This study was conducted to assess the groundwater suitability for drinking and irrigation and to recognize the comprehensive controls of groundwater salinization in the coastal regions of the Thiruvallur district. For this purpose, groundwater from 54 dug and bore wells at locations covering most of the coastal aquifer within 10 km was sampled and analyzed for various physicochemical parameters. The analytical results expose that the groundwater in the study area is slightly alkaline to alkaline, moderately fresh to highly saline, and very high in hardness. The dominance of significant ion concentrations was found in the following order: Na+ > Ca2+ > Mg2+ > K+ = Cl > HCO3 > SO42− > NO3 >PO43− > F. The Water Quality Index (WQI) map shows that 70% of the groundwater samples are unsuitable for drinking due to the enhanced levels of TDS, salinity, and significant major ionic concentrations. However, the rest of the groundwater samples are in excellent to good condition. The Hydrochemical Facies Evaluation Diagram (HFE-D) reveals that many samples show the overlapping in the mixing line between fresh groundwater and saltwater caused by seawater intrusion.

  • The Water Quality Index map shows 70% of the samples poor to very poor condition.

  • Irrigation water quality indices are unsuitable for agricultural purposes under the normal condition.

  • The hydrochemical facies were identified.

  • The HFE-D plot helps to understand the significant hydrochemical processes controlling the groundwater salinity.

  • Evaporation is the important natural mechanisms control the groundwater.

Water, often considered the cornerstone of civilisation and life on Earth, is an indispensable resource that underpins the functioning of ecosystems, supports agricultural production, and is vital for human health. The urgency of water quality monitoring is emphasised as a global priority to mitigate potential health risks and enable effective planning and management of water resources (Mishra et al. 2014). With the ongoing developments in agriculture, industry, urbanisation, and population growth, there is a discernible rise in overall water demand (Singaraja et al. 2014). This escalating demand, coupled with the looming spectre of freshwater scarcity, presents one of the most formidable challenges of the 21st century (Magesh et al. 2018; Rao et al. 2019; Rey et al. 2020). In essence, water quality becomes a pivotal factor influencing not only the sustenance of life and the productivity of agriculture but also the broader socio-economic and geopolitical landscape (Cellone et al. 2019). Hydrochemical processes play a pivotal role in unveiling the suitability of groundwater in coastal regions for various purposes, such as drinking, farming, and industrial use (Kaliraj et al. 2015; Seenipandi et al. 2019). These processes not only help in understanding the natural changes in quality resulting from interactions between rocks and water but also shed light on the impacts of human activities on groundwater chemistry (Srinivasamoorthy et al. 2013; Chandrasekar et al. 2014; Vahab et al. 2016). Groundwater unavailability has occurred in various parts of the coastal zones in India due to uneven temporal and spatial distribution, increased consumption and usage, pollution, contamination, misuse, and waste. Preventive measures, land-use planning, and regulatory frameworks are implemented to safeguard coastal aquifers to control and manage potential contamination sources (Mastrocicco & Colombani 2021). Sustainable groundwater management practices, including aquifer recharge strategies and public awareness initiatives, are crucial for maintaining and improving groundwater quality over time (Selvakumar et al. 2017; Devaraj et al. 2020; Sundriyal et al. 2021). Groundwater quality degradation in coastal zones is a frequent issue, typically caused by factors such as effluent discharge, the composition of the underlying rock, vegetation cover, agricultural practices, biological activities, evaporation rates, rainfall, topography, and unregulated waste disposal, among other environmental influences (Selvakumar et al. 2018; Faizal Khan et al. 2020; Zhao et al. 2021). Moreover, the over-extraction of groundwater for different commercial purposes directly affects the groundwater table by creating a cone of depression; finally, fresh groundwater is converted into saline groundwater, and encroachment of urbanization with industrial developments also affects the groundwater salinity (Krishna Kumar et al. 2017; Panthi et al. 2022; Sellamuthu et al. 2022). Common threats to groundwater quality in the urban region include industrial discharges, leaking underground storage tanks, untreated sewage, and agricultural runoff with fertilizers and pesticides. In recent decades, the changes in land-use patterns have severely stressed the coastal habitats. Indeed, the pressure on coastal zones due to urbanization, industrial activities, and population growth poses a significant threat to coastal ecosystems in India. These pressures lead to habitat loss, pollution, groundwater depletion, and salinization – all of which impact biodiversity, water quality, and the health of ecosystems. Particularly in Tamil Nadu, the coastal aquifers are mostly shallow and moderate depth of groundwater resources and they are being utilized for different activities (Senthilkumar et al. 2014). The over-extraction of groundwater in the coastal regions raises an alarm about the huge vulnerability level and creates various problems due to seawater intrusion. Several studies around the globe and India documented that the over-extraction of groundwater in the coastal zones can lead to seawater intrusion into the freshwater aquifer (Selvakumar et al. 2012; Habtemichael & Fuentes 2016; Klassen & Allen 2017; Senthilkumar et al. 2017; Abd-Elaty et al. 2022). Regular sampling and analysis are integral components of groundwater quality assessment to detect potential contaminants with salinity and ensure the groundwater's suitability for different uses, particularly in the coastal regions. Under these circumstances, the present research aims to understand the hydrochemical processes controlling groundwater salinization and assess the suitability for drinking and irrigation in the coastal regions of the Thiruvallur district, Tamil Nadu, India.

The study area extends from Gunagkuppam to Tiruvottiyur (80.327° E 13.427 N and 80.294° E 13.126° N) along the Northern coastal areas of Tamil Nadu State, India, covering about 50 km2 (Figure 1). It falls under the blocks of Minjur, Puzhali, and Gummidipoondi, with a mixture of rural, urban and semi-urban characteristics. The coastal ecosystem is highly disturbed and threatened by problems like pollution, erosion, flooding, storm surges, ever-expanding human settlements and seawater intrusion. The main important geomorphological features are coastal plains, salty marsh, marshy land, alluvial plains, lagoons, mud flats, and beach ridges. Geologically, the study area mainly comprises coastal alluvium, marine sands, clay, sand, silts and some arenaceous and rudaceous sedimentary rocks with recent alluvium and tertiary formations. Inceptisols are the main dominant soil types in the coastal regions. The coastal regions are mainly made up of unconsolidated aquifers with river alluvium and floodplain deposits. Discontinuous, thin, unconfined to semi-confined groundwater conditions with an average specific yield of >200 m3/day, and depth to water level is varied from the northern portion (2.5–6 m below ground level (mbgl)) and the southern regions from 5 to 10 mbgl. CGWB's (2014) report shows that the coastal regions are highly over-exploited to semi-critical stages. The land use and cover settings are cropland, build-up land, sandy areas, wasteland, agricultural lands, and water bodies. The study region comprises a tropical climate with a mixture of hot and dry (average temperature of 34 °C) in the summer and pleasant weather (23 °C) from November to January, and the average relative humidity is 65%. The annual average rainfall is 1,640 mm. The population density is 564.8/km2 with the urban and rural settlements.
Figures 1

Location map along with sampling wells of the study area.

Figures 1

Location map along with sampling wells of the study area.

Close modal

Groundwater from 54 dug and bore wells at locations covering most of the coastal aquifer within 10 km from the coast were sampled. The sample size depends on the availability of bore and dug wells in the study area. The sampling dates were selected to avoid taking samples the week after any rainfall event. The groundwater is mainly used for drinking, domestic, irrigation, or blending with desalinated and recreational purposes. The collection and analysis of groundwater samples were followed by standard methods (APHA 2012). The sample was collected in a suitable HDPE polythene bottle and was labelled clearly by denoting the groundwater location, the sampling date, and the station number. From the time of sample collection to the time of actual analyses, many physical, chemical and biochemical reactions would change the quality of the water sample; therefore, to minimize this change, the samples were preserved soon after the collection. The physical parameters such as temperature, pH, electrical conductivity (EC), total dissolved solids (TDS), and salinity were measured using the Horiba Laqua multi-probe water quality analyzer. Calcium (Ca2+) and magnesium (Mg2+) were measured by titrimetric method against EDTA, and based on the Ca2+ and Mg2+ concentrations total hardness (TH) was calculated. Sodium (Na+) and potassium (K+) were measured by flame photometry. Sulphate (SO42−, nitrate (NO3), and phosphate (PO43−) concentrations were measured by spectrophotometry. The presence of bicarbonate (HCO3) and chloride (Cl) were analyzed titrimetrically against H2SO4 and AgNO3, respectively. Fluoride concentration was analyzed using the SPADNS spectrophotometric method. The analytical error of the hydrochemical analyses was verified by calculating the ion-balance errors, taking the relationship between the total cation and the total anion for each set of complete analyses of water samples. The analytical error percentage of all 54 samples was less than the accepted limit of ±10% (Domenico & Schwartz 1990), and different irrigation water quality indices were calculated based on the analytical values. For understanding the hydrochemical facies, groundwater salinization and mechanisms controlling groundwater chemistry in the coastal aquifer using different graphical, geospatial and geostatistical representations with the support of Aqua-Chem, Arc GIS, and SPSS softwares, respectively.

Groundwater quality and suitability assessment for drinking

The detailed statistical summary for major physicochemical parameters is shown in Table 1. The analytical results show that the groundwater in the study area is slightly alkaline to alkaline, with a pH varying from 6.74 to 8.57, with a mean value of 7.05. The EC, TDS, and salinity values show variation in different parts of the study region, particularly some patches of coastal region moderately fresh and the many regions moderately saline to highly saline. EC is a very important parameter responsible for changing the fresh to saline, and it is also directly proportional to TDS and salinity. The present study area EC value ranged from 370.5 to 10,235 μS/cm with an average of 1,840 μS/cm, and the TDS values varied from 256 to 6,648 mg/l with a mean value of 947 mg/l. Spatial variation of EC and TDS values in the central parts of the study area shows high values compared to northern and southern portions. TDS values are indicators of fresh or saline, and many classifications were framed from fresh (<1,000 mg/l) to brine (>35,000 mg/l). For suitability of drinking based on these two parameters, almost 73% of the groundwater samples show an elevated concentration and exceed the maximum permissible limits per national and international standards. However, the rest of the groundwater samples are within the permissible limits; perhaps these groundwater samples can also not be consumed directly and need further different purification methods. TDS is also an important parameter to determine all other major ions.

Table 1

Descriptive statistics of groundwater quality data and drinking water specifications of the study area in comparison with WHO (2017) and BIS (2012) 

ParameterMinimumMaximumAverageWHO (2017) BIS (2012) 
pH 6.74 8.72 7.05 6.5–8.5 6.5–8.5 
Temperature (°C) 22 34 28 – – 
EC (μS/cm) 370.5 10,235 1,340 1,500 1,500 
TDS (mg/l) 256 6,648 917 1,000 500 
Salinity (mg/l) 0.307 0.857 0.562 0.5 0.5 
TH (mg/l) 63 1,852 175.3 300 200 
Ca2+ (mg/l) 78 615 148 200 200 
Mg2+ (mg/l) 13 274 84 150 100 
Na+ (mg/l) 54 1,568 165 200 200 
K+ (mg/l) 2.8 76.5 14 12 12 
HCO3 (mg/l) 68 1,637 540 400 400 
Cl (mg/l) 89 3,364 328 250 250 
(mg/l) 26 835 74 250 250 
(mg/l) 4.5 71 26 45 45 
(mg/l) 0.3 5.6 1.26 0.5 0.5 
F (mg/l) 1.83 0.35 1.5 1.5 
ParameterMinimumMaximumAverageWHO (2017) BIS (2012) 
pH 6.74 8.72 7.05 6.5–8.5 6.5–8.5 
Temperature (°C) 22 34 28 – – 
EC (μS/cm) 370.5 10,235 1,340 1,500 1,500 
TDS (mg/l) 256 6,648 917 1,000 500 
Salinity (mg/l) 0.307 0.857 0.562 0.5 0.5 
TH (mg/l) 63 1,852 175.3 300 200 
Ca2+ (mg/l) 78 615 148 200 200 
Mg2+ (mg/l) 13 274 84 150 100 
Na+ (mg/l) 54 1,568 165 200 200 
K+ (mg/l) 2.8 76.5 14 12 12 
HCO3 (mg/l) 68 1,637 540 400 400 
Cl (mg/l) 89 3,364 328 250 250 
(mg/l) 26 835 74 250 250 
(mg/l) 4.5 71 26 45 45 
(mg/l) 0.3 5.6 1.26 0.5 0.5 
F (mg/l) 1.83 0.35 1.5 1.5 

The dominance of significant ion concentrations was found in the following order: Na+ > Ca2+ > Mg2+ > K+ = Cl > HCO3 > SO42− > NO3 > PO43− > F. The Ca2+ and Mg2+ values ranged from 78 to 615 mg/l with an average of 148 mg/l and 13 to 274 mg/l with an average of 84 mg/l, respectively. 56% of the groundwater samples exceeded the maximum permissible limit for drinking. The higher values of both concentrations were recorded in the central and southern regions due to the ion exchange process, rock weathering, and diverse anthropogenic inputs. The K+ values varied between 2.8 and 76.5 mg/l, with a mean value of 14 mg/l. Out of 54 groundwater samples, 21 exceeded the permissible (12 mg/l) limits for drinking, the higher concentration of potassium mainly due to the trapped saline water from past geological history, weathering from sedimentary rocks, and anthropogenic sources such as municipal wastewater and industrial effluents. The Na+ values ranged between 54 and 1,568 mg/l, averaging 346 mg/l. For drinking, 62% of the groundwater samples exceeded the maximum limit of 200 mg/l, particularly in the central portion of the study region, and had higher concentrations (>1,000 mg/l), which mainly due to the aquifer systems may be mixing of fresh-saline groundwater with seawater intrusion.

The HCO3 varies from 68 to 1,637 mg/l, with a mean value of 540 mg/l. The higher values of bicarbonate in the coastal aquifers are mainly derived from the uptake of CO2 either from soil zone or direct atmospheric inputs, action on carbonate-rich non-clastic sedimentary rocks such as limestone and dolomites, and dissolution may arise in mixing with both freshwater and seawater end members being saturated with carbonates. Cl values ranged from 89 to 3,364 mg/l, with an average value of 628 mg/l. In the study, chloride is one of the most important dominant anions. Owing to salinization, in central parts of the study area, groundwater samples near the coastline showed very high concentrations (>3,000 mg/l) and gradually decreased towards the inland regions due to the saline groundwater intruding into the fresh groundwater aquifer due to the saltwater intrusion process. However, some groundwater wells near the coast show lower values (<150 mg/l), for the wells are shallow with wet atmospheric deposition through the rainfall, extraction of groundwater, and much less usage. The sulphate concentration ranges from 26 to 835 mg/l, averaging 114 mg/l. Saltwater mixing results in increased sulphate concentration near the coastal wells; however, most groundwater samples showed low-medium sulphate concentrations due to the lack of sulphate minerals in the host rock. The nitrate values ranged from 4.5 to 71 mg/l, averaging 26 mg/l. The higher concentration of more than 45 mg/l is unfit for drinking. It represents groundwater contamination caused by various manmade inputs such as liquid waste discharged from septic tanks, manure on the land, wastewater, sanitary landfills, industrial wastewater, agricultural runoffs, and other local pollutions. The phosphate values ranged from 0.3 to 4.6 mg/l with mean values of 0.9 mg/l. Higher (>) PO43− concentration is noticed in the seven wells; it may be due to geogenic factors with the dissolution of phosphate-rich minerals in aquifer sediments and anthropogenic inputs like urban runoff from urban areas, wastewater infiltration, etc.

Water Quality Index

The overall groundwater suitability for drinking, GIS-based Water Quality Index (WQI) map (Figure 2) was prepared using different physicochemical parameters following WHO (2017) standards. Chidiac et al. 2023 laid down a comprehensive and detailed methodology for reviewing WQI techniques at global levels. For this study, 14 different water quality parameters were applied and converted into a simple expression. Additionally, a weightage was given to each parameter to its importance in the overall quality of groundwater. Then, using a quality rating scale for each parameter, the final WQI was calculated and computed as weightage and the associated rating scale. The final computed WQI values range from 23.5 to 112.8 in the study area. For a clear understanding of drinking suitability, the results have been classified into five categories with the following categories: very good (<25), good (26–50), marginal (51–75), poor (76–100), and very poor (>100) (Table 2). The WQI map reveals that 30% of the groundwater samples in extreme northern and southern parts of the coastal aquifer are in excellent to good condition and fresh in nature with less contamination of seawater intrusion. However, in the small pockets of these regions, few samples show a marginal category with a TDS level of 1,500–3,000 mg/l, indicating that it is moderately saline and possibly leads to seawater intrusion near the coastal regions. The central portions of the study area, especially wells 9–11, 27, 28, and 34–36, show very high WQI values, indicating poor water quality with TDS levels exceeding 5,000 mg/l. This suggests that these areas are highly vulnerable to seawater intrusion, likely due to over-extraction of groundwater. Moving inland, WQI and TDS values decrease slightly, reflecting marginal water quality. Therefore, the central coastal aquifer in the study area may face increasing seawater intrusion and rising salinity levels. Based on the WQI result, 70% of the groundwater samples are unsuitable for drinking due to the enhancing levels of TDS, salinity and significant major ionic concentrations.
Table 2

The WQI values, quality of water, and percentage of groundwater samples in the study area

WQI valuesQuality of waterNumber of samples% of samples
<25 Excellent 3.7 
26–50 Good 13 11.1 
51–75 Marginal 18 31.5 
76–100 Poor 11 40.8 
>100 Very poor 12.9 
WQI valuesQuality of waterNumber of samples% of samples
<25 Excellent 3.7 
26–50 Good 13 11.1 
51–75 Marginal 18 31.5 
76–100 Poor 11 40.8 
>100 Very poor 12.9 
Figures 2

Water Quality Index (WQI) map of the study area.

Figures 2

Water Quality Index (WQI) map of the study area.

Close modal

Irrigation water quality indices

The present study region's groundwater is mostly used for agricultural purposes compared to drinking. Hence, the groundwater suitability for irrigation is also needed to understand the nature of quality. For this purpose, five significant irrigation water table quality indices, such as SAR, Na%, PI, RSBC, and MH, were assessed. Table 3 shows that based on SAR, 30% of the samples found no problem, and 54% belonged to increasing problems for irrigation. However, 16% of the groundwater in the study regions shows a severe problem with unsuitable irrigation due to higher alkalinity and salinity levels. However, PI values reveal that 28% of the groundwater was found to be an unsuitable category.

Table 3

Classification of irrigation quality indices and percentage of groundwater samples

ParametersRangeGroundwater classSamples (n = 54)
In. No.In. %
Electrical conductivity (Saxena et al. 2004<250 Excellent – – 
250–750 Good 9.3 
750–1,500 Permissible 12 22.2 
1,500–2,250 Doubtful 28 51.8 
>2,250 Unsuitable 16.7 
SAR (Bouwer 1978<6 No problem 16 29.6 
6–9 Increasing problem 29 53.8 
>9 Severe problem 16.6 
Na% (Wilcox 1955<20 Excellent 9.3 
20–40 Good 11 20.4 
40–60 Permissible 16.6 
60–80 Doubtful 21 38.9 
>80 Unsuitable 14.8 
Permeability index (PI) (Doneen 1964<60 Suitable 39 57.4 
>60 Unsuitable 15 72 
RSBC <1.25 Good 33 61.1 
1.26–2.50 Doubtful 16 29.6 
>2.50 Unsuitable 9.3 
MH (Paliwal 1972)  <50 Suitable 36 66.7 
>50 Unsuitable 18 33.3 
ParametersRangeGroundwater classSamples (n = 54)
In. No.In. %
Electrical conductivity (Saxena et al. 2004<250 Excellent – – 
250–750 Good 9.3 
750–1,500 Permissible 12 22.2 
1,500–2,250 Doubtful 28 51.8 
>2,250 Unsuitable 16.7 
SAR (Bouwer 1978<6 No problem 16 29.6 
6–9 Increasing problem 29 53.8 
>9 Severe problem 16.6 
Na% (Wilcox 1955<20 Excellent 9.3 
20–40 Good 11 20.4 
40–60 Permissible 16.6 
60–80 Doubtful 21 38.9 
>80 Unsuitable 14.8 
Permeability index (PI) (Doneen 1964<60 Suitable 39 57.4 
>60 Unsuitable 15 72 
RSBC <1.25 Good 33 61.1 
1.26–2.50 Doubtful 16 29.6 
>2.50 Unsuitable 9.3 
MH (Paliwal 1972)  <50 Suitable 36 66.7 
>50 Unsuitable 18 33.3 

EC and Na% are the main factors in determining the groundwater suitability assessment studies for irrigation. Accordingly, Wilcox (1955) constructed a plot EC vs. Na% with five categories: very good to good, good to permissible, permissible to doubtful, doubtful to unsuitable, and unsuitable. Many researchers widely use this plot in different regions of the world. Figure 3 reveals that nine groundwater samples in the study regions were unsuitable due to higher sodium, salinity levels and dissolved ions. Plant growth is stunted when high-sodium water is used for irrigation. When sodium reacts with soil, it decreases its permeability. Long-term irrigation water use reduces soil permeability.
Figures 3

Sodium percent vs. electrical conductivity (Wilcox) plot.

Figures 3

Sodium percent vs. electrical conductivity (Wilcox) plot.

Close modal

Major geochemical processes controlling groundwater salinization

Piper diagram (1944) is a trilinear representation of the ions found in the groundwater, with cations, anions, and combined properties used to classify groundwater types or hydrochemical facies. The two ternary plots, such as major cations (calcium, magnesium, potassium, and sodium) and anions (bicarbonate, chloride and sulphate), are projected onto a diamond shape with a matrix transformation of a graph. The diamond shape summarises the dominant cations and anions to indicate the final groundwater type/facies, and it has been divided into six hydrochemical facies: (I) calcium-bicarbonate, (II) sodium-chloride, (III) mixed calcium-sodium-bicarbonate, (IV) mixed calcium-magnesium-chloride, (V) calcium-chloride, and (VI) sodium-bicarbonate. The cation triangle indicates that most of the groundwater samples were found to have no dominant type, which indicates that no cations are dominant. A quarter of the samples were found to be alkali-rich, and a few samples were found to be magnesium-rich. On the right side, the anion triangle shows that most samples have chloride type, followed by no dominant and bicarbonate types. The present study identified five hydrochemical facies from the diamond shape (Figure 4), such as Ca–Cl, mixed Ca–Na–HCO3, Ca–HCO3, mixed Ca–Mg–Cl, and Na–Cl. The calcium-chloride (Ca–Cl) and mixed calcium-magnesium-chloride (Ca–Mg–Cl) types suggest that calcium and magnesium-rich cations, along with chloride anion, are the predominant parameters to determine the groundwater chemistry in the study area due to the ion exchange process, weathering of soils, salt-bearing geological formations, water reacting with subsurface rocks, and various anthropogenic inputs such as domestic sewages, landfill leachates, industrial and septic tank effluents, release of industrial wastes, and irrigation return flows, etc. However, few groundwater samples show the calcium-bicarbonate (Ca–HCO3) facies, representing groundwater's fresh quality. In the fifth facies, the position of data represents Na–Cl type (26%) facies. In the central part of the study region, a vast majority of the samples are NaCl-dominated fluids. In the lower right triangle, most of the samples show Cl contents making up at least 75% of the total anion load and no dominant anion. In the lower triangles most of the samples have Na (K) contributions with mixing cation as it is may be derived from halite (NaCl) dissolution, evapo-concentration, and saline water intrusion. Pulido-Leboeuf (2004) points out that large proportions of the groundwater showed Na–Cl type, which indicates a strong seawater influence. A clear evolution from low salinity Ca–HCO3 type in the alluvial aquifer in the input water to Na–Cl water type with increasing salinity can be observed using most wells collected near the coast. This group is mostly characterized by water with a high TDS concentration due to direct salinization (mixing fresh groundwater and saline groundwater). Salinization path 1 is characterized by increased Cl and usually follows cation exchange. It must also be considered that cation exchange in the aquifer may be responsible for a decrease in Ca2+ and enrichment in Na+ content in groundwater, and the salinization path 2 reflects an increase in Cl but without significant cation exchange.
Figures 4

Hydrochemical facies – Piper plot.

Figures 4

Hydrochemical facies – Piper plot.

Close modal
The Piper Trilinear diagram does not give a precise analysis of the facies evolution during seawater/saline water encroachment and freshening processes. Giménez-Forcada (2010) recommended the Hydrochemical Facies Evolution Diagram (HFE-Diagram) as a useful tool for seawater–freshwater mixing processes. It is a multi-rectangular diagram, a useful tool for interpreting the seawater intrusion process. The freshwater field Ca–HCO3 and seawater field (4) are connected through a mixing line. Most groundwater samples followed the succession of facies along the mixing line, which exhibits simple mixing with little or no intervention of ion exchange reactions. During the encroachment of seawater intrusion to the right and beneath the line, there is an initial increase in salinity and a rapid and marked reverse ion exchange of Na/Ca, which is recognised by the characteristic Ca–Cl facies. Figure 5 reveals that most of the samples show that the facies were influenced by reverse ion exchange reactions (Na/Ca). This type of water evolves towards facies closer to seawater (Na–Cl). In the freshening stage, to the left and above, direct ion exchange processes occur more slowly; the water gains Na+ and releases Ca2+ until Na–HCO3 facies are achieved. In the study area, many samples show the overlapping in the mixing line between fresh groundwater and saltwater caused by seawater intrusion.
Figures 5

Hydrochemical facies evolution diagram (HFE-D).

Figures 5

Hydrochemical facies evolution diagram (HFE-D).

Close modal
Gibb's plot (1970) is essential and widely applied to the studies of groundwater quality, especially in coastal aquifers, for evaluating the natural mechanisms controlling the groundwater chemistry based on the relationship between three distinct properties, such as rock-weathering dominance, rainfall dominance, and evaporation dominance. The major cations, except the Mg2+ vs. TDS plot (Figure 6), suggested that evaporation is the main mechanism controlling the groundwater chemistry in the study area, owing to the local semi-arid environmental climate conditions with low rainfall and extensive evaporation. However, few samples were plotted outside, suggesting that some other processes of anthropogenic inputs are also noticeable factors controlling the groundwater quality. These samples are mostly located in and around the urban part of coastal regions. However, several samples demonstrated a gradually rising tendency towards the rock-weathering dominance field due to leaching and weathering of parent rocks, dissolution of carbonates and chemical weathering of sedimentary rocks.
Figures 6

Mechanisms controlling groundwater chemistry – Gibb's plot.

Figures 6

Mechanisms controlling groundwater chemistry – Gibb's plot.

Close modal

The present research focused on evaluating the hydrochemical characteristics, suitability for drinking and irrigation, and sources of groundwater salinization in the coastal regions of the Thiruvallur district. The results highlight that the degradation of groundwater quality is very high at central parts of the study regions, particularly sampling wells 9–11, 27, 28, and 34–36, which show very high WQI values with very poor conditions due to the enhanced levels of TDS, salinity, significant major ionic concentrations, and these regions are highly vulnerable to seawater intrusion. The salinity problem is very high at all the locations near the central regions; hence, it cannot be used safely for drinking and irrigation. Five hydrochemical facies include Ca–Cl, mixed Ca–Na–HCO3, Ca–HCO3, mixed Ca–Mg–Cl, and Na–Cl. The HFE plots reveal that many samples show the overlapping in the mixing line between fresh groundwater and saltwater caused by seawater intrusion. During the encroachment of seawater intrusion to the right and beneath the line, there is an initial increase in salinity and a rapid and marked reverse ion exchange of Na/Ca, which is recognised by the characteristic Ca–Cl facies. The evaporation and rock water interaction are the main natural mechanisms controlling the groundwater quality in the study region.

V.A. contributed to original draft, sampling, methodology, software, formal analysis, visualization, writing. K.G. contributed to writing – review and editing, resource, visualization. S.S. contributed to review, editing, data curation, and visualization.

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

The authors declare there is no conflict.

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