Modeling the environmental susceptibility of landfill sites in California |
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Authors: | Victor Fernandez Nascimento Nazli Yesiller Keith C Clarke Jean Pierre Henry Balbaud Ometto Pedro R. Andrade Anahi Chimini Sobral |
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Affiliation: | 1. National Institute for Space Research - Brazil (INPE), Earth System Science Center (CCST), S?o José dos Campos, Brazil;2. Global Waste Research Institute (GWRI), California Polytechnic State University (Cal Poly), San Luis Obispo, CA, United Statesvictor.nascimento@inpe.br;4. Global Waste Research Institute (GWRI), California Polytechnic State University (Cal Poly), San Luis Obispo, CA, United States;5. Department of Geography, University of California, Santa Barbara, Santa Barbara, CA, United States |
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Abstract: | ??The proper management of solid waste (SW) is a global environmental challenge. A major issue is the proper disposal of SW while balancing a wide range of criteria and working with different spatial data. In this study, we used geographic information system as a tool to perform multi-criteria decision analysis with an analytical hierarchy process to develop an environmental impact susceptibility model (EISM) for landfills. The model was applied to the state of California, USA and results are presented herein. In particular, the EISM considers factors such as geology, pedology, geomorphology, water resources, and climate as represented by 13 associated environmental indicators. The results of the EISM indicate that more than 75% of California’s territory is situated in areas with very low, low, and medium environmental impact susceptibility categories. However, in the remaining 25% of the state’s land, 61 landfills are located in the high and very high categories. These results are alarming because during the period from 2000 to 2015, these 61 landfills received approximately 308 million tons of SW, which corresponds to more than 57% of all SW disposed in California. The model results can be used toward mitigating the environmental impacts of these facilities. |
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Keywords: | modeling geographic information system (GIS) environmental impact solid waste management landfill multi-criteria decision analysis (MCDA) |
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