Optimizing landfill site selection using Fuzzy-AHP and GIS for sustainable urban planning
2024
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
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.
Показать больше [+] Меньше [-]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.
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Эту запись предоставил Instituto Nacional de Innovación Agraria