Literature DB >> 21353519

A model for quantifying construction waste in projects according to the European waste list.

C Llatas1.   

Abstract

The new EU challenge is to recover 70% by weight of C&D waste in 2020. Literature reveals that one major barrier is the lack of data. Therefore, this paper presents a model which allows technicians to estimate C&D waste during the design stage in order to promote prevention and recovery. The types and quantities of CW are estimated and managed according to EU guidelines, by building elements and specifically for each project. The model would allow detection of the source of the waste and to adopt other alternative procedures which delete hazardous waste and reduce CW. Likewise, it develops a systematic structure of the construction process, a waste classification system and some analytical expressions which are based on factors. These factors depend on technology and represent a standard on site. It would allow to develop a database of waste anywhere. A Spanish case study is covered. Factors were obtained by studying over 20 dwellings. The source and types of packaging waste, remains, soil and hazardous waste were estimated in detail and were compared with other studies. Results reveal that the model can be implemented in projects and the chances of reducing and recovery C&D waste could be increased, well above the EU challenge.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21353519     DOI: 10.1016/j.wasman.2011.01.023

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  6 in total

1.  Evaluating the performance and intellectual structure of construction and demolition waste research during 2000-2016.

Authors:  Yanli Liu; Tiantian Sun; Lie Yang
Journal:  Environ Sci Pollut Res Int       Date:  2017-06-30       Impact factor: 4.223

2.  Characterizing the environmental impact of metals in construction and demolition waste.

Authors:  Danfeng Yu; Huabo Duan; Qingbin Song; Xiaoyue Li; Hao Zhang; Hui Zhang; Yicheng Liu; Weijun Shen; Jinben Wang
Journal:  Environ Sci Pollut Res Int       Date:  2018-03-06       Impact factor: 4.223

3.  Development of a Prediction Model for Demolition Waste Generation Using a Random Forest Algorithm Based on Small DataSets.

Authors:  Gi-Wook Cha; Hyeun Jun Moon; Young-Min Kim; Won-Hwa Hong; Jung-Ha Hwang; Won-Jun Park; Young-Chan Kim
Journal:  Int J Environ Res Public Health       Date:  2020-09-24       Impact factor: 3.390

4.  Life Cycle Assessment of Construction and Demolition Waste from Railway Engineering Projects.

Authors:  Jianling Huang; Yang Yin; Lei Zheng; Sibo Zhang; Qingyun Zhao; Huihua Chen
Journal:  Comput Intell Neurosci       Date:  2022-04-28

5.  Managerial Areas of Construction and Demolition Waste: A Scientometric Review.

Authors:  Jianguo Chen; Yangyue Su; Hongyun Si; Jindao Chen
Journal:  Int J Environ Res Public Health       Date:  2018-10-24       Impact factor: 3.390

6.  Analysis of Waste Generation Characteristics during New Apartment Construction-Considering the Construction Phase.

Authors:  Young-Chan Kim; Yuan-Long Zhang; Won-Jun Park; Gi-Wook Cha; Jung-Wan Kim; Won-Hwa Hong
Journal:  Int J Environ Res Public Health       Date:  2019-09-19       Impact factor: 3.390

  6 in total

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