Determinants of household solid waste generation and composition in Homs City, Syria

M Noufal, L Yuanyuan, Z Maalla… - Journal of environmental …, 2020 - Wiley Online Library
M Noufal, L Yuanyuan, Z Maalla, S Adipah
Journal of environmental and public health, 2020Wiley Online Library
The absence of accurate information on the state of waste is a challenge to the solid waste
management system in Syria. The local authorities commonly estimate the quantity of waste
produced and its characterisation, which is the starting point for solid waste management
planning. So, this paper aims to evaluate the generation and composition of household solid
waste in Homs city, Syria. Also, the study presents factors influencing the waste generation
rate and the waste composition. The study was carried out in 300 families from four zones in …
The absence of accurate information on the state of waste is a challenge to the solid waste management system in Syria. The local authorities commonly estimate the quantity of waste produced and its characterisation, which is the starting point for solid waste management planning. So, this paper aims to evaluate the generation and composition of household solid waste in Homs city, Syria. Also, the study presents factors influencing the waste generation rate and the waste composition. The study was carried out in 300 families from four zones in Homs city, and three sampling stages were conducted during the study duration, which started in July 2017 and ended in February 2019. The outcomes show that an average of 0.68 kg/per/day solid waste generated was calculated for the entire study area in Homs city. Also, the data analysis presents that organic waste constitutes the largest component in the waste mixture (69.1%) followed by plastic (10.6%), inert materials (8.7%), paper (4.6%), textile (2.5%), metal (1.2%), glass (1.1%), wood (0.6%), and hazardous materials (1.6%). The multiple linear regression results showed that the adjusted R2 value was found to be 0.557, 0.839, and 0.709 for the waste generation per capita, the daily household organic waste generation, and the daily household packaging waste generation, respectively. Also, according to Pearson’s coefficient values, a positive correlation was found between household waste generation and monthly income (r = 0.626), household size (r = 0.37), and age of the household head (r = 0.517), whereas a negative correlation was found between household waste generation and the education level of the household head (r = −0.649).
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