Sources and elemental composition of ambient PM2.5 in three European cities

Vallius, Marko; Janssen, Nicole; Heinrich, Joachim; Hoek, Gerard; Ruuskanen, Juhani; Cyrys, Josef; Grieken, R. Van; Hartog, Jeroen J. de; Kreyling, Wolfgang G.; Pekkanen, Juha

doi:10.1016/j.scitotenv.2004.06.018

Cited by 158 publications

(87 citation statements)

References 18 publications

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“…27 It has been applied for source apportionment of elemental composition and heavy metals present in PM. 28,29 PCA was also used for source apportionment studies conducted by Park and Kim 30 in an urban site in Seoul, Korea, for a dataset of 62 samples and 15 variables.…”

Section: Discussionmentioning

confidence: 99%

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Analysis of Trace Elements and Ions in Ambient Fine Particulate Matter at Three Elementary Schools in Ohio

John

Karnae

Crist

et al. 2007

Journal of the Air & Waste Management Association

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Section: Discussionmentioning

confidence: 99%

“…Si is one of the major components of coal combustion source profiles. 29 Factor 5 has high loadings of K and Co and moderate loadings of P, Mn, and Ni. Ni and Co may result from smelting activities or heavy fuel oil combustion.…”

Section: Pscf Analysismentioning

confidence: 99%

Analysis of Trace Elements and Ions in Ambient Fine Particulate Matter at Three Elementary Schools in Ohio

John

Karnae

Crist

et al. 2007

Journal of the Air & Waste Management Association

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“…Cr and Cd are known to occur at high temperatures during the combustion of coal, oil, refuse, and so on. Ni and V are widely used as markers for the combustion of heating fuel (Vallius et al, 2005), while Se and Zn are representative marker species for oilfired power plants and coal combustion, respectively Morishita et al, 2006). Metal elements and ionic compounds, such as K, Se, Na, Cl, NH 4 + and SO 4 2− are present in high concentrations and attributed to biomass burning.…”

Section: Source Apportionmentmentioning

confidence: 99%

Source Characterization and Apportionment of PM10, PM2.5 and PM0.1 by Using Positive Matrix Factorization

Gugamsetty

Han

Liu

et al. 2012

Aerosol Air Qual. Res.

208

117

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Ambient Particulate Matters (PM 10 , PM 2.5 and PM 0.1 ) were investigated at Shinjung station in New Taipei City, Taiwan. Samples were collected simultaneously using a dichotomous sampler (Andersen Model SA-241) and a MOUDI (MSP Model 110) over a 24-h period from May 2011 to November 2011 at Shinjung station. Samples were analyzed for metallic trace elements using ion coupled plasma mass spectroscopy (ICP-MS) and ionic compounds by ion chromatography (IC). The average concentrations of PM 10 , PM 2.5 and PM 0.1 were found to be 39.45 ± 11.58, 21.82 ± 7.50 and 1.42 ± 0.56 μg/m 3 , respectively. Based on the chemical information, positive matrix factorization (PMF) was used to identify PM sources. A total of five source types were identified, including soil dust, vehicle emissions, sea salt, industrial emissions and secondary aerosols, and their contributions were estimated using PMF. The crustal enrichment factors (EF) were calculated using Al as a reference for the trace metal species to identify the sources. Conditional probability functions (CPF) were computed using wind profiles and factor contributions. The results of CPF analysis were used to identify local point sources. The results suggest a competitive relationship between anthropogenic and natural source processes over the monitoring station.

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“…BC in fine filters were determined by reflectance method using EEL Smoke stain reflectometer (Model 43D). Reflectometer has been calibrated using preselected clean control filter taken from the same batch and the calibration was repeated after the analysis of few filter samples as mentioned by Vallius et al (2005).…”

Section: Elemental and Bc Characterizationmentioning

confidence: 99%

Comparison of Two Receptor Model Techniques for the Size Fractionated Particulate Matter Source Apportionment

Parthasarathy

Sahu

Pandit

2016

Aerosol Air Qual. Res.

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The goal of the study is to investigate elemental concentrations and source signatures of particulate matter at a selected receptor site in an urban area Navi Mumbai which is one of the hot spots of India with heavy industrialization. To achieve the objective, particulate matter samples were collected from 2008-2010 using Gent sampler with the automatic dichotomous size segregation unit. It was observed that the three year average concentrations of coarse ((PM 10-2.5µm ) and fine (PM 2.5µm ) fractions of PM were 89.92 (µg m -3 ) and 42.25 (µg m -3 ) respectively which were higher than the national standards prescribed by Central Pollution Control Board (CPCB), India. Subsequent elemental analysis of air filters using INAA and EDXRF showed marginally higher levels of anthropogenic derived elements. Furthermore, in the present study potentially contributing sources of coarse and fine PM were identified using two different receptor model techniques Factor Analysis (FA) and Positive Matrix Factorization (PMF). Six possible contributing sources of coarse fraction and seven probable sources of fine PM were identified by both the techniques. Further, sources identified by the receptor techniques and the comparability between the two techniques were also evaluated.

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Sources and elemental composition of ambient PM2.5 in three European cities

Cited by 158 publications

References 18 publications

Analysis of Trace Elements and Ions in Ambient Fine Particulate Matter at Three Elementary Schools in Ohio

Analysis of Trace Elements and Ions in Ambient Fine Particulate Matter at Three Elementary Schools in Ohio

Source Characterization and Apportionment of PM10, PM2.5 and PM0.1 by Using Positive Matrix Factorization

Comparison of Two Receptor Model Techniques for the Size Fractionated Particulate Matter Source Apportionment

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