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DC Field | Value | Language |
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dc.contributor.author | Tazin, Jannatul Esha | - |
dc.contributor.author | Uddin, Mohammad Nasir | - |
dc.contributor.author | Mondal, Shuvra | - |
dc.date.accessioned | 2024-09-11T11:54:23Z | - |
dc.date.available | 2024-09-11T11:54:23Z | - |
dc.date.issued | 2024-07-15 | - |
dc.identifier.issn | 2673-0014 | - |
dc.identifier.uri | http://dspace.aiub.edu:8080/jspui/handle/123456789/2377 | - |
dc.description.abstract | The goal of the current study was to use a GIS analysis of the Mymensingh division to place municipal solid waste to energy conversion facilities in the optimal location. A geographic information system (GIS) is used to identify appropriate locations and weed out unsuitable ones that produce a land suitability map (LSM). The relative preferences of environmental, social, and economic aspects are assessed using a multicriteria decision analysis (MCDA) based on an analytical hierarchy process (AHP). Overall, this study measures the MSW potential, examines geographic locations for the dispersed MSW feedstock, chooses the most suitable locations for W2VA facilities throughout the Mymensingh division in Bangladesh, and prioritizes these locations. Furthermore, the GIS-MCDA model provided might benefit local governments' waste management efforts, if necessary, adjustments were made to consider more pertinent exclusion and preference criteria, as well as their interactions concerning tradeoffs. Keywords: Analytic Hierarchy Process, | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | PKP / PS | en_US |
dc.subject | Analytic Hierarchy Process | en_US |
dc.subject | Geographic Information System | en_US |
dc.subject | Land Suitability Map | en_US |
dc.subject | Municipal Solid Waste | en_US |
dc.title | Optimal Locations of Municipal Solid Waste-to-Value-Added Conversion Facilities Using GIS Analysis: A Case Study in Mymensingh Division, Bangladesh | en_US |
dc.type | Article | en_US |
Appears in Collections: | Publications From Faculty of Engineering |
Files in This Item:
File | Description | Size | Format | |
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Dr. Shuvra_IJG2024.docx | Dr. Shuvra IJG 2024 Q3 | 3.39 MB | Microsoft Word XML | View/Open |
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