Abstract

As construction waste production inBeijinghas increased significantly, there is an urgent demand to manage and dispose it in a more economical and environmentally-friendly way. As there are different benefits and limits between preliminary sorting/recycling on construction sites and centralized treatment on final disposal sites, three scenarios were formed. AHP was used to compare these scenarios from the aspect of technical feasibility, economic costs and environmental effects. AHP analysis results showed that the priority of three scenarios followed D3>D1>D2, indicating the optimal way for C&D waste in Chaoyang district is firstly going through primary recycling with a mobile treatment facility on the construction site and then transporting to a final disposal site.

Highlights

  • As efforts in Beijing’s reconstruction and new construction of old city and new countryside construction intensify, the quantity of Beijing’s C&D waste is on the increase

  • Even the management of C&D waste is relatively backward in big cities

  • Mobile equipment can be temporarily used on the demolition site for preliminary crushing and screening, unnecessary to transport the C&D waste or accurate data yet on Beijing’s C&D waste recycling rate

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Summary

Introduction

As efforts in Beijing’s reconstruction and new construction of old city and new countryside construction intensify, the quantity of Beijing’s C&D waste is on the increase. According to report, Beijing’s C&D waste discharge amount in 2015 has reached 29.6 million tons, generating about 81,200 tons on average a day. Large quantities of continuously produced C&D waste have become a social issue, which pollutes the environment and bothers Beijing citizens as well [1-4]. The study of C&D waste management in foreign countries is very mature, and the management method has achieved good social and economic benefits in the enterprise [5-11]. Even the management of C&D waste is relatively backward in big cities.

Construction waste recycling and management
Construction waste compositions
Results and discussion
Single ordering weight of technical indicators
Single ordering weight of economic indicators
Single ordering weight of environmental indicators
Upper criterion layer judgment matrix
Target layer judgment matrix
Comparison of scenarios
Conclusions
Full Text
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