Optimizing landfill site selection using Fuzzy-AHP and GIS for sustainable urban planning
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,...
| Autores principales: | , , , , , , , , , |
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| Formato: | info:eu-repo/semantics/article |
| Lenguaje: | Inglés |
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Salehan Institute of Higher Education
2024
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| Acceso en línea: | https://hdl.handle.net/20.500.12955/2574 http://dx.doi.org/10.28991/CEJ-2024-010-06-01 |
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| author | 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 |
| author_browse | Gómez Fernández, Darwin Lévano Crisóstomo, José Medina Medina, Angel James Oliva Cruz, Manuel Rivera Fernandez, Abner Shelser Rojas Briceño, Nilton Beltrán Salas López, Rolando Silva López, Jhonsy Omar Tuesta Trauco, Katerin Meliza Zabaleta Santisteban, Jhon Antony |
| author_facet | 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 |
| author_sort | Zabaleta Santisteban, Jhon Antony |
| collection | Repositorio INIA |
| description | 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. |
| format | info:eu-repo/semantics/article |
| id | INIA2574 |
| institution | Institucional Nacional de Innovación Agraria |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Salehan Institute of Higher Education |
| publisherStr | Salehan Institute of Higher Education |
| record_format | dspace |
| spelling | INIA25742024-09-13T21:14:34Z Optimizing landfill site selection using Fuzzy-AHP and GIS for sustainable urban planning 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 Landfill Locations F-AHP Remote Sensing Geographic Information Systems Suitability Model https://purl.org/pe-repo/ocde/ford#5.07.01 Landfills Descarga Remote sensing Teledetección Geographical Information Systems Sistema de Información Geográfica Models Modelo 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. This research was funded by the Public Investment Project “Creación de un Laboratorio de Geomática y Teledetección de la Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas” GEOMATICA, (CUI N° 2255626). The APC was funded by the Vice Rectorate of Research of the National University Toribio Rodriguez de Mendoza of Amazonas. 2024-09-13T21:14:32Z 2024-09-13T21:14:32Z 2024-06-01 info:eu-repo/semantics/article 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 2476-3055 https://hdl.handle.net/20.500.12955/2574 http://dx.doi.org/10.28991/CEJ-2024-010-06-01 eng urn:issn: 2476-3055 Civil Engineering Journal info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ application/pdf application/pdf Salehan Institute of Higher Education IR Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA |
| spellingShingle | Landfill Locations F-AHP Remote Sensing Geographic Information Systems Suitability Model https://purl.org/pe-repo/ocde/ford#5.07.01 Landfills Descarga Remote sensing Teledetección Geographical Information Systems Sistema de Información Geográfica Models Modelo 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 Optimizing landfill site selection using Fuzzy-AHP and GIS for sustainable urban planning |
| title | Optimizing landfill site selection using Fuzzy-AHP and GIS for sustainable urban planning |
| title_full | Optimizing landfill site selection using Fuzzy-AHP and GIS for sustainable urban planning |
| title_fullStr | Optimizing landfill site selection using Fuzzy-AHP and GIS for sustainable urban planning |
| title_full_unstemmed | Optimizing landfill site selection using Fuzzy-AHP and GIS for sustainable urban planning |
| title_short | Optimizing landfill site selection using Fuzzy-AHP and GIS for sustainable urban planning |
| title_sort | optimizing landfill site selection using fuzzy ahp and gis for sustainable urban planning |
| topic | Landfill Locations F-AHP Remote Sensing Geographic Information Systems Suitability Model https://purl.org/pe-repo/ocde/ford#5.07.01 Landfills Descarga Remote sensing Teledetección Geographical Information Systems Sistema de Información Geográfica Models Modelo |
| url | https://hdl.handle.net/20.500.12955/2574 http://dx.doi.org/10.28991/CEJ-2024-010-06-01 |
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