Solid waste dumping site analysis using GIS and remote sensing: Bonga Town, Southwestern Ethiopia

Abstract

The main objective of this study was to select potential solid waste landfill areas suitable for Bonga Town that are environmentally sound. The key data were LANDSAT 8 and SPOT-6 satellite images with a spatial resolution of 15 and 1.5 m, respectively; a digital elevation model with a spatial resolution of 30 m; and a ground control point, which was collected through a ground point survey and a topographic map of the study area. Each parameter was subjected to a peer review according to the analytical hierarchy process. Once the weights were established, the weighted overlap analysis was determined, which combined these criteria and classified them into high, medium, less suitable and inappropriate regions of the study area. The results show that 75.65% of the study area is not suitable for the solid waste landfill, 18.86% less suitable, 5.17% moderately adequate and 0.3% very adequate. Therefore, the ability to use inaccessible geological information framework and detection innovations for mandatory discrimination evidence for a reasonably robust waste dump will minimise opportunities and natural human well-being problems.

Application of optical images and analytical hierarchy process model for solid waste dumping site analysis in Kombolcha town, Northeastern, Ethiopia

“…The solid waste dumping site should be located at a suitable distance from faults. The minimum distance between fault solid waste dumping sites should be away from 1 km to prevent the pollution or contamination of groundwater and collapse or sliding damage of solid waste dumping sites [ 15 , 27 , 43 , 47 ]. The distance to fault suitability classes of 1000m–2000 m, 2000m–3000 m, and >30000 m covered about 36.8 % of the area mainly falling in moderately and highly suitable zones.…”

“…The most suitable and highly suitable sites are located from 1500 to 2000 m and >2000 m of GWWP. The previous studies [ 4 , 15 , 22 ] explained that the dumping sites should be 500 m away from the groundwater resources to minimize groundwater contamination.…”

“…Nowadays optical data, for example, Landsat, Sentinel2, DEM, Aerial photographs, google Earth imageries, etc. play important roles in solid waste dumping site analysis by processing, organizing, and analyzing in geospatial software and integrating with the Analytical hierarchy process (AHP) model [ [13] , [14] , [15] , [16] , [17] , [18] , [19] ] These optical satellite images (geospatial data) can be downloaded freely from different sites and are essential for time-saving, cost-effective, and wide-area sides. In the past few decades, many researchers (for example [ 2 , 4 , 5 , 9 , 10 , [20] , [21] , [22] , [23] ] have extensively conducted their studies on these optical satellite data (geospatial techniques) and the AHP model.…”

Optimal Solid Waste Landfill Site Identification Employing GIS-Based Multi-Criteria Decision Analysis Within the Thach That District, Hanoi, Vietnam

“…GIS facilitates the analysis and processing of spatial data, the computation of numerous criteria, and the integration of informational layers, thereby aiding in the identification of optimal landfill locations. Notably, a multitude of studies worldwide have successfully employed GIS and multi-criteria decision analysis (MCDA) methodologies for solid waste landfill site selection in various countries, including Thailand, India, Indonesia, Iran, Iraq, Turkey, Zambia, Pakistan, Ethiopia, among others [6] [13] and [14].…”