Improving Flood Hazards Assessment with Geospatial and Geophysical Integration: A Case Study of Lokoja, Nigeria

Improving Flood Hazards Assessment with Geospatial and Geophysical Integration: A Case Study of Lokoja, Nigeria

Authors

  • Kehinde Mogaji FUTA,Nigeria
  • Akinola Komolafe FUTA

DOI:

https://doi.org/10.51459/jostir.2026.2.1.0210

Abstract

Flooding is a persistent problem in Lokoja, located at the confluence of the Niger and Benue rivers. This study integrated geospatial and geophysical data to map flood susceptibility in the Sub-Niger River Basin. Using remote sensing, GIS, and aeromagnetic data, seven factors—elevation, slope, drainage density, distance from rivers, lineament density, land use/land cover, and precipitation—were analyzed with the Analytical Hierarchy Process. Results show 36.85% of the basin is highly flood-prone, especially around Ganaja and Gadumo. Model validation (AUC = 0.81) confirms strong accuracy. The map supports floodplain zoning, land-use planning, and improved flood risk management in Lokoja.

Author Biography

Akinola Komolafe, FUTA

Department of Applied Geophysics, Federal University of Technology, Akure, Nigeria

References

Adelekan, I. O. (2016). Flood risk management in the coastal city of Lagos, Nigeria. Journal of Flood Risk Management, 9(3), 255–264. https://doi.org/10.1111/jfr3.12179

ACSS, (2024). Record Levels of Flooding in Africa Compounds Stress on Fragile Countries, the

Africa Center for Strategic Studies, https://africacenter.org/spotlight/record-levels-of- flooding-in-africa-compounds-stress-on-fragile-countries/

Aderogba, K. A. (2012). Qualitative Studies of Recent Floods and Sustainable Growth and Development of Cities and Towns in Nigeria. 1(3).

Adeyemi, A. B., & Komolafe, A. A. (2025). Flood hazard zones prediction using machine-learning-based geospatial approach in lower Niger River basin, Nigeria. Natural Hazards Research, S2666592125000022. https://doi.org/10.1016/j.nhres.2025.01.002

Akinlalu, A. A., Mogaji, K. A., & Adebodun, T. S. (2021). Assessment of aquifer vulnerability using a developed “GODL” method (modified GOD model) in a schist belt environ, Southwestern Nigeria. Environmental Monitoring and Assessment, 193(4), 199. https://doi.org/10.1007/s10661-021-08960-z

Amigun, J. O., Sanusi, S. O., & Audu, L. (2022). Geophysical characterisation of rare earth element and gemstone mineralisation in the Ijero-Aramoko pegmatite field, southwestern Nigeria. Journal of African Earth Sciences, 188, 104494. https://doi.org/10.1016/j.jafrearsci.2022.104494

Ariyani, D., Mohammad Yanuar Jarwadi Purwanto, Euis Sunarti, & Perdinan. (2022). Contributing Factor Influencing Flood Disaster Using MICMAC (Ciliwung Watershed Case Study). Jurnal Pengelolaan Sumberdaya Alam Dan Lingkungan (Journal of Natural Resources and Environmental Management), 12(2), 268–280. https://doi.org/10.29244/jpsl.12.2.268-280

Ayeni, A. O., Aborisade, A. G., Aiyegbajeje, F. O., & Soneye, A. S. O. (2025). The dynamics of peri-urban expansion in sub-saharan africa: Implications for sustainable development in Nigeria and Ghana. Discover Sustainability, 6(1), 290. https://doi.org/10.1007/s43621-024-00742-0

Azevedo, B. F., Rocha, A. M. A. C., & Pereira, A. I. (2024). Hybrid approaches to optimization and machine learning methods: A systematic literature review. Machine Learning, 113(7), 4055–4097. https://doi.org/10.1007/s10994-023-06467-x

Babalola, T. E., Gbenro Oguntunde, P., Ebenezer Ajayi, A., & Omowonuola Akinluyi, F. (2021). Future Climate Change Impacts on River Discharge Seasonality for Selected West African River Basins. In M. Saifullah (Ed.), Weather Forecasting. IntechOpen. https://doi.org/10.5772/intechopen.99426

Brody, S., Blessing, R., Sebastian, A., & Bedient, P. (2014). Examining the impact of land use/land cover characteristics on flood losses. Journal of Environmental Planning and Management, 57(8), 1252–1265. https://doi.org/10.1080/09640568.2013.802228

Elkhrachy, I. (2015). Flash Flood Hazard Mapping Using Satellite Images and GIS Tools: A case study of Najran City, Kingdom of Saudi Arabia (KSA). The Egyptian Journal of Remote Sensing and Space Science, 18(2), 261–278. https://doi.org/10.1016/j.ejrs.2015.06.007

Eze, B. E., & Efiong, J. (2010). Morphometric Parameters of the Calabar River Basin: Implication for Hydrologic Processes. 2(1). https://www.researchgate.net/profile/Joel-Efiong/publication/46105920_Morphometric_Parameters_of_the_Calabar_River_Basin_Implication_for_Hydrologic_Processes/links/02e7e5307b0777262b000000/Morphometric-Parameters-of-the-Calabar-River-Basin-Implication-for-Hydrologic-Processes.pdf?origin=journalDetail&_tp=eyJwYWdlIjoiam91cm5hbERldGFpbCJ9

Fitri, M. (2019). THE SETTLEMENT MORPHOLOGY ALONG MUSI RIVER: THE INFLUENCE OF RIVER CHARACTERISTICS. DIMENSI (Journal of Architecture and Built Environment), 45(2), 133–140. https://doi.org/10.9744/dimensi.45.2.133-140

Ganguli, S. S., Pal, S. K., Rama Rao, J. V., & Sunder Raj, B. (2020). Gravity–magnetic appraisal at the interface of Cuddapah Basin and Nellore Schist Belt (NSB) for shallow crustal architecture and tectonic settings. Journal of Earth System Science, 129(1), 92. https://doi.org/10.1007/s12040-020-1354-8

Ganguli, S. S., Pal, S. K., Sundaralingam, K., & Kumar, P. (2021). Insights into the crustal architecture from the analysis of gravity and magnetic data across Salem-Attur Shear Zone (SASZ), Southern Granulite Terrane (SGT), India: An evidence of accretional tectonics. Episodes, 44(4), 419–442. https://doi.org/10.18814/epiiugs/2020/020095

Ganguli, S. S., Singh, S., Das, N., Maurya, D., Pal, S. K., & Rao, J. V. R. (2019). Gravity and Magnetic Survey in Southwestern Part of Cuddapah Basin, India and its Implication for Shallow Crustal Architecture and Mineralization. Journal of the Geological Society of India, 93(4), 419–430. https://doi.org/10.1007/s12594-019-1196-7

Gupta, N., Dahal, S., Kumar, A., Kumar, C., Kumar, M., Maharjan, A., Mishra, D., Mohanty, A., Navaraj, A., Pandey, S., Prakash, A., Prasad, E., Shrestha, K., Shrestha, M. S., Subedi, R., Subedi, T., Tiwary, R., Tuladhar, R., & Unni, A. (2021). Rich water, poor people: Potential for transboundary flood management between Nepal and India. Current Research in Environmental Sustainability, 3, 100031. https://doi.org/10.1016/j.crsust.2021.100031

Ishaya, S., Hassan, S., & James, S. (2014). Post-Adaptation vulnerability of cereals to rainfall and temperature variability in the federal capital territory of Nigeria. Ethiopian Journal of Environmental Studies and Management, 7(5), 532. https://doi.org/10.4314/ejesm.v7i5.7

Ishola, S. O., Ogunsina, B. I., Alao, B. I., & Adara, C. T. (2021). Effects of Climate Smart Farming Practices (CSFP) on Food Security Status among Rural Farming Households in Ogun State, Nigeria. 9(2).

Komolafe, A. A., Adegboyega, S. A.-A., & Akinluyi, F. O. (2015). A Review of Flood Risk Analysis in Nigeria. American Journal of Environmental Sciences, 11(3), 157–166. https://doi.org/10.3844/ajessp.2015.157.166

Komolafe, A. A., Awe, B. S., Olorunfemi, I. E., & Oguntunde, P. G. (2020). Modelling flood-prone area and vulnerability using integration of multi-criteria analysis and HAND model in the Ogun River Basin, Nigeria. Hydrological Sciences Journal, 65(10), 1766–1783. https://doi.org/10.1080/02626667.2020.1764960

Merz, B., Blöschl, G., Vorogushyn, S., Dottori, F., Aerts, J. C. J. H., Bates, P., Bertola, M., Kemter, M., Kreibich, H., Lall, U., & Macdonald, E. (2021). Causes, impacts and patterns of disastrous river floods. Nature Reviews Earth & Environment, 2(9), 592–609. https://doi.org/10.1038/s43017-021-00195-3

Mudashiru, R. B., Sabtu, N., Abdullah, R., Saleh, A., & Abustan, I. (2022). Optimality of flood influencing factors for flood hazard mapping: An evaluation of two multi-criteria decision-making methods. Journal of Hydrology, 612, 128055. https://doi.org/10.1016/j.jhydrol.2022.128055

Nguyen, H.-D., Pham, V.-D., Nguyen, Q.-H., Pham, V.-M., Pham, M. H., Vu, V. M., & Bui, Q.-T. (2020). An optimal search for neural network parameters using the Salp swarm optimization algorithm: A landslide application. Remote Sensing Letters, 11(4), 353–362. https://doi.org/10.1080/2150704X.2020.1716409

Nkwunonwo, U. C., Whitworth, M., & Baily, B. (2016). Review article: A review and critical analysis of the efforts towards urban flood risk management in the Lagos region of Nigeria. Natural Hazards and Earth System Sciences, 16(2), 349–369. https://doi.org/10.5194/nhess-16-349-2016

Nwanosike, S. O., Mmom, Prince. C., & Weli, V. E. (2021). Impacts of Flooding on Residents of the Niger Delta Region of Nigeria: Deleterious and Beneficial Dimensions. Journal of Research in Humanities and Social Science, 9(11), 58–68.

Obiora, D. N., & Ibuot, J. C. (2023). Electrical geophysical evaluation of susceptibility to flooding in University of Nigeria, Nsukka main campus and its environs, Southeastern Nigeria. Journal of Groundwater Science and Engineering, 11(4), 422–434. https://doi.org/10.26599/JGSE.2023.9280033

Ogden, F. L., Raj Pradhan, N., Downer, C. W., & Zahner, J. A. (2011). Relative importance of impervious area, drainage density, width function, and subsurface storm drainage on flood runoff from an urbanized catchment. Water Resources Research, 47(12), 2011WR010550. https://doi.org/10.1029/2011WR010550

Olatunde, A. F., & Sullaiman, I. D. (2025). Wet and Dry Sell Occurrences in Lokoja Area, Kogi State, Nigeria. 4(1).

Ologunorisa, T. E., & Abawua, M. J. (2005). Flood risk assessment: A Review. J. Appl. Sci. Environ. Mgt., 9(1), 57–63. http:// www.bioline.org.br/ja05010

O’Neill, E., Brereton, F., Shahumyan, H., & Clinch, J. P. (2016). The Impact of Perceived Flood Exposure on Flood‐Risk Perception: The Role of Distance. Risk Analysis, 36(11), 2158–2186. https://doi.org/10.1111/risa.12597

Oyeniyi, T., Adebola, S. A., & Ojo, S. (2016). Magnetic Surveying as an Aid to Geological Mapping: A Case Study from Obafemi Awolowo University Campus in Ile-Ife, Southwest Nigeria. 18(2), 331–343.

Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting, resource allocation. New York ; London : McGraw-Hill International Book Co. https://archive.org/search.php?query=external-identifier%3A%22urn%3Aoclc%3Arecord%3A1330340106%22

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Published

2026-04-24

How to Cite

Mogaji, K., & Komolafe, A. (2026). Improving Flood Hazards Assessment with Geospatial and Geophysical Integration: A Case Study of Lokoja, Nigeria. Journal of Science, Technology and Innovation Research, 2(1). https://doi.org/10.51459/jostir.2026.2.1.0210

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