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Landfill Site Suitability Assessment Based on GIS and Multicriteria Analysis: A Case Study of Kirkuk City

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Název: Landfill Site Suitability Assessment Based on GIS and Multicriteria Analysis: A Case Study of Kirkuk City
Autoři: Hana Kareem Shekho, Muntadher Aidi Shareef
Zdroj: Al-Kitab Journal for Pure Sciences, Vol 9, Iss 02 (2025)
Informace o vydavateli: International Scholars and Researchers Association, 2025.
Rok vydání: 2025
Témata: Science, Analytic Hierarchy Process (AHP), Kirkuk, Landfill, Geographic Information System (GIS), Convolutional Neural Network (CNN), Multicriteria Analysis
Popis: This study looks at the environmental and socioeconomic aspects of possible landfill locations in Kirkuk City, Iraq, as well as their spatiotemporal appropriateness. This study used different types of data, including Landsat satellite imagery, soil texture, groundwater level, and slope. The Analytic Hierarchy Process (AHP) was utilized for multi-criteria decision analysis of possible landfill sites, linear regression was employed for population projection, and a Convolutional Neural Network (CNN) was utilized for Normalized Difference Vegetation Index (NDVI)/ Normalized Difference Built-up Index (NDBI) prediction. The suitability ratings for prospective dump sites were produced using the AHP-based Geographic Information Index (GIS) techniques. The results reveal that the selection of landfill locations minimizes environmental effects and advances environmentally sound waste management. The technique provides a framework for assessing the appropriateness of dump sites in various geographical areas. Moreover, the projections for the future emphasize Kirkuk City's need for upgraded waste management facilities. Furthermore, urban planners and politicians in Kirkuk City may benefit greatly from this research's data-driven approach to landfill site selection, which takes social and environmental concerns into account and has implications for sustainable waste management techniques.
Druh dokumentu: Article
ISSN: 2617-8141
2617-1260
DOI: 10.32441/kjps.09.02.p9
Přístupová URL adresa: https://doaj.org/article/8605c3ae54ea42419d27fbb7e2b22cb9
Rights: CC BY
Přístupové číslo: edsair.doi.dedup.....22e55d76cfd6434d26356b8a1b70a6e1
Databáze: OpenAIRE
Popis
Abstrakt:This study looks at the environmental and socioeconomic aspects of possible landfill locations in Kirkuk City, Iraq, as well as their spatiotemporal appropriateness. This study used different types of data, including Landsat satellite imagery, soil texture, groundwater level, and slope. The Analytic Hierarchy Process (AHP) was utilized for multi-criteria decision analysis of possible landfill sites, linear regression was employed for population projection, and a Convolutional Neural Network (CNN) was utilized for Normalized Difference Vegetation Index (NDVI)/ Normalized Difference Built-up Index (NDBI) prediction. The suitability ratings for prospective dump sites were produced using the AHP-based Geographic Information Index (GIS) techniques. The results reveal that the selection of landfill locations minimizes environmental effects and advances environmentally sound waste management. The technique provides a framework for assessing the appropriateness of dump sites in various geographical areas. Moreover, the projections for the future emphasize Kirkuk City's need for upgraded waste management facilities. Furthermore, urban planners and politicians in Kirkuk City may benefit greatly from this research's data-driven approach to landfill site selection, which takes social and environmental concerns into account and has implications for sustainable waste management techniques.
ISSN:26178141
26171260
DOI:10.32441/kjps.09.02.p9