Optimizing landfill site selection using fuzzy-AHP and GIS for sustainable urban planning

dc.contributor.authorZabaleta Santisteban, Jhon Antony
dc.contributor.authorSalas López, Rolando
dc.contributor.authorRojas Briceño, Nilton B.
dc.contributor.authorGómez Fernández, Darwin
dc.contributor.authorMedina Medina, Angel J.
dc.contributor.authorTuesta Trauco, Katerin M.
dc.contributor.authorRivera Fernandez, Abner S.
dc.contributor.authorLévano Crisóstomo, José
dc.contributor.authorOliva Cruz, Manuel
dc.contributor.authorSilva López, Jhonsy O.
dc.date.accessioned2024-12-27T05:37:01Z
dc.date.available2024-12-27T05:37:01Z
dc.date.issued2024-06-01
dc.description.abstractCareful landfill selection with minimal environmental impact is vital for urban planners. This study aims to identify suitable sites for controlled landfills using Fuzzy-AHP integrated with Remote Sensing and GIS, considering a 20-year projection of population and solid waste generation. Initially, twelve sub-criteria were identified, grouped into environmental, socio-economic, and physical categories, and then weighted using paired comparison matrices involving nine experts. The sub-criteria were rasterized and classified into four suitability levels. The weighted overlay of sub-criteria maps generated a territorial suitability model. Within the Alto Utcubamba Commonwealth (Amazonas, Peru), 0.069%, 41.70%, 66.934%, 0.20%, and 12.4% of the territory are suitable, moderately suitable, less suitable, unsuitable, and restricted, respectively, for landfill establishment. Subsequently, 16 highly suitable sites were selected based on the required area (S4 polygons ≥ 0.505 ha) in line with the projected solid waste generation over 20 years. Of the 16 selected areas, only 15 met the shape index. The model showed high accuracy (AUC = 0.784) during validation. Furthermore, this study provides a comprehensive framework for making decisions about waste management in developing countries, enhancing understanding of key factors in selecting landfill sites. It also offers a deeper insight into global and local factors that determine the suitability of landfill sites.
dc.formatapplication/pdf
dc.identifier.citationSantisteban, J. A. Z., López, R. S., Rojas-Briceño, N. B., Fernández, D. G., Medina, A. J. M., Trauco, K. M. T., Rivera-Fernandez, A.; Lévano Crisostomo, J.; Oliva-Cruz, M.; & Silva-López, J. O. (2024). Optimizing landfill site selection using fuzzy-AHP and GIS for sustainable urban planning. Civil Engineering Journal, 10(6), 1698-1719. doi: 10.28991/cej-2024-010-06-01
dc.identifier.doihttps://doi.org/10.28991/cej-2024-010-06-01
dc.identifier.issn2476-3055
dc.identifier.urihttp://hdl.handle.net/20.500.12955/2626
dc.language.isoeng
dc.publisherSalehan Institute of Higher Education
dc.publisher.countryIR
dc.relation.ispartofurn:issn:2476-3055
dc.relation.ispartofseriesCivil Engineering Journal
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceInstituto Nacional de Innovación Agraria
dc.source.uriRepositorio Institucional - INIA
dc.subjectLandfill locations
dc.subjectF-AHP
dc.subjectRemote sensing
dc.subjectGeographic Information systems
dc.subjectSuitability model
dc.subject.agrovocLandfills
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#4.05.00
dc.titleOptimizing landfill site selection using fuzzy-AHP and GIS for sustainable urban planning
dc.typeinfo:eu-repo/semantics/article

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