Literature DB >> 29552607

Water quality assessment for groundwater around a municipal waste dumpsite.

Olusola T Kayode1, Hilary I Okagbue2, Justina A Achuka1.   

Abstract

The dataset for this article contains geostatistical analysis of the level to which groundwater quality around a municipal waste dumpsite located in Oke-Afa, Oshodi/Isolo area of Lagos state, southwestern has been compromised for drinking. Groundwater samples were collected from eight hand-dug wells and two borehole wells around or near the dumpsite. The pH, turbidity, salinity, conductivity, total hydrocarbon, total dissolved solids (TDS), dissolved oxygen, chloride, Sulphate (SO4), Nitrate (NO3) and Phosphate (PO4) were determined for the water samples and compared with World Health Organization (WHO) drinking water standard. Notably, the turbidity, TDS, chloride and conductivity of some of the samples were above the WHO acceptable limits. Also, high quantities of heavy metals such as Aluminum and Barium were also present as shown from the data. The dataset can provide insights into the health implications of the contaminants especially when the mean concentration levels of the contaminants are above the recommended WHO drinking water standard.

Entities:  

Keywords:  Dumpsite; Environment; Geochemical analysis; Geostatistics; Groundwater; Waste; Water

Year:  2018        PMID: 29552607      PMCID: PMC5852294          DOI: 10.1016/j.dib.2018.01.072

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


Specification table

Value of the data

The data could be used to determine the level of chemical contamination dumpsites, volcanic erupted areas, chemical wastes sites, oil spillage sites and others areas of interest. The data could be helpful for concerned authorities and policy makers in water quality management. Findings can be extended to other metal or non-metal elements not considered in this article. The data could be used in auditing water quality.

Data

The data contains geostatistical and geochemical analysis of groundwater samples collected from eight (8) hand-dug wells and some borehole wells around or near the dumpsite. The dumpsites are located in Oshodi/Isolo area of Lagos State, South-western Nigeria. The parameters investigated are: pH, dissolved oxygen (DO), chlorine content (CC), total hardness content (THC), salinity, sulphate (), Nitrate (), Phosphate (), conductivity, total dissolved solids (TDS), turbidity, temperature and static water level (SWL). The static water level is not applicable to the two borehole wells. The results of the physio-chemical characteristic of the studied area are presented in Table 1. Results of the heavy metal analysis are presented in Table 2. The detailed descriptive statistics are presented in Table 3. Different measures of central tendency were compared with the WHO recommended limit and this is presented in Table 4.
Table 1

The physio-chemical characteristic of groundwater at the dumpsite.

ParametersW1W2W3W4W5W6W7W8W9W10
pH6.555.156.356.266.596.176.266.256.896.17
DO mg/l4.44.24.34.14.24.04.34.14.04.2
CC mg l9210811644200844016888344
THC mg/l200140236240228188120164652428
Salinity mg l0.180.220.230.090.400.170.080.340.180.69
SO4 mg/l0.070.091.211.271.010.060.080.052.092.12
NO3 mg/l1.202.302.502.601.902.201.761.243.502.90
PO4 mg/l0.090.061.200.100.700.052.101.703.203.00
Conduct mS/cm952454954101411519941007112016431123
TDS mg/l480211388249573496504561822399
Turbidity (NTU)4.52.72.91.53.26.92.22.96.96.5
Temp (°C)28.227.928.328.428.428.328.229.929.227.2
SWL m8N/A68.61356N/A24

W represents the sample (well and borehole), N.A means Not applicable, W2 and W8 are boreholes.

Table 2

Results for the heavy metals analysed on the 10 water samples (Acme Lab Canada).

AnalyteDilutionAlAsAuBBaBeBrCaCdCe
UnitppbppbppbppbppbppbPpbppmPpbppb
MDL110.50.0550.050.0550.050.050.01
WHO (ppb)200503002000255
SOLA 1Water11< 0.50.1434329.05< 0.0537063.050.06< 0.01
SOLA 2Water1250.7< 0.059042.460.0948236.210.280.13
SOLA 3Water1130.9< 0.0517733.15< 0.0570080.740.060.06
SOLA 4Water1100.5< 0.0511738.28< 0.0527893.940.100.05
SOLA 5Water116411.4< 0.0520203.40.3337148.840.2395.07
SOLA 6Water1131.0< 0.0514932.92< 0.0526661.60< 0.050.35
SOLA 7Water1890.8< 0.0517233.080.0713839.70< 0.050.22
SOLA 8Water1261.1< 0.0561127.50.0889048.950.1414.93
SOLA 9Water171.4< 0.05143876.14< 0.0526956.78< 0.050.78
SOLA 10Water1184.2< 0.052063116.8< 0.05354782.20< 0.050.25
1–16410.5–4.20.220–206329–203.40.07–0.33138–354736.21–93.940.06–0.240.05–95.07
184.31.26.4546373.280.0673161.200.08711.18
486.11.0750.166455.460.196318.190.09628.3

Al – Aluminium, As – Arsenic, Au – Gold, B – Boron, Ba – Barium, Br – Bromide, Be – Beryllium, Ca – Calcium, Cd – Cadmium, Ce – Cerium, MDL – MAXIMUM DETECTION LIMIT.

Table 3

The descriptive statistics of the parameters of the data.

ParametersMeanStandard errorMedianStandard deviationVarianceKurtosisSkewnessRangeMinMaxSum
pH6.260.146.260.450.214.54− 1.611.745.156.8962.64
DO mg/l4.180.044.200.130.02− 0.750.090.404.004.4041.80
CC mg l128.4028.6010090.448179.383.201.68304403441284
THC mg/l259.6051.20214161.9026,209.603.671.945321206522696
Salinity mg l0.260.060.200.180.033.191.680.610.080.692.58
SO4 mg/l0.810.270.550.850.72− 1.310.582.070.052.128.05
NO3 mg/l2.210.232.250.720.52− 0.240.192.301.203.5022.10
PO4 mg/l1.220.390.951.231.51− 1.190.603.150.053.212.2
Conduct mS/cm104.1291.391010.50288.9983,513.503.500.091189454164310,412
TDS mg/l468.3055.01488173.9730,264.901.050.476112118224683
Turbidity (NTU)4.020.653.052.044.17− 1.410.585.401.506.9040.20
Temp (°C)28.400.2328.30.720.521.800.752.7027.229.2284
Tablele 4

Comparison of the central tendency estimates with the WHO recommended limits.

ParametersWHO limit (2008)MeanMedian5% Trimmed meanHuMETBWHaMEAW
pH6.5–86.266.266.296.286.276.306.27
DO mg/l4.184.204.174.194.184.184.18
CC mg l250128.40100121.33107.1097.73102.2197.95
THC mg/l500259.60214245.56209.54191.66194.57191.66
Salinity mg l0.260.200.240.210.200.200.20
SO4 mg/l5000.810.550.770.650.620.690.63
NO3 mg/l502.212.252.192.212.192.212.19
PO4 mg/l0.061.220.951.181.041.081.121.08
Conduct mS/cm500104.121010.501040.391038.821036.731038.271036.69
TDS mg/l600468.30488462.94469.29452.74461.95450.01
Turbidity (NTU)4.04.023.0543.583.473.713.48
Temp (°C)2828.4028.328.3828.3028.2928.2828.30

HuME is the Huber's M-Estimator, TBW is the Tukey's bi-weight, HaME is the Hampel's M-Estimator, AW is the Andrew's wave.

The physio-chemical characteristic of groundwater at the dumpsite. W represents the sample (well and borehole), N.A means Not applicable, W2 and W8 are boreholes. Results for the heavy metals analysed on the 10 water samples (Acme Lab Canada). Al – Aluminium, As – Arsenic, Au – Gold, B – Boron, Ba – Barium, Br – Bromide, Be – Beryllium, Ca – Calcium, Cd – Cadmium, Ce – Cerium, MDL – MAXIMUM DETECTION LIMIT. The descriptive statistics of the parameters of the data. Comparison of the central tendency estimates with the WHO recommended limits. HuME is the Huber's M-Estimator, TBW is the Tukey's bi-weight, HaME is the Hampel's M-Estimator, AW is the Andrew's wave.

Experimental design, methods and materials

Several data analysis has been carried out on the physio-chemical, geochemical and geostatistical assessment of quality of groundwater [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16].

Study qrea and wample collection

The data was collected from the areas located around the dumpsite. The dumpsite is an extensive one which has been in existence in Oke-afa, Oshodi/Isolo Area of Lagos State for more than two decades. The detailed GPS coordinates elevation and distance from the dumpsite is presented in Table 5 while the map and GPS elevation map of the studied area can be seen in Figs. 1 and 2 respectively. The boreholes and hand dug wells around this dumpsite had been contaminated by the leachates from the dumpsite.
Table 5

GPS Readings and elevation from the 10 hand dug wells and boreholes.

SamplesLatitudeLongitudeDistance from dumpsite (m)Elevation (m)Water table (m)
W1N06.52889E003.319861013.08
W2N06.31471E003.13073417N/A
W3N06.52916E003.319741518.36
W4N06.52955E003.31991308.68.6
W5N06.52954E003.320274012.313
W6N06.52988E003.320263515.15
W7N06.52998E003.319942520.16
W8N06.31512E003.1905725018N/A
W9N06.31523E003.190055552
W10N06.3521E003.19014300304
Fig. 1

Map of Lagos showing the study area.

Fig. 2

GPS elevation map of the study area.

Map of Lagos showing the study area. GPS elevation map of the study area. GPS Readings and elevation from the 10 hand dug wells and boreholes. Lagos is a sedimentary area located within the western Nigeria coastal zone, a zone of coastal creeks and lagoons developed by barrier beaches associated with sand deposition [17]. The subsurface geology reveals two basic lithologies, clay and sand deposits. These deposits may be inter-bedded in places with sandy clay or clayey sand and occasional with vegetable remains and peat. Basically, the geological setting of the study area reveals that it lies solely within the extensive Dahomey basin, the basin extending almost from Accra to Lagos. The coastal belt varies from about 8 km near the republic of Benin border to 24 km towards the eastern end of the Lagos lagoon [18].

Samples preparation

The samples were collected during the dry season when the demand for water is high due to the hot weather. The residents have both hand dug wells and boreholes but patronize commercial water for drinking purposes. The samples were collected and taken to laboratory for procedural analysis. The pH, conductivity and total dissolved solid (TDS) were measured with pH-conductivity-TDS meter (COMBO HI model 98130). Dissolved oxygen (DO) was measured using DO-meter (HACH model). Anions like sulphate (SO4), phosphate (PO4), and nitrates (NO3) were determined using ultraviolet (UV)-Visible Spectrophotometer (Camspec model). Turbid metric method was used for sulphate determination; Vanado-Molybdo-Phosphoric acid method was used for phosphate determination, while salicylate method was used for nitrate determination. The concentration was determined by Mohr's method, while hydrocarbonate was determined by titration against 0.01 M of using mixed indicator (Bromocresol green-Methyl red solution). The heavy metals in the water samples were analyzed using inductively coupled plasma mass spectrometry (ICPMS) in ACME Laboratory, Canada.

Normality tests

Normality tests are conducted to determine if the observed values are drawn from the normal distribution since the sample size is small. The result is presented in Table 6.
Table 6

Normality test of the parameters.

Kolmogorov–Smirnov
Shapiro–Wilk
StatisticDfSig.StatisticDfSig.
pH0.318100.0050.820100.025
DO mg/l0.160100.2000.942100.575
CC mg l0.255100.0650.834100.038
THC mg/l0.348100.0010.759100.005
Salinity mg l0.261100.0510.833100.036
SO4 mg/l0.300100.0110.805100.017
NO3 mg/l0.112100.2000.971100.898
PO4 mg/l0.219100.1920.860100.077
Conduct mS/cm0.279100.0270.851100.059
TDS mg/l0.174100.2000.946100.627
Turbidity (NTU)0.256100.0620.855100.067
Temp (°C)0.300100.0110.893100.182

Df is the degrees of freedom, Sig is the statistical significance measured as p-value.

Normality test of the parameters. Df is the degrees of freedom, Sig is the statistical significance measured as p-value.

Correlation coefficient

Correlation among the parameters is conducted to determine the extent of relationship and these are presented in Table 7, Table 8, Table 9.
Table 7

Correlation matrix (Pearson).

VariablespHDOCCTHCSalinitySO4NO3PO4ConductTDSTurbidTemp
pH1− 0.073− 0.0180.519− 0.0230.4190.1000.3940.8740.7640.3090.372
DO10.038− 0.4220.026− 0.256− 0.489− 0.163− 0.427− 0.319− 0.407− 0.421
CC10.2770.9990.4490.1280.4190.1190.0130.351− 0.325
THC10.2810.8530.7870.6900.7720.5690.6500.074
Salinity10.4510.1340.4220.1210.0140.353− 0.320
SO410.8270.6140.6070.2320.370− 0.181
NO310.4640.3960.1120.428− 0.221
PO410.6740.5710.3920.115
Conduct10.8540.4860.444
TDS10.5190.558
Turbid1− 0.121
Temp1
Table 8

Correlation matrix (Spearman).

VariablespHDOCCTHCSalinitySO4NO3PO4ConductTDSTurbidTemp
pH10.134− 0.0670.445− 0.0560.2380.0000.3600.4270.5730.1870.495
DO10.136− 0.2850.084− 0.062− 0.446− 0.031− 0.495− 0.303− 0.343− 0.563
CC10.2480.9970.1880.0420.2000.2480.0420.274− 0.073
THC10.2800.8060.7450.4180.5640.0790.4210.208
Salinity10.2250.0970.2430.2980.0730.291− 0.040
SO410.8670.5030.442− 0.1640.073− 0.153
NO310.3700.382− 0.1880.189− 0.018
PO410.6970.4790.1160.183
Conduct10.6970.3230.526
TDS10.4760.581
Turbid10.037
Temp1
Table 9

Correlation matrix (Kendall).

VariablespHDOCCTHCSalinitySO4NO3PO4ConductTDSTurbidTemp
pH10.122− 0.0680.296− 0.0460.159− 0.0230.2050.2500.4770.1630.376
DO10.072− 0.2630.048− 0.119− 0.358− 0.024− 0.358− 0.214− 0.244− 0.395
CC10.2000.9890.1560.0670.1560.1560.0220.205− 0.046
THC10.2250.6890.6000.3330.4220.0220.3410.184
Salinity10.1800.0900.1800.1800.0450.230− 0.023
SO410.7330.3780.289− 0.1110.023− 0.092
NO310.2890.289− 0.1110.1140.000
PO410.5560.3330.0680.138
Conduct10.6000.2500.460
TDS10.3860.414
Turbid10.000
Temp1
Correlation matrix (Pearson). Correlation matrix (Spearman). Correlation matrix (Kendall). In order for better understanding of the correlations, the distances between the correlations are computed using the following; The application of the transformations and their percentages using Table 7, Table 8, Table 9 are presented in Table 10.
Table 10

Absolute difference between the correlations coefficients and their percentages.

VariablesD1D2D3%D1%D2%D3
10.2070.1950.01220.719.51.2
20.0490.0500.0014.95.00.1
30.0740.2230.1497.422.314.9
40.0330.0230.0103.32.31.0
50.1810.2600.07918.126.07.9
60.1000.1230.02310.012.32.3
70.0340.1890.1553.418.915.5
80.4470.6240.17744.762.417.7
90.1910.2870.09619.128.79.6
100.1220.1460.02412.214.62.4
110.1230.0040.11912.30.411.9
120.0980.0340.0649.83.46.4
130.1370.1590.02213.715.92.2
140.0580.0220.0365.82.23.6
150.1940.1370.05719.413.75.7
160.0430.1310.0884.313.18.8
170.1320.1390.00713.213.90.7
180.0680.0690.1376.86.913.7
190.0160.1050.0891.610.58.9
200.0640.1630.0996.416.39.9
210.1420.0260.16814.22.616.8
220.0290.0770.0482.97.74.8
230.0020.0100.0080.21.00.8
240.2610.2930.03226.129.33.2
250.0860.0610.0258.66.12.5
260.2190.2630.04421.926.34.4
270.1290.0370.09212.93.79.2
280.0290.0090.0202.90.92.0
290.0770.1460.0697.714.66.9
300.2520.2790.02725.227.92.7
310.0010.0560.0550.15.65.5
320.0470.1640.1174.716.411.7
330.0420.1870.1454.218.714.5
340.2720.3570.08527.235.78.5
350.2080.3500.14220.835.014.2
360.4900.5470.05749.054.75.7
370.2290.3090.08022.930.98.0
380.1340.1100.02413.411.02.4
390.2260.2710.04522.627.14.5
400.0370.0440.0073.74.40.7
410.1790.2420.06317.924.26.3
420.1770.0590.11817.75.911.8
430.0590.0310.0285.93.12.8
440.0620.1230.0616.212.36.1
450.2800.2970.01728.029.71.7
460.0400.0940.1344.09.413.4
470.1110.2360.12511.123.612.5
480.1650.3180.15316.531.815.3
490.3960.3430.05339.634.35.3
500.2970.3470.05029.734.75.0
510.0280.0890.0612.88.96.1
520.0940.1750.0819.417.58.1
530.0140.1070.0931.410.79.3
540.3000.2230.07730.022.37.7
550.2390.3140.07523.931.47.5
560.2030.2210.01820.322.11.8
570.0230.1180.1412.311.814.1
580.0920.2380.1469.223.814.6
590.2760.3240.04827.632.44.8
600.0680.0230.0456.82.34.5
610.1570.2540.09715.725.49.7
620.1630.2360.07316.323.67.3
630.0820.0160.0668.21.66.6
640.0430.1330.0904.313.39.0
650.0230.1440.1672.314.416.7
660.1580.1210.03715.812.13.7

The variables are the correlations between the parameters.

Absolute difference between the correlations coefficients and their percentages. The variables are the correlations between the parameters.

Analysis of variance

The result showed that there are significant differences in the means of the parameters that constitute contamination of the 10 samples collected from the study area. This is presented in Table 11.
Table 11

Analysis of variance (ANOVA) for the samples.

Source of variationD.FS.SM.SF-valueP-value
Sample1110,729,618975,419.978.99464< 0.0000005
Error1081,333,57612,347.92
Total11912,063,194
Analysis of variance (ANOVA) for the samples.
Subject areaEarth and Planetary science
More specific subject areaEnvironmental Science, geochemistry, geostatistics
Type of dataTable and Figure
How data was acquiredpH-conductivity-TDS meter (COMBO HI model 98130), DO-meter (HACH model), ultraviolet (UV)-Visible Spectrophotometer (Camspec model).
Data formatRaw, Analysed
Experimental factorsThe mentioned parameters above, in the abstract section, were analyzed according to the WHO standards for drinking water
Experimental featuresDetermination of physical and chemical parameters that constitute the contaminations of the water near the dumpsites.
Data source locationOke-afa, Oshodi/Isolo area of Lagos State, South-western Nigeria
Data accessibilityAll the data are in this data article.
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