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Resolving the landfill siting impasse: modelling technocratic and indigenous perspectives using GIS multicriteria approach

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Abstract

Increase in waste generation calls for an effective waste management as this has become a necessity for environmental sustainability. Several methods are adopted in managing waste, which include waste reduction, reuse, thermal treatment, recycling and landfilling. The landfill method is recognised as the most used of all the waste management methods in developing countries such as Ghana. However, the selection of a suitable landfill site is very difficult and tedious. This is because it involves a consideration of many factors such as environmental, topographic, economic, socio-cultural and civil engineering. This research sought to identify a suitable landfill site by applying GIS multicriteria and weighted overlay approach in the Bongo District of Northern Ghana. The analysis relied on criteria and weights provided by the technocrats and the indigenes in the district as a way of demonstrating how landfill siting impasse can be resolved by incorporating the various stakeholders. The results obtained provided clear areas for landfill sites in the study area from the technocratic and the indigenous perspectives. However, the technocratic perspective failed to include an important cultural criterion, sacred groves, as a factor. The indigenous perspective also compromised on the factor related to nearness to residential areas, and is equally not sufficient on its own. The optimal landfill sites, which meets the expectations of both the technocrats and indigenes, was identified. This perspective has produced technically favourable and socio-culturally acceptable landfill site. However, it is recommended an environmental impact assessment (EIA) be conducted to identify the full environmental and social cost of the site. It is concluded that in landfill site selection much attention be given to cultural factors in the same way as the technical factors.

Keywords

GIS Infrastructural planning Landfill site Multicriteria analysis Weighted overlay 
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Notes

Compliance and ethical standards

Author declare that the manuscript has not been submitted or under consideration by any journal or institution for publication. It has not also impacted on the ethical rights of individuals in anyway.

References

  1. Aniah, P., Aosoglenang, A. T., & Bonye, S. Z. (2014). Behind the myth: Indigenous knowledge and belief systems in natural resource conservation in North East Ghana. International Journal of Environmental Protection and Policy, 3(2), 104–112.CrossRefGoogle Scholar
  2. Baabereyir, A. (2009). Urban environmental problems in Ghana: A case study of social and environmental injustice in solid waste management in Accra and Secondi-Takoradi. University of Nottingham, Nottingham.Google Scholar
  3. Bilintoh, T. M., & Stemn, E. (2015). Municipal solid waste landfill site selection in the Sekondi-Takoradi metropolis of Ghana using fuzzy logic in a GIS environment. Journal of Environment and Waste Management, 2(2), 71–78.Google Scholar
  4. Brumm, J., Grossardt, T., & Bailey, K. (2002). Least cost path analysis for transportation planning. Lexington, KY: Kentucky Transportation Centre, University of Kentucky.Google Scholar
  5. Charnpratheep, K., Zhan, Q., & Garner, B. (1997). Preliminary landfill site screening using fuzzy geographical information system. Waste Management & Research, 15(2), 197–215.CrossRefGoogle Scholar
  6. Dawod, G. M., Mirza, M. N., & Al-Ghamdi, K. A. (2011). GIS-based spatial mapping of flash flood hazard in Makkah City, Saudi Arabia. Journal of Geographic Information System, 3(3), 225–231.CrossRefGoogle Scholar
  7. Dorhofer, G., & Siebert, H. (1998). The search for landfill sites: Requirements and implementation in lower Saxanomy, Germany. Environmental Geology, 35(1), 55–65.CrossRefGoogle Scholar
  8. Eastman, R. J. (2001). Guide to GIS and image processing. Worcester: Clark University.Google Scholar
  9. ESRI. (2002). Using ArcGIS spatial analyst. Redlands: ESRI Press.Google Scholar
  10. Ghana Statistical Service. (2014). 2010 population and housing census—District analytical report: Bongo District. Accra: Ghana Statistical Service.Google Scholar
  11. Goulet, D. (1986). Three rationalities in development decision making. World Development, 14(2), 301–317.CrossRefGoogle Scholar
  12. Jiang, H., & Eastman, R. J. (2000). Application of fuzzy measures in multi-criteria evaluation in GIS. International Journal of Geographic Information Systems, 14(2), 173–184.CrossRefGoogle Scholar
  13. Komilis, D. P., Ham, R. K., & Stegmann, R. (1999). The effect of municipal solid waste pretreatment on landfill behavior: A literature review. Waste Management and Research, 17(1), 10–19.CrossRefGoogle Scholar
  14. Kontos, T. D., Komilis, D. P., & Halvadakis, C. R. (2003). Siting MSW landfills on Lesvos island with a GIS-based methodology. Waste Management and Research, 21(3), 262–277.CrossRefGoogle Scholar
  15. Kursah, M. B. (2017). Least-cost pipeline using geographic information system: The limit to technicalities. International Journal of Applied Geospatial Research, 8(3), 1–15.CrossRefGoogle Scholar
  16. Macharia, P. M., & Mundia, C. N. (2014). GIS analysis and spatial modelling for optimal oil pipeline route location. A case study of proposed Isiolo Nakuru pipeline route. In International conference on sustainable research and innovation (Vol. 5, pp. 91–94).Google Scholar
  17. Makhdum, M. (1993). Fundamentals of landuse planning. Tehran: Tehran University Press.Google Scholar
  18. Malczewski, J. (1999). GIS and multicriteria decision analysis. New York, NY: Wiley.Google Scholar
  19. Malczewski, J. (2004). GIS based landuse suitability analysis: A critical overview. Progress in Planning, 62(1), 3–65.CrossRefGoogle Scholar
  20. MLGRD, & EPA. (2002). Landfill guidelines. Accra: Ministry of Local Government and Rural Development (MLGRD) and Environmental Protection Agency (EPA).Google Scholar
  21. Omrani, G., Rezaiee, M. M., Monvari, M., & Nasiri, P. (1998). Assessment of environmental impact of municipal solid waste transfer stations in Tehran City. Journal of Environmental Studies, 1(1), 28–39.Google Scholar
  22. Rafiee, R., Ematolah, K., Abdolrassoul, S. M., Ali, A. D., Afshin, D., & Syed, E. H. (2011). Siting transfer station for municipal solid waste using a spatial multi-criteria analysis. Environmental and Engineering Geoscience, 17(2), 143–154.CrossRefGoogle Scholar
  23. Riad, P. H. S., Billib, M., Hassan, A. A., Salam, M. A., & El Din, M. N. (2011). Application of the overlay weighted model and boolean logic to determine the best locations for artificial recharge of groundwater. Journal of Urban and Environmental Engineering, 5(2), 57–66.CrossRefGoogle Scholar
  24. Saha, A. K., Arora, M. K., Gupta, R. P., Virdi, M. L., & Csaplovics, E. (2005). GIS-based route planning in landslide-prone areas. International Journal of Geographical Information Science, 19(10), 1149–1175.CrossRefGoogle Scholar
  25. Sener, B., Suzen, L., & Doyuran, V. (2006). Landfill site selection by using geographic information system. Environmental Geology, 49(3), 376–388.CrossRefGoogle Scholar
  26. Shukla, G., Shashi, M., & Jain, K. (2012). Decision support system for selecting suitable site for disposing solid waste of township. International Journal of Remote Sensing and GIS, 1(1), 2–11.Google Scholar
  27. Siddiqui, M. Z., Everett, J. W., & Viewx, B. E. (1996). Landfill siting using geographic information systems: A demonstration. Journal of Environmental Engineering, 122(6), 515–523.CrossRefGoogle Scholar
  28. Suman, P. (2012). Location allocation for urban waste disposal site using multi criteria analysis: A case study on Nabadwip municipality, West Bengal, India. International Journal of Geomatics and Geosciences, 3(1), 74–88.Google Scholar
  29. USEPA. (2014). Landfill and combustion. In The quest for less (pp. 165–167). Washington, DC: United State Environmental Protection Agency (USEPA).Google Scholar
  30. Wang, G., Qin, L., Li, G., & Chen, L. (2009). Landfill site selection using spatial information technologies and AHP: A case study in Beijing, China. Journal of Environmental Management, 90(8), 2412–2421.Google Scholar
  31. Ziari, K. (2012). Municipal solid waste disposal site selection model using AHP: A case study in Julfa. Journal of Geography and Environmental Studies, 1(3), 21–30.Google Scholar
  32. Zyma, R. (1990). Siting consideration for resource recovery facilities. Public Works, 121(September), 84–86.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2017

Authors and Affiliations

  1. 1.University of Education WinnebaWinnebaGhana

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