GIS-based potential landfill site selection using MCDM-AHP modeling of Gondar Town, Ethiopia

Sisay, Getahun; Gebre, Sintayehu Legesse; Getahun, Kefelegn

doi:10.1080/19376812.2020.1770105

Cited by 53 publications

(55 citation statements)

References 20 publications

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“…All reclassified influencing criteria involved in this study were analyzed to obtain highly suitable sites where a pairwise comparison of the matrix (Aw) was built to determine the importance of each factor relative to the other based on Saaty's scale (Table 1). AHP has been a powerful tool in weighting criteria and can determine inconsistency in the datasets by computing consistency ratios (Sisay et al, 2020).…”

Section: Pairwise Comparison Of Matrix Analysismentioning

confidence: 99%

“…Landfills should be placed away from residential areas to avoid smell and pollutions produced from wastes. These proximity distances were determined based on other studies elsewhere (Balew et al, 2020;Jerie & Zulu, 2017;Nas et al, 2010;Sisay et al, 2020). In this study, the minimum safest proximity distance from the residential area was determined by considering the city growth rate.…”

Section: Built-up Suitabilitymentioning

confidence: 99%

“…To determine the proximity distance from surface water to landfills' areas of placement, various works of literature were considered (Balew et al, 2020;Lentswe & Molwalefhe, 2020;Sisay et al, 2020).…”

Section: Proximity From Surface Water Suitabilitymentioning

confidence: 99%

“…They are dominant in arid and semi-arid regions only containing water on unpredictable basis (Arthington et al, 2014). Areas far from these channels were considered suitable for landfill sites (Balew et al, 2020;Lentswe & Molwalefhe, 2020;Sisay et al, 2020) to avoid groundwater contamination through leachate (Rikta et al, 2018). A proximity distance less than 500 m was determined as unsuitable, (500-1000 m) as less suitable, (1000-1500 m) moderately suitable, (1500-3000 m) suitable, and greater than 3000 m as highly suitable (Fig.…”

Section: Proximity From Episodic Channels Suitabilitymentioning

confidence: 99%

“…Many researchers in solid waste site selection worldwide indicate that decision-making criteria globally follow the same objectives: environmental, economic, and social desirability (Balew et al, 2020;Mussa & Suryabhagavan, 2019;Panepinto & Zanetti, 2018). GIS-based MCDA has been used for solid waste dumping site selection worldwide (Ajibade et al, 2019;Balew et al, 2020;Rahimi et al, 2020;Sisay et al, 2020;Yousefi et al, 2018) and in Tanzania (Kazuva et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Potential landfill sites selection using GIS-based multi-criteria decision analysis in Dodoma capital city, central Tanzania

Makonyo

Msabi

2021

GeoJournal

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Solid waste management is a global challenge, especially in developing countries due to the rapid increase in population and urbanization where the availability of sanitary landfills is inevitable. Determining suitable landfill sites is a fundamental aspect for new and rapidly growing cities. The current study is aimed at selecting potential landfill sites using GIS-based multi-criteria decision analysis in Dodoma capital city. Fifteen criteria including proximity from built-up areas, surface water, boreholes, sensitive sites including social service areas, episodic water channels, protected areas including historical sites, faults, land use/land cover, geology, soil type, elevation, slopes, airport, roads, and earthquake epicentres were integrated with the help of analytical hierarchy process (AHP). The landfill sites' suitability map was produced based on the weighted linear combination method and assigned suitability classes as highly suitable, suitable, moderately suitable, less suitable, and unsuitable. The overall suitability results show that 41,177 ha (14.7%) of the study area is determined as highly suitable for landfills site location. The remaining 83,930 ha (30%), 84,305 ha (30.2%), and 53,508 ha (19.1%) of the area are suitable, moderately suitable, and less suitable respectively while 16,683 ha (6%) is under the unsuitable zone. From the highly suitable area, eleven candidate landfill sites were selected and prioritized using the AHP technique. The final results show landfill site 3 (10,361.94 ha), 5 (3717.85 ha), and 2 (3535.86 ha) were found to be the most highly suitable sites with eigenvector weight of 0.147, 0.122, and 0.121 respectively. Landfill sites 8, 7, and 6 were lastly considered. Field observation involving expertise from geology, hydrogeology, geophysical, and environment confirmed the suitability of selected sites. Thus, these techniques can be employed in developing countries to locate suitable landfill sites to minimize health and environmental impacts.

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Section: Pairwise Comparison Of Matrix Analysismentioning

confidence: 99%