Please use this identifier to cite or link to this item: https://apo.ansto.gov.au/dspace/handle/10238/9563
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dc.contributor.authorCohen, DD-
dc.contributor.authorStelcer, E-
dc.contributor.authorHawas, O-
dc.contributor.authorGarton, D-
dc.date.accessioned2020-06-11T02:03:29Z-
dc.date.available2020-06-11T02:03:29Z-
dc.date.issued2004-06-
dc.identifier.citationCohen, D. D., Stelcer, E., Hawas, O., & Garton, D. (2004). IBA methods for characterisation of fine particulate atmospheric pollution: a local, regional and global research problem. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 219-220: 145-152. doi:10.1016/j.nimb.2004.01.043en_AU
dc.identifier.govdoc9573-
dc.identifier.issn0168-583X-
dc.identifier.urihttps://doi.org/10.1016/j.nimb.2004.01.043en_AU
dc.identifier.urihttp://apo.ansto.gov.au/dspace/handle/10238/9563-
dc.description.abstractThe IBA techniques of PIXE, PIGE, RBS and PESA have been used simultaneously to analyse fine particle pollution collected on Teflon filters. This provided a suite of 23 elements from hydrogen to lead which can be used to characterisation and fingerprint pollution sources and estimate their contributions to the total mass loading. These methods have been demonstrated to be applicable for aerosol pollution studies on a local, regional and even globe scale on time frames from a few days to decades. © 2020 Elsevier B.Ven_AU
dc.language.isoenen_AU
dc.publisherElsevier B. V.en_AU
dc.subjectPIXE analysisen_AU
dc.subjectIon beamsen_AU
dc.subjectPrompt gamma radiationen_AU
dc.subjectRutherford backscattering spectroscopyen_AU
dc.subjectFine particlesen_AU
dc.subjectParticlesen_AU
dc.subjectAerosolsen_AU
dc.subjectFallouten_AU
dc.subjectHydrogenen_AU
dc.subjectPollutionen_AU
dc.subjectAir pollutionen_AU
dc.titleIBA methods for characterisation of fine particulate atmospheric pollution: a local, regional and global research problemen_AU
dc.typeJournal Articleen_AU
dc.date.statistics2020-05-15-
Appears in Collections:Journal Articles

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