Sanitary landfill site selection using GIS-based on a fuzzy multi-criteria evaluation technique: a case study of the City of Kraljevo, Serbia
Аутори
Durlević, UrošNovković, Ivan
Carević, Ivana
Valjarević, Dragana
Marjanović, Aleksa
Batoćanin, Natalija
Krstić, Filip
Stojanović, Luka
Valjarević, Aleksandar
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Adequate disposal of municipal solid waste (MSW) is one of Serbia’s most complex environmental challenges. The problem is more serious in urban areas, since large amounts of waste are disposed of in locations that do not comply with environmental, technical, and socio-economic standards. Such is the case for the city of Kraljevo, where about 116,000 inhabitants do not have a sanitary landfill facility. This research includes a multi-criteria analysis, conducted with the help of geographic information systems, to find a suitable landfill site location. After data collection, the first step was to process 15 environmental and socio-economic factors utilizing the fuzzy analytic-hierarchy process method. The second step comprised the visual analysis and selection of the ten most suitable locations from the synthetic convenience map. The third step involved the final ranking of sites by means of the fuzzy multi-objective analysis by ratio, plus the full multiplicative form method, based on ...four additional beneficial and non-beneficial criteria. The results show that sanitary landfill candidate site A4 is the most suitable location for constructing a sanitary landfill site due to its large area (569 ha) and relatively short distance from the urban zone (8 km). This study is the first to integrate geographic information systems and the fuzzy analytic-hierarchy process, multi-objective analysis by ratio, and the full multiplicative form algorithm for sanitary landfill selection. The results of the research can be used as a reference for safe waste disposal in the city of Kraljevo.
Кључне речи:
Analytic-hierarchy process / Multi-objective analysis / Waste management / Landfilling / Municipal solid waste / Waste disposalИзвор:
Environmental Science and Pollution Research, 2022, 30, 13, 37961-37980Издавач:
- Springer-Verlag GmbH Germany, part of Springer Nature
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200091 (Универзитет у Београду, Географски факултет) (RS-MESTD-inst-2020-200091)
Колекције
Институција/група
Geografski fakultetTY - JOUR AU - Durlević, Uroš AU - Novković, Ivan AU - Carević, Ivana AU - Valjarević, Dragana AU - Marjanović, Aleksa AU - Batoćanin, Natalija AU - Krstić, Filip AU - Stojanović, Luka AU - Valjarević, Aleksandar PY - 2022 UR - http://gery.gef.bg.ac.rs/handle/123456789/1317 AB - Adequate disposal of municipal solid waste (MSW) is one of Serbia’s most complex environmental challenges. The problem is more serious in urban areas, since large amounts of waste are disposed of in locations that do not comply with environmental, technical, and socio-economic standards. Such is the case for the city of Kraljevo, where about 116,000 inhabitants do not have a sanitary landfill facility. This research includes a multi-criteria analysis, conducted with the help of geographic information systems, to find a suitable landfill site location. After data collection, the first step was to process 15 environmental and socio-economic factors utilizing the fuzzy analytic-hierarchy process method. The second step comprised the visual analysis and selection of the ten most suitable locations from the synthetic convenience map. The third step involved the final ranking of sites by means of the fuzzy multi-objective analysis by ratio, plus the full multiplicative form method, based on four additional beneficial and non-beneficial criteria. The results show that sanitary landfill candidate site A4 is the most suitable location for constructing a sanitary landfill site due to its large area (569 ha) and relatively short distance from the urban zone (8 km). This study is the first to integrate geographic information systems and the fuzzy analytic-hierarchy process, multi-objective analysis by ratio, and the full multiplicative form algorithm for sanitary landfill selection. The results of the research can be used as a reference for safe waste disposal in the city of Kraljevo. PB - Springer-Verlag GmbH Germany, part of Springer Nature T2 - Environmental Science and Pollution Research T1 - Sanitary landfill site selection using GIS-based on a fuzzy multi-criteria evaluation technique: a case study of the City of Kraljevo, Serbia VL - 30 IS - 13 SP - 37961 EP - 37980 DO - 10.1007/s11356-022-24884-8 ER -
@article{ author = "Durlević, Uroš and Novković, Ivan and Carević, Ivana and Valjarević, Dragana and Marjanović, Aleksa and Batoćanin, Natalija and Krstić, Filip and Stojanović, Luka and Valjarević, Aleksandar", year = "2022", abstract = "Adequate disposal of municipal solid waste (MSW) is one of Serbia’s most complex environmental challenges. The problem is more serious in urban areas, since large amounts of waste are disposed of in locations that do not comply with environmental, technical, and socio-economic standards. Such is the case for the city of Kraljevo, where about 116,000 inhabitants do not have a sanitary landfill facility. This research includes a multi-criteria analysis, conducted with the help of geographic information systems, to find a suitable landfill site location. After data collection, the first step was to process 15 environmental and socio-economic factors utilizing the fuzzy analytic-hierarchy process method. The second step comprised the visual analysis and selection of the ten most suitable locations from the synthetic convenience map. The third step involved the final ranking of sites by means of the fuzzy multi-objective analysis by ratio, plus the full multiplicative form method, based on four additional beneficial and non-beneficial criteria. The results show that sanitary landfill candidate site A4 is the most suitable location for constructing a sanitary landfill site due to its large area (569 ha) and relatively short distance from the urban zone (8 km). This study is the first to integrate geographic information systems and the fuzzy analytic-hierarchy process, multi-objective analysis by ratio, and the full multiplicative form algorithm for sanitary landfill selection. The results of the research can be used as a reference for safe waste disposal in the city of Kraljevo.", publisher = "Springer-Verlag GmbH Germany, part of Springer Nature", journal = "Environmental Science and Pollution Research", title = "Sanitary landfill site selection using GIS-based on a fuzzy multi-criteria evaluation technique: a case study of the City of Kraljevo, Serbia", volume = "30", number = "13", pages = "37961-37980", doi = "10.1007/s11356-022-24884-8" }
Durlević, U., Novković, I., Carević, I., Valjarević, D., Marjanović, A., Batoćanin, N., Krstić, F., Stojanović, L.,& Valjarević, A.. (2022). Sanitary landfill site selection using GIS-based on a fuzzy multi-criteria evaluation technique: a case study of the City of Kraljevo, Serbia. in Environmental Science and Pollution Research Springer-Verlag GmbH Germany, part of Springer Nature., 30(13), 37961-37980. https://doi.org/10.1007/s11356-022-24884-8
Durlević U, Novković I, Carević I, Valjarević D, Marjanović A, Batoćanin N, Krstić F, Stojanović L, Valjarević A. Sanitary landfill site selection using GIS-based on a fuzzy multi-criteria evaluation technique: a case study of the City of Kraljevo, Serbia. in Environmental Science and Pollution Research. 2022;30(13):37961-37980. doi:10.1007/s11356-022-24884-8 .
Durlević, Uroš, Novković, Ivan, Carević, Ivana, Valjarević, Dragana, Marjanović, Aleksa, Batoćanin, Natalija, Krstić, Filip, Stojanović, Luka, Valjarević, Aleksandar, "Sanitary landfill site selection using GIS-based on a fuzzy multi-criteria evaluation technique: a case study of the City of Kraljevo, Serbia" in Environmental Science and Pollution Research, 30, no. 13 (2022):37961-37980, https://doi.org/10.1007/s11356-022-24884-8 . .