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Application of an Ultra-Low-Cost Passive Sampler for Light-Absorbing Carbon in Mongolia
Low-cost, long-term measures of air pollution concentrations are often needed for epidemiological studies and policy analyses of household air pollution. The Washington passive sampler (WPS), an ultra-low-cost method for measuring the long-term average levels of light-absorbing carbon (LAC) air poll...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647794/ https://www.ncbi.nlm.nih.gov/pubmed/37960676 http://dx.doi.org/10.3390/s23218977 |
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author | Bekbulat, Bujin Agrawal, Pratyush Allen, Ryan W. Baum, Michael Boldbaatar, Buyantushig Clark, Lara P. Galsuren, Jargalsaikhan Hystad, Perry L’Orange, Christian Vakacherla, Sreekanth Volckens, John Marshall, Julian D. |
author_facet | Bekbulat, Bujin Agrawal, Pratyush Allen, Ryan W. Baum, Michael Boldbaatar, Buyantushig Clark, Lara P. Galsuren, Jargalsaikhan Hystad, Perry L’Orange, Christian Vakacherla, Sreekanth Volckens, John Marshall, Julian D. |
author_sort | Bekbulat, Bujin |
collection | PubMed |
description | Low-cost, long-term measures of air pollution concentrations are often needed for epidemiological studies and policy analyses of household air pollution. The Washington passive sampler (WPS), an ultra-low-cost method for measuring the long-term average levels of light-absorbing carbon (LAC) air pollution, uses digital images to measure the changes in the reflectance of a passively exposed paper filter. A prior publication on WPS reported high precision and reproducibility. Here, we deployed three methods to each of 10 households in Ulaanbaatar, Mongolia: one PurpleAir for PM(2.5); two ultrasonic personal aerosol samplers (UPAS) with quartz filters for the thermal-optical analysis of elemental carbon (EC); and two WPS for LAC. We compared multiple rounds of 4-week-average measurements. The analyses calibrating the LAC to the elemental carbon measurement suggest that 1 µg of EC/m(3) corresponds to 62 PI/month (R(2) = 0.83). The EC-LAC calibration curve indicates an accuracy (root-mean-square error) of 3.1 µg of EC/m(3), or ~21% of the average elemental carbon concentration. The RMSE values observed here for the WPS are comparable to the reported accuracy levels for other methods, including reference methods. Based on the precision and accuracy results shown here, as well as the increased simplicity of deployment, the WPS may merit further consideration for studying air quality in homes that use solid fuels. |
format | Online Article Text |
id | pubmed-10647794 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106477942023-11-05 Application of an Ultra-Low-Cost Passive Sampler for Light-Absorbing Carbon in Mongolia Bekbulat, Bujin Agrawal, Pratyush Allen, Ryan W. Baum, Michael Boldbaatar, Buyantushig Clark, Lara P. Galsuren, Jargalsaikhan Hystad, Perry L’Orange, Christian Vakacherla, Sreekanth Volckens, John Marshall, Julian D. Sensors (Basel) Communication Low-cost, long-term measures of air pollution concentrations are often needed for epidemiological studies and policy analyses of household air pollution. The Washington passive sampler (WPS), an ultra-low-cost method for measuring the long-term average levels of light-absorbing carbon (LAC) air pollution, uses digital images to measure the changes in the reflectance of a passively exposed paper filter. A prior publication on WPS reported high precision and reproducibility. Here, we deployed three methods to each of 10 households in Ulaanbaatar, Mongolia: one PurpleAir for PM(2.5); two ultrasonic personal aerosol samplers (UPAS) with quartz filters for the thermal-optical analysis of elemental carbon (EC); and two WPS for LAC. We compared multiple rounds of 4-week-average measurements. The analyses calibrating the LAC to the elemental carbon measurement suggest that 1 µg of EC/m(3) corresponds to 62 PI/month (R(2) = 0.83). The EC-LAC calibration curve indicates an accuracy (root-mean-square error) of 3.1 µg of EC/m(3), or ~21% of the average elemental carbon concentration. The RMSE values observed here for the WPS are comparable to the reported accuracy levels for other methods, including reference methods. Based on the precision and accuracy results shown here, as well as the increased simplicity of deployment, the WPS may merit further consideration for studying air quality in homes that use solid fuels. MDPI 2023-11-05 /pmc/articles/PMC10647794/ /pubmed/37960676 http://dx.doi.org/10.3390/s23218977 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Bekbulat, Bujin Agrawal, Pratyush Allen, Ryan W. Baum, Michael Boldbaatar, Buyantushig Clark, Lara P. Galsuren, Jargalsaikhan Hystad, Perry L’Orange, Christian Vakacherla, Sreekanth Volckens, John Marshall, Julian D. Application of an Ultra-Low-Cost Passive Sampler for Light-Absorbing Carbon in Mongolia |
title | Application of an Ultra-Low-Cost Passive Sampler for Light-Absorbing Carbon in Mongolia |
title_full | Application of an Ultra-Low-Cost Passive Sampler for Light-Absorbing Carbon in Mongolia |
title_fullStr | Application of an Ultra-Low-Cost Passive Sampler for Light-Absorbing Carbon in Mongolia |
title_full_unstemmed | Application of an Ultra-Low-Cost Passive Sampler for Light-Absorbing Carbon in Mongolia |
title_short | Application of an Ultra-Low-Cost Passive Sampler for Light-Absorbing Carbon in Mongolia |
title_sort | application of an ultra-low-cost passive sampler for light-absorbing carbon in mongolia |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647794/ https://www.ncbi.nlm.nih.gov/pubmed/37960676 http://dx.doi.org/10.3390/s23218977 |
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