Identification and verification of ultrafine particle affinity zones in urban neighbourhoods: sample design and data pre-processing

A methodology is presented and validated through which long-term fixed site air quality measurements are used to characterise and remove temporal signals in sample-based measurements which have good spatial coverage but poor temporal resolution. The work has been carried out specifically to provide...

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Detalles Bibliográficos
Autores principales: Harris, Paul, Lindley, Sarah, Gallagher, Martin, Agius, Raymond
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2796501/
https://www.ncbi.nlm.nih.gov/pubmed/20102590
http://dx.doi.org/10.1186/1476-069X-8-S1-S5
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author Harris, Paul
Lindley, Sarah
Gallagher, Martin
Agius, Raymond
author_facet Harris, Paul
Lindley, Sarah
Gallagher, Martin
Agius, Raymond
author_sort Harris, Paul
collection PubMed
description A methodology is presented and validated through which long-term fixed site air quality measurements are used to characterise and remove temporal signals in sample-based measurements which have good spatial coverage but poor temporal resolution. The work has been carried out specifically to provide a spatial dataset of atmospheric ultrafine particle (UFP < 100 nm) data for ongoing epidemiologic cohort analysis but the method is readily transferable to wider epidemiologic investigations and research into the health effects of other pollutant species.
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spelling pubmed-27965012009-12-22 Identification and verification of ultrafine particle affinity zones in urban neighbourhoods: sample design and data pre-processing Harris, Paul Lindley, Sarah Gallagher, Martin Agius, Raymond Environ Health Research A methodology is presented and validated through which long-term fixed site air quality measurements are used to characterise and remove temporal signals in sample-based measurements which have good spatial coverage but poor temporal resolution. The work has been carried out specifically to provide a spatial dataset of atmospheric ultrafine particle (UFP < 100 nm) data for ongoing epidemiologic cohort analysis but the method is readily transferable to wider epidemiologic investigations and research into the health effects of other pollutant species. BioMed Central 2009-12-21 /pmc/articles/PMC2796501/ /pubmed/20102590 http://dx.doi.org/10.1186/1476-069X-8-S1-S5 Text en Copyright ©2009 Harris et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Harris, Paul
Lindley, Sarah
Gallagher, Martin
Agius, Raymond
Identification and verification of ultrafine particle affinity zones in urban neighbourhoods: sample design and data pre-processing
title Identification and verification of ultrafine particle affinity zones in urban neighbourhoods: sample design and data pre-processing
title_full Identification and verification of ultrafine particle affinity zones in urban neighbourhoods: sample design and data pre-processing
title_fullStr Identification and verification of ultrafine particle affinity zones in urban neighbourhoods: sample design and data pre-processing
title_full_unstemmed Identification and verification of ultrafine particle affinity zones in urban neighbourhoods: sample design and data pre-processing
title_short Identification and verification of ultrafine particle affinity zones in urban neighbourhoods: sample design and data pre-processing
title_sort identification and verification of ultrafine particle affinity zones in urban neighbourhoods: sample design and data pre-processing
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2796501/
https://www.ncbi.nlm.nih.gov/pubmed/20102590
http://dx.doi.org/10.1186/1476-069X-8-S1-S5
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