Integrating GIS-Based DRASTICA Model and Aquifer Protective Capacity for Hydrogeospatial Evaluation of Groundwater Vulnerability to Contaminants in Owerri, Southeastern Nigeria.

Authors

Bright O. Nwosu

Department of Geology, University of Port Harcourt (Nigeria)

Godwin J. Udom

Department of Geology, University of Port Harcourt (Nigeria)

Ferdinand D. Giadom

Department of Geology, University of Port Harcourt (Nigeria)

Leonard I. Nwosu

Department of Physics, University of Port Harcourt (Nigeria)

Article Information

DOI: 10.51244/IJRSI.2026.130200150

Subject Category: Geology

Volume/Issue: 13/2 | Page No: 1635-1654

Publication Timeline

Submitted: 2026-02-19

Accepted: 2026-02-24

Published: 2026-03-15

Abstract

Owerri, the capital of Imo State, depends almost exclusively on groundwater abstracted from shallow to intermediate-depth aquifers developed within the Benin Formation, a lithologic unit dominated by unconsolidated sands and sandstone with limited natural protection in most areas. This study integrates a GIS-based DRASTICA model with aquifer protective capacity evaluation derived from VES (longitudinal conductance values) to provide a comprehensive hydrogeospatial assessment of groundwater contamination risk in Owerri and its environs. 70 VES stations were interpreted to characterize subsurface lithology, determine vadose zone media, and aquifer protective potential, while digital elevation models, soil maps and LULC data were synthesized into a spatial database using ArcGIS 10.5 software. DRASTICA vulnerability indices range from 108 to 330 and delineate three dominant vulnerability classes: moderate (87.04%), high (12.42%), and very high (0.54%). Zones of elevated vulnerability are concentrated in densely urbanized areas and along the Imo River/Otamiri River zones, where shallow water tables, sandy vadose zones, minimal slopes collide with intense human activities to promote rapid contaminant infiltration. Longitudinal conductance values range from 0.004 to 31.003 Ω⁻¹, indicating predominantly poor to moderate aquifer protective capacity across greater parts of the Owerri, and consistent with areas of dominated by mostly sandy overburden. Areas of high longitudinal conductance correspond spatially with zones of low DRASTICA vulnerability, while areas of low conductance coincide with moderate to high vulnerability. The findings reveal the sensitivity of Owerri’s aquifer system to contamination from poorly managed waste disposal. The integrated DRASTICA–Aquifer Protective Capacity framework provides a replicable tool for groundwater protection planning, environmental monitoring, and sustainable urban development in rapidly urbanizing sedimentary environments.

Keywords

Groundwater, Anthropogenic activities, DRASTICA Vulnerability Model

Downloads

References

1. Abadi, H.T., Asresie, T., Mihretu, A. and Gabrehewot W. (2025). Assessment of groundwater quality for drinking purposes using water quality index in volcanic rock areas of Axum, Northern Ethiopia. Appl Water Sci 15, 227: 1-16 [Google Scholar] [Crossref]

2. Ahsen, M., Bilal, A., Umer, K., Omid, G., Hassan, A., Rana, F.T., Danish, F. and Thomas, B. (2020). A GIS-based DRASTIC Model and an Adjusted DRASTIC Model (DRASTICA) for Groundwater Susceptibility Assessment along the China-Pakistan Economic Corridor (CPEC) Route. International Journal of Geo-Information, 9(322), 1- 23 [Google Scholar] [Crossref]

3. Aller, L., Bennet T., Lehr, J.H., Petty, R.J., and Hackett, G. (1987). DRASTIC: A standardised system for evaluating groundwater pollution potential using hydrogeologic settings. US Environment Protection Agency Report (EPA/600/2-87/035), Ada, Oklahoma, USA. [Google Scholar] [Crossref]

4. Anumaka, C.C., Anozie, H.C., Ahaneku, C.V., Okpara, A.O., Odinye, A.C., Onuchukwu, E.E. and Oshim, F.O., C.C. et al. (2024). Sedimentological Analysis and Depositional Environmental Interpretation of Benin Formation: A Case Study of Umuaka and its Environs in Njaba Local Government Area, Imo State, Nigeria. International Journal of Research and Innovation in Applied Science (IJRIAS), 7:492-509 [Google Scholar] [Crossref]

5. Boateng T.K, Opoku F, and Akoto O. (2019) Heavy metal contamination assessment of groundwater quality: a case study of Oti landfill site, Kumasi. Appl Water Sci 9(33):1–15 [Google Scholar] [Crossref]

6. Ghosh, A., Pant, D., Kajla, M. Mohokar H., Jarval A. and Keesari T. (2025) Isotope characterisation of groundwater resources in uranium impacted Fazilka, Punjab. J Radioanal Nucl Chem 334, 4243–4250 [Google Scholar] [Crossref]

7. Ibe, F. C., Opara, A. I., Amaobi C.E and Ibe B.O (2021). Environmental risk assessment of the intake of contaminants in aquifers in the vicinity of a reclaimed waste dumpsite in Owerri Municipal, Southeastern Nigeria. Applied Water Science, 11:24. [Google Scholar] [Crossref]

8. Ibe F.C, Isiuku B.O, Enyoh C.E (2017) Trace metals analysis of soil and edible plant leaves from the abandoned municipal waste dumpsite in Owerri, Imo State, Nigeria. World News Nat Sci 13:27–42 [Google Scholar] [Crossref]

9. Iuliana G. B. and Madalina P. (2012). Application of DRASTIC Model and GIS for Evaluation of Aquifer Vulnerability; study case Barlad city Area. Water Resources and Wetlands Journal 5, 555-593 [Google Scholar] [Crossref]

10. IWACA (2006). Imo Water Corporation Agency Documentary on Groundwater Resources Potential of Imo State Nigeria (Unpublished). 20-39 [Google Scholar] [Crossref]

11. Nwachukwu, I. N., Dike, B. U., Nwoke, H. U., and Nwakwasi, L. N. (2023). Exploration of Ground Water Potential of Federal University of Technology, Owerri and Its Environs Using Resistivity Survey. Saudi Journal of Civil Engineering, 7(9):227–240. [Google Scholar] [Crossref]

12. Nwachukwu, M.A., Huan, Feng and Duke Ophori (2010). Groundwater Flow Model and Particle Track Analysis for Selecting Water Quality Monitoring Well Sites and Soil Sample Profile. Journal of Spatial Hydrology 10(1): 1- 14 [Google Scholar] [Crossref]

13. Nwachukwu, M. A., Huan, F. and Alinnor, J. (2011). Trace Metal Dispersion in Soil from Auto-Mechanic Village to Urban Residential Areas in Owerri, Nigeria. Journal of Procedia Environmental Science 4(3): 310-322. [Google Scholar] [Crossref]

14. Nwosu, B.O. and Nwosu, L.I. (2019). Assessment of Groundwater Vulnerability to Contaminants in Parts of Owerri West Area of Imo State Nigeria. IJRIAS 4(12): 82-94 [Google Scholar] [Crossref]

15. Nwosu, L.I. and Nwosu, B.O. (2016). Assessment of the Quality of Water Resources by Intergrating Physico-Chemical Analysis Result with Geoelectric survey Information in Owerri, Nigeria. Indian Journal of Applied Research 6(7): 113- 117 [Google Scholar] [Crossref]

16. Nwozor, R.N., Bassey, N.E., George, N.J. and Harry, T.A. (2025). Spatiotemporal and Hydrogeological Assessment of Groundwater Flow and Vulnerability in Parts of the Benin Formation, Akwa Ibom State, Southeastern Nigeria. Researchers Journal of Science and Technology, 5(2):1–15 [Google Scholar] [Crossref]

17. Obasi I.A, Nnachi E.E, Igwe O.E, Obasi N.P (2015) Evaluation of pollution status of heavy metals in the groundwater system around open dumpsites in Abakaliki urban, Southeastern Nigeria. Afr J Environ Sci Technol 9(7):600–609 [Google Scholar] [Crossref]

18. Obeta MC (2017). Patterns and problems of domestic water supply to rural communities in Enugu State, Nigeria. J Agric Ext Rural Dev 9(8):172–184 [Google Scholar] [Crossref]

19. Okere K.J, Abu G.O, Ndukwu B. (2018). Estimation and characterization of municipal solid waste in Nekede landfill, Owerri metropolis, Nigeria. Int J Eng Appl Sci 5(3):93–100 [Google Scholar] [Crossref]

20. Okoro, B. C., Uzoukwu, R.K. and Ademe, C.K. (2016). Quality Assessment of Groundwater Sources of Potable Water in Owerri, Imo State Nigeria. Open Access Library Journal, 3; e2445 [Google Scholar] [Crossref]

21. Oladapo, M.I. and Akintorinwa, O.J. (2007) Hydrogeophysical Study of Ogbese, Southwestern, Nigeria. Global Journal of Pure and Applied Sciences, 13, 55-61. [Google Scholar] [Crossref]

22. Putranto, T. T., Winarno, T., and Susanta, A. P. A. (2020). Risk assessment of groundwater abstraction vulnerability using spatial analysis: case study at Salatiga groundwater basin, Indonesia. Indonesian Journal on Geoscience, 7(2), 215 224 [Google Scholar] [Crossref]

23. Rahman, A. (2008). A GIS-based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Aligarh, India. Applied Geography, 28, 32–53. [Google Scholar] [Crossref]

24. Seraiche L., Dougha, M., Ghodbane, M., Selmane, T., Ferhati, A., Djemiat, D.E (2025). Groundwater vulnerability assessment in semi-arid regions using GIS-based DRASTIC models and FUZZY AHP: South Chott Hodna, Desalination and Water Treatment, 323(7): 1-17 [Google Scholar] [Crossref]

25. Simi, M.R., Bindhu, B.K., Varghese A. and Rani, M.R. (2022) Optimization of DRASTICA Vulnerability Assessment Model by Wilcoxon Rank Sum Non-Parametrical Statistical Test. Materials today: proceeding 58(1), 121-127 [Google Scholar] [Crossref]

26. Uzoije, P.A., Nwigwe, C and Nwosu, B. O. (2019). Vulnerability Assessment of a Sand-rich Alluvium: A DRASTIC Model Approach. IJSER 10(12), 1398- 1429 [Google Scholar] [Crossref]

27. Tsnat Tsegay, Behailu Birhanu, Tilahun Azagegn, Biniyam Tesfaw Hailu and Tenalem Ayenew (2024). Assessing Groundwater Vulnerability to Pollution in a Rapidly Urbanizing River Basin Using a Modified DRASTIC Land Use–Lineament Density Method. Geological journal 59(12), 3278-3295. [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles