Spatial variation of PM elemental composition between and within 20 European study areas - Results of the ESCAPE project
article
Tsai, M.Y.
Hoek, G.
Eeftens, M.
Hoogh, K. de
Beelen, R.
Beregszászi, T.
Cesaroni, G.
Cirach, M.
Cyrys, J.
Nazelle, A. de
Vocht, F. de
Ducret-Stich, R.
Eriksen, K.
Galassi, C.
Gražuleviciene, R.
Gražulevicius, T.
Grivas, G.
Gryparis, A.
Heinrich, J.
Hoffmann, B.
Iakovides, M.
Keuken, M.
Krämer, U.
Künzli, N.
Lanki, T.
Madsen, C.
Meliefste, K.
Merritt, A.S.
Mölter, A.
Mosler, G.
Nieuwenhuijsen, M.J.
Pershagen, G.
Phuleria, H.
Quass, U.
Ranzi, A.
Schaffner, E.
Sokhi, R.
Stempfelet, M.
Stephanou, E.
Sugiri, D.
Taimisto, P.
Tewis, M.
Udvardy, O.
Wang, M.
Brunekreef, B.
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<inf>2.5</inf> and PM<inf>10</inf> 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<inf>2.5</inf> and PM<inf>10</inf> 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<inf>2.5</inf> and from 0.93 (V) to 2.28 (Cu) for PM<inf>10</inf>.Our selected PM elements were variably correlated with the main pollutants (PM<inf>2.5</inf>, PM<inf>10</inf>, PM<inf>2.5</inf> absorbance, NO<inf>2</inf> and NO<inf>x</inf>) 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<inf>10</inf>_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<inf>2</inf> and soot, signaling the importance of non-tailpipe (e.g., brake wear) emissions in PM. © 2015 Elsevier Ltd.
Chemicals/CAS: copper, 15158-11-9, 7440-50-8; iron, 14093-02-8, 53858-86-9, 7439-89-6; nickel, 7440-02-0; nitrogen oxide, 11104-93-1; potassium, 7440-09-7; silicon, 7440-21-3; sulfur, 13981-57-2, 7704-34-9; vanadium, 7440-62-2; zinc, 7440-66-6, 14378-32-6
Chemicals/CAS: copper, 15158-11-9, 7440-50-8; iron, 14093-02-8, 53858-86-9, 7439-89-6; nickel, 7440-02-0; nitrogen oxide, 11104-93-1; potassium, 7440-09-7; silicon, 7440-21-3; sulfur, 13981-57-2, 7704-34-9; vanadium, 7440-62-2; zinc, 7440-66-6, 14378-32-6
Topics
TNO Identifier
528227
ISSN
01604120
Source
Environment International, 84, pp. 181-192.
Publisher
Elsevier Ltd
Article nr.
3014
Pages
181-192
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