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Evaluation and application of biomagnetic monitoring of traffic-derived particulate pollution.

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Evaluation and application of biomagnetic monitoring of traffic-derived particulate pollution. / Mitchell, R.; Maher, Barbara A.

In: Atmospheric Environment, Vol. 43, No. 13, 04.2009, p. 2095-2103.

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Mitchell, R. ; Maher, Barbara A. / Evaluation and application of biomagnetic monitoring of traffic-derived particulate pollution. In: Atmospheric Environment. 2009 ; Vol. 43, No. 13. pp. 2095-2103.

Bibtex

@article{4371cc89020346cd92ad43bbfecdb37e,
title = "Evaluation and application of biomagnetic monitoring of traffic-derived particulate pollution.",
abstract = "Inhalation of particulate pollutants below 10 μm in size (PM10) is associated with adverse health effects. Here we use magnetic remanence measurements of roadside tree leaves to examine levels of vehicle-derived PM around Lancaster, UK. Leaf saturation remanence (SIRM) values exhibit strong correlation with both the SIRM and particulate mass of co-located, pumped-air samples, indicating that these leaf magnetic values are an effective proxy for ambient PM10 concentrations. Biomagnetic monitoring using tree leaves can thus provide high spatial resolution data sets for assessment of particulate pollution levels at pedestrian-relevant heights. Leaf SIRM values not only increase with proximity to roads with higher traffic volumes, but are also ~ 100 % higher at 0.3 m than at ~ 1.5 – 2 m height. Magnetic and SEM data indicate that the particle populations are dominated by spherical, iron-rich particles ~ 0.1 – 1 μm in diameter, with fewer larger, more angular, silica-rich particles. Comparison of the roadside leaf-calculated PM10 concentrations with PM10 concentrations predicted by a widely-used atmospheric dispersion model (ADMS-urban, CERC Ltd. Cambridge, UK; CERC, 2009), indicates some agreement between them. However, the model under-predicts PM10 concentrations at {\textquoteleft}urban hotspots{\textquoteright} such as major-minor road junctions and traffic lights. Conversely, the model over-predicts PM10 concentrations with distance from the road wherever one tree is screened by another, indicating the filtering/protective effect of roadside trees in leaf.",
keywords = "magnetic biomonitoring, roadside tree leaves, vehicle pollution, atmospheric modelling dispersion, Lancaster, UK",
author = "R. Mitchell and Maher, {Barbara A.}",
year = "2009",
month = apr,
doi = "10.1016/j.atmosenv.2009.01.042",
language = "English",
volume = "43",
pages = "2095--2103",
journal = "Atmospheric Environment",
issn = "1352-2310",
publisher = "PERGAMON-ELSEVIER SCIENCE LTD",
number = "13",

}

RIS

TY - JOUR

T1 - Evaluation and application of biomagnetic monitoring of traffic-derived particulate pollution.

AU - Mitchell, R.

AU - Maher, Barbara A.

PY - 2009/4

Y1 - 2009/4

N2 - Inhalation of particulate pollutants below 10 μm in size (PM10) is associated with adverse health effects. Here we use magnetic remanence measurements of roadside tree leaves to examine levels of vehicle-derived PM around Lancaster, UK. Leaf saturation remanence (SIRM) values exhibit strong correlation with both the SIRM and particulate mass of co-located, pumped-air samples, indicating that these leaf magnetic values are an effective proxy for ambient PM10 concentrations. Biomagnetic monitoring using tree leaves can thus provide high spatial resolution data sets for assessment of particulate pollution levels at pedestrian-relevant heights. Leaf SIRM values not only increase with proximity to roads with higher traffic volumes, but are also ~ 100 % higher at 0.3 m than at ~ 1.5 – 2 m height. Magnetic and SEM data indicate that the particle populations are dominated by spherical, iron-rich particles ~ 0.1 – 1 μm in diameter, with fewer larger, more angular, silica-rich particles. Comparison of the roadside leaf-calculated PM10 concentrations with PM10 concentrations predicted by a widely-used atmospheric dispersion model (ADMS-urban, CERC Ltd. Cambridge, UK; CERC, 2009), indicates some agreement between them. However, the model under-predicts PM10 concentrations at ‘urban hotspots’ such as major-minor road junctions and traffic lights. Conversely, the model over-predicts PM10 concentrations with distance from the road wherever one tree is screened by another, indicating the filtering/protective effect of roadside trees in leaf.

AB - Inhalation of particulate pollutants below 10 μm in size (PM10) is associated with adverse health effects. Here we use magnetic remanence measurements of roadside tree leaves to examine levels of vehicle-derived PM around Lancaster, UK. Leaf saturation remanence (SIRM) values exhibit strong correlation with both the SIRM and particulate mass of co-located, pumped-air samples, indicating that these leaf magnetic values are an effective proxy for ambient PM10 concentrations. Biomagnetic monitoring using tree leaves can thus provide high spatial resolution data sets for assessment of particulate pollution levels at pedestrian-relevant heights. Leaf SIRM values not only increase with proximity to roads with higher traffic volumes, but are also ~ 100 % higher at 0.3 m than at ~ 1.5 – 2 m height. Magnetic and SEM data indicate that the particle populations are dominated by spherical, iron-rich particles ~ 0.1 – 1 μm in diameter, with fewer larger, more angular, silica-rich particles. Comparison of the roadside leaf-calculated PM10 concentrations with PM10 concentrations predicted by a widely-used atmospheric dispersion model (ADMS-urban, CERC Ltd. Cambridge, UK; CERC, 2009), indicates some agreement between them. However, the model under-predicts PM10 concentrations at ‘urban hotspots’ such as major-minor road junctions and traffic lights. Conversely, the model over-predicts PM10 concentrations with distance from the road wherever one tree is screened by another, indicating the filtering/protective effect of roadside trees in leaf.

KW - magnetic biomonitoring

KW - roadside tree leaves

KW - vehicle pollution

KW - atmospheric modelling dispersion

KW - Lancaster

KW - UK

U2 - 10.1016/j.atmosenv.2009.01.042

DO - 10.1016/j.atmosenv.2009.01.042

M3 - Journal article

VL - 43

SP - 2095

EP - 2103

JO - Atmospheric Environment

JF - Atmospheric Environment

SN - 1352-2310

IS - 13

ER -