Advertisement

Applied Water Science

, Volume 7, Issue 7, pp 4037–4053 | Cite as

Groundwater quality assessment for domestic and agriculture purposes in Puducherry region

  • M. Sridharan
  • D. Senthil Nathan
Open Access
Original Article

Abstract

Totally about 174 groundwater samples have been collected during pre-monsoon and post-monsoon season to study the suitability for domestic and agriculture purposes along the coastal aquifers of Puducherry region. Parameters such as pH, total dissolved solids (TDS), electrical conductivity (EC), sodium (Na), potassium (K), calcium (Ca), magnesium (Mg), bicarbonate (HCO3), chloride (Cl) and sulfate (SO4) were analyzed to assess the suitability of groundwater for domestic purposes. Sodium adsorption ratio (SAR), magnesium adsorption ratio (MAR), residual sodium bicarbonate (RSC), soluble sodium percentage (Na%), permeability index (PI) and chlorinity index were assessed for irrigation purposes. The higher concentration of ions such as Na, Ca, Cl and So4 indicates seawater intrusion, mineral dissolution, intense agricultural practices and improper sewage disposal. The level of EC, TDS and hardness in the water samples indicates that maximum of them are suitable for drinking and domestic purposes. The parameters such as SAR, Na%, PI, MAR and Chlorinity index indicates that majority of water sample are very good to moderately suitable for agriculture. In pre-monsoon, RSC of about 5.7% of samples was higher which when used for a longer time alter the soil properties and reduce crop production. Wilcox diagram suggests that water samples are of medium saline to low sodium type indicating that groundwater is suitable for irrigation. Temporal variation of groundwater quality shows significant increasing trend in EC, TDS and ions like Mg, K and Cl in the last decade, mainly due to anthropogenic activities with little geogenic impact in the quality of groundwater.

Keywords

Groundwater Puducherry Domestic Agriculture Seawater intrusion Wilcox 

Introduction

Water is the basic need without which life does not exist in the earth. It is well known that major portion of the earth is occupied by water, out of it only few amounts are fresh water and meant for drinking and other purposes like agriculture, industries, etc. Water occurs in the earth in different forms like surface water, groundwater, glaciers and seawater. Among which the groundwater serves the majority of purposes where there are no other sources. The coasts are one such region which solely depends on groundwater for all its needs. Groundwater quality is affected by both geogenic and anthropogenic agents (Sheikhy Narany et al. 2014). The quality of groundwater is at greater risk due to seawater intrusion along the coast all around the world (Batayneh et al. 2014; Mondal et al. 2010). Groundwater salinization is also due to overpumping, population growth, high evaporation rate and less recharge, seawater–freshwater interaction (Sheikhy Narany et al. 2014). The chemical, physical and biological characteristics of groundwater vary spatially and temporally. Soil or rock water interaction while recharging and discharging processes, mineral dissolution, fossil water, etc. are the processes governing hydrochemistry (Hem 1985). The fertilizers, pesticides and other chemical products used for agriculture also affect the groundwater quality (Nag and Lahiri 2012). Several authors have reported about the quality of groundwater worldwide (Batayneh et al. 2014; Senthilkumar et al. 2014; Kazemi and Mohammadi 2012; Kumar et al. 2015; Krishna Kumar et al. 2011; Nwankwoala et al. 2012). The groundwater studies were carried out in Puducherry region by Public Works Department (2007), Thilagavathi et al. 2012, Nathan et al. 2012, CGWB 1993, Chidambaram et al. 2011 and Pethaperumal et al. 2010. Puducherry is a union territory where there is tremendous increase in population, urbanization, industrialization recent days equivalent to metropolitan city. In addition, the study area is a tourist spot where a large number of people visit throughout the year leading to increase in demand for drinking water and water for domestic purposes. This situation prevailing in study area urged me to study the impacts of all above factors on quality of groundwater.

Study area

Puducherry is a union territory which lies along the southern east coast of Indian sub-continent whose Latitudes are 11°45′ and 12°03′ N and Longitudes are 79°37′ and 79°53′E (Fig. 1). The average area of Puducherry region is about 293 sq. km. The study area receives its mean rainfall of about 1272.7 m from northeast monsoon. The rivers Gingee and Ponaiyar are the two major rivers flow off in the study area. This region depends on the groundwater for all basic activities as the rivers of this area yield water during monsoon period only (CGWB 2007).
Fig. 1

Study area map with sample locations

Geology of the study area

The Puducherry region has undulations in ground ranging from 30 to 100 m with mean ascent of 15 m above mean sea level (CGWB 2007). The major lithological variations found in this region are 1. Coastal plain, 2. Alluvial plain and 3. Uplands. The type of soil in the study area is dominated by Red, Black, Alluvial and Colluvial soil (CGWB 2007).

The study area is bounded by Quaternary, Tertiary and Mesozoic sediments whose age ranges from Archean to recent. The two major aquifers are Cuddalore sandstone and Vanur sandstone formations (CGWB 2007; Fig. 2). Groundwater from the above-mentioned formations are available in confined and semi-confined aquifers conditions which are explored by means of bore wells, dug wells and open wells (Thilagavathi et al. 2012).
Fig. 2

Geological map of Puducherry region

Methodology

Totally 175 representative groundwater samples were collected (Fig. 1) from bore wells of the study area during pre-monsoon and post-monsoon of the year 2014. Water samples are collected in polythene containers which are washed using MilliQ water and then by water to be sampled prior to sampling. The samples are collected after pumping the wells for about 10–15 min and filtered as per standard APHA procedure (John and Dickerson 1993). pH, Electrical conductivity (EC), Salinity, and Total Dissolved solids are measured onsite using Systronics Water Analyzer124. The collected water samples are brought to the laboratory and measured for chemical parameters like anions—chloride (Cl), bicarbonate (HCO3), sulfate (SO4 ) and cations like sodium (Na), potassium (K), calcium (Ca) and magnesium (Mg). Ions such Na, K, Ca, Mg, Cl and SO4 were analyzed using ion chromatography (ICS1100) and bicarbonate using volumetric titration method (Sulfuric acid method). Quality of the data analyzed was done by analyzing blanks, standards and duplicates in between the sample analysis. The ionic percentage error was ±10%.

To study the temporal variation in groundwater quality of the study area, water quality data have been collected from Water Testing Laboratory, Public Health Division (PWD), Puducherry for the year 2004 and 2008 for which the complete dataset is available. The water quality data collected include pH, EC, TDS, Na, K, Ca, Mg and Cl. The average rainfall and water quality data of the year 2004 and 2008 have been tabulated in the Table 7.

Results and discussion

Using the above methodology, the groundwater samples have been collected and analyzed for different parameters to evaluate the quality of groundwater for domestic and agriculture purposes. The results obtained are discussed in Table 1.
Table 1

Chemical analysis results of water samples for pre- and post-monsoon season

Parameters

Pre-monsoon

Post-monsoon

Max

Min

Max

Min

pH

8.56

5.99

7.45

6.09

TDS (mg/L)

6380

173

3980

110

EC (µS/cm)

3080

341

3980

110

Na (mg/L)

3588

26.2

5201

120

K (mg/L)

353

ND

417

ND

Ca (mg/L)

881

ND

1683

63

Mg (mg/L)

719

7

524

7.4

Cl (mg/L)

470

8

2351

35.4

SO4 (mg/L)

948

ND

414

ND

HCO3 (mg/L)

902

ND

317

ND

MAR

100

10.9

387

13.8

Hardness

353

5.9

220

80

Drinking water quality

Water is one of the major pathways for the diseases to acquire human body. For a sound mind and healthy body, water that we intake has to be in a good condition. By nature, water is composed of ions, dissolved gases and unicellular organisms. When these ions, dissolved gases and harmful organisms exceeds a certain limit water is said to be unfitfor drinking and other domestic purposes. This limit for individual parameters has been fixed based on its effect when itfis excess or less in concentration as suggested by World Health Organization (WHO 2004) and Bureau of Indian standards (Table 2).
Table 2

Comparison of groundwater samples with BIS and WHO standards

Parameter

Bureau of Indian standards

World Health Organization Standard

% of Samples above Maximum Permissible limit

Highest desirable limit

Maximum permissible limit

Highest desirable limit

Maximum permissible limit

Pre-monsoon

Post-monsoon

pH

6.5–8.5

6.5–9.2

6.5–8.5

6.5–9.2

Nil

Nil

EC (µS/cm)

1500

3000

1500

3000

1.2

1.1

TDS (mg/L)

500

1000

500

1000

5.7

9

Na (mg/L)

300

Nil

Nil

K (mg/L)

10

Nil

Nil

Ca (mg/L)

75

200

75

200

17

53

Mg (mg/L)

30

100

50

100

11

19

Cl (mg/L)

250

1000

200

600

17

3

SO4 (mg/L)

200

400

200

400

17

25

pH

The acidic and alkaline properties of water can be studied to evaluate the interaction of water with rock or other material interacting with it (Hem 1985). The permissible limit for pH as prescribed by global and Indian bureau standards for drinking water is 6.5–8.5 (WHO 2004 and BIS 2012). The pH in the collected samples of the study area ranges between 5.99 and 8.5 in pre-monsoon (Table 1; Fig. 3a) and between 6.09 and 7.45 in post-monsoon (Table 1; Fig. 3b).
Fig. 3

a, b Spatial distribution map of pH (pre- and post-monsoon)

Electrical conductivity (EC)

The conductance of water increases with increase in concentration of ions dissolved in water (Hem 1985). In the study area, EC measured ranges from 341 to 3080µmhos/cm and 259 to 3980 µmhos/cm in post-monsoon and pre-monsoon, respectively (Table 1; Fig. 4a, b). The WHO and BIS standard for EC is 1400 µmhos/cm (WHO, 2004 and BIS 2012). The 73.3 and 79.3% of groundwater samples are less than 1400 µmhos/cm in pre- and post-monsoon respectively, indicating type-1 where the salt enrichment is low. Totally, 25.6 and 13.8% of samples EC were in medium range between 1400 and 3000 µmhos/cm in pre-monsoon and post-monsoon respectively, falling in type-2 category indicating medium salt enrichment (Sarath Prasanth et al. 2012). And 1.2 and 1.1% of pre- and post-monsoon samples fall under type-3 indicating very high salt enrichment. Samples falling under type-2 and type-3 category show that medium to high enrichment of salts with higher EC may be due to seawater intrusion, effect of pH and intense long-term agricultural practices in the area of study (Sarath Prasanth et al. 2012; Ramesh et al. 2012).
Fig. 4

a, b Spatial Distribution map of EC (pre- and post-monsoon)

Total dissolved solids (TDS)

Based on TDS, the groundwater suitability for various purposes has been classified as in Table 3. About 94 and 90% of groundwater samples are suitable for drinking; 5 and 9% of samples were under permissible limits for drinking; 1 and 9% of samples were suitable for agriculture in pre- and post-monsoon respectively (David et al. 1966). The permissible level for TDS in groundwater is 1000 mg/L as suggested by WHO and BIS standards for water samples (WHO, 2004 and BIS, 2012). 94.3 and 91% of samples were within the limit of water quality standard in pre-monsoon and post-monsoon respectively. 5.7 and 9% of samples were above the permissible level and not suitable for drinking purposes. TDS varies from 173 to 6380 mg/L in pre-monsoon (Table 1; Fig. 5a) and from 237 to 2320 mg/L in post-monsoon (Table 1; Fig. 5b). Higher Total Dissolved solids content may be due to improper sewage disposal, lesser pH with higher mineral dissolution, seawater intrusion (Sarath Prasanth et al. 2012; Subba Rao 2001); (Ramesh et al. 2012).
Table 3

Classification of groundwater based on TDS (Davis and DeWiest 1966)

TDS (mg/L)

% of samples

Purpose

Pre-monsoon

Post-monsoon

 

<500

94

90

Drinking

500–1000

5

9

Permissible for drinking

>1000

1

9

Suits for agriculture

>1,00,000

Nil

Nil

Unsuitable

Fig. 5

a, b Spatial distribution map of TDS (pre- and post-monsoon)

Fig. 6

a, b Spatial distribution map of Na (pre- and post-monsoon)

Fig. 7

a, b Spatial distribution map of K (pre- and post-monsoon)

Fig. 8

a, b Spatial distribution map of Ca (pre- and post-monsoon)

Fig. 9

a, b Spatial distribution map of Mg (pre- and post-monsoon)

Fig. 10

a, b Spatial distribution map of Cl (pre- and post-monsoon)

Fig. 11

a, b Spatial distribution map of SO4 (pre- and post-monsoon)

Fig. 12

a, b Spatial distribution map of HCO3 (pre- and post-monsoon)

Total hardness

The percolating rainwater into the ground is acidic due to the presence of CO2 in atmosphere and roots of the plants in soil. This low pH solution dissolves the insoluble carbonates and its impurities such as sulfates, chlorides, silicates, etc. into the groundwater making the groundwater harder. Water with higher hardness are not suitable for domestic and industrial purposes (Sarath Prasanth et al. 2012); (Gopinath et al. 2015); (Tahlawi et al. 2016); (Nag and Lahiri 2012).

The total hardness for water samples was determined using the expression (Todd 1980):
$${\text{Total hardness }} = { 2}. 5\;{\text{Ca }} + 4. 1\;{\text{Mg}}$$
where the concentration of calcium and magnesium is expressed in meq/L.
The total hardness of the water samples ranges from 5 to 353 and 13 to 387 mg/L in both the seasons (Table 4; Table 1; Fig. 13a, b). According to Sawyer and McCarty, 1967, the water samples have been classified as soft, moderately hard, hard and very hard as mentioned in the table above. Among the water samples collected, 2 and 1% of water samples are harder in pre- and post-monsoon. Idayanchavadi, Mannadipet and Aryankuppam are the locations showing high hardness above the permissible limit. Most of the water samples of the area of study were soft with hardness less than 75 mg/L.
Table 4

Classification of groundwater based on total hardness (mg/L) (Sawyer and McCarty 1967)

Total hardness (mg/l)

Type of water

Number of samples percentage pre-monsoon

Number of samples percentage post-monsoon

<75

Soft

93

97

75–150

Moderately high

5

2

150–300

Hard

2

1

>300

Very hard

Nil

Nil

Fig. 13

a, b Spatial distribution map of hardness (pre- and post-monsoon)

Fig. 14

a, b Spatial distribution map of MAR (pre- and post-monsoon)

Sodium and potassium (Na and K)

The maximum permissible limit for sodium in groundwater is 200 mg/L as per WHO and BIS standard. The concentration of sodium above permissible level leads to salty taste and health hazards like blood pressure, kidney stones, arteriosclerosis, edema and hyperosmolarity (Sarath Prasanth et al. 2012); (Ramesh and Elango 2011). The concentration of sodium varied from 2.62 to 358 and 12 to 520 mg/L in pre-monsoon and post-monsoon respectively, in the area of interest (Table 1; Fig. 6a, b). Manadipet and Pudukuppam are the locations where concentration of sodium is higher than the prescribed standards both in pre-monsoon and post-monsoon, respectively. The geogenic means include dissolution from rocks like rhyolite, shale and evaporite sediments (Hem 1985).

Potassium is generally very low in groundwater samples and there is no separate permissible limit for it. It ranges from not detectable to 39 mg/L and not detectable to 41 mg/L in both pre-monsoon and post-monsoon respectively (Table 1; Fig. 7a, b).

Calcium and magnesium (Ca2+ and Mg2+)

The maximum permissible level for calcium in groundwater is 75 mg/L as per WHO and BIS standards for groundwater. It ranges from not detectable to 88.6 and 6.3 to 168 mg/L in pre-monsoon and post-monsoon season (Table 1; Fig. 8a, b) of the study site. Mannadipet in pre-monsoon and Anandapuram in post-monsoon are the two locations exceeding the permissible limit. In sedimentary terrain like study area, it occurs as carbonates in rocks like limestone and as cementing material in sandstone (Hem 1985). Moreover, the study site is covered entirely by sedimentary lithounits enriched in sandstone and limestone (CGWB 2007); (Herman 1978); (Basavarajappa and Manjunatha 2015). It reaches the groundwater by ion exchange processes (Annapoorna and Janardhana 2015).

Magnesium is commonly found in ferromagnesian minerals in igneous rocks and as carbonates in sedimentary rocks. The standard limit for magnesium in groundwater suggested by WHO and BIS is 30 mg/L. The magnesium concentration ranges from 7 to 719 and 7 to 524 mg/L in pre-monsoon and post-monsoon respectively (Table 1; Fig. 9a, b). In both the seasons, most of the samples exceeded the permissible level. Excess magnesium may lead to unpleasant taste (Ramesh and Elango 2011) and encrustation on water supplies (BIS 2009).

Chloride (Cl)

The desirable level for chloride in groundwater is 250 mg/L and maximum permissible level is 1000 mg/L. Cl ion varies from 8.7 to 4707 and 35 to 2351 mg/L in pre- and post-monsoon respectively (Table 1; Fig. 10a, b). The excess concentration of chloride in study area indicates mainly seawater intrusion and industrial waste disposal.

Sulfate (SO4 )

The desirable level for sulfate in groundwater is 200 mg/L as maximum permissible level is 400 mg/L as suggested by WHO and BSI. The sulfate concentration varied from 8.7 to 470 mg/L and not detectable to 414 mg/L in both pre- and post-monsoon respectively (Table 1; Fig. 11a, b). Sulfate in groundwater might be due to the presence of sulphide-bearing minerals and gypsum in aquifer materials, application of sulfate-rich fertilizers and industrial wastes.

Bicarbonate (HCO3 )

The bicarbonate concentration in the study site ranges from not detectable to 902 mg/L and not detectable to 317.2 mg/L in pre- and post-monsoon season respectively (Table 1; Fig. 12a, b). The dominance of bicarbonate ion indicates mineral dissolution process.

Irrigation water quality

For a plant growth apart from soil type and quality, water is also an essential component. Poor quality water when used for agriculture purposes may affect the crop productivity (Iqbal et al. 2012). Intense agricultural practices and application of chemical fertilizers, pesticides and insecticides have significant effect on groundwater quality. Sodium adsorption ratio (SAR), soluble sodium percentage (Na%), permeability index(PI), magnesium adsorption ratio(MAR) and salinity hazard are some of the factors to understand the groundwater suitability for agriculture.

Sodium adsorption ratio

Sodium adsorption ratio or sodicity is the measure of relative concentration of sodium with respect to calcium and magnesium in groundwater (Haritash et al. 2014; Iqbal et al. 2012). The SAR is calculated using the following equation (Richards et al. 1954):

$${\text{SAR }} = {\text{ Na}}/\surd \, \left( {\left( {{\text{Ca}} + {\text{Mg}}} \right)/ 2} \right)$$

Concentration of calcium and magnesium are in meq/L.

The classifications of groundwater sample based on SAR are mentioned in the Table 5. According to it, the samples are grouped as excellent, good, permissible and unsuitable for agriculture purposes. About 92% of samples in pre-monsoon and 83% of groundwater samples in post-monsoon season are suitable for agriculture, respectively. 1 and 2.2% of samples in pre- and post-monsoon are not suitable for agriculture purpose, respectively. The calculated data were then plotted on Wilcox diagram (Sodium Hazard (SAR) Vs. Electrical conductivity) as shown in Fig. 15. From Fig. 15, it is inferred that majority of samples in pre-monsoon falls under C3S1 (highly saline-low sodic type) and C3S2 (Highly Saline-medium sodic type) category. In post-monsoon, the samples are distributed almost equally under C2S1 (medium saline-low sodic hazard), C3S1 (highly saline-low sodic type), C3S2 (Highly Saline-medium sodic type) and C2S2 (medium saline-medium sodic type) category. Finally, the above plot indicates that in the study area groundwater are of medium saline and low sodium type in both the seasons except in few places. About 1 and 2.2% of samples in pre- and post-monsoon fall under very high sodium and very high salinity type which are not suitable for agriculture because of high sodium concentration in the groundwater. High salinity and high sodium type of water leads to high osmotic pressure and eventually it leads to reduction in water absorption by roots of plant (Ramesh and Elango 2011; Brindha and Elango 2011). Kakayantopu and Pudukuppam are the locations showing high SAR >26 which are unsuitable for agriculture.
Table 5

Classification of groundwater based on SAR (Todd 1980; Richards 1954)

SAR

Suitability for irrigation

Number of samples percentage pre-monsoon

Number of samples percentage-Post-monsoon

0–10

Excellent

92

83

10–18

Good

6.8

13.5

18–26

Permissible

1

1.1

>26

Unsuitable

1

2.2

Fig. 15

Classification of irrigation water based on sodium hazard and salinity hazard

Residual sodium carbonate (RSC)

The suitability of groundwater is affected by excess concentration of bicarbonates and carbonates over calcium and magnesium. The excess bicarbonate concentration is harmful to physical properties of soil (Das and Nag 2015). The RSC can be calculated by the following formula (Eaton 1950):

$${\text{RSC }} = \, \left( {{\text{HCO}}_{ 3}^{ - } + {\text{ CO}}_{ 3}^{ - } } \right) \, {-} \, \left( {{\text{Ca}}^{ 2+ } + {\text{ Mg}}^{ 2+ } } \right)$$
where the concentration of ions is expressed in meq/L.
In the study area, 94.3 and 98.9% of samples in pre- and post-monsoon RSC is <1.25 indicating that those samples are suitable for agriculture. 1.1% of both pre- and post-monsoon season are moderately suitable for agriculture with RSC of <2.5. 5.7% in pre-monsoon are not suitable for agriculture as shown in the (Table 6; Fig. 16) whose RSC are of >2.5. Kariamanickam, Soriyankuppam, Tavalakuppam, Thirubhuvanai, Tirukanur and Vadanur are the locations showing RSC >2.5 indicating alkaline hazard and non-suitability of water for agriculture.
Table 6

Classification of groundwater for agriculture based on RSC

RSC

Suitability for Irrigation

Number of samples percentage pre-monsoon

Number of samples percentage post-monsoon

<1.25

Low

94.3

98.9

1.25–2.5

Medium

1.1

1.1

>2.5

High

5.7

Nil

Fig. 16

RSC for groundwater samples

Soluble sodium percentage (Na%)

Sodium concentration in excess reduces the permeability of soil, destroys the soil structure and affects the drainage of the area which eventually leads to reduction of crop production and plant growth (Iqbal et al. 2012). Na% is calculated using the formula (Eaton 1950).

$${\text{Na}}\% \, = \, \left[ {\left( {{\text{Na}} + {\text{K}}} \right) \, / \, \left( {{\text{Ca}} + {\text{Mg}} + {\text{Na}} + {\text{K}}} \right)} \right] \, \times { 1}00$$
The concentration of ions is expressed in meq/L. Based on Na% with respect to EC, the groundwater samples have been classified (Wilcox 1955) as shown in Fig. 17. About 82.7 and 78% of samples in the study area range from good to permissible level for agriculture in pre- and post-monsoon respectively. 16 and 16.8% of samples are doubtful to not suitable for agriculture purposes. The location Pudukuppam in pre-monsoon shows very high Na% indicating non-suitability of groundwater for agriculture.
Fig. 17

Wilcox diagram

Permeability index

The impact of long-term irrigation practices leads to reduction in permeability of soil. The ions such as Na+, HCO3 , Ca2+ and Mg2+ in groundwater influence the permeability of soil (Haritash et al. 2014; Gopinath et al. 2015; Chidambaram et al. 2011). Doneen classified the water for irrigation based on permeability index as shown in the Fig. 18. The permeability index is calculated using the following equation (Doneen 1962):
Fig. 18

Donneen’s chart for permeability index

$${\text{Permeability index }}\left( {\text{PI}} \right) \, = \, \left\{ {\left( {{\text{Na}} + \surd {\text{ HCO}}_{ 3}^{ - } } \right)/ \, \left( {{\text{Ca }} + {\text{ Mg }} + {\text{ Na}}} \right) \, } \right\} \, \times { 1}00$$
where the concentration of ions is expressed in meq/L.

In the study area, almost all the samples in post- and pre-monsoon fall under class1 and class2 indicating that water is moderately suitable to suitable for agricultural purposes. In pre-monsoon, 2.3% of samples fall in class3 indicating that those samples are not suitable for agriculture purposes (Fig. 18). Kariamanickam, Lingareddipalayam, Soriyankuppam, Tavalakuppam, Thirubhuvanai, Tirukanur and Vadanur in pre-monsoon and Kakayantopu, Kotakuppam, and Pudukupam in post-monsoon are not suitable for agriculture.

Magnesium adsorption ratio (MAR)

In groundwater, there exists equilibrium between Ca and Mg. During equilibrium MAR makes the soil more alkaline, reducing the soil quality and crop yield (Paliwal 1972; Haritash et al. 2014). The MAR was calculated using the following expression:

$${\text{MAR }} = {\text{ Mg}} \times 100 \, / \, \left( {{\text{Ca}} + {\text{Mg}}} \right)$$
where the concentration of ions is expressed in meq/L.

Based on MAR, groundwater suitable for agriculture can be identified. If the MAR is <50 water is considered to be suitable and if MAR >50 water is unsuitable for agriculture purpose (Fig. 14a, b). In the study area, 90.9 and 97.8% of water samples in pre- and post-monsoon are suitable for agriculture whereas 9.1 and 2.2% of samples are not suitable for agriculture. Idayanchavadi, Kariambattur, Mannadipet, Pondicherry white town in pre-monsoon and Pudukuppam, Tirukanur, Vanur and Palecherry in post-monsoon are the places having MAR greater than 50 meq/L.

Chlorinity index

The concentration of chloride and its suitability for agriculture are shown in Fig. 19. High salt content in irrigation water is toxic to plants (Ramesh et al. 2012). Majority of samples in post-monsoon and pre-monsoon fall under class I, II and III (Fig. 19) indicating suitability for cultivation purposes.
Fig. 19

Chlorinity index for water samples

Temporal variation in quality of groundwater

The coastal aquifers are much susceptible for contamination due to seawater intrusion, urbanization, population growth, etc. Water quality data already available for the year 2004 and 2008 were compared with those of the present study in 2014. The average rainfall of the study area is 1272.7 mm which was most deficient in the year 2014 followed by 2004 and 2008 (Table 7). The Electrical Conductivity, Total Dissolved Solids and concentration of ions like chloride, calcium, potassium, and magnesium were found to be increasing which indicates the deterioration of quality of groundwater with time (Fig. 20a, c, d). The degradation of water quality in the study area is attributed to tremendous increase in population, seawater intrusion, overpumping, urbanization and improper sewage disposal.
Table 7

Groundwater quality data of pre-monsoon (PRM) and post-monsoon (POM) of year 2004, 2008 and 2014

Year

2004

2008

2014

Parameters

POM

PRM

POM

PRM

POM

PRM

pH

8

7

7

7

6.44

7.03

EC

684

839

777

719

1143

1187

TDS

431

528

488

400

642

646

Na

31

43

67.4

129

56

35

K

24

2

9.4

4

64

49

Ca

34

44

49

21

25

160

Mg

25

26

23

72

27

76

Cl

120

156

118

451

201

361

Fig. 20

a Temporal variation of groundwater EC and TDS, b temporal variation of groundwater pH, c, d temporal variation of ions Na, K, Ca and Mg, during the pre-monsoon (PRM) and post-monsoon (POM) of the year 2004, 2008 and 2014

Conclusion

The quality of groundwater for domestic and agricultural purposes was studied along the coastal aquifers of Puducherry region. From the above study, it is inferred that the abundance of cations and anions was in the order of Na > Ca > Mg > K = Cl > SO4 > HCO3 in pre-monsoon and post-monsoon. The ions such as Na, Ca, Cl and SO4 in very few samples were higher than the permissible limit which may be due to seawater intrusion, mineral dissolution, intense agricultural practices and improper sewage disposal. The electrical conductivity and total dissolved solids of the water samples were permissible for drinking purposes. The hardness of the water samples was less than 75 mg/L indicating soft nature of groundwater. Altogether the groundwater is largely safe and suitable for drinking and domestic purposes except in few locations.

The quality of groundwater for irrigation is analyzed by calculating parameters such as SAR, Na%, PI, MAR and Chlorinity index which indicates that the majority of water samples are very good to moderately suitable for agriculture. About 5.7% of water samples show higher RSC indicates that the long-term use of such water may affect crop production and reduce soil quality. In SAR vs. Salinity hazard plot, majority of water samples fall under medium saline to low sodium type indicating that water is suitable for irrigation. Based on PI, it is found that groundwater is good to moderately suitable for agriculture and there is no much threatening of reduction in permeability of soil. As a whole, the quality of groundwater is suitable for agriculture purpose. The temporal variation of groundwater quality depicts that there is a significant increase in EC, TDS and ions like Mg, K, Ca and Cl chiefly due to anthropogenic activities with little geogenic impact. Hence, the present study recommends that regular monitoring of groundwater is essential to avoid major environmental threat.

Notes

Acknowledgements

We thank the funding agency University Grants Commission (F.No.41-1035/2012(SR);Date: 23.07.2012) through major research project. Also we would extend our sincere thanks to Department of Earth Sciences, Department of Ecology and Environmental Sciences and Central Instrumentation Facility of Pondicherry University for providing facilities for analysis. In addition, we would like to thank Water Testing Laboratory, Public Health Division (PWD), Puducherry. In addition, we extend our thanks to the editor and anonymous reviewer for their positive, valuable and effective opinion for bringing this research paper to this level.

References

  1. Annapoorna H, Janardhana MR (2015) Assessment of groundwater quality for drinking purpose in rural areas surrounding a defunct copper mine. Aquatic Procedia 4:685–692. doi: 10.1016/j.aqpro.2015.02.088 CrossRefGoogle Scholar
  2. Basavarajappa HT, Manjunatha MC (2015) Groundwater quality analysis in precambrian rocks of chitradurga district, karnataka, india using geo-informatics Technique. Aquatic Procedia 4:1354–1365. doi: 10.1016/j.aqpro.2015.02.176 CrossRefGoogle Scholar
  3. Batayneh A, Zaman H, Zumlot T, Ghrefat H, Mogren S, Nazzal Y, Al-Taani A (2014) Hydrochemical facies and ionic ratios of the coastal groundwater aquifer of Saudi Gulf of Aqaba: implication for seawater intrusion. J Coastal Res 293:75–87. doi: 10.2112/jcoastres-d-13-00021.1 CrossRefGoogle Scholar
  4. Brindha K, Elango L (2011) Hydrochemical characteristics of groundwater for domestic and irrigation purposes in Madhuranthakam, Tamil Nadu, India. Earth Sci Res J 15(2):101–108. ISSN 1794-6190Google Scholar
  5. Bureau of Indian Standards (BIS) (2012) Indian standard drinking water specification (second revision) BIS 10500:2012, New DelhiGoogle Scholar
  6. Central Ground Water Board (CGWB) (2007) Groundwater Brochure of Puducherry Region U.T of Puducherry, pp 1–27. http://www.cgwb.gov.in/District_Profile/Puduchery/Puducherry.pdf
  7. Chidambaram S, Karmegam U, Prasanna MV, Sasidhar P, Vasanthavigar M (2011) A study on hydrochemical elucidation of coastal groundwater in and around Kalpakkam region, Southern India. Environ Earth Sci 64(5):1419–1431. doi: 10.1007/s12665-011-0966-3 CrossRefGoogle Scholar
  8. Das S, Nag SK (2015) Deciphering groundwater quality for irrigation and domestic purposes—a case study in Suri I and II blocks, Birbhum District, West Bengal, India. J Earth Syst Sci 124(5):965–992. doi: 10.1007/s12040-015-0583-8 CrossRefGoogle Scholar
  9. Davis SN, DeWiest RJ (1966) Hydrogeology. Wiley, New YorkGoogle Scholar
  10. Doneen LD (1962) The influence of crop and soil on percolating water. In Proc. 1961 Biennial conference on Groundwater recharge, pp 156–163Google Scholar
  11. Eaton FM (1950) Significance of carbonates in irrigation waters. Soil Sci 69(2):123–134. doi: 10.1097/00010694-195002000-00004 CrossRefGoogle Scholar
  12. El Tahlawi MR, Abo-El Kassem M, Baghdadi GY, Saleem HA (2016) Estimating and plotting of groundwater quality using WQIUA and GIS in Assiut Governorate, Egypt. World J Eng Technol 4:59–70. doi: 10.4236/wjet.2016.41007 CrossRefGoogle Scholar
  13. Gopinath S, Srinivasamoorthy K, Saravanan K, Prakash R, Suma CS, Khan F, Senthilnathan D, Sarma VS, Devi P (2015) Hydrogeochemical characteristics of coastal groundwater in Nagapattinam and Karaikal aquifers: implications for saline intrusion and agricultural suitability. Coast Sci J, figshare. doi:10.6084/m9.figshare.1512790.v1Google Scholar
  14. Haritash AK, Gaur S, Garg S (2014) Assessment of water quality and suitability analysis of River Ganga in Rishikesh. Appl Water Sci, India. doi: 10.1007/s13201-014-0235-1 Google Scholar
  15. Hem JD (1985) Study and interpretation of the chemical characteristics of natural water (Vol. 2254). Department of the Interior, US Geological SurveyGoogle Scholar
  16. Herman B (1978) Groundwater Quality. Groundwater Hydrology, Mc.Graw-Hill, Kogakusha Ltd., Tokyo, pp 339–375Google Scholar
  17. Iqbal H, Inam A, Bakhtiyar Y, Inam A (2012) Effluent quality parameters for safe use in agriculture. Water Qual Soil Manag Irrig Crops. doi: 10.5772/31557 Google Scholar
  18. John HH, Dickerson JWT (1993) American Public Health Association (APHA), 120th Annual Meeting, Washington, DC. J R Soc Promot Health 113(1):47–47. doi: 10.1177/146642409311300112 Google Scholar
  19. Kazemi GA, Mohammadi A (2012) Significance of hydrogeochemical analysis in the management of groundwater resources: a case study in Northeastern Iran. Hydrogeol A Global Perspect. doi: 10.5772/39214 CrossRefGoogle Scholar
  20. Krishna Kumar S, Chandrasekar N, Seralathan P, Godson PS, Magesh NS (2011) Hydrogeochemical study of shallow carbonate aquifers, Rameswaram Island, India. Environ Monit Assess 184(7):4127–4138. doi: 10.1007/s10661-011-2249-6 CrossRefGoogle Scholar
  21. Kumar KSA, Priju CP, Prasad NBN (2015) Study on Saline Water Intrusion into the Shallow Coastal Aquifers of Periyar River Basin, Kerala Using Hydrochemical and Electrical Resistivity Methods. Aquatic Procedia 4:32–40. doi: 10.1016/j.aqpro.2015.02.006 CrossRefGoogle Scholar
  22. Mondal NC, Singh VP, Singh VS, Saxena VK (2010) Determining the interaction between groundwater and saline water through groundwater major ions chemistry. J Hydrol 388(1–2):100–111. doi: 10.1016/j.jhydrol.2010.04.032 CrossRefGoogle Scholar
  23. Nag SK, Lahiri A (2012) Hydrochemical characteristics of groundwater for domestic and irrigation purposes in Dwarakeswar watershed area, India. Am J Clim Change 01(04):217–230. doi: 10.4236/ajcc.2012.14019 CrossRefGoogle Scholar
  24. Nathan DS, Kumar RM, Reddy SS, Sivasankaran MA, Ramesh R (2012) Trace elements in groundwater of coastal aquifers of Pondicherry Region, India. J Environ 1(04):111–118Google Scholar
  25. Nwankwoala H, Eludoyin O, Obafemi A (2012) Groundwater quality assessment and monitoring using geographic information systems (GIS) in Port Harcourt, Nigeria. Ethiop J Environ Stud Manag. doi: 10.4314/ejesm.v5i4.s19 Google Scholar
  26. Paliwal KV (1972) Irrigation with saline water. IARI Monograph no 2 (New series), New Delhi, p 198Google Scholar
  27. Pethaperumal S, Chidambaram S, Vijayaragavan K, Prasanna MV, Anandavel K, Karmegam U, Tirumalesh K (2010) A novel approach for groundwater budgeting using GIS in a Part of Pondicherry Region, India. J Water Resour Protection 02(06):585–591. doi: 10.4236/jwarp.2010.26067 CrossRefGoogle Scholar
  28. Ramesh K, Elango L (2011) Groundwater quality and its suitability for domestic and agricultural use in Tondiar river basin, Tamil Nadu, India. Environ Monit Assess 184(6):3887–3899. doi: 10.1007/s10661-011-2231-3 CrossRefGoogle Scholar
  29. Ramesh K, Bhuvana JP, Li T (2012) Hydrochemical characteristics of groundwater for domestic and irrigation purposes in Periyakulam Taluk of Theni District, Tamil Nadu. I Res J Environ Sci 1:19–27Google Scholar
  30. Richards LA (1954) Diagnosis and improvement of saline and alkali soils. Soil Sci 78(2):154. doi: 10.1097/00010694-195408000-00012 CrossRefGoogle Scholar
  31. Sarath Prasanth SV, Magesh NS, Jitheshlal KV, Chandrasekar N, Gangadhar K (2012) Evaluation of groundwater quality and its suitability for drinking and agricultural use in the coastal stretch of Alappuzha District, Kerala, India. Appl Water Sci 2(3):165–175. doi: 10.1007/s13201-012-0042-5 CrossRefGoogle Scholar
  32. Sawyer GN, McCarty DL (1967) Chemistry of sanitary engineers, 2nd edn. McGraw Hill, New York, p 518Google Scholar
  33. Senthilkumar S, Balasubramanian N, Gowtham B, Lawrence JF (2014) Geochemical signatures of groundwater in the coastal aquifers of Thiruvallur district, south India. Appl Water Sci. doi: 10.1007/s13201-014-0242-2 Google Scholar
  34. Sheikhy Narany T, Ramli MF, Aris AZ, Sulaiman WNA, Juahir H, Fakharian K (2014) Identification of the hydrogeochemical processes in groundwater using classic integrated geochemical methods and geostatistical techniques, in amol-babol plain, Iran. Sci World J 2014:1–15. doi: 10.1155/2014/419058 CrossRefGoogle Scholar
  35. Subba Rao N (2001) Geochemistry of groundwater in parts of Guntur district, Andhra Pradesh, India. Env Geol 41(5):552–562. doi: 10.1007/s002540100431 CrossRefGoogle Scholar
  36. Thilagavathi R, Chidambaram S, Prasanna MV, Thivya C, Singaraja C (2012) A study on groundwater geochemistry and water quality in layered aquifers system of Pondicherry region, southeast India. Appl Water Sci 2(4):253–269. doi: 10.1007/s13201-012-0045-2 CrossRefGoogle Scholar
  37. Todd DK (1980) Groundwater hydrology (2nd ed., p 315). New York: Wiley 31Google Scholar
  38. Wilcox LV (1955) Classification and use of irrigation waters, USDA, circular 969, Washington DC, USAGoogle Scholar
  39. World Health Organization (2004) Guidelines for drinking-water quality: recommendations (Vol. 1). World Health OrganizationGoogle Scholar

Copyright information

© The Author(s) 2017

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  1. 1.Department of Earth SciencesPondicherry UniversityPuducherryIndia

Personalised recommendations