Modelling landfill location using Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA): Case study Bo,Southern Sierra Leone |
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| Institution: | 1. School of PEMS, UNSW@ADFA, Canberra ACT 2612, Australia;2. Geography Department, Fourah bay College, University of Sierra Leone, Freetown, Sierra Leone;3. Institute of Geography and Development Studies, Njala University, Sierra Leone;1. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;3. School of Tourism Management, Sun Yat-sen University, Guangzhou 510275, China;1. Istanbul Technical University, Department of Industrial Engineering, 34367 Macka, Besiktas, Istanbul, Turkey;2. Yildiz Technical University, Department of Industrial Engineering, 34349 Yildiz, Besiktas, Istanbul, Turkey;1. Institute of Environmental Science and Technology (ICTA), Universitat Autònoma de Barcelona, Spain;2. Stockholm Resilience Centre, Stockholm University, Sweden;3. Norwegian Institute for Nature Research (NINA), Norway;4. Institute of Geography, Humboldt University Berlin, Germany;5. Department of Computational Landscape Ecology, Helmholtz Centre for Environmental Research (UFZ), Germany;6. Department of International Environment and Development Studies, Norwegian University of Life Sciences (NMBU), Norway;1. CICLOG, Life Cycle Assessment Research Group, Universidade Federal de Santa Catarina-UFSC, Florianópolis, Brazil;2. EnCiclo Soluções Sustentáveis Ltda, Palhoça, Brazil |
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| Abstract: | Among the various approaches devised in managing municipal solid wastes, landfills remain the final destination of waste irrespective of the technology used in treating it. Incorrect siting of landfill sites could lead to environmental, social and economic cost; hence, appropriate techniques are required in the identification of potential landfill sites. In densely populated areas in Sierra Leone, there is often tension over the location of landfill sites, where ‘not in my backyard’ campaigns have sparked riots. This article presents a methodological framework for identifying municipal landfill sites in urban areas in Sierra Leone using Bo in Southern Sierra Leone as a case in point. This framework involves a multi-criteria GIS approach that blends two aggregation techniques: Weighted Linear Combination and Ordered Weighted Averaging. Key results show that 83.3% of the study area is unsuitable for municipal landfill. |
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