Source apportionment by PMF on elemental concentrations obtained by PIXE analysis of PM10 samples collected at the vicinity of lignite power plants and mines in Megalopolis, Greece

Manousakas, M.; Diapouli, Evangelia; Papaefthymiou, H.; Migliori, A.; Karydas, A. G.; Padilla-Álvarez, R.; Bogovać, M.; Kaiser, Ralf; Jakšić, Milko; Bogdanović-Radović, Ivančica; Eleftheriadis, Konstantinos

doi:10.1016/j.nimb.2015.02.037

Cited by 72 publications

(46 citation statements)

References 65 publications

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“…The African dust contribution to PM concentrations was found to be more pronounced in the eastern Mediterranean (Athens), with peak concentrations during springtime reaching up to 127 µg m −3 (maximum 24 h mean dust concentration during a 15-day dust transport event in May 2013). Previous studies have also reported the high impact of dust transport events in Athens and Greece in general (Manousakas et al, 2015;Grigoropoulos et al, 2009;Mitsakou et al, 2008). The mean annual relative contributions of African dust to the PM 10 concentrations decreased from east to west: 21 % in Athens, 5 % in Florence, and ∼ 2 % in Milan, Barcelona and Porto.…”

Section: Contribution Of Natural Sources To Pm Concentrations and Excmentioning

confidence: 81%

AIRUSE-LIFE +: estimation of natural source contributions to urban ambient air PM10 and PM2. 5 concentrations in southern Europe – implications to compliance with limit values

et al. 2017

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Abstract. The contribution of natural sources to ambient air particulate matter (PM) concentrations is often not considered; however, it may be significant for certain areas and during specific periods of the year. In the framework of the AIRUSE-LIFE+ project, state-of-the-art methods have been employed for assessing the contribution of major natural sources (African dust, sea salt and forest fires) to PM concentrations, in southern European urban areas. 24 h measurements of PM 10 and PM 2.5 mass and chemical composition were performed over the course of a year in five cities: Porto, Barcelona, Milan, Florence and Athens. Net African dust and sea-salt concentrations were calculated based on the methodologies proposed by the EC (SEC 2011/208). The contribution of uncontrolled forest fires was calculated through receptor modelling. Sensitivity analysis with respect to the calculation of African dust was also performed, in order to identify major parameters affecting the estimated net dust concentrations. African dust contribution to PM concentrations was more pronounced in the eastern Mediterranean, with the mean annual relative contribution to PM 10 decreasing from 21 % in Athens, to 5 % in Florence, and around 2 % in Milan, Barcelona and Porto. The respective contribution to PM 2.5 was calculated equal to 14 % in Athens and from 1.3 to 2.4 % in all other cities. High seasonal variability of contributions was observed, with dust transport events occurring at different periods in the western and eastern Mediterranean basin. Sea salt was mostly related to the coarse mode and also exhibited significant seasonal variability. Sea-salt concentrations were highest in Porto, with average relative contributions equal to 12.3 % for PM 10 . Contributions from uncontrolled forest fires were quantified only for Porto and were low on an annual basis (1.4 and 1.9 % to PM 10 and PM 2.5 , respectively); nevertheless, contributions were greatly increased during events, reaching 20 and 22 % of 24 h PM 10 and PM 2.5 concentrations, respectively.

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Section: Contribution Of Natural Sources To Pm Concentrations and Excmentioning

confidence: 81%

AIRUSE-LIFE +: estimation of natural source contributions to urban ambient air PM10 and PM2. 5 concentrations in southern Europe – implications to compliance with limit values

et al. 2017

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“…This factor consists large fraction of Mn (49.93%), Zn (52.44%), Cr (35.29%), Cu (22.75%). Cr, Cu and Zn are tracers of traffic (Bozlaker et al, 2014;Manousakas et al, 2015). Cu and Zn are major additives to lubricating oils (Gugamsetty et al, 2012); Zn and Mn emissions are also linked to other transportation activities such as brake and tire wear (Yu et al, 2013).…”

Section: Source Identification and Apportionment By Pmfmentioning

confidence: 99%

“…The geographical and meteorological conditions, such as temperature, wind speed, wind direction, pressure, etc., may influence the air pollution (Manousakas et al, 2015). Typical sources of air pollution in big cities can be vehicle emissions, dust resuspension, secondary aerosol formation, industrial emissions, biomass or coal burning, power plant emissions etc.…”

Section: Introductionmentioning

confidence: 99%

Characteristics and Source Analysis of Trace Elements in PM2.5 in the Urban Atmosphere of Wuhan in Spring

Acciai

Zhang

Wang

et al. 2017

Aerosol Air Qual. Res.

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The concentrations of PM 2.5 and trace elements with hourly resolution were measured during May 2014 in urban residential area of Wuhan, the biggest city in central China. During the period of measurement, the average temperature was approximate 25°C without domestic heating and cooling. The average concentration of PM 2.5 was 95.53 µg m -3 , which was higher than the limit of Ambient Air Quality Standard of China GB3095-2012 (75 µg m -3 , Level 2). A sand storm original from Northwestern China was also recorded. Concentrations of major trace elements (K, Ca, V, Cr, Mn, Fe, Ni, Cu, Zn, Ga, As, Se, Pd, Ag, Cd, Au, Hg, Pb, Co, Sn, Sb, Tl) were comparable to previous studies, except for Ba and Ca with more than doubled concentrations (103 ng m -3 , 1,792.49 ng m -3 ) due to the storm. Enrichment Factor (EF) and Positive Matrix Factorization (PMF) were employed to characterize the emission sources. The computation of EF showed that Zincs was highly enriched. Four sources, biomass burning (63.2%) might mainly related to power plants using biowaste burning and bio-related cooking activities, metallurgical and steel industries (14%), dust crustal (12.5%) and dust associated with vehicular traffic (10.4%), were identified in decreasing order of average percentage contribution to the PM 2.5 mass with the aid of trace elements. The orientations of emission sources were also addressed.

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“…Source apportionment is the practice of deriving information about pollution sources and the amount they contribute to ambient air pollution levels [22,23]. The application of receptor modelling using aerosol and biomonitors chemical composition data is a reliable method that can provide information on emission sources.…”

Section: Source Apportionmentmentioning

confidence: 99%

Source apportionment by positive matrix factorization on elemental concentration obtained in PM10 and biomonitors collected in the vicinities of a steelworks

Lage

Wolterbeek

Reis

et al. 2016

J Radioanal Nucl Chem

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The objective of this study was to assess the impact of steelworks emissions in its vicinity through chemical element analysis. Two approaches were used: instrumental monitoring and biomonitoring using transplanted lichens. Element contents in filters and lichens were determined by k 0 -INAA and PIXE and sources identification was performed by the receptor model positive matrix factorization. PM10 data indicated that the steelworks has an important impact on the air quality, having several sources associated with its processes been identified. Lichen analyses showed that this impact decrease significantly with the distance to the factory.

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Source apportionment by PMF on elemental concentrations obtained by PIXE analysis of PM10 samples collected at the vicinity of lignite power plants and mines in Megalopolis, Greece

Cited by 72 publications

References 65 publications

AIRUSE-LIFE +: estimation of natural source contributions to urban ambient air PM<sub>10</sub> and PM<sub>2. 5</sub> concentrations in southern Europe – implications to compliance with limit values

AIRUSE-LIFE +: estimation of natural source contributions to urban ambient air PM<sub>10</sub> and PM<sub>2. 5</sub> concentrations in southern Europe – implications to compliance with limit values

Characteristics and Source Analysis of Trace Elements in PM2.5 in the Urban Atmosphere of Wuhan in Spring

Source apportionment by positive matrix factorization on elemental concentration obtained in PM10 and biomonitors collected in the vicinities of a steelworks

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Source apportionment by PMF on elemental concentrations obtained by PIXE analysis of PM10 samples collected at the vicinity of lignite power plants and mines in Megalopolis, Greece

Cited by 72 publications

References 65 publications

AIRUSE-LIFE +: estimation of natural source contributions to urban ambient air PM&lt;sub&gt;10&lt;/sub&gt; and PM&lt;sub&gt;2. 5&lt;/sub&gt; concentrations in southern Europe – implications to compliance with limit values

AIRUSE-LIFE +: estimation of natural source contributions to urban ambient air PM&lt;sub&gt;10&lt;/sub&gt; and PM&lt;sub&gt;2. 5&lt;/sub&gt; concentrations in southern Europe – implications to compliance with limit values

Characteristics and Source Analysis of Trace Elements in PM2.5 in the Urban Atmosphere of Wuhan in Spring

Source apportionment by positive matrix factorization on elemental concentration obtained in PM10 and biomonitors collected in the vicinities of a steelworks

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AIRUSE-LIFE +: estimation of natural source contributions to urban ambient air PM<sub>10</sub> and PM<sub>2. 5</sub> concentrations in southern Europe – implications to compliance with limit values

AIRUSE-LIFE +: estimation of natural source contributions to urban ambient air PM<sub>10</sub> and PM<sub>2. 5</sub> concentrations in southern Europe – implications to compliance with limit values