Columnar Optical Depth and Vertical Distribution of Aerosols over Shanghai

Xuan, Jin; Cheng, Tiantao; Chen, Jianmin; Xu, Junwei; Chen, Yonghang

doi:10.4209/aaqr.2011.11.0183

Cited by 8 publications

(4 citation statements)

References 45 publications

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“…There is a nationwide research focus on PM as the principal pollutant in China, including its physical, chemical and optical properties [10][11][12]. Most studies have focused on northern China [13][14][15], the Yangtze River delta [16,17], and the Pearl River delta [18]. As a measure of this concern, the latest ambient air quality standards published in 2012 (GB3095-2012) gave PM2.5 values for the first time [19].…”

Section: Introductionmentioning

confidence: 99%

Variations in PM10, PM2.5 and PM1.0 in an Urban Area of the Sichuan Basin and Their Relation to Meteorological Factors

et al. 2015

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Daily average monitoring data for PM10, PM2.5 and PM1.0 and meteorological parameters at Chengdu from 2009 to 2011 are analyzed using statistical methods to replicate the effect of urban air pollution in Chengdu metropolitan region of the Sichuan Basin. The temporal distribution of, and correlation between, PM10, PM2.5 and PM1.0 particles are analyzed. Additionally, the relationships between particulate matter (PM) and certain meteorological parameters are studied. The results show that variations in the average mass concentrations of PM10, PM2.5 and PM1.0 generally have the same V-shaped distributions (except for April), with peak/trough values for PM average mass concentrations appearing in January/September, respectively. From 2009 to 2011, the inter-annual average mass concentrations of PM10, PM2.5 and PM1.0 fall year on year. The correlation coefficients of daily concentrations of PM10 with PM2.5, PM10 with PM1.0, and PM2.5 with PM1.0 were high, reaching 0.91, 0.83 and 0.98, respectively. In addition, the average ratios of PM2.5/PM10, PM1.0/PM10 and PM1.0/PM2.5 were 85%, 78% and 92%, respectively. From this, fine PM is determined to be the principal pollutant in the Chengdu region. Except for averaged air pressure values, negative correlations exist between other meteorological parameters and PM. Temperature and air pressure influenced the transport and accumulation of PM by

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Section: Introductionmentioning

confidence: 99%

Variations in PM10, PM2.5 and PM1.0 in an Urban Area of the Sichuan Basin and Their Relation to Meteorological Factors

et al. 2015

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“…Most research on the characteristics of particulate matter is based on data gathered in the Sichuan Basin [11], the Yangtze River delta [12,13], and Northern China [14][15][16]. When considering the impact factors of PM, analysis of the chemical characteristics of ultrafine particles, such as inorganic ions, shows that inorganic water soluble ions constitute 48.9% of the PM1, while second species in PM1 are in the form of NH4NO3 and NH4HSO4 [17].…”

Section: Introductionmentioning

confidence: 99%

Characteristics of PM1.0, PM2.5, and PM10, and Their Relation to Black Carbon in Wuhan, Central China

et al. 2015

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Hourly average monitoring data for mass concentrations of PM1, PM2.5, PM10, and black carbon (BC) were measured in Wuhan from December 2013 to December 2014, which has a flourishing steel industry, to analyze the characteristics of PM and their relation to BC, using statistical methods. The results indicate that variations in the monthly average mass concentrations of PM have similar concave parabolic shapes, with the highest values occurring in January and the lowest values appearing in August or September. The correlation coefficient of the linear regression model between PM1 and PM2.5 is quite high, reaching 0.99. Furthermore, the proportion of PM1 contained within PM2.5 is roughly 90%, directly proving that ultrafine particles whose diameter less than 1 μm may be a primary component of PM2.5 in Wuhan. Additionally, better seasonal correlation between PM and BC occurs only in summer and autumn, due to multiple factors such as topography, temperature, and the atmosphere in winter and spring. Finally, analysis of the diurnal variation of PM and BC demonstrates that the traffic emissions during rush hour, exogenous pollutants, and the shallow PBLH with stagnant atmosphere, all contribute to the severe pollution of Wuhan in winter.

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“…In particular, open biomass burning was strictly forbidden during the World Expo (Zhang et al, 2008;Li et al, 2010;Du et al, 2011;Zhang et al, 2011). Satellite measurements (GOME, MODIS and MOPITT) have verified that these air quality control measures were effective Jia et al, 2012). These circumstances make Shanghai during the World Expo a good case study for the physical and chemical characterizations of aerosol particles under controlled local emission conditions.…”

Section: Introductionmentioning

confidence: 99%

Urban Aerosol Characteristics during the World Expo 2010 in Shanghai

Zhang

Chen

et al. 2013

Aerosol Air Qual. Res.

Self Cite

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During the World Exposition 2010, which ran from May to October, emission control measures were implemented in Shanghai and surrounding areas to improve the air quality. This study evaluated the effects of regional transport on aerosol characteristics under these controlled local emission conditions using a month's worth of observations of the aerosol number size distributions (10 nm-10 μm) and the chemical compositions of the aerosols. Back-trajectories and a Lagrangian dispersion model were combined to analyze the transport characteristics of regional and local air pollution and the related mechanisms. Two classes of aerosols were identified and compared. Class I was a clear air condition with ocean-oriented air masses. Particle counts in this class were dominated by particles in the size range 20-40 nm, and NH 4 + was mainly present in the form of (NH 4 ) 2 SO 4 . A strong peak at noontime indicated that the particle formation or growth process was promoted by the photochemical process. Class II was characterized as a regional transport pollution condition with air masses originating in the surrounding areas. The analysis showed increases in particle number concentrations and total water soluble ions of about 17% and 350%, respectively, compared with Class I episodes. The fraction of particles in the size range 50-200 nm increased sharply to almost 50% of the total particle counts. An examination of the diurnal pattern and major water soluble ions suggested that the increase in size mode (50-200 nm) particles was mainly due to the particle growth process and the presence of enough precursor gases. NH 4 + was present in the form of (NH 4 ) 2 SO 4 and NH 4 NO 3 . Although air control measures during the World Expo significantly limited local emissions, our results indicate that the regional transport from surrounding cities was responsible for the higher trace gases and particle volume concentrations, along with the large number of Aitken mode particles.

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Columnar Optical Depth and Vertical Distribution of Aerosols over Shanghai

Cited by 8 publications

References 45 publications

Variations in PM10, PM2.5 and PM1.0 in an Urban Area of the Sichuan Basin and Their Relation to Meteorological Factors

Variations in PM10, PM2.5 and PM1.0 in an Urban Area of the Sichuan Basin and Their Relation to Meteorological Factors

Characteristics of PM1.0, PM2.5, and PM10, and Their Relation to Black Carbon in Wuhan, Central China

Urban Aerosol Characteristics during the World Expo 2010 in Shanghai

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