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Rapid magnetic biomonitoring and differentiation of atmospheric particulate pollutants at the roadside and around two major industrial sites, U.K..

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Rapid magnetic biomonitoring and differentiation of atmospheric particulate pollutants at the roadside and around two major industrial sites, U.K.. / Hansard, Ruth; Maher, Barbara; Kinnersley, Rob.

In: Environmental Science and Technology, Vol. 46, No. 8, 21.03.2012, p. 4403-4410.

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Hansard, Ruth ; Maher, Barbara ; Kinnersley, Rob. / Rapid magnetic biomonitoring and differentiation of atmospheric particulate pollutants at the roadside and around two major industrial sites, U.K.. In: Environmental Science and Technology. 2012 ; Vol. 46, No. 8. pp. 4403-4410.

Bibtex

@article{006411a0a36646a7a4795d4d154f8ba8,
title = "Rapid magnetic biomonitoring and differentiation of atmospheric particulate pollutants at the roadside and around two major industrial sites, U.K..",
abstract = "Emissions of particulate matter (PM) from vehicle and industrial sources constitute a hazard to human health. Here, we apply biomagnetic monitoring to a) discriminate between potential PM10 sources around a steelworks, and b) examine magnetic source differentiation for a combined, U.K.-based, magnetic dataset (steelworks, roadside, power-generating site). Tree leaves (sampled September 2009, as passive PM receptors) and putative sources were subjected to rapid magnetic characterisation (magnetic remanence measurements). Fuzzy cluster analysis of the combined dataset identified three clusters, showing that particulates emitted from vehicle fleets (e.g. diesel/petrol), and from different industrial processes can be magnetically differentiated. Cluster analysis of the steelworks leaf receptors and potential sources identified seven magnetic groupings. Leaves from one PM {\textquoteleft}hotspot{\textquoteright} showed no affinity with any available source sample, suggesting an as yet untested PM source. These data indicate the value of fast, inexpensive magnetic techniques for particulate source discrimination and indication of {\textquoteleft}missing{\textquoteright} sources.",
author = "Ruth Hansard and Barbara Maher and Rob Kinnersley",
year = "2012",
month = mar,
day = "21",
doi = "10.1021/es203275r",
language = "English",
volume = "46",
pages = "4403--4410",
journal = "Environmental Science and Technology",
issn = "0013-936X",
publisher = "American Chemical Society",
number = "8",

}

RIS

TY - JOUR

T1 - Rapid magnetic biomonitoring and differentiation of atmospheric particulate pollutants at the roadside and around two major industrial sites, U.K..

AU - Hansard, Ruth

AU - Maher, Barbara

AU - Kinnersley, Rob

PY - 2012/3/21

Y1 - 2012/3/21

N2 - Emissions of particulate matter (PM) from vehicle and industrial sources constitute a hazard to human health. Here, we apply biomagnetic monitoring to a) discriminate between potential PM10 sources around a steelworks, and b) examine magnetic source differentiation for a combined, U.K.-based, magnetic dataset (steelworks, roadside, power-generating site). Tree leaves (sampled September 2009, as passive PM receptors) and putative sources were subjected to rapid magnetic characterisation (magnetic remanence measurements). Fuzzy cluster analysis of the combined dataset identified three clusters, showing that particulates emitted from vehicle fleets (e.g. diesel/petrol), and from different industrial processes can be magnetically differentiated. Cluster analysis of the steelworks leaf receptors and potential sources identified seven magnetic groupings. Leaves from one PM ‘hotspot’ showed no affinity with any available source sample, suggesting an as yet untested PM source. These data indicate the value of fast, inexpensive magnetic techniques for particulate source discrimination and indication of ‘missing’ sources.

AB - Emissions of particulate matter (PM) from vehicle and industrial sources constitute a hazard to human health. Here, we apply biomagnetic monitoring to a) discriminate between potential PM10 sources around a steelworks, and b) examine magnetic source differentiation for a combined, U.K.-based, magnetic dataset (steelworks, roadside, power-generating site). Tree leaves (sampled September 2009, as passive PM receptors) and putative sources were subjected to rapid magnetic characterisation (magnetic remanence measurements). Fuzzy cluster analysis of the combined dataset identified three clusters, showing that particulates emitted from vehicle fleets (e.g. diesel/petrol), and from different industrial processes can be magnetically differentiated. Cluster analysis of the steelworks leaf receptors and potential sources identified seven magnetic groupings. Leaves from one PM ‘hotspot’ showed no affinity with any available source sample, suggesting an as yet untested PM source. These data indicate the value of fast, inexpensive magnetic techniques for particulate source discrimination and indication of ‘missing’ sources.

U2 - 10.1021/es203275r

DO - 10.1021/es203275r

M3 - Journal article

VL - 46

SP - 4403

EP - 4410

JO - Environmental Science and Technology

JF - Environmental Science and Technology

SN - 0013-936X

IS - 8

ER -