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Authors
Affiliations
1 Department of Environmental Technology and Management, Van Lang University, 45 Nguyen Khac Nhu Street, Co Giang Ward, District 1, Ho Chi Minh City, VN
Source
Nature Environment and Pollution Technology, Vol 16, No 2 (2017), Pagination: 351-362
Abstract
Solid waste generation rate plays an important role in calculation and design different elements of a municipal solid waste management system of an urban area. The survey was carried out at 644 households living in 6 selected wards of 6 districts in Ho Chi Minh City (HCMC) that have different population densities to determine generation rates and main composition (food refuses and plastic bags) in domestic solid waste. Composition of household solid waste of HCMC determined from this study will help to develop a model to predict solid waste generation rate in the future. It is also found from the study that, in 2015 household solid waste generation rate of HCMC is 0.41 kg/capita/day (SD = 0.313), food refuse generation rate is 0.23 kg/capita/day, plastic bag generation rate is 0.032 kg/ capita/day, and percentages of food refuses and plastic bags in domestic solid wastes of HCMC are 61.63% and 7.67%, respectively. Statistical data indicate that generation rates of household solid waste, food refuses, and plastic bags are inversely proportional to the number of people in a family and directly proportional to the household income. The rank correlation shows no significance between the household solid waste generation rates and the urbanization levels as well as between household solid waste generation rates and days of a week. A linear regression model proposed to determine generation rates of household solid waste, household food refuse, and household plastic bags shows that household size and household income explain only 14.2% of solid waste generation rate (R2 = 0.142) and 11.9% of plastic bag generation rate (R2 = 0.119). Generation rate of food refuse (within the scope of this study) can only be estimated based on household size (R2 = 0.08).
Keywords
Domestic Solid Waste, Food Refuses, Plastic Bags, Linear Regression Model.
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