AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (1.7 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research paper | Open Access

Electrical geophysical evaluation of susceptibility to flooding in University of Nigeria, Nsukka main campus and its environs, Southeastern Nigeria

Daniel Nnaemeka Obiora1Johnson Cletus Ibuot1( )
Department of Physics and Astronomy, University of Nigeria, Nsukka, Enugu State
Show Author Information

Abstract

Flooding occurs when rainfall exceeds the absorption capacity of soil and causes significant environmental consequences. In this study, electrical resistivity techniques were employed to assess the flood susceptibility of the study area by examining variations in electrical properties. Prior to flooding, Vertical Electrical Sounding (VES) and Electrical Resistivity Tomography (ERT) profiles were conducted to determine the variations in resistivity within subsurface lithologies exposed to the injected current. The injected current penetrated the subsurface units characterised by resistivity ranging from 190.5 Ω·m to 6,775.7 Ω·m, 42.3 Ω·m to 7,297.4 Ω·m, and 320.2 Ω·m to 24,433.3 Ω·m in the first, second and third layers, respectively. These layers were identified as lateritic topsoil, medium-coarse brownish grained sand, and coarse pebbly blackish sand, respectively. The calculated reflection coefficients between layers 1, 2, and 3 reveal alternation in layers with values ranging from −0.04 to 0.66 and 0.36 to 0.95 for k1 and k2, respectively. The transverse resistivity, longitudinal resistivity and anisotropy ranged from 243.59 Ω·m to 24,115.42 Ω·m, 199.61 Ω·m to 14,950.76 Ω·m, and 1.02 to 2.14. Models derived from the ERT profiles reveal variations in resistivity, pinpointing areas of low resistivity which correspond to waterlogged and impermeable layers. The result of this study underscores the importance of integrated resistivity techniques in the study of floods, as it provides valuable insights into flood behaviour, and subsurface dynamics.

References

 

Adabanija MA, Oladunjoye MA. 2014. Investigating internal geometry of a Flood Plain in Basement Complex Terrain of South-western Nigeria using Electrical Resistance Tomography. International Journal of Multidisciplinary and Current Research, 2: 925−931.

 

Adekalu KO, Olorunfemi IA, Osunbitan JA. 2007. Grass mulching effect on infiltration, surface runoff and soil loss of three agricultural soils in Nigeria. Bioresource Technology, 98(4): 912−917. DOI:10.1016/j.biortech.2006.02.044.

 
Agagu OK, Fayose EA, Petters, SW. 1985. Stratigraphy and sedimentation in the Senonian Anambra Basin of eastern Nigeria. Journal of Mining & Geology, 22(1): 26–36.
 
Agbonkhese O, Agbonkhese EG, Aka EO, et al. 2014. Flood menace in Nigeria: Impacts, remedial and management strategies. Civil and Environmental Research, 6(4): 32–40.
 
Aizebeokhai AP, Alile OM, Kayode JS, et al. 2010. Geophysical investigation of some Flood Prone areas in Ota, Southwestern Nigeria. American-Eurasian Journal of Scientific Research, 5 (4): 216-229.
 

Ajibade FO, Ajibade TF, Idowu TE, et al. 2021. Flood-prone area mapping using GIS-based analytical hierarchy frameworks for Ibadan City, Nigeria. Journal of Multi-Criteria Decision Analysis, 28(5-6): 283−295. DOI:10.1002/mcda.1759.

 
Akpan AE, George NJ, George AM, 2009. Geophysical investigation of some prominent gully erosion sites in Calabar, southeastern Nigeria and its implications to hazard prevention. Disaster Advances, 2(3): 46-50.
 

Bala M, Cichy A. 2015. Evaluating electrical anisotropy parameters in miocene formations in the cierpisz deposit. Acta Geophysica, 63(5): 1296−1315. DOI:10.2478/s11600-014-0252-3.

 
Chikwelu E, Ogbuagu FU. 2014. Geotechnical investigation of soils around Mbaukwu Gully Erosion Sites South–Eastern part of Nigeria. Journal of Applied Geology and Geophysics, 2: 6 – 17.
 
Dekongmen BW, Kabo-bah AT, Domfeh MK. et al. 2021. Flood vulnerability assessment in the Accra Metropolis, southeastern Ghana. Applied Water Science, 11: 134.
 
Echendu AJ. 2021. Flooding in Nigeria and Ghana: Opportunities for partnerships in disaster-risk reduction. Sustainability: Science, Practice and Policy, 18(1): 1–15.
 
Ekanem AM. 2020. Georesistivity modelling and appraisal of soil water retention capacity in Akwa Ibom State University main campus and its environs, Southern Nigeria. Modelling Earth System and Environment, 6: 2597-2608.
 
El-Zein A, Ahmed T, Tonmoy F. 2021. Geophysical and social vulnerability to floods at municipal scale under climate change: The case of an inner-city suburb of Sydney. Ecological Indicators, 121 (2021): 106988.
 
George NJ, Akpan AE, Akpan FS. 2017. Assessment of spatial distribution of porosity and aquifer geohydraulic parameters in parts of the tertiary-quaternary hydrogeoresource of south-eastern Nigeria. NRIAG Journal of Astronomy Geophysics, 6(2): 422–433.
 
George NJ. 2020. Appraisal of hydraulic flow units and factors of the dynamics and contamination of hydrogeological units in the littoral zones: A case study of Akwa Ibom State University and its Environs, Mkpat Enin LGA, Nigeria. Natural Resources Research, 29: 3771-3788.
 
George NJ, Ibuot JC, Ekanem AM, et al. 2018. Estimating the indices of inter- transmissibility magnitude of active surficial hydrogeologic units in Itu, Akwa Ibom State, Southern Nigeria. Arabian Journal of Geosciences, 11(6): 1–16.
 
Henriet JP. 1976. Direct application of Dar-Zarrouk parameters in ground water surveys. Geophysical Prospecting, 24: 344–353.
 

Hübner R, Heller K, Günther T, et al. 2015. Monitoring hillslope moisture dynamics with surface ERT for enhancing spatial significance of hydrometric point measurements. Hydrology and Earth System Sciences, 19: 225−240. DOI:10.5194/hess-19-225-2015.

 
Ibuot JC, Aka MU, Inyang NJ, et al. 2022. Georesistivity and physicochemical evaluation of hydrogeologic units in parts of Akwa Ibom State, Nigeria. International Journal of Energy and water Resources, 6.
 

Ibuot JC, George NJ, Okwesili AN, et al. 2019. Investigation of litho-textural characteristics of aquifer in Nkanu west local government area of Enugu State, southeastern Nigeria. Journal of African Earth Scienece, 153: 197−207. DOI:10.1016/j.jafrearsci.2019.03.004.

 
Kayode JS, Arifin MH, Kamarudin MK, et al. 2019. The vulnerability of the aquifer units in the flood-affected areas of the east coast Peninsula Malaysia. Arabian Journal of Geosciences, 12: 146.
 
Keller GV, Frischknecht FC. 1966. Electrical methods in geoelectric prospecting. Pergamon Press 90–04: 1966.
 
Keller GV, Frischknecht FC. 1982. Electrical methods in geophysical prospecting. London: Pergamon Press. Vol 10.
 
Kim J, Kang J. 2021. Analysis of food damage in the Seoul Metropolitan government using climate change scenarios and mitigation technologies. Sustainability, 13(105): 1–28.
 
Koestel J, Vanderborght J, Javaux M, et al. 2009. Noninvasive 3-D transport characterization in a sandy soil using ERT: 1. Investigating the validity of ERT derived transport parameters. Vadose Zone Journal, 8: 711–722.
 
Loke MH. 2000. Electrical imaging surveys for environmental and engineering studies: A practical guide to 2-D and 3-D surveys. 1-61.
 
Lowrie W. 1997. Fundamentals of Geophysics. Cambridge University Press, New York, NY.
 
Negese A, Worku D, Shitaye A, et al. 2022. Potential food-prone area identifcation and mapping using GIS-based multi-criteria decision-making and analytical hierarchy process in Dega Damot district, northwestern Ethiopia. Applied Water Science, 12: 255.
 
Nigeria Hydrological Services Agency. 2020. 2020 annual flood outlook. Available online at: https://nihsa.gov.ng/wp-content/uploads/2020/06/2020-NIHSA-Annual-Flood-Outlook-AFO-5-2.pdf.
 

Nutzmann G, Viotti P, Aagaard P. 2005. Reactive transport in soil and groundwater: Processes and models. Berlin, Germany: Springer−Verlag.

 
Nwajide CS, Reijers TJ. 1996. The geology of the Southern Anambra Basin. In: Reijers, T. J. A. (Ed.), Selected Chapters on Geology: Sedimentary Geology and Sequence Stratigraphy of the Anambra Basin. SPDC, 133–148
 

Nwajide CS. 2013. Geology of Nigeria's Sedimentary Basins. CSS Bookshops, Lagos: 565.

 
Obaje NG. 2009. Geology and mineral resources of Nigeria (221). Berlin: Springer.
 

Obiora DN, Ibuot JC. 2020. Geophysical assessment of aquifer vulnerability and management: A case study of University of Nigeria, Nsukka, Enugu State. Applied Water Science, 10: 1−11. DOI:10.1007/s13201-019-1113-7.

 
Ogbukagu IN. 1976. Soil erosion in the northern part of Awka-Orlu uplands, Nigeria. Journal of Mining and Geology, 13(2): 6-19.
 

Olasehinde PI, Bayewu CG. 2011. Evaluation of eiectrical resistivity anisotropy in geological mapping: A case study of Odo Ara, West Central Nigeria. African Journal of Environmental Science and Technology, 5(7): 553−565.

 
Omeje ET, Obiora DN, Okeke FN, et al. 2023. Investigation of aquifer vulnerability and sensitivity analysis of modified drastic and sintacs models: A case study of Ovogovo Area, Eastern Nigeria. Acta Geophysica, 71: 2439-2464.
 
Owusu AB, Agbozo M. 2019. Application of geographic information systems for food risk analysis: a case study from Accra Metropolitan Area. Present Environment and Sustainable Development, 13(1): 81–97.
 
Osei BK, Ahenkorahb I, Ewusi A, et al. 2021. Assessment of flood prone zones in the Tarkwa mining area of Ghana using a GIS-based approach. Environmental Challenges, 3: 100028.
 
Reyment RA. 1965. Aspect of the Geology of Nigeria Ibadan University Press. 133.
 
Salvati A, Nia AM, Salajegheh A, et al. 2023. Flood susceptibility mapping using support vector regression and hyper-parameter optimization. Journal of Flood Risk Management, e12920. https://doi.org/10.1111/jfr3.12920
 

Shahabi H, Shirzadi A, Ghaderi K, et al. 2020. Flood detection and susceptibility mapping using Sentinel-1 remote sensing data and a machine learning approach: Hybrid intelligence of bagging ensemble based on Knearest neighbor classifier. Remote Sensing, 12(2): 266. DOI:10.3390/rs12020266.

 
Shailaja G, Laxminarayana M, Patil JD, et al. 2016. Efficacy of anisotropic properties in groundwater exploration from geoelectric sounding over trap covered terrain. The Jouornal of Indian Geophysical Union, 20(5): 453–461.
 
Tehrany MS, Lee MJ, Pradhan B, et al. 2014. Flood susceptibility mapping using integrated bivariate and multivariate statistical models. Environ Earth Science, 72: 1–15.
 
Telford WM, Geldart LP, Sheriff RE, et al. 1990. Applied Geophysics. Cambridge University Press, Cambridge.
 

Umar N, Gray A. 2023. Flooding in Nigeria: A review of its occurrence and impacts and approaches to modelling flood data. International Journal of Environmental Studies, 80: 3, 540−561.

 
Wu Z, Zhou Y, Wang H, et al. 2020. Depth prediction of urban food under diferent rainfall return periods based on deep learning and data warehouse. Science of the Total Environment, 716: 137077
 
Zohdy AAR, Eaton GP, Mabey DR. 1974. Application of surface geophysics to groundwater investigations. US Geological Survey Techniques of Water–Resources Investigations, Book 2: 116 (Chapter D1).
Journal of Groundwater Science and Engineering
Pages 422-434
Cite this article:
Obiora DN, Ibuot JC. 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, 2023, 11(4): 422-434. https://doi.org/10.26599/JGSE.2023.9280033

459

Views

30

Downloads

0

Crossref

0

Web of Science

0

Scopus

Altmetrics

Received: 25 December 2022
Accepted: 26 October 2023
Published: 10 December 2023
2305-7068/© 2023 Journal of Groundwater Science and Engineering Editorial Office

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0)

Return