Literature DB >> 29900401

Groundwater quality assessment for drinking and agriculture purposes in Abhar city, Iran.

Khadijeh Jafari1, Farzaneh Baghal Asghari2, Edris Hoseinzadeh3, Zahra Heidari4, Majid Radfard5,6, Hossein Najafi Saleh6, Hossein Faraji7.   

Abstract

The main objective of this study is to assess the quality of groundwater for drinking consume and agriculture purposes in abhar city. The analytical results shows higher concentration of electrical conductivity (100%), total hardness (66.7%), total dissolved solids (40%), magnesium (23%), Sulfate (13.3%) which indicates signs of deterioration as per WHO and Iranian standards for drinking consume. Agricultural index, in terms of the hardness index, 73.3% of the samples in hard water category and 73.3% in sodium content were classified as good. Therefore, the main problem in the agricultural sector was the total hardness Water was estimated. For the RSC index, all 100% of the samples were desirable. In the physicochemical parameters of drinking water, 100% of the samples were undesirable in terms of electrical conductivity and 100% of the samples were desirable for sodium and chlorine parameters. Therefore, the main water problem in Abhar is related to electrical conductivity and water total hardness.

Entities:  

Keywords:  Abhar; Agricultural indicator; Drinking indicator; Groundwater; Iran

Year:  2018        PMID: 29900401      PMCID: PMC5997924          DOI: 10.1016/j.dib.2018.05.096

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of data Determination of the Agricultural and drinking water indices including SAR, %Na, SSP,MH, KR,RSC, EC, Ca2+, Mg+2,pH, TDS, TH, HCO3-, Na+, K+, Cl−, and SO42− in ground water was conducted in Abhar city, Iran. The level of EC, TDS and total hardness in the water samples indicates that maximum of them are unsuitable for drinking consume. Agricultural indices such as SAR and SSP indicated 100, 90% of samples in the studied area had SAR and SSP values within the excellent category respectively for irrigation purposes. Data of this study can help to better understand the quality of groundwater in this area. The present data d study recommends that regular monitoring of groundwater is essential to avoid major environmental threat

Data

Summary of the physical and chemical variables for the collected groundwater samples were presented in Table 1, The analytical results shows higher concentration of electrical conductivity (100%), total hardness (66.7%), total dissolved solids (40%), magnesium (23%), Soulphat (13.3%) which indicates signs of deterioration as per WHO and Iranian standards for drinking consume Table 2.
Table 1

Water level and physico-chemical analyses of groundwater samples of study area collected during 2016 year.

Well nopHNa+Mg2+Ca2+ClK+CO3HCO3SO4TDSECT.H
(mg/L)(mg/L)(mg/L)(mg/L)(mg/L)(mg/L)(mg/L)(mg/L)(mg/l)(μmhos/cm)(mg/l)
P17.2677.5132.5581.463.551.950419.6868.166401045338
P27.5436.1131.1042.419.531.560273.2857.12400645234
P37.66119.3719.0058.260.711.170195.2220.8640998224
P45.98117.0729.65145.437.282.730580.72190.089501516486
P57.0245.0823.3549.623.431.170248.8874.88410658220
P66.9773.3733.0350.435.152.340346.4883.04540875262
P77.16121.929.6567.847.221.170195.2310.087401153292
P87.3454.0516.5856.624.501.170297.6845.12420676210
P97.2755.225.2968.645.091.950307.4474.88510817276
P107.2159.832.5557.431.243.120341.680.16530848278
P117.5864.6330.6144.827.342.730307.4481.12490786238
P127.1380.9627.7198.266.741.950458.72606801098360
P137.3623.2334.0042.415.621.170263.5252.8370613246
P147.2262.126.2655.232.311.560326.9661.92490788246
P157.3137.9520.4568.629.471.560307.4439.84430698256
P167.2667.3921.906327.341.560297.68104.16510815248
P177.3582.5714.6440.829.471.560263.5279.2440706162
P187.3225.999.6839.213.850.780180.5624.96250402138
P197.4332.27.744822.720.780195.226.88280458152
P207.5141.47.7446.414.561.170195.252.8310494148
P217.47114.7724.3281.447.221.560258.64260.167301143304
P227.4428.298.7141.615.620.780185.4424260417140
P237.33105.820.455934.441.170278.16172.8610962232
P247.4621.8510.6547.210.650.780204.9623.04270434162
P257.0746.9221.4260.631.241.560287.9257.12440707240
P267.3233.817.745216.690.780165.9270.08310490162
P277.2429.910.1657.425.560.780190.3254.24320518186
P287.3778.6614.1641.631.240.780200.08116.16440693162
P297.36126.7333.0365.451.121.950263.52271.27601190300
P307.4225.38.2339.215.620.780175.6819.2240390132
Min6.021.97.739.210.70.80165.919.2240.0390.0132.0
Max7.7126.734.0145.466.73.10580.7310.1950.01516.0486.0
Ave7.363.021.159.031.51.50273.895.2480.3767.8234.5
SD0.2933.309.2521.5415.160.65092.4678.88176.78277.0677.64
Table 2

Quality of groundwater samples from Abhar city for drinking purpose compared with WHO and Iranian standard (1053) [1], [2], [3], [4], [5], [6], [7].

ParameterDesirable limit2016 Year samples(%)
Within limitsExceed limits
pH6.5–8.596.73.3
EC300 (μmhos/cm)0100
TDS500 (mg/L)6040
Total hardness200 (mg/L)33.366.7
SO42−200 (mg/L)86.713.3
Cl250 (mg/L)1000
Ca2+75 (mg/L)86.713.3
Mg2+30 (mg/L)76.723.3
Na+200 (mg/L)1000
Water level and physico-chemical analyses of groundwater samples of study area collected during 2016 year. Quality of groundwater samples from Abhar city for drinking purpose compared with WHO and Iranian standard (1053) [1], [2], [3], [4], [5], [6], [7]. As shown in Table 3, Table 4, the calculated SAR, SSP, PI, MH, KR and Na% values were compared with the groundwater quality classification, where 100,90% of samples in the studied area had SAR and SSP values within the excellent category respectively for irrigation purposes.
Table 3

Calculation of RSC, PI, KR, MH, Na%, SAR and SSP of groundwater for 2016 year.

Well IDRSCPIKRMHNa%SARSSP
P10.1259.160.5039.7933.601.8333.27
P2−0.2158.890.3354.8025.561.0325.08
P3−1.2872.171.1635.0453.813.4753.67
P4−0.255.200.5225.2134.682.3134.37
P5−0.3362.480.4443.7631.091.3230.77
P60.4366.030.6152.0038.241.9737.80
P7−2.6463.630.9141.9547.723.1047.58
P80.6869.600.5632.6236.171.6235.88
P9−0.4858.650.4337.8630.741.4430.30
P100.0460.860.4748.3832.521.5631.86
P110.2766.690.5953.0437.651.8237.07
P120.3258.420.4931.8133.151.8632.84
P13−0.6151.990.2057.0017.420.6417.00
P140.4365.730.5544.0235.721.7235.39
P15−0.0857.530.3233.0124.821.0324.37
P16−0.0865.130.5936.4937.451.8637.14
P171.0782.871.1037.2352.762.8252.49
P180.273.280.4128.9929.410.9629.05
P190.1671.820.4621.0531.841.1431.53
P200.2475.400.6121.6238.201.4837.82
P21−1.8463.680.8233.0645.272.8645.08
P220.2473.790.4425.7130.861.0430.52
P23−0.0872.890.9936.4249.953.0249.78
P240.1266.420.2927.1623.040.7522.67
P25−0.0861.590.4336.8830.231.3229.82
P26−0.5266.230.4519.7531.501.1531.21
P27−0.5961.200.3522.6426.240.9525.95
P280.0378.431.0536.0051.422.6851.27
P29−1.6865.930.9245.5048.103.1847.87
P300.2474.790.4225.7629.790.9629.41
Min−2.6451.990.2019.7517.420.6417.00
Max1.0782.871.1657.0053.813.4753.67
Ave−0.2066.020.5836.1535.631.7635.30
SD0.787.280.2610.409.310.819.38
Table 4

Classification of groundwater sample for irrigation use on the basic of EC, SAR, RSC, KR, SSP, PI, MH, Na%, T.H.

ParametersRangeWater classSamples (%)
2016 Year
EC<250ExcellentNil
250–750Good53.3
750–2250Permissible46.7
>2250DoubtfulNil
SAR0–10Excellent100
10–18GoodNil
18–26DoubtfulNil
>26UnsuitableNil
RSC<1.25Good100
1.25–2.5DoubtfulNil
>2.5UnsuitableNil
KR<1suitable90
1–2Marginal suitable10
>2UnsuitableNil
SSP<50Good90
>50Unsuitable10
PI>75Class-I10
25–75Class-II90
<25Class-IIINil
MH<50Suitable86.7
>50Harmful &Unsuitable13.3
Na%<20Excellent3.3
20–40Good73.3
40–60Permissible23.4
60–80DoubtfulNil
>80UnsuitableNil
T.H<75SoftNil
75–150Moderately Hard13.3
150–300Hard73.3
>300Very Hard13.4
Calculation of RSC, PI, KR, MH, Na%, SAR and SSP of groundwater for 2016 year. Classification of groundwater sample for irrigation use on the basic of EC, SAR, RSC, KR, SSP, PI, MH, Na%, T.H.

Experimental design, materials and methods

Study area description

Abhar is one of the cities of Zanjan province and Abhar city center. The city with 99,285 people in 2016 is considered as the second most populated city of Zanjan province after Zanjan city. The height of Abhar city is 1540 m. The maximum relative humidity in the city is 94.4% and at least 23.3%. The average annual rainfall is 300 mm. This area is considered as a semi-cold and dry in Iran country [8] (Fig. 1).
Fig. 1

Location of the study area in Abhar city, Zanjan province, Iran.

Location of the study area in Abhar city, Zanjan province, Iran.

Determination of the physico-chemical parameters concentration and agricultural indicators

In order to assess the physico-chemical parameters, a total of 30 samples taken from Abhar County (Fig. 1). Water samples were collected in a plastic container of 1-L capacity for detailed chemical analysis from all observation wells. These containers were washed thoroughly with distilled water and dried before being filled with water samples. The containers were numbered serially along with a proper record of well/sample location, date, static water level, and prior to the sampling. Groundwater samples were collected after the well was subjected to pumping for at least 5–10 min to obtain the composite sample. The pH and EC of the groundwater of the wells were measured by using HACH HQ40d and its in situ values are recorded [9], [10], [11], [13], [14], [15]. The samples were collected and stored below 4 °C and analyzed in the Centre for Water Resources Development and Management (CWRDM). Water samples collected in the field for chemical constituents, such as TDS, TH, Ca2+, Mg2+, CO32−, HCO3−, Na+, Cl− and SO42−, were analyzed following the BIS standard. EC, pH and chloride (Cl-) were analyzed using multiple parameters ion meter model Thermo Orion 5 Star. Sulfate (SO4 4−2) was measured using a double beam UV–Vis spectrophotometer model Perkin Elmer Lambda 35 by turbid-metric, stannous chloride, and molybdosilicate, respectively. Sodium (Na+), calcium (Ca2+) and magnesium (Mg2+) were analyzed using flame photometer model CL-378 (Elico, India). Total hardness was determined by EDTA titrimetric method [1], [16], [17], [18]. TDS was measured gravimetrically and Agricultural indicator such as SAR, RSC, PI, KR, and MH, % Na, SSP and TH were calculated by their formulas presented in Table 5.
Table 5

Summary of water quality indices in present study [1].

IndicesFormula
Residual sodium carbonate (RSC)RSC=(CO32− + HCO3)+(Ca2+ + Mg2+)
Permeability index (PI)PI=Na+K+HCO3Ca+Mg+Na+K×100
Kelly׳s ratio (KR)KR=NaCa+Mg
Magnesium hazard(MH)MH=MgCa+Mg×100
Sodium percentage (Na %)Na%=Na+KCa+Mg+Na+K×100
Sodium adsorption ratio (SAR)SAR=Na(Ca+Mg)/2×100
Soluble sodium percentage (SSP)SSP=NaCa+Mg+Na×100
Summary of water quality indices in present study [1].
Subject areaChemistry
More specific subject areaDescribe narrower subject area
Type of dataTables and figure
How data was acquiredEC, pH and chloride were analyzed using multiple parameters ion meter model Thermo Orion 5 Star. Sulfate (SO4−2) was measured using a double beam UV–Vis spectrophotometer model Perkin Elmer Lambda 35 by turbid-metric, stannous chloride, and molybdo silicate, respectively. Sodium, calcium and magnesium were analyzed using flame photometer model CL-378 (Elico, India). Total hardness was determined by EDTA titrimetric method. TDS was measured gravimetrically). Agricultural indicator such as SAR, RSC, PI, KR, MH, and PS, % Na, SSP and TH were calculated using the Their formulas.
Data formatRaw, Analyzed
Experimental factorsAll water samples in polyethylene bottles were stored in a dark place at room temperature until the metals analysis
Experimental featuresDetermine the content levels of physical and chemical parameters
Data source locationAbhar, Zanjan province,Iran
Data accessibilityData are included in this article
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