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Biomagnetic monitoring of industry-derived particulate pollution.

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Biomagnetic monitoring of industry-derived particulate pollution. / Hansard, Ruth; Maher, Barbara; Kinnersley, Rob.

In: Environmental Pollution, Vol. 159, No. 6, 06.2011, p. 1673-1681.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Hansard, R, Maher, B & Kinnersley, R 2011, 'Biomagnetic monitoring of industry-derived particulate pollution.', Environmental Pollution, vol. 159, no. 6, pp. 1673-1681. https://doi.org/10.1016/j.envpol.2011.02.039

APA

Hansard, R., Maher, B., & Kinnersley, R. (2011). Biomagnetic monitoring of industry-derived particulate pollution. Environmental Pollution, 159(6), 1673-1681. https://doi.org/10.1016/j.envpol.2011.02.039

Vancouver

Author

Hansard, Ruth ; Maher, Barbara ; Kinnersley, Rob. / Biomagnetic monitoring of industry-derived particulate pollution. In: Environmental Pollution. 2011 ; Vol. 159, No. 6. pp. 1673-1681.

Bibtex

@article{fc1e71a2edc7441587be342fbc235c3d,
title = "Biomagnetic monitoring of industry-derived particulate pollution.",
abstract = "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 intercalibration. 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.",
keywords = "Magnetic biomonitoring, Deposition velocity , PM10 monitoring , Tree leaves , Source attribution",
author = "Ruth Hansard and Barbara Maher and Rob Kinnersley",
year = "2011",
month = jun,
doi = "10.1016/j.envpol.2011.02.039",
language = "English",
volume = "159",
pages = "1673--1681",
journal = "Environmental Pollution",
issn = "0269-7491",
publisher = "Elsevier Ltd",
number = "6",

}

RIS

TY - JOUR

T1 - Biomagnetic monitoring of industry-derived particulate pollution.

AU - Hansard, Ruth

AU - Maher, Barbara

AU - Kinnersley, Rob

PY - 2011/6

Y1 - 2011/6

N2 - 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 intercalibration. 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.

AB - 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 intercalibration. 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.

KW - Magnetic biomonitoring

KW - Deposition velocity

KW - PM10 monitoring

KW - Tree leaves

KW - Source attribution

U2 - 10.1016/j.envpol.2011.02.039

DO - 10.1016/j.envpol.2011.02.039

M3 - Journal article

VL - 159

SP - 1673

EP - 1681

JO - Environmental Pollution

JF - Environmental Pollution

SN - 0269-7491

IS - 6

ER -