Chemical Composition of PM2.5 and its Impact on Visibility in Guangzhou, Southern China

Wang, Xuemei; Zhou, Shengzhen; Cohen, Jason Blake; Zhang, Jinpu; Wang, Yu; Chang, Ming; Zeng, Yanyan; Liu, Yexin; Ling, Zhenhao; Liang, Guixiong; Qiu, Xiaonuan

doi:10.4209/aaqr.2016.02.0059

Cited by 23 publications

(10 citation statements)

References 66 publications

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“…In particular, when RH was higher than 80%, the visibility was mostly kept below 10 km. This was in good agreement with the conclusion of the early literature [34,44,45]. The aerosol mass absorbing efficiency (E abs ), the ratio of OAC to PM 10 mass concentration, is also shown in Figure 5b and depends on several factors, including particle size, chemical composition, morphology, RH, and the wavelength of light [25].…”

Section: Meteorological Influence On Oac: Relative Humiditysupporting

confidence: 90%

Aerosol Light Absorption at 1064 nm: Pollution Sources, Meteorological Parameters and Gas Pollutants in Qingdao Coastal Area, China

et al. 2021

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A two-month sampling campaign was carried out from 1 November to 30 December 2019, to investigate the light absorption of aerosols at coastal sites in Qingdao. The average values and standard deviations of the absorption coefficient (OAC) at λ = 1064 nm during the measurement period were 18.52 ± 13.31 Mm−1. Combined with the backward trajectory model, the aerosol absorption coefficient and gas pollution concentration of six possible air mass trajectories were obtained and calculated. The maximum absorption coefficient of local air masses was approximately 20.4 Mm−1 and anthropogenic pollution originated from mainly local sources in the Jiaozhou area. In our measurements at this site, the results also showed that there was a positive correlation between relative humidity (RH) and aerosol absorption. Without considering other factors, the size of aerosol particles grew with the increasing of RH, which changed the nonlinear relationship between the size and the absorption cross section of aerosol particles subsequently. In addition, the correlations between gas pollutants and OAC were calculated. The atmospheric environment is complex in sea–land intersection areas, especially in coastal cities. Analysis of various aerosol sources, meteorological conditions, and gas precursors enhances the study of aerosol optical absorption.

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Section: Meteorological Influence On Oac: Relative Humiditysupporting

confidence: 90%

Aerosol Light Absorption at 1064 nm: Pollution Sources, Meteorological Parameters and Gas Pollutants in Qingdao Coastal Area, China

et al. 2021

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“…In particular, serious atmospheric pollution events occurred more frequently in North China, which resulted in more complicated aerosol properties (Yan et al, 2008;Li et al, 2012a. Therefore, many observational studies have investigated the physical, chemical, and optical properties of aerosols in different areas such as Beijing (Li et al, 2007;He et al, 2009), Tianjin Ma et al, 2011), Shanghai (Xu et al, 2012;Han et al, 2015), Guangzhou Garland et al, 2008;Chen et al, 2016), Chengdu (Tao et al, 2014), Anhui (Fan et al, 2010;Wang et al, 2014Wang et al, , 2015b, Lanzhou (Pu et al, 2015;Wang et al, 2015a), and other areas (Yin et al, 2010;Li et al, 2011;Shen et al, 2011;Cao et al, 2012;Li et al, 2012b;Dai et al, 2016;Yuan et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Physical and Optical Properties of Atmospheric Aerosols in Summer at a Suburban Site in North China

Li¹,

Li²,

Yuan

et al. 2017

Aerosol Air Qual. Res.

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The physical and optical properties of atmospheric aerosols at a suburban site in North China were continuously measured from July 20, 2014 to August 30, 2014. The particle number concentration (N a ), mass concentration (M a ), geometric mean diameter (GMD), scattering coefficient (σ sc ), and Angström exponent (α) were calculated. The potential source contribution was also analyzed. Mm -1 , and 1.87, respectively, in rainy days. Small-sized aerosols (< 100 nm) dominated the total aerosol numbers under clear conditions. The diurnal variation of N a showed one peak, usually appearing at 12:00, which could be correlated with new particle formation (NPF) events. Most NPF events began at 08:00-10:00 and continued until 12:00-14:00. The average particle formation rate (FR) and particle growth rate (GR) were 1.93 cm -3 s -1 and 7.24 nm h -1 , respectively. The diurnal variation of M a showed two peaks, at 7:00 and 21:00, which were caused by local or regional transport of urban plumes. A potential source contribution function (PSCF) analysis indicated that aerosol potential sources in Xinzhou were mainly concentrated in the relatively developed, densely populated areas, particularly in some areas to the east and southeast of Shanxi, and the PSCF values of these areas were higher than 0.6.

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“…The concentration in A1 and A3 was lower than those in Raipur (150.90 μg m −3 ), and similar to Beijing (102.45 μg m −3 ). A2 was lowest in three sampling siate, but higher than those in Iksan (37.30 μg m −3 ) and Guangzhou (57.75 μg m −3 )[16][17][18][19]. According to the latest China Ambient Air Quality Standard GB3095-2012, the concentration of PM 2.5 in A1, A2, A3 has exceeded the daily average secondary standard of 75.00 μg m −3 .…”

mentioning

confidence: 81%

Characteristics and sources analysis of PM2.5 in a major industrial city of northern Xinjiang, China

Chen

Ning

et al. 2020

SN Appl. Sci.

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A low-vol sampler was used to collect PM 2.5 samples for half-year in three sampling sites, including industrial park (A1), school (A2), factory (A3) in Shihezi, China. The result showed that the high levels of Na + and K + were likely originate from burning Zhundong coal. In general, the atmospheric aerosol of A1, A2 and A3 was alkaline. Most of the OC (organic carbon)/EC (element carbon) values were greater than 2.2, which indicated that there was significant secondary pollution. In the carbon component analysis, the values of OC1, EC2 and EC3 were significantly lower than OC2, OC3, OC4 and EC1. In addition, OC2 accounts for the largest proportion of OC. Combined with the source analysis of water-soluble ions, carbon component and HYSPLIT Trajectory Model, the main sources of Shihezi were local coal-fired emissions, road dust and car exhaust, and pollutants transmitted from western cities. This study provides a basis for investigating the pollution sources of PM 2.5 and the influence of Zhundong coal combustion in Shihezi in the future.

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Chemical Composition of PM2.5 and its Impact on Visibility in Guangzhou, Southern China

Cited by 23 publications

References 66 publications

Aerosol Light Absorption at 1064 nm: Pollution Sources, Meteorological Parameters and Gas Pollutants in Qingdao Coastal Area, China

Aerosol Light Absorption at 1064 nm: Pollution Sources, Meteorological Parameters and Gas Pollutants in Qingdao Coastal Area, China

Physical and Optical Properties of Atmospheric Aerosols in Summer at a Suburban Site in North China

Characteristics and sources analysis of PM2.5 in a major industrial city of northern Xinjiang, China

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