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上海市电子废弃物产生量预测与回收网络建立 被引量:29

Estimation of waste electrical and electronic equipment(WEEE) generation and establishment of a recovery network in Shanghai
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摘要 以上海市为例,利用无容量限制的设施选址模型(UFCLP模型)建立了上海市电子废弃物(WEEE)回收网络,同时,为获得模型求解所需数据,根据1991~2012年的销售量对上海市2010~2017年彩电、冰箱、洗衣机、空调和电脑的废弃量进行了预测.结果表明,5种电子产品的总废弃量会从2010年的269.49×104台增至2017年的635.75×104台.最后,依据区域GDP、人口密度和区域面积等多因素对电子废弃物空间分布量进行了预测,并以此为基础选取了214个回收站候选点,使用SITATION软件对UFCLP模型进行求解,最终确定10个点作为拟建回收点,可实现未来上海市约76%的电子废弃物回收.该网络的建立对长三角地区和全国大中型城市电子废弃物回收都具有良好的示范作用. The Uncapacitated Facility Location Problem (UFCLP) Model was used to establish a model of a waste electrical and electronic equipment (WEEE) recovery network in Shanghai. In order to get the basic data needed to solve the UFCLP model,obsolete volumes of color TVs,refrigerators,washing machines,air conditioners and PCs in Shanghai were estimated. The total volume of the 5 items may increase from 2.69 million units in 2010 to 6.35 million units in 2017. Altogether,214 sites were selected as candidate locations based on the GDP,population density and area,and 10 sites were chosen through running of UFCLP Model,the model was solved and the resulted in map by software SITATION. Around 76% WEEE in Shanghai can be collected through successful implementation of the network. The establishment of the network is an example for the Yangtze River Delta Area and even for the large and medium-sized cities all over the country.
出处 《环境科学学报》 CAS CSCD 北大核心 2010年第5期1115-1120,共6页 Acta Scientiae Circumstantiae
基金 国家支撑计划项目(No.2008BAC46B02) 上海市科技支撑计划(No.09dz1204402) 上海市科委创新行动计划(No.07dz12029)~~
关键词 电子废弃物(WEEE) 回收网络 预测 UFCLP模型 SITATION软件 WEEE recovery network estimation UFCLP model SITATION
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  • 1达庆利,黄祖庆,张钦.逆向物流系统结构研究的现状及展望[J].中国管理科学,2004,12(1):131-138. 被引量:379
  • 2Long Hei (Institute of Computational Mathematics and Scientific/Engineering Computing, Academy ofMathematics and Systems Sciences, Chinese Academy of Sciences, Beijing 100080, China)(Department of Industrial Engineering and Management Sciences Northwestern University C2SO,2145 Sheridan Road Evanston, Illinois 60208, USA).A SELF-ADAPTIVE TRUST REGION ALGORITHM[J].Journal of Computational Mathematics,2003,21(2):229-236. 被引量:30
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