Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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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 -