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中国城市生活垃圾处理及趋势分析
引用本文:杜吴鹏,高庆先,张恩琛,缪启龙,吴建国.中国城市生活垃圾处理及趋势分析[J].环境科学研究,2006,19(6):115-120.
作者姓名:杜吴鹏  高庆先  张恩琛  缪启龙  吴建国
作者单位:1. 中国科学院,大气物理研究所,北京,100029
2. 中国环境科学研究院,北京,100012
3. 沈阳市环境卫生工程设计研究院,辽宁,沈阳,110013
4. 南京信息工程大学,江苏,南京,210044
摘    要:介绍了城市生活垃圾的主要处理方法及目前中国城市生活垃圾的处理现状,通过实际调研和统计分析表明:中国城市生活垃圾的处理方式主要以填埋为主,占总处理量的95%以上;卫生填埋处理能力较低,处理水平参差不齐,有较大的区域性差异.基于城市生活垃圾清运量与国民经济发展水平、非农业人口数量等驱动因子相关,建立了城市生活垃圾清运量预测模型,并利用该预测模型预测了不同情景下未来中国城市生活垃圾清运量,比较分析了不同模型的预测结果,表明非农业人口预测结果与GDP和人均GDP预测结果有一定的差异,非农业人口预测结果更接近于中国的实际情况.

关 键 词:城市生活垃圾  处理  趋势  预测
文章编号:1001-6929(2006)06-0115-06
收稿时间:2006-06-15
修稿时间:2006-06-15

The Treatment and Trend Analysis of Municipal Solid Waste in China
DU Wu-peng,GAO Qing-xian,ZHANG En-chen,MIAO Qi-long and WU Jian-guo.The Treatment and Trend Analysis of Municipal Solid Waste in China[J].Research of Environmental Sciences,2006,19(6):115-120.
Authors:DU Wu-peng  GAO Qing-xian  ZHANG En-chen  MIAO Qi-long and WU Jian-guo
Institution:Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China;Chinese Research Academy of Environmental Sciences,Beijing 100012,China;Shenyang Environmental Engineering Design and Research Institute,Shenyang 110013,China;Nanjing University of Information Sciences & Technology,Nanjing 210044,China;Chinese Research Academy of Environmental Sciences,Beijing 100012,China
Abstract:The treatment methods of municipal solid waste in China were introduced briefly, and current status of municipal solid waste treatment and its trend were studied. The results show that the major treatment method in China is landfill, with the treatment ratio accounting for 95% of the total. The capacity of sanitary landfill is lower, and there exist big differences in treatment levels all over China, so the regional difference exists in municipal solid waste treatment. Based on the correlations of transportation amount of solid waste with other driving factors, such as GDP, per capita GDP and non-agriculture population, the estimating models were built. The models were used to forecast future municipal solid waste generating amount in different scenarios. The forecasting result of non-agriculture population is more close to reality than GDP or per capita GDP-based models.
Keywords:municipal solid waste  treatment  trend  forecast
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