Jhon Antony Zabaleta Santisteban
Rolando Salas López
Nilton B. Rojas-Briceño
Darwin Gómez Fernández
Angel J. Medina Medina
Katerin M. Tuesta Trauco
Abner S. Rivera Fernandez
José Lévano Crisóstomo
Manuel Oliva-Cruz
Jhonsy O. Silva-López

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 ۲۰-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), ۰.۰۶۹%, ۴۱.۷۰%, ۶۶.۹۳۴%, ۰.۲۰%, and ۱۲.۴% of the territory are suitable, moderately suitable, less suitable, unsuitable, and restricted, respectively, for landfill establishment. Subsequently, ۱۶ highly suitable sites were selected based on the required area (S۴ polygons ≥ ۰.۵۰۵ ha) in line with the projected solid waste generation over ۲۰ years. Of the ۱۶ selected areas, only ۱۵ met the shape index. The model showed high accuracy (AUC = ۰.۷۸۴) 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. Doi: ۱۰.۲۸۹۹۱/CEJ-۲۰۲۴-۰۱۰-۰۶-۰۱ Full Text: PDF

Landfill Locations; F-AHP; Remote Sensing; Geographic Information Systems; Suitability Model.