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Practicalities of mapping PM(10) and PM(2.5) concentrations on city-wide scales using a portable particulate monitor

Fine particulate matter is considered to be the most significant ambient air pollutant in terms of potential health impacts. Therefore, it is important that regulators are able to accurately assess the exposure of populations to PM(10) and PM(2.5) across municipal areas. We report on the practicalit...

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Detalles Bibliográficos
Autores principales: Deary, Michael E., Bainbridge, Samantha J., Kerr, Amy, McAllister, Adam, Shrimpton, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5093208/
https://www.ncbi.nlm.nih.gov/pubmed/27867427
http://dx.doi.org/10.1007/s11869-016-0394-3
Descripción
Sumario:Fine particulate matter is considered to be the most significant ambient air pollutant in terms of potential health impacts. Therefore, it is important that regulators are able to accurately assess the exposure of populations to PM(10) and PM(2.5) across municipal areas. We report on the practicalities of using a laser light scattering portable particulate monitor (Turnkey Instruments DustMate), in combination with a GPS, to map PM(10) and PM(2.5) concentrations on city-wide scales in Newcastle upon Tyne/Gateshead (UK), during a series of walking surveys. A heated inlet is necessary to remove moisture droplets from the sampled air prior to analysis by the instrument, though this also results in the loss of volatile particulate components, particularly from the PM(2.5) fraction. A co-location calibration study was carried out with a reference urban background Tapered Element Oscillating Micro-Balance/Filter Dynamics Measuring System (TEOM-FDMS) system in Newcastle that is part of the UK’s Automatic Urban and Rural Network (AURN) of air quality monitoring stations. For PM(10), orthogonal regression of the DustMate against TEOM-FDMS data gave a slope and intercept of 1.02 ± 0.06 and −3.7 ± 1.2, respectively (R (2) = 0.73), whereas for PM(2.5), the respective values were 0.78 ± 0.06 and −0.63 ± 0.55 (R (2) = 0.79). These parameters are comparable to literature calibration studies using this technology. There was good agreement between simultaneous samples taken using two DustMate instruments: for PM(10), a slope and intercept of 1.05 ± 0.03 and 0.36 ± 0.5, respectively (R (2) = 0.73), were obtained, whereas for the PM(2.5), the respective values were 0.79 ± 0.01 and 0.19 ± 0.06 (R (2) = 0.86). Correction factors based on the slope and intercepts obtained from the calibration exercise were applied to raw data collected from the DustMate. An annually-normalised correction procedure was then used to account for different background particulate concentrations on different sampling days. These corrected PM(10) and PM(2.5) concentrations and corresponding GPS coordinates were displayed on a base map using Google Fusion Tables and Google Earth Professional. Almost all areas surveyed in Newcastle/Gateshead were well below the EU Air Quality Standards for PM(10) and PM(2.5). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11869-016-0394-3) contains supplementary material, which is available to authorized users.