Resources and Environment

p-ISSN: 2163-2618    e-ISSN: 2163-2634

2013;  3(5): 145-154

doi:10.5923/j.re.20130305.06

Speciation of Zinc and Copper in Open-Air Automobile Mechanic Workshop Soils in Ngara Area-Nairobi Kenya

Chengo Katana, Murungi Jane, Mbuvi Harun

Department of Chemistry, Kenyatta University P.O. Box 43844 00100 Nairobi, Kenya

Correspondence to: Mbuvi Harun, Department of Chemistry, Kenyatta University P.O. Box 43844 00100 Nairobi, Kenya.

Email:

Copyright © 2012 Scientific & Academic Publishing. All Rights Reserved.

Abstract

Increased imports of reconditioned motor vehicle in Kenya have led to an unprecedented mushrooming of open-air automobile mechanic garages in urban areas. Despite the toxic contaminants contained in garage waste, these open-air garageshave remained unregulated and theireffect to the surrounding soils and water bodies has not been evaluated. The primary objective of this study was to determine the concentration levels of Zn and Cuin the various fractions of garage soilsas a means of assessing their impacts on the environment. Soil samples were collected twice from ten sampling sites of the open-air automobile garages in Ngara area – Nairobi Kenya at a depth of 0 to 10cm. The modified Community Bureau of Reference (BCR) sequential extraction was used and metal concentration done usingFAAS. The total mean concentration levels of Zn and Cu were found to be3335.05±199.31mg/kg and 525.33±15.10mg/kg and ranged from 2962.42±754.15mg/kg to 3705.07±858.27mg/kg and 452.00±12.21mg/kg to 730.82±18.98mg/kg for Zn and Cu respectively. This indicates that the levels of the metals are high compared to the maximum allowed limits. The concentration levels of Znin the various soil fractions were almost evenly distributed in the four fractions. The percentage ratio of Zn in the fractions followed the order: reducible(26.95%)>residual(24.96%)>oxidisable(24.40%)>exchangeable(23.43%) while for Cu they followed the order: residual(51.23%)>oxidisable(27.27%)>reducible(11.31%)>exchangeable(10.19%). The sum of the percentage ratios of Zn and Cu found in the non-residual fractions was 75.04 and 48.77 respectively. The average of their mobility factors were23.93 and10.4andranged from 16.13 to 34.77 and 7.82 to 12.50 for Zn and Cu respectively. This shows that the concentrations of these metals in the soils were very high and substantial proportions of them were in the exchangeable fraction hence mobile and bioavailable. As expected from the high concentrations and mobilitiesobtained, the concentration of these metals in the nearby grass, water pools and runoffs were high.Further,their concentrationsupstream were found to belower than downstream, an indicationthat they were translocating from the garage to the surrounding environment. Pearson correlation of the concentration levels of these metalsin the exchangeable fraction with their total concentration in the soilgave significantly positive values of Zn (r=0.822) and Cu (r=0.457). This suggests that high metal concentration levels in the soils infer increased mobility and therefore bioavailability.

Keywords: Speciation, Mobility, Bioavailability, Sequential Extraction, Heavy Metals, Soil

Cite this paper: Chengo Katana, Murungi Jane, Mbuvi Harun, Speciation of Zinc and Copper in Open-Air Automobile Mechanic Workshop Soils in Ngara Area-Nairobi Kenya, Resources and Environment, Vol. 3 No. 5, 2013, pp. 145-154. doi: 10.5923/j.re.20130305.06.

1. Introduction

Soils consist of a heterogeneous medium that comprises of decomposed rock fragments, clay minerals, oxides of Fe, Al and Mn, organic materials, organo-metallic complexes and soil solutions[1]. It plays an important role in sustaining life as the very survival of mankind is tied to its productivity[2]. Apart from being a medium for plants to grow, itcan also a transmit pollutants including potentially toxic metals into the atmosphere, biosphere and water resources[3]. Heavy metals in soil exist in several different forms and are associated with various components[4]. Their accumulation in soil, particularly Pb, Cd, Cu, Ni and Zn, is of concern due to their increased use in industrial processes and commercial products[5,6 ,7 ,8].
Heavy metals emanating from anthropogenic sources are of great concern due to their instability and solubility that makes them mobile and bioavailable[9,10]. They can enter the environment in a bioavailable form and are capable of transforming to other species that are more toxic[11]. They easily accumulate in the topsoil to toxic levels due to their persistence andnon-biodegradability[12,13] and eventually make their way to humans through the food chain, where they perturb biological processes[14]. Although Cu and Zn are essential elements, they are potentially toxic to crops, animals and humans at high concentration levels[15].
It is a known fact that automobiles introduce a number of toxic metals into the environment[16]. Auto tire wear, degradation of parts and greases, peeling paint and metals in auto-catalysts are sources of heavy metal pollution[17]. Increased imports of reconditioned automobiles has led to increased wear and tear, mushrooming of open-air garageand elevatedconcentration levels of heavy metals in the soils[18,19 ,20]. Despite this, published data on heavy metal contamination in the soils is limited and the few available report total concentrations. These provide limited information on their potential toxic behaviour, mobility and bioavailability [21]. This is unacceptable especially because studies elsewhere have shown that automobile mechanic garages and automobile scrap yards harbour substantial amounts of heavy metals[5,6,22 ,23].
Once in soil,metals can exist in various forms classified as mobile, mobilisableand immobile fractions[14]. Therefore, the total metal concentration alone does not provide predictive insights on their bioavailability, mobility and fate[24,25]. The chemical forms of the metalsareimportant factors in assessing their impacts on theenvironment[26,27 ,28]. A high concentration and mobility level of these metals poses great danger to life and its environment asthey canmake their way to humans through the food chain[86].
There has been increased interest in the studies on speciation or chemical forms of heavy metals in polluted soils and sediments using sequential extraction techniques because these provide knowledge on metal affinity to soil components and the strength with which they are bound to matrix. The use of sequential extractions, although time consuming, furnishes detailed information about the origin, mode of occurrence, biological and physicochemical availability, mobilization and transport of themetals[29,30]. Sequential extraction procedures selectively extract metals bound by specific soil fractions with minimal effects on the soil components. In practice, sequential fractionation schemes have been suggested to identify element distribution within operationally defined soil pools[31]. These chemical pools range from water soluble to recalcitrant forms immobilized in mineral lattices. In the modified BCR, a four step sequential extraction method, has made it possible to harmonize the extraction schemes for the determination of extractable metals and can be used to enhance quality control of the whole analysis procedure, a key issue in interpreting this type of operational defined speciation.
The procedure consists of using four fractions which allow the identification of three distinct parts (or compartments) and a residual: The Fraction bound to carbonates (F1) comprises metals adsorbed on the surface of soil. It is the most accessible and represents the exchangeable fraction. Metals on this fraction are easily mobile and are assumed to be available. The decrease of pH leads them to migrate from the solid phase to water and plants[36]. This represents the water and acid soluble as well as exchangeable fraction and is extracted with 0.11 molL-1 acetic acid[41]. The fraction of metal bound to iron and manganese oxides (F2) is sensitive to redox potential changes and represents the fraction that can be solubilized under reducible conditions. It represents the reducible fraction and extracted using a solution of 0.1 M NH2OH.HCl at pH 2. The fraction bound to organic matter (F3) is temporarily inaccessible and can only be solubilized under chemical oxidation. It represents the fraction combined with organic materials and is extracted using a solution of 1.0 M NH4Ac after the sample has been digested with H2O2[32,41]. The Residual fraction (F4) mainly contains metals built in the crystal lattice of minerals. In natural conditions, they are practically inaccessible for living organisms and can be considered as permanently immobile. This fraction is extracted using aqua regia.
The aim of this study was to determine the concentration levels of Zn and Cu in the various fractionsof soils of open-air automobile mechanic garage of Ngara, Nairobi, Kenya so as to assess their association, bioavailability and environmental contamination risk based on their chemical form. The need for this research arose becausethere are no reports on speciation of heavy metals in soil of these garages despite their rapid increase.

2. Materials and Methods

2.1. Area of Study

Nairobi, the capital city of Kenya covers an area of 697 km2and has a population of over 3.1 million[33]. Nationally, Nairobi has been established to have the greatest concentration of industrial and automobile pollution sources[34]. The main focus of the study was Ngara area located within Nairobi city–Kenya. The area is a host to many open-air vehicle mechanic workshops. A section of the Nairobi river cuts across the study area from northwest to southeast.

2.2. Sampling and Sample Pre-treatment

Ten sampling points each 4m x 4m quadrants were chosen with reference to potential sources of the heavy metals. Each quadrant was subdivided into twenty cells (20cm by 20cm) denoting a sampling point. Soil samples from ten randomly selected cells of each quadrant were collected at depths of 0-10cm and mixed to obtain a representative composite sample. This was done twice in the rainy month of April ten days apart. The samples obtained were placed in separate labelled polyethylene bags and transported to the laboratory at room temperature on the same day. In the laboratory extraneous materials were removed, the soil samples air-dried and homogenized by grinding. They were then oven-dried to a constant mass for 48 hours at 50℃, cooled and sieved using size 600 µm mesh to remove large undesired particles sizes. The sieved soil samples were then ground to powder form using an agate mortar and pestle to particle sizes of nanometres range. The resultant powder was stored in clean labelled polyethylene bags in a desiccator until analysis[37].

2.3. Analysis

Heavy metals in the soil were extracted using the modified BCR chemical sequential extraction[40,41]. Theexchangeable and acid soluble fractions (F1), was extracted by shaking about 1.0g soil sample in a 40mL solution of 0.11 M CH3COOH for 16 hours at room temperature. The reducible fractions (F2), was extracted by shaking the residue from (F1) in a 40mL solution of 0.1 M NH2OH.HCl at pH 2 for 16 hours at room temperature.The residue from (F2) was treated twice with 8.8 molL-1 hydrogen peroxide, evaporated to near dryness, 50 mL of ammonium acetate was added and the pH was adjusted to 2 using nitric acid and shaken overnight. The mixture was then centrifuged to separate (F3), the extract representing the oxidizable fraction. The residual fraction was extracted by digesting residue from (F3) using 20mL of aqua regiasolution[40,41]. Similarly extract for total metal concentration (bulk soil analysis) was obtained by extracting about 1.0g of soil sample with about 20mL of aqua regiasolution[40,41]. The concentration of metal in the various fractions was determined using a flame atomic absorption spectrophotometer (Model Buck Scientific210 VGP). The levels of Cr and Ni obtained in the various fraction and bulk were used to calculate their concentrations in the fractions and bulk soil respectively.
The recovery of the sequential extraction was obtained as a percentage ofthe sum of four fractions over directly measured total, [(sum of fractions/total metal)x100][35].All analysis was done in triplicate and the three absorbance readings averaged. Quality checks were also performed on the instrument by checking the absorbance after every ten sample runs[36].
The pH and total organic carbon were measured using standard procedures[37]. Soil pH was measured by using a suspension of 1.0g of soil placed in 10mL of deionized water. For total organic carbon (T O C), 1.0 g of soil (dried at 105℃ for 1hr) was placed in a ceramic crucible, heated to 550℃ for 2 hours, cooled in a desiccator then weighed[38]. The soil organic matter (SOM) obtained was converted to total organic carbon (TOC) using a 1.9 correctionfactor[39,40 ,41]. The measurements were done in triplicates. All chemicals were of analytical grade and all plastic and glass wares for metal analysis were previously soaked in 10%nitric acid (HNO3) (v/v), for 48 hours to remove all entrained metals, washed with detergents and rinsed with deionized water. All glassware were soaked in 10% HNO3, washed before use, and rinsed with deionized water. The arithmetic means (AM) of the triplicate extraction results were calculatedand their standard deviations (STD) determined[42].

3. Results and Discussion

3.1. Total Heavy Metal Concentration

The total concentration levels of the metals are shown in table 1 and their variations at the ten sampling sites expressed as a bar graph in Fig 1. Themean of the total concentrations of zinc and copper were 3335.05 ± 199.31mg/kg and 525.33±15.10mg/kg and ranged from 2962.42±754.15mg/kg to 3705.07±858.27mg/kg and from 452.00±12.21mg/kg to730.82±18.98mg/kg respectively. These concentration levels exceeded the warning and critical limits for Zn in soil, which are set at 150 and 300 mg/kgrespectively[43,44 ,45] and the maximum allowed concentrations for Cu in soils set at 50 mg/kg[46]. The high concentration levels and high standard deviation values point to a spatial distribution attributed to conditions either inherited from human interferences with nature and/or induced by various sources of contaminations at the area[47]. This supports that they are derived from the automobile repair activities at the study area.
The contamination index (pollution index-Pi) of the metals in the soil samples was obtained by dividing the total concentration obtained by its maximum allowed limit, MAL[48]. The mean pollution indexes obtained were11.12 for Zn and 10.51 for Cu as shown in Table 1. Traditionally the data obtained from calculation of the contamination index is grouped into four grades that range from unpolluted to highly polluted soils as follows: 0 to 0.99 (uncontaminated), 1.0 to 1.19 (moderately to highly contaminated), 1.2 to 1.99 (highly contaminated), 2.0 to 3.5 (very highly contaminated)[10,49]. Based on this scale, it is clear that the study site is highly contaminatedwith the heavy metals studied.
Figure 1. Variations in the total concentration of Zn and Cu at the ten sites
Table 1. Total mean concentration and pollution index of Zn and Cu at The ten sites
     
Table 2. Average concentrations of Zn and Cu in the four fractions at the ten sites
     

3.2. Fractionation of the Metals

The average concentration levels of Zn and Cu in the four soil fractions at the ten sites areshowninTable2. From the results, Zn though almost evenly distributed in the four fractions was highest in the reducible fraction with about 27% of the total concentration in the soil while the exchangeable fraction had the lowest with about 23%. The concentration levels in the fractions followed the order: Reducible (924.80 ± 81.38mg/kg)> residual(856.53±54.64mg/kg) > oxidisable (837.15 ± 33.79mg/kg) > exchangeable (803.84 ± 59.95mg/kg). This is in agreement with earlier workers that have reported Zn to be preferably associated with Fe-Mn oxides[50,51]. Zinc in this form (reducible fraction) has been reported to be an important source of heavy metals under reducing conditions[52]. Studies have also shown that a high proportion of metalsin association with this oxide phases is indicative of anthropogenic pollution[4,48,49]. ForCu, the residual fraction had the highest concentration level of about 51% of the total while the exchangeable had the lowest at about 10%. The concentration levels in the fractions followed the order: Residual (258.73 ± 13.14mg/kg) > oxidisable (137.72 ± 4.45mg/kg) > reducible (57.12 ± 1.41mg/kg) > exchangeable (51.48±0.99mg/kg).
The moderately high percentage of Cu in the oxidisable (organic bound) fraction indicates its strong ability of the heavy metal to form complexes with organic matter thereby reducing its mobility and phytotoxicity[53]. Comparable percentagesof theorganic-bound Cu that ranges between 28 to 32% of the total metal concentration in soils have been reported by other workers[54,55 ,56]. The strong association between soil Cu and the organic matter is also in agreement with the general finding that Cu forms stable complexes with soil humus[57].
The amounts of non-residual fractions (F1, F2 and F3) represents the amounts of active heavy metals while those of the residual fractions may be considered to be the stable form and thus not available to plants for a reasonable period[58]. In this research, the average percentage proportions of Cu and Zn in the non-residual fractions of the soil were 48.77% and 74.78% respectively suggesting that Zn was more mobile and bioavailable. Studies have shown that the residual fraction is a relatively stable and weakly available fraction and that its proportion reflects the native metal concentration in soil and have little or no environmental significance[59,60]. Although this latter assumption might be questionable, studies have shown that the removal of metals from the residual fraction requires the use of aggressive extracting solutions[61,62].

3.3. Mobility and Mobility Factor (MF) and Recovery

The form of the element is very important in assessing its effect as a soil contaminantbased onits uptake and related phytotoxic effects[63,64 ,65]. The average Mobility Factors(MF), calculated as a percentage of the concentration of metal in the exchangeable fraction and its pseudo total concentration (sum of metal concentration levels in all the four fractions) were found to be about 24% for Zn and 10% for Cu as shown in table 2. This infers a moderately high mobility and hence bioavailability of the metals[66,67 ,68]. Studies have shown that heavy metals are potentially available for plant uptake, if the Mobility Factor is above 10%[69,70].These high mobility factors are further indication that the metals originated from anthropogenic sources[4,68,71 ,72].
Figure 2. Variations in the concentrations of Zn in the four fractions at the ten sites
Figure 3. Variations in the concentrations of Cu in the four fractions at the ten sites
It is worth noting that the mobility factors, MF of the metals varied significantly at the ten sites as can be inferred from Figure 2 for Zn and Figure 3 for Cu. For Zn it ranged from 17.02 % to 34.77% while for Cu from 7.82% to 12.30%. These variations are further evidence that their sources are from human interferences with nature and/or induced by various sources of contaminations at the sites[45].
Thepseudo total concentration of the sequential extraction calculated as a sum of four fractions was found to be 505.05±5.00mg/kg for Cu for Cr and 3431.32±57.44mg/kg for Zn.The recovery total concentration of the sequential extraction was calculated as a percentage of calculated pseudo total concentration divided by the directly measured total concentration and found to range from96.14% to 102.89% as shown in Table 3[73]. This recovery range shows that the results obtained from single digestion with aqua regia were in good agreement with those of the sequential extraction procedure[74].
Table 3. Average mobility and recovery of Cu and Zn in the ten sites
     
Table 4. pH and total organic carbon (T.O.C) in the ten sampling sites
     

3.4. Soil Physicochemical Properties (pH and Total Organic Carbon TOC)

The soil samples were found to be oily, greasy and their pH ranged from 8.5 to 9.17 as shown in Table 4. ThesepH values were higher than those reported for garage soils by other workers[75,76 ,77]. This type of alkalinityis common in anaerobic soils as a result of oxygendeficiency[78,79 ,80 ,81]. Heavy metals are mostly soluble and available at low pH[82]. The solubility of Zn and Cu was reported to be higher at pH range 4-5 than at pH 5-7. Zinc is relatively mobile at low pH, while Cu is lowly mobile[83]. The values of the Total Organic Content, T.O.C obtained varied significantly and ranged between 13.51-18.95% as shown in Table 4.

3.5. Interrelationships among Various Fractions, pH and TOC

Table 5 gives Pearson correlation values between the metal concentration levels of the various fractions with their total concentrations in the soil. A strong positive correlation was found to existbetween the concentrations of Cu in the exchangeable and those in the reducible fractions. Concentrations of Zn in the exchangeable fraction correlated positively with those in the oxidisable fractions. In addition a certain positive correlation was observed between the concentration levelsof both Zn and Cu in the exchangeablewith those found in the residual fractions. Furthermore a strong positive correlation was observed between the concentrations of Zn and Cu in the exchangeable fraction and their total concentrations in the soil. The concentration levels of Cu and Zn in the reducible fractions were also found to have a strong positive correlation with those in the exchangeable fractions. A similar observation was also made between the concentrations in the reducible and the oxidisable fractions for Zn and between the concentrations in reducible and residual fractions with the total concentrations for Zn and Cu.The significant positive correlation of concentration levels in the exchangeable fraction with the total concentration levelsof the metals implies that soils with high total concentration level will also have high amounts that are mobile.
Some researchers have shown that a correlation exists between the exchangeable heavy metal concentrations and some physicochemical properties[84,85]. In the first BCR step, the concentration of Cu in the exchangeable (acid–soluble) fractionshowed a positive correlation with the pH and a negative one with the T.O.C. For the second step of the BCR method, the reducible fraction, the concentration of Cu presented a high positive correlation with the pH while that of Zn had a certain positive correlation with T.O C. For the oxidisable fraction, only Zn concentrationsshowed a certain positive correlation with pH while the concentrations of the two elements correlated negatively with T.O.C. Zn concentrations in the residual fraction correlated positively with pH while only that of Cu correlated positively with T.O.C as shown in Table 6.
Table 5. Values of the Pearson correlation between the fractions and the total concentration
     
Table 6. Values of the Pearson correlation between the fractions pH and TOC
     

3.6. Concentration of Zn and Cu in Grass and Water

As expected from the high concentrations and mobility factors obtained, the levels in the nearby grass, water pools and run offs were high. Furtherconcentration levels of the metals down stream were slightly higherthan those found up stream. This is evidence that the metals were translocating from the garage soils to the surrounding environment. Cu was found to have higher concentration than Zn in the nearby grass as shown in Table 7 despite its lower concentration levels and mobility factors. This suggests that grass is a bioaccumulator of Cu. Since heavy metals can be transferred through food chain, there are a potential risk to ruminant animals grazing within or near automobile mechanic garages[86]. The levels of Zn and Cu in water ranged from; 26.52 to 44.63 and 1.58 to 4.45 mg/kg respectively. The concentrations of the metals in water near and within the garage were significantly high indicating considerable pollution. This means that the metals may leach into surface and ground water thus affecting their quality[87].
Table 7. Levels of Cr and Ni in ppm in the nearby grass and water
SampleZn(Mean±SE)Cu(Mean±SE)
Grass24.05±0.7499.41±2.37
Water (100 m upstream )33.25±0.001.65±0.00
Water (200m upstream)30.04±0.001.58±0.00
Water (100m downstream)38.82±0.001.74±0.00
Water (200m downstream)38.62±0.001.83±0.00
Water (at garage pools)44.63±8.384.45±0.22
Water (site run off )26.52±3.983.78±0.12
p-value0.002<0.001

4. Conclusions

These results indicate that Zn and Cu concentration levels in the top 10.0 cm of soil at the ten sampling points are well above the maximum allowed limits and have caused severe to excessive contamination capable of serious ecological and public health hazards. This implies that metal concentration levels at the study site are not from natural geology,weathering processes or deposition. The study also revealed the geochemical nature of the two metals and their probable association with different chemical forms in the soils within and around the automobile mechanic workshops. The results further showed that the metal concentration levels found in the non-residual fractions were higher than those observed in the residual fractions for Zn and that high percentages of Zn was found in a form readily available for introduction into the food chain. The relatively high mobility factors observed in the metals confirms the high lability, and biological availability of the metals in the soils studied. Thus the metals studied pose environmental risks. Consequently an environmentally friendly automobile mechanic workshop management concept that emphasizes on proper procedures of waste disposalshould be established. The poor infrastructural development common at such workshops calls for immediate action. The workshops should be properly planned and mechanics made to operate under defined code of practices. Continuous education and training thatemphasizes on the environmental implications of poor waste management and proper waste management proceduresshould be provided to them. Efficient and affordable soil remediation programs are also recommended at the sites.

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