GIS- and MCD-based suitability assessment for optimized location of solid waste landfills in Dar es Salaam, Tanzania

Kazuva, Emmanuel; Zhang, Jiquan; Tong, Zhijun; Liu, Xingpeng; Memon, Shumaila; Mhache, Emmanuel Patroba

doi:10.1007/s11356-020-11213-0

Cited by 34 publications

(31 citation statements)

References 51 publications

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“…Different influencing criteria from various disciplines including proximity from built-up, surface water, episodic water channels, boreholes, sensitive sites, protected areas, major faults, LULC, lithology/geology, soil type, elevation, slopes, proximity from airport, roads, railway, and earthquake epicentres are integrated into this study. These influencing criteria have been employed in various landfills siting studies elsewhere but in different combinations (Hazarika & Saikia, 2020;Kazuva et al, 2020;Ö zkan et al, 2020;Rezaeisabzevar et al, 2020;Sisay et al, 2020). However, these criteria apply differently to different areas (Babalola & Busu, 2011;Sadek et al, 2006).…”

Section: Discussionmentioning

confidence: 99%

“…Higher elevated areas are unsuitable for locating landfills, this is to avoid construction expenses. This criterion is widely used in various studies worldwide (Kazuva et al, 2020;Torabi-Kaveh et al, 2016;Wang et al, 2009). In this study elevation ranging from (919 -1051 m), (1051-1114 m), (1114-1203 m), (1203-1451 m), and greater than 1451 m were determined and ranked as highly suitable, suitable, moderately suitable, less suitable and unsuitable respectively (Fig.…”

Section: Elevation Suitabilitymentioning

confidence: 99%

“…In Tanzania, the dusting of solid waste in informal open dumpsite threatens human health and the environment (Huisman et al, 2016;Yhdego, 2017). Several studies on solid waste management have been carried out within the country including (Huisman et al, 2016;Kazuva et al, 2020;Yhdego, 2017) and in Dodoma city (Katura, 2013;Mussa, 2015;Nyampundu et al, 2020) on improved solid waste management practises and (Lyimo et al, 2020) involving spatial aspects. The current study assimilates an extensive coverage including Dodoma city and some parts of Chamwino district which host essential central government and other agencies' offices, fifteen influencing criteria are incorporated to increase the chances of attaining the most suitable landfill sites and prioritize determined sites basing on their sizes and distances from residential areas to scale down the uncertainty of choosing the most highly suitable site which is still indefinite.…”

Section: Introductionmentioning

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: Discussionmentioning

confidence: 99%

Section: Elevation Suitabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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“…This problem requires decision-makers to use a practical and effective method for assessing land suitability. To solve such spatial problems, GIS has been successfully used as a tool to assist decision-makers in the land suitability of the various activities [25][26][27][28][29]. Various factors contribute to selecting an appropriate location for an FS in EIA study in countries where EIA is a prerequisite for approval.…”

Section: Introductionmentioning

confidence: 99%

Environmental Impact Assessment (EIA) Using Geographical Information System (GIS): An Integrated Land Suitability Analysis of Filling Stations

et al. 2021

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A stable methodology for conserving the natural environment has been a concern for developing countries. The fast-paced growth of urbanization generated significant demand for automobiles, leading to greater utilization of fuel. The consumption of fuel is fulfilled by the Filling Station (FS). An FS is undoubtedly an important facility, but it is reported that it has high potential for degradation of natural resources, pollution problems, environmental degradation, and hydrological, geological, and socio-economic hazards, and therefore the site selection of such facilities is an essential problem. The traditional approach utilizes EIA assessments and GIS separately and existing models lacks integration. Thus, this study provides an integrated GIS-based land suitability modeling using EIA assessments, and the Analytic Hierarchy Process (AHP) has been used as key land use feature prioritization for the appropriate selection of FS locations. A case study is also carried out to assess the precision of the suggested model. The findings indicate that more than 73% of the present FS are in the acceptable region, while 27% of the FS are not in the adequate region using the local code. Furthermore, 58% of the present FS are in the acceptable region, while 42% of current FS are not in the adequate region using the international code. The findings of the comparative code analysis show a difference in the codes. The international code looks safer compared to the local code because it has higher buffer distances. This model will assist decision-makers in making better decisions for such land suitability problems for filling stations, and this model can also be extended to other facilities by some modifications in the filters and data layers of the model.

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Residents’ Perception Towards Environmental Impact of Municipal Solid Waste Disposal and Suitability Analysis for Landfill Site Selection Using Geospatial Technique: A Case Study in Ranaghat Municipality, West Bengal

Ghosh

Mukhopadhyay²

2023

Environmental Management and Sustainability in India

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GIS- and MCD-based suitability assessment for optimized location of solid waste landfills in Dar es Salaam, Tanzania

Cited by 34 publications

References 51 publications

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

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

Environmental Impact Assessment (EIA) Using Geographical Information System (GIS): An Integrated Land Suitability Analysis of Filling Stations

Residents’ Perception Towards Environmental Impact of Municipal Solid Waste Disposal and Suitability Analysis for Landfill Site Selection Using Geospatial Technique: A Case Study in Ranaghat Municipality, West Bengal

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