Groundwater demand in Nigeria’s coastal regions is rising, yet subsurface assessment is complicated by heterogeneous sediments and tidal influences. This study applies an integrated approach combining 2D Electrical Resistivity Tomography (ERT), Vertical Electrical Sounding (VES), Geographic Information Systems (GIS), and remote sensing to delineate aquifer zones and assess groundwater quality in Ikot Abasi, Akwa Ibom State. ERT data were collected along three 200 m profiles using a Wenner-Schlumberger array and inverted with Res2Dinv. Twelve VES points provided complementary hydrogeological parameters including transmissivity and hydraulic conductivity. GIS and remote sensing datasets (SRTM DEM, Sentinel-2 imagery, drainage networks, and land cover maps) were used to georeference profiles, analyze terrain influence, and correlate resistivity anomalies with geomorphology. Results revealed three main subsurface units: shallow conductive clayey horizons (<50 Ωm), intermediate silty sands (80-800 Ωm), and deeper resistive aquifer zones (>1000 Ωm) with transmissivity up to 65 m2/d. Water quality analyses showed most parameters within WHO standards, although elevated calcium, magnesium, and iron suggest geogenic enrichment from ferruginous sands. The study demonstrates that integrating ERT with GIS and remote sensing improves interpretation of aquifer distribution and groundwater quality in complex deltaic settings. This multidisciplinary workflow provides a more reliable basis for groundwater development and sustainable resource management in Nigeria’s coastal sedimentary terrains.
| Published in | Earth Sciences (Volume 14, Issue 5) |
| DOI | 10.11648/j.earth.20251405.13 |
| Page(s) | 196-205 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
2D Electrical Resistivity Tomography (ERT), Coastal Sedimentary Terrain, GIS, Python Geophysics Remote Sensing, Subsurface Characterization
VES Poitns | Apparent Resistivity (Ωm) | Depth (m) | Thickness (m) | Longitudinal Conductance (Ω-1) | Transverse Resistance (Ω·m2) | Hydraulic Conductivity (m/d) | Transmissivity (m2/d) |
|---|---|---|---|---|---|---|---|
VES 1 | 0.497 | 39.500 | 25.400 | 51.107 | 12.624 | 0.691 | 17.545 |
VES 2 | 12.000 | 50.100 | 43.300 | 3.608 | 519.600 | 0.681 | 29.466 |
VES 3 | 1.930 | 109.000 | 95.200 | 49.326 | 183.736 | 0.689 | 65.637 |
VES 4 | 1.480 | 89.600 | 72.200 | 48.784 | 106.856 | 0.690 | 49.809 |
VES 5 | 1.030 | 63.800 | 58.400 | 56.699 | 60.152 | 0.690 | 40.312 |
VES 6 | 3.310 | 49.100 | 24.700 | 7.462 | 81.757 | 0.688 | 16.999 |
VES 7 | 0.263 | 78.400 | 71.100 | 270.342 | 18.699 | 0.691 | 49.128 |
VES 8 | 0.752 | 47.200 | 40.400 | 53.723 | 30.381 | 0.691 | 27.897 |
VES 9 | 2.000 | 58.900 | 47.000 | 23.500 | 94.000 | 0.689 | 32.402 |
VES 10 | 2.940 | 90.800 | 79.700 | 27.109 | 234.318 | 0.689 | 54.878 |
VES 11 | 1.480 | 105.000 | 98.500 | 66.554 | 145.780 | 0.690 | 67.952 |
VES 12 | 1.330 | 113.000 | 96.900 | 72.857 | 128.877 | 0.690 | 66.862 |
S/N | Parameters | A | B | C | D | E | WHO (2017) |
|---|---|---|---|---|---|---|---|
1 | pH | 6.16 | 6.81 | 6.37 | 7.10 | 6.82 | 6.50 - 8.50 |
2 | Electrical conductivity (μs/cm) | 257.00 | 34.70 | 45.70 | 109.00 | 89.50 | 500.00 |
3 | TDS (mg/L) | 168.00 | 18.80 | 23.20 | 77.60 | 46.60 | 500.00 |
4 | Alkalinity (mg/L) | 45.00 | 30.00 | 35.00 | 35.00 | 20.00 | 200.00 |
5 | DO (mg/L) | 3.20 | 3.00 | 3.10 | 3.20 | 3.00 | - |
6 | BOD (mg/L) | 2.64 | 2.82 | 2.42 | 2.18 | 2.62 | 2.00 |
7 | COD (mg/L) | 5.48 | 5.64 | 4.84 | 4.36 | 5.24 | 10.00 |
8 | SO_4^(2-)(mg/L) | 2.13 | 1.24 | 1.42 | 2.02 | 2.12 | 250.00 |
9 | Cl^- (mg/L) | 46.15 | 17.75 | 17.76 | 39.05 | 28.40 | 250.00 |
10 | HCO_3^-(mg/L) | 54.90 | 36.60 | 42.70 | 42.70 | 24.40 | 200.00 |
11 | Na^+(mg/L) | 29.90 | 11.50 | 11.50 | 25.30 | 18.42 | 200.00 |
12 | K^+(mg/L) | 8.218 | 6.32 | 6.32 | 11.35 | 8.15 | 200.00 |
13 | Ca^(2+)(mg/L) | 140.00 | 180.00 | 44.00 | 92.00 | 100.00 | 7.50 |
14 | Mg^(2+)(mg/L) | 85.05 | 65.61 | 26.73 | 55.89 | 60.75 | 50.00 |
15 | Mn^(2+)(mg/L) | 0.32 | 0.25 | 0.42 | 0.632 | 0.38 | 0.50 |
16 | Fe^(2+)(mg/L) | 0.35 | 0.32 | 0.33 | 0.324 | 0.38 | 0.30 |
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APA Style
Aka, M. U., Agbasi, O. E., Ibuot, J. C. (2025). Groundwater Prospecting in Coastal Sedimentary Terrain Using 2D ERT and GIS: A Case Study of Ikot Abasi, Nigeria. Earth Sciences, 14(5), 196-205. https://doi.org/10.11648/j.earth.20251405.13
ACS Style
Aka, M. U.; Agbasi, O. E.; Ibuot, J. C. Groundwater Prospecting in Coastal Sedimentary Terrain Using 2D ERT and GIS: A Case Study of Ikot Abasi, Nigeria. Earth Sci. 2025, 14(5), 196-205. doi: 10.11648/j.earth.20251405.13
@article{10.11648/j.earth.20251405.13,
author = {Mfoniso Udofia Aka and Okechukwu Ebuka Agbasi and Johnson Cletus Ibuot},
title = {Groundwater Prospecting in Coastal Sedimentary Terrain Using 2D ERT and GIS: A Case Study of Ikot Abasi, Nigeria
},
journal = {Earth Sciences},
volume = {14},
number = {5},
pages = {196-205},
doi = {10.11648/j.earth.20251405.13},
url = {https://doi.org/10.11648/j.earth.20251405.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20251405.13},
abstract = {Groundwater demand in Nigeria’s coastal regions is rising, yet subsurface assessment is complicated by heterogeneous sediments and tidal influences. This study applies an integrated approach combining 2D Electrical Resistivity Tomography (ERT), Vertical Electrical Sounding (VES), Geographic Information Systems (GIS), and remote sensing to delineate aquifer zones and assess groundwater quality in Ikot Abasi, Akwa Ibom State. ERT data were collected along three 200 m profiles using a Wenner-Schlumberger array and inverted with Res2Dinv. Twelve VES points provided complementary hydrogeological parameters including transmissivity and hydraulic conductivity. GIS and remote sensing datasets (SRTM DEM, Sentinel-2 imagery, drainage networks, and land cover maps) were used to georeference profiles, analyze terrain influence, and correlate resistivity anomalies with geomorphology. Results revealed three main subsurface units: shallow conductive clayey horizons (1000 Ωm) with transmissivity up to 65 m2/d. Water quality analyses showed most parameters within WHO standards, although elevated calcium, magnesium, and iron suggest geogenic enrichment from ferruginous sands. The study demonstrates that integrating ERT with GIS and remote sensing improves interpretation of aquifer distribution and groundwater quality in complex deltaic settings. This multidisciplinary workflow provides a more reliable basis for groundwater development and sustainable resource management in Nigeria’s coastal sedimentary terrains.
},
year = {2025}
}
TY - JOUR T1 - Groundwater Prospecting in Coastal Sedimentary Terrain Using 2D ERT and GIS: A Case Study of Ikot Abasi, Nigeria AU - Mfoniso Udofia Aka AU - Okechukwu Ebuka Agbasi AU - Johnson Cletus Ibuot Y1 - 2025/10/27 PY - 2025 N1 - https://doi.org/10.11648/j.earth.20251405.13 DO - 10.11648/j.earth.20251405.13 T2 - Earth Sciences JF - Earth Sciences JO - Earth Sciences SP - 196 EP - 205 PB - Science Publishing Group SN - 2328-5982 UR - https://doi.org/10.11648/j.earth.20251405.13 AB - Groundwater demand in Nigeria’s coastal regions is rising, yet subsurface assessment is complicated by heterogeneous sediments and tidal influences. This study applies an integrated approach combining 2D Electrical Resistivity Tomography (ERT), Vertical Electrical Sounding (VES), Geographic Information Systems (GIS), and remote sensing to delineate aquifer zones and assess groundwater quality in Ikot Abasi, Akwa Ibom State. ERT data were collected along three 200 m profiles using a Wenner-Schlumberger array and inverted with Res2Dinv. Twelve VES points provided complementary hydrogeological parameters including transmissivity and hydraulic conductivity. GIS and remote sensing datasets (SRTM DEM, Sentinel-2 imagery, drainage networks, and land cover maps) were used to georeference profiles, analyze terrain influence, and correlate resistivity anomalies with geomorphology. Results revealed three main subsurface units: shallow conductive clayey horizons (1000 Ωm) with transmissivity up to 65 m2/d. Water quality analyses showed most parameters within WHO standards, although elevated calcium, magnesium, and iron suggest geogenic enrichment from ferruginous sands. The study demonstrates that integrating ERT with GIS and remote sensing improves interpretation of aquifer distribution and groundwater quality in complex deltaic settings. This multidisciplinary workflow provides a more reliable basis for groundwater development and sustainable resource management in Nigeria’s coastal sedimentary terrains. VL - 14 IS - 5 ER -