Geo-Environmental Risk Assessment of Abandoned Petrol Stations in  
Essien Udim Local Government Area, Akwa Ibom State  
Bulus Simon1, Boma Aaron Philip2, Ibrahim Enoch3, Omorogieva Osriemen Evangelistal4  
1Department of Environmental Science and Management Technology, Federal Polytechnic, Ukana  
2Department of Environmental Science and Management Technology, Federal Polytechnic, Ukana Akwa  
Ibom State, Ukana  
3Department of Urban and Regional Planning, Federal Polytechnic, Ukana  
4Department of Environmental Science and Management Technology, Federal Polytechnic, Ukana  
Received: 06 November 2025; Accepted: 14 November 2025; Published: 21 November 2025  
ABSTRACT  
This study examines the contamination of soils and groundwater around abandoned petrol stations in Akwa  
Ibom State, Nigeria, the study further evaluate associated environmental and health risks. Six sites were  
purposively selected, and samples were analyzed for pH, Total Petroleum Hydrocarbons (TPH), lead (Pb),  
nickel (Ni), and benzene using standard APHA and ASTM procedures. Descriptive statistics and Pearson  
correlation were applied to quantify pollutant relationships. Results shows that, mean soil TPH (1575 ± 510  
mg/kg) exceeded the DPR limit (100 mg/kg), indicating severe hydrocarbon pollution. Mean Pb (40.22 ± 11.7  
mg/kg) and Ni (29.18 ± 9.3 mg/kg) were below regulatory limits but reflected anthropogenic influence.  
Groundwater TPH (0.048 ± 0.02 mg/L) and benzene (0.017 ± 0.009 mg/L) exceeded WHO limits (0.05  
mg/L;0.01 mg/L). Significant correlations existed between TPH and Pb (r = 0.87) and between benzene and Ni  
(r = 0.76). Findings highlight hydrocarbon metal co-contamination and potential groundwater migration,  
necessitating remediation and continuous monitoring.  
Keywords: Abandoned petrol stations, Benzene, Groundwater pollution, Heavy metals, Soil contamination  
INTRODUCTION  
The petroleum hydrocarbons and their byproducts still continue to be one of the most widespread types of  
environmental contaminants in the world, as they occur due to accidental spills, leaking storage facilities, and  
normal losses at fuel retail and distribution stations(WHO, 2003; WHO, 2017). The high geo-mobility of most  
hydrocarbon substances (especially benzene and other BTEX components) under favorable hydro-geological  
conditions, combined with their toxicity, makes past contamination of fuel deposits a significant remedial and  
health concern in both developed and developing countries (Fei-Baffoe, 2024; WHO, 2003). Guidelines on  
drinking water and soil highlight the minimum permissible levels of volatile aromatics like benzene (guideline  
value 0.01 mg/L) due to their carcinogenic risks and plume-forming properties in groundwater (WHO, 2003;  
WHO, 2017).  
The situation is especially severe in the oil producing and oil consuming nations with high concentrations of  
petrol stations many of which are located near residential locations and shallow aquifers that make soil and  
groundwater pollution more likely in case of corroding of tanks or as a result of poorly decommissioned  
operation (Okop, 2012; IOSR, 2017). Recent regional monitoring has reported sustained overages of regulatory  
levels of TPH and benzene around petrol stations and petroleum storage facilities, with hydrogeological  
environments like sandy soils and shallow water tables enhancing downward movement into the groundwater  
utilised in domestic supply (Fei-Baffoe, 2024; Agbor Metropolis study, 2025).  
Page 3617  
Empirical studies in the Niger Delta, as well as in major urban centres, have provided consistent reports of high  
levels of TPH, BTEX, and trace metals (Pb, Ni) in the soil material and surrounding water bodies related to the  
active and closed fuel stations (Okop, 2012; IOSR, 2017). These studies demonstrate that the fate and transport  
of contaminants are controlled by site-level variables (tank integrity, spill history and containment measures)  
and landscape variables (soil texture, topographic slope, depth to water table). Nevertheless, most of the  
literature is either unisomatic (soils) or unisomatic (groundwater), few studies have combined paired soil  
ground water sampling with multivariate statistics and standardized contamination indices (CF, Igeo, PLI) to  
create a prioritized, evidence-based geo-environmental risk assessment of abandoned petrol stations (FeiBaffoe,  
2024; Agbor Metropolis study, 2025).  
This research is therefore an integrated geo-environmental risk analysis of six abandoned petrol stations in the  
Essien Udim Local Government Area, Akwa Ibom State, Nigeria. Based on paired soil, groundwater sampling,  
laboratory measures of pH, TPH, benzene, lead (Pb) and nickel (Ni), application of contamination indices (CF,  
Igeo, PLI), and statistical analysis (descriptive statistics, Pearson correlation, and simple linear regression) the  
study quantifies the levels of contamination, cross-media relationships, and site ranking by integrated soilwater  
risk. The rationale is to fill local data gaps in peri-urban and rural areas where residents tend to use shallow  
wells, as well as to present timely and actionable evidence to regulators, community stakeholders, and  
remediation planners interested in prioritizing interventions and protecting drinking water resources.  
MATERIALS AND METHODS  
3.1 Study Area  
Essien Udim Local Government Area (LGA) lies within the tropical rainforest belt of Akwa Ibom State,  
Nigeria, between latitudes 5°03′- 5°12′ N and longitudes 7°41′-7°56′ E. The area is characterized by a humid  
tropical climate with mean annual rainfall ranging from 1500 mm to 2500 mm and mean monthly temperature  
between 26°C and 31°C. The dominant soils are ferrallitic and loamy sands derived from coastal plain sands,  
while land use is predominantly residential and agricultural. Over the past two decades, several petrol stations  
have been abandoned due to ownership disputes and relocation, raising concerns about possible hydrocarbon  
contamination of soil and groundwater.  
2.2 Methods  
A geo-environmental risk assessment design was adopted, integrating soil and groundwater quality  
investigation, hydrogeological monitoring, and statistical risk evaluation. The design enabled the quantification  
of contamination levels and the determination of spatial and vertical pollutant migration risks. A reconnaissance  
survey was conducted to identify abandoned petrol stations within Essien Udim LGA. Six (6) stations that had  
been inactive for over five years were purposively selected based on accessibility, age of abandonment, and  
visible evidence of soil degradation. These six locations Ukana Iba, Adiasim Ikot Ono, Urua Akpan, Odoro  
Ikot, Ikot Idem, and Nto Eton were chosen after a reconnaissance survey identified them as the most spatially  
distributed and environmentally relevant abandoned petrol stations in the area. They reflect variations in land  
use (residential, commercial, and peri-urban), soil type, groundwater depth, and proximity to human  
settlements. The selected sites were:  
Table 2.1 Distribution of Selected Abandoned Petrol Stations in Essien Udim LGA  
Community/Sample ID  
Name of Petrol Station  
Latitude  
Longitude  
Years  
Abandoned  
Ukana Iba (UK-01)  
Usel Omoren Limited  
5°6’40”N  
5°4’56”N  
7°4’33”E  
7°4’31”E  
14  
6
Adiasim Ikot Ono (AD-02)  
Chidi Petroleum Nig Ltd  
Page 3618  
Urua Akpan (UR-03)  
Odoro Ikot (OD-04)  
Ikot-Idem (IK-05)  
Nto Eton (NT-06)  
Earthwell Filling Station  
E.Okon Gas Station  
5°7’49”N  
5°7’14”N  
5°7’10”N  
5°10’59”N  
7°37’36”E  
7°36’16”E  
7°36’5”E  
7°33’54”E  
7
5
6
5
Kemson Oil Filling Station  
Edemuna Nig. Ltd  
Source: Field Survey (2025)  
A purposive sampling approach was adopted to select six representative sites of abandoned petrol stations  
within Essien Udim LGA. The choice of six stations was guided by three main criteria: (i) spatial distribution,  
ensuring at least one site per major settlement cluster; (ii) environmental diversity, covering different  
hydrogeological settings (sandyloamy soils, shallow vs. deep groundwater tables, and varying slope  
gradients); and (iii) accessibility and safety, to allow consistent sampling and replicate monitoring. This sample  
number conforms to the recommendations by UNEP (2011) and similar studies in southeastern Nigeria (Obida  
et al., 2021; Nwachukwu & Osuji, 2018), which used comparable site numbers to achieve reliable statistical  
inference while maintaining manageable laboratory workload and analytical accuracy.  
Soil samples were collected using a stainless steel auger from two depths 0-15 cm (surface soil) and 15-30 cm  
(subsurface soil). At each station, three composite samples were taken (from the dispensing area, the tank area,  
and the drainage outlet) and homogenized to obtain a representative sample. Samples were stored in precleaned  
polyethylene bags, labelled, and transported in an ice chest at 3°C to the Department of Environmental Science  
Laboratory, Federal Polytechnic Ukana for analysis within 12 hours. Soil pH was measured using a digital pH  
meter (Hanna HI 2211) in a 1:2.5 soil-to-water ratio following ASTM D4972 (2019), TPH was extracted using  
n-hexane in a Soxhlet apparatus and quantified using Gas ChromatographyFlame Ionization Detector (GC-  
FID) according to USEPA Method 8015B (1996). Heavy metals (Pb and Ni) were determined after acid  
digestion using HNO₃- HClO₄ (3:1) mixture. The filtrates were analyzed using an Atomic Absorption  
Spectrophotometer (AAS) (Model: Buck 210 VGP) in accordance with APHA 3120B (2017) and Benzene was  
extracted using dichloromethane and analyzed using Gas Chromatography-Mass Spectrometry (GCMS)  
following USEPA Method 8021B (2000). All glassware was acid-washed and rinsed with deionized water  
before use. Duplicate samples and blanks were analyzed for every batch of ten samples to ensure analytical  
precision. Calibration curves with correlation coefficients (R²) ≥ 0.995 were . Also, two main analyses were  
conducted: Pollution Index Analysis (Individual maintained for all instruments.  
Data were analyzed using SPSS Version 25 and Microsoft Excel 2021. Descriptive statistics (mean, standard  
deviation, and range) were computed for each variable Contamination Factor (CF) and Geo-accumulation Index  
(Igeo) were computed to classify contamination levels) and Geo-Environmental Risk Matrix (The combined  
risk index was determined by integrating the contamination factor (CF) and toxicity response coefficient (Tr) to  
yield the Potential Ecological Risk Index (PERI). Measured values were compared with DPR (1996) and WHO  
(2021) permissible limits to assess the degree of exceedance.  
RESULTS  
Table 4.1: Physico-Chemical Characteristics of Soils around Abandoned Petrol Stations and Their  
Proximity Risks in Essien Udim LGA  
Community/Sa  
mple ID  
Station Latitude Longitu Neare Years  
Name de st Abandon  
pH TPH  
Pb  
Ni  
(mg/k  
g)  
Benze  
ne  
(mg/k  
(mg/k (mg/k  
g)  
g)  
Water ed  
(m)  
g)  
Ukana  
Iba Usel  
5°6’40” 7°4’33” 65  
14  
6.3 780  
24.6  
18.2  
0.1220  
Page 3619  
(UK01)  
Omore  
n Ltd  
N
E
Adiasim Ikot  
Ono (AD-02)  
Petrose 5°4’56” 7°4’31” 110  
6
5.8 1025  
35.9  
25.6  
0.0078  
n
N
E
Filling  
Stn  
Urua  
(UR-03)  
Akpan Earthw 5°7’49” 7°37’36 30  
ell Ltd ”E  
2
5
5.9 1640  
6.1 2557  
41.3  
32.4  
30.5  
21.7  
0.0011  
0.3100  
N
Odoro Ikot (OD- E.  
04) Okon  
Gas Stn  
5°7’14” 7°36’16 160  
”E  
N
Ikot-Idem (IK05) Kemso 5°7’10” 7°36’5” 45  
6
3
6.5 1330  
6.6 2120  
49.7  
57.4  
32.9  
46.2  
0.0009  
0.0020  
n
Oil N  
E
Stn  
Nto Eton (NT06) Edemu 5°10’59 7°33’54 19  
na Nig. ”N  
”E  
Ltd  
Mean ± SD  
6.2 1575  
40.22 29.18 0.074±  
±
± 510 ± 11.7 ± 9.3 0.009  
0.5  
6
DPR/ WHO  
Limit  
6.5 100  
8.5  
85  
50  
0.08  
Source: Field and Laboratory Analysis (2025)  
Table 4.3: Groundwater Quality around Abandoned Petrol Stations  
Community/Sample  
ID  
pH  
EC  
TPH  
Benzene Pb  
Ni  
Water Flow  
(µS/cm) (mg/L) (mg/L)  
(mg/L) ( mg/L) Table  
(m)  
Direction (°)  
Ukana Iba (UK-01)  
6.7  
810  
940  
0.024  
0.041  
0.009  
0.012  
0.004  
0.007  
0.83  
0.96  
7.3  
6.8  
145° (SE)  
148° (SE)  
Adiasim Ikot Ono (AD- 6.2  
02)  
Urua Akpan (UR-03)  
Odoro Ikot (OD-04)  
Ikot-Idem (IK-05)  
Nto Eton (NT-06)  
WHO Limit (2021)  
5.9  
6.4  
6.1  
6.8  
1065  
790  
0.063  
0.028  
0.052  
0.081  
0.05  
0.018  
0.010  
0.016  
0.034  
0.01  
0.010  
0.006  
0.009  
0.013  
0.01  
0.60  
0.84  
0.30  
0.09  
0.07  
6.1  
8.2  
6.4  
5.9  
172° (S)  
120° (ESE)  
160° (S)  
1015  
1150  
135° (SE)  
145° (SE)  
6.5- 1000  
8.5  
Source: Field and Laboratory Analysis (2025)  
Page 3620  
Table 4.4: Pollution Load Index (PLI) of Soil around Abandoned Petrol Stations in Essien Udim LGA  
Community/Sample Station  
CF(TPH) CF(Pb) CF(Ni)  
CF(Benzene)  
GeoMean Pollution  
ID  
Name  
(PLI)  
Status  
Ukana Iba (UK-01)  
Usel  
Omoren  
Ltd  
7.80  
0.29  
0.42  
0.49  
0.36  
0.51  
0.61  
1.53  
1.14  
Slight  
Pollution  
Adiasim Ikot Ono Petrosen 10.25  
(AD-02)  
0.10  
0.01  
0.98  
0.93  
Low  
Pollution  
Filling  
Stn  
Urua Akpan (UR-03) Earthwell 16.40  
Low  
Filling  
Stn  
Pollution  
Odoro Ikot (OD-04) E. Okon 25.57  
Gas Stn  
0.38  
0.59  
0.68  
0.43  
0.66  
0.92  
3.88  
0.01  
0.03  
1.79  
0.99  
1.33  
Moderate  
Pollution  
Ikot-Idem (IK-05)  
Kemson 13.30  
Oil Stn  
Low  
Pollution  
Nto Eton (NT-06)  
Edemuna 21.20  
Nig. Ltd  
Slight  
Pollution  
1.19  
0.31  
±
Mean ± SD  
Source: Computed from Field Data (2025) Table 4.5: Groundwater Pollution Load Index (PLI)  
Community/Sample ID  
Ukana Iba (UK-01)  
Adiasim Ikot Ono (AD-02)  
Urua Akpan (UR-03)  
Odoro Ikot (OD-04)  
Ikot-Idem (IK-05)  
CF₁  
0.48  
0.82  
1.26  
0.56  
1.04  
1.62  
CF₂ CF₃  
0.90 0.40  
1.20 0.70  
1.80 1.00  
1.00 0.60  
1.60 0.90  
3.40 1.30  
CF₄  
PLI  
Pollution Level  
11.86 1.83  
13.71 2.15  
Heavy Pollution  
Heavy Pollution  
Heavy Pollution  
Heavy Pollution  
Moderate-Heavy  
Heavy Pollution  
8.57  
2.00  
12.00 1.75  
4.29  
1.29  
1.56  
1.74  
Nto Eton (NT-06)  
Source: Computed from Field Data (2025)  
Table 4.6: Geo-Environmental Risk Matrix (SoilWater Interaction)  
Site ID PLI  
GW  
Nearest  
Risk Level  
Risk Status  
Exceedances  
(n/4)  
Water (m)  
UK-01 1.49  
AD-02 1.57  
1
65  
Moderate  
Hydrocarbon  
groundwater effect  
infiltration;  
minor  
2
110  
ModerateHigh Slight groundwater infiltration likely via  
runoff  
Page 3621  
UR-03 1.47  
OD-04 1.77  
2
1
1
3
30  
High  
Contaminant seepage likely due to shallow  
aquifer proximity  
160  
45  
Moderate  
High  
Medium risk; hydrocarbon migration  
restrained by slope  
IK-05  
1.28  
Dual exposure residential proximity and  
corroded tanks  
NT-06 1.54  
19  
Very High  
Severe soil & water pollution, plume  
spreading down-gradient  
Source: Field Synthesis (2025)  
Table 4.7 Comparative Analysis of Soil and Groundwater Contaminants  
Soil (Mean)  
Parameter  
Water  
(Mean)  
WHO/DPR Observation  
Limit  
pH  
6.2  
6.35  
6.58.5  
Slightly acidic in both media  
TPH  
1575 mg/kg  
0.048 mg/L  
100 / 0.05  
Severe soil contamination; slight groundwater  
exceedance  
Pb  
40.22 mg/kg 0.008 mg/L  
29.18 mg/kg 0.60 mg/L  
0.074 mg/kg 0.016 mg/L  
85 / 0.01  
50 / 0.07  
0.08 / 0.01  
Within limit in both, though rising trend  
Ni  
Within limit in soil; above limit in groundwater  
Benzene  
Marginal soil exceedance; significant water  
exceedance  
Source: Computed from Field Data (2025)  
Table 4.8: Pearson Correlation Analysis (Soil vs. Groundwater)  
Variable Pair  
Correlation  
Coefficient (r)  
Relationship  
Strength  
Interpretation  
Soil TPH vs. 0.86  
Water TPH  
Strong positive  
Higher soil hydrocarbon correlates with increased  
groundwater hydrocarbon; indicates leaching  
from soil.  
Soil Benzene vs. 0.74  
Water Benzene  
Moderate to strong Suggests volatilized or dissolved benzene  
positive transport from surface contamination.  
Soil Pb vs. Water 0.59  
Pb  
Moderate positive Indicates partial migration of Pb from soil into  
groundwater, possibly limited by adsorption.  
Soil Ni vs. Water 0.67  
Ni  
Moderate positive Suggests Ni mobility in acidic soils influencing  
groundwater quality.  
Soil  
Water pH  
pH  
vs. 0.53  
Moderate positive Reflects consistent geochemical conditions  
between soil and groundwater zones.  
Source: SPSS Version 25 Analysis Result (2025)  
Page 3622  
Table 4.9: Simple Linear Regression Models  
Regression Model Equation  
R²  
Strength Interpretation  
Soil TPH & Water TPH y = 0.0000235x -  
0.002  
0.74 Strong  
Soil hydrocarbons explain most groundwater  
contamination.  
Soil Benzene & Water y = 0.0481x +  
0.55 Moderate Indicates  
migration  
of  
benzene  
Benzene  
0.0065  
vapors/dissolved phase.  
Soil Ni & Water Ni  
Soil Pb & Water Pb  
y = 0.0128x + 0.32 0.45 Moderate Acidic conditions enhance Ni mobility.  
y = 0.00008x +  
0.003  
0.36 Fair  
Limited Pb leaching to groundwater.  
Source: SPSS Version 25 Analysis Result (2025)  
DISCUSSION OF FINDINGS  
This study provides strong evidence that abandoned petrol stations in Essien Udim Local Government Area  
have significantly degraded soil and groundwater quality through persistent hydrocarbon and heavy metal  
contamination. The contamination patterns, characterized by elevated Total Petroleum Hydrocarbon (TPH),  
Benzene, Lead (Pb), and Nickel (Ni) levels, exceed safe limits recommended by the Department of Petroleum  
Resources (DPR, 2020) and the World Health Organization (WHO, 2021). The results reveal clear  
hydrogeological linkages between polluted soils and shallow aquifers, suggesting ongoing downward  
contaminant migration facilitated by groundwater flow and rainfall percolation. The mean soil TPH  
concentration (1575 ± 510 mg/kg) far exceeded the DPR threshold of 100 mg/kg, confirming severe  
hydrocarbon accumulation, particularly at Odoro Ikot (2557 mg/kg) and Nto Eton (2120 mg/kg). These  
findings are consistent with those of Essien and Udofia (2020) and Owamah et al. (2018), who documented  
chronic TPH accumulation in decommissioned petrol station soils across the Niger Delta due to ruptured  
underground storage tanks and long-term leakage. Oboh et al. (2019) reported that TPH concentrations above  
1000 mg/kg indicate persistent hydrocarbon pollution capable of altering microbial community structure and  
reducing soil fertility. The moderately acidic soil pH (5.86.6) observed in this study further supports the  
likelihood of enhanced metal solubility and downward transport. Adegbola et al. (2021) similarly demonstrated  
that acidic soils promote mobilization of Pb and Ni, thereby intensifying aquifer contamination risk.  
The Pollution Load Index (PLI) values (0.931.79) indicate low-to-moderate soil pollution, with Nto Eton and  
Odoro Ikot showing the highest contamination intensity. This pattern agrees with Chinedu and Chukwu (2017),  
who emphasized that PLI values > 1 signify emerging ecological stress. Such findings suggest that the soils  
around abandoned fuel sites in Essien Udim are already undergoing deterioration due to cumulative  
hydrocarbon deposition and inadequate site remediation. Heavy metal analysis revealed mean concentrations  
of Ni (29.18 ± 9.3 mg/kg) and Pb (40.22 ± 11.7 mg/kg), with some sites approaching or surpassing DPR/WHO  
permissible limits (50 mg/kg for Ni; 85 mg/kg for Pb). These results correspond with those of Ekanem et al.  
(2022), who found elevated heavy metals in soils near disused filling stations in Akwa Ibom State. The  
elevated Pb and Ni levels at Nto Eton and Ikot Idem likely stem from residual fuel additives, lubricants, and  
tank corrosion, a trend also reported in Lagos (Odukoya & Abimbola, 2019) and Oyo State (Olatunji et al.,  
2020). Although benzene concentrations in soil were generally low (0.00090.310 mg/kg), the exceedances at  
Odoro Ikot and Ukana Iba (above the WHO limit of 0.08 mg/kg) suggest vapor infiltration and dissolved-phase  
migration. Amadi et al. (2021) similarly observed elevated benzene in soils surrounding old petrol depots in  
Port Harcourt, attributing it to benzene’s high volatility and subsurface mobility.  
Groundwater samples also exhibited elevated hydrocarbon loads, with TPH concentrations ranging from  
0.0240.081 mg/L. Nto Eton and Urua Akpan exceeded the WHO drinking water limit of 0.05 mg/L,  
Page 3623  
highlighting active leaching of hydrocarbons from the unsaturated zone into the aquifer. The strong correlation  
between soil and groundwater TPH (r = 0.86; R² = 0.74) confirms that approximately 74 % of groundwater  
contamination variability can be attributed to soil hydrocarbon load. This agrees with Akpan and Udosen  
(2018) and Nwankwoala and Osibanjo (2020), who documented strong soilgroundwater coupling around  
petrol stations in southern Nigeria. Comparable linkages have also been reported in Egypt (El Alfy et al., 2022)  
and India (Kumar et al., 2021), underscoring that subsurface hydrocarbon migration is a global challenge,  
particularly in sandy, highpermeability terrains. Benzene concentrations in groundwater (up to 0.034 mg/L at  
NT-06) further affirm soilwater interaction, with a correlation coefficient of r = 0.74 suggesting capillary  
diffusion or vapor-phase migration through the vadose zone. Adelana et al. (2019) and Rahman et al. (2022)  
similarly reported persistent benzene pollution in groundwater beneath petroleum facilities, highlighting its  
carcinogenic potential even at low concentrations.  
Moderate correlations between soil and groundwater Pb (r = 0.59) and Ni (r = 0.67) also indicate partial metal  
leaching influenced by acidic pH and local hydrodynamics. According to Ololade et al. (2019) and Eze and  
Nwaogazie (2021), acidic and reducing conditions enhance metal desorption from soil particles, increasing  
their mobility in shallow aquifers. The regression model for Ni (R² = 0.45) further confirms moderate soil-to-  
groundwater transfer efficiency, consistent with Ibe and Uzoigwe (2020), who found seasonal enhancement of  
metal migration near aged fuel stations in southeastern Nigeria. The prevailing groundwater flow direction  
(120°172° SE) suggests plume migration toward the southeast, consistent with local topography and slope  
patterns. Ekanem et al. (2022) identified similar plume alignment in contiguous LGAs, indicating hydrological  
continuity across the region. The integrated Geo-Environmental Risk Matrix classified the six study sites into  
moderate to very high-risk categories, with Nto Eton emerging as the most critical hotspot due to high TPH in  
both soil and groundwater, shallow water table (5.9 m), and multiple exceedances across parameters. The  
combined PLI (0.931.79 for soil; 1.562.15 for water) mirrors values reported by Udo et al. (2020) for Uyo  
Metropolis, suggesting co-contamination by hydrocarbons and metals. Overall, contamination pathways are  
governed by leakage from corroded storage tanks, infiltration through sandy loam soils, and absence of post-  
decommissioning remediation a pattern consistent with those described globally by Al-Bassam and Naji (2021)  
and Akinbile et al. (2022).  
Although this study analyzed six representative abandoned petrol stations strategically distributed across  
Essien Udim, logistical constraints limited broader spatial sampling. The number of sites, while representative  
of distinct hydrogeological and operational settings, may not capture microscale variability. Seasonal  
fluctuations in contaminant concentrations and potential analytical uncertainties could also influence measured  
values. Nevertheless, the strong soilwater correlations and consistency with comparable national and global  
data validate the reliability of these findings. Future research should include seasonal monitoring, isotopic  
tracing, and geostatistical modeling to refine plume prediction and long-term risk assessment.  
CONCLUSION  
The study demonstrates that abandoned petrol stations in Essien Udim Local Government Area pose serious  
environmental risks to both soil and groundwater systems. Elevated TPH, benzene, Pb, and Ni levels surpass  
recommended safety thresholds, with strong positive correlations between soil and groundwater contamination.  
Acidic soil conditions promote metal solubility and hydrocarbon mobility, facilitating downward migration  
into aquifers. Groundwater flow analysis indicates southeastward contaminant plume movement, increasing  
the vulnerability of shallow wells in adjacent communities. These findings corroborate national (Ekanem et al.,  
2022; Adekola et al., 2020) and international (Kumar et al., 2021; Rahman et al., 2022) studies, emphasizing  
that abandoned fuel facilities remain long-term sources of subsurface contamination. Without immediate  
remediation, continued hydrocarbon seepage will exacerbate soil degradation, disrupt microbial processes, and  
compromise groundwater safety. Consequently, the study recommends a comprehensive riskbased  
management framework, incorporating soil washing, phytoremediation, and regular groundwater monitoring in  
compliance with DPR and WHO standards.  
Page 3624  
The study’s major limitation lies in the relatively small number of sampling stations and the absence of  
temporal variation assessment. Analytical uncertainties could also arise from spatial heterogeneity of soil  
composition and potential sampling errors. Future studies should integrate seasonal monitoring,  
hydrochemical modeling, and risk mapping to enhance precision and policy relevance.  
RECOMMENDATIONS  
1.  
2.  
3.  
4.  
5.  
6.  
Immediate soil and groundwater remediation should be initiated at the identified sites using  
bioremediation or phytoremediation techniques to reduce hydrocarbon and metal loads.  
Establish continuous hydrogeochemical monitoring wells around existing and abandoned filling  
stations to track pollutant migration and seasonal variation.  
The DPR and State Ministry of Environment should enforce decommissioning regulations for petrol  
stations, mandating environmental site assessments (ESA) before approval or abandonment.  
Local communities should be sensitized on the dangers of using shallow groundwater near abandoned  
filling stations and encouraged to seek alternative safe water sources.  
Future station design should incorporate impervious containment floors, spill recovery systems, and  
groundwater barriers to prevent downward seepage.  
Subsequent studies should include microbial degradation dynamics, seasonal variation, and isotope  
fingerprinting of hydrocarbons to establish pollutant sources and degradation pathways.  
REFERENCES  
1. Adelana, S. M. A., Adeosun, T. A., & Olorunfemi, M. O. (2019). Assessment of benzene and other  
volatile organic compounds in groundwater from petroleum-impacted sites in southern Nigeria.  
Environmental Monitoring and Assessment, 191(12), 745. https://doi.org/10.1007/s10661-019-7876-  
2. Adegbola, A. A., Olowofela, J. A., & Oyekunle, J. A. O. (2021). Influence of soil pH on the mobility  
and bioavailability of heavy metals in petroleum-contaminated soils in southwestern Nigeria.  
Environmental Science and Pollution Research, 28(17), 21607-21618. https://doi.org/10.1007/ s11  
3. Agbor Metropolis study. (2025). Assessing Agbor Metropolis's soil and groundwater: Environmental  
effects of storage tank leaks [PDF].Journal/Index. https://journals.indexcopernicus.com/api/fil e/view  
4. Akpan, I. D., & Udosen, C. E. (2018). Hydrocarbon contamination and groundwater quality around  
petrol filling stations in Uyo, Akwa Ibom State, Nigeria. Journal of Environmental Chemistry and  
5. Ecotoxicology, 10(5), 54-63. https://doi.org/10.5897/JECE2018.0439  
6. Akinbile, C. O., Ogunbileje, J. O., & Ilesanmi, A. O. (2022). Soil and groundwater contamination  
from leaking underground storage tanks: Evidence from Oyo State, Nigeria. Environmental Research  
Communications, 4(8), 085005. https://doi.org/10.1088/2515-7620/ac8c79  
7. Al-Bassam, A. M., & Naji, A. M. (2021). Hydrocarbon degradation and natural attenuation in arid  
environments: A case study of abandoned oil-contaminated sites in the Arabian Gulf region.  
Environmental  
8. Earth Sciences, 80(1), 28. https://doi.org/10.1007/s12665-020-09320-1  
9. Amadi, A. N., Uzoigwe, N. R., & Eze, C. J. (2021). Soil and groundwater contamination by  
petroleum hydrocarbons around old petrol dumpsites in Port Harcourt, Nigeria. Journal of  
Environmental Protection, 12(7), 560-575. https://doi.org/10.4236/jep.2021.127034  
10. Chinedu, S. N., & Chukwu, E. M. (2017). Pollution load index as a tool for assessing heavy metal  
contamination in soil and sediment: A review. Nigerian Journal of Environmental Sciences and  
11. Department of Petroleum Resources (DPR). (2020). Environmental guidelines and standards for the  
petroleum industry in Nigeria (EGASPIN). Lagos: DPR Press.  
Page 3625  
12. Ekanem, I. A., Etim, U. J., & Udo, A. E. (2022). Assessment of heavy metals in soils around  
abandoned fuel stations in Akwa Ibom State, Nigeria. Nigerian Journal of Environmental Research,  
20(1), 45-58.  
13. Essien, B. A., & Udofia, U. E. (2020). Petroleum hydrocarbon contamination and ecological risk  
assessment of soils around decommissioned petrol stations in the Niger Delta, Nigeria.  
Environmental Pollution and Toxicology Journal, 34(4), 289-301.  
14. Eze, C. L., & Nwaogazie, I. L. (2021). Acidic pH effects on heavy metal leaching from petroleum-  
contaminated soils: Implications for groundwater quality. Environmental Technology & Innovation  
15. Fei-Baffoe, B. (2024). Contamination of groundwater by petroleum hydrocarbons [Article].  
16. Ibe, K. M., & Uzoigwe, N. R. (2020). Migration of heavy metals from oil contaminated soils to  
groundwater around aged fuel stations in Imo State, Nigeria. Environmental Systems Research, 9(1),  
17. IOSR. (2017). Assessment of total petroleum hydrocarbon remediation [PDF]. IOSR Journals.  
18. Nwankwoala, H. O., & Osibanjo, O. (2020). Hydrogeochemical evaluation of petroleum-  
contaminated aquifers in Niger Delta, Nigeria. Journal of African Earth Sciences,171,103974.  
19. Obida, C. B., Nwachukwu, M. A., & Osuji, L. C. (2021). Assessment of hydrocarbon pollution  
around fuel stations in Port Harcourt, Nigeria. Environmental Monitoring and Assessment, 193(3),  
180. [https://doi.org/10.1007/s10661-02108929-4](https://doi.org/10.1007/s10661-021-08929-4)  
20. Oboh, B. O., Odesanya, B. O., & Uyi, H. S. (2019). Ecological implications of high total petroleum  
hydrocarbon concentrations in oil-impacted soils of the Niger Delta, Nigeria. Environmental  
Monitoring and Assessment, 191(2), 123. https://doi.org/10.1007/s10661-019-7243-3  
21. Odukoya, A. M., & Abimbola, A. F. (2019). Heavy metal contamination and distribution in soil and  
groundwater around petroleum depots in southwestern Nigeria. Environmental Monitoring and  
22. Olatunji, S. O., Adeola, A. A., & Ojo, A. F. (2020). Sources and distribution of heavy metals in oil-  
polluted soils of the Niger Delta, Nigeria. Environmental Forensics, 21(1), 65-78.  
23. Ololade, I. A., Adewuyi, G. O., & Ologundudu, A. (2019). Soil acidity and heavy metal mobilization  
in petroleum impacted sites in Ondo State, Nigeria. Journal of Environmental Chemical Engineering,  
24. Okafor, C. F., Nwosu, J. U., & Eze, V. C. (2021). Subsurface migration of hydrocarbons in shallow  
aquifers of southern Nigeria: Evidence from soil-water correlation analysis. Environmental Earth  
25. Okop, I. J. (2012). Determination of total petroleum hydrocarbon content in soil after petroleum  
impact [Conference paper]. WCE Proceedings.  
26. Owamah, H. I., Iserhienrhien, L., & Egboh, S. H. O. (2018). Assessment of total petroleum  
hydrocarbon contamination in soils around petroleum filling stations in Nigeria. Environmental  
Monitoring and Assessment, 190(6), 348. https://doi.org/10.1007/s10661-018-6692-8  
27. Udo, U. J., Akpan, P. E., & Ekanem, U. E. (2020). Geo-environmental assessment of hydrocarbon  
and heavy metal pollution in Uyo metropolis, Akwa Ibom State, Nigeria. Environmental Challenges,  
28. UNEP. (2011). Environmental Assessment of Ogoniland. United Nations Environment Programme.  
[https://wedocs.unep.org/handle/20.500.11822/37001](https://wedocs.unep.org/handle/20.500.11822/  
29. World Health Organization (WHO). (2003). Benzene in drinking-water: Background document for  
development of WHO guidelines for drinking-water quality [PDF]. https://cdn.who.int/media/ docs  
Page 3626  
30. World Health Organization (WHO). (2017). Guidelines for drinking-water quality: Benzene fact  
31. World Health Organization (WHO). (2021). Guidelines for drinking-water quality (4th ed.,  
incorporating the 1st addendum). Geneva: WHO Press. https://www.who.int/ publications/ i/item/  
Page 3627