A comprehensive multi-criteria decision making-based land capability assessment for municipal solid waste landfill sitting
| Autor: | Seyed Ali Jozi, Faramarz Moataar, Ghasemali Omrani, Mona Soroudi |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Soil depth
Municipal solid waste Computer science Process (engineering) 020209 energy Health Toxicology and Mutagenesis Decision Making Site selection 02 engineering and technology General Medicine 010501 environmental sciences Environmental economics Iran Solid Waste 01 natural sciences Pollution Fuzzy logic Multi criteria decision Waste Disposal Facilities 0202 electrical engineering electronic engineering information engineering Municipal solid waste landfill Environmental Chemistry Cities Municipal waste management 0105 earth and related environmental sciences |
| Zdroj: | Environmental science and pollution research international. 25(28) |
| ISSN: | 1614-7499 |
| Popis: | The municipal waste management has always been one of the most challenging environmental concerns. Today, although different strategies have been developed, sanitary disposal of municipal waste is still considered as one of the most widely used alternatives, especially in developing countries such as Iran. To investigate the land capability of Pishva, for landfill sitting, the important criteria were categorized in two groups of ecological and socioeconomic and then a multi-criteria decision-making model was used with decision-making trial and evaluation decision-making trial and evaluation (DEMATEL)-analytical network process (ANP) approach. First and foremost, the interaction of criteria was determined implementing DEMATEL. It was found that the soil depth criterion not only is the most effective but also is the most influenced one. Moreover, ANP structure was developed to weigh the criteria. In comparison to socioeconomic criteria, ecological ones play a more significant role. Afterwards, factor maps and constraints were standardized using fuzzy and Boolean logic, respectively, and all layers were combined to generate the final capability map of Pishva applying WLC method. The capability map showed that 71% of the area is not capable of landfilling, and only 5% of Pishva has a high capability. The results proved the great effectiveness of the methods proposed in this study. |
| Databáze: | OpenAIRE |
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