed that manimangalam (station 28) has a highest value of 233 which is greater than 100, Uthikadu has 193, Shollinganallore has 157 and many more. These are unfit for drinking because that area covered by many dyeing factories. Whereas places like Chitlapakkam have WQI value of 21 comes under excellent category. This area has no risk of mixing water from sea. From Fig.2 it is clear that the Kanchipuram district, Tamil Nadu was moderately polluted (Figure 3).

earth-science-climatic-change-values

Figure 3: WQI values of different sampling stations of Kanchipuram District.

Seawater Mixing Index (SMI): The threshold values obtained from the graph (Actual frequency vs Concentration) are Na =93mg/L , Mg=44mg/L ,Cl =440mg/L , SO4 =50mg/L. From results obtained the SMI values varies from 0.18 to 4.92.

Generally, SMI value >1 signifies that the seawater is mixing with the groundwater. Out of total ,38% of the sampling stations namely Uthiramerur(4.92), Kancheepuram(3.21), Muthukadu(2.06) has SMI values above 1 are affected by seawater intrusion . Majorly seawater intrusion in that area causes due to climatic conditions, hydraulic gradient, rate of groundwater extraction and sea level rise. The people of Kanchipuram district uses more groundwater during summer this results in the decrease of groundwater table and due to this seawater intrusion takes place (Figure 4,5).

earth-science-climatic-change-distribution

Figure 4: Geographical distribution map of Seawater Mixing (SMI) of Kanchipuram district.

earth-science-climatic-change-sampling

Figure 5: SMI values of different sampling stations of Kanchipuram District.

Human Health Risk Assessment (HHRA) for fluoride: From above HHRA we conclude that fluoride content in children is greater than adults. For adults the HI concentrations is less than 1 in all sampling stations, as fluoride content is not having much impact on adults. For adults the HI concentrations of Fluoride varied from 0.06 to 0.81 has an Average=0.37 and Children varied from 0.104 to 1.538 has an Average=0.69. Kancheepuram (station 17) area has high fluoride content in children (1.54). The main reason behind this is by consumption of these groundwater fluoride content is having much impact on children than compared to adults. 8 stations having HI value greater than 1 in children (Figure 6-8). The samples analysed from the research area has high fluoride content in children ranging from 0.1 to 1.53. From results it shows that most of the samples having high fluoride content in children than the permissible limits. Due to the excessive fluoride content present in groundwater can cause dental problems, bone damage, joint-related problems, change of colour of teeth (Table 4).

earth-science-climatic-change-map

Figure 6: Geographical distribution map of Human Health Risk Assessment (HHRA) for adults of Kanchipuram district.

earth-science-climatic-change-Human

Figure 7: Geographical distribution map of Human Health Risk Assessment (HHRA) for children of Kanchipuram district.

earth-science-climatic-change-Health

Figure 8: Human Health Risk Assessment (HHRA) of Kanchipuram district.

Station Fluoride (Adult’s) Fluoride (Children)
ADDing ADDder HQing HQder HI ADDing ADDder HQing HQder HI
1 0.02971 0.00016 0.50 0.0026 0.4978 0.90133 0.00763 0.90 0.0076 0.90896
2 0.01400 0.00007 0.23 0.0012 0.2346 0.42467 0.00359 0.42 0.0036 0.42826
3 0.00343 0.00002 0.06 0.0003 0.0574 0.10400 0.00088 0.10 0.0009 0.10488
4 0.04000 0.00021 0.67 0.0035 0.6701 1.21333 0.01027 1.21 0.0103 1.22360
5 0.01486 0.00008 0.25 0.0013 0.2489 0.45067 0.00381 0.45 0.0038 0.45448
6 0.03286 0.00017 0.55 0.0029 0.5505 0.99667 0.00843 1.00 0.0084 1.00510
7 0.00829 0.00004 0.14 0.0007 0.1388 0.25133 0.00213 0.25 0.0021 0.25346
8 0.01057 0.00006 0.18 0.0009 0.1771 0.32067 0.00271 0.32 0.0027 0.32338
9 0.02686 0.00014 0.45 0.0023 0.4500 0.81467 0.00689 0.81 0.0069 0.82156
10 0.00486 0.00003 0.08 0.0004 0.0814 0.14733 0.00125 0.15 0.0012 0.14858
11 0.02600 0.00014 0.43 0.0023 0.4356 0.78867 0.00667 0.79 0.0067 0.79534
12 0.01171 0.00006 0.20 0.0010 0.1963 0.35533 0.00301 0.36 0.0030 0.35834
13 0.01143 0.00006 0.19 0.0010 0.1915 0.34667 0.00293 0.35 0.0029 0.34960
14 0.03229 0.00017 0.54 0.0028 0.5409 0.97933 0.00829 0.98 0.0083 0.98762
15 0.01971 0.00010 0.33 0.0017 0.3303 0.59800 0.00506 0.60 0.0051 0.60306
16 0.01571 0.00008 0.26 0.0014 0.2633 0.47667 0.00403 0.48 0.0040 0.48070
17 0.05029 0.00026 0.84 0.0044 0.8425 1.52533 0.01291 1.53 0.0129 1.53824
18 0.01686 0.00009 0.28 0.0015 0.2824 0.51133 0.00433 0.51 0.0043 0.51566
19 0.02314 0.00012 0.39 0.0020 0.3877 0.70200 0.00594 0.70 0.0059 0.70794
20 0.01571 0.00008 0.26 0.0014 0.2633 0.47667 0.00403 0.48 0.0040 0.48070
21 0.01829 0.00010 0.30 0.0016 0.3064 0.55467 0.00469 0.55 0.0047 0.55936
22 0.02571 0.00013 0.43 0.0022 0.4308 0.78000 0.00660 0.78 0.0066 0.78660
23 0.03457 0.00018 0.58 0.0030 0.5792 1.04867 0.00887 1.05 0.0089 1.05754
24 0.02229 0.00012 0.37 0.0019 0.3734 0.67600 0.00572 0.68 0.0057 0.68172
25 0.01029 0.00005 0.17 0.0009 0.1723 0.31200 0.00264 0.31 0.0026 0.31464
26 0.01686 0.00009 0.28 0.0015 0.2824 0.51133 0.00433 0.51 0.0043 0.51566
27 0.02286 0.00012 0.38 0.0020 0.3829 0.69333 0.00587 0.69 0.0059 0.69920
28 0.02771 0.00014 0.46 0.0024 0.4643 0.84067 0.00711 0.84 0.0071 0.84778
29 0.01086 0.00006 0.18 0.0009 0.1819 0.32933 0.00279 0.33 0.0028 0.33212
30 0.01800 0.00009 0.30 0.0016 0.3016 0.54600 0.00462 0.55 0.0046 0.55062
31 0.01057 0.00006 0.18 0.0009 0.1771 0.32067 0.00271 0.32 0.0027 0.32338
32 0.00914 0.00005 0.15 0.0008 0.1532 0.27733 0.00235 0.28 0.0023 0.27968
33 0.01200 0.00006 0.20 0.0010 0.2010 0.36400 0.00308 0.36 0.0031 0.36708
34 0.02657 0.00014 0.44 0.0023 0.4452 0.80600 0.00682 0.81 0.0068 0.81282
35 0.01800 0.00009 0.30 0.0016 0.3016 0.54600 0.00462 0.55 0.0046 0.55062
36 0.01371 0.00007 0.23 0.0012 0.2298 0.41600 0.00352 0.42 0.0035 0.41952
37 0.02543 0.00013 0.42 0.0022 0.4260 0.77133 0.00653 0.77 0.0065 0.77786
38 0.02343 0.00012 0.39 0.0020 0.3925 0.71067 0.00601 0.71 0.0060 0.71668
39 0.00714 0.00004 0.12 0.0006 0.1197 0.21667 0.00183 0.22 0.0018 0.21850
40 0.01429 0.00007 0.24 0.0012 0.2393 0.43333 0.00367 0.43 0.0037 0.43700
41 0.03171 0.00017 0.53 0.0028 0.5313 0.96200 0.00814 0.96 0.0081 0.97014
42 0.00571 0.00003 0.10 0.0005 0.0957 0.17333 0.00147 0.17 0.0015 0.17480
43 0.01543 0.00008 0.26 0.0013 0.2585 0.46800 0.00396 0.47 0.0040 0.47196
44 0.03457 0.00018 0.58 0.0030 0.5792 1.04867 0.00887 1.05 0.0089 1.05754
45 0.02829 0.00015 0.47 0.0025 0.4739 0.85800 0.00726 0.86 0.0073 0.86526
46 0.02000 0.00010 0.33 0.0017 0.3351 0.60667 0.00513 0.61 0.0051 0.61180
47 0.03200 0.00017 0.53 0.0028 0.5361 0.97067 0.00821 0.97 0.0082 0.97888
48 0.03771 0.00020 0.63 0.0033 0.6319 1.14400 0.00968 1.14 0.0097 1.15368
49 0.01543 0.00008 0.26 0.0013 0.2585 0.46800 0.00396 0.47 0.0040 0.47196
50 0.00943 0.00005 0.16 0.0008 0.1580 0.28600 0.00242 0.29 0.0024 0.28842
51 0.02400 0.00013 0.40 0.0021 0.4021 0.72800 0.00616 0.73 0.0062 0.73416
52 0.01457 0.00008 0.24 0.0013 0.2441 0.44200 0.00374 0.44 0.0037 0.44574
53 0.00343 0.00002 0.06 0.0003 0.0574 0.10400 0.00088 0.10 0.0009 0.10488
54 0.03571 0.00019 0.60 0.0031 0.5983 1.08333 0.00917 1.08 0.0092 1.09250
55 0.01514 0.00008 0.25 0.0013 0.2537 0.45933 0.00389 0.46 0.0039 0.46322
56 0.04857 0.00025 0.81 0.0042 0.8137 1.47333 0.01247 1.47 0.0125 1.48580
57 0.02971 0.00016 0.50 0.0026 0.4978 0.90133 0.00763 0.90 0.0076 0.90896
58 0.01029 0.00005 0.17 0.0009 0.1723 0.31200 0.00264 0.31 0.0026 0.31464
59 0.02200 0.00011 0.37 0.0019 0.3686 0.66733 0.00565 0.67 0.0056 0.67298
60 0.01486 0.00008 0.25 0.0013 0.2489 0.45067 0.00381 0.45 0.0038 0.45448

Table 4: Different parameters of HHRA for sampling stations.

Irrigation Indices (II)

Sodium Adsorption Ratio (SAR): SAR values of Kanchipuram district varies from 2.99 to 148.94. In general, the SAR value should be less than 10mEq/L. Out of 60 samples, only 20 samples are below the desired limit. These sampling stations has no effect on irrigation whereas remaining 40 stations are unfit for irrigation (Figure 9,10).

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Figure 9: Geographical distribution map of Kanchipuram district for Irrigation Indices (II) based on sodium adsorption ratio (SAR).

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Figure 10: Irrigation Indices (II) of Kanchipuram district based on sodium adsorption ratio (SAR).

Kelly’s Ratio (KR): Kelly’s ratio depends on sodium , magnesium and calcium concentrations. 24 stations are having value greater than 1 which indicates excessive sodium present in the water. So, these stations are unsuited for irrigation (Figure11,12).

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Figure 11: Geographical distribution map of Kanchipuram district for Irrigation Indices (II) based on kelly’s ratio (KR).

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Figure 12: Irrigation Indices(II) of Kanchipuram district based on Kelly’s ratio (KR).

Magnesium Adsorption Ratio (MAR): Higher concentration of magnesium present in the groundwater effects the quality of soil and lowers the crop yield. The desired value for MAR is less than 50 (Figure 13,14).

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Figure 13: Geographical distribution map of Kanchipuram district for Irrigation Indices(II) based on magnesium adsorption ratio (MAR).

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Figure 14: Irrigation Indices (II) of Kanchipuram district based on magnesium adsorption ratio (MAR).

Percentage of Na: Ground water is categorized according to its percentage of Na, which ranges from excellent (<20%) to good (20–40%), acceptable (40–60%), dubious (60–80%), and inappropriate (> 80%). (Khodapanah et al.2009) (Figure 15,16).

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Figure 15: Geographical distribution map of Kanchipuram district for Irrigation Indices (II) based on percentage of Na.

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Figure 16: Irrigation Indices (II) of Kanchipuram district based on percentage of Na.

Permeability Index (PI): From results PI values varies from 30.13 to 98.22. The average value of PI was reported as 54.91.As per desired limits PI value less than 25 unsuited for irrigation.

For the irrigation indices we conclude that out of 60 stations, SAR values of 21 stations is less than 10meq/L, so in those areas the water is fit for irrigation, the crops doesn’t give much yield. Due to the saltwater intrusion these ions will mix up with the ground water (Figure 17,18). This water will carry through the irrigation fields. The water with high SAR content is supply to soil for years, The calcium and magnesium ions in the soil may be replaced by the sodium in the water. The soil's fertility will decline as a result of this.. For the percentage of Na, 98% of stations is less than 80 percent, this water will impact on irrigation crops (Table 5).

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Figure 17: Geographical distribution map of Kanchipuram district for Irrigation Indices (II) based on permeability index (PI).

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Figure 18: Irrigation Indices (II) of Kanchipuram district based on PI.

S. No Sampling Location SAR KR NA MAR PI
1 Acharapakkam 4.63 0.29 22.89 34.38 34.30
2 Agaram 7.78 0.51 34.66 33.91 42.89
3 Akkarai 7.79 0.56 42.51 45.83 46.67
4 Anakaputhur 17.58 1.07 58.66 26.47 59.06
5 Arasanimangalam 7.88 0.48 32.99 24.24 41.48
6 Athur 12.09 0.74 42.74 52.24 50.20
7 Baluchettychatram 18.79 1.10 53.23 36.55 58.47
8 Chemmancheri 13.28 1.28 66.87 62.96 63.90
9 Chenglepet 15.26 1.31 58.79 17.65 63.18
10 Chitlapakkam 7.20 0.72 42.53 52.00 55.32
11 Chrompet 18.95 1.06 52.11 52.20 58.51
12 Chunambedu 8.08 0.45 31.17 24.53 36.63
13 Chunamedu 7.13 0.71 41.38 37.25 58.66
14 Girugambakkam 18.64 1.07 53.21 26.80 58.30
15 Guduvancheri 11.12 0.64 45.82 19.46 45.95
16 Hastinapuram 11.17 0.70 42.01 40.16 50.28
17 Kancheepuram 148.94 15.36 94.07 31.91 98.22
18 Kattankalathur 5.31 0.38 29.20 42.27 39.12
19 Kattur-Pz 3.00 0.22 22.61 32.58 30.13
20 Kilkattalai 17.16 0.96 49.68 24.53 54.91
21 Kolapakkam 22.11 1.23 55.37 28.40 60.64
22 Kolathanallur 16.65 1.33 57.61 43.59 66.14
23 Kundrathur 15.81 0.98 50.19 13.18 56.50
24 Madambakkam 23.93 1.34 57.56 35.00 62.86
25 Madurantagam 9.07 0.53 35.93 8.11 43.25
26 Mahabalipuram 3.21 0.30 29.11 57.14 38.79
27 Mangadu 20.44 1.14 55.00 20.99 58.75
28 Manimangalam 22.19 1.46 79.02 20.69 68.09
29 Mannivakkam 4.78 0.31 24.53 36.67 32.60
30 Meenambakkam 11.52 0.76 43.56 29.82 51.53
31 Mudichur 20.41 1.14 56.08 11.95 59.26
32 Muthukadu 39.92 2.62 73.33 48.28 74.95
33 Nagalkani 30.20 2.02 67.16 39.29 73.02
34 Nandambakkam 14.61 1.15 57.14 20.99 62.75
35 Nedunkundram 10.68 0.69 41.00 38.98 49.73
36 Paddapai (Pz) 12.01 0.57 37.14 40.00 42.17
37 Pallavaram 23.13 1.23 55.44 25.00 60.29
38 Pallavaram pz 8.49 0.50 33.64 25.00 41.26
39 Pallikaranai (Pz) 12.98 0.63 39.31 16.19 44.40
40 Panruti Kandigai 21.71 3.27 76.60 45.45 87.75
41 Perungulathur 48.40 2.91 74.63 42.03 79.06
42 Ponmar 7.08 0.48 34.55 40.74 41.77
43 Ponmar (Pz) 11.65 0.79 44.95 44.95 52.21
44 Porur 15.62 0.99 50.20 29.03 58.10
45 Rettamangalam 8.23 0.63 38.57 11.63 51.05
46 Sadras 10.00 0.56 40.66 20.99 42.91
47 Shollinganallore 63.26 4.28 83.92 37.61 83.42
48 St.Thomas Mount 18.98 0.98 49.60 23.40 55.40
49 Tambaram 11.51 0.80 45.55 30.77 53.04
50 Thirumukkudal 15.60 1.56 62.12 44.00 71.68
51 Thiruporur (Pz) 21.30 1.44 60.00 49.09 65.92
52 Tirukalukundram 4.47 0.43 36.90 54.72 43.29
53 Tiruneermalai 9.58 0.71 51.06 26.09 51.71
54 Tiruporur 40.83 3.27 77.19 69.23 82.69
55 Uthandi 5.46 0.60 44.00 52.38 50.07
56 Uthikadu 5.45 0.23 35.16 15.49 24.28
57 Uthiramerur 21.52 0.51 33.63 36.14 35.62
58 Vadakkupattu 5.55 0.38 28.28 30.77 39.42
59 Vadekkal (Palnallur) 48.99 3.02 76.39 51.52 78.70
60 Vengaivasal 21.21 0.94 50.49 35.43 53.46

Table 5: Different parameters for Irrigation Indices (II) for sampling stations.

Conclusion

From the investigation, the following results was concluded.

WQI values concluded, out of 60 stations it was observed that around 30% of groundwater is above good quality (WQI: 0-50), around 42% is very poor and unfit for drinking purpose (WQI: 76 - >100) and 28% of the sampling stations are poor (WQI: 51-75) respectively.

The SMI values concluded that, out of 60 stations it was observed that 23 stations which means 38% of the sampling stations are affected by seawater intrusion greater than 1.

There are 7 sampling stations which are affected by both WQI and SMI. Due to SMI these 7 areas will have impact on WQI.

HHRA study concludes for Children, 13% of the sampling station is having a health impact due to fluoride. The analysis shows that children’s average fluoride content is higher than adults.

Irrigation efficiency concludes that 65% of sampling stations, SAR values greater than 10 mEq/L and 2 stations having percentage of Na greater than 80% therefore the water is unfit for irrigation. Nearly 40% of sampling stations having KR value less than 1, which means those areas are suitable for irrigation purpose and Almost 12 sampling stations having PI value greater than 65% therefore water is suitable for irrigation purpose. 9 stations having MAR value greater than 50, so those stations are not recommended for irrigation purposes.

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Citation: Soujanya J, Gokulan R, Lokesh R, Venkat R, Sharj, et al. (2024) Impactof Seawater Intrusion on Groundwater in Kanchipuram District, Tamil Nadu CoastalArea. J Earth Sci Clim Change, 15: 771.

Copyright: © 2024 Soujanya J, et al. This is an open-access article distributedunder the terms of the Creative Commons Attribution License, which permitsunrestricted use, distribution, and reproduction in any medium, provided theoriginal author and source are credited.

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