首页> 外文期刊>Atmospheric environment >A new monitoring-simulation-source apportionment approach for investigating the vehicular emission contribution to the PM_(2.5) pollution in Beijing, China
【24h】

A new monitoring-simulation-source apportionment approach for investigating the vehicular emission contribution to the PM_(2.5) pollution in Beijing, China

机译:研究中国机动车排放对PM_(2.5)污染贡献的一种新的监视-模拟-源分配方法

获取原文
获取原文并翻译 | 示例
           

摘要

In this study, a new approach combining the environment monitoring, model simulation and source apportionment methods was proposed to investigate the impact of vehicular emissions on the PM_(2.5) pollution. The method can identify the contributions of various emission sources to both the primary and secondary particles. A case application was conducted in Beijing, China. An intensive monitoring covering the period of December 2010 to January 2012 was conducted to obtain the detailed chemical components proportions in the total PM_(2.5). The vehicular emission contributions (VECs) to primary organic aerosols (POA), element carbon (EC), SO_2, NO_x, NH_3, elements and VOC were estimated based on the MM5-CMAQ simulation, factor analysis and references investigation. The VECs to different components and to the total PM_(2.5) were then calculated. Results showed that there was no clear difference in the total VECs of different seasons. The annual average contribution ratio was approximately 22.5 ± 3.5%. Among all the chemical species, nitrate and SOA accounted for the highest contribution percentages. In addition, the influence of road dust on the PM_(2.5) pollution was also simulated using the MM5-CMAQ modeling system. It is indicated that the road dust contributed approximately 4.9 ± 1.3% of the total PM_(2.5) on an annual average. Considering both the contributions from motor vehicles and road dust emissions, the annual average direct contributions from road transport to the PM_(2.5) in Beijing was approximately 27.4 ± 4.8%.
机译:在这项研究中,提出了一种结合环境监测,模型模拟和源分配方法的新方法,以研究车辆排放对PM_(2.5)污染的影响。该方法可以识别各种排放源对一次和二次粒子的贡献。在中国北京进行了案例申请。为了涵盖详细的化学成分在PM_(2.5)中所占的比例,对2010年12月至2012年1月进行了深入监控。基于MM5-CMAQ模拟,因子分析和参考研究,估算了对主要有机气溶胶(POA),元素碳(EC),SO_2,NO_x,NH_3,元素和VOC的车辆排放贡献(VEC)。然后计算出不同成分的VEC和总PM_(2.5)。结果表明,不同季节的总VECs没有明显差异。年平均贡献率约为22.5±3.5%。在所有化学物种中,硝酸盐和SOA贡献最高。此外,还使用MM5-CMAQ建模系统模拟了道路扬尘对PM_(2.5)污染的影响。结果表明,道路灰尘每年平均占总PM_(2.5)的4.9±1.3%。考虑到机动车的贡献和道路扬尘的排放,北京道路交通对PM_(2.5)的年平均直接贡献约为27.4±4.8%。

著录项

  • 来源
    《Atmospheric environment》 |2013年第11期|308-316|共9页
  • 作者单位

    College of Environmental & Energy Engineering, Beijing University of Technology, Beijing 100124, China;

    College of Environmental & Energy Engineering, Beijing University of Technology, Beijing 100124, China;

    College of Environmental & Energy Engineering, Beijing University of Technology, Beijing 100124, China;

    College of Environmental & Energy Engineering, Beijing University of Technology, Beijing 100124, China;

    College of Environmental & Energy Engineering, Beijing University of Technology, Beijing 100124, China;

    College of Environmental & Energy Engineering, Beijing University of Technology, Beijing 100124, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Source apportionment; PM_(2.5) pollution; Vehicular emissions; Environment monitoring; MM5-CMAQ; Road dust;

    机译:来源分配;PM_(2.5)污染;车辆排放;环境监测;MM5-CMAQ;路尘;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号