Characterization, mixing state, and evolution of single particles in a megacity of Sichuan Basin, southwest China

Characterization, mixing state, and evolution of single particles in a megacity of Sichuan Basin, southwest China
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中国西南部四川盆地特大城市的单颗粒特征、混合状态和演化

DOI:
10.1016/j.atmosres.2018.03.014
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发表时间:
2018-09
影响因子:
5.5
通讯作者:
Wu Pan
Wu Pan
中科院分区:
地球科学1区
文献类型:
--
作者:
Zhang Junke;Huang Xiaojuan;Wang Yuesi;Luo Bin;Zhang Jianqiang;Song Hongyi;Zhang Wei;Liu Peichuan;Schafer Klaus;Wang Shigong;Luo Jinqi;Wu Pan

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2016年9月22日至10月26日,在成都市区部署了单粒子气溶胶质谱仪(SPAMS),研究了单粒子的大小分辨化学成分和混合状态。采用ART-2a算法对10种主要的单一颗粒类型进行分解,并将其分为碳质颗粒、二次无机颗粒和其他颗粒。混合状态分析表明,碳质颗粒和其他颗粒通常在大气过程中与硫酸盐和硝酸盐内部混合。碳质颗粒主要与硫酸盐内部混合,其他颗粒类型与硝酸盐混合。降低nox浓度是降低成都PM2.5(空气动力学直径小于2.5 μm的颗粒物)污染的关键。一个污染事件的完整过程可以概括为区域(清洁)、局部排放(过渡)和污染物积累(污染)。在高相对湿度条件下,水相反应是形成pm2.5物质的关键途径。不同类型日(工作日、双休日和国庆假期)不同的排放特征导致pm2.5质量和总浓度的日变化规律存在显著差异。初步形成的颗粒物经历了多种大气过程(如凝聚、凝结、积累等),导致颗粒物数浓度下降,随后出现pm2.5质量浓度值偏高。这些发现为进一步认识四川盆地的单颗粒行为和污染形成机制提供了新的视角。
A Single Particle Aerosol Mass Spectrometer (SPAMS) was deployed in the urban area of Chengdu to investigate the size-resolved chemical composition and mixing state of single particles from 22 September to 26 October 2016. Ten major single particle types were resolved with the ART-2a algorithm and these types were classified into carbonaceous particles, secondary inorganic particles, and other particles. The mixing state analysis showed that carbonaceous and other particles were commonly internally mixed with sulfate and nitrate by atmospheric processes. Carbonaceous particles were mainly internally mixed with sulfate, while other particle types were mixed with nitrate. The abatement of NOxconcentrations is essential for the reduction of PM2.5(particles with the aerodynamic diameter smaller than 2.5 μm) pollution in Chengdu. The complete process of a pollution event can be summarized as regional (clean), local emission (transition), and accumulation of pollutants (polluted). At high relative humidity levels, the aqueous-phase reaction is a key pathway for the formation of PM2.5species. The diverse emission characteristics of different types of days (weekdays, weekends, and the National Day holiday) resulted in significantly different diurnal patterns in the PM2.5mass and total number concentrations. The preliminarily formed particles experienced a variety of atmospheric processes (such as coagulation, condensation, and accumulation), which were responsible for the decrease in the number concentration and subsequent high PM2.5mass concentration values. All these findings provide new insights into, and improved understanding of, the behavior of single particles and the pollution formation mechanisms in the Sichuan Basin.
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