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,...
| Main Authors: | , , , , , , , , , |
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| Format: | Artículo |
| Language: | Inglés |
| Published: |
Salehan Institute of Higher Education
2024
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| Online Access: | http://hdl.handle.net/20.500.12955/2626 https://doi.org/10.28991/cej-2024-010-06-01 |
| _version_ | 1855490632421736448 |
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| author | Zabaleta Santisteban, Jhon Antony Salas López, Rolando Rojas Briceño, Nilton B. Gómez Fernández, Darwin Medina Medina, Angel J. Tuesta Trauco, Katerin M. Rivera Fernandez, Abner S. Lévano Crisóstomo, José Oliva Cruz, Manuel Silva López, Jhonsy O. |
| author_browse | Gómez Fernández, Darwin Lévano Crisóstomo, José Medina Medina, Angel J. Oliva Cruz, Manuel Rivera Fernandez, Abner S. Rojas Briceño, Nilton B. Salas López, Rolando Silva López, Jhonsy O. Tuesta Trauco, Katerin M. Zabaleta Santisteban, Jhon Antony |
| author_facet | Zabaleta Santisteban, Jhon Antony Salas López, Rolando Rojas Briceño, Nilton B. Gómez Fernández, Darwin Medina Medina, Angel J. Tuesta Trauco, Katerin M. Rivera Fernandez, Abner S. Lévano Crisóstomo, José Oliva Cruz, Manuel Silva López, Jhonsy O. |
| 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 | Artículo |
| id | INIA2626 |
| 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 | INIA26262024-12-27T05:37:01Z Optimizing landfill site selection using fuzzy-AHP and GIS for sustainable urban planning Zabaleta Santisteban, Jhon Antony Salas López, Rolando Rojas Briceño, Nilton B. Gómez Fernández, Darwin Medina Medina, Angel J. Tuesta Trauco, Katerin M. Rivera Fernandez, Abner S. Lévano Crisóstomo, José Oliva Cruz, Manuel Silva López, Jhonsy O. Landfill locations F-AHP Remote sensing Geographic Information systems Suitability model https://purl.org/pe-repo/ocde/ford#4.05.00 Landfills 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. 2024-12-27T05:37:01Z 2024-12-27T05:37:01Z 2024-06-01 info:eu-repo/semantics/article Santisteban, 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 2476-3055 http://hdl.handle.net/20.500.12955/2626 https://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#4.05.00 Landfills Zabaleta Santisteban, Jhon Antony Salas López, Rolando Rojas Briceño, Nilton B. Gómez Fernández, Darwin Medina Medina, Angel J. Tuesta Trauco, Katerin M. Rivera Fernandez, Abner S. Lévano Crisóstomo, José Oliva Cruz, Manuel Silva López, Jhonsy O. 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#4.05.00 Landfills |
| url | http://hdl.handle.net/20.500.12955/2626 https://doi.org/10.28991/cej-2024-010-06-01 |
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