Journal
ENVIRONMENTAL POLLUTION
Volume 159, Issue 6, Pages 1673-1681Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2011.02.039
Keywords
Magnetic biomonitoring; Deposition velocity; PM10 monitoring; Tree leaves; Source attribution
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Funding
- NERC
- Royal Society
- Natural Environment Research Council [ceh010010] Funding Source: researchfish
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Clear association exists between ambient PM10 concentrations and adverse health outcomes. However, determination of the strength of associations between exposure and illness is limited by low spatial-resolution of particulate concentration measurements. Conventional fixed monitoring stations provide high temporal-resolution data, but cannot capture fine-scale spatial variations. Here we examine the utility of biomagnetic monitoring for spatial mapping of PM10 concentrations around a major industrial site. We combine leaf magnetic measurements with co-located PM10 measurements to achieve inter-calibration. Comparison of the leaf-calculated and measured PM10 concentrations with PM10 predictions from a widely-used atmospheric dispersion model indicates that modelling of stack emissions alone substantially under-predicts ambient PM10 concentrations in parts of the study area. Some of this discrepancy might be attributable to fugitive emissions from the industrial site. The composition of the magnetic particulates from vehicle and industry-derived sources differ, indicating the potential of magnetic techniques for source attribution. (C) 2011 Elsevier Ltd. All rights reserved.
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