A GIS–AHP-based approach in siting MSW landfills in Lokoja, Nigeria

Abstract

The acute shortage and scarcity of lands for suitable waste disposal is rapidly becoming a critical growing potential problem in most urban cities in developing countries of the world, and several fast-growing cities in Nigeria are not exempted from this menace. In this study, geographic information system (GIS) and analytic hierarchy process (AHP) are combined to select the most suitable landfill location in Lokoja, Nigeria. The landfill site selection criteria considered include proximity to major road, powerline, water body, landfill areas and built-up area. GIS was used to digitize spatial features related to unsuitable landfill site. A total of 19 candidate landfill sites were identified from GIS analysis. AHP model was developed from the GIS result as multi-criteria decision tool in evaluating each candidate site so as to choose the best appropriate landfill site. AHP model rated candidate site 11 located along Jimgbe road has the most preferable site to locate a landfill in Lokoja with an approximate area of 3.4204 km 2 ; the distance from the minor road, nearest water body, powerline and built-up areas to the location is 210.50 m, 1408.20 m, 1810.80 m and 205.61 m, respectively. Also, the model rated candidate site 16 located along 500 housing units as the least preferable site to locate a landfill in Lokoja. The characteristic features of the site location as obtained from GIS analysis include an approximate area of 2.5680 km 2 at an approximate distance of 2430.75 m, 594.04 m, 1980 m and 200.68 m from the major road, water body, powerline and built-up areas, respectively. This result will greatly serve as guide in landfill site selection in major urban states of other developing countries.

Optimum location for landfills landfill site selection using GIS technique: Al-Naja city as a case study

“…The presented approach assists decision-makers in selecting reliable locations for the safe disposal of MSW Santosh & Sivakumar Babu, 2018). In their study, Adewumi et al (2019) implemented the GIS and the analytic hierarchy process (AHP) to select the most suitable landfill location in Lokoja, Nigeria. The result will greatly serve as a guide in landfill site selection in major urban states of other developing countries (Adewumi et al, 2019).…”

“…In their study, Adewumi et al (2019) implemented the GIS and the analytic hierarchy process (AHP) to select the most suitable landfill location in Lokoja, Nigeria. The result will greatly serve as a guide in landfill site selection in major urban states of other developing countries (Adewumi et al, 2019). Agrawal et al (2020) carried out a study to select a candidate landfill site for the city of Sultanpur using GIS and AHP.…”

A GIS-AHP Based Approach for Optimal Quarry Site Location Around Harer and Dire-Dawa Towns, Eastern Ethiopia

“…Once the hierarchy has been established, a pair wise comparison matrix of each element within each level is constructed. This pair-wise comparison permits for an independent rating of each factor's contribution, which therefore simplify the decision-making process (Adewumi et al 2019). The eigenvalue of the comparison matrix gave the relative importance of the criteria being compared.…”

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

“…RS plays a vital role in providing spatial thematic information including LULC, drainage, slopes, elevations, among others (Emun, 2010;Mussa & Suryabhagavan, 2019). Similarly, multi-criteria decision analysis (MCDA) based on Analytical Hierarchy Process (AHP) technique is extensively engaged to combine socio-economic, environmental, and technical aspects in analysing complex spatial related problems involving conflicting criteria (Adewumi et al, 2019;Ghanbarpour et al, 2013;Hwang & Lin, 2012) and is revealed as the most appropriate method for site selection (Coban et al, 2018;Ersoy & Bulut, 2009;Mutluturk & Karaguzel, 2007;Ş ener et al, 2010;Simsek et al, 2006;Yesilnacar & Cetin, 2008). The integration of GIS and the AHP technique has been a more powerful instrument to solve landfill selection problems (Allen et al, 2003;Ş ener et al, 2006).…”