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<p>Worldwide, municipal solid waste disposal has been a vector of environmental pollution and socio-economic disruptions over the past few decades. A combination of demographic pressure, inadequate environmental policies, and socio-economic factors has increased waste generation. Furthermore, recent rapid urbanization and biophysical factors may have accelerated the expansion of open dumping areas; however, little is known about their impact on the environment, households, and climate in satellite towns in Ethiopia. This study focuses on identifying optimal solid waste landfill sites (LF) using a hybrid geographic information system (GIS) and multicriteria decision-making (MCDM) model in Hosaena. Multiple datasets, including slope, soil, lithology, land use/land cover, boreholes, road networks, drainage networks, and sensitive classes, were used to identify, rank, and prioritize suitable sites. The analytic hierarchy process (AHP) method was applied to compute weighting factors. Highly suitable landfill sites were extracted using Boolean logic based on landfill standardization criteria (LF). Approximately 192 hectares were identified as very highly suitable, with LF_4, comprising 68.25% of this area and located approximately 4&#xa0;km from the city center, nominated as the optimal LF site with the least negative impact. These findings can help mitigate the harmful effects of improper solid waste disposal.</p>

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An optimal model for municipal solid waste management using a hybrid GIS-MCDM analysis in Hosaena Town, Southwest Ethiopia

  • 期刊论文

  • 发表日期：

    2025年12月9日

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  • Daniel Desalegn,
  • Kiros Tsegay Deribew,
  • Girmay Gidey,
  • Girmay Abreha,
  • Mitiku Badasa Moisa,
  • Dessalegn Obsi Gemeda,
  • Sibhatu Gebrehiwot,
  • Samuel Hailu,
  • Wale Simeneh,
  • Kefelegn Getahun

摘要

Worldwide, municipal solid waste disposal has been a vector of environmental pollution and socio-economic disruptions over the past few decades. A combination of demographic pressure, inadequate environmental policies, and socio-economic factors has increased waste generation. Furthermore, recent rapid urbanization and biophysical factors may have accelerated the expansion of open dumping areas; however, little is known about their impact on the environment, households, and climate in satellite towns in Ethiopia. This study focuses on identifying optimal solid waste landfill sites (LF) using a hybrid geographic information system (GIS) and multicriteria decision-making (MCDM) model in Hosaena. Multiple datasets, including slope, soil, lithology, land use/land cover, boreholes, road networks, drainage networks, and sensitive classes, were used to identify, rank, and prioritize suitable sites. The analytic hierarchy process (AHP) method was applied to compute weighting factors. Highly suitable landfill sites were extracted using Boolean logic based on landfill standardization criteria (LF). Approximately 192 hectares were identified as very highly suitable, with LF_4, comprising 68.25% of this area and located approximately 4 km from the city center, nominated as the optimal LF site with the least negative impact. These findings can help mitigate the harmful effects of improper solid waste disposal.