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Spatial variation of PM elemental composition between and within 20 European study areas — Results of the ESCAPE project.

Authors :
Tsai, Ming-Yi
Hoek, Gerard
Eeftens, Marloes
de Hoogh, Kees
Beelen, Rob
Beregszászi, Timea
Cesaroni, Giulia
Cirach, Marta
Cyrys, Josef
De Nazelle, Audrey
de Vocht, Frank
Ducret-Stich, Regina
Eriksen, Kirsten
Galassi, Claudia
Gražuleviciene, Regina
Gražulevicius, Tomas
Grivas, Georgios
Gryparis, Alexandros
Heinrich, Joachim
Hoffmann, Barbara
Source :
Environment International. Nov2015, Vol. 84, p181-192. 12p.
Publication Year :
2015

Abstract

An increasing number of epidemiological studies suggest that adverse health effects of air pollution may be related to particulate matter (PM) composition, particularly trace metals. However, we lack comprehensive data on the spatial distribution of these elements. We measured PM 2.5 and PM 10 in twenty study areas across Europe in three seasonal two-week periods over a year using Harvard impactors and standardized protocols. In each area, we selected street (ST), urban (UB) and regional background (RB) sites (totaling 20) to characterize local spatial variability. Elemental composition was determined by energy-dispersive X-ray fluorescence analysis of all PM 2.5 and PM 10 filters. We selected a priori eight (Cu, Fe, K, Ni, S, Si, V, Zn) well-detected elements of health interest, which also roughly represented different sources including traffic, industry, ports, and wood burning. PM elemental composition varied greatly across Europe, indicating different regional influences. Average street to urban background ratios ranged from 0.90 (V) to 1.60 (Cu) for PM 2.5 and from 0.93 (V) to 2.28 (Cu) for PM 10 . Our selected PM elements were variably correlated with the main pollutants (PM 2.5 , PM 10 , PM 2.5 absorbance, NO 2 and NO x ) across Europe: in general, Cu and Fe in all size fractions were highly correlated (Pearson correlations above 0.75); Si and Zn in the coarse fractions were modestly correlated (between 0.5 and 0.75); and the remaining elements in the various size fractions had lower correlations (around 0.5 or below). This variability in correlation demonstrated the distinctly different spatial distributions of most of the elements. Variability of PM 10 _Cu and Fe was mostly due to within-study area differences (67% and 64% of overall variance, respectively) versus between-study area and exceeded that of most other traffic-related pollutants, including NO 2 and soot, signaling the importance of non-tailpipe (e.g., brake wear) emissions in PM. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01604120
Volume :
84
Database :
Academic Search Index
Journal :
Environment International
Publication Type :
Academic Journal
Accession number :
109397402
Full Text :
https://doi.org/10.1016/j.envint.2015.04.015