Estimation of Heavy Metals Content at Traffic Inter-Change Ita-Marun Epe Lagos State Nigeria

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Estimation of Heavy Metals Content at Traffic Inter-Change Ita-Marun Epe Lagos State Nigeria

  • Adebanjo Sunday Adekunle
  • Akinwunmi Akindare Maxwell
  • Omobowale Adebola Abdulganiyu
  • Alebiosu Samuel Olubunmi
  • 64-73
  • Nov 29, 2023
  • Engineering

Estimation of Heavy Metals Content at Traffic Inter-Change Ita-Marun Epe Lagos State Nigeria

Adebanjo Sunday Adekunle1,2*, Akinwunmi Akindare Maxwell1, Omobowale Adebola AbdulGaniu1, Alebiosu Samuel Olubunmi3

1Department of Chemical Engineering, lagos state University, Epe campus

2Environmental Engineering reasearch laboratory, Lagos State University, Epe Campus

3Deparment of Polymer and Textile Technology, College of Technology, YABATECH

*Corresponding Author

DOI: https://doi.org/10.51244/IJRSI.2023.1011006

Received: 04 October 2023; Revised: 19 October 2023; Accepted: 25 October 2023; Published: 29 November 2023

ABSTRACT

This study assesses the vehicular and traffic emission at Ita-marun Epe Lagos State. Road traffic area contains contaminants which affects human, animals and plants. Hence, the need to investigate the concentrations of these contaminants within the selected area.

Three deposition gauges of 0.15 by 0.20 mm were planted at selected sampling site for 30 days between December 2021 and January 2022. The Lagos State University Epe campus was used as the control experiment for this research work. Deposition flux for each site was determined. The contaminants levels of the heavy metals in particulate matter were evaluated using the Enrichment Factor (EF) analysis.

Deposition fluxes determined range from 31.8269-39.7836 g/m2/month at the sampling site while it ranges 42.3934-51.0567 g/m2/month at control site. Elemental analyses of all the samples collected were determined using the Energy Dispersive X-ray Fluorescence (EDXRF). EF reveals that 7 elements Ag, Cd, Cr, In, Mn, Sn, and Zn are highly enriched at sampling site while 6 elements S, Cl, Zn, Ge, As and W at the control site respectively.

Results shows that fluxes at the control site were higher than that of the sampling site. EF also reveals that seven elements at the sampling site and six elements at the control site were anthropogenically derived. Due to the findings of this research, a clean-up of this area is highly recommended.

Keywords: Vehicular and Traffic Emission, Deposition Gauges, Deposition Fluxes, Enrichment Factor

INTRODUCTION

Air pollutants emitted by motor vehicles are the largest component of air pollution recorded as a result of human activity, posing a threat to human health and natural resources [1, 2]. Along with the intensive development of urban agglomerations, hence an increase in the number of motor vehicles, the amount of toxic pollution in urban environment increases [3, 4]. Air pollution, the source of which is transportation, is related to the emission of solid particles from combustion engines [5]. [6] predicted that the share of non-fuel particles would continue to increase and by the end of 2020 it will average around 90% of the pollutant emissions from transportation sources such as traffic interchange.

Traffic interchange baseline data is essential for assessing suburbanization and urban sprawl effects in a developing country like Nigeria. One of such baseline data is the quantity of heavy metal contamination and its migration on the roadway. Heavy metals contamination is a subject of continuous interest within the scientific community, due to the toxic effects on the entire biosphere [7]. Anthropogenic activity is one of the most important sources of heavy metal pollution. Vehicular traffic is a human induced activity and a major source of contaminants released into the natural environment [8]. The worldwide high vehicular traffic density has led to accelerated emission rates, causing contamination of roadside soils [9]. The heavy metals can impair important biochemical processes posing a threat to human health, plant growth and animal life [10]-[13].

Investigation of road dust is important for many reasons [14]. Firstly, road dusts are inhaled by those who traverse the streets/highways and those who reside in the vicinity of major roads. In road dust pollution events, metals are released into the environment. Consequently, the public is exposed to the health hazards associated with such metals [15]. Secondly, during the periods of rainfall and strong winds, dust particles are deposited into the adjoining marine environment leading to sedimentation and metal contamination, thereby posing negative ecological impacts on aquatic organisms. Consumption of metal-contaminated seafood can adversely affect the human health [16]. Intake of dust particles laden with high concentrations of heavy metals may cause respiratory and cardiovascular diseases, cancer, birth defects, central nervous system impairment and death [17].

Study area

The study was conducted in Ita-Marun, Epe LGA, Lagos state as shown in Fig. 1. It is considered as one of the important national transport hubs. The high fluidity of traffic at the selected site has a significant impact on emissions— the emission of substances when starting and braking is higher than during smooth driving. Epe is located on coordinate 6o 35’N 3o 59’E in the northern side of Lekki Lagoon [18]. It has a surface area of more than 243km2 and is sandwiched between two other lagoons, the Lekki lagoon (freshwater) in the east and Lagos lagoon (brackish water) in the west. The lagoon is connected to the sea through the Lagos Harbor [19]. Epe is best known for its construction of the motorized, shallow-draft barges that navigate the costal lagoons. By the 2006 Census the population of Epe was 181,409. It is a Yoruba town located next to the Lagos lagoon with 294 rural and 24 semi-urban communities. There are some industries that greatly pollute the environment through gaseous emission. Epe Area is polluted by both vehicular and mini-industrial activities which might contain heavy metals that can affect humans upon inhalation. Hence, the need for this study.

MATERIALS AND METHODS

Measurement of Deposited Particulate Matter

Three deposition gauges (0.2m diameter by 0.15m depth) were deployed permanently to each sampling spot in the selected area within Ita-marun for a period of one month [20]. Deposition gauge in which particles settled when left in a particular spot for a long time. The more time it is left at the sampling spot, the more the particulates that is likely to settle therein.

Fig. 1 Geographical map of Ita-marun interchanges Epe, Lagos State.

The sampling period covered dry seasons that are typical of Lagos State climates. The dry season was between October 2021 and February 2022.

The gauges were rinsed with distill water and sediment in the deposition gauges were collected and filtered through dry pre-weighed Whatman (125mm diameter, Cat No 1001 – 125) filter paper on digital weighing balance (model PA2102). The filter papers were desiccated in a desiccator to prevent further settlement of particles until it was completely dried. The filter paper and the particles were reweighed to determine the mass of the particles collected. The deposition flux was determined using equation 3.1 according to [20]

                                                                                                3.1

Where:

ΔWp = Change in weight of particulate matter (g), A = Area of the deposition gauge (m2) and t = Duration of exposure (month)

A flux is the rate of flow of particle or substances across a membrane or boundary. The samples collected after pre analysis was performed were taken to central research laboratory, Tanke Ilorin for characterization. The elemental analysis of all the samples collected were carried out using the Energy Dispersive X-ray Fluorescence (EDXRF) spectrometry. The EDXRF spectrometer (ECLIPSE Ш, AMTEK INC. MA; USA) is a self-contained miniature X-ray tube system. The detection system for all the measurements is a Model XR-100CR, which is a high-performance X-ray Detector with preamplifier and a cooler system, which uses a thermoelectrically cooled Si-PIN photodiode as an X-ray detector. The power to the XR-100CR is provided by a PX2CR power supply. The detector is coupled to the pocket MCA 8000A Multichannel Analyzer. The resolution of the detector for the 5.9 keV peak of 55Fe is 220 eV FWHM with 12μs shaping time constant for the standard setting and 186 eV FWHM with 20μs time constant for the optional setting. The optional setting was used for our measurements with the resolution of 186 eV for the 5.9 peak of 55Fe. The quantitative analysis of samples was carried out using the XRF-FP Quantitative Analysis Software package. This converts elemental peak intensities to elemental concentrations and or film thickness.

Determination of Enrichment Factor (EF)

The contaminants level of the heavy metals in particulate matter study was evaluated using the enrichment factor (EF) analysis. The enrichment factor (EFx) for an element x is defined as:

                                                          3.3

Where:

 Cx and Cref are the concentrations of the element x and the reference element, while (Cx/Cref)aerosol and (Cx/Cref)crust are the proportions of the element concentrations in the particulate matter and in the Earth’s crust’ respectively. An element will be chosen as indicator based on the type of industries located in these areas for enrichment factor to be used. Therefore, Fe was chosen because it is the conventional element for the main source of the Earth’s crust [21-23]. Crustal element data were taken from [24].

RESULTS AND DISCUSSION OF RESULT

Determination of Fluxes of Ita-Marun

Fluxes were determined from the collected samples as shown in Table 1 and Table 2 for the control experiment. Spot 3 has the highest flux of 39.784 g/m2/month, Spot 1 and Spot 2 has 31.827 g/m2/month respectively. The total flux for Ita-marun as calculated from was 103.437 g/m2/month. This confirmed that particles are dispersed around as well settled at the sampling site. The results shows that anthropogenic activities around the spot 3 is on the high side. Also, the result from the control experiment carried out in LASU Epe campus shows that spot 1 which located around the cadet angle recorded 51.06 gm2/month while the spot 2 located at the old security post near the new Campus gate recorded 42.40 g/m2/month respectively [19,25].

Characterization of Collected Samples

Samples collected were processed in the analytical laboratory in the Department of Chemical Engineering Lagos State University Epe Campus and taken to Central Research Laboratory, Tanke Ilorin for characterization using the XRF.  Twelve elements as shown in Table 3 were detected which are as follows Ag, Cd, Cr, Fe, Ln, Mn, Pd, Rh, Ru, Sn, Ti, and Zn.

Table 1: Dry Deposition Flux of Ita-marun Epe

SITE W1 (g) W2 (g) ∆W (g) A (sq m) T(month) AT(sq m.month) ∆W (mg) F(g/sq m/month)
S1 0 1 1 0.03142 1 0.03142 1000 31.8269
S2 0 1 1 0.03142 1 0.03142 1000 31.8269
S3 0 1.25 1.25 0.03142 1 0.03142 1250 39.7836
103.4374

Table 2: Dry Deposition Flux Control Experiment LASU Epe Campus

SITE W1 (g) W2 (g) ∆W (g) A (sq m) T(month) AT(sq m.month) ∆W (mg) F(g/sq m/month)
S1 1.6001 3.2043 1.6042 0.03142 1 0.03142 1604.2 51.0567
S2 1.6201 2.9521 1.332 0.03142 1 0.03142 1332 42.3934
93.4501

Table 3: Characterized Dry Samples for Ita-marun Epe

Elements Molecular Sample 1 Sample 2 Sample 3 Sample 1 Sample 2 Sample 3 Mean STD
Mass (ppm) (ppm) (ppm) (µg/m3)106 (µg/m3)106 (µg/m3)106 (µg/m3)106
Ag 107.8 94940 125050 53200 417.736 234.080 325.908 91.828
Cd 112.4 15820 30660 72.578 140.661 0.000 106.619 67.541
Cr 51.98 27860 0.000 59.109 0.000 59.109 48.262
Fe 56 97040 171210 0.000 454.702 802.241 628.471 389.602
In 114.8 148930 43470 95570 334.333 97.586 214.545 215.488 96.654
Mn 55 497150 0.000 2163.110 0.000 2163.110 1766.172
Pd 106.6 86490 17740 376.320 77.187 0.000 226.753 179.032
Rh 102.5 208470 54160 872.170 226.588 0.000 549.379 412.394
Ru 101.07 33710 52430 139.064 216.290 0.000 177.677 107.317
Sn 118.7 134030 54450 107410 649.362 263.805 520.390 477.852 160.251
Ti 47.8 31780 282380 0.000 62.003 550.929 306.466 266.737
Zn 65 11910 0.000 0.000 31.598 31.598 25.800

It was discovered that Rh has the highest concentration of 208470 ppm in sample 1, Mn has the highest concentration of 497150 ppm sample 2 while Ti has the highest concentration of 282380 ppm in sample 3. The daily average was determined and the concentrations of Rh (872.170 (µg/m3)106) was the highest in sample 1, Mn (2163.110 (µg/m3)106) while Fe (802.241 (µg/m3)106). Characterization of samples of the control experiment (Table 4) also shows same number of elements and Fe still have the highest concentrations as well [26].

The mean and standard deviation were determined and plotted as shown in Fig. 2 and Fig. 3. Although, the fluxes were higher when calculated at the control site, the characterized concentrations at the sampling site were higher than that of the control site. This shows that the traffic inflow and out flow of the sampling site were higher coupled with the anthropogenic activities at the sampling site.

Enrichment Factor

Enrichment Factor (EF) values helps in determining whether a certain element has additional or anthropogenic sources other than its major crustal sources. Sources of metal in particulate include both natural and anthropogenic processes [27]. Iron (Fe) has the highest concentrations (Table 5 and Table 6) and was used as a reference element for the EF evaluation with respect to crustal abundance, with an assumption that the contribution of its anthropogenic source to the atmosphere is negligible [28]-[30]. According to standard, when EF < 10 is taken as an indication of crustal-derived trace metals source in the atmosphere and these are termed the non enriched elements (NEEs). In contract, an EF value of > 10 is considered to indicate non-crustal source or anthropogenically-derived trace metal source, and these are referred to as anomalously enriched elements (AEEs). [31, 32].

EF reveals from Table 5 that only two elements have EF < 10. Hence, the sampling site was greatly influenced by the human activities (anthropogenic) which has led to the increase in concentration of the of the other elements detected while EF from Table 6 shows that only 6 out of the 21 elements detected was highly enriched.

Table 4: Characterized Dry Samples for Control Experiments

Elements Molecular Sample 1 Sample 2 Sample 1 Sample 2 Mean STD
Mass (ppm) (ppm) (µg/m3)106 (µg/m3)106 (µg/m3)106
Si 28 170583 194.9520 97.4760 97.4760
S 32 6576 35203 8.5891 45.9794 27.2842 18.6952
Cl 35.5 50121 38828 72.6243 56.2610 64.4426 8.1817
K 39 55597 82365 88.5013 131.1116 109.8065 21.3051
Ca 40 178691 300184 291.7404 490.0963 390.9184 99.1780
Ti 47.9 35155 37203 68.7316 72.7357 70.7336 2.0020
V 51 2026 2277 4.2174 4.7399 4.4786 0.2612
Cr 52 1424 1208 3.0224 2.5639 2.7931 0.2292
Mn 55 7663 12832 17.2027 28.8065 23.0046 5.8019
Fe 56 274380 304590 627.1543 696.2057 661.6800 34.5257
Ni 59 2415 1036 5.8157 2.4949 4.1553 1.6604
Cu 64 3656 1484 9.5504 3.8766 6.7135 2.8369
Zn 65 352315 5697 934.7133 15.1145 474.9139 459.7994
Ge 73 460 1.3706 1.3706 0.0000
As 74.9 526 1.6081 1.6081 0.0000
Zr 88 206 0.7399 0.7399 0.0000
Sr 91 728 943 2.7040 3.5026 3.1033 0.3993
Pb 207 1737 214 14.6759 1.8081 8.2420 6.4339
W 183.6 12409 92.9915 92.9915 0.0000
Po 208.9 834 1435 7.1111 12.2356 9.6733 2.5622
Ac 227 4272 2725 39.5814 25.2480 32.4147 7.1667

 

Fig.2: Mean and standard deviation of the characterized elements at Ita-marun

 

Fig.3: Mean and standard deviation of the characterized elements at LASU control Experiment

Table 5: Enrichment Factor for the Collected samples at Ita-marun

Elements Mean ERS Mean Molecular Mean ERC EF
(µg/m3)106 ppm Mass (µg/m3)106
Ag 325.908 0.519 0.07 107.8 0.000 0.000 216665.171
Cd 106.619 0.170 0.2 112.4 0.001 0.000 23793.094
Cr 59.109 0.094 100 51.98 0.212 0.002 57.046
Fe 628.471 1.000 56300 56 128.686 1.000 1.000
In 215.488 0.343 0.1 114.8 0.000 0.000 94165.451
Mn 2163.110 3.442 950 54.9 2.129 0.017 208.062
Pd 226.753 0.361 106.4 0.000 0.000
Rh 549.379 0.874 102.5 0.000 0.000
Ru 177.677 0.283 101.07 0.000 0.000
Sn 477.852 0.760 2 118.7 0.010 0.000 10097.732
Ti 306.466 0.488 5700 47.8 11.121 0.086 5.643
Zn 31.598 0.050 70 65 0.186 0.001 34.838

Table 6: Enrichment Factor for the control Experiment LASU Epe Campus 

Elements Mean ERSC Mean cru Molecular Mean ERC EF
(µg/m3)106 ppm Mass (µg/m3)106
Si 97.476 0.147 281500 28 321.714 2.500 0.059
S 27.284 0.041 260 32 0.340 0.003 15.626
Cl 64.443 0.097 130 35.5 0.188 0.001 66.535
K 109.806 0.166 20900 39 33.269 0.259 0.642
Ca 390.918 0.591 41500 40 67.755 0.527 1.122
Ti 70.734 0.107 5700 47.9 11.144 0.087 1.234
V 4.479 0.007 135 51 0.281 0.002 3.099
Cr 2.793 0.004 100 52 0.212 0.002 2.559
Mn 23.005 0.035 950 55 2.133 0.017 2.098
Fe 661.680 1.000 56300 56 128.686 1.000 1.000
Ni 4.155 0.006 75 59 0.181 0.001 4.474
Cu 6.713 0.010 55 64 0.144 0.001 9.088
Zn 474.914 0.718 70 65 0.186 0.001 497.339
Ge 1.371 0.002 1.5 73 0.004 0.000 59.642
As 1.608 0.002 1.8 74.9 0.006 0.000 56.832
Zr 0.740 0.001 165 88 0.593 0.005 0.243
Sr 3.103 0.005 375 91 1.393 0.011 0.433
Pb 8.242 0.012 125000 207 1056.122 8.207 0.002
W 92.992 0.141 1.5 183.6 0.011 0.000 1608.899
Po 9.673 0.015 208.9 0.000 0.000 0.000
Ac 32.415 0.049 227 0.000 0.000 0.000

CONCLUSIONS

The data obtained from the characterized samples gives evidence that heavy metals conclusion are being released by vehicular traffic and anthropogenic activities going onin the selected sampling site. It also show that the air qualty in the sampling site could be affected by the vehicular emission. The mean concentration value of the heavy metals obtained exceeded the WHO and USEPA standard. Enrichment factor show that seven (7) elements in the sampling site (Ita-marun) are non crutal derived (anthropogenic) since they are greater than 10 which was the treshold limit while six (6) elements reflect this at the control experiment site. Others are within the acceptable limits that is they are crustal derived elements. Therefore, a clean-up of the samopling is highly reccommended.

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