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dc.contributor.authorCrosby, C. J.
dc.contributor.authorBooth, Colin A.
dc.contributor.authorWorsley, Annie T.
dc.contributor.authorFullen, Michael A.
dc.contributor.authorSearle, David E.
dc.contributor.authorKhatib, Jamal M.
dc.contributor.authorWinspear, C. M.
dc.date.accessioned2010-04-12T14:26:09Z
dc.date.available2010-04-12T14:26:09Z
dc.date.issued2009
dc.identifier.citationIn: Brebbia, C. A. & Popov, V. (Eds), Air pollution XVII : 153-162
dc.identifier.isbn9781845641955
dc.identifier.urihttp://hdl.handle.net/2436/96309
dc.descriptionReviewed papers accepted for the Seventeenth International Conference on Modelling, Monitoring and Management of Air Pollution held in Tallinn, Estonia in July 2009
dc.description.abstractThe application of mineral magnetic concentration parameters (χLF, χARM and SIRM) as a potential particle size proxy for urban road deposited sediment collected from Scunthorpe, North Lincolnshire, U.K. has been investigated. Correlation analyses between each magnetic parameter and traditional particle size classes (i.e. sand, silt and clay) and respiratory health related size classes (i.e. PM10, PM2.5 and PM1.0) are reported. Significant relationships (p <0.01; n = 35) exist between clay content and two of the magnetic concentration parameters (χARM and SIRM). This is also the same for each of the PM10, PM2.5 and PM1.0 sizes. Of the three magnetic parameters, χARM displays the strongest correlation (r = 0.45; p <0.01; n = 35) values and is the most significant parameter, which is consistent with class sizes of each approach. In doing so, these associations indicate mineral magnetic associations have considerable potential as a particle size proxy for determining urban roadside particulate matter concentrations. Given the speed, low-cost and sensitivity of the measurements, this suggests magnetic techniques could be potentially used as an alternative and/or complementary technology for pilot particulate pollution investigations. Furthermore, in certain instances, it could be useful for examining linkages between respiratory health and particulate pollution and vehicle emissions.
dc.language.isoen
dc.publisherSouthampton : Wessex Institute of Technology Press
dc.relation.ispartofseriesWIT Transactions on Ecology and the Environment
dc.relation.ispartofseries123
dc.relation.urlhttp://www.witpress.com/978-1-84564-195-5.html?keyword=popov
dc.subjectEnvironmental magnetism
dc.subjectParticle size
dc.subjectUrban street dust
dc.subjectBuilt environment
dc.subjectEpidemiology
dc.subjectPublic health
dc.titleApplication of mineral magnetic concentration measurements as a particle-size proxy for urban road deposited sediments
dc.typeChapter in book
dc.identifier.eissn1743-3541
html.description.abstractThe application of mineral magnetic concentration parameters (χLF, χARM and SIRM) as a potential particle size proxy for urban road deposited sediment collected from Scunthorpe, North Lincolnshire, U.K. has been investigated. Correlation analyses between each magnetic parameter and traditional particle size classes (i.e. sand, silt and clay) and respiratory health related size classes (i.e. PM10, PM2.5 and PM1.0) are reported. Significant relationships (p <0.01; n = 35) exist between clay content and two of the magnetic concentration parameters (χARM and SIRM). This is also the same for each of the PM10, PM2.5 and PM1.0 sizes. Of the three magnetic parameters, χARM displays the strongest correlation (r = 0.45; p <0.01; n = 35) values and is the most significant parameter, which is consistent with class sizes of each approach. In doing so, these associations indicate mineral magnetic associations have considerable potential as a particle size proxy for determining urban roadside particulate matter concentrations. Given the speed, low-cost and sensitivity of the measurements, this suggests magnetic techniques could be potentially used as an alternative and/or complementary technology for pilot particulate pollution investigations. Furthermore, in certain instances, it could be useful for examining linkages between respiratory health and particulate pollution and vehicle emissions.


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