Wu Zezhou, Yu Ann T W, Shen Liyin, Liu Guiwen
Department of Building and Real Estate, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China.
Department of Building and Real Estate, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China.
Waste Manag. 2014 Sep;34(9):1683-92. doi: 10.1016/j.wasman.2014.05.010. Epub 2014 Jun 23.
Quantifying construction and demolition (C&D) waste generation is regarded as a prerequisite for the implementation of successful waste management. In literature, various methods have been employed to quantify the C&D waste generation at both regional and project levels. However, an integrated review that systemically describes and analyses all the existing methods has yet to be conducted. To bridge this research gap, an analytical review is conducted. Fifty-seven papers are retrieved based on a set of rigorous procedures. The characteristics of the selected papers are classified according to the following criteria - waste generation activity, estimation level and quantification methodology. Six categories of existing C&D waste quantification methodologies are identified, including site visit method, waste generation rate method, lifetime analysis method, classification system accumulation method, variables modelling method and other particular methods. A critical comparison of the identified methods is given according to their characteristics and implementation constraints. Moreover, a decision tree is proposed for aiding the selection of the most appropriate quantification method in different scenarios. Based on the analytical review, limitations of previous studies and recommendations of potential future research directions are further suggested.
量化建筑与拆除（C&D）废物的产生量被视为成功实施废物管理的前提条件。在文献中，已经采用了各种方法来量化区域和项目层面的建筑与拆除废物产生量。然而，尚未进行系统描述和分析所有现有方法的综合综述。为了弥补这一研究空白，开展了一项分析性综述。通过一套严格的程序检索到57篇论文。所选论文的特征根据以下标准进行分类——废物产生活动、估算水平和量化方法。确定了六类现有的建筑与拆除废物量化方法，包括现场考察法、废物产生率法、生命周期分析法、分类系统累积法、变量建模法和其他特殊方法。根据所确定方法的特征和实施限制进行了批判性比较。此外，还提出了一个决策树，以帮助在不同场景中选择最合适的量化方法。基于分析性综述，进一步指出了先前研究的局限性以及对未来潜在研究方向的建议。
