Literature DB >> 24289016

[Optimization for MSW logistics of new Xicheng and new Dongcheng districts in Beijing based on the maximum capacity of transfer stations].

Jing Yuan1, Guo-xue Li, Hong-yu Zhang, Yi-ming Luo.   

Abstract

It is necessary to achieve the optimization for MSW logistics based on the new Xicheng (combining the former Xicheng and the former Xuanwu districts) and the new Dongcheng (combining the former Dongcheng and the former Chongwen districts) districts of Beijing. Based on the analysis of current MSW logistics system, transfer station's processing capacity and the terminal treatment facilities' conditions of the four former districts and other districts, a MSW logistics system was built by GIS methods considering transregional treatment. This article analyzes the MSW material balance of current and new logistics systems. Results show that the optimization scheme could reduce the MSW collection distance of the new Xicheng and the new Dongcheng by 9.3 x 10(5) km x a(-1), reduced by 10% compared with current logistics. Under the new logistics solution, considering transregional treatment, can reduce landfill treatment of untreated MSW about 28.3%. If the construction of three incineration plants finished based on the new logistics, the system's optimal ratio of incineration: biochemical treatment: landfill can reach 3.8 : 4.5 : 1.7 compared with 1 : 4.8 : 4.2, which is the ratio of current MSW logistics. The ratio of the amount of incineration: biochemical treatment: landfill approximately reach 4 : 3 : 3 which is the target for 2015. The research results are benefit in increasing MSW utilization and reduction rate of the new Dongcheng and Xicheng districts and nearby districts.

Mesh:

Year:  2013        PMID: 24289016

Source DB:  PubMed          Journal:  Huan Jing Ke Xue        ISSN: 0250-3301


  1 in total

1.  Optimization of Municipal Waste Collection Routing: Impact of Industry 4.0 Technologies on Environmental Awareness and Sustainability.

Authors:  Tamás Bányai; Péter Tamás; Béla Illés; Živilė Stankevičiūtė; Ágota Bányai
Journal:  Int J Environ Res Public Health       Date:  2019-02-21       Impact factor: 3.390

  1 in total

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