Chemical characteristics of aerosols at coastal station in Hong Kong. I. Seasonal variation of major ions, halogens and mineral dusts between 1995 and 1996

Cheng, Zhanwen; Lam, K.S.; Chan, Ling-Yau; Wang, Tao; Cheng, Ke

doi:10.1016/s1352-2310(99)00343-x

Cited by 152 publications

(74 citation statements)

References 26 publications

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“…Soil h (Holmes et al, 1996;Cheng et al, 2000;Hein et al, 2002;Cohen et al, 2004a, b). In o A was used to identify major crustal components associated with the soil fingerprints for this site.…”

Section: Urce Related Classification Of the Elements Based On Pca Anamentioning

confidence: 99%

Multi-element Analysis and Characterization of Atmospheric Particulate Pollution in Dhaka

Begum

Biswas

Hopke

et al. 2006

Aerosol Air Qual. Res.

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PIXE (Proton Induced X-Ray Emission) and PIGE (Proton Induced Gamma Ray Emission) have been used to measure the concentration of over 20 elements present in coarse and fine atmospheric particle samples. These samples were collected at a semi-residential site at Dhaka, Bangladesh from July 2002 to June 2003. The multi-elemental capability of PIXE and PIGE enabled the use of these elemental-concentration data to define fingerprints of various coarse and fine particle sources in the atmosphere using factor analysis along with linear regression. Biplots between a major component of a given source identified by the factor analysis with another signature element were prepared. Regression analyses could then be performed on a subset of the plot to quantify the relationship between these constituents in this fingerprint. The identified fingerprints included anthropogenic sources, such as motor vehicles, Zn source, two-stroke engine, and fugitive Pb; as well as natural sources, such as sea spray and soil dust. In this study, the chemical compositions of elements of these fingerprints were compared with the results obtained from PMF modeling that had been obtained in a previous study.

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Section: Urce Related Classification Of the Elements Based On Pca Anamentioning

confidence: 99%

Multi-element Analysis and Characterization of Atmospheric Particulate Pollution in Dhaka

Begum

Biswas

Hopke

et al. 2006

Aerosol Air Qual. Res.

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“…The concentration of major soluble ions for PM 10 showed a summer minimum and a winter maximum in a coastal region of Hong Kong and the possible sources were identified as fossil combustion and anthropogenic emission, sea-salt component, mineral dust, vehicle and biomass emissions (Cheng et al, 2000;Man and Shih, 2001). Cao et al (2003) used the thermal optical reflectance method to analyze the organic carbon (OC) and elemental carbon (EC) of aerosol in PRDR.…”

Section: Introductionmentioning

confidence: 99%

The Characteristics of PM2.5 and Its Chemical Compositions between Different Prevailing Wind Patterns in Guangzhou

Chang

Chou

Liu

et al. 2013

Aerosol Air Qual. Res.

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An intensive campaign for atmospheric pollution was carried out from October to November 2004 in Pearl River Delta Region (PRDR) of China in order to better understand the dominative factors for controlling air quality and impacts of pollutants on the regional environment. The object of this study aimed to investigate the characters and sources of particulates through the study of chemical compositions in different wind pattern in Guangzhou city. The ambient concentrations of mass, soluble species, and carbonaceous matter in PM 2.5 particulates with time resolutions of 15 minutes, 15 minutes, and 12 hours were measured by TEOM, in-situ IC system, and carbon analyzer, respectively. During the sampling time, high concentrations of PM 2.5 mass and its chemical compositions were found, which was comparable or higher than other measurements in mainland China. The average SO 4 2-, NH 4 + , and NO 3 -concentrations were 38.6, 13.6, and 8.8 μg/m 3 , which accounted for 26.5%, 13.6%, and 5.7% of the total particulate mass, respectively. In the frontal system, biomass burning was the significant emission source and the great amount of SO 4 2-and NH 4 + particulates were observed in the aged secondary particulates, together with the dry prevailing northerly wind. In the local system, low value of sulfur oxidation ratio and high correlation coefficient between sulfate and elemental carbon were also observed under the prevailing southeasterly wind. It could be explained that the heterogeneous reaction of sulfate on soot particles causes high levels of NO x in Guangzhou. Great amount of SO 2 would further convert to secondary sulfate particles through photochemical reactions during transport to the inner areas, which will cause more serious air pollutions in the southern China.

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“…Comparison of PM 2.5 Na ϩ and Cl Ϫ concentrations (see Figure 6) reveals that the observed Cl Ϫ /Na ϩ equivalent ratio (average ϳ0.33) is much lower than expected for sea salt (ϳ1.16). 20 The combination of apparent Cl Ϫ loss from sea salt and the observation that PM 2.5 NO 3 Ϫ concentrations peak during periods with transport from the Gulf region, suggests that HNO 3 reaction with sea salt is important. Indeed, if we examine the daily ratios of the sum of PM 2.5 NO 3 Ϫ and Cl Ϫ to PM 2.5 Na ϩ , it is found that on many days they fall close to the ratio expected in aged sea salt (see Figure 6).…”

Section: Resultsmentioning

confidence: 99%

Aerosol Ion Characteristics During the Big Bend Regional Aerosol and Visibility Observational Study

Lee

Kreidenweis

Collett

2004

Journal of the Air & Waste Management Association

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Chemical characteristics of aerosols at coastal station in Hong Kong. I. Seasonal variation of major ions, halogens and mineral dusts between 1995 and 1996

Cited by 152 publications

References 26 publications

Multi-element Analysis and Characterization of Atmospheric Particulate Pollution in Dhaka

Multi-element Analysis and Characterization of Atmospheric Particulate Pollution in Dhaka

The Characteristics of PM2.5 and Its Chemical Compositions between Different Prevailing Wind Patterns in Guangzhou

Aerosol Ion Characteristics During the Big Bend Regional Aerosol and Visibility Observational Study

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