Landslide Soil Failure Parameters Characterization Using Geoelectrical Resistivity Methods in Uruagu, Nnewi, Anambra State, Nigeria
Abstract
Electrical Resistivity Imaging (ERI) and Vertical Electrical Sounding (VES) were deployed over Uruagu landslide area. The main purpose of the geoelectrical resistivity surveys was to characterize the landslide failure parameters in order to identify the soil failure mechanisms. Ten profiles of 2D Electrical Resistivity Imaging (ERI) measuring 200 m each, and thirty Vertical Electrical Sounding (VES), with three VES along each profile, were executed. Nine of the ten profiles were executed within the landslide site while one profile was executed in a residential street as a control profile. Four soil samples were also taken for physical and geotechnical laboratory index analysis. The PASI resistivity meter was used for the geoelectrical resistivity measurements. The Wenner-Schlumberger array was deployed for the ERI with a minimum electrode spacing of 10 m.
The Schlumberger array was deployed for the VES with a maximum current spacing of 130 m. ERI resistivity data analysis involved inversion using RES2DINV software package involving mean model residual and construction of iso-apparent resistivity contour maps. VES resistivity data analysis involved calculated parameters from plotted field data on log-log graph then used as initial models in an iterative forward modeling WinResist software package.
The results of the ERI and VES for the control profile reveal that the subsurface strata are originally composed of silty clay of resistivity values (16.7 – 60.9) Ωm, clayey silty sand having resistivity values (116 – 800) Ωm and sandstone layer with resistivity values (>814 Ωm). The ERI and VES results for the devastated landslide site reveal counteraction material of resistivity values (>814 Ωm), colluvia and regoliths (116 - 300 Ωm) and variably wet weathered sandstones of resistivity values (<60.9 Ωm). The laboratory results revealed the landslide site is majorly composed of silty sandy clay, silty clay, sandy silty clay and sandstones as the pre-landslide existing lithologies. The natural water content ranges from 10.6% to 14.0%. The liquid limit ranges from 44.0% to 46.0%, the plastic limit ranges from 15.0% to 17.0% and the plasticity index from 28.0% to 29.1%. The geophysical and laboratory results revealed consistency in the lithological units in agreement to the characteristic geology of the study area. The landslide site has high gully slope gradients and collects large volume of floods during intense rainy season. These soils during intense rainfall, imbibe more water, following their high plasticity, slid along the sandstone to activate the soil failure.
Downloads
Metrics
References
Investigation of Foundation Defects: A Case Study. Journal of Geology and Mining Research. Vol. 3 (2); 142-151.
2. Bisdorf, R.J and Lucius, J.E (1999). Mapping the Norman- Oklahoma Landfill Contaminant Plume Using Electrical Geophysics. U.S Geological Survey Water Resources Investigation Report, 6: 99- 401
3. Bogoslovsky, V. A. and Ogilvy, A. A. (1977). Geophysical methods for the investigation of landslides. Geophysics, vol. 42, no. 3, Pp.
562–571. Doi:10.1190/1.1440727
4. Casagrande, A. (1932). “Research of Atterberg Limits of Soils,” Public Roads, Vol. 13 (8): 121–136.
5. Chikwelu, E. E. and Chetty, N. (2021). Use of Electrical Resistivity Tomography in investigating the internalStructure of a landslide and its groundwater characterization (Nanka Landslide, Anambra State, Nigeria). Journal of Applied Science and Engineering, Vol. 25, No 4, Page 763-772 dx.doi.org/10.6180/jase.202208_25(4).0012
6. Coduto, D.P. (1999). Geotechnical Engineering: Principles and Practice. Upper Saddle River Prentice Hall Inc
7. Cruden, D.M and Varnes, D.J. (1996). Landslide types and processes. Special Report – National Research Council, Transportation Research Board. Vol 247, pp. 36-75.
8. Dahlin, L.T., Forsberg, K., Nilsson, A. and Flyhammer, P. (2006). Resistivity Imaging for Mapping of Groundwater Contamination at
the Municipal Landfill La Chureca, Managua, Nicaragua. Near Surface 2006, 12th European Meeting of Environmental and Engineering Geophysics, 4–6 September, Helsinki, Finland
9. Daily, W. and Ramirez, A.L. (2000). Electrical imaging of engineered hydraulic barriers. Geophysics, 65(1), pp.83 – 94.
10. Egbueri, J. C. and Igwe, O. (2021). The impact of hydrogeomorphological characteristics on gullying processes in erosion-prone geological units in parts of southeast Nigeria. Geology, Ecology, and Landscapes 5(3): 227–240. DOI: 10.1080/24749508.2020.1711637.
11. Evrett ME. 2013. Near-surface Applied Geophysics.Cambridge: Cambridge University Press.
12. Ezemonye, M.N., and Emeribe, C.N. (2012). Rainfall erosivity in southeastern Nigeria. Ethiopian Journal of Environmental Studies and
Management 5 (2): 112–122.
13. Igwe, O., Mode, W., Nnebedum, O., Okonkwo, I. and Oha, I. (2013). The analysis of rainfall-induced slope failures at Iva Valley area of
Enugu state, Nigeria. Environment and Earth Science. https://doi.org/10.1007/s12665-013-2647
14. Igwe, O. and Una, C.O. (2019). Landslide impacts and management in Nanka area, Southeast Nigeria. Geoenvironmental Disaster. 6(5),
pp 1-12.
15. Kearey, P., Brooks, M. and Hill, I. (2002). An Introduction to Geophysical Exploration.3rd edition- Blackwell Science Ltd, Oxford,
pp 262.
16. Loke, M.H. (2001). Electrical Imaging Survey for environmental and engineering studies: A practical guide for 2D and 3D surveys.
www.geoelectrical.com p.62
17. Merritt, A.J., Chambers, J.E., Murphy, W. et al.(2013). 3D ground model development for an active landslide in Lias mudrocks using
geophysical, remote sensing and geotechnical methods, Landslides, vol 11, no. 4, pp. 537-550. DOI 10.1007/s10346-013-0409-1
18. McCann, D.M, Forster A (1990) Reconnaissance geophysical methods in landslide
19. investigations. Eng Geol 29:59–78
20. Monanu, S., and Inyang, F. (1975). Climatic regimes. In Nigeria inMaps (ed. by, ed. G.E.K. Ofomata, 27–29. Benin: Ethiope Publ.
House.
21. Nfor, B N; Olobaniyi, S B; Ogala, J E (2007). Extent and distributionof groundwater resources in parts of Anambra State, Southeastern,
Nigeria. Journal of Appl. Sci. Environ. Manage. vol. 11 (2) 215 - 221
22. Nigeria Meteorological Agency (NIMET) (2007). Daily weather forecast on the Nigerian Television Authority. Nigerian Metrological
Agency, Oshodi, Lagos
23. Nwajide, C.S. (1980). Eocene tidal sedimentation in the Anambra Basin, southern Nigeria. Sedimentary Geology 25: 189–207.
24. Onyekwelu, C. C. Onwubuariri, C. N. Mgbeojedo, T. I. AlNaimi, L. S. Ijeh, B. I. Agoha, C. C.(2021) Geoelectrical
investigation of the groundwater potential of Ogidi and environs, Anambra State, Southeastern Nigeria. Journal of Petroleum
Exploration and Production Technology. doi.org/10.1007/s13202-
021-01119-z
25. Pazzi, V.; Morelli, S. and Fanti, R (2019). A review of the advantages and limitations of geophysical investigations in landslide
studies. International Journal of Geophysics. v. 2019, pp 27
26. Perrone, A., Lapenna, V. and Piscitelli, S.(2014).Electrical resistivity tomography technique for landslide investigation: a
review. Earth-Science Reviews, vol. 135, pp. 65–82.
27. Rezaei, S.; Shooshpasha, I.; Rezaei, H. (2019). Reconstruction of landslide model from ERT, geotechnical, and field data, Nargeschal
landslide, Iran. Bulletin of Engineering Geology and the Environment, v. 78, n.5, p. 3223-3237,.
28. Sechman, H., Mościcki, W.J. and Dzieniewicz, M. (2013). Pollution of near-surface zone in the vicinity of gas wells. Geoderma, 197–198,
pp. 193 – 204
29. Uwaezuoke, C.C., Ishola, K.S. & Ayolabi, E. A. (2021) Electrical resistivity imaging and multichannel analysis of surface waves for
mapping the subsurface of a Wetland Area of Lagos, Nigeria, NRIAG Journal of Astronomy and Geophysics, 10:1, 300-319,
DOI:10.1080/20909977.2021.1927427
30. Whiteman, A (1982) Nigeria: Its petroleum geology, resources and potentials, vol 1. Graham &Trotman, Londonpressures in the Anambra basin, southern Nigeria. Hydrol Sci J 42(2):141–154
Copyright (c) 2023 Charles Chinedu Uwaezuoke, Osariere John Airen
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.