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在一个包含气溶胶微观物理学的空气质量模型中解释北京及周边地区细颗粒物数浓度的时空变化。

Explaining the spatiotemporal variation of fine particle number concentrations over Beijing and surrounding areas in an air quality model with aerosol microphysics.

作者信息

Chen Xueshun, Wang Zifa, Li Jie, Chen Huansheng, Hu Min, Yang Wenyi, Wang Zhe, Ge Baozhu, Wang Dawei

机构信息

State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.

State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.

出版信息

Environ Pollut. 2017 Dec;231(Pt 2):1302-1313. doi: 10.1016/j.envpol.2017.08.103. Epub 2017 Sep 12.

Abstract

In this study, a three-dimensional air quality model with detailed aerosol microphysics (NAQPMS + APM) was applied to simulate the fine particle number size distribution and to explain the spatiotemporal variation of fine particle number concentrations in different size ranges over Beijing and surrounding areas in the haze season (Jan 15 to Feb 13 in 2006). Comparison between observations and the simulation indicates that the model is able to reproduce the main features of the particle number size distribution. The high number concentration of total particles, up to 26600 cm in observations and 39800 cm in the simulation, indicates the severity of pollution in Beijing. We find that primary particles with secondary species coating and secondary particles together control the particle number size distribution. Secondary particles dominate particle number concentration in the nucleation mode. Primary and secondary particles together determine the temporal evolution and spatial pattern of particle number concentration in the Aitken mode. Primary particles dominate particle number concentration in the accumulation mode. Over Beijing and surrounding areas, secondary particles contribute at least 80% of particle number concentration in the nucleation mode but only 10-20% in the accumulation mode. Nucleation mode particles and accumulation mode particles are anti-phased with each other. Nucleation or primary emissions alone could not explain the formation of the particle number size distribution in Beijing. Nucleation has larger effects on ultrafine particles while primary particles emissions are efficient in producing large particles in the accumulation mode. Reduction in primary particle emissions does not always lead to a decrease in the number concentration of ultrafine particles. Measures to reduce fine particle pollution in terms of particle number concentration may be different from those addressing particle mass concentration.

摘要

在本研究中,应用了一个包含详细气溶胶微观物理学的三维空气质量模型(NAQPMS + APM)来模拟细颗粒物数量粒径分布,并解释雾霾季节(2006年1月15日至2月13日)北京及周边地区不同粒径范围内细颗粒物数量浓度的时空变化。观测结果与模拟结果的比较表明,该模型能够再现颗粒物数量粒径分布的主要特征。总颗粒物的高数量浓度,观测值高达26600个/立方厘米,模拟值为39800个/立方厘米,表明北京污染的严重程度。我们发现,带有二次成分包覆的一次颗粒物和二次颗粒物共同控制着颗粒物数量粒径分布。二次颗粒物在成核模态中主导颗粒物数量浓度。一次和二次颗粒物共同决定了埃根模态中颗粒物数量浓度的时间演变和空间格局。一次颗粒物在积聚模态中主导颗粒物数量浓度。在北京及周边地区,二次颗粒物在成核模态中对颗粒物数量浓度的贡献至少为80%,但在积聚模态中仅为10 - 20%。成核模态颗粒物和积聚模态颗粒物呈反相位关系。单独的成核或一次排放无法解释北京颗粒物数量粒径分布的形成。成核对超细颗粒物的影响较大,而一次颗粒物排放对在积聚模态中产生大颗粒物很有效。一次颗粒物排放的减少并不总是导致超细颗粒物数量浓度的降低。就颗粒物数量浓度而言,减少细颗粒物污染的措施可能与针对颗粒物质量浓度的措施不同。

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