Literature DB >> 29159228

Data on water quality index for the groundwater in rural area Neyshabur County, Razavi province, Iran.

Mahmood Yousefi1,2, Hossein Najafi Saleh3, Ali Akbar Mohammadi4,2, Amir Hossein Mahvi2,5, Mansour Ghadrpoori6, Hamed Suleimani2.   

Abstract

Public health is at risk from physical and chemical contaminants in the drinking water which may have immediate health consequences. The data from the current study was evaluated for groundwater quality in the rural villages of Neyshabur County in Iran. For determination of the essential physicochemical parameters, water samples were collected from 30 randomly-selected water wells during 2013 and 2014. The samples were tested in situ to measure physical parameters of pH and electrical conductivity and chemical parameters of total dissolved solids, total hardness and levels of calcium, magnesium, carbonates, bicarbonates, sodium, potassium, chloride and sulfates. The APHA method was applied to determine the physicochemical parameters of the water samples.

Entities:  

Keywords:  Ground water quality index; Rural area, Neyshabur, Iran

Year:  2017        PMID: 29159228      PMCID: PMC5681322          DOI: 10.1016/j.dib.2017.10.052

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


Specifications Table Value of data Determination of the levels of the physical and chemical parameters of EC, pH, TDS, TH, Ca, Mg, CO3, HCO3, Na, K, Cl and SO4 in groundwater in the rural villages of Neyshabur county in Iran. The result of analysis of the data shows that the water in this area is not desirable for drinking. The levels of SSP, Na and TH were high during both years, indicating that most of the groundwater locations were not suitable for irrigation purposes.

Data

The data was collected for analysis of the physical and chemical parameters of pH, EC, TDS, HCO3, CO3, SO4, Cl, Ca, Mg and Na in the groundwater of Neyshabur county in Iran. Fig. 1 shows the study area and the sampling points. A summary of water quality characteristics is presented in Table 1, Table 2, Table 3. The results for groundwater quality are presented in Table 4. The classification of groundwater samples for use in irrigation based on the results for EC, SAR, RSC, KR, SSP, PI, MH, Na and TH is presented in Table 5.
Fig. 1

The map and location of sampling villages.

Table 1

Water level and physicochemical analyses of ground water samples of study area collected during 2013.

WellpHNa+Mg+2Ca+2ClK+CO3−2HCO3SO4−2TDSECT.H
no(mg/l)(mg/l)(mg/l)(mg/l)(mg/l)(mg/l)(mg/l)(mg/l)(mg/l)(μmhos/cm)(mg/L)
P1875.918.152028.400164.7115.2346.5550125
P27.9124.265.3480173.9500237.9297.6907.21440470
P38.2266.829.0424191.700244283.29451500180
P47.8319.736.386436.650085.4355.21341.92130365
P57.8319.720.5754326.60079.3374.41152.91830220
P67.9271.450.82106401.1500256.22881278.92030475
P77.8195.532.6796276.900207.4240974.611547375
P87.6920116.16304156285.80262.3902.44151.765901240
P97.7740.6188.761841100.570.2018312003628.857601240
P107.71288111.322562130144.30195.2897.6504080001100
P117.9722.296.81401153.823.4091.562429614700750
P128.2423.241.1472550.2500109.8379.21600.22540350
P137.81127104.062921952.51170103.7897.64630.573501160
P147.91173104.062801988120.9097.6926.4472575001130
P158.2724.5104.0688869.7523.40231.881627094300650
P168.1347.333.8864436.6500170.8297.61304.12070300
P178.2821.167.7674940.7500183748.82822.44480465
P188142.641.145814200274.5201.6737.11170315
P198.2338.148.446525.400140.3187.21310.42080315
P208.8379.56.056326.6018183211.21088.6172840
P2181150113.741721863.8136.5091.5849.64422.67020900
P228.1724.5104.06114106523.40115.96962923.24640715
P237.91564113.742722591.5183.3067.11046.4592294001150
P2491281.144.77261295.8120.960317.2974.43937.56250250
P258.2676.293.17146120715.60225.7331.22822.44480750
P26820.721.785028.400170.886.4298.62474215
P278.475.914.522442.6024140.376.8335.16532120
P288.443.721.783631.95012201.348321.3510180
P298.2285.216.9452319.500152.5235.21030.11635200
P308.118.419.363624.8500158.648245.7390170
Min7.618.46.05624.850067.148245.739040
Max91564188.763042591.5183.360317.21200592294001240
Ave8.0755262.68108.6799.535.493.8171.41487.842197.13487.5530.5
SD0.30445.2144.3689.89738.556.4412.0565.84351.131683.12671.57386.23
Table 2

Water level and physico-chemical analyses of ground water samples of study area collected during 2014.

WellpHNa+Mg+2Ca+2ClK+CO32HCO3SO42TDSECT.H
no(mg/l)(mg/l)(mg/l)(mg/l)(mg/l)(mg/l)(mg/l)(mg/l)(mg/l)(μmhos/cm)(mg/l)
P18.1103.520.572667.4500170.8144445.41707150
P28.2200.16.0520149.100122196.8648.9103075
P38.4255.329.0422188.15018225.7249.6900.91430175
P48331.238.727642600109.8364.81348.22140350
P58.1317.429.0448337.2500103.73601165.51850240
P67.9305.950.82100390.500286.73361367.12170460
P78200.136.380276.900183240975.241548350
P87.9920108.93001544.3105.30268.49124145.465801200
P98.1736200.861721082.862.40213.512003666.658201260
P108.11324.8118.582242165.5132.60195.2864504080001050
P118.150641.1486656.7500183393.61864.82960385
P128.1740.6108.91241189.331.20109.86242973.64720760
P138.3425.542.3570550.2502497.6364.81606.52550350
P147.91094.8106.482841917105.30109.8849.6459973001150
P157.91163.894.382921970.31170122897.64743.975301120
P168.3680.8106.486885211.718195.26962601.94130610
P178.8349.638.7236418.9024103.7283.212602000250
P188.139188.3394667.400109.84081808.12870600
P198.3147.247.1948145.55012207.4240774.91230315
P208.532250.8238489.9018122187.21241.11970305
P218.8384.19.688347.9030170.8211.21118.9177660
P228.336853.2446443.75024158.6321.61430.12270335
P238.4749.896.81101029.519.51885.4748.82929.54650675
P248.31495116.162362485179.41848.8945.65632.289401070
P258.310351211341597.589.71879.3825.63994.26340835
P269.4121954.45301331.385.8102109.8897.63824.16070300
P278.416.126.625228.4024152.576.8327.6520240
P288.464.419.362235.5012146.486.4330.75525135
P298.541.435.092035.5012201.357.6342.09543195
P308.2285.224.246319.500164.7249.61030.71636215
Min7.916.16.18.028.40.00.048.857.6327.6520.060.0
Max9.41495.0200.9300.02485.0179.4102.0286.71200.05632.28940.01260.0
Ave8.3539.164.097.1771.331.312.4151.9474.42137.93393.5507.2
SD0.32415.6844.8187.05701.7751.5219.8056.51322.671599.952539.61374.27
Table 3

Calculation of RSC, PI, KR, MH, Na%, SAR and SSP of ground water for 2013 and 2014.

Well2013
2014
IDRSCPIKRMHNa%SARSSPRSCPIKRMHNa%SARSSP
P10.285.21.360.056.93.056.9−0.282.311.5056.67603.760.0
P2−5.549.80.657.436.52.536.50.599.165.8033.3385.2910.085.3
P30.489.53.266.776.38.676.30.889.203.1768.5776.038.476.0
P4−5.971.11.941.165.67.365.6−5.273.562.0645.7167.297.767.3
P5−3.182.23.238.676.09.476.0−3.181.202.8850.0074.198.974.2
P6−5.365.01.244.255.45.455.4−4.568.751.4545.6559.116.259.1
P7−4.164.61.136.053.14.453.1−466.451.2442.8655.414.755.4
P8−20.564.91.638.763.011.461.7−19.665.781.6737.5064.0211.562.5
P9−21.859.51.362.957.89.156.5−21.759.211.2765.8757.149.055.9
P10−18.874.12.541.873.116.971.8−17.875.562.7446.6774.3917.873.3
P11−13.570.32.153.368.111.567.7−4.779.912.8644.1674.0711.274.1
P12−5.277.72.648.672.49.872.4−13.470.762.1259.2168.4611.767.9
P13−21.569.72.137.169.114.467.9−4.677.512.6450.0072.559.972.5
P14−2171.02.338.170.515.269.3−21.269.322.0738.2668.6214.067.4
P15−9.275.22.466.271.212.470.8−20.471.252.2634.8270.5315.169.3
P16−3.279.52.546.771.68.771.6−8.475.092.4372.1371.0212.070.8
P17−6.383.23.860.279.316.679.3−2.581.703.0464.0075.259.675.2
P18−1.866.61.054.049.63.549.6−10.263.251.4260.8358.626.958.6
P19−477.22.363.570.08.370.0−2.564.911.0261.9050.393.650.4
P202.8105.420.662.595.426.195.4−3.576.692.3068.8569.658.069.7
P21−16.575.32.852.274.816.773.52.6102.6413.9266.6793.3021.693.3
P2212.471.82.260.169.211.868.8−3.377.592.3965.6770.488.770.5
P2321.975.93.040.976.020.174.7−11.573.282.4159.2671.0312.570.7
P242.295.511.174.092.235.291.8−2076.273.0444.8676.4819.975.2
P2511.370.52.051.366.510.766.2−14.874.782.6959.8873.9115.672.9
P261.549.50.241.917.30.617.3−0.892.108.8375.0090.2030.689.8
P270.784.51.450.057.93.057.9−1.541.480.1545.8312.730.512.7
P280.167.60.550.034.51.434.50.179.081.0459.2650.912.450.9
P291.585.33.135.075.68.875.6−0.263.450.4674.3631.581.331.6
P300.857.40.247.119.00.619.0−1.684.092.8846.5174.258.574.3
Min21.949.50.21351.217.310.6117.3141.480.1533.3312.730.4512.73
Max2.8105.3920.637483.995.3835.2395.38102.6413.927593.3030.6093.30
Ave7.6773.842.8850.6727.6063.8010.4463.4475.212.7954.8166.5610.3866.23
SD8.1412.243.8610.7324.0618.077.6617.9511.942.6412.2315.886.3715.82
Table 4

Quality of ground water samples from rural area in Neyshabour County for drinking purpose (BIS standard).

ParameterDesirable2013 Year2014 Year
limitSamples (%)
Samples (%)
Within limitsExceed limitsWithin limitsExceed limits
pH6.5–8.593.36.785.314.7
EC300 (μmhos/cm)01000100
TDS500 (mg/L)16.783.313.386.7
T H200 (mg/L)23.376.72080
SO4−2200 (mg/L)20802080
Cl250 (mg/L)26.773.323.376.7
Ca+275 (mg/L)505053.346.7
Mg+230 (mg/L)307026.773.3
Na+200 (mg/L)26.773.316.783.3
Table 5

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

ParametersRangeWater classSamples (%)
2013 Year2014 Year
EC<250ExcellentNilNil
250–750Good16.713.3
750–2250Permissible36.736.7
>2250Doubtful46.750
SAR0–10Excellent56.760
10–18Good33.330
18–26Doubtful3.36.7
>26Unsuitble6.73.3
RSC<1.25Good93.396.7
1.25–2.5Doubtful93.3Nil
>2.5Unsuitble93.33.3
KR<1Suitble16.76.7
1–2Marginal suitble26.726.7
>2Unsuitble56.766.7
SSP<50Good16.76.7
>50Unsuitble83.393.3
PI>75Class-I46.753.3
25–75Class-II53.346.7
<25Class-IIINilNil
MH<50Suitble53.346.7
>50Harmful and Unsuitble46.753.3
Na%<20Excellent6.73.3
20–40Good6.73.3
40–60Permissible2023.3
60–80Doubtful6060
>80Unsuitble6.710
T.H<75Soft3.36.7
75–150Moderately Hard6.76.7
150–300Hard26.723.3
>300Very Hard63.363.3
The map and location of sampling villages. Water level and physicochemical analyses of ground water samples of study area collected during 2013. Water level and physico-chemical analyses of ground water samples of study area collected during 2014. Calculation of RSC, PI, KR, MH, Na%, SAR and SSP of ground water for 2013 and 2014. Quality of ground water samples from rural area in Neyshabour County for drinking purpose (BIS standard). Classification of Ground water 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

Nishabur County is located in Khorasan-e Razavi province in northeastern Iran and the county capital is the city of Nishabur. Nishabur County is located in a fertile plain at the foot of the Binalud Mountains. In this study, the three important wheat production regions of Bar, Barzanon and Eshghabad were selected as sampling points (Fig. 1).

Determination of the physicochemical parameters concentration

To assess the physicochemical parameters, 30 water samples were collected during 2013 and 2014 from villages in Nishabur County (Fig. 1). Twelve parameters that are characteristic of drinking water were measured. The water samples from all observation wells were stored in a plastic 1-liter container for detailed chemical analysis. These containers were washed thoroughly with distilled water and dried before being filled with the water samples. To obtain a composite sample, they were collected after the well was subjected to pumping for 5–10 min. The experiments were done using system and titrimetric testing for temporary and permanent hardness, calcium, magnesium and chloride levels. All sampling steps and data analysis was performed according to standard methods for water and wastewater [1], [2], [3], [4], [5] (Table 6).
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
Summary of water quality indices in present study.
Subject areaChemistry
More specific subject areaDescribe narrower subject area
Type of dataTable and figure
How data was acquiredAll experiments were done using titrimetric testing for temporary and permanent hardness, calcium, magnesium and chloride. System testing also included pH (WTW model) and electrical conductivity (ESI model). The analysis of sulfate anions and cations was done by spectrophotometry (DR 5000; Hach) in water. The total hardness and TDS were determined by the EDTA titrimetric method and gravimetry, respectively.
Data formatRaw, analyzed
Experimental factorsAll water samples were stored in polyethylene bottles in a dark place at room temperature.
Experimental features
Data source locationNeyshabour, Razavi Khorasan Province, Iran
Data accessibilityData are included in this article and supplement file excel
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