Literature DB >> 29349110

Data on assessment of groundwater quality for drinking and irrigation in rural area Sarpol-e Zahab city, Kermanshah province, Iran.

Hamed Soleimani1, Abbas Abbasnia1, Mahmood Yousefi1, Ali Akbar Mohammadi2, Fazlollah Changani Khorasgani1.   

Abstract

In present study 30 groundwater samples were collected from Sarpol-e Zahab area, Kermanshah province of Iran in order to assess the quality of groundwater in subjected area and determining its suitability for drinking and agricultural purposes. Also the variations in the quality levels of groundwater were compared over the years of 2015 and 2016. Statistical analyses including Spearman correlation coefficients and factor analysis display good correlation between physicochemical parameters (EC, TDS and TH) and Na+, Mg2+, Ca2+, Cl- and [Formula: see text] ionic constituents. Also in order to assess water quality for irrigation we used the United States Department of Agriculture (USDA) classification which is based on SAR for irrigation suitability assessment. In addition, the residual sodium carbonate (RSC), %Na, PI, KR, SSP, MH, EC characteristics were calculated for all samples and used for assessment of irrigation suitability. Based on these indicators, for every two years, the quality of water for agriculture is in good and excellent category. The Piper classification for hydro geochemical facies indicates that the water in the study area is of Ca-HCO3- type. However, the study of water hardness shows that more than 80% of samples are in hard and very hard water class. Therefore, there is a need for decisions to refine and soften the water.

Entities:  

Keywords:  Groundwater quality index; Iran; Rural area; Sarpol-e Zahab

Year:  2018        PMID: 29349110      PMCID: PMC5767897          DOI: 10.1016/j.dib.2017.12.061

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


Specifications Table Value of the data Determination of the physical and chemical parameter including EC, pH, TDS, TH, Ca, Mg, CO3, HCO3, Na, K, Cl and SO4 in ground water was investigated in rural area, Sarpol-e Zahab city, Iran. Due to limited studies in the study area, the data of this study can help to better understand the quality of groundwater in the area and provide further studies. The result of data analysis shows that water in this area is suitable for agricultural according to calculated indices.

Data

The data presented here deal with monitoring of physical and chemical characteristics of groundwater including pH, EC, TDS, HCO3, CO3, SO4, Cl, Ca, Mg, and Na as well as in Sarpol-e Zahab city, Kermanshah, Iran. The study area and the sampling points are shown in Fig. 1. Also a summary of water quality characteristics are presented in Table 1, Table 2. Results of quality assessment of groundwater samples from rural area in city for drinking purpose (BIS standard) are presented in Table 3, Table 4 [1]. Also classification of groundwater samples for irrigation use on the basis of EC, SAR, RSC, KR, SSP, PI, MH, Na%, T.H are presented in Table 5. Finally, the Piper diagram indicates that the Hydrochemical type of water is of Ca-HCO3 type (Fig. 2) (Table 6, Table 7).
Fig. 1

The map and location of sampling villages.

Table 1

Water level and physico-chemical analyses of groundwater samples of study area collected during 2015 year.

WellpHNaMgCaClCO3HCO3SO4TDSECT.H
no(mg/L)(mg/L)(mg/L)(mg/L)(mg/L)(mg/L)(mg/L)(mg/l)(μmhos/cm)(mg/l)
P17.335.7521.789017.750335.525.44430672315
P27.474.620.577814.20311.113.44376587280
P37.484.616.947610.650292.813.44354553260
P48.075.7512.16410.650189.149.44292457210
P57.1925.0718.159028.40335.536.96465715300
P67.3820.0114.528024.85030516.8395617260
P78.034.620.575814.2024418.24316493230
P88.156.4429.045817.750262.336.48365570265
P97.77.3618.159017.75030538.4412644300
P107.712.7616.945610.650225.714.4272425210
P117.558.9733.889217.750408.727.36519798370
P128.283.6816.946210.65024416.32306478225
P137.622.7618.155410.650225.714.4283442210
P147.814.616.947610.650280.623.04351548260
P158.043.6819.365410.650231.816.32295461215
P168.066.4412.15810.650219.612.48274428195
P177.711.3815.73527.10213.511.52265414195
P187.455.7521.788014.2030530.24393614290
P197.684.616.947210.650280.613.44342534250
P207.654.616.948014.20298.913.44367573270
P217.975.7525.417614.2030535.04401626295
P227.714.619.367010.650262.332.64346540255
P237.3511.7333.8810024.850408.742.72550846390
P247.463.6816.946010.65024411.52302472220
P257.662.7618.15507.10225.79.6269420200
P267.289.8925.418421.30347.719.68438685315
P278.182.0710.896610.650225.712.96284444210
P287.734.613.319014.2030518.24381596280
P297.513.6815.73687.10268.411.52319499235
P3085.0626.627014.20317.214.4384600285
Min7.21.410.950.07.10.0189.19.6265.0414.0195.0
Max8.325.133.9100.028.40.0408.749.4550.0846.0390.0
Ave7.76.219.471.814.00.0280.821.7358.2558.4259.8
SD0.305.005.7713.955.350.0054.1211.0273.08111.4749.30
Table 2

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

WellpHNaMgCaClCO3HCO3SO4TDSECT.H
no(mg/L)(mg/L)(mg/L)(mg/L)(mg/L)(mg/L)(mg/L)(mg/l)(μ mhos/cm)(mg/l)
P17.314.9542.3510431.950378.2107.04614944435
P27.583.6824.26010.650274.516.32336525250
P37.635.7512.16010.650219.615.84281439200
P47.742.7616.945410.650219.614.4276432205
P57.2725.0722.998024.850359.917.76463712295
P67.543.6824.25610.650262.316.32323505240
P77.544.625.417410.650323.318.24388607290
P87.567.3625.417414.20329.414.4401627290
P97.832.7615.735410.650213.514.4268418200
P107.297.3624.28217.750341.614.4420656305
P117.847.3610.896010.650219.614.4275430195
P127.748.9720.577610.65030527.36383598275
P137.425.7525.417417.750317.215.84392612290
P147.634.622.997010.650298.918.24364569270
P157.465.7524.26817.750292.815.84372581270
P167.584.622.998010.650329.418.24397620295
P177.567.3624.27814.20335.514.4405633295
P187.538.9718.158417.750317.217.76398622285
P197.343.6821.786010.650262.316.32324506240
P207.872.7624.24810.650237.914.4274428220
P217.344.619.367010.650280.618.24344538255
P227.627.3618.154810.650219.614.4279436195
P237.595.7515.735810.650231.815.84292457210
P247.5714.9538.7211031.950396.592.64616497435
P257.066.4427.837610.650335.526.88414647305
P267.522.7620.574810.650219.614.4278435205
P277.334.625.415010.65024423.04312487230
P287.239.8936.39617.750451.414.88541833390
P297.268.0529.048821.3030559.04470723340
P307.215.7529.048010.650353.825.44431673320
Min7.12.810.948.010.70.0213.514.4268.0418.0195.0
Max7.925.142.35110.032.00.0451.4107.0616.0944.0435.0
Ave7.56.923.670.714.30.0295.924.2377.7573.0274.3
SD0.204.606.9416.276.150.0060.7022.3094.10126.5464.62
Table 3

Calculation of RSC, PI, KR, MH, Na%, SAR and SSP of groundwater for 2015and 2016 years.

Well2015 Year
2016 Year
IDRSCPIKRMHNa%SARSSPRSCPIKRMHNa%SARSSP
P1− 0.8039.620.0428.573.820.143.82− 2.533.580.0740.236.950.316.95
P2− 0.5042.380.0430.363.450.123.45− 0.544.210.0340.003.100.103.10
P3− 0.4044.280.0426.923.700.123.70− 0.450.530.0625.005.880.185.88
P4− 1.1045.180.0623.815.620.175.62− 0.547.800.0334.152.840.082.84
P5− 0.5048.450.1825.0015.370.6315.37050.340.1832.2015.590.6315.59
P6− 0.2051.170.1723.0814.330.5414.33− 0.545.030.0341.673.230.103.23
P7− 0.6045.830.0436.964.170.134.17− 0.541.700.0336.213.330.123.33
P8− 1.0042.180.0545.285.020.175.02− 0.443.200.0636.215.230.195.23
P9− 1.0040.440.0525.005.060.185.06− 0.548.320.0332.502.910.082.91
P10− 0.5047.300.0333.332.780.082.78− 0.541.840.0532.794.980.184.98
P11− 0.7038.230.0537.845.010.205.01− 0.352.540.0823.087.580.237.58
P12− 0.5046.350.0431.113.430.113.43− 0.544.590.0730.916.620.246.62
P13− 0.5047.300.0335.712.780.082.78− 0.641.820.0436.214.130.154.13
P14− 0.6043.420.0426.923.700.123.70− 0.543.100.0435.193.570.123.57
P15− 0.5047.300.0437.213.590.113.59− 0.643.200.0537.044.420.154.42
P16− 0.3052.090.0725.646.700.206.70− 0.541.370.0332.203.280.123.28
P17− 0.4048.760.0233.331.520.041.52− 0.442.850.0533.905.140.195.14
P18− 0.8041.090.0431.034.130.154.13− 0.543.850.0726.326.400.236.40
P19− 0.4045.090.0428.003.850.133.85− 0.545.030.0337.503.230.103.23
P20− 0.5043.100.0425.933.570.123.57− 0.546.350.0345.452.650.082.65
P21− 0.9040.420.0435.594.070.154.07− 0.544.240.0431.373.770.133.77
P22− 0.8042.900.0431.373.770.133.77− 0.352.540.0838.467.580.237.58
P23− 1.1037.290.0735.906.140.266.14− 0.449.420.0630.955.620.175.62
P24− 0.4047.370.0431.823.510.113.51− 2.234.220.0736.786.950.316.95
P25− 0.3049.600.0337.502.910.082.91− 0.641.150.0537.704.390.164.39
P26− 0.6041.860.0733.336.390.246.39− 0.547.800.0341.462.840.082.84
P27− 0.5046.940.0221.432.100.062.10− 0.645.830.0445.654.170.134.17
P28− 0.6042.000.0419.643.450.123.45− 0.438.280.0638.465.220.225.22
P29− 0.3046.450.0327.663.290.103.29− 1.836.170.0535.294.900.194.90
P30− 0.5042.240.0438.603.720.133.72− 0.639.970.0437.503.760.143.76
Min− 1.1037.290.0219.641.520.041.52− 2.5033.580.0323.082.650.082.65
Max− 0.2052.090.1845.2815.370.6315.370.0052.540.1845.6515.590.6315.59
Ave− 0.5944.560.0530.804.700.164.70− 0.6444.030.0535.415.010.185.01
SD0.243.730.045.963.000.123.000.544.790.035.272.500.112.50
Table 4

Quality of ground water sample samples from rural area in Sarpol-e Zahab city for drinking purpose (BIS standard) [2].

ParameterDesirable limit2015 Year samples (%)
2016 Year samples (%)
Within limitsExceed limitsWithin limitsExceed limits
pH6.5–8.510001000
EC300 (μmhos/cm)01000100
TDS500 (mg/L)93.36.79010
Total hardness200 (mg/L)13.486.62080
SO4200 (mg/L)10001000
Cl250 (mg/L)10001000
Ca75 (mg/L)53.346.76040
Mg30 (mg/L)93.36.79010
Na200 (mg/L)10001000
Table 5

Classification of groundwater sample for irrigation use on the basic of EC, SAR, RSC, KR, SSP, PI, MH, Na%, T.H [2].

ParametersRangeWater classSamples(%)
2015 Year2016 Year
EC< 250ExcellentNilNil
250–750Good93.393.3
750–2250Permissible6.76.7
>2250DoubtfulNilNil
SAR0–10Excellent100100
10–18GoodNilNil
18–26DoubtfulNilNil
> 26UnsuitableNilNil
RSC< 1.25Good100100
1.25–2.5DoubtfulNilNil
> 2.5UnsuitableNilNil
KR< 1suitable100100
1–2Marginal suitableNilNil
> 2UnsuitableNilNil
SSP< 50Good100100
> 50UnsuitableNilNil
PI> 75Class-INilNil
25–75Class-II100100
< 25Class-IIINilNil
MH< 50Suitable100100
> 50Harmful &UnsuitableNilNil
Na%< 20Excellent100100
20–40GoodNilNil
40–60PermissibleNilNil
60–80DoubtfulNilNil
> 80UnsuitableNilNil
T.H< 75SoftNilNil
75–150Moderately hardNilNil
150–300Hard86.776.7
> 300Very hard13.323.3
Fig. 2

The Piper diagram indicates that the hydrochemical type of water.

Table 6

Summary of water quality indices in present study.

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
Table 7

Pearson's correlation coefficient.

pHNaMgCaHCO3CLSO4TDSECTH
pH1
Na− 0.416**1
Mg− 0.424**0.30*1.00
Ca− 0.451**0.578**0.544**1.00
HCO3− 0.569**0.551**0.753**0.884**1
CL− 0.384**0.820**0.572**0.749**0.672**1
SO4− 0.1480.425**0.591**0.581**0.389**0.678**1
TDS− 0.516**0.641**0.799**0.924**0.938**0.829**0.671**1
EC− 0.551**0.573**0.695**0.835**0.895**0.690**0.462**0.890**1
TH− 0.499**0.523**0.836**0.915**0.940**0.764**0.663**0.988**0.880**1

Correlation is significant at the 0.01 level (2-tailed).

Correlation is significant at the 0.05 level (2-tailed).

The map and location of sampling villages. The Piper diagram indicates that the hydrochemical type of water. Water level and physico-chemical analyses of groundwater samples of study area collected during 2015 year. Water level and physico-chemical analyses of groundwater samples of study area collected during 2016 year. Calculation of RSC, PI, KR, MH, Na%, SAR and SSP of groundwater for 2015and 2016 years. Quality of ground water sample samples from rural area in Sarpol-e Zahab city for drinking purpose (BIS standard) [2]. Classification of groundwater sample for irrigation use on the basic of EC, SAR, RSC, KR, SSP, PI, MH, Na%, T.H [2]. Summary of water quality indices in present study. Pearson's correlation coefficient. Correlation is significant at the 0.01 level (2-tailed). Correlation is significant at the 0.05 level (2-tailed).

Experimental design, materials and methods

Description of study area

Sarpol-e Zahab city in Kermanshah province are located in west of Iran between the latitudes 34.4514 ° N and longitudes 45.8612 °E, encompassing an area of about 935.2 km2. Also the SarPol-e Zahab city has a cold and dry climate and the average altitude of the city is 550 m above sea level. It is worth noting that the average rainfall is 111 mm, with the minimum and maximum temperature of 1/1 ° C and 11.3 ° C, respectively.

Materials and methods

In order to assess the physico-chemical parameters, a total of 30 groundwater samples were collected from Sarpol-e Zahab city between years the of 2015 and 2016 (Fig. 1). Sampling was conducted with one‑liter polyethylene bottles which were immersed in nitric acid for 24 h then washed with 10% HCL and finally washed with distilled water. Before the samples were taken, sampling containers had been rinsed at least three times with water. Experiments have been done in two total categories of system tests and titrimetric tests including temporary and permanent hardness, calcium, magnesium and chloride. Also system tests including PH and electrical conductivity (EC) measured by PH meter device (pHwtw model) and Esi meter (wbw), respectively. The analysis of anions and cations of sulfate was also done by spectrophotometer Hatch (DR 5000 model) in water and wastewater laboratory of Kermanshah. Total hardness was determined by EDTA titrimetric method and TDS was measured gravimetrically [2], [3], [4], [5], [6], [7], [8], [9], [10]. Statistical analyses including Spearman correlation coefficients and factor analysis display good correlation between physicochemical parameters (EC, TDS and TH) and Na+, Mg2+, Ca2+, Cl− as well as ionic constituents of groundwater with SPSS (IBM Corp. Released 2016. IBM SPSS Statistics for Windows, Version 24.0. Armonk, NY: IBM Corp). Finally, in order to understand chemical character of the groundwater and relationships between the dissolved ionic constituents, the hydrochemical data has been plotted on Piper diagram (Piper 1944) using AqQA software (Fig. 2).
Subject areaChemistry
More specific subject areaDescribe narrower subject area
Type of dataTables and figures
How data was acquiredExperiments have been done in two total categories of system tests and titrimetric tests including temporary and permanent hardness, calcium, magnesium and chloride. Also system tests including pH and electrical conductivity (EC) measured by pH meter device (pHwtw model) and Esi meter (wbw), respectively. The analysis of anions and cations of sulfate was also done by spectrophotometer Hatch (DR 5000 model) in water and wastewater laboratory of Kermanshah. Total hardness was determined by EDTA titrimetric method and TDS was measured gravimetrically.
Data formatRaw, Analyzed
Experimental factorsAll water samples in polyethylene bottles were stored in a dark place at room temperature until the metals analysis
Experimental featuresThe mentioned parameters above, in abstract section, were analyzed according to the standards for water and wastewater treatment handbook.
Data source locationSarpol-e Zahab, Kermanshah province, Iran
Data accessibilityData are included in this article and supplement file excel
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