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Sustainability
Article . 2024 . Peer-reviewed
License: CC BY
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Sustainability
Article . 2024
Data sources: DOAJ
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Multi-Factor GIS Modeling for Solid Waste Dumpsite Selection in Lilongwe, Malawi

Authors: Stephen Mandiza Kalisha; Kondwani Godwin Munthali;

Multi-Factor GIS Modeling for Solid Waste Dumpsite Selection in Lilongwe, Malawi

Abstract

Solid waste disposal is an essential component of any waste management system, but finding suitable solid waste disposal sites is seen as the main challenge. The goal of this study was to locate solid waste disposal facilities in Lilongwe that would not present logistical or operational difficulties. We used a hybrid approach involving qualitative and quantitative methods. Primary and secondary data were collected, through interviews, questionnaires, and GPS for coordinates. The study considered 10 suitability factors of slopes, rivers, soil types, built-up areas, airports, forests, wetlands, current dumpsites, roads, and railways weighted using the analytic hierarchy process (AHP). We analyzed site selection techniques, evaluated the current dumpsite, and created a multi-factor geographic information system (GIS) model. This study found that the current dumpsite is dangerous for human health and is close to homes. Additionally, this research reveals that the most popular techniques for choosing the location of a solid waste disposal facility are the AHP and weighted linear combination (WLC) coupled with GIS. Out of 46,283 Ha in Lilongwe, 84.07% are unsuitable, 14.97% are suitable, and 0.96% are highly suitable for solid waste disposal sites. Six sites with capacities ranging from 28 Ha to 94 Ha were identified as optimal to reduce operational costs in areas 55, 44, 58, and 61. Further waste recycling initiatives are recommended to reduce solid waste volume and promote sustainable waste management practices.

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Keywords

Environmental effects of industries and plants, TJ807-830, modeling, dumpsites, sustainability, TD194-195, multi-factor, site selection, Renewable energy sources, Environmental sciences, solid waste, GE1-350

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
gold