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Bioresource Technology xxx (2007) xxx–xxx
Distribution of heavy metals and hydrocarbon contents in
an alfisol contaminated with waste-lubricating oil amended with
organic wastes
J.K. Adesodun
a
a,*
, J.S.C. Mbagwu
b
Department of Soil Science and Land Management, University of Agriculture, P.M.B. 2240, Abeokuta 110001, Ogun-State, Nigeria
b
Department of Soil Science, University of Nigeria, Nsukka, Enugu-State, Nigeria
Received 28 November 2006; received in revised form 24 May 2007; accepted 24 May 2007
Abstract
Contamination of soil and groundwater with mineral oil-based products is among the most common sources of pollution in Nigeria.
This study evaluated the distribution of some heavy metals and hydrocarbon content in soil contaminated with waste-lubricating oil
(spent oil), and the effectiveness of some abundantly available organic wastes from animal source as remediation alternative to the expensive chemical and physical methods. The main-plot treatments include control (C), cow dung (CD), poultry manure (PM) and pig waste
(PW) applied at 10 Mg/ha each; while the sub-plot treatments were control (0%), 0.5%, 2.5% and 5% spent oil (SP) applied at 10, 50 and
100 Mg/ha, respectively arranged in a split-plot in Randomized Complete Block Design (RCBD) with four replications. These treatments
were applied once each year for two consecutive years. Soil samples (0–20 cm) were collected at 3, 6 and 12 months each year and analyzed for Cr, Ni, Pb and Zn, while the residual total hydrocarbon content (THC) was determined at the end of the 2 years study. Results
show significant (p < 0.05) accumulation of these metals with spent oil pollution following the sequence 5%SP > 2.5%SP > 0.5%SP, indicating higher metal pollution with increase in oil pollution. General distribution of Cr, Ni, Pb and Zn, relative to sampling periods, followed 3 months > 6 months > 12 months in the 1st year indicating reduction in metal levels with time. The trend for 2nd year indicated
higher accumulation of Cr and Ni in 12 months, while Pb and Zn decreased with time of sampling. The results further showed higher
accumulation of Cr followed by Zn, relative to other metals, with oil pollution. However, addition of organic wastes to the oil polluted
soils significantly (p < 0.05) led to reduction in the levels of the metals and THC following the order PM > PW > CD.
2007 Elsevier Ltd. All rights reserved.
Keywords: Waste-lubricating oil; Heavy metals; Hydrocarbon content; Organic wastes; Soil contamination
1. Introduction
The soil is the primary recipient by design or accident of
a myriad of waste products and chemicals used in modern
industrial society (Brady and Weil, 2002). Contamination
of soil and groundwater with petroleum mineral oil and
mineral oil-based products is among the most common
sources of pollution in Nigeria. The spent oil, otherwise
*
Corresponding author. Tel.: +234 8033469381.
E-mail address: jadesodun@yahoo.com (J.K. Adesodun).
called waste-lubricating oil, obtained after servicing and
subsequent draining from automobile, generators and
industrial machines is disposed off indiscriminately in Nigeria, and adequate attention has not been given to its disposal (Anoliefo and Vwioko, 1995).
Analytical procedures commonly used to assess contamination by petroleum products are determination of hydrocarbon fractions, total hydrocarbon and heavy metal
contents. The heavy metals and hydrocarbon belong to
types of toxic substances that have adverse effects on
health. Environment Canada (1996) reported that heavy
metals might adversely affect specific tissues, reproduction
0960-8524/$ - see front matter 2007 Elsevier Ltd. All rights reserved.
doi:10.1016/j.biortech.2007.05.048
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J.K. Adesodun, J.S.C. Mbagwu / Bioresource Technology xxx (2007) xxx–xxx
and development. This may also cause anemia, nervous
system disorders and depressed immune systems, resulting
in mortality and effects on population levels (Environment
Canada, 1996). Whereas, hydrocarbon contamination
exerts adverse effect on soil condition such as higher acidity, reduced C, N, P and exchangeable cations availability,
and depressed microbial activity. Industrial wastes containing heavy metals are one of major sources of water pollution (Al-Ashen et al., 1999). The type of metals present in
certain waste depends on processes which generated this
waste. While Edebiri and Nwanokwale (1981) reported
that metals present in spent oil are not necessarily the same
as those present in the unused lubricants, Whisman et al.
(1974) observed that most heavy metals like Va, Pb, Al,
Ni and Fe that are below detection in unused lubricants
oil gave high concentration values in used oil. Since Nigeria
was reported to account for more than 87 million litres of
spent oil waste annually (Anon, 1985), the need to evaluate
the risk posed by this pollutant becomes imperative.
Remediation approaches are generally classified as physical, chemical and biological. The conventional methods
include soil extraction and landfill of the top contaminated
soils ex situ is highly effective and clear-cutting (Zhu et al.,
2004). This method is often too expensive due to high cost
involved in the disposal of the contaminated soil, transportation and backfill of the original site with clean soil (Zhu
et al., 2004; Ryan et al., 2001). Hence, in situ bioremediation
has been one of the preferred methods for the remediation
of petroleum-contaminated site because it is cost-effective
and naturally converts the hydrocarbons to harmless byproducts such as carbon dioxide and water. The soil is not
transported elsewhere as with landfilling, and easier to
scale up to treat large volume of wastes. However, design
of in situ bioremediation under specific on-site conditions
may remain a challenging issue (Huang et al., 2006). Also,
Mohan and Singh (2002) noted that techniques utilizing
biological materials, mineral oxides and activated carbon
or polymer resins have evolved as options for adsorption
of metals which cannot be removed by other techniques.
Therefore, this study focused on (i) distribution of some
metals (Cr, Ni, Pb and Zn) and total hydrocarbon content
(THC) in soil contaminated with varying levels of spent oil
and spent oil contaminated soil amended with organic
wastes from animal source and (ii) evaluation of differential
effectiveness of cow dung (CD), poultry manure (PM) and
pig waste (PW) as remediation option. Addition of the
organic wastes to some contaminated plots was to serve
as nutrients supplement aimed at stimulating biodegradation of this spent oil and to ameliorate the risk of metals
from the oil on the environment. The choice of CD, PM
and PW was because these wastes are abundantly available
in Nigeria, and are cheaper as remediation alternative to
the chemical and physical methods that are expensive.
2. Methods
2.1. Site description
The experiment was sited at the University of Agriculture, Teaching and Research Farm, Abeokuta, southwestern Nigeria (Lat. 7.12 N and Long. 3.23 E) located
within the transition zone of the sub-humid forest to the
south and derived savannah to the northwest (Keay,
1959). The soil of this research site is well-drained sandy
Table 1
Selected properties of the experimental site, and organic wastes and spent oil applied
Parameter
Units
Soil
CD
PM
PW
SPa
Sand (2000–50 lm)
Silt (50–2 lm)
Clay (<2 lm)
Texture
pH (H2O)
OC
Total N
C:N
Average P
Ca
Mg
K
Na
Exch. Acidity
ECEC
Crb
Nib
Pbb
Znb
g/kg
g/kg
g/kg
836
48
116
Sandy loam
6.4
8.3
0.71
11.7
7.4
6.09
2.21
1.24
1.13
0.6
11.27
39.5
0.33
6.25
7.11
–
–
–
–
6.7
2.4
0.97
12
126.5
103.4
105.8
0.9
10.5
0.2
–
342
8.9
BD
31.1
–
–
–
–
7.5
39.5
4.0
9.9
143.6
116.8
129.4
1.1
3.6
0.1
–
114.8
28.9
BD
38.6
–
–
–
–
–
13.2
1.30
10.2
74.8
75.0
75.8
0.9
3.0
1.2
–
269.7
33.6
BD
121.8
–
–
–
–
5.8
g/kg
g/kg
–
mg/kg
cmol/kg
cmol/kg
cmol/kg
cmol/kg
cmol/kg
cmol/kg
mg/kg
mg/kg
mg/kg
mg/kg
30.7
2.66
11.5
0.1
6.5
3.07
240
486
BD = Below determined.
a
mg/l.
b
Metal concentrations in soil were determined by Aqua Regia-soluble extraction method, while metals in CD, PM, PW and SP was by extraction with
HClO4, HNO3 and H2SO4 method.
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loam on the surface with gravelly sandy clay loam on the
sub-surface derived from basement complex, and classified
as Oxic Paleustalf (FDALR, 1990). Selected physical and
chemical properties of this site are presented in Table 1.
The area has a bimodal rainfall pattern with rains usually commencing in late March or early April and ending
in late October or early November with a short dry spell
in August. The mean annual rainfall is about 1470 mm
with the maximum rainfall in July and September, while
the mean monthly temperature range between 28 C and
32 C.
3. Experimental layout
A land area of 0.0289 ha was used for this study. The
field experimental layout consists of four (4) treatments
in each main and sub-plots. The main treatment plots measure 12.25 m2 (3.5 m · 3.5 m), while the sub-plots measure
2.25 m2 (1.5 m · 1.5 m). Each treatment was replicated
four times, making a total of 64 plots. The plots were raised
beds with guiding borders to prevent spill over between the
plots, and they were separated by 50 cm border rows.
Organic waste treatments include control (C), cow dung
(CD), poultry manure (PM) and pig waste (PW) at
10 Mg/ha (dry matter) each; while the waste-lubricating
oil (Rubia S SAE 40), also called spent oil, treatments
include control (0%), 0.5%, 2.5% and 5% spent oil (SP)
applied at 0, 10, 50 and 100 Mg/ha, respectively. This spent
oil was sourced from heavy machines, and each concentration was uniformly applied on the surface of each plot and
mixed with the soil.
Nutrient supplements (organic wastes) were applied to
both the oil polluted and unpolluted plots 7 days after oil
treatment. Since addition of oil to soil widens C/N ratio
thus making the soil ecosystem unfavourable for microbial
species, these organic amendments were applied to augment the soil fertility status, i.e. increase the N and P,
thereby narrowing the C/N ratio to encourage the proliferation of microorganisms that could utilize the hydrocarbons as C and N energy sources. All the treatments were
applied in a single dose each year for two years. That is,
the first year application was in August 2000, while the second application was in October 2001. By the second year,
oil contaminated plots had a total spent oil application of
10, 50 and 100 g/kg, respectively, representing total spent
oil loading of 1%, 5% and 10% (W/W).
3
5. Laboratory analysis
5.1. Heavy metal concentrations
The concentration of heavy metals was determined by
Aqua Regia method, as modified by Salt (1998), at the
Laboratory of the School of Biological and Environmental
Sciences, University of Stirling, Scotland, UK. The procedure involved digestion of 3 g air-dried, pre-sieved
(<2 mm), soil samples with 10 ml of concentrated HCl
and 3.5 ml of concentrated HNO3 (Analar grade). Every
digest batch included 2 blanks and 1 International Atomic
Energy Agency (IAEA) reference soil material of known
metal concentrations for quality control check. The mixtures were left overnight in the digestion block without
heating under the switch-on fume cupboard. The following
day, they were heated for 2 h to 140 C, gradually increasing the temperature to control foaming. Distilled water was
added to cool the digestates and then filtered with Whatman No. 542 filter paper (pre-washed with 0.5 M HNO3
and wash solution discarded) and topped up to 100 ml with
distilled water.
The filtrates were analyzed for Cr, Ni, Pb and Zn by
flame atomic absorption spectroscopy (FAAS) using a
UNICAM 989 AA Spectrophotometer run on SOLAAR
software system version 5.28. AAS standards were made
up in 2.7 M HCl/0.5 M HNO3 (10 ml HCl and 3.5 ml
HNO3 per 100 ml).
5.2. Total hydrocarbon contents
Hydrocarbon content of the residual spent oil was determined gravimetrically by toluene extraction (cold extraction) to provide an estimate of total hydrocarbon content
(THC). In this procedure, 10 g of soil sample was weighed
into 50 ml flask and 20 ml toluene (Analar grade) added.
After shaking for 30 min the liquid phase of the extract
was measured spectrophotometrically at 420 nm using Jenway 6100 spectrophotometer. The THC in soil was estimated with reference to standard curve derived from
fresh spent oil diluted with toluene.
6. Data analysis
Analysis of variance was performed using General Linear Model (GLM) procedure of MINITAB Software
Release 13 (2000). Experimental precision achieved was
reported by standard error (SE) at P < 0.05 level.
4. Sampling
7. Results
Soil samples were collected at 0–20 cm depth from each
plot at 3, 6 and 12 months each year after application of
treatments for metal concentrations, while samples were
collected at same depth at the end of 2 years for residual
oil content determination. These samples were air-dried
at room temperature and pre-sieved using 2 mm sieve for
the analyses.
7.1. Distribution of heavy metals relative to treatments
applied
Results presented in Figs. 1 and 2 shows Cr, Ni, Pb and
Zn levels in treated and untreated plots relative to the sampling periods. Quality control of the Aqua Regia extraction
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a
90
80
70
Conc. (mg/kg)
60
Cr
Ni
Pb
Zn
50
40
30
20
10
+5
%
SP
+5
%
SP
PW
PM
5%
SP
+5
%
SP
D
C
2.
5%
SP
+2
.5
%
SP
PM
+2
.5
%
PW
SP
+2
.5
%
SP
CD
0.
5%
SP
+0
.5
%
SP
PM
+0
.5
%
PW
SP
+0
.5
%
SP
C
D
PM
PW
C
CD
0
Treatments
b
160
140
Conc. (mg/kg)
120
100
Cr
Ni
Pb
Zn
80
60
40
20
5%
SP
D+
5%
SP
PM
+5
%
PW SP
+5
%
SP
C
2.
5%
SP
+2
.5
%
S
PM
P
+2
.5
%
PW
SP
+2
.5
%
SP
D
C
0.
5%
SP
+0
.5
%
SP
PM
+0
.5
%
PW
SP
+0
.5
%
SP
C
D
PW
D
C
PM
C
0
Treatments
C
100
90
80
Conc. (mg/kg)
70
60
50
Cr
Ni
Pb
Zn
40
30
20
10
+5
%
SP
SP
PW
%
SP
PM
+5
%
SP
5%
+5
CD
+2
.5
%
SP
+2
.5
%
PW
SP
+2
.5
%
SP
PM
SP
2.
5%
D
C
0.
5%
SP
D+
0.
5%
PM
SP
+0
.5
%
PW
SP
+0
.5
%
SP
C
PW
PM
C
D
C
0
Treatments
Fig. 1. Spent oil-induced heavy metal concentrations (mg/kg) during 1st year pollution. (a) 3 months; (b) 6 months; (c) 12 months. Vertical bars represent
the SE.
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5
Fig. 2. Spent oil-induced heavy metal concentrations (mg/kg) during 2nd year of pollution. (a) 3 months; (b) 6 months; (c) 12 months. Vertical bars
represent the SE.
method used for determination of the metal concentrations
was done with the aid of reference soil sample from the
International Atomic Energy Agency (IAEA). Heavy metal
values from the reference soil sample were compared with
the IAEA Certified Reference Values supplied by IAEA
with the sample. The quality control check showed that
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the Aqua Regia extraction method accounted for more than
70% Cr, Ni, Pb and Zn concentrations in this experiment.
The general trend in the 1st and 2nd year (Figs. 1 and 2)
indicated that there were significant (p < 0.05) accumulation of Cr, Ni, Pb and Zn in soils polluted with spent oil
and plots supplemented with organic wastes than the control. This study further showed higher accumulation of Cr
and Zn (Figs. 1 and 2), relative to other metals, with spent
oil pollution. However, addition of organic wastes to the oil
polluted soils significantly (p < 0.05) led to reduction in the
levels of these metals.
The distribution of each metal in the 1st year showed
that Cr levels ranged between 6.6 mg/kg (control) and
78.3 mg/kg (5%SP) at 3 months, 7.0 mg/kg (control) and
124.1 mg/kg for plots treated with PW + 0.5%SP at
6 months and 7.0 mg/kg (control) and 89.1 mg/kg (5%SP)
at 12 months. Ni concentration was least in the control plot
(0.04 mg/kg, while the highest concentration (3.25 mg/kg)
observed in plots treated with only 5%SP for 3 months
was significantly (p < 0.05) different from the control. At
6 months, the highest Ni accumulation (3.52 mg/kg) was
observed in plots treated with PW + 2.5%SP, whereas plots
treated with only 5%SP had highest concentration
(3.56 mg/kg) at 12 months (Fig. 1).
Distributions of Pb and Zn in the first year (Fig. 1) for
plots polluted with spent oil and spent oil polluted plots
supplemented with organic wastes show significant increase
(p < 0.05) in these metal concentrations with increase in oil
pollution levels.
The overall sequence of Cr, Ni, Pb and Zn accumulation
in plots polluted with oil, was 3 months > 6 months >
12 months indicating reduction in the levels of these metals
with time (Fig. 1), irrespective of pollution levels. The only
exceptions observe were in the plots polluted with 5%SP
where levels of Cr increased to 90.6 mg/kg and 89.1 mg/
kg for 6 months and 12 months, respectively when compared with 78.3 mg/kg for 3 months. However, in oil polluted plots amended with organic wastes, i.e. CD, PM
and PW, Cr levels were higher in the 6 months compared
with 3 and 12 months; while the general sequence for Ni,
Pb and Zn was 3 months > 6 months > 12 months.
Since there is currently no legislative values for land contamination by metals for Nigeria, the tolerable levels of
Kabata-Pendias and Pendias (1984) commonly used for
evaluation of soils around the world was adopted for this
study. According to Kabata-Pendias and Pendias (1984),
corresponding values for Cr, Ni, Pb and Zn are 75, 100,
100 and 70 mg/kg, respectively. Values above these tolerable levels are considered phytotoxically excessive (Kim
et al., 2002).The values observed at 3 months (Fig. 1) for
Cr, Ni, Pb and Zn were generally below these limits. Cr
concentration of 78.3 mg/kg for plots treated with only
5%SP was above the tolerable limit at 3 months. At
6 months in the first year, Cr levels in CD + 0.5%SP
(116.4 mg/kg), PM + 0.5%SP (86.9 mg/kg), PW + 0.5%SP
(124.1 mg/kg), 2.5%SP (84.7 mg/kg), CD + 2.5%SP
(82.7 mg/kg), PW + 2.5%SP (84.04 mg/kg), 5%SP (90.6
mg/kg), CD + 5%SP (113.1 mg/kg) and PW + 5%SP
(87.5 mg/kg)) were above the 75 mg/kg tolerable limit of
Kabata-Pendias and Pendias (1984). However, Ni, Pb
and Zn concentrations at this sampling period were below
their tolerable limits. Generally, application of organic
wastes to oil polluted plots at 6 months show elevated
accumulation of Cr in plots supplemented with cow dung
(CD) and pig waste (PW), particularly at 2.5% and 5%
oil pollution levels. However, PM led to reduction in Cr
released into the soil when compared with plots polluted
with only spent oil (Fig. 1).
Observation at 12 months (Fig. 1) indicated increase in
Ni concentrations in all the treated plots, and reduction
in Cr, Pb and Zn levels when compared with observations
at 6 months. Whereas, only Cr concentration of 89.1 mg/
kg for 5%SP treated plots was above the tolerable limit.
Heavy metals accumulation in the 2nd year of this study
(Fig. 2) following repeat application of treatments generally followed the trend observed in the first year, indicating
that treatment with only oil and oil-polluted plots supplemented with organic wastes led to elevated metal concentrations, particularly Cr. The metal values were
significantly (p < 0.05) higher in treated plots than the control (Fig. 2).
Cr levels at 3 months (Fig. 2) were 67.8 mg/kg for
0.5%SP, 68.0 mg/kg for 2.5%SP and 75.9 mg/kg for
5%SP. The concentration of Cr (75.9 mg/kg) observed in
plots treated with only 5%SP was significant (p < 0.05) different than values observe for 0.5%SP and 2.5%SP
treatments.
The general trend for Ni, Pb and Zn concentrations at
3 months, for both plots treated with only spent oil and
oil-polluted soils amended with organic wastes, was
5%SP > 2.5%SP > 0.5%SP representing increase in metals
levels with increase in oil pollution.
Overall observations with time of sampling in the 2nd
year (Fig. 2) followed the order 12 months > 3 months >
6 months for Cr and Ni and 3 months > 6 months >
12 months for Pb and Zn. These trends indicate higher
accumulation of Cr and Ni in the 12th month, while Pb
and Zn levels decreased with time of sampling. Zn levels,
relative to other metals, were higher in the 2nd year following re-application of treatments than values observe in the
1st year. Metal levels in the 2nd year were generally lower
than the tolerable limits considered to be phytotoxic. The
only exceptions were Cr levels of 75.9 mg/kg for 5%SP
(3 months), 75.6 mg/kg and 84.3 mg/kg for 2.5%SP and
5%SP, respectively in 12 months which were above the tolerable limits.
This study show elevated accumulation of metals with
spent oil pollution following the order 5%SP > 2.5%SP >
0.5%SP. The organic wastes (CD, PM and PW) were
applied to minimize the negative effects of this oil, which
is normally disposed off indiscriminately in Nigeria, into
the environment. The choice of these animal wastes was
because they are abundantly available in Nigeria, and a
cheaper remediation option than the expensive chemi-
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cal and physical methods. Observations show that these
organic wastes led to significant (p < 0.05) reduction in
the level of these metals when compared with plots treated
with only oil. However, the effectiveness of these wastes in
ameliorating the negative effect of the oil-induced metals
was PM > PW > CD, indicating that poultry manure
(PM) followed by pig waste (PW) were better for immobilizing these metals within the soil. Sequestration of metals
within the soil matrix normally reduces their release into
the solution phase of soil which could ultimately contaminate or pollute surface and ground waters.
7.2. Degradation of the spent oil as mediated by
the organic wastes
The extent of degradation of total hydrocarbon content
(THC) at the end of two years of spent oil pollution mediated by the organic waste supplements is presented in
Table 2. The THC or whole products analytical method,
instead of analysis of individual hydrocarbon fractions,
was adopted for this study because spent or used lubricating oil is highly variable (Tauscher, 1988), and have altered
structure due to combustion process.
At the end of 2 years of oil pollution, CD + 0.5%SP had
the highest THC reduction of 88.1% (8814 mg/kg), while
PM + 2.5%SP had 83.6% (41,789 mg/kg) reduction for
plots with 50 g/kg total oil loading (Table 2). However,
the influence of these organic wastes in stimulating biodegradation of this waste-lubricating oil in soils that received
100 g/kg total oil loading showed PM + 5%SP having
highest THC reduction of 74,767 mg/kg, representing
74.8% decrease in THC when compared with plots treated
with only 5%SP.
The effectiveness of the organic wastes in stimulating
biodegradation of the oil, as evaluated by the net loss corTable 2
Gravimetric loss of total hydrocarbon content (THC) after 2 years of
spent oil pollution
Treatments
Spent oil
loading
(mg/kg)
Residual
THC
(mg/kg); n = 4
Total %
loss in
THC
Net % loss due
to organic
wastes
0.5%SP
CD + 0.5%SP
PM + 0.5%SP
PW + 0.5%SP
2.5%SP
CD + 2.5%SP
PM + 2.5%SP
PW + 2.5%SP
5%SP
CD + 5%SP
PM + 5%SP
PW + 5%SP
10,000
10,000
10,000
10,000
50,000
50,000
50,000
50,000
100,000
100,000
100,000
100,000
2454
1186
1957
1215
14,550
12,984
8211
8539
29,071
28,405
25,233
25,432
75.5
88.1
80.4
84.9
70.9
74.0
83.6
82.9
70.9
71.6
74.8
74.6
NA
12.6
4.9
9.4
NA
3.1
12.7
12.0
NA
0.7
3.9
3.7
Total % loss = [{Spent oil loading – residual THC (treatment)}/spent oil
loading] · 100.
Net % loss = % loss in THC (treatment) – % loss in spent oil only.
NA = not applicable.
SP = spent oil; CD = cow dung; PM = poultry manure; PW = pig waste.
7
responding to each organic waste, indicated that cow dung
(CD) made the highest reduction (12.6%) in THC for
0.5%SP treatment (Table 2); whereas poultry manure
(PM) was more effective at 2.5% and 5% oil concentrations.
Overall observation indicated that PM was a better nutrient supplement in stimulating microbial degradation of this
spent oil.
8. Discussion
8.1. Heavy metals and hydrocarbon contents relative to
treatment applied
The increase in heavy metal concentrations via spent oil
and organic wastes additions relative to the control was
similar to the observations of Muniz et al. (2004), Adeniyi
and Afolabi (2002), Davies (1997), Adeniyi (1996) and
Markus and McBratney (1996). For example, Adeniyi
and Afolabi (2002) reported elevated total petroleum
hydrocarbons (TPH) and heavy metals contamination
around locations of refined petroleum products handling
facilities in Lagos metropolis (Nigeria). Findings reported
in this study and by these workers confirmed observation
of Albers (1995) who reported that heavy metals were
found associated with petroleum. Also, Whisman et al.
(1974) observed that most heavy metals such as Va, Pb,
Al, Ni and Fe that were below detection in unused lubricating oil gave high concentrations in used oil.
The observed decrease in metal concentrations with
additions of organic wastes could be attributed to the ability of these amendments to immobilized contaminants in
soil. For example, Arias et al. (2002) found humic acid, a
component of soil organic matter, to enhance the metal
adsorption capacity of mineral surfaces, and in particular
kaolin. Also, Ye et al. (1999) observed that lime and pig
manure resulted in reduction of electrical conductivity,
DTPA-extractable concentrations of Zn, Pb and Cd in
Pb/Zn mine tailings. It should be noted that the observed
increase in metal levels in oil polluted soil supplemented
with organic wastes, relative to plots amended with only
organic wastes, could be attributed to increase mineralization of spent oil with addition of these organic wastes,
thereby leading to release of basic components of the oil.
Since heavy metals were observed to be associated with
petroleum products, biodegradation of the spent oil mediated by addition of CD, PM and PW, even though led to
decrease in the total hydrocarbon content, impacted negatively on the environment with the observed elevated
release of metals.
Since oil degradation is a natural process limited by temperature, pH and scarcity of nutrients such as N and P
(Ladousse and Tramier, 1991; Leahy and Colwell, 1990),
the higher rate of THC reduction observed in this study
with addition of poultry manure (PM) could be due to its
higher N and P contents, required for microbial growth
and activity, shown in Table 1 when compared with cow
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dung (CD) and pig waste (PW). It must be noted that the
observed reduction in spent oil or THC may not only be
due to the biodegradation process induced by nutrient
addition, but other processes such as volatilization, adsorption to organic compounds and other abiotic factors are
equally implicated in the reduction process.
Metal concentrations observed in this study might be
considered low after 2 years, when compared with the tolerable limits of Kabata-Pendias and Pendias (1984). Not
withstanding this, concentrations of metals observed in this
study still posed a potential risk. In fact people are moving
away from using threshold values because of some fundamental problems associated with this approach. Some of
these problems according to DEFRA (2002) are: (i) difficulties in establishing concentrations of contaminants beyond
which risks from exposure to these contaminants would be
‘‘unacceptable’’; (ii) values that are applicable across a
range of soil types and site conditions; (iii) incomplete information on contaminant behaviour, human activity patterns
and contaminant toxicology and (iv) various countries have
set different quantitative criteria that reflects the particular
environmental and legal conditions that exist in those countries, so that simple comparisons of quantitative criteria
used in different countries can be misleading. All these factors make it difficult to derive generally applicable criteria.
Data presented in Table 1 indicated that the waste-lubricating oil contains Pb (240 mg/kg) and Zn (486 mg/kg) at
concentrations that are very toxic when compared with
Cr (6.5 mg/kg) and Ni (3.07 mg/kg). The low concentrations of Pb and Zn thereafter observed following application of this waste (Figs. 1 and 2), relative to Cr, could
also be attributed to preferential uptake of Pb and Zn than
Cr by plants. Alloway (1990) reported Pb and Zn as some
of the metals which are readily absorbed by plants. While it
has generally been assumed that these metals are immobile
in managed agricultural soils (McBride, 1995), some factors that enhance their mobility include the properties of
the metals, soil texture, pH and competing cations in the
soil solution (Udom et al., 2004). Investigations by some
workers on heavy metals in soils tend to show that metals
release to the soil in waste accumulate on or very near to
the surface layers of the soil (McBride, 1995). Dowdy
and Volk (1984), in an extensive review of heavy metal
movement in sewage sludge-treated soils, concluded that
movement most likely occurred where heavy disposal of
sewage sludge was made on sandy, acidic and low organic
matter (OM) soils, receiving high rainfall or irrigation, an
environment almost similar to the alfisol studied. Since
organic carbon (OC) contents of the studied site (8.3 g/kg),
spent oil (30.7 g/kg) and those of the organic supplements
(CD, PM and PW) are high (Table 1), OM was suspected
to be the main factor determining the fate of these metals
in the waste-oil because of metal-organic complexation.
In fact, McBride (1995) reported that metal-organic
complexes have helped to decrease heavy metal mobility
in soils. The reason for the differences in metal adsorption by the organic wastes, which followed the order
PM > PW > CD, is not well understood. Ng et al. (2002)
reported similar observation on the adsorption of geosium
by activated carbon under laboratory conditions using Freundlich isotherm model. They concluded that the differences in geosium adsorption from carbon to carbon was
complex and not well understood, and a number of carbon
physical and chemical properties affect adsorption towards
particular adsorbates. Further more, the slow release of Pb
in the waste-oil into the soil agrees with the observation of
van Erp and van Lune (1991) that Pb is bound as strongly
to OM and would be released slowly over time, whereas Zn
are not bound strongly to OM. Therefore, this slow release
of Pb and Zn in the spent (waste) oil constitutes potential
danger because of high OM content of this waste.
In the light of the above reasons, concentrations of metals observed in this study are high enough to cause public
concerns since most of these metals are not all required
even in small amounts by living organisms (Tchernitchin
et al., 1998; Martinez-Tabche et al., 1997; Freedman, 1996;
Koomen et al., 1990). Therefore, the observed metal contents could constitute potential health and phytotoxic problems. Heavy metals could constitutes potential health
problems because of many diseases such as anemia, nervous
system disorders and depressed immune systems, asthmas,
cancer, foetotoxic, etc. Those of phytotoxic problem could
originate from the fact that some metals, such as Zn and
Pb, are readily absorbed by plant roots and translocated
to shoots. The plants then suffers severe yield reductions
before humans, livestock or wildlife are at any risk from
chronic life-time consumption of the crops (Chaney, 1994).
9. Conclusion
This study was carried out to evaluate the effectiveness
of cow dung, poultry manure and pig waste, which are
abundantly available in Nigeria and cheaper, as remediation alternative to the expensive chemical and physical
methods of oil pollution control. The study confirmed the
association between heavy metals and waste-lubricating
oil (spent oil) from petroleum. The distribution of the metals relative to treatments applied in the 1st and 2nd year of
this study indicated significant (p < 0.05) accumulation of
Cr, Ni, Pb and Zn in soil polluted with spent oil and plots
supplemented with organic wastes. The study further
showed higher concentration of Cr followed by Zn, relative
to other metals, with waste-lubricating (spent oil) pollution; and this followed the order 5%SP > 2.5%SP >
0.5%SP indicating increase in metal levels with increase in
oil dosage. However, addition of organic wastes to the oil
polluted soil significantly (p < 0.05) led to reduction in
the levels of the metals and total hydrocarbon. The
effectiveness of the organic wastes in ameliorating the negative effects of the contaminant was PM > PW > CD
indicating that poultry manure followed by pig wastes
were better nutrients supplement for immobilization of
these metals within the soil and in stimulating microbial
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J.K. Adesodun, J.S.C. Mbagwu / Bioresource Technology xxx (2007) xxx–xxx
degradation of this waste oil. General distribution was
3 months > 6 months > 12 months, showing reduction with
time of sampling. Since Cr was the main problem based on
this study, this contaminant has the potential of being carcinogenic while Cr has been shown to have mutagenic
potential. Therefore, this waste which is usually disposed
off indiscriminately in Nigeria should be a major environmental concern to the regulatory agencies in terms of surface and underground water pollution and food-chain
related problems.
Acknowledgements
The authors wish to acknowledge Prof. D.A. Davidson
and Helen Ewen for the technical support provided J.K.A
(the 1st author) when he was on research stay at the University of Stirling, Stirling, UK; and useful comments by
the reviewers.
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