Abstract
Background.
Lead and cadmium are components of paints sold in Nigeria. These heavy metals are associated with adverse neurological, cardiovascular and other human health effects.
Objectives.
This study assesses the levels of lead and cadmium in topsoil of residential areas in Lagos and Ibadan potentially resulting from painting of buildings.
Methods.
Samples were pre-treated prior to metal determination using atomic absorption spectrophotometry. Metal speciation was determined using modified Tessier sequential extraction. Soil characteristics were determined by standard methods. Soil contamination was assessed using contamination factor, geo-accumulation and pollution load indices. The United States Environmental Protection Agency integrated exposure uptake biokinetic (IEUBK) model was used to estimate and predict children's blood lead levels (BLL).
Results.
Lead and cadmium concentrations in residential areas in Lagos and Ibadan ranged from 1.56–419 mg/kg and not detected–2.8 mg/kg, respectively. Metal contamination factor and pollution load index were highest at the Lagos low income settlement. Results of IEUBK modelling showed that the Lagos low income settlement had the highest probability density for children between 1–7 years of age with an estimated BLL of >10 μg/dL. This population made up less than 0.01% of those within this age range.
Conclusions.
Lead and cadmium concentrations in soil around the residential buildings were higher than those in the control sample. Contamination factor and pollution load index showed significant contamination in average and low income settlements. These results suggested that there was accumulation of the metals in the soil, which can persist in the environment. This may pose serious health risks, especially to vulnerable groups such as children.
Keywords: soil, lead, cadmium, contamination, heavy metal, paint
Introduction
Soil contamination may result from the accumulation of heavy metals and metalloids such as lead, cadmium, mercury and nickel, resulting from industrialization, atmospheric deposition, waste disposal, petrochemical spillage, mine tailings, coal combustion residues, gasoline, paints and application of fertilizers and pesticides.1,2 Urban soil contamination by heavy metals is recognized as a form of point source pollution.3 Heavy metals released into the environment by human activities do not undergo microbial or chemical degradation, and thus can persist in soils long after their release.4,5 Elevated concentrations of heavy metals in soil is a possible threat to human health since humans can be exposed through accidental ingestion, direct contact, and inhalation of suspended dust.6
Paint flakes, chips, and dust are potential sources of lead and cadmium contamination in Nigeria.3,7 Paints contain lead and cadmium pigments which enhance durability and colour, respectively. Many countries have banned the use of lead in consumer products such as paints, and global elimination of lead in paints in all countries of the world is expected by the year 2020.8,9 In Nigeria, the agency with the responsibility for product standardization, the Standards Organisation of Nigeria, is working on developing new standards to reduce lead in paints by setting a benchmark of 90 ppm.10
A 2014 study on paints marketed in Nigeria showed that 83% of 59 samples had lead levels which exceeded the 600 ppm level recommended for new paints by the US Consumer Product and Safety Commission, while lead levels in these samples ranged from 22.5 to 74,175 mg/L.11 A recent study also showed that cadmium and lead concentrations in 174 water-based paints collected in Lagos and Ibadan ranged from 98–1946 μg/g and 173–3117 μg/g (dry weight), respectively. All the samples were above the permissible limits of 90 ppm of the US Consumer Product Safety Commission and 100 ppm of the European Union for lead and cadmium, respectively, in paints.12 Despite recent international efforts to reduce lead in paints in all nations by the Global Alliance to Eliminate Lead in Paint, paints containing high levels of lead are still available and sold in Nigeria.11,13 Because of toxicity concerns, cadmium pigments have been replaced by organic pigments such as pyrrole and the arylide family of pigments in many paints and varnishes, although paints containing high levels of cadmium are available in the country.13,14
Abbreviations
- BLL
Blood lead level
- IEUBK
Integrated exposure uptake biokinetic
- CF
Contamination factor
- Igeo
Geo-accumulation index
- HNO3
Nitric acid
- PLI
Pollution load index
The presence of lead in paints and other consumer products in homes is associated with increased children's blood lead levels (BLL) and poisoning risk.15–18 Exposure of children to lead and cadmium in paint chips or dust can result from hand-to-mouth activity or from eating the chips directly.14 Compared with adults, a larger proportion of lead swallowed by children is absorbed in the gastrointestinal tract.15 In some places, BLLs in children are likely to be a consequence of ingesting lead from paints and other consumer products, rather than from automotive exhaust.19,20 Increased BLLs in urban children is most likely to be from contaminated household dust and ensuing hand contamination and mouthing behaviors.21
Elevated BLLs are a significant issue for public health.22 A number of studies have reported BLLs in the population of Nigeria. Elevated BLLs in children 1–6 years old were reported in Kaduna, a medium-sized city in the northern part of Nigeria.20 Mean BLL was found to be 10.6 μg/dL, and 2% of the children had BLLs greater than 30 μg/dL. Studies conducted in three cities in Nigeria with different levels of industrial pollution found the mean BLL in children to be 8.9±4.8 μg/dL, with a median value of 7.8 μg/dL, and a range of 1–52 μg/dL. About 25% of children had a BLL greater than 10 μg/dL, and levels of 48.50 ± 9.08 μg/dL were also reported.23,24
Excessive dietary intake of lead has been linked with cancers of the stomach, small intestine, large intestine, ovary, kidney, lungs, myeloma, lymphomas, and leukemia.25,26 Lead exposure causes health problems, including headache, vomiting, high blood pressure, fertility problems in men, miscarriage in women, developmental delay and damage to the nervous system in children.27,28 Lead is a particularly dangerous metal that has no biological role and negatively affects children in significant ways.29 Both postnatal and prenatal exposure to lead is associated with poor child neurodevelopment. Studies of postnatal exposure show evidence of long-term effects on childhood intelligence quotient, as well as attention and inhibition.30–33 Environmental cadmium exposure is associated with an increased risk of cancer and cardiovascular disease mortality among men, but not among women.30 Chronic exposure to cadmium may increase mortality and shorten life expectancy. This study assesses the levels and forms of lead and cadmium in soils of residential areas in Lagos and Ibadan, mainly contributed by painting the residential buildings. It evaluates soil contamination using the geo-accumulation index, contamination factor, pollution load index and correlation coefficient. Lead exposure levels were evaluated using the United States Environmental Protection Agency's integrated exposure uptake biokinetic (IEUBK) model to predict the risk associated with exposure of children ages 0–7 years.
Methods
Study Area
The study locations included residential areas in Ibadan and Lagos (Figure 1). Selection criteria were the settlement age, economic status, population and level of literacy of the residents. Each city was stratified into five settlements, based anecdotally on the age of the residential areas and income levels of the residents as follows: old high income, new high income, average income, low income and suburban settlements, based on Nigerian town planning standards. High, average and low income settlements were comprised of high, average and low income earners, while residents in the suburban settlement were poor with a low population and high level of illiteracy. The old and new settlements have been in existence for over 35 years and less than 10 years, respectively. Ten streets were purposively selected in each of the high, middle, low income and suburban settlements. In most cases, the residential buildings in the settlements were constructed with bricks made of cement, and remained unplastered in only a few cases.
Figure 1.
Map showing sampling points in Ibadan and Lagos
Soil Sample Collection
Soil samples were purposively collected from three painted buildings randomly selected in each street by scooping topsoil (0–15 cm) into a polythene bag with a plastic hand trowel. Samples were collected from the base of the painted buildings up to 0.5 m away. The sampling points around the selected buildings were 5 m to 8 m away from roads, garages and other sources of lead emission such as automobile emissions and potential petroleum product spills. A Garmin 72 model global positioning system unit was used to measure the coordinates of each sampling point (Figure 1). A total of 100 soil samples were collected around the selected residential buildings in the two cities, while two control samples were collected at the Botanical Garden, University of Ibadan, Ibadan, Nigeria. The samples were air dried at room temperature, crushed in a porcelain mortar and passed through a 2 mm sieve.
Analytical Methods
The sieved and homogenized soil samples were analyzed for pH and electrical conductivity using a Hanna pH meter (H196107) and Hanna EC/TDS meter (H198129), respectively. Organic carbon was determined using the Walkley-Black titration method and soil particle size distribution by the hydrometer method.34,35 Samples for the determination of lead and cadmium were digested using 2 M nitric acid (HNO3) for 2 hours. The digested samples were filtered, diluted with deionized water and analyzed for total lead and cadmium using a Buck Scientific atomic absorption spectrophotometer (Buck Scientific model 210 VGP, USA). Appropriate quality assurance protocols were adopted to ensure reliable and reproducible results. The detection limits of the metals were calculated from the mean of the results of ten blank determinations inclusive of the outliers plus three times the standard deviation.36 A coefficient of variation of 10% duplicate analysis of the sample for lead and cadmium ranged from 0.63–10.9% and 0–14.6%, respectively.
The modified sequential extraction procedure of Tessier et al. was used to fractionate the soil lead and cadmium.37 The fractions include: (1) water soluble fraction: deionized water; (2) exchangeable fraction (readily available): 1.0 M magnesium chloride (MgCl2) at pH 7; (3) bound to carbonate: 1 M sodium acetate (CH3COONa) adjusted to pH 5 with acetic acid; (4) bound to iron-manganese oxides: 0.04 M hydroxylamine hydrochloride in 25% (v/v) acetic acid heated to 96±30° C; (5) bound to organic matter: 0.02 M HNO3 and 30% hydrogen peroxide at pH 2 heated to 85±20° C, then 5 mL of 3.2 M ammonium acetate (20% (v/v)) was added; and (6) residual fraction: 4 M HNO3 heated at 800° C. The supernatants obtained from each extraction step were acidified with 0.5 mL concentrated HNO3 and stored at 40° C until further analysis using atomic absorption spectrophotometry.38 The fractionation of heavy metals is an important aspect of environmental studies to assess the amount of heavy metals that may be soluble, mobile and available to the terrestrial ecosystem, which total metal concentration alone cannot determine.
Mobility factors of the residential soils were calculated according to the expression by Kabala and Singh (Equation 1).39
 |
Where, F1 = water-soluble fraction, F2= exchangeable fraction, F3 = carbonate bound fraction, F4 = iron-manganese oxide bound fraction, F5 = organic matter bound fraction and F6 = residual fraction.
Soil Contamination
To evaluate soil contamination of the study areas, three indices: contamination factor (CF) described by Hakanson, pollution load index (PLI) of Tomlinson et al. and geo-accumulation index (Igeo) introduced by Muller were used to ascertain the extent of lead and cadmium contamination of the topsoil.40–42 CF was calculated using Equation 2.
 |
Where, Cs is the mean concentration of the target element in the samples and CB is the baseline or background value (concentration of each metal in the control sample was used).43
A modified formula of CF was used as there is no established background value of heavy metals for Nigeria. Four categories adopted to describe the extent of contamination are CF <1: very low contamination, CF 1–3: low contamination, CF 3–6: moderate contamination, and CF >6: considerable contamination. Considerable contamination indicates that the metal concentration is 100% greater than that expected in the continental crust. Calculated as the geometric mean of lead and cadmium contamination factors of each sample, PLI is a composite descriptor of the combined lead and cadmium contamination of the residential soils.44 A value of one indicates only baseline levels of pollutants present and values above one indicate progressive contamination of the soil.45 The Igeo was calculated using Equation 3.
 |
where, Cn is the concentration of the element n and Bn is the geochemical background value; Bn is 20 and 0.3 for lead and cadmium, respectively.
The factor 1.5 was incorporated to account for possible variation in the background data due to lithological effects. Igeo values were then categorized as <0: uncontaminated, 0–1: uncontaminated-moderately contaminated, 1.00–1.99: moderately contaminated, 2.00–2.99: more contaminated and 3.00–3.99: highly contaminated.
Statistical Analysis
The data obtained (i.e., soil properties and metal concentrations) were subjected to descriptive statistical analysis. Analysis of variance (ANOVA) was used to determine whether there were significant variations in the concentrations of lead and cadmium in the soils and if the concentrations were significantly higher (p < 0.05) than the background level in order to ascertain the possibility of painting of the residential buildings as a potential source of lead and cadmium contamination. The correlation coefficient was used to determine whether there were significant relationships between lead and cadmium concentrations and soil physicochemical properties. The statistical analysis was performed using Statistical Package for Social Sciences (SPSS) version 16.0.
Risk Assessment
The Windows-based version of the IEUBK model for lead in children (IEUBKwin v1.1 build 11) was used to estimate and predict the risk of lead exposure in children aged 0–7 years using the default value in the model, except for the lead concentrations obtained in this study.46
Results
Table 1 shows the levels of the physicochemical properties, lead and cadmium in soil of the residential areas and control samples. The results of sequential extraction of lead and cadmium in the soil samples collected around the selected buildings in residential settlements in Lagos and Ibadan are illustrated in Figures 2 and 3.
Table 1.
Mean Concentrations and Standard Deviation of Physiochemical Properties and Heavy Metals in Residential Soil of Lagos and Ibadan
Figure 2.
Fractionation of soil lead by settlement type
Figure 3.
Fractionation of soil cadmium by settlement type
Physicochemical Properties and Heavy Metals in Soil of the Residential Settlements in Lagos and Ibadan, Nigeria
The soil of the residential areas in Ibadan and Lagos were dominated by coarse particles of sand, with mean particle size distribution varying from 4.20 ± 0.6 to 7.00 ± 0.5% silt; 3.40 ± 0.3 to 4.60 ± 0.4% clay; and 88.4 ± 0.6 to 92.2 ± 0.8% sand. The dominance of coarse particles of sand indicates the potential leaching of the pollutants deposited on the topsoil, but the silt and clay contents of the soil support retention of the leached pollutants. The soil samples were slightly alkaline with pH ranging from 6.40–8.70. The Lagos suburban settlement had the highest average pH of 8.14±0.1, while the lowest, 7.71±0.4, was obtained in the old high income settlement in Lagos (Table 1). The average pH of the control samples was 6.60, which was lower than the average pH of the soil collected in all the settlements in both cities. The mean electrical conductivity values ranged from 59 ± 3.9 to 215 ± 19 μS/cm and the mean soil organic matter ranged from 1.01 ± 0.2 to 2.87± 0.6%. The electrical conductivity value did not exceed the critical value of 4000 μS/cm for identifying the soil as saline.47 The concentrations of lead and cadmium ranged from 1.56–419 mg/kg and not detected–2.80 mg/kg, respectively, in all the residential settlements. Mean lead and cadmium concentrations in all the settlements ranged from 5.94±5.4–90.5±118 mg/kg in the new high income and low income settlements in Lagos; and 0.10±0.2–0.95±1.0 mg/kg in Ibadan suburban and middle and low income settlements in Lagos. The mean lead and cadmium concentrations in the control samples were 2.34±1.1 mg/kg and 0.46±0.7 mg/kg, respectively. When compared with the control samples, there was evidence of lead contamination in all of the settlements in both cities as the concentrations were above the level in the control sample, while cadmium contamination was evident in all the settlements in Lagos, except the Lagos suburban settlement. There was little or no cadmium contamination in any of the settlements in Ibadan as the concentrations were below the level found in the control sample (Table 1).
Total Lead and Cadmium Concentrations in Soil
The concentrations of lead and cadmium obtained in the residential settlements indicated possible contamination. Mean lead concentrations in the Lagos average income settlement (66.3 mg/kg), Lagos low income settlement (90.5 mg/kg), Ibadan average income settlement (77.7 mg/kg) and Ibadan low income settlement (63.1 mg/kg) had values which exceeded the Dutch limits of 50 mg/kg in residential soil (Table 1).48 The calculated Igeo values of the soil samples, which indicated the degree of anthropogenic pollution, revealed that average and low income settlements in Lagos and Ibadan had low levels of contamination with lead, while average and low income settlements in Lagos also had low levels of contamination with cadmium (Table 2). Lead showed a high CF value in the Lagos low income settlements (38.7), followed by the Ibadan average income settlements (33.2), while cadmium showed a high value in the Lagos average income and low income (2.07) settlements. Ibadan suburban settlements had the lowest CF value (0.22). The calculated CF values showed very high contamination of lead in the new high income, average and low income settlements of Lagos, and old and new high income, average income and low income settlements in Ibadan, while there was moderate cadmium contamination in all the settlements in Lagos, except for the suburban settlements (Table 2).
Table 2.
Geo-accumulation Index (Igeo), Contamination Factor (CF) and Pollution Load Index (PLI) of Residential Settlements in Lagos and Ibadan, Nigeria
| Settlement type | Igeo | CF | Total | PLI | ||
|---|---|---|---|---|---|---|
| Lead | Cadmium | Lead | Cadmium | |||
| Lagos | ||||||
| Lagos old high income | −2.34 | 0.66 | 2.54 | 1.80 | 4.34 | 1.54 |
| Lagos new high income | −0.8 | 0.88 | 7.35 | 1.53 | 8.88 | 1.26 |
| Lagos average income | 1.41 | 1.08 | 28.3 | 2.07 | 30.4 | 1.97 |
| Lagos low income | 1.59 | 1.08 | 38.7 | 2.07 | 40.8 | 2.08 |
| Lagos suburban | −1.21 | −0.79 | 5.56 | 0.57 | 6.13 | 1.21 |
| Ibadan | ||||||
| Ibadan old high income | 0.59 | −0.73 | 19.3 | 0.74 | 20.0 | 1.52 |
| Ibadan new high income | 0.35 | −0.4 | 16.4 | 0.58 | 17.0 | 1.50 |
| Ibadan average income | 1.37 | −0.09 | 33.2 | 0.91 | 34.1 | 1.77 |
| Ibadan low income | 1.07 | −0.21 | 27.0 | 0.85 | 27.9 | 1.68 |
| Ibadan suburban | −0.36 | −2.17 | 10 | 0.22 | 10.2 | 1.14 |
Note: Four categories adapted to describe the extent of contamination are CF <1: very low contamination, CF 1–3: low contamination, CF 3–6: moderate contamination and CF > 6: considerable contamination; Igeo values are categorized as <0: uncontaminated, 0–1: uncontaminated-moderately contaminated, 1.00–1.99: moderately contaminated, 2.00–2.99: more contaminated and 3.00–3.99: highly contaminated; a PLI value of one indicates only baseline levels of pollutants present and values above one indicate progressive contamination of the soil.
The pollution load index was used to assess the metal accumulation and multi-element contamination resulting in increased overall metal toxicity.49 The results of the pollution load index (Table 2) showed that there was accumulation of the metals in all the settlements in Lagos and Ibadan, while the Lagos low income settlement had the highest PLI (2.08). This indicates the potential accumulation of metals in the soils of all the residential settlements in both cities.
Fractionation of Heavy Metals in the Soil Sample
Water soluble fraction (F1) represents those metals which are water soluble. Across the different settlements, the mean fractional content of lead was 0.80–8.30% in Lagos and 6.80–17.9% in Ibadan, while cadmium was 0% in all settlements. Metals in this fraction are assumed to be available for plant uptake.50 Absence of cadmium in this fraction suggests no current risk of cadmium contamination, but accumulation over time might result in possible health risks. Exchangeable fraction (F2) metals have high mobility and are readily available to plants and organisms. The mean fractional content of lead was 0.2–2.1% in Lagos and 2.6–4.9% in Ibadan, while that of cadmium was 0 – 10.3% in Lagos and 0.5–15.3% in Ibadan. Carbonate-bound fraction (F3) metals have medium mobility and are not readily available to plants. The mean fractional content of lead was 1.90–21.6% in Lagos and 15.4–27% in Ibadan, and the mean fractional content of cadmium was 3.40 - 44.6% in Lagos and 1.20–17.1% in Ibadan. Iron-manganese oxides-bound fraction (F4) metals under an extremely reducible condition can get into the environment from a contaminated site.51 The mean fractional content of lead was 10.4–93% in Lagos and 2.60–29.1% in Ibadan, while that of cadmium was 6.9 – 75.4% in Lagos and 36.7 – 59.3% in Ibadan. Organic-bound fraction (F5) metals have medium mobility and decomposition of the organic fraction occurs with time. The mean fractional content of lead was 0.5–22.9% in Lagos and 20.3–26.5% in Ibadan, while the mean fractional content of cadmium was 0–5.7% in Lagos and 0–12.5% in Ibadan. Residual fraction (F6) metals are crystal lattice fixed, mobilize slowly and decomposition of crystal can make them available.52 The mean fractional content of lead was 2.9–27% in Lagos and 17.1–28.3% in Ibadan and the fractional content of cadmium was 5.3–79.3% in Lagos and 18.6–42.8% in Ibadan (Figure 2, Figure 3).
Metal Mobility Factors
The lead mobility factors were moderately high in the Lagos suburban settlement (44.3%) and low in the new high income (3.4%), old high income (5.3%), average income (10.6%) and low income (25.3%) settlements in Lagos. The mobility factors were low in the new high income (25.7%) and averagely high in the old high income (37%), suburban (33.8%), average income (45%) and low income (47%) settlements in Ibadan. The cadmium mobility factors were low in the old high income (7.6%), average income (16.1%), low income (19.3%) and suburban (13.7%) settlements; and moderately high in the new high income settlement (44.6%) in Lagos. All the settlements in Ibadan had low cadmium mobility factors in the new high income (2.4%), old high income (22%), and average income (17%) settlements, while the low income and suburban settlements had a mobility factor of 11.8% (Table 3). High values of mobility factors of heavy metals are evidence of relatively high bioavailability.39
Table 3.
Mobility Factors of Lead and Cadmium in Residential Settlements in Lagos and Ibadan, Nigeria
| Settlement type | Lead (%) | Cadmium (%) |
|---|---|---|
| Lagos | ||
| Lagos new high income | 3.40 | 44.6 |
| Lagos old high income | 5.30 | 7.60 |
| Lagos average income | 10.6 | 16.1 |
| Lagos low income | 25.3 | 19.3 |
| Lagos suburban | 44.3 | 13.8 |
| Ibadan | ||
| Ibadan new high income | 25.7 | 2.40 |
| Ibadan old high income | 37.0 | 22.0 |
| Ibadan average income | 45.0 | 17.0 |
| Ibadan low income | 47.0 | 11.8 |
| Ibadan suburban | 33.8 | 11.8 |
Statistical Analysis Results
Statistical analyses of the results obtained in the residential settlements in Lagos and Ibadan using analysis of variance (ANOVA) showed significant differences (p<0.05) by settlement type (Table 4, Table 5). In the Lagos settlements, there was a significant negative correlation between sand and silt, and sand and clay at p < 0.01, as well as a positive correlation at p < 0.05 between % soil organic matter and lead with r values of −0.895, −0.663 and 0.353, respectively (Table 4). In Ibadan, at p < 0.01, there was a significant positive correlation between % soil organic matter and cadmium (r = 0.506) and a negative correlation with pH (r = −0.410). In addition, pH showed a negative correlation with electrical conductivity (r = −0.296, p < 0.05). There was a strong negative correlation between sand and silt (r = −0.819, p < 0.01), sand and clay (r = −0.538, p < 0.01) and a positive correlation with electrical conductivity (r = 0.286, p < 0.05). There was a significant positive correlation between lead and cadmium (r = 0.299, p < 0.05) in Ibadan and Lagos (r = 0.230) (Table 6, Table 7).
Table 4.
Analysis of Variance (ANOVA) Test of Difference in Mean
Physiochemical Properties and Lead and Cadmium Concentrations in Lagos Residential Settlements (n=50)
| ANOVA | ||||||
|---|---|---|---|---|---|---|
| Sum of Squares | df | Mean Square | F | Significance | ||
| pH | Between sites | 1.576 | 4 | .394 | 6.369 | .000 |
| Within sites | 2.784 | 45 | .062 | |||
| Total | 4.360 | 49 | ||||
| Soil organic matter | Between sites | 2.989 | 4 | .747 | 1.502 | .218 |
| Within sites | 22.385 | 45 | .497 | |||
| Total | 25.373 | 49 | ||||
| Electrical conductivity | Between sites | 20034.417 | 4 | 5008.604 | 5.259 | .001 |
| Within sites | 42858.667 | 45 | 952.415 | |||
| Total | 62893.085 | 49 | ||||
| Percentage sand | Between sites | 103.520 | 4 | 25.880 | 4.742 | .003 |
| Within sites | 245.600 | 45 | 5.458 | |||
| Total | 349.120 | 49 | ||||
| Percentage silt | Between sites | 52.000 | 4 | 13.000 | 3.703 | .011 |
| Within sites | 158.000 | 45 | 3.511 | |||
| Total | 210.000 | 49 | ||||
| Percentage clay | Between sites | 9.120 | 4 | 2.280 | 1.574 | .198 |
| Within sites | 65.200 | 45 | 1.449 | |||
| Total | 74.320 | 49 | ||||
| Lead | Between sites | 56371.768 | 4 | 14092.942 | 4.260 | .005 |
| Within sites | 148879.314 | 45 | 3308.429 | |||
| Total | 205251.082 | 49 | ||||
Table 5.
Analysis of Variance ANOVA Test of Differences in Mean Physiochemical Properties and Lead and Cadmium Concentrations in Ibadan Residential Settlements (n=50)
| ANOVA | ||||||
|---|---|---|---|---|---|---|
| Sum of Squares | df | Mean Square | F Significance | |||
| pH | Between sites | .839 | 4 | .210 | 1.620 | .186 |
| Within sites | 5.828 | 45 | .130 | |||
| Total | 6.667 | 49 | ||||
| Soil organic matter | Between sites | 13.955 | 4 | 3.489 | 2.709 | .042 |
| Within sites | 57.944 | 45 | 1.288 | |||
| Total | 71.899 | 49 | ||||
| Electrical conductivity | Between sites | 43911.798 | 4 | 10977.949 | 2.717 | .041 |
| Within sites | 181799.958 | 45 | 4039.999 | |||
| Total | 225711.756 | 49 | ||||
| Percentage sand | Between sites | 23.597 | 4 | 5.899 | 1.711 | .164 |
| Within sites | 155.184 | 45 | 3.449 | |||
| Total | 178.781 | 49 | ||||
| Percentage silt | Between sites | 13.280 | 4 | 3.320 | 1.339 | .270 |
| Within sites | 111.600 | 45 | 2.480 | |||
| Total | 124.880 | 49 | ||||
| Percentage clay | Between sites | 3.200 | 4 | .800 | .657 | .625 |
| Within sites | 54.800 | 45 | 1.218 | |||
| Total | 58.000 | 49 | ||||
| Lead | Between sites | 18016.843 | 4 | 4504.211 | 1.802 | .145 |
| Within sites | 112477.675 | 45 | 2499.504 | |||
| Total | 130494.518 | 49 | ||||
| Cadmium | Between sites | .652 | 4 | .163 | 1.716 | .163 |
| Within sites | 4.277 | 45 | .095 | |||
| Total | 4.929 | 49 | ||||
Table 6.
Correlation Coefficients of Soil Physiochemical Properties, Lead and Cadmium in Lagos Residential Settlements
| Correlations | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| pH | Soil organic matter | Electrical conductivity | Percentage sand | Percentage silt | Percentage clay | Lead | Cadmium | ||
| pH | Pearson correlation | 1 | |||||||
| Significance (2-tailed) | |||||||||
| Soil organic matter | Pearson correlation | −.056 | 1 | ||||||
| Significance (2-tailed) | .700 | ||||||||
| Electrical conductivity | Pearson correlation | −.226 | −.050 | 1 | |||||
| Significance (2-tailed) | .114 | .730 | |||||||
| Percentage sand | Pearson correlation | .195 | .168 | .202 | 1 | ||||
| Significance (2-tailed) | .175 | .243 | .159 | ||||||
| Percentage silt | Pearson correlation | −.238 | −.084 | −.193 | −.895** | 1 | |||
| Significance (2-tailed) | .096 | .562 | .180 | .000 | |||||
| Percentage clay | Pearson correlation | −.022 | −.224 | −.114 | −.663** | .259 | 1 | ||
| Significance (2-tailed) | .878 | .118 | .431 | .000 | .069 | ||||
| Lead | Pearson correlation | .020 | .353* | .004 | .047 | −.025 | −.060 | 1 | |
| Significance (2-tailed) | .893 | .012 | .976 | .745 | .862 | .679 | |||
| Cadmium | Pearson correlation | −.027 | .186 | −.135 | −.102 | .147 | −.027 | .230 | 1 |
| Significance (2-tailed) | .852 | .197 | .352 | .481 | .307 | .853 | .109 | ||
*. Correlation is significant at the 0.05 level (2-tailed).
**. Correlation is significant at the 0.01 level (2-tailed).
Table 7.
Correlation Coefficients of Soil Physicochemical Properties, Lead and Cadmium in Ibadan Residential Settlements
Risk Assessment
The estimated BLLs of children between ages 0–7 years in the residential areas in Lagos and Ibadan using the US IEUBK model are presented in Table 8. The results showed that estimated BLL of children 0–7 years of age in all the residential settlements were lower than the BLL of concern (10 μg/dL) and reference level (5 μg/dL). The Lagos low income settlement had the highest probability density for children between 1–7 years of age with an estimated BLL of >10 μg/dL. This population made up less than 0.01% of those within this age range.
Table 8.
Mean Estimated Blood Lead Levels (μg/dL) of Children in Residential Settlements in Lagos, Ibadan and the Control Soil Sample
| Age of Children (years) | Settlements | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Aa | Ab | Ac | Ad | Ae | Ba | Bb | Bc | Bd | Be | Ctr | |
| 0.5–1 |
1.0 | 1.1 | 1.6 | 1.9 | 1.1 | 1.4 | 1.3 | 1.8 | 1.6 | 1.2 | 0.9 |
| 1–2 | 1.0 | 1.2 | 1.8 | 2.1 | 1.1 | 1.5 | 1.4 | 2.0 | 1.8 | 1.2 | 1.0 |
| 2–3 | 0.9 | 1.1 | 1.7 | 2.0 | 1.0 | 1.4 | 1.3 | 1.8 | 1.6 | 1.2 | 0.9 |
| 3–4 | 0.9 | 1.0 | 1.6 | 1.9 | 1.0 | 1.3 | 1.3 | 1.7 | 1.5 | 1.1 | 0.9 |
| 4–5 | 0.8 | 0.9 | 1.4 | 1.6 | 0.9 | 1.2 | 1.1 | 1.5 | 1.3 | 1.0 | 0.8 |
| 5–6 | 0.8 | 0.9 | 1.2 | 1.4 | 0.8 | 1.1 | 1.0 | 1.3 | 1.2 | 0.9 | 0.8 |
| 6–7 | 0.7 | 0.8 | 1.1 | 1.3 | 0.8 | 1.0 | 0.9 | 1.2 | 1.1 | 0.8 | 0.7 |
Abbreviations: Aa, Lagos new high income settlement; Ab, Lagos old high income settlement; Ac, Lagos average income settlement; Ad, Lagos low income; Ae, Lagos suburban; Ba, Ibadan new high income settlement; Bb, Ibadan old high income settlement; Bc, Ibadan average income settlement; Bd, Ibadan low income settlement; Be, Ibadan suburban settlement; Ctr, Control settlement.
Discussion
Soil contamination with heavy metals has severely increased globally due to human activities. Soil pollution and contamination with heavy metals can pose danger to human health. Soil contamination with heavy metals such as lead and cadmium has been recognized as a serious environmental and human health concern because they are non-biodegradable, have the tendency to accumulate in plants and animal tissues, including humans, and have been linked to chronic human diseases and death. Availability of heavy metals in soil is pH dependent.53,54 Most of the soil in the study areas had a pH between 6.0–9.0, where most metals do not usually occur in their free form, hence are not likely to be available for uptake by plants and microorganisms.55 The concentration of lead was greater than cadmium in all the residential topsoil samples. The order of lead and cadmium concentrations in the residential settlements was:
Lead:
Lagos: Low income > average income > old high income > suburban > new high income
Ibadan: Average income > low income > new high income >old high income > suburban
Cadmium:
Lagos: Low income = average income > old high income > new high income > suburban
Ibadan: Average income > low income > old high income > new high income > suburban
This trend could be attributed to the fact that the low income settlement was comprised of low earners with a relatively high population. The residents might not have the financial capability to paint their buildings regularly and some did not paint at all. The buildings might have been painted with paints which contained very high levels of lead and cadmium. Thus, in Lagos and Ibadan, low income and average income settlements had the highest concentrations of lead and cadmium, respectively. New high income settlements in Lagos had the lowest concentration of lead. All of the buildings in these areas were newly painted, and hence, had the lowest mean concentrations of lead in the topsoil. The suburban settlement had the lowest concentration of cadmium in both cities and lead in Ibadan. The suburban settlement was the poorest settlement and had a low population and a high level of illiteracy. Most of the residential buildings in this area were not painted, and thus had little lead and cadmium contamination of the topsoil. Heavy metal contamination is associated with a mixture of contaminants rather than just one metal contaminant.54 The higher the PLI, the more serious the heavy metal accumulation in the soil.47 All the residential settlements in Ibadan had a cadmium CF of less than 1 with low contamination of the topsoil, while with respect to lead, they had a very high contamination level, with a CF greater than 6. In most cases, the residential settlements in Lagos had a cadmium CF of 1–3, and thus were moderately contaminated with cadmium, except for the suburban settlement with a CF of 0.5, while the lead contamination factor in the settlements was greater than 6. Hence, progressive contamination of the topsoil of the residential settlements in both cities was evident based on the PLI.
The significant positive correlation between lead and cadmium in the residential soils indicates that they might have originated from a similar anthropogenic source.43 The estimated BLLs of children between ages 0–7 years in the residential areas in Lagos and Ibadan using the US IEUBK model might be attributed to residential building paints as the main source of lead exposure. Although there are multiple sources of lead exposure in homes, this study considered soil around the residential buildings and these results were used for the estimation. The results obtained suggested a low risk of elevated BLL in children between these ages in the study areas. Accumulation of lead over time might increase the exposed population and the level of exposure, which might pose a health concern. The fact that the BLLs in the study areas do not pose a high risk to children in these areas does not mean that the sale of paints with high levels of these toxic and hazardous metals should be encouraged and continued. However, it suggests that there was little or no risk of exposure to children in the areas from this potential source i.e., painting of the residential buildings, as shown by the results obtained from the US IEUBK model. In addition, children in these settlements and most parts of Nigeria are not routinely tested except in the northern part of the country, where lead poisoning has been reported.33 The Washington State Department of Health Expert Panel has identified a BLL between 5 and 9 μg/dL to be detrimental to children and follow up steps have been recommended at this level.53
Conclusions
This study assessed the physicochemical parameters and levels of lead and cadmium and their forms in the soil of residential settlements in Lagos and Ibadan, Nigeria. Soil contamination was evaluated using the geo-accumulation index, contamination factor and pollution load index. The risk of exposure to children between 0–7 years of age were also estimated using the US IEUBK model for lead in blood. The results obtained showed that there were varying concentrations of lead and cadmium in all of the sampled residential settlements in Lagos and Ibadan. Average and low income settlements in both cities had mean lead concentrations above the Dutch permissible limits in residential soil. In addition, the mean concentrations of the metals were above the mean concentrations found in the control sample, which suggested contamination of the soil.48 Very high contamination of the soil was observed as shown by the contamination factor and pollution load index, which might be attributed to painting of the residential buildings in the study areas. Painting of buildings may be one of the potential sources of heavy metal loading of the environment. Therefore, the production, sales and use of paints with high levels of heavy metals such as lead and cadmium should be discouraged and discontinued. There is an urgent need for regulations of heavy metals in consumer products such as paints in Nigeria to prevent the human health risks associated with exposure of vulnerable groups such as children to metals in these products and soil through ingestion, dust inhalation and dermal contact. Multiple sources of lead in homes should be identified and assessed to determine the level of exposure of vulnerable groups, especially children, and routine monitoring of children's BLLs is highly recommended in Nigeria.
References
- 1. Khan S, Cao Q, Zheng YM, Huang YZ, Zhu YG.. Health risks of heavy metals in contaminated soils and food crops irrigated with wastewater in Beijing, China. Environ Pollut [Internet]. 2008. April [cited 2017 Feb 24]; 152 3: 686– 92. Available from: http://www.sciencedirect.com/science/article/pii/S0269749107003351 Subscription required to view. [DOI] [PubMed] [Google Scholar]
- 2. Adeyi AA, Omidiran OM, Osibanjo O.. Assessment of soil contamination of a cattle market around River Ogun Basin, Isheri, Nigeria. : Hernandez-Soriano MC, . editor Environmental risk assessment of soil contamination [Internet]. Rijeka, Croatia: InTech; 2014. March 26 [cited 2017 Feb 24]. p 225– 55. Available from: http://www.intechopen.com/books/environmental-risk-assessment-of-soil-contamination/assessment-of-soil-contamination-of-a-cattle-market-around-river-ogun-basin-isheri-nigeria [Google Scholar]
- 3. Hursthouse AS, Tognarelli D, Tucker P, Marsan FA, Martini C, Madrid L, Madrid F, Diaz-Barrientos E.. Metal content of surface soils in parks and allotments from three European cities: initial pilot study results. Land Contam Reclam [Internet]. 2004. [cited 2017 Feb 24]; 12 3: 189– 96. Available from: http://digital.csic.es/handle/10261/64705 [Google Scholar]
- 4. Kirpichtchikova TA, Manceau A, Spadini L, Panfili F, Marcus MA, Jacquet T.. Speciation and solubility of heavy metals in contaminated soil using X-ray microfluorescence, EXAFS spectroscopy, chemical extraction, and thermodynamic modeling. Geochimica et Cosmochimica Acta [Internet]. 2006. May 1 [cited 2017 Feb 24]; 70 9: 2163– 90. Available from: http://www.sciencedirect.com/science/article/pii/S0016703706000767 Subscription required to view. [Google Scholar]
- 5. Adriano DC. Trace elements in terrestrial environments: biogeochemistry, bioavailability and risks of metals. 2nd ed New York: Springer; 2001. 866 p [Google Scholar]
- 6. Aucejo A, Ferrer J, Gabaldon C, Marza P, Seco A.. Diagnosis of boron, fluorine, lead, nickel and zinc toxicity in citrus plantations in Villarreal, Spain. Water Air Soil Pollut [Internet]. 1997. March [cited 2017 Feb 24]; 94 3: 349– 60. Available from: https://link.springer.com/article/10.1007/BF02406067 Subscription required to view. [Google Scholar]
- 7. Clark HF, Hausladen DM, Brabander DJ.. Urban gardens: lead exposure, recontamination mechanisms, and implications for remediation design. Environ Res [Internet]. 2008. July [cited 2017 Feb 24]; 107 3: 312– 9. Available from: http://www.sciencedirect.com/science/article/pii/S0013935108000728 Subscription required to view. [DOI] [PubMed] [Google Scholar]
- 8. Eliminate lead paint: protect children's health [Internet]. Göteborg, Sweden: IPEN; 2015. [cited 2015 Oct 19] 24 p. Available from http://ipen.org/sites/default/files/documents/Eliminate_Lead_Paint_Protect-Childrens_Health_Africa_Feb_2015.pdf [Google Scholar]
- 9. Weinberg J, Clark S. Global lead paint elimination by 2020: a test of the effectiveness of the strategic approach to international chemicals management [Internet]. Göteborg, Sweden: IPEN; 2012. [cited 2015 Oct 19] 32 p. Available from http://ipen.org/pdfs/ipen_global_lead_paint_elimination_report_2012.pdf [Google Scholar]
- 10. Standard organization of Nigeria to curb high lead content in paints. The Premium Times [Internet]. 2015. August 7 [cited 2015 Oct 19]; Business: [about 2 screens]. Available from http://www.premiumtimesng.com/business/manufacturing/188011-standard-organisation-of-nigeria-to-curb-high-lead-content-in-paints.html
- 11. Ahamefun NC, Osibanjo O, Sunday AA, Ogoko EC.. Current levels of lead in paint sold in Nigeria. South Am J Public Health [Internet]. 2014. June [cited 2017 Feb 14]; 2 2 Available from: http://www.texilajournal.com/public-health/article/223-current-levels-of Subscription required to view. [Google Scholar]
- 12. Apanpa-Qasim AF, Adeyi AA, Mudliar SN, Raghunathan K, Thawale P.. Examination of lead and cadmium in water-based paints marketed in Nigeria. J Health Pollut [Internet]. 2016. December [cited 2017 Feb 24]; 6 12: 43– 9. Available from: http://www.journalhealthpollution.org/doi/pdf/10.5696/2156-9614-6.12.43?code=bsie-site [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Adebamowo EO, Clark CS, Roda S, Agbede OA, Sridhar MK, Adebamowo CA.. Lead content of dried films of domestic paints currently sold in Nigeria. Sci Total Environ [Internet]. 2007. December 15 [cited 2017 Feb 26]; 388 1–3: 116– 20. Available from: http://www.sciencedirect.com/science/article/pii/S0048969707007814 Subscription required to view. [DOI] [PubMed] [Google Scholar]
- 14. Nduka JK, Orisakwe OE, Maduawguna CA.. Heavy metals other than lead in flaked paints from buildings in Eastern Nigeria. Toxicol Ind Health [Internet]. 2007. October [cited 2017 Feb 24]; 23 9: 525– 8. Available from: http://journals.sagepub.com/doi/pdf/10.1177/0748233708089038 Subscription required to view. [DOI] [PubMed] [Google Scholar]
- 15. Measuring lead exposure in infants, children, and other sensitive populations [Internet]. Washington, D.C.: National Academy Press; 1993. [cited 2017 Feb 24] 356 p. Available from: https://www.nap.edu/catalog/2232/measuring-lead-exposure-in-infants-children-and-other-sensitive-populations [PubMed] [Google Scholar]
- 16. Mielke HW. Lead in residential soils: background and preliminary results of New Orleans. Water Air Soil Pollut [Internet]. 1991. August [cited 2017 Feb 24]; 57–58 1: 111– 9. Available from: https://link.springer.com/article/10.1007/BF00282874 Subscription required to view. [Google Scholar]
- 17. Mielke HW, Reagan PL. Soil is an important pathway of human lead exposure. Environ Health Perspect [Internet]. 1998. February [cited 2017 Feb 24]; 106 Suppl 1: 217– 29. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1533263/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Mielke HW. Lead dust contaminated U.S.A. communities: comparison of Louisiana and Minnesota. Appl Geochem [Internet]. 1993. January [cited 2017 Feb 24]; 8 Suppl 2: 257– 61. Available from: http://www.sciencedirect.com/science/article/pii/S0883292709800462 Subscription required to view. [Google Scholar]
- 19. Haar GT, Aronow R. New information on lead in dirt and dust as related to the childhood lead problem. Environ Health Perspect [Internet]. 1974. May [cited 2017 Feb 24]; 7: 83– 9. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1475137/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Nriagu J, Oleru NT, Cudjoe C, Chine A.. Lead poisoning of children in Africa, III. Kaduna, Nigeria. Sci Total Environ [Internet]. 1997. April 30 [cited 2017 Feb 24]; 197 1–3: 13– 9. Available from: http://www.sciencedirect.com/science/article/pii/S0048969796054083 Subscription required to view. [DOI] [PubMed] [Google Scholar]
- 21. Charney E, Sayre J, Coulter M.. Increased lead absorption in inner city children: where does the lead come from? Pediatrics [Internet]. 1980. February [cited 2017 Feb 24]; 65 2: 226– 31. Available from: http://pediatrics.aappublications.org/content/65/2/226 Subscription required to view. [PubMed] [Google Scholar]
- 22. Fergusson JE. The heavy elements: chemistry, environmental impact, and health effects. Oxford, UK: Pergamon Press; 1990. 614 p. [Google Scholar]
- 23. Nriagu J, Afeiche M, Linder A, Arowolo T, Ana G, Sridhar MK, Oloruntoba EO, Obi E, Ebenebe JC, Orisakwe OE, Adesina A.. Lead poisoning associated with malaria in children of urban areas of Nigeria. Int J Hyg Environ Health [Internet]. 2008. October [cited 2017 Feb 24]; 211 5–6: 591– 605. Available from: http://www.sciencedirect.com/science/article/pii/S1438463908000321 Subscription required to view. [DOI] [PubMed] [Google Scholar]
- 24. Babalola OO, Ojo LO, Aderemi MO.. Lead levels in some biological samples of auto-mechanics in Abeokuta, Nigeria. Indian J Biochem Biophys [Internet]. 2005. December [cited 2017 Feb 24]; 42 6: 401– 3. Available from: https://www.researchgate.net/publication/6834074_Lead_level_in_some_biological_samples_of_automechanics_in_Abeokuta_Nigeria [PubMed] [Google Scholar]
- 25. Reddy SB, Charles MJ, Raju GJ, Reddy BS, Reddy TS, Lakshmi PV, Vijayan V.. Trace elemental analysis of cancer-afflicted intestine by PIXE technique. Biol Trace Elem Res [Internet]. 2004. December [cited 2017 Feb 24]; 102 1–3: 265– 82. Available from: https://link.springer.com/article/10.1385/BTER:102:1-3:265 Subscription required to view. [DOI] [PubMed] [Google Scholar]
- 26. Bodeau-Livinec F, Glorennec P, Cot M, Dumas P, Durand S, Massougbodji A, Ayotte P, Le Bot B.. Elevated blood lead levels in infants and mothers in Benin and potential sources of exposure. Int J Environ Res Public Health [Internet]. 2016. March 11 [cited 2017 Feb 24]; 13 3: 316 Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4808979/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Oyeleke PO, Abiodun OA, Salako RA, Odeyemi OE, Abejide TB.. Assessment of some heavy metals in the surrounding soils of an automobile battery factory in Ibadan, Nigeria. Afr J Environ Sci Technol [Internet]. 2016. January [cited 2017 Feb 24]; 10 1: 1– 8. Available from: http://www.academicjournals.org/journal/AJEST/article-full-text-pdf/B8F1B3056450 [Google Scholar]
- 28. Agusa T, Kunito T, Ramu K, Chamnan C, Trang PT, Minh TB, Subramanian A, Iwata H, Viet PP, Tana TS, Tanabe S.. Lead contamination and its human health effects in India, Vietnam and Cambodia. Biomed Res Trace Elem [Internet]. 2006. [cited 2017 Feb 24]; 17 4: 413– 16. Available from: https://www.jstage.jst.go.jp/article/brte/17/4/17_4_413/_pdf [Google Scholar]
- 29. Yilmaz AB. Comparison of heavy metal levels of grey mullet (Mugil cephalus L.) and sea bream (Sparus aurata L.) caught in Iskenderun Bay (Turkey). Turk J Vet Anim Sci [Internet]. 2005. [cited 2017 Feb 24]; 29 2: 257– 62. Available from: http://journals.tubitak.gov.tr/veterinary/issues/vet-05-29-2/vet-29-2-10-0301-1.pdf [Google Scholar]
- 30. Lanphear BP, Hornung R, Khoury J, Yolton K, Baghurst P, Bellinger DC, Canfield RL, Dietrich KN, Bornschein R, Greene T, Rothenberg SJ, Needleman HL, Schnaas L, Wasserman G, Graziano J, Roberts R.. Low-level environmental lead exposure and children's intellectual function: an international pooled analysis. Environ. Health Perspect [Internet]. 2005. [cited 2017 Feb 24]; 113 7: 894– 9. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1257652/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Ngueta G, Ndjaboue R. Blood lead concentrations in sub-Saharan African children below 6 years: systematic review. Trop Med Int Health [Internet]. 2013. October [cited 2017 Feb 14]; 18 10: 1283– 91. Available from: http://onlinelibrary.wiley.com/doi/10.1111/tmi.12179/full [DOI] [PubMed] [Google Scholar]
- 32. Plusquellec P, Muckle G, Dewailly E, Ayotte P, Begin G, Desrosiers C, Despres C, Saint-Amour D, Poitras K.. The relation of environmental contaminants exposure to behavioral indicators in Inuit preschoolers in Arctic Quebec. Neurotoxicology [Internet]. 2010. January [cited 2017 Feb 25]; 31 1: 17– 25. Available from: http://www.sciencedirect.com/science/article/pii/S0161813X09002319 Subscription required to view. [DOI] [PubMed] [Google Scholar]
- 33. Getso KI, Hadejia IS, Sabitu K, Nguku PM, Poggensee G, Aliyu HM, Yalwa H, Sani-Gwarzo N, Oyemakinde A.. Prevalence and determinants of childhood lead poisoning in Zamfara State, Nigeria. J Health Pollut [Internet]. 2014. March [cited 2017 Feb 25]; 4 6: 1– 9. Available from: http://www.journalhealthpollution.org/doi/full/10.5696/2156-9614-4-6.1?code=bsie-site [Google Scholar]
- 34. Walkey A. An examination of methods for determining organic carbon and nitrogen in soils. J Agric Sci [Internet]. 1935. October [cited 2017 Feb 25]; 25 4: 598– 609. Available from: 10.1017/S0021859600019687 Subscription required to view. [DOI] [Google Scholar]
- 35. Gee GW, Or D. Particle size analysis. : Dane DH, Topp GC, Methods of soil analysis: part 4 physical methods [Internet]. Madison, WI: Soil Science Society of America; 2002. [cited 2017 Feb 25]. p 255– 93. Available from: https://dl.sciencesocieties.org/publications/books/tocs/sssabookseries/methodsofsoilan4 Subscription required to view. [Google Scholar]
- 36. van Reeuwijk LP, Houba VJ, . Guidelines for quality management in soil and plant laboratories [Internet]. Rome: Food and Agriculture Organization of the United Nations; 1998. [cited 2017 Feb 25] 150 p. Available from: http://www.fao.org/docrep/W7295E/W7295E00.htm [Google Scholar]
- 37. Tessier A, Campbell PG, Bisson M.. Sequential extraction procedure for the speciation of particulate trace metals. Anal Chem [Internet]. 1979. [cited 2017 Feb 25]; 51 7: 844– 51. Available from: http://pubs.acs.org/doi/abs/10.1021/ac50043a017 Subscription required to view. [Google Scholar]
- 38. Oketola AA, Adekolurejo SM, Osibanjo O.. Water quality assessment of River Ogun using multivariate statistical techniques. J Environ Prot [Internet]. 2013. May [cited 2017 Feb 25]; 4 5: 466– 79. Available from: http://file.scirp.org/pdf/JEP_2013051715155848.pdf [Google Scholar]
- 39. Kabala C, Singh BR. Fractionation and mobility of copper, lead, and zinc in soil profiles in the vicinity of a copper smelter. J Environ Qual [Internet]. 2001. Mar-Apr [cited 2017 Feb 15]; 30 2: 485– 92. Available from: http://karnet.up.wroc.pl/~kabala/jeq-30-2-485.pdf [DOI] [PubMed] [Google Scholar]
- 40. Hakanson L. An ecological risk index for aquatic pollution control. A sedimentological approach. Water Res [Internet]. 1980. [cited 2017 Feb 25]; 14 8: 975– 1001. Available from: http://www.sciencedirect.com/science/article/pii/0043135480901438 Subscription required to view. [Google Scholar]
- 41. Tomlinson LD, Wilson JG, Harris CR, Jeffery DW.. Problems in the assessments of heavy-metal levels in estuaries and formation of a pollution index. Helgoländer Meeresuntersuchungen [Internet]. 1980. March [cited 2017 Feb 25]; 33 1: 566– 75. Available from: https://link.springer.com/article/10.1007/BF02414780 [Google Scholar]
- 42. Muller G. Index of geoaccumulation in sediments of the Rhine River. J Geol. 1969; 2 3: 108– 18. [Google Scholar]
- 43. Adeyi AA, Torto N. Profiling heavy metal distribution and contamination in soil of old power generation station in Lagos, Nigeria. Am J Sci Technol [Internet]. 2014. July 7 [cited 2017 Feb 25]; 1 1: 1– 10. Available from: http://www.aascit.org/journal/archive2?journalId=902&paperId=188 [Google Scholar]
- 44. Bhuiyan MA, Parvez L, Islam MA, Dampare SB, Suzuki S.. Heavy metal pollution of coal mineaffected agricultural soils in the northern part of Bangladesh. J Hazard Mater [Internet]. 2010. January 15 [cited 2017 Feb 25]; 173 1–3: 384– 92. Available from: http://www.sciencedirect.com/science/article/pii/S0304389409013909 Subscription required to view. [DOI] [PubMed] [Google Scholar]
- 45. Harikumar PS, Jisha TS. Distribution pattern of trace metal pollutants in the sediments of an urban wetland in the southwest coast of India. Int J Eng Sci Technol [Internet]. 2010. [cited 2017 Feb 25]; 2 5; 840– 50. Available from: http://agris.fao.org/agris-search/search.do?recordID=AV2012047548 [Google Scholar]
- 46. Lead at superfund sites: software and users' manuals [Internet]. Washington, D.C.: United States Environmental Protection Agency; 2009. June [cited 2017 Feb 25]. [about 7 screens]. Available from: https://www.epa.gov/superfund/lead-superfund-sites-software-and-users-manuals [Google Scholar]
- 47. Donahue RL, Miller RW. Soil: an introduction to soil and plant growth. 6th ed Upper Saddle River, NJ: Prentice Hall; 1990. March 1 1431 p. [Google Scholar]
- 48. European Commission Director General Environment, ECDGE (2010). Heavy Metals and Organic Compounds from Wastes Used as Organic Fertilizers. Final Rep., July. WPA Consulting Engineers Inc. Ref.Nr.TEND/AML/2001/07/20, pp 73– 74. http://ec.europa.eu/environment/waste/compost/pdf/hm_finalreport.pdf.
- 49. Al Obaidy AH, Al Mashhadi AA. Heavy metal contaminations in urban soil within Baghdad City, Iraq. J Environ Prot [Internet]. 2013. January [cited 2017 Feb 25]; 4 1: 72– 82. Available from: http://file.scirp.org/pdf/JEP_2013012517332954.pdf [Google Scholar]
- 50. Xian X. Effects of chemical forms of cadmium, zinc and lead in polluted soils on their uptake by cabbage plants. Plant Soil [Internet]. 1989. January [cited 2017 Feb 25]; 113 2: 257– 64. Available from: https://link.springer.com/article/10.1007/BF02280189 Subscription required to view. [Google Scholar]
- 51. Adeniyi AA, Okedeyi OO. Assessing the speciation pattern of lead and zinc in surface water collected from Abegede Creek, Ijora and Lagos. Pak J Sci Ind Res [Internet]. 2004; 47 6: 430– 4. Available from: http://www.refdoc.fr/Detailnotice?cpsidt=16819308&traduire=en Subscription required to view. [Google Scholar]
- 52. Adaikpoh EO. Metal fractionation in soil profiles in Umutu Oil Field, Northwest Niger Delta, Nigeria. Int J Chem [Internet]. 2011. February [cited 2017 Feb 25]; 3 1: 57– 67. Available from : http://www.ccsenet.org/journal/index.php/ijc/article/view/7139/0 [Google Scholar]
- 53. Iwegbue CM, Isirimah NO, Igwe C, Williams ES.. Characteristic levels of heavy metals in soil profiles of automobile mechanic waste dumps in Nigeria. Environ [Internet]. 2006. June [cited 2017 Feb 25]; 26 2: 123– 8. Available from: https://link.springer.com/article/10.1007/s10669-006-7482-0 Subscription required to view. [Google Scholar]
- 54. Gonzalez-Fernandez O, Hidalgo M, Margui E, Carvalho ML, Queralt I.. Heavy metals' content of automotive shredder residues (ASR): evaluation of environmental risk. Environ Pollut [Internet]. 2008. May [cited 2017 Feb 25]; 153 2: 476– 82. Available from: http://www.sciencedirect.com/science/article/pii/S0269749107004083 Subscription required to view. [DOI] [PubMed] [Google Scholar]
- 55. Porteus A, . editor Hazardous waste management handbook. Oxford, UK: Butterworths; 1985. 305 p. [Google Scholar]