Effective waste management has been greatly restricted by insufficient statistical data on the generation, processing and waste disposal. This study was undertaken in the municipality of Tehran. A total of 6,060 samples were compared by statistically comparing source generation, destination and intermediate stations. The results from these analyses showed that the average per capita waste generation in Tehran was 589 g day(-1). It was also observed that, of the total amount of waste generated in the municipality of Tehran, 73% was domestic waste and 27% was non-domestic waste. In addition, 68% of total household waste was organic waste, while 41% of non-domestic waste was organic waste. Furthermore, 61% of waste in Tehran was generated at the source, while 72% of the waste coming into the Aradkoh disposal and processing center was organic waste. The physical analysis was showed that there was no significant difference between the wastes generated in 2004 and those generated in 2009 and that there was not equal percentage of wet waste coming into the disposal center with urban service stations. This indicates that active source separation programs in metropolitan Tehran.
Matched MeSH terms: Waste Management/statistics & numerical data
This paper examines the factors that might influence recycling behaviour of the households in Dhaka city, Bangladesh. Information on recycling activity, socio-economic characteristics, and attitudes of the households towards recycling were obtained from interviews with 456 households in Dhaka. Logistic regression analysis was used to determine the dominant factors that might influence the recycling behaviour of the households. The results showed that environmental consciousness, the availability of storage space, and age (25-35 years) are significant positive predictors of recycling behaviour (at the 1% level). Another variable Income 2 (TK3,000-15,000) is also positively correlated with recycling (at the 5% level). Establishment of a recycling programme could be an effective strategy in implementing sustainable waste management in Bangladesh. For this strategy to succeed, however, active partnership between households and the waste management service department is required. The households' attitudes toward recycling should, therefore, be taken into consideration as should the results of this study, which are important indicators of households' positive attitudes toward sustainable waste management in Dhaka.
Construction and demolition waste continues to sharply increase in step with the economic growth of less developed countries. Though the construction industry is large, it is composed of small firms with individual waste management practices, often leading to the deleterious environmental outcomes. Quantifying construction and demolition waste generation allows policy makers and stakeholders to understand the true internal and external costs of construction, providing a necessary foundation for waste management planning that may overcome deleterious environmental outcomes and may be both economically and environmentally optimal. This study offers a theoretical method for estimating the construction and demolition project waste generation rate by utilising available data, including waste disposal truck size and number, and waste volume and composition. This method is proposed as a less burdensome and more broadly applicable alternative, in contrast to waste estimation by on-site hand sorting and weighing. The developed method is applied to 11 projects across Malaysia as the case study. This study quantifies waste generation rate and illustrates the construction method in influencing the waste generation rate, estimating that the conventional construction method has a waste generation rate of 9.88 t 100 m(-2), the mixed-construction method has a waste generation rate of 3.29 t 100 m(-2), and demolition projects have a waste generation rate of 104.28 t 100 m(-2).