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On thresholds for controlling negative particle (PM(2.5)) readings in air quality reporting
Ambient PM(2.5) (particles less than 2.5 μm in diameter) is monitored in many countries including Australia. Occasionally PM(2.5) instruments may report negative measurements, although in realty the ambient air can never contain negative amounts of particles. Some negative readings are caused by ins...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497433/ https://www.ncbi.nlm.nih.gov/pubmed/37698727 http://dx.doi.org/10.1007/s10661-023-11750-4 |
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author | Jiang, Ningbo Akter, Rinat Ross, Glenn White, Stephen Kirkwood, John Gunashanhar, Gunaratnam Thompson, Scott Riley, Matthew Azzi, Merched |
author_facet | Jiang, Ningbo Akter, Rinat Ross, Glenn White, Stephen Kirkwood, John Gunashanhar, Gunaratnam Thompson, Scott Riley, Matthew Azzi, Merched |
author_sort | Jiang, Ningbo |
collection | PubMed |
description | Ambient PM(2.5) (particles less than 2.5 μm in diameter) is monitored in many countries including Australia. Occasionally PM(2.5) instruments may report negative measurements, although in realty the ambient air can never contain negative amounts of particles. Some negative readings are caused by instrument faults or procedural errors, thus can be simply invalidated from air quality reporting. There are occasions, however, when negative readings occur due to other factors including technological or procedural limitations. Treatment of such negative data requires consideration of factors such as measurement uncertainty, instrument noise and risk for significant bias in air quality reporting. There is very limited documentation on handling negative PM(2.5) data in the literature. This paper demonstrates how a threshold is determined for controlling negative hourly PM(2.5) readings in the New South Wales (NSW) air quality data system. The investigation involved a review of thresholds used in different data systems and an assessment of instrument measurement uncertainties, zero air test data and impacts on key reporting statistics when applying different thresholds to historical datasets. The results show that a threshold of −10.0 μg/m(3) appears optimal for controlling negative PM(2.5) data in public reporting. This choice is consistent with the measurement uncertainty estimates and the zero air test data statistics calculated for the NSW Air Quality Monitoring Network, and is expected not to have significant impacts on key compliance reporting statistics such as data availability and annual average pollution levels. The analysis can be useful for air quality monitoring in other Australian jurisdictions or wider context. |
format | Online Article Text |
id | pubmed-10497433 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-104974332023-09-14 On thresholds for controlling negative particle (PM(2.5)) readings in air quality reporting Jiang, Ningbo Akter, Rinat Ross, Glenn White, Stephen Kirkwood, John Gunashanhar, Gunaratnam Thompson, Scott Riley, Matthew Azzi, Merched Environ Monit Assess Research Ambient PM(2.5) (particles less than 2.5 μm in diameter) is monitored in many countries including Australia. Occasionally PM(2.5) instruments may report negative measurements, although in realty the ambient air can never contain negative amounts of particles. Some negative readings are caused by instrument faults or procedural errors, thus can be simply invalidated from air quality reporting. There are occasions, however, when negative readings occur due to other factors including technological or procedural limitations. Treatment of such negative data requires consideration of factors such as measurement uncertainty, instrument noise and risk for significant bias in air quality reporting. There is very limited documentation on handling negative PM(2.5) data in the literature. This paper demonstrates how a threshold is determined for controlling negative hourly PM(2.5) readings in the New South Wales (NSW) air quality data system. The investigation involved a review of thresholds used in different data systems and an assessment of instrument measurement uncertainties, zero air test data and impacts on key reporting statistics when applying different thresholds to historical datasets. The results show that a threshold of −10.0 μg/m(3) appears optimal for controlling negative PM(2.5) data in public reporting. This choice is consistent with the measurement uncertainty estimates and the zero air test data statistics calculated for the NSW Air Quality Monitoring Network, and is expected not to have significant impacts on key compliance reporting statistics such as data availability and annual average pollution levels. The analysis can be useful for air quality monitoring in other Australian jurisdictions or wider context. Springer International Publishing 2023-09-12 2023 /pmc/articles/PMC10497433/ /pubmed/37698727 http://dx.doi.org/10.1007/s10661-023-11750-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Jiang, Ningbo Akter, Rinat Ross, Glenn White, Stephen Kirkwood, John Gunashanhar, Gunaratnam Thompson, Scott Riley, Matthew Azzi, Merched On thresholds for controlling negative particle (PM(2.5)) readings in air quality reporting |
title | On thresholds for controlling negative particle (PM(2.5)) readings in air quality reporting |
title_full | On thresholds for controlling negative particle (PM(2.5)) readings in air quality reporting |
title_fullStr | On thresholds for controlling negative particle (PM(2.5)) readings in air quality reporting |
title_full_unstemmed | On thresholds for controlling negative particle (PM(2.5)) readings in air quality reporting |
title_short | On thresholds for controlling negative particle (PM(2.5)) readings in air quality reporting |
title_sort | on thresholds for controlling negative particle (pm(2.5)) readings in air quality reporting |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497433/ https://www.ncbi.nlm.nih.gov/pubmed/37698727 http://dx.doi.org/10.1007/s10661-023-11750-4 |
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