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机动车颗粒物排放控制策略研究
引用本文:郭栋,商强,高松,王晓原,房海涛.机动车颗粒物排放控制策略研究[J].土木与环境工程学报,2013,35(Z2):69-72.
作者姓名:郭栋  商强  高松  王晓原  房海涛
作者单位:山东理工大学交通与车辆工程学院
基金项目:国家自然科学基金项目(61074140);山东省高等学校科技计划项目(J12LI02)
摘    要:颗粒物已经成为造成环境污染和影响人体健康的主要污染物之一,而机动车颗粒物排放占污染物的60%以上。目前中国对机动车颗粒物排放的研究较少,没有系统提出相应的控制策略。文章首先分析了机动车颗粒物的生成机理及影响因素;根据《中国机动车污染防治年报》统计数据,使用MATLAB建立了汽车、低速汽车及机动车数量与颗粒物排放量之间的数学模型,预测未来5a内的机动车颗粒物的排放总量。结果表明机动车颗粒物排放逐年增加,2015年将达到1.032 2×106 t;而低速汽车数的PM排放量会逐年缓慢降低,这主要受国家政策影响。最后,根据分析预测结果,提出了机动车颗粒物排放控制策略。

关 键 词:颗粒物  机动车保有量  数学模型  排放控制

Strategy to Control Motor Vehicle Emission Particulate Matter
Guo Dong,Shang Qiang,Gao Song,Wang Xiaoyuan and Fang Haitao.Strategy to Control Motor Vehicle Emission Particulate Matter[J].Journal of Civil and Environmental Engineering,2013,35(Z2):69-72.
Authors:Guo Dong  Shang Qiang  Gao Song  Wang Xiaoyuan and Fang Haitao
Affiliation:Guo Dong;Shang Qiang;Gao Song;Wang Xiaoyuan;Fang Haitao;School of Transportation and Vehicle Engineering,Shandong University of Technology;
Abstract:Particulate matter has become one of the major pollutants causing environmental pollution and affects human health. Motor vehicle particulate matter emissions accounted for more than 60% of the pollutants. At present, research on motor vehicle particulate matter emissions has inadequate systematic control strategies. This paper first analyzes the draw of the motor vehicle particulate matter formation mechanism and influencing factors. According to the statistics of the China Motor Vehicle Pollution Prevention Annual Report, mathematical models of the number of cars, the number of low speed motor vehicles and the number of motor vehicles with particulate matter emissions are presented using MATLAB, and the total amount of motor vehicle particulate emissions in the next five years is predicted. The results show that the motor vehicle particulate emissions increases every year and reached 1.032 2 million tons in 2015. Low-speed vehicle number PM emissions will gradually be reduced slowly, mainly influenced by national policies. Finally, according to the analysis and forecasting results, an effective motor vehicle particulate matter emission control strategy is put forward.
Keywords:particulate matter  motor vehicle ownership  mathematical model  control emission
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