Optimizing Landfill Site Selection Using Fuzzy-AHP and GIS for Sustainable Urban Planning
Site selection
DOI:
10.28991/cej-2024-010-06-01
Publication Date:
2024-07-20T13:39:00Z
AUTHORS (10)
ABSTRACT
Careful landfill selection with minimal environmental impact is vital for urban planners. This study aims to identify suitable sites controlled landfills using Fuzzy-AHP integrated Remote Sensing and GIS, considering a 20-year projection of population solid waste generation. Initially, twelve sub-criteria were identified, grouped into environmental, socio-economic, physical categories, then weighted paired comparison matrices involving nine experts. The rasterized classified four suitability levels. overlay maps generated territorial model. Within the Alto Utcubamba Commonwealth (Amazonas, Peru), 0.069%, 41.70%, 66.934%, 0.20%, 12.4% territory are suitable, moderately less unsuitable, restricted, respectively, establishment. Subsequently, 16 highly selected based on required area (S4 polygons ≥ 0.505 ha) in line projected generation over 20 years. Of areas, only 15 met shape index. model showed high accuracy (AUC = 0.784) during validation. Furthermore, this provides comprehensive framework making decisions about management developing countries, enhancing understanding key factors selecting sites. It also offers deeper insight global local that determine Doi: 10.28991/CEJ-2024-010-06-01 Full Text: PDF
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