Combine electrical resistivity method and multi-criteria GIS-based modeling for landfill site selection in the Southwestern Nigeria

  • O. J. AkintorinwaEmail author
  • O. V. Okoro
Original Article


An integration of remote sensing and geophysical data was carried out in Odode-Idanre using Geographic Information System (GIS) approach with the aim of developing a landfill site selection map of the area. The area falls within the Precambrian Basement complex of southwestern Nigeria. The remote sensing involved the processing and interpretation of Landsat-7 EMT + image covering the study area and the data were used to produce the lineament, slope, drainage and land use maps of the area. The geophysical investigation involved the vertical electrical sounding (VES) technique using Schlumberger configuration with half electrode spacing (AB/2) varying from 1 to 65 m, One hundred and one (101) soundings stations were occupied within the study area. The interpretation of the VES data was used to generate the geoelectric section and determine Dar Zarrouk parameters. The results were used to generate thematic overburden and the coefficient of anisotropy maps. The geoelectric sections generally identified four geologic/geoelectric sequences that comprise topsoil, weathered layer, fractured Basement and fresh Basement. The depth to the Basement is generally less than 10 m. The multi-criteria evaluation (MCE) analysis were used to assign weights to slope, land use, drainage density, lineament density, coefficient of anisotropy and overburden thickness using the analytical hierarchy process (AHP) and this was used to produce the landfill suitability map. The area was classified into unsuitable, moderately suitable and suitable zones. The unsuitable areas cover about 21.9%, moderately suitable areas cover about 55% and the suitable areas cover about 23.1%. The suitable areas are scattered and discontinuous but predominant within the southern part of the area. For the development of waste dump site within the study area, it should be located within the southern part which was found to be suitable.


Landfill GIS Suitability map Dar Zarrouk parameters 



  1. Abdullahi NK, Osazuwa IB, Sule PO, Onugba A (2013) Geophysical assessment of an active open dump site in basement complex of Northwestern Nigeria. Int J Eng Sci Invent 5:2319–6734., pp 12–21
  2. Adiat KAN, Akinlalu AA, Adegoroye AA (2017) Evaluation of Road failure vulnerability section through integrated geophysical and geotechnical studies. NRIAG J Astronomy Geophys 6:244–255CrossRefGoogle Scholar
  3. Akinlalu AA, Adegbuyiro A, Adiat KAN, Akeredolu BE, Lateef WY (2017) Application of multi-criteria decision analysis in prediction of groundwater resources potential: a case of Oke-Ana, Ilesa Area Southwestern Nigeria. NRIAG J Astronomy Geophys 6:184–200CrossRefGoogle Scholar
  4. Allen AR, Dillon A, O’Brien M (1997) Approaches to Landfill site selection in Ireland. Engineering geology and the Environment, ISBN 9054108770. Pp 1568–1574Google Scholar
  5. Allen G, Brito P, Caetano C, Costa V, Cummins J, Donnelly S, Koukoulas V, O’Donnell C, Robalo, Vendas D (2003) A landfill site selection process incorporating GIS modelling. Proceedings Sardinia 2003, Ninth International Waste Management and Landfill Symposium S. Margherita di Pula, Cagliari, Italy, pp 6–10Google Scholar
  6. Anifowose YB, Omole KE, Akingbade O (2011) Waste disposal site selection using remote sensing and GIS: a study of akure and its environs, Southwest-Nigeria. Proceedings of the Environmental Management Conference, Federal University of Agriculture, Abeokuta, Nigeria. Pp 527–534Google Scholar
  7. Awosusi AO (2010) Assessment of environmental problems and methods of waste management in ado-Ekiti, Nigeria. Afr Res Rev Int Multi-Discip J Ethiop 4(3b):331–343Google Scholar
  8. Babalola A, Busu I (2011) Selection of landfill sites for solid waste treatment in Damaturu town-using GIS techniques. J Environ Protect 2:1–10CrossRefGoogle Scholar
  9. Bhushan N, Rai K (2004) Strategic decision making; applying the analytic hierarchy process. Springer, Berlin IX, 172p
  10. Choudhury S, Das S (2012) GIS and remote sensing for landfill Site selection—a case study on Dharmanagar Nagar Panchayet. IOSR J Environ Sci Toxicol Food Technol 1(2): 36–43CrossRefGoogle Scholar
  11. Cummins V, O’donnell V, Allen A, Donnelly J, Koukoulas S (2002) A new approach to landfill site selection in Ireland using GIS technology. Coastal Resources Centre, Environment Research Institute, University College Cork, Ireland, pp 1–20Google Scholar
  12. Ehirim CN, Ebeniro JO, Olanegan OP (2009) A geophysical investigation of solid waste landfill using 2-D resistivity imaging and vertical electrical sounding methods in port Harcourt municipality, Rivers State, Nigeria. Pac J Sci Technol 10(2):604–613
  13. Federal Ministry of Agriculture and Natural Resources (1965) printed by Federal Surveys, NigeriaGoogle Scholar
  14. Howard AD, Irwin R (1978) Geology in environmental planning. McGraw Hill Books, 478pGoogle Scholar
  15. Jafari HR, Rafii Y, Ramezani M, Nasiri H (2012) Urban landfill site selection using AHP and SAW in GIS environment. (Case Study: Kohkiluye-o-Boyer Ahmad Province, Iran). J Environ Stud 38:61Google Scholar
  16. Keller GV, Frischnecht FC (1966) Electrical methods in geophysical prospecting. Pergamon Press, Oxford, 523Google Scholar
  17. Khan D, Samadder SR (2014) Application of GIS in landfill siting for municipal solid waste. Int J Environ Res Dev 4(Number 1):2249–3131Google Scholar
  18. Lakshminarasimaiah N (2011) Integrated solid waste management—a case study on Hosur, Tamilnadu, India. Thesis. Anna University, Tamilnadu, India. Shodhganga. Web. xxv, 241p
  19. Maillet R (1947) The fundamental equations of electrical prospecting. Geophysics 12(4):529–556CrossRefGoogle Scholar
  20. Malczewski J (1999) GIS and Multicriteria decision analysis. Published by: John Wiley and Sons, Inc. United States of America. 177–192pGoogle Scholar
  21. Manoiu V, Fontanine I, Costache R, Pravalie R, Mitof I (2013) Using GIS techniques for assessing waste landfill placement suitability. Case Study Prahova, Romania. Geograph Tech 08(2):47–56Google Scholar
  22. Josimovic B. and Maric I (2012) Methodology for the regional landfill site selection. Institute of Architecture and Urban & spatial planning of Serbia, Serbia. Chapter 23:513–535Google Scholar
  23. Moeini IA, Zarandi NK, Pazira E, Badiollahi Y (2015) The relationship between drainage density and soil erosion rate: a study of five watersheds in Ardebil Province. Pp 129–139Google Scholar
  24. Natesan U, Suresh ESM (2002) Site suitability evaluation for locating sanitary landfills using GIS. J Ind Soc Remote Sens 30(4):1–7CrossRefGoogle Scholar
  25. NGSA (2004) Geological map of Idanre. Nigeria Geological Survey Agency, Abuja NigeriaGoogle Scholar
  26. Ocan T (1991) Petrogenesis of the rock units of Idanre, Southwestern Nigeria. Unpublished Ph.D thesis, Obafemi Awolowo University, Ile Ife, Nigeria, pp 194Google Scholar
  27. Ojo JS, Olorunfemi MO, Bayode S, Akintorinwa OJ, Omosuyi GO, Akinluyi FO (2014) Constraint map for landfill site selection in akure metropolis, Southwestern Nigeria. Ife J Sci 16(2):405–416Google Scholar
  28. Okpoli CC (2013) Application of 2D Electrical Resistivity Tomography in landfill site: A Case Study of Iku, Ikare Akoko, Southwestern Nigeria. J Geol Res. CrossRefGoogle Scholar
  29. Oladapo MI, Akintorinwa OJ (2007) Hydrogeophysical Study of Ogbese Southwestern, Nigeria. Glob J Pure Appl Sci 13(1):pp55–61Google Scholar
  30. Oyinloye MA, Fasakin JO (2013) Application of geographical information system (GIS) for siting and management of solid waste disposal in Akure, Nigeria. J Environ Sci Toxicol Food Technol 4(2):06–17Google Scholar
  31. Oyinloye MA, Tokunbo MF (2013) Geo-Information for Urban waste disposal and management: the case study of Owo LGA, Ondo State, Nigeria. Int J Eng Sci (IJES) 2(9):19–31Google Scholar
  32. Rahaman MA (1988) Recent advances in the study of the basement complex of—Nigeria. Precambrian geology of Nigeria. A publication of geological survey of Nigeria. Pp. 11–41Google Scholar
  33. Reynold JM (1988) An introduction to applied and environmental geophysics, 2nd edn. John Willy and Sons, New York. 415522Google Scholar
  34. Saaty TL (1980) Decision making with the analytic hierarchy process. Int J Serv Sci 1(1):83–95Google Scholar
  35. Salem HS (1999) Determination of fluid transmissivity and electric transverse resistance for shallow aquifers and deep reservoirs from surface and well-log electric measurements. Hydrol Earth Syst Sci 3(3):421–427CrossRefGoogle Scholar
  36. Sumathi VR, Natesan U, Sarkar C (2008) GIS-based approach for optimized siting of municipal solid waste landfill, 28. Science Direct, Waste Management, pp 2146–2160Google Scholar
  37. Thoso M (2007) The construction of a geographic information systems (GIS) model for landfill site selection. Department of Geography, Faculty of Humanities, University of the Free State, Bloemfontein. 1–59pGoogle Scholar
  38. Yildrim M (1997) Engineering geological evaluation of solid waste landfill sites, Istanbul, Turkey. Bull Int Assoc Eng Geol 55:151–158CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Applied GeophysicsFederal University of TechnologyAkureNigeria

Personalised recommendations