| Literature DB >> 26342569 |
Ming-Yi Tsai1, Gerard Hoek2, Marloes Eeftens3, Kees de Hoogh4, Rob Beelen2, Timea Beregszászi5, Giulia Cesaroni6, Marta Cirach7, Josef Cyrys8, Audrey De Nazelle9, Frank de Vocht10, Regina Ducret-Stich11, Kirsten Eriksen12, Claudia Galassi13, Regina Gražuleviciene14, Tomas Gražulevicius14, Georgios Grivas15, Alexandros Gryparis16, Joachim Heinrich17, Barbara Hoffmann18, Minas Iakovides19, Menno Keuken20, Ursula Krämer18, Nino Künzli11, Timo Lanki21, Christian Madsen22, Kees Meliefste2, Anne-Sophie Merritt23, Anna Mölter24, Gioia Mosler25, Mark J Nieuwenhuijsen26, Göran Pershagen23, Harish Phuleria27, Ulrich Quass28, Andrea Ranzi29, Emmanuel Schaffner11, Ranjeet Sokhi30, Morgane Stempfelet31, Euripides Stephanou19, Dorothea Sugiri18, Pekka Taimisto21, Marjan Tewis2, Orsolya Udvardy5, Meng Wang32, Bert Brunekreef33.
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 PM2.5 and PM10 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 PM2.5 and PM10 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 PM2.5 and from 0.93 (V) to 2.28 (Cu) for PM10. Our selected PM elements were variably correlated with the main pollutants (PM2.5, PM10, PM2.5 absorbance, NO2 and NOx) 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 PM10_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 NO2 and soot, signaling the importance of non-tailpipe (e.g., brake wear) emissions in PM.Entities:
Keywords: Air pollution; Energy-dispersive X-ray fluorescence (ED-XRF); Exposure assessment; PM composition; PM(10); PM(2.5); Spatial contrasts; Trace elements
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Year: 2015 PMID: 26342569 DOI: 10.1016/j.envint.2015.04.015
Source DB: PubMed Journal: Environ Int ISSN: 0160-4120 Impact factor: 9.621