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https://hdl.handle.net/20.500.12955/2574
Título : | Optimizing landfill site selection using Fuzzy-AHP and GIS for sustainable urban planning |
Autor : | Zabaleta Santisteban, Jhon Antony Salas López, Rolando Rojas Briceño, Nilton Beltrán Gómez Fernández, Darwin Medina Medina, Angel James Tuesta Trauco, Katerin Meliza Rivera Fernandez, Abner Shelser Lévano Crisóstomo, José Oliva Cruz, Manuel Silva López, Jhonsy Omar |
Fecha de publicación : | 1-jun-2024 |
Publicado en: | Civil Engineering Journal |
Resumen : | Careful 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. |
Palabras clave : | Landfill Locations F-AHP Remote Sensing Geographic Information Systems Suitability Model |
metadata.dc.subject.agrovoc: | Landfills Descarga Remote sensing Teledetección Geographical Information Systems Sistema de Información Geográfica Models Modelo |
Editorial : | Salehan Institute of Higher Education |
Citación : | Zabaleta-Santisteban, J.A.; Salas-López, R.; Rojas-Briceño, N.B; Gómez-Fernández, D.; Medina-Medina, A.J.; Tuesta-Trauco, K.M.; Rivera-Fernandez, A.S.; Lévano-Crisóstomo, 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).doi:10.28991/CEJ-2024-010-06-01 |
URI : | https://hdl.handle.net/20.500.12955/2574 |
metadata.dc.identifier.doi: | http://dx.doi.org/10.28991/CEJ-2024-010-06-01 |
ISSN : | 2476-3055 |
metadata.dc.subject.ocde: | https://purl.org/pe-repo/ocde/ford#5.07.01 |
Aparece en las colecciones: | Artículos científicos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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Zabaleta_et-al_2024_optimizing_urban_planning.pdf | 2,78 MB | Adobe PDF | Visualizar/Abrir |
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