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Open AccessJournal ArticleDOI

Characterization of particle size distributions during winter haze episodes in urban air

TLDR
Li et al. as mentioned in this paper conducted comprehensive characterization of particle size distribution during winter in Xi'an, China using a TSI Fast Mobility Particle Sizer Model 3091 (FMPS, from 5.6 to 523
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This article is published in Atmospheric Research.The article was published on 2019-11-01 and is currently open access. It has received 12 citations till now. The article focuses on the topics: Haze & Scanning mobility particle sizer.

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Journal ArticleDOI

Chemical composition, water content and size distribution of aerosols during different development stages of regional haze episodes over the North China Plain

TL;DR: In this paper, the formation mechanism and physicochemical characteristics of aerosols in different haze stages have been carried out, and the aerosol size distribution and chemical composition are found to have significant effects on its hygroscopicity, acidity/alkalinity and light extinction.
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The state of science on severe air pollution episodes: Quantitative and qualitative analysis.

TL;DR: In this paper, the authors investigated the trends of number, frequency, and duration of pollution episodes and compared these with the baseline trend in air pollution, and showed that the factors contributing to these events are complex; however, longterm measures to abate emissions from all anthropogenic sources at all times is also the most efficient way to reduce the occurrence of severe air pollution events.
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Exploring the impact of new particle formation events on PM2.5 pollution during winter in the Yangtze River Delta, China

TL;DR: In this article, the particle number size distributions and the frequency of new particle formation (NPF) events over Hefei were investigated from November 2018 to February 2019, and the proportions of the nucleation mode, Aitken mode, and accumulation mode were 24.59, 53.10, and 22.30%, respectively.
Journal ArticleDOI

Exploring the impact of new particle formation events on PM2.5 pollution during winter in the Yangtze River Delta, China

TL;DR: In this paper , the particle number size distributions and the frequency of new particle formation (NPF) events over Hefei were investigated from November 2018 to February 2019, and the proportions of the nucleation mode, Aitken mode, and accumulation mode were 24.59, 53.10, and 22.30%, respectively.
Journal ArticleDOI

Examining the physical and chemical contributions to size spectrum evolution during the development of hazes.

TL;DR: A new method was developed to quantitatively evaluate the physical and chemical contributions to growth processes by analysing the size spectrum evolution data, and showed that the accumulative-rise processes are governed by primary emissions and the abrupt-rise process is governed by secondary chemical reactions.
References
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Journal ArticleDOI

Elucidating severe urban haze formation in China

TL;DR: A periodic cycle of PM episodes in Beijing is demonstrated that is governed by meteorological conditions and characterized by two distinct aerosol formation processes of nucleation and growth, but with a small contribution from primary emissions and regional transport of particles.
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Persistent sulfate formation from London Fog to Chinese haze

TL;DR: The results explain the outstanding sulfur problem during the historic London Fog formation and elucidate the chemical mechanism of severe haze in China, and suggest that effective haze mitigation is achievable by intervening in the sulfate formation process with NH3 and NO2 emission control measures.
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Formation of Urban Fine Particulate Matter

TL;DR: Air pollutants consist of a complex combination of gases and particulate matter, which is emitted directly into the atmosphere or formed in the atmosphere through gas-to-particle conversion (secondary) (Figure 1).
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Nucleation and Growth of Nanoparticles in the Atmosphere

TL;DR: Nucleation and Growth of Nanoparticles in the Atmosphere Renyi Zhang,* Alexei Khalizov, Lin Wang, Min Hu, and Wen Xu.
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