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Advances in Environmental Biology, 8(10) June 2014, Pages: 68-86
AENSI Journals
Advances in Environmental Biology ISSN:1995-0756 EISSN: 1998-1066
Journal home page: http://www.aensiweb.com/aeb.html
Corresponding Author: Akintola A. I, Department of Earth Sciences, Olabisi Onabanjo University, Nigeria.
Tel:+2348033511485. E-mail: [email protected] / [email protected]
Geology And Geochemical Analysis Of Stream Sediments And Soil Samples Of
Ijero Ekiti And Its Environs Southwestern Nigeria. 1Akintola A.I,
2Bankole S.I,
1Ikhane P.R And
1Salami O.O
1Department Of Earth Sciences, Olabisi Onabanjo University, Nigeria. 2Geosciences Department University Of Lagos, Akoka Lagos, Nigeria. A R T I C L E I N F O A B S T R A C T
Article history:
Received 25 April 2014 Received in revised form 20 May
2014
Accepted 25 May 2014 Available online 22 June 2014
Key words:
Spectrometry, Mineralogy, Biotite,
Opaque, geochemical
The geology and geochemical analysis of stream sediments was carried out around
Ekiti, Southwestern Nigeria with a view to identify the rock units within the study area, their mineralogical appraisal and to determine the concentration, distribution of major
and trace elements in stream sediments and soil samples of the area under investigation.
The geology of the area mapped consist of three rock types namely banded gneiss, granite gneiss with pegmatite intruding into the older lithologies of rock deposits
within the study area. Ten (10) rock samples were selected for thin section, which was
then subjected to petro graphic studies. The thin section studies reveals quartz, plagioclase, microcline, biotite, and opaque minerals as the main mineral assemblages.
Seven stream sediments, three soil samples were also collected for determination of all
possible elements using ICP- MS (Inductively coupled plasma mass Spectrometry) analytical method. The result of the geochemical analysis shows that the major oxides
includes Fe₂O₃, P₂O₅, MgO , Ti₂O, Al₂O₃ , Na₂O, and K₂O. Iron oxide [ Fe₂O₃] ranges from (1.62-8.61%) with a mean value of 5.1390%, Al₂O₃ ranges from(0.83-5.4%) with a mean value of (3.2318%) and MgO ranges from (0.13-0.51%) with a
mean value (0.3022%). Trace elements analyzed for include [Mo], [Cu], [Pb] , [Zn],
[Ni], [Co], [Mn], [As], [Sr], [V], [Cr], [Rb], [Zr], [Y] and [Be]. Manganese [Mn] range from (311.00ppm - 3269ppm) with a mean value (1063.2000ppm), [Cr] range from
(20.30ppm -76.70ppm) with mean value of (47.7000ppm) while Rubidium [Rb] also
range from (13.20ppm - 86.60ppm) with a mean value of (40.8800ppm). This could be attributed to its underlying geology and rock types. The stream sediment samples taken
at location 2 have the highest level of cumulative metal enrichment (0.83%) while the
stream sediment samples taken at location1 has the least value of (0.19%). It can
therefore be inferred that from various geochemical parameters used, there are
indications that the stream sediments in the study area has low contamination factor
(Cf<1). Indicating low contamination with respect to [Mo], [Cu], [Pb] , [Zn], [Ni], [Co], [Mn], [As], [Sr], [V], [Cr], [Rb], [Zr], [Y] and [Be]. The degree of contamination
is calculated to be 3.50˚. Manganese [Mn] contributed most to the overall degree of
contamination index with a value of 51.4˚.
© 2014 AENSI Publisher All rights reserved.
To Cite This Article: Akintola A.I, Bankole S.I, Ikhane P.R And Salami O.O., Geology And Geochemical Analysis Of Stream Sediments
And Soil Samples Of Ijero Ekiti And Its Environs Southwestern Nigeria. Adv. Environ. Biol., 8(10), 68-86, 2014
INTRODUCTION
Within the last quarter of the last century, there were much interest on environmental pollution and in
particular about geochemical distribution and fate of heavy metals in both water and sediment phases of urban
drainage system. Though significant advances had been made in the developed regions of the world, there are
still increasing concerns about the impacts of urbanization, agricultural, mining and industrial activities on
drainage networks in the developing regions of the world, especially in areas with inadequate land use planning
and proper waste disposal and management systems [1,3,5]. In such developing countries, contaminations of
surface drainage system are mostly related to the consequences of population growth, urbanization, agricultural
activities and development of new industrial zones [11], while uncontrolled direct dumping of domestic waste
and discharge of domestic and industrial sewage water into the urban drainage systems are critical components
of trace and heavy metal contamination [13,12,2,4] especially in areas with lack of strict land-use plan and
environmental protection regulations. Though sediments are said to represent the ultimate sinks for heavy metals
in the environment [8], changing physico-chemical and environ-mental conditions may lead to remobilization
and release of sediment-bound metal pollutants into the water column and consequently into the trophic levels
of the food chain within an aquatic environment with serious health and environmental consequences. The
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environment impact of mining includes erosion, formation of sinkholes, loss of biodiversity, and contamination
of soil, groundwater and surface water by chemicals from mining processes. In some cases, additional forest
logging is done in the vicinity of mines to increase the available room for the storage debris and soil. Chemicals
like mercury, cyanide, sulphuric acid, arsenic and methyl mercury are used in various stages of mining. Most of
the chemicals are released into nearby water bodies, and are responsible for water pollution. In spite of tailings
(pipes) being used to dispose these chemicals into the water bodies , possibilities of leakage are always there.
When the leaked chemicals slowly percolate through the layers of the Earth, they reach the groundwater and
pollute it. Surface run-off of soil and rock debris, although non-toxic, can be harmful for vegetation of the
surrounding areas. Sometimes the liquid waste that is generated after the metals or minerals have been extracted
is disposed in a mining pit. As the pit gets filled up by mine tailings, they become a stagnant pool of water.
Based on the above background, geochemical assessment of major and trace element profiles of urban drainage
network involving water and bottom sediment samples within Ijero metropolis, SW-Nigeria, are presented and
evaluated in this study with respect to impacts of urban activities on the overall quality of drainage systems
within the metropolis.
This research work is to investigate Mineralogical appraisal of the various rock types through petro
graphical analysis and to study the geochemical assessment of major and trace element profiles of the soil and
stream sediments of the study are with a view to elucidate any form or extent of pollution within the Ijero study
area, Southwestern Nigeria. The overall evaluation is expected to give an insight into vulnerability of urban
drainage networks in a typical developing region in response to poor sanitation and waste disposal facilities and
other anthropogenic activities within the populated urban catchment of a developing country. The study area
include Ikoro and Ijero and it is situated in the North Western part of Ekiti . The two towns lie approximately
between latitude 7048’N to7˚51’N and Longitude 5˚2’E to 5˚5’E. The study area is easily accessible by by
complex road networks of major and minor roads as well as footpath linking one sampling point to the other,
neighboring towns include Idao - Ekiti , Aiyegunle. (Figure. 1). The climate is sub-humid tropical with average
annual rainfall 1348.4mm. The area is well drained the common rivers in the study area include Agbangudu,
Odooye and Awo rivers the drainage pattern is dendritic and the tributary streams take their courses from the
surrounding hills
Fig. 1a: Location and accessibility map of the study area
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MATERIALS AND METHODS
Systematic geological mapping and stream sediment sampling of first order streams in other to represent
weathered rocks in the drainage system was carried out ( Figure. 1b), followed by thin section Petrographic
studies of fresh whole rock samples was carried out. Ten stream sediments samples were then analyzed for
major and trace elements using inductively-coupled plasma atomic emission spectrophotometry (ICP-AES), at
ACME Laboratory Vancouver Canada. The geochemical analytical procedure involves addition of 5ml of
Perchloric acid (HClO4), Trioxonitrate (V) HN03 and 15ml Hydrofluoric acid (Hf) to 0.5gm of
sample. The solution was stirred properly and allowed to evaporate to dryness after it was warmed at a low
temperature for some hours. 4ml hydrochloric acid (HCl) was then added to the cooled solution and warmed to
dissolve the salts. The solution was cooled; and then diluted to 50ml with distilled water. The solution is then
introduced into the ICP torch as aqueous - aerosol. The emitted light by the ions in the ICP was converted to an
electrical signal by a photo multiplier in the spectrometer, the intensity of the electrical signal produced by
emitted light from the ions were compared to a standard (a previously measured intensity of a known
concentration of the elements) and the concentration then computed.
Fig. 1b: Map showing the sampling point of the study area
Geological setting, field description and Petrography:
Nigeria is underlain by Precambrian basement complex rocks, younger granites of Jurassic age and
Cretaceous to Recent sediments. The basement rocks occupy about half of the land mass of the country, and is a
part of the Pan-African mobile belt lying between the West African and Congo cratons [6]. There are however
contrasting documentation of the evolution of the basement rocks. However loosely, the basement is grouped
into three major groups lithostratigraphically viz: the Migmatite-Gneiss Quartzite Complex: comprising biotite
and biotite hornblende gneisses, quartzites and quartz schist. Schist Belts, comprising paraschists and meta
igneous rocks, which include schists, amphibolites, amphibole schists, talcose rocks, epidote rocks, marble and
calc-silicate rocks. They are mainly N-S to NNE-SSW trending belts of low grade supracrustal (and minor
volcanic) assemblages. Other secondary rocks used in delineating them are carbonates, calc gneiss and banded
iron formation (BIF) and Older granites, which include granite, granodiorite, diorite charnockite, pegmatites and
aplites. The study area is located within Ikoro and Ijero Ekiti, its geology consists of Precambrian rocks that are
typical of Basement Complex of Nigeria and these rocks includes the following three lithologies:[i] Pegmatite
[ii]Banded Gneiss and [iii] Granite Gneiss (Fig 2). The Pegmatite of Ijero area and its environs intrude the
older lithologies of the rocks of the study area particularly the granite gneiss (Figure. 2), and this pegmatite's
trend in the NW-SE direction. They are coarse grained rock with generally milky white color. The main mineral
assemblage under the transmitted light includes microcline, quartz, biotite plagioclase, mica, opaque minerals.
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Plagioclase ranges from (23.8% -45.6%) Microcline often intergrown graphically and are sometimes perthitic
with albite occurring as patchy perthite. It however displays cross hatch twinning. Quartz ranges between
(16.3% - 30.6%) it occurs as cloudy anhedral with wavy extinction and characteristic weak birefringence, while
Biotite occur as fine dark brown platy grains (Figure. 3). The Granite Gneiss of the Ijero study area occupy
about 90% of the study area (Figure. 2) they are metamorphosed igneous rocks that displays compositional
banding where the minerals are arranged into bands of more mafic minerals and more felsic minerals and it
occupies a major portion of the study area under the thin section the recrystallized fine grained quartz covers the
surface of microcline phenocryst as overgrowths this is a common phenomenon in all the granite gneisses. Their
main mineral assemblages include plagioclase, microcline, quartz and biotite (Figure. 4). The Banded gneiss of
the Ijero study area occurs as a massive rock consisting of alternating bands of felsic and mafic minerals
assemblages the dark band includes Biotite and other ferromagnesian mineral while the felsic band comprises of
plagioclase feldspars and quartz, it occupies about 10% of the mapped area ( Figure. 2). The petrographic study
show that the plagioclase, microcline, quartz, biotite and mica are the main mineral constituents. Under the
petro logical microscope, Plagioclase is colorless in plane polarized, but exhibit 1st order grey color under cross
nicols. It can be distinguished from other type of feldspars because of its polysynthetic twinning visible in
crystals. Plagioclase has a moderate relief and more percentage. Microcline often intergrown graphically , they
are sometimes perthitic with albite occurring as patchy perthite. It however displays characteristic cross hatch
twinning. Quartz is colorless in plane polarized light, it lacks visible twinning. Quartz under the cross polar
exhibit wavy extinction which is a phenomenon when the stage is rotated ( Figure. 5).
Fig. 2: Geological map of the study area
Fig. 3: Photomicrograph of Pegmatite in transmitted light showing Microcline (M), Plagioclase (PL) Muscovite
(MU) and Quartz (Q).
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Bar scale = 20mm Mag.X40
Fig. 4: Photomicrograph of granite gneiss in transmitted light showing Microcline (MC), Plagioclase (PL),
Muscovite (Mu) and Quartz (Q).
Bar scale = 20mm Mag.X40
Fig. 5: Photomicrograph of banded gneiss in transmitted light showing Microcline (MC), Plagioclase (PL),
Biotite (B) and Quartz (Q)
RESULT AND DISCUSSION
The analytical results for the Major elements are presented in Tables1 [a-b] below. Table.1a shows the
major oxides composition and Table.1b shows the statistical summary of major oxides composition with respect
to their average shale content respectively. From the analytical data and the various statistical plots, Iron oxide
[Fe2O3] range from (1.62% - 8.61%) with a mean value of 5.1390% (Tables1[a-b]). The geochemical map of
[Fe2O3] shows that it is more concentrated in the NE of the study area (Figure. 6 [i] ). Phosphorus oxide [P2O5]
range from (0.064% - 0.374%). P2O5 in all location are low in the study area with an average mean value of
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(0.1373%) (Tables1[a-b]). It is more concentrated in the western portion of the study area and in other areas of
the map. (Fig 7 [iv]). Magnesium oxide [MgO] range between (0.132% - 0.512%) with a mean value of
0.08933% (Tables1[a-b]).The geochemical map shows more concentration in the NE area and low
concentration in the southern part of the study area (figure. 6 [iii]). [TiO₂] range from (0.058% - 0.222%) with a
mean value of 0.1225% (Tables1[a-b]), it is usually linked to Ti-bearing minerals like illmenite, the
geochemical maps shows more concentration in the NE area and low concentration in the southern part of the
study area (figure. 7[i]). Aluminum oxide [Al2O3] range from (0.832% - 5.538%) with a mean value of 3.2318%
(Tables 1[a-b] ); Its concentration on the geochemical map is in the NE area of the study area (Fig 7[ii]). Sodium
oxide [Na2O] range from (0.0013% - 0.010%)with a mean value of 0.0083%, the geochemical map of [Na2O]
shows that it is more concentrated in the Eastern portion of the study area (Figure. 7[iii]). Pottasium oxide [K2O]
range from (0.096% - 0.409%). K2O in all location are low in the study area with an average mean value of
(0.2301%) (Tables1[a-b]); It is more concentrated in the NE of the study area and in other areas of the map
(Figure. 6[ii]). The Line diagram show the distribution of major oxides composition within the Ijero study area
with [Na2O] having its highest concentration at Location 2 of the study area, [MgO] have its highest
concentration at Location 3 of the study area, [Al2O3] have its highest concentration at Location 9, Potassium
oxide [K2O] have its highest concentration at Location 2, [TiO2] have its highest concentration at Location 9
while [Fe2O3] have its highest concentration at Location 8 respectively ( Figure 8 [a-f]). There is a very strong
correlation between Ti-Fe-Mg, Al-Fe, K-Fe-Mg-Ti-Al with ‘r’ values 0.785, 0.750, 0.862, 0.749, 0.945, 0.780,
0.704 respectively, indicating that they are governed by the same geochemical factors and are from the same
source[Table. 1c and Figure. 8 (h)], in addition, it was also noticed that there is a strong correlation between, Al-
Mg-Ti , Mg-Fe with ‘r’ values of 0.562, 0.637,0.647 respectively, which is indicative of the same origin and are
controlled by the same geochemical factors. The analytical results for the trace element geochemistry of the
study area are presented in the (Table. 2 [ a-b]). Table. 2a, shows the trace elements concentrations in stream
sediments and soils of Ijero study area, Table. 2b, shows the statistical summary of the trace element
concentration in stream sediments and soil of the study area with respect to their average shale content
respectively. from the analytical data and various statistical plots, Molybdenum [Mo] has concentrations that
range from 0.16ppm - 2.10ppm, with an average mean value of 0.76ppm. Cupper [Cu] has concentrations that
range from 22.14ppm - 98.33ppm and has the highest concentration value at Location 10, with an average mean
value of 48.89ppm (Figure. 10a). Lead [Pb] range in concentration from 9.30ppm - 67.33 ppm with an average
value of 26.20ppm, the highest concentration value for lead was found at Location 2 of the study area. Zinc [Zn]
also have values that range from 25.30ppm - 203ppm with an average value of 74.58ppm in the study area.
Nickel [Ni] has concentration value that range from 6.30ppm - 25.00ppm with an average value of 15.75ppm in
addition to this, Cobalt [Co] has values that range from 6.80ppm - 30.20ppm with an average of 17.64ppm.
Manganese [Mn] show a range in concentration from 311.00ppm - 3269.00ppm with an average value of
1063.20ppm, and the highest value of this element was found at the Location 3 of the Ijero study area (Figure
10a). Arsenic [As], Strontium [Sr], Vanadium [ V], Zircon [Zr] and Yttrium [Y] has average mean values of
2.00ppm, 21.95ppm, 66.50ppm, 1.79 ppm and 10.14ppm respectively. Chromium [Cr] also range from
20.30ppm - 76.70ppm, with an average value of 47.70ppm while Rubidium [Rb] range from 13.20ppm -
86.60ppm with an average of 40.88ppm and the highest concentration of this element was found at the
Location 9 of the study area. The 2D and 3D geochemical maps of [Mo], [Cu], [Pb], [Zn], [Ni], [Co],[Mn],
[Ar], [Sr], [V], [Zr], [Y], [Cr] and [Rb] are shown in (Figures. 9[a-e]). A very strong correlation exist between
the following elements Zn-Pb , Co-Ni, Mn-Ni-Co, V-Cu-Ni-Co, Cr-Cu-Ni-Co-V, Rb-Ni-Co-V, Zr-Mo, Be-As
with‘r’ values of 0.967, 0.961, 0.772, 0.704, 0.820, 0.912, 0.867, 0.859, 0.891, 0.827, 0.923, 0.867, 0.927,
0.790, 0.795, 0.874 respectively, indicating that they are governed by the same geochemical factors and are
from the source (Table 3a). Also Pb-Mo, Ni-Cu, Co-Co, Sr-Pb, V-Mn, Cr-Mo-Zr-Mn, Rb-Mn-Cr, Zr-As-V-Cr,
Y-Ni-Co-V-Rb, Be-Ni-V-Rb with ‘r’ values of 0.616, 0.697, 0.634, 0.523, 0.580, 0.611, 0.516, 0.692, 0.626,
0.535, 0.568,0.511, 0.641, 0.577, 0.686, 0.545, 0.588, 0.684, respectively shows strong correlation indicative of
common origin (Figure. 10b). The determination of the environmental implication of trace element distribution
in stream sediment of the Ijero study area was achieved using the following geochemical parameters: (i) Metal
ratio (ii) Geo- accumulation index (iii) Cumulative metal enrichment (iv) Contamination factor and degree of
contamination. [i]: Metal ratio is usually expressed with respect to average shale content to qualify the degree
of pollution ( Forstner and Wittman 1983). The computed values of metal ratio for selected trace elements
within the study area is shown in (Table. 3b), while (figure 10c) shows the bar chart representing metal ratio of
trace element in the study area. It is calculated thus;
Cn/Cb
Where Cn – obtained concentration in (ppm)
Cb – Average shale concentration in (ppm).
The metal ratio of the selected trace element within the study area is as follows: Ni, As, Sr, V, Zr, Y have
values less than1 in all locations, which means that there is depletion of these elements in the study area. Mo,
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Cu, Pb, Zn, Co, Mn, Cr, Rb and Be have values that are greater than 1 which means there is an enrichment of
these elements in the study area.
[ii]: Geo-accumulation Index (Igeo) was originally defined by Muller (1969) for metal concentrations in the
<2μm fraction and developed for the global standard shale values which is expressed as It is expressed as:
(Igeo= log2(Cn/1.5*Bn)
Where Cn= measured concentration of the element
Bn=Geochemical background value
1.5= a constant allowed for natural fluctuation in the contents of a given substance in the environment and
very small anthropogenic influences.
There are six classes of geo-accumulation index these are shown in (Table. 3c) while (Table. 3d) show the
Geo- accumulating index of selected trace element in Stream Sediment and soils of the study area. From the box
plot (figure. 10d), the stream sediments of the study area falls into the class of uncontaminated to moderately
contaminated with respect to Molybdenum, Copper, Lead, Zinc, Nickel, Cobalt, Manganese, Arsenic,
Strontium, Vanadium, Chromium, Rubidium, Zirconium, Yttrium and Beryllium
[iii]. Cumulative metal enrichment is the cumulative representation of elements in stream sediments of the
study area. It was calculated for five (5) elements (Copper, Lead, Zinc, Nickel, Chromium) and for each of the
element, the average shale is brought back to 100 making it a total of 500 for the five (5) elements in each
sample representing the cumulative effect of trace elements introduced into the stream sediments. The computed
result is presented in (Table. 3e) while (figure. 10e) shows the bar chart of the cumulative effect of the five (5)
elements. Location 2 has the highest level of trace elemental input with a value of 0.83, while location 1 has the
least cumulative enrichment with a value of 0.19.
[iv]: Contamination factor and degree of contamination is the assessment of sediment contamination
carried out with a view of using the contamination factor and degree of contamination parameters (Table. 3f).
This enables an assessment of sediment through reference of the concentration of the surface to background
values or average shale content. [9].
The formular is given thus;
Cf’= C0-1/Mn
Where C0-1 is the obtained mean concentration in (ppm) values
Mn is the average shale content of the elements.
The contamination factor is a single element index. The sum of the contamination factors for all elements
examined represents the degree of contamination of the environment and four classes are recognized (Table. 3f).
Contamination degree is the sum total of all contamination factors of all metals examined. It gives the overall
stream sediment contamination. Based on the contamination factor (Cf), the stream sediments and soils of the
Ijero study area (figure. 10f) has low contamination factor (Cf<1) indicating low contamination with respect to :
Mo, Cu, Zn, Ni, Co, As, Sr, V, Cr, Rb, Zr, Y; also moderate contamination factor (1<Cf<6) was noticed
indicating moderate contamination with respect to [Pb] and [Mn]. The degree of contamination for the mean
elemental concentration in the stream sediment is 8.75, which falls in the class 8≤Cdeg<16, (Moderate degree of
contamination) it is observed that (Zn) contributed most to the overall degree of contamination index (figure.10
g) with a value of 53.8, Mn-51.4, Cu-39.9, Co-36.2, Zn-33.7, Rb-33.3, Be-25.9, V-20.9, Cr-19.3, Mo-15.6, Y-
11.5, As-8.2, Ni-7.8, Sr-2.0, Zr -0.37.
Table 1a: Major oxides composition of stream sediments in the study area (%).
Locations Fe₂O₃% P₂O₅% MgO% TiO₂% Al₂O₃% Na₂O% K₂O%
L1 1.62 0.083 0.132 0.058 0.832 0.010 0.096
L2 6.84 0.374 0.429 0.139 4.498 0.017 0.409
L3 6.65 0.186 0.512 0.142 3.912 0.0067 0.349
L4 4.16 0.126 0.215 0.068 1.928 0.0094 0.145
L5 5.25 0.117 0.165 0.108 1.625 0.0067 0.096
L6 2.98 0.064 0.297 0.132 1.436 0.0067 0.193
L7 3.16 0.112 0.281 0.082 2.174 0.0067 0.181
L8 8.61 0.121 0.363 0.222 5.538 0.0013 0.325
L9 6.87 0.089 0.479 0.207 5.216 0.0107 0.374
L10 5.25 0.101 0.149 0.067 5.159 0.0080 0.133
Table 1b: summary of major oxides composition in stream sediments.
Element/Oxides Number Minimum Maximum Mean Std. Deviation Ranges(%)
Fe₂O₃ 10 1.62 8.61 5.1390 2.16448 6.99
P₂O5 10 0.06 0.37 0.1373 0.08933 0.31
MgO 10 0.30 10 0.13 0.13920 0.38
TiO₂ 10 0.06 0.22 0.1225 0.05759 0.16
Al₂O₃ 10 0.83 5.54 3.2318 1.80801 4.71
Na₂O 10 0.008 0.02 0.0083 0.00401 0.02
K₂O 10 0.10 0.41 0.2301 0.12123 0.31
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Table 1c: Correlation matrix for major oxides
Element Fe₂O₃% P₂O5% MgO% TiO₂% Al₂O₃% Na₂O% k₂O%
Fe₂O₃% 1
P₂O5% 0.425 1
MgO% 0.647 0.448 1
TiO₂% 0.786 0.128 0.751 1
Al₂O₃% 0.862 0.320 0.562 0.640 1
Na₂O% -0.108 0.644 0.137 -0.222 -0.006 1
K₂O% 0.749 0.596 0.945 0.782 0.705 0.253 1
Table 2a: Trace elements concentration in stream sediment and soil samples.
Mo Cu Pb Zn Ni Co Mn As Sr V Cr Rb Zr Y Be
PPM PPM PPM PPM PPM PPM PPM PPM PPM PPM PPM PPM PPM PPM PPM
0.16 28.16 9.3 32.2 6.3 6.8 311 0.2 8.9 28 20.3 13.2 0.8 4.57 0.4
0.72 58.77 67.33 203.2 23.1 24.4 1246 1.5 31.8 95 61.1 51.4 1.8 11.91 1.6
1 51.81 29.73 89.3 24.9 24.5 3269 2 26.3 84 69.6 56.1 2.2 10.22 2.1
0.3 29.05 14.09 52 12.1 14.5 517 1 12.2 31 31 32.2 1.1 6.76 2.1
2.01 51.79 58.03 132.6 8.8 10.6 564 0.4 28.7 57 53 14 2.6 9.4 0.5
0.37 58.85 14.25 41.4 11.3 13.3 504 0.3 39.2 44 41 23 1.5 6.63 0.6
0.34 22.14 16.85 41.6 9.4 14.8 763 0.3 22 37 24.4 35.6 1.3 15.16 1.1
1.12 98.33 19.38 72.3 25 25.6 1295 3.6 15.5 121 76.7 55.3 2.3 12.06 3.3
0.83 59.07 19.29 55.9 24.4 30.2 1537 2.3 23.1 104 64.6 86.6 1.6 14.17 3.1
0.75 30.99 13.79 25.3 12.2 11.7 626 8.4 11.8 64 35.3 41.4 2.7 10.49 4.2
Table 2b: Summary of trace elements concentration in stream sediment and soil samples
Elements N Minimum Maximum Mean Std. Deviation Ranges
Mo 10 0.16 2.01 0.7600 0.54328 1.85
Cu 10 22.14 98.33 48.8960 22.65938 76.19
Pb 10 9.30 67.33 26.2040 20.07774 58.03
Zn 10 25.30 203.20 74.5800 55.17978 177.9
Ni 10 6.30 25.00 15.7500 7.61420 18.7
Co 10 6.80 30.20 17.6400 7.83854 23.4
Mn 10 311.00 3269.00 1063.2000 874.61075 2958
As 10 0.20 8.40 2.0000 2.50422 8.2
Sr 10 8.90 39.20 21.9500 9.83410 30.3
V 10 28.00 121.00 66.5000 32.84729 93
Cr 10 20.30 76.70 47.7000 19.95846 56.4
Rb 10 13.20 86.60 40.8800 22.49068 73.4
Zr 10 0.80 2.70 1.7900 0.64369 1.9
Y 10 4.57 15.16 10.1370 3.39454 10.59
Be 10 0.40 4.20 1.9000 1.30809 3.8
Table 3a: Correlation matrix of trace elements in soil samples and stream sediments.
Mo Cu Pb Zn Ni Co Mn As Sr V Cr Rb Zr Y Be
Mo 1
Cu 0.465 1
Pb 0.616 0.255 1
Zn 0.489 0.350 0.967 1
Ni 0.240 0.697 0.255 0.399 1
Co 0.188 0.634 0.219 0.352 0.961 1
Mn 0.249 0.335 0.182 0.258 0.772 0.704 1
As 0.120 0.086 -0.188 -0.217 0.240 0.120 0.090 1
Sr 0.260 0.318 0.523 0.495 0.198 0.244 0.220 -0.392 1
V 0.461 0.820 0.330 0.418 0.912 0.867 0.580 0.374 0.161 1
Cr 0.611 0.859 0.444 0.516 0.891 0.827 0.692 0.164 0.354 0.923 1
Rb 0.071 0.425 0.011 0.111 0.867 0.927 0.626 0.347 0.040 0.790 0.659 1
Zr 0.795 0.419 0.407 0.298 0.325 0.198 0.308 0.626 0.162 0.535 0.568 0.191 1
Y 0.250 0.229 0.219 0.209 0.511 0.641 0.358 0.231 0.156 0.577 0.421 0.686 0.325 1
Be 0.082 0.260 -0.240 -0.196 0.545 0.491 0.287 0.874 -0.409 0.588 0.385 0.684 0.480 0.427 1
Table 3b: Metal Ratio of Trace Element in the Study Area
Sample
Location
Mo
Cu
Pb
Zn
Ni
Co
Mn
As
L1 0.08 0.56 0.46 0.35 0.07 0.34 0.36 0.02
L2 0.36 1.17 3.36 2.25 0.28 1.22 1.46 0.15
L3 0.5 1.03 1.48 0.99 0.31 1.22 3.84 0.2
L4 0.15 0.58 0.70 0.57 0.15 0.72 0.60 0.1
L5 1.005 1.03 2.90 1.47 0.11 0.53 0.66 0.04
L6 0.18 1.17 0.71 0.46 0.14 0.66 0.59 0.03
L7 0.17 0.44 0.84 0.46 0.11 0.74 0.89 0.03
L8 0.56 1.96 0.96 0.80 0.31 1.28 1.52 0.36
L9 0.41 1.18 0.96 0.62 0.30 1.51 1.80 0.23
L10 0.37 0.61 0.68 0.28 0.15 0.58 0.73 0.84
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Table 3b: Continued
Sample Location
Sr
V
Cr
Rb
Zr
Y
Be
L1 0.02 0.21 .0.20 0.26 0.004 0.13 0.13
L2 0.07 0.73 0.61 0.51 0.01 0.34 0.53
L3 0.06 0.64 0.69 0.64 0.02 0.29 0.7
L4 0.03 0.23 0.31 0.28 0.006 0.19 0.7
L5 0.07 0.43 0.57 0.28 0.014 0.26 0.16
L6 0.09 0.33 0.44 0.46 0.008 0.18 0.2
L7 0.05 0.28 0.37 0.71 0.007 0.43 0.36
L8 0.038 0.93 1.21 1.10 0.012 0.34 1.1
L9 0.057 0.8 1.04 1.73 0.008 0.40 1.03
L10 0.02 0.49 0.64 0.82 0.01 0.29 1.4
Table 3c: Geo-accumlation index classes
CLASSES RANGES INDICATION/WATER QUALITTY
0 Igeo<o Practically uncontaminated
1 0<Igeo<1 Uncontaminated to moderately contaminated
2 1<Igeo<2 Moderately contaminated
3 2<Igeo<3 Moderately to heavily contaminated
4 3<Igeo<4 Heavily contaminated
5 4<Igeo<5 Heavily to extremely contaminated
6 5<Igeo< Extremely
Table 3d: Geo-accumulation index of Trace Elements in Stream Sediments and soils of the study area.
Sample
Location
Mo
Cu
Pb
Zn
Ni
Co
Mn
As
L1 0.016 0.11 0.09 0.07 0.015 0.068 0.073 0.004
L2 0.072 0.23 0.67 0.45 0.057 0.24 0.29 0.03
L3 0.100 0.20 0.29 0.19 0.062 0.24 0.76 0.04
L4 0.030 0.11 0.14 0.12 0.030 0.14 0.12 0.02
L5 0.201 0.23 0.58 0.29 0.022 0.10 0.13 0.008
L6 0.037 0.57 0.14 0.09 0.028 0.13 0.11 0.006
L7 0.034 0.67 0.16 0.09 0.023 0.14 0.18 0.006
L8 0.11 0.07 0.19 0.16 0.062 0.25 0.30 0.007
L9 0.083 0.07 0.19 0.12 0.061 0.30 0.36 0.004
L10 0.075 0.05 0.13 0.05 0.030 0.111 0.14 0.16
Table 3d: Continued
Sample Location
Sr
V
Cr
Rb
Zr
Y
Be
L1 0.004 0.04 0.04 0.05 0.0008 0.002 0.026
L2 0.015 0.14 0.12 0.20 0.0020 0.068 0.107
L3 0.013 0.12 0.13 0.22 0.0024 0.058 0.140
L4 0.006 0.04 0.06 0.12 0.0012 0.038 0.140
L5 0.014 0.08 0.10 0.05 0.0028 0.053 0.033
L6 0.019 0.06 0.08 0.09 0.0016 0.038 0.040
L7 0.011 0.05 0.04 0.14 0.0014 0.086 0.073
L8 0.007 0.18 0.15 0.22 0.0025 0.069 0.220
L9 0.011 0.16 0.12 0.34 0.0078 0.081 0.207
L10 0.005 0.09 0.07 0.16 0.0030 0.060 0.280
Table 3e: Cumulative metal enrichment
Location Total Conc.(%) Background value Cumulative metal enrichment
L1 96.26 500 0.19
L2 413.5 500 0.83
L3 265.34 500 0.53
L4 138.24 500 0.28
L5 304.22 500 0.61
L6 166.8 500 0.33
L7 114.39 500 0.22
L8 291.7 500 0.58
L9 223.26 500 0.45
L10 117.58 500 0.24
Table 3f: Descriptive classes of contamination factor (Hakanson, 1980)
Class Indication
Cf<1 Low contamination factor
1<Cf<3 Moderate contamination factor
3<Cf<6 Considerable contamination factor
6<Cf Very high contamination factor
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Table 3g: Degree of contamination of trace elements.
Elements Mean Average Shale
(ppm)
Contamination Factor (cf) Overall degree of (%)
Contamination index
Mo 0.7600 2 0.38 15.63
Cu 48.8960 50 0.97 39.9
Pb 26.2040 20 1.31 53.8
Zn 74.5800 90 0.82 33.7
Ni 15.7500 80 0.19 7.81
Co 17.6400 20 0.88 36.2
Mn 1063.2000 850 1.25 51.4
As 2.000 10 0.2 8.2
Sr 21.9500 400 0.05 2.0
V 66.5000 130 0.51 20.9
Cr 47.7000 100 0.47 19.3
Rb 40.8800 50 0.81 33.3
Zr 1.7900 180 0.009 0.37
TY 10.1370 35 0.28 11.5
Be 1.9000 3 0.63 25.9
Degree of contamination index
8.75
Fig. 6: [i,ii,iii,]: Showing the 2D and 3D geochemical maps for Major elements Oxides of (Fe), (K) and (Mg)
respectively.
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Fig. 7: [i,ii,iii,iv]: Showing the 2D and 3D geochemical maps for Major elements Oxides of (Ti), (Al), (Na)
and (P) respectively.
0
0.005
0.01
0.015
1 3 5 7 9
con
cen
trat
ion
Na %
Na %
0
0.1
0.2
0.3
0.4
1 3 5 7 9
Mg %
Mg %
0
1
2
3
4
1 3 5 7 9
con
cen
trat
ion
Al %
Al %
0
0.1
0.2
0.3
0.4
1 2 3 4 5 6 7 8 9 10
con
cen
trat
ion
K %
K %
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Fig. 8: (a-f) Line diagram showing the distribution of major elements Oxides of [Na],[Mg], [Al], [K], [Ti] and
[Fe] respectively.
Fig. 8(h): Scatter plot for Correlation matrix for major elements.
0
0.05
0.1
0.15
1 3 5 7 9con
cen
trat
ion
Ti %
Ti %0
5
10
1 3 5 7 9con
cen
trat
ion
Fe %
Fe %
0
0.05
0.1
0.15
0 5 10
Ti (
%)
Fe (%)
Ti %
Linear (Ti %) 0
2
4
6
8
0 0.2 0.4
Fe (
)%
K (%)
Fe %
Linear (Fe %)
0
0.1
0.2
0.3
0.4
0 0.1 0.2
K (
%)
Ti (%)
K %
Linear (K %) 0
0.1
0.2
0.3
0.4
0 0.2 0.4
K (
%)
Mg (%)
Mg %
Linear (Mg %)
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Fig. 9a: showing 2D and 3D geochemical maps of [Mo], [Cu] and [Pb] respectively.
Fig. 9b: showing 2D and 3D geochemical maps of [Zn], [Ni] and [Co] respectively.
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Fig. 9c: showing 2D and 3D geochemical maps of [Mn], [As] and [Sr] respectively.
Fig. 9d: showing 2D and 3D geochemical maps of [V], [Zr] and [Y] respectively.
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Fig. 9e: showing 2D and 3D geochemical maps of [Cr] and [Rb] respectively.
Fig. 10a: Line diagram showing the distributins of various trace elements like [Ni], [Co], [Mn], [Cu], [Pb] and
[Zn], [V] and [Cr] respectively within the study area.
0
1000
2000
3000
4000
1 3 5 7 9
con
cen
trat
ion
location
Ni PPM
Co PPM
Mn PPM 0
100
200
300
1 3 5 7 9
con
cen
trat
ion
location
Line diagram
Cu PPM
Pb PPM
Zn PPM
0
50
100
150
1 3 5 7 9
con
cen
trat
ion
locations
Line Diagram
V PPM
Cr PPM
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Fig. 10b: scatter plots for correlation of matrix of trace elements
Fig. 10c: Bar chart showing the metal ratio of trace elements within the study area.
020406080
100120140
0 20 40
V
Co
V PPM
Linear (V PPM) 0
5
10
15
20
25
30
0 100 200
V
Ni
Ni PPM
Linear (Ni PPM)
0
1000
2000
3000
4000
0 20 40
Mn
Ni
Mn PPM
Linear (Mn PPM) 0
0.5
1
1.5
2
2.5
0 2 4
Mo
Zr
Mo PPM
Linear (Mo PPM)
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
Mo Cu Pb Zn Ni Co Mn As Sr V Cr Rb Zr Y Be
L1
L2
L3
L4
L5
L6
L7
L8
L9
L10
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0
0.2
0.4
0.6
0.8
Mo Cu Pb Zn Ni Co Mn As Sr V Cr Rb Zr Y Be
Fig. 10d: Box plot of geo-accumulation index for selected trace elements
Fig. 10e: Bar chart showing the cumulative metal enrichment of trace elements in the study area.
Fig. 10f: Bar chart showing contamination factor of trace elements.
0
0.2
0.4
0.6
0.8
1
L1 L2 L3 L4 L5 L6 L7 L8 L9 L10
Cumulative metal enrichment
Cumulative metal enrichment
0
0.2
0.4
0.6
0.8
1
1.2
1.4
Mo Cu Pb Zn Ni Co Mn As Sr V Cr Rb Zr Y Be
Series1
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Fig. 10g: Pie chart showing the distribution of trace element in Ijero area.
Conclusion:
The geology of the area mapped consist of three rock types namely banded gneiss and granite gneiss with
pegmatite intruding into the older lithologies of rock deposits within the Ijero study area, thin section studies
reveals quartz, plagioclase, microcline, biotite, and opaque minerals as the main mineral constituents. From the
correlation matrix of major elements, a strong correlation exist between Ti-Fe-Mg, Al-Fe, K-Fe-Mg-Ti-Al with
‘r’ values 0.785, 0.750, 0.862, 0.749, 0.945, 0.780, 0.704 respectively which shows a very strong correlation
indicating that they are governed by the same geochemical factors and are from the same source, an appraisal of
the correlation matrix of trace elements shows that a very strong correlation exist between Zn-Pb, Co-Ni, Mn-
Ni-Co, V-Cu-Ni-Co, Cr-Cu-Ni-Co-V, Rb-Ni-Co-V, Zr-Mo, Be-As with ‘r’ values of 0.967, 0.961, 0.772, 0.704,
0.820,0.912, 0.867 ,0.859 ,0.891 ,0.827 ,0.923 , 0.867, 0.927, 0.790, 0.795, 0.874 respectively which indicates
that they are governed by the same geochemical factors and are from the source. Also elements, Pb-Mo, Ni-Cu,
Co-Co, Sr-Pb, V-Mn, Cr-Mo-Zr-Mn, Rb-Mn-Cr, Zr-As-V-Cr, Y-Ni-Co-V-Rb, Be-Ni-V-Rb with ‘r’ values of
0.616, 0.697, 0.634, 0.523, 0.580, 0.611, 0.516, 0.692, 0.626, 0.535, 0.568, 0.511, 0.641, 0.577, 0.686, 0.545,
0.588, 0.684, respectively shows strong correlation indicative of common origin. It could be suggested that the
element distribution patterns and chemical composition of stream sediments and soils of Ijero Ekiti area is
greatly influenced by the local geology of the area. Base on the result obtained from environmental geology, the
sediments has low contamination factor (Cf<1) indicating low contamination with respect to [Mo] , [Cu], [Zn],
[Ni], [Co], [As], [Sr], [V], [Cr], [Rb], [Zr] , [Y ], also moderate contamination factor (1<Cf<6) was noticed
indicating moderate contamination with respect to [Pb] and [Mn]. The degree of contamination for the mean
elemental concentration in the stream sediment is 8.75, which falls in the class 8≤Cdeg<16, (Moderate degree of
contamination) it was observed that (Zn) contributed most to the overall degree of contamination index. The
result has shown a moderate level of pollution and contamination within the study area. It is therefore suggested
that the area should be place under close monitoring and further geochemical research be conducted in the area
to determine future rise in contamination level as a result of un-regulated mining activities going on in this
environment which can pose a threat to the healthy living of the inhabitants of the area.
ACKNOWLEDGEMENTS
The authors acknowledge the assistance of Mr Mafoluku, chief technologist of the Department of Geology
University of Ibadan for his cooperation during the production of the thin section slides for petro graphic
studies, in addition Dr Okunlola Olugbenga of the Department of Geology University of Ibadan is also highly
appreciated for his numerous support
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