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Title:	Multi-criteria analysis for sustainable solid waste management in Nasiriyah City, Iraq
Authors:	Aljaberi Mahmood Jamal Abdulhasan (P88736)
Supervisor:	Marlia Mohd. Hanafiah, Assoc. Prof. Dr.
Keywords:	Solid waste management -- Iraq Universiti Kebangsaan Malaysia -- Dissertations Dissertations, Academic -- Malaysia
Issue Date:	19-Nov-2020
Description:	The increasing population has resulted to unprescedented accumulation of large amount of wastes in most local and urban communities in Nasiriyah city of Iraq. Since managing solid waste is one of the major challenges of urbanization especially in developing countries, an assessment tool needs to be applied to manage solid waste in a sustainable way. The integration of multi-criteria analysis is considered as a veritable tool for the sustainability assessment of a solid waste management model. Thus, this study aimed: i) to determine the physio-chemical characteristics of soil, surface and groundwater samples from solid waste disposal site at Nasiriyah city, Iraq; ii) to identify the most suitable solid waste disposal site using the geographical information system (GIS), remote sensing and the multi-criteria decision-making (MCDM) techniques; iii) to assess the residents' level of awareness and knowledge of solid waste management, and iv) to design machine learning systems for categorizing and isolating waste materials for recycling purposes. The physio-chemical characteristics of the soil revealed the deteriorating condition of the soil quality at the landfill site due to pollutants produced by solid waste. The results of the analysis indicated that lead (Pb) exhibited high concentration in both surface and groundwater which exceeded the permissible limit as set by World Health Organization (WHO). The suitability of the solid waste site location was determined by fuzzy logic and AHP-based multi-criteria decision-making analysis using GIS and remote sensing data. The map layers were prepared using GIS and remote sensing covering twelve criteria for the determination of suitable areas for solid waste disposal sites. The result shows that AHP, Fuzzy logic and GIS can be integrated for solid waste site selection at Nasiriyah city, Iraq. of the level of awareness and knowledge of the local communities in terms of the management of solid waste was determined with2000 respondents randomly selected from 12 suburbs of Nasiriyah. A descriptive cross-sectional analysis among local communities was performed and analyzed using SPSS® software. Results from the survey showed that 67% of respondents were dissatisfied with the current practice of solid waste management in Nasiriyah, Iraq. The results also showed that a low level of knowledge on laws and regulations about on solid waste was observed among the selected respondents. Although half of the respondents were aware of the importance of managing solid waste, most of them failed to put their knowledge and awareness into practice. Two machine learning systems (Histogram of Oriented Gradients-Principal Component Analysis (HOG-PCA) and Local Binary Patterns (LBP)) were designed for the categorization and isolation of waste materials for recycling purposes. The Optimized Genetic Algorithm-Extreme Learning Machine (OGA-ELM) was used as a classifier. Both systems were assessed based on the dataset provided by the municipality of Nasiriyah city, Iraq. The performance of both systems were then compared and the highest accuracy was achieved by the HOG-PCA with 547 dimension-OGA-ELM (96.74%), HOG-PCA with 59 dimension-OGA-ELM (94.02%), and LBP-OGA-ELM (88.32%. It can be concluded that the multi-criteria analysis provided alternatives to support the decision-making process for a sustainable solid waste management in Nasiriyah city of Iraq.,Ph.D
Pages:	149
Publisher:	UKM, Bangi
Appears in Collections:	Faculty of Science and Technology / Fakulti Sains dan Teknologi

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