Multi-Criteria Decision Analysis of Solid Waste Treatment Methods in Lattakia city

Authors

  • zahraa alhindawee Tishreen University
  • Haytham Shahin Tishreen University
  • Raed JAFAR Tishreen University

Keywords:

Environmental Awareness, Municipal Solid Waste MSW, Multi-Criteria Decision-Making MCDM, Analytic Network Process ANP

Abstract

Lattakia city faces many problems related to the mismanagement of solid waste, as the process of disposal is limited to the random Al-Bassa landfill without treatment. Therefore, solid waste management poses a special challenge to decision makers by choosing the appropriate tool that supports strategic decisions in choosing MSW treatment methods and evaluating their management systems. As the human is primarily responsible for the formation of waste, this study aims to measure the degree of environmental awareness in Lattakia Governorate from the point of view of the research sample members. Data were collected and analyzed using the SPSS.21 statistical package. This study also presents a methodology to find the optimal scenario for solid waste treatment using the Analytic Network Process ANP represented by Super Decisions. The study reached that there is an environmental awareness about the danger of the increasing percentage of environmental pollution, also determined the optimal treatment method for solid waste according to the theory of analytical network, where the biogas production method ranked the first.                                                                                                                                     

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Published

2022-09-15

How to Cite

1.
الهنداوي ز, شاهين ه, جعفر ر. Multi-Criteria Decision Analysis of Solid Waste Treatment Methods in Lattakia city. Tuj-eng [Internet]. 2022Sep.15 [cited 2024Nov.24];44(4):195-213. Available from: https://journal.tishreen.edu.sy/index.php/engscnc/article/view/12597

Issue

Vol. 44 No. 4 (2022): Tishreen University Journal of Research and Scientific Studies - Engineering Sciences Series

Section

Master student researches

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Copyright (c) 2022 ttps://creativecommons.org/licenses/by-nc-sa/4.0/

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