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The Use of Carbonaceous Particle Exposure Metrics in Health Impact Calculations
Stockholm University, Faculty of Science, Department of Environmental Science and Analytical Chemistry.
Stockholm University, Faculty of Science, Department of Environmental Science and Analytical Chemistry. SLB, Sweden.
Number of Authors: 3
2016 (English)In: International Journal of Environmental Research and Public Health, ISSN 1660-4601, E-ISSN 1660-4601, Vol. 13, no 3, 249Article in journal (Refereed) Published
Abstract [en]

Combustion-related carbonaceous particles seem to be a better indicator of adverse health effects compared to PM2.5 and PM10. Historical studies are based on black smoke (BS), but more recent studies use absorbance (Abs), black carbon (BC) or elemental carbon (EC) as exposure indicators. To estimate health risks based on BS, we review the literature regarding the relationship between Abs, BS, BC and EC. We also discuss the uncertainties associated with the comparison of relative risks (RRs) based on these conversions. EC is reported to represent a proportion between 5.2% and 27% of BS with a mean value of 12%. Correlations of different metrics at one particular site are higher than when different sites are compared. Comparing all traffic, urban and rural sites, there is no systematic site dependence, indicating that other properties of the particles or errors affect the measurements and obscure the results. It is shown that the estimated daily mortality associated with short-term levels of EC is in the same range as PM10, but this is highly dependent on the EC to BS relationship that is used. RRs for all-cause mortality associated with short-term exposure to PM10 seem to be higher at sites with higher EC concentrations, but more data are needed to verify this.

Place, publisher, year, edition, pages
2016. Vol. 13, no 3, 249
Keyword [en]
black smoke, health effects, PM10, urban air pollution, relative risk, black carbon, combustion-related particles, elemental carbon
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-129999DOI: 10.3390/ijerph13030249ISI: 000373528600032OAI: oai:DiVA.org:su-129999DiVA: diva2:927295
Available from: 2016-05-11 Created: 2016-05-09 Last updated: 2016-07-06Bibliographically approved

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Olstrup, HenrikJohansson, Christer
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Department of Environmental Science and Analytical Chemistry
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