The impact of aerosol–radiation interactions on the effectiveness of emission control measures

The impact of aerosol–radiation interactions on the effectiveness of emission control measures
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DOI:
10.1088/1748-9326/aaf27d
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发表时间:
2019-01
影响因子:
6.7
通讯作者:
Mi Zhou;Lin Zhang;Dan Chen;Y. Gu;T. Fu;M. Gao;Yuanhong Zhao;Xiao Lu;Bin Zhao
Mi Zhou;Lin Zhang;Dan Chen;Y. Gu;T. Fu;M. Gao;Yuanhong Zhao;Xiao Lu;Bin Zhao
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Mi Zhou;Lin Zhang;Dan Chen;Y. Gu;T. Fu;M. Gao;Yuanhong Zhao;Xiao Lu;Bin Zhao

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在北京及周边地区采取临时排放控制措施已成为一种普遍做法,以确保重大活动(例如2014年11月5日至11日举行的亚太经合组织(APEC)峰会)期间空气质量良好,并减轻即将到来的污染事件的严重程度。由于PM2.5通过气溶胶与气象的相互作用影响气象学,因此产生了一个问题,即这些相互作用如何影响PM2.5对减排的响应,从而影响排放控制措施的有效性。在这里,我们使用气象-化学耦合模型WRF-Chem来研究这一问题,重点关注APEC周和华北地区三次污染事件的气溶胶-辐射相互作用(ARI)。我们发现,由于减排导致的PM2.5浓度变化与PM2.5水平之间存在二次关系,而不是在没有ARI的情况下近似线性响应。在APEC期间,ARI效应对北京排放控制效果的影响仅为6.7%,而在污染较重的条件下,其影响达到21.9%。研究结果表明,ARI能够强烈影响PM2.5变率对排放变化和气象的归因,因此对评估排放控制措施的有效性具有重要意义。
Temporary emission control measures in Beijing and surrounding regions have become a prevailing practice to ensure good air quality for major events (e.g. the Asia-Pacific Economic Cooperation (APEC) Summit on 5–11 November 2014) and to mitigate the severity of coming pollution episodes. Since PM2.5 affects meteorology via aerosol–meteorology interactions, a question arises how these interactions may impact the response of PM2.5 to emission reductions and thus the effectiveness of emission control measures. Here we use the coupled meteorology-chemistry model WRF-Chem to investigate this issue with focus on aerosol–radiation interactions (ARI) for the APEC week and three more polluted episodes over North China. We find a quadratic relationship between PM2.5 concentration changes due to emission reductions and PM2.5 levels, instead of an approximately linear response in the absence of ARI. The ARI effects could only change the effectiveness of emission control by 6.7% during APEC in Beijing, but reach 21.9% under more polluted conditions. Our results reveal that ARI can strongly affect the attribution of PM2.5 variability to emission changes and meteorology, and is thus important for assessing the effectiveness of emission control measures.