Characterisation and calibration of low-cost PM sensors at high temporal resolution to reference-grade performance.
| Autor: | Bulot FMJ; Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK.; Southampton Marine and Maritime Institute, University of Southampton, Southampton, UK., Ossont SJ; BizData, 278 Collins St, Melbourne, VIC, 3000, Australia., Morris AKR; National Oceanography Centre, Southampton, UK., Basford PJ; Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK., Easton NHC; Southampton Marine and Maritime Institute, University of Southampton, Southampton, UK.; National Oceanography Centre, Southampton, UK.; Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK.; School of Ocean and Earth Science, National Oceanography Centre, University of Southampton, UK., Mitchell HL; Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK., Foster GL; Southampton Marine and Maritime Institute, University of Southampton, Southampton, UK.; Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK.; School of Ocean and Earth Science, National Oceanography Centre, University of Southampton, UK., Cox SJ; Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK., Loxham M; Southampton Marine and Maritime Institute, University of Southampton, Southampton, UK.; School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.; National Institute for Health Research Southampton Biomedical Research Centre, Southampton, UK.; Institute for Life Sciences, University of Southampton, Southampton, UK. |
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| Jazyk: | angličtina |
| Zdroj: | Heliyon [Heliyon] 2023 Apr 29; Vol. 9 (5), pp. e15943. Date of Electronic Publication: 2023 Apr 29 (Print Publication: 2023). |
| DOI: | 10.1016/j.heliyon.2023.e15943 |
| Abstrakt: | Particulate Matter (PM) low-cost sensors (LCS) present a cost-effective opportunity to improve the spatiotemporal resolution of airborne PM data. Previous studies focused on PM-LCS-reported hourly data and identified, without fully addressing, their limitations. However, PM-LCS provide measurements at finer temporal resolutions. Furthermore, government bodies have developed certifications to accompany new uses of these sensors, but these certifications have shortcomings. To address these knowledge gaps, PM-LCS of two models, 8 Sensirion SPS30 and 8 Plantower PMS5003, were collocated for one year with a Fidas 200S, MCERTS-certified PM monitor and were characterised at 2 min resolution, enabling replication of certification processes, and highlighting their limitations and improvements. Robust linear models using sensor-reported particle number concentrations and relative humidity, coupled with 2-week biannual calibration campaigns, achieved reference-grade performance, at median PM Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (© 2023 The Authors.) |
| Databáze: | MEDLINE |
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