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Local and distant source contributions to secondary organic aerosol in the Beijing urban area in summer

机译:夏季,北京市区局部和远距离污染源对次生有机气溶胶的贡献

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摘要

Quantification of local and distant source contributions to particulate matter is a key issue to improving air quality in large urban areas, but few studies have focused on secondary organic aerosol (SOA) source contributions in a large area, especially in China. In this study, we extended the Comprehensive Air Quality Model with Extensions (CAM(x)) version 5.4, replacing the two-product approach by the volatility basis-set (VBS) approach, with updated SOA yields based on smog chamber studies. The modules related to the computationally efficient particulate source apportionment technology (PSAT) used in CAME v5.4 were extended based on the volatility basis set (VBS) approach. The updated version of the CAME model was then used to calculate the local and distant source contributions to SOA in Beijing for the first time. The results indicated that the VBS approach substantially improved hourly, daily, and monthly SOA simulations, compared with the two-product approach and the observations. In August 2007, the local source contributions to anthropogenic and biogenic SOA in Beijing were 23.8% and 16.6%, respectively; distant sources dominated for both anthropogenic and biogenic SOA in Beijing: Northern Hebei, Middle Hebei, Northeast China, Inner Mongolia, Shandong, and Tianjin (including Xianghe) contributed 5.1% -18.2% to anthropogenic SOA in Beijing; whereas, Inner Mongolia, Northern Hebei, and Northeast China contributed 12.2%, 18.6%, and 10.1%, respectively, to biogenic SOA in Beijing. Additionally, other areas outside China respectively contributed 53% and 10.8% to anthropogenic and biogenic SOA in Beijing: this could be related to strong summer monsoon. (C) 2015 Elsevier Ltd. All rights reserved.
机译:量化本地和远程源对颗粒物的贡献是改善大城市地区空气质量的关键问题,但是很少有研究集中在大面积(尤其是在中国)中的二次有机气溶胶(SOA)源贡献上。在本研究中,我们扩展了带有扩展功能的综合空气质量模型(CAM(x))5.4版,用挥发性基础集(VBS)方法替代了两种产品方法,并基于烟雾室研究更新了SOA产量。基于挥发性基础集(VBS)的方法扩展了CAME v5.4中使用的与计算有效的颗粒物源分配技术(PSAT)相关的模块。然后,使用CAME模型的更新版本首次计算了北京对SOA的本地和远程源贡献。结果表明,与两种产品的方法和观察到的结果相比,VBS方法在每小时,每天和每月的SOA模拟方面都有实质性的改进。 2007年8月,北京对人为和生物源SOA的本地来源贡献分别为23.8%和16.6%。北京的人为和生物源SOA均占主导地位:河北北部,河北中部,东北,内蒙古,山东和天津(包括香河)对北京的人为SOA贡献了5.1%-18.2%;内蒙古,河北北部和东北地区分别为北京的生物SOA贡献了12.2%,18.6%和10.1%。此外,中国以外的其他地区分别为北京的人为和生物源SOA贡献了53%和10.8%:这可能与夏季季风旺盛有关。 (C)2015 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Atmospheric environment 》 |2016年第janaptab期| 176-185| 共10页
  • 作者单位

    Chinese Acad Sci, IAP, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, IAP, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China;

    Chinese Acad Sci, IAP, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China;

    Chinese Acad Sci, IAP, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China;

    Chinese Acad Sci, IAP, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China;

    Chinese Acad Sci, IAP, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, IAP, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China|Anhui Meteorol Bur, Hefei 230061, Peoples R China;

    Chinese Acad Sci, IAP, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China;

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

    SOA; Volatility basis set approach; Particulate source apportionment technology; CAM(x);

    机译:SOA;波动率基集方法;颗粒物源分配技术;CAM(x);

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