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Model of Municipal Solid Waste Source Separation Activity: A Case Study of Beijing

机译:城市固体废物源头分类活动模型-以北京为例

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摘要

One major challenge faced by Beijing is dealing with the enormous amount of municipal solid waste (MSW) generated, which contains a high percentage of food waste. Source separation is considered an effective means of reducing waste and enhancing recycling. However, few studies have focused on quantification of the mechanism of source separation activity. Therefore, this study was conducted to establish a mathematical model of source separation activity (MSSA) that correlates the source separation ratio with the following parameters: separation facilities, awareness, separation transportation, participation atmosphere, environmental profit, sense of honor, and economic profit. The MSSA consisted of two equations, one related to the behavior generation stage and one related to the behavior stability stage. The source separation ratios of the residential community, office building, and primary and middle school were calculated using the MSSA. Data for analysis were obtained from a 1-yr investigation and a questionnaire conducted at 128 MSW clusters around Beijing. The results revealed that office buildings had an initial separation ratio of 80% and a stable separation ratio of 65.86%, whereas residential communities and primary and middle schools did not have a stable separation ratio. The MSSA curve took on two shapes. In addition, internal motivations and the separation transportation ratio were found to be key parameters of the MSSA. This model can be utilized for other cities and countries.
机译:北京面临的一个主要挑战是如何处理产生的大量城市固体废物,其中含有很高比例的食物垃圾。源头分离被认为是减少浪费和加强回收利用的有效手段。但是,很少有研究集中在量化源分离活动的机制上。因此,本研究旨在建立源头分离活动(MSSA)的数学模型,该模型将源头分离率与以下参数相关联:分离设施,意识,分离运输,参与气氛,环境收益,荣誉感和经济收益。 MSSA由两个方程组成,一个方程与行为生成阶段有关,一个方程与行为稳定阶段有关。使用MSSA计算居民区,办公楼以及中小学的源头分离率。用于分析的数据来自一年的调查和在北京周围128个城市生活垃圾群集中进行的问卷调查。结果显示,办公楼的初始分离率为80%,稳定的分离率为65.86%,而住宅社区和中小学的分离率则不稳定。 MSSA曲线呈两种形状。此外,内部动机和分离运输比例是MSSA的关键参数。该模型可以用于其他城市和国家。

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    Department of Environmental Engineering, Peking University, The Key Laboratory of Water and Sediment Sciences, Ministry of Education, Beijing, People's Republic of China;

    Department of Environmental Engineering, Peking University, The Key Laboratory of Water and Sediment Sciences, Ministry of Education, Beijing, People's Republic of China;

    No. 5, Yi Heyuan Road, Haidain District, Department of Environmental Engineering, Peking University, Beijing, 100871, People's Republic of China;

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