Performance and Deployment of Low-Cost Particle Sensor Units to Monitor Biomass Burning Events and Their Application in an Educational Initiative

Biomass burning smoke is often a significant source of airborne fine particles in regional areas where air quality monitoring is scarce. Emerging sensor technology provides opportunities to monitor air quality on a much larger geographical scale with much finer spatial resolution. It can also engage...

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Autores principales:	Fabienne Reisen, Jacinta Cooper, Jennifer C. Powell, Christopher Roulston, Amanda J. Wheeler
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	particulate matter validation smoke sensors STEM air quality Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/fd7f568bb67d4c3fb62a46201746e8f1
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spelling	oai:doaj.org-article:fd7f568bb67d4c3fb62a46201746e8f12021-11-11T19:11:16ZPerformance and Deployment of Low-Cost Particle Sensor Units to Monitor Biomass Burning Events and Their Application in an Educational Initiative10.3390/s212172061424-8220https://doaj.org/article/fd7f568bb67d4c3fb62a46201746e8f12021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7206https://doaj.org/toc/1424-8220Biomass burning smoke is often a significant source of airborne fine particles in regional areas where air quality monitoring is scarce. Emerging sensor technology provides opportunities to monitor air quality on a much larger geographical scale with much finer spatial resolution. It can also engage communities in the conversation around local pollution sources. The SMoke Observation Gadget (SMOG), a unit with a Plantower dust sensor PMS3003, was designed as part of a school-based Science, Technology, Engineering and Mathematics (STEM) project looking at smoke impacts in regional areas of Victoria, Australia. A smoke-specific calibration curve between the SMOG units and a standard regulatory instrument was developed using an hourly data set collected during a peat fire. The calibration curve was applied to the SMOG units during all field-based validation measurements at several locations and during different seasons. The results showed strong associations between individual SMOG units for PM<sub>2.5</sub> concentrations (r<sup>2</sup> = 0.93–0.99) and good accuracy (mean absolute error (MAE) < 2 μg m<sup>−3</sup>). Correlations of the SMOG units to reference instruments also demonstrated strong associations (r<sup>2</sup> = 0.87–95) and good accuracy (MAE of 2.5–3.0 μg m<sup>−3</sup>). The PM<sub>2.5</sub> concentrations tracked by the SMOG units had a similar response time as those measured by collocated reference instruments. Overall, the study has shown that the SMOG units provide relevant information about ambient PM<sub>2.5</sub> concentrations in an airshed impacted predominantly by biomass burning, provided that an adequate adjustment factor is applied.Fabienne ReisenJacinta CooperJennifer C. PowellChristopher RoulstonAmanda J. WheelerMDPI AGarticleparticulate mattervalidationsmokesensorsSTEMair qualityChemical technologyTP1-1185ENSensors, Vol 21, Iss 7206, p 7206 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	particulate matter validation smoke sensors STEM air quality Chemical technology TP1-1185
spellingShingle	particulate matter validation smoke sensors STEM air quality Chemical technology TP1-1185 Fabienne Reisen Jacinta Cooper Jennifer C. Powell Christopher Roulston Amanda J. Wheeler Performance and Deployment of Low-Cost Particle Sensor Units to Monitor Biomass Burning Events and Their Application in an Educational Initiative
description	Biomass burning smoke is often a significant source of airborne fine particles in regional areas where air quality monitoring is scarce. Emerging sensor technology provides opportunities to monitor air quality on a much larger geographical scale with much finer spatial resolution. It can also engage communities in the conversation around local pollution sources. The SMoke Observation Gadget (SMOG), a unit with a Plantower dust sensor PMS3003, was designed as part of a school-based Science, Technology, Engineering and Mathematics (STEM) project looking at smoke impacts in regional areas of Victoria, Australia. A smoke-specific calibration curve between the SMOG units and a standard regulatory instrument was developed using an hourly data set collected during a peat fire. The calibration curve was applied to the SMOG units during all field-based validation measurements at several locations and during different seasons. The results showed strong associations between individual SMOG units for PM<sub>2.5</sub> concentrations (r<sup>2</sup> = 0.93–0.99) and good accuracy (mean absolute error (MAE) < 2 μg m<sup>−3</sup>). Correlations of the SMOG units to reference instruments also demonstrated strong associations (r<sup>2</sup> = 0.87–95) and good accuracy (MAE of 2.5–3.0 μg m<sup>−3</sup>). The PM<sub>2.5</sub> concentrations tracked by the SMOG units had a similar response time as those measured by collocated reference instruments. Overall, the study has shown that the SMOG units provide relevant information about ambient PM<sub>2.5</sub> concentrations in an airshed impacted predominantly by biomass burning, provided that an adequate adjustment factor is applied.
format	article
author	Fabienne Reisen Jacinta Cooper Jennifer C. Powell Christopher Roulston Amanda J. Wheeler
author_facet	Fabienne Reisen Jacinta Cooper Jennifer C. Powell Christopher Roulston Amanda J. Wheeler
author_sort	Fabienne Reisen
title	Performance and Deployment of Low-Cost Particle Sensor Units to Monitor Biomass Burning Events and Their Application in an Educational Initiative
title_short	Performance and Deployment of Low-Cost Particle Sensor Units to Monitor Biomass Burning Events and Their Application in an Educational Initiative
title_full	Performance and Deployment of Low-Cost Particle Sensor Units to Monitor Biomass Burning Events and Their Application in an Educational Initiative
title_fullStr	Performance and Deployment of Low-Cost Particle Sensor Units to Monitor Biomass Burning Events and Their Application in an Educational Initiative
title_full_unstemmed	Performance and Deployment of Low-Cost Particle Sensor Units to Monitor Biomass Burning Events and Their Application in an Educational Initiative
title_sort	performance and deployment of low-cost particle sensor units to monitor biomass burning events and their application in an educational initiative
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/fd7f568bb67d4c3fb62a46201746e8f1
work_keys_str_mv	AT fabiennereisen performanceanddeploymentoflowcostparticlesensorunitstomonitorbiomassburningeventsandtheirapplicationinaneducationalinitiative AT jacintacooper performanceanddeploymentoflowcostparticlesensorunitstomonitorbiomassburningeventsandtheirapplicationinaneducationalinitiative AT jennifercpowell performanceanddeploymentoflowcostparticlesensorunitstomonitorbiomassburningeventsandtheirapplicationinaneducationalinitiative AT christopherroulston performanceanddeploymentoflowcostparticlesensorunitstomonitorbiomassburningeventsandtheirapplicationinaneducationalinitiative AT amandajwheeler performanceanddeploymentoflowcostparticlesensorunitstomonitorbiomassburningeventsandtheirapplicationinaneducationalinitiative
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Performance and Deployment of Low-Cost Particle Sensor Units to Monitor Biomass Burning Events and Their Application in an Educational Initiative

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