Abstract:Solid waste disposal is one of the challenging components in integrated solid waste management. Particularly the problem is prominent in cities with rapid population growth and waste generation. Harar, a capital city of Harari regional state located in the eastern part of Ethiopia, covers an area of 19.5 km2 and has a total population of 270 000. Despite the fastest population growth of the city, it doesn’t have a landfill site to accommodate the waste generated and open dumping is in full practice. As an inte… Show more
“…However, vegetation which constitutes about 14% of the LULC is marginally suitable as shown in Table 6. Although vegetation is marginally suitable, agricultural lands, grasslands, and forest zones are examples of productive land areas that should be avoided when siting WtE facility [37]. [10] stressed that in order to mitigate the adverse impact such as odour, noise and emissions, power plants should be sited at longer distance from sensitive land uses.…”
Section: Weighting Of the Criteria For Siting Wte Facilitymentioning
Onitsha North Local Government Area (LGA) in Anambra State is an industrial and commercial city in south eastern Nigeria that is currently facing serious environmental problems resulting from poor solid waste management system. Also, the city is experiencing poor electricity supply at a time of increasing energy demand for domestic and industrial activities. The rate of solid waste generation in the city has increased with rapid urbanisation, population growth and economic expansion. Exploiting the energy potentials of the huge amount of waste generated in the area through Waste to Energy (WtE) technology is an efficient and sustainable waste management strategy that can be deployed in order to boost the energy supply mix in the area. However, the viability of WtE adoption has not been investigated in the study area. As a first and critical step in that direction, this study combined Geographic Information System (GIS) and Multicriteria Decision Analysis (MCDA) techniques to identify suitable sites for WtE facility in Onitsha North with a view to determining the viability of adopting WtE in the area. The factors used for multicriteria evaluation are Land use/Land cover, distance from road, distance from surface water, distance from existing dumpsite and slope. The Analytic Hierarchy Process (AHP) was used to assign relative weights to these factors. The Weighted Overlay method was used to integrate these factors in ArcGIS environment to produce suitability map for WtE facility in the study area. Results showed that less than 1% and 77% of the study area were found to be moderately suitable and marginally suitable respectively for siting WtE facility; while 21% and 0.33% of the study area were found to be less suitable and not suitable respectively. The study has provided the basic information required for harnessing waste energy potential for sustainable development in Onitsha North. The waste energy potentials can be exploited to provide alternative energy source for industrialisation and economic activities in the area. The WtE will also serve as an alternative efficient waste management strategy in the study area. The combination of GIS and MCDA techniques has proven to be efficient in site suitability analysis, hence it can be applied in solving multicriteria decision problems.
“…However, vegetation which constitutes about 14% of the LULC is marginally suitable as shown in Table 6. Although vegetation is marginally suitable, agricultural lands, grasslands, and forest zones are examples of productive land areas that should be avoided when siting WtE facility [37]. [10] stressed that in order to mitigate the adverse impact such as odour, noise and emissions, power plants should be sited at longer distance from sensitive land uses.…”
Section: Weighting Of the Criteria For Siting Wte Facilitymentioning
Onitsha North Local Government Area (LGA) in Anambra State is an industrial and commercial city in south eastern Nigeria that is currently facing serious environmental problems resulting from poor solid waste management system. Also, the city is experiencing poor electricity supply at a time of increasing energy demand for domestic and industrial activities. The rate of solid waste generation in the city has increased with rapid urbanisation, population growth and economic expansion. Exploiting the energy potentials of the huge amount of waste generated in the area through Waste to Energy (WtE) technology is an efficient and sustainable waste management strategy that can be deployed in order to boost the energy supply mix in the area. However, the viability of WtE adoption has not been investigated in the study area. As a first and critical step in that direction, this study combined Geographic Information System (GIS) and Multicriteria Decision Analysis (MCDA) techniques to identify suitable sites for WtE facility in Onitsha North with a view to determining the viability of adopting WtE in the area. The factors used for multicriteria evaluation are Land use/Land cover, distance from road, distance from surface water, distance from existing dumpsite and slope. The Analytic Hierarchy Process (AHP) was used to assign relative weights to these factors. The Weighted Overlay method was used to integrate these factors in ArcGIS environment to produce suitability map for WtE facility in the study area. Results showed that less than 1% and 77% of the study area were found to be moderately suitable and marginally suitable respectively for siting WtE facility; while 21% and 0.33% of the study area were found to be less suitable and not suitable respectively. The study has provided the basic information required for harnessing waste energy potential for sustainable development in Onitsha North. The waste energy potentials can be exploited to provide alternative energy source for industrialisation and economic activities in the area. The WtE will also serve as an alternative efficient waste management strategy in the study area. The combination of GIS and MCDA techniques has proven to be efficient in site suitability analysis, hence it can be applied in solving multicriteria decision problems.
“…Multi-criteria coupled with GIS have recently become popular in SWM for assessing conflicting criteria. Asefa et al [41] used GIS in combination with the multicriteria decision-making method and the analytical hierarchy process to find the best landfill location by balancing competing environmental and socioeconomic concerns. In addition, Rahimi et al [42] used GIS techniques and fuzzy Multi-Criteria Decision-Making methods in landfill site selection problems, where the criteria weights are determined using the group fuzzy Best-Worst Method, suitability maps are generated using GIS analysis, and the sites are analyzed and ranked using the group fuzzy MULTIMOORA method.…”
Section: Role Of Gis In Swmmentioning
confidence: 99%
“…The basics and principles of GIS-based MCDA have been discussed in previous sections, so in this section, an overview of how GIS can be applied to landfill suitability analysis is presented. Figure 3 depicts the methodology for adopting GIS, MCDA, and waste Framework of the study to select a suitable sanitary landfill site, adopted from [41].…”
Section: Application Of Gis In Waste Disposal Planningmentioning
The application of geographic information systems (GIS) to solid waste management (SWM) has been widely adopted in many cities around the world. Planning a sustainable waste management approach is complex, tedious, and time-consuming, and decision-makers are frequently subjected to conflicting factors. GIS has a crucial role in simplifying and facilitating the implementation of sustainable SWM. It is a powerful tool that can assist in minimizing value conflicts among preference and interest parties by providing better information. In this chapter, the basic principles of how GIS is utilized in SWM planning are discussed. The first few sections deal with sustainable SWM planning, its challenges, and problems with the poor performance of its planning. Furthermore, the principles of GIS, how it evolved in SWM, and its integration with multi-criteria evaluation were discussed. The final sections deal with the application of GIS in waste collection optimization and waste disposal planning. The primary aim of this chapter is, therefore, to aid decision-makers in the field so that they can apply it to the daily challenges of SWM.
“…In the present study, a geographic information system (GIS) and an analytical hierarchy process (AHP) multi-criteria decision analysis used to choose a landfill location by minimizing conflicting interests. Environmental and socio-economic factors including elevation, slope, geology, lineament, land value, distance from river, roads, residence, and Land use and land cover were weighted in order to create a landfill site, because it gives a logical strategy for selecting a scientific site for an urban solid waste dump (Asefa et al 2021). Hence, the study about Suitable landfill site selection for waste management in Siliguri Municipal Corporation Planning Area is done by following GISbased MCDA technique.…”
Identification of suitable landfill sites for urban wastes with ease and economic benefits in the metropolitan area is a complex task. Most of the developing countries consider wastelands outside of the urban areas are the ideal places to dispose of urban wastes. Landfill site selection is an essential planning procedure that helps to avoid environmental concerns such as water contamination, public health degradation caused by unsanitary landfills. So, employing a geographic information system (GIS) and multi-criteria decision analysis (MCDA), this study was carried out to find an appropriate planning waste dump site. Nine thematic layers were evaluated as key criteria, including elevation, slope, geology, lineament, land value, distance from river, roads, residence, and Land use and land cover (LULC) weights assigned using Analytical Hierarchical Process (AHP) method analysis. The relative relevance of each parameter was calculated using Saaty’s 1 to 9 priority scale. The consistency ratio was used to check the weighting of each parameter, allowing the efficiency of the chosen parameters to be justified. The overlay analysis of all parameters with aid of GIS provides suitable sites that were marked and refined after the comprehensive field visits were performed. According to the findings, in the study area, 35.61% area is very low suitable for landfilling, 32.64% area is low suitable, 19.37% area is moderate suitable, 8.90% area is highly suitable and certainly, 3.48% area is very high suitable by Natural breaks classification. The very high suitable site belongs to Dhadagoch, Gadheaganj, and its surroundings in the study area. Nevertheless, the present study can help urban planners and concerned authorities to better succeed in urban waste management in the Siliguri municipal corporation planning area.
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