Open AccessSuitable Site Selection for Urban Solid Waste Disposal and Location Allocation Of Waste Collection Bin By Using Geographic Information Systems, In Case Of Nekemte Town
Author(s) -
Shiferaw Garoma Wayessa,
Jiregugusa Duresa,
Ayana Abera Beyene,
Motuma Shiferaw Regasa
Publication year - 2021
Publication title -
journal of building material science
Language(s) - English
Resource type - Journals
ISSN - 2630-5216
DOI - 10.30564/jbms.v3i1.3142
Subject(s) - site selection , municipal solid waste , geographic information system , environmental science , pollution , environmental engineering , waste disposal , dumping , waste management , remote sensing , geography , engineering , business , ecology , political science , international trade , law , biology
The problem of environmental pollution and health hazards due to inappropriate solid waste disposal is critical in developing countries like Ethiopia, Nekemte town is one of the town in Ethiopia facing from environmental pollution due to lack of appropriate dumping site which leads pollution of surface and ground water and environment in and around dumping area. Therefore, the main objective of this study is selection of suitable site for disposal of solid waste using Geographic Information System (GIS) tools. Selection of the most suitable landfill site was determined through the integration of geographic information system (GIS) tools, multi criteria decision analysis and remote sensing techniques. To select suitable landfill site several parameters were considered such as slope, built up area, , road, surface water, land use/land cover, geology and soil. After analysis of suitability of solid waste disposal site using GIS tools and weighted analysis methods selected 36 areas for medium solid waste Bins. Suitability map was prepared by overlay analyses on GIS based Weighted Linear Combination analysis to select the suitable solid waste disposal sites and assigned as the value given 1; unsuitable, 2; less suitable, 3; moderately suitable ; 4; Suitable and 4; highly suitable were determined. Using this method selected 2 highly suitable areas for land fill and inclination area