Influence of Particle Composition and Size on the Accuracy of Low Cost PM Sensors: Findings From Field Campaigns
In the last decade, many low-cost monitoring sensors and sensor-networks have been used as an alternative air quality assessment method. It is also well known that these low cost monitors have calibration, accuracy and long term variation problems which require various calibration techniques. In thi...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:bb84929466704522a7a1232e305d72232021-11-12T05:37:24ZInfluence of Particle Composition and Size on the Accuracy of Low Cost PM Sensors: Findings From Field Campaigns2296-665X10.3389/fenvs.2021.751267https://doaj.org/article/bb84929466704522a7a1232e305d72232021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fenvs.2021.751267/fullhttps://doaj.org/toc/2296-665XIn the last decade, many low-cost monitoring sensors and sensor-networks have been used as an alternative air quality assessment method. It is also well known that these low cost monitors have calibration, accuracy and long term variation problems which require various calibration techniques. In this work PM2.5 and PM10 low cost sensors (Plantower and Nova Fitness) have been tested in five cities under different environmental conditions and compared with collocated standard instruments. Simultaneously, particle composition (organic and black carbon, sulfate, nitrate, chloride, ammonium, and chemical elements) has been measured in the same places to study its influence on the accuracy. The results show a very large variability in the correlation between the low cost sensors and collocated standard instruments depending on the composition and size of particles present in the site. The PM10 correlation coefficient (R2) between the low cost sensor and a collocated regulatory instrument varied from to 0.95 in Temuco to 0.04 in Los Caleos. PM2.5 correlation varied from 0.97 to 0.68 in the same places. It was found that sites that had higher proportion of large particles had lower correlation between the low cost sensor and the regulatory instrument. Sites that had higher relative concentration of organic and black carbon had better correlation because these species are mostly below the 1 μm size range. Sites that had higher sulfate, nitrate or SiO2 concentrations in PM2.5 or PM10 had low correlation most likely because these particles have a scattering coefficients that depends on its size or composition, thus they can be classified incorrectly.E. GramschP. OyolaF. ReyesY. VásquezM. A. RubioC. SotoP. PérezF. MorenoN. GutiérrezFrontiers Media S.A.articlelow cost sensorsaccuracyparticle scatteringPM10 and PM2.5particle compositionEnvironmental sciencesGE1-350ENFrontiers in Environmental Science, Vol 9 (2021) |
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low cost sensors accuracy particle scattering PM10 and PM2.5 particle composition Environmental sciences GE1-350 |
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low cost sensors accuracy particle scattering PM10 and PM2.5 particle composition Environmental sciences GE1-350 E. Gramsch P. Oyola F. Reyes Y. Vásquez M. A. Rubio C. Soto P. Pérez F. Moreno N. Gutiérrez Influence of Particle Composition and Size on the Accuracy of Low Cost PM Sensors: Findings From Field Campaigns |
description |
In the last decade, many low-cost monitoring sensors and sensor-networks have been used as an alternative air quality assessment method. It is also well known that these low cost monitors have calibration, accuracy and long term variation problems which require various calibration techniques. In this work PM2.5 and PM10 low cost sensors (Plantower and Nova Fitness) have been tested in five cities under different environmental conditions and compared with collocated standard instruments. Simultaneously, particle composition (organic and black carbon, sulfate, nitrate, chloride, ammonium, and chemical elements) has been measured in the same places to study its influence on the accuracy. The results show a very large variability in the correlation between the low cost sensors and collocated standard instruments depending on the composition and size of particles present in the site. The PM10 correlation coefficient (R2) between the low cost sensor and a collocated regulatory instrument varied from to 0.95 in Temuco to 0.04 in Los Caleos. PM2.5 correlation varied from 0.97 to 0.68 in the same places. It was found that sites that had higher proportion of large particles had lower correlation between the low cost sensor and the regulatory instrument. Sites that had higher relative concentration of organic and black carbon had better correlation because these species are mostly below the 1 μm size range. Sites that had higher sulfate, nitrate or SiO2 concentrations in PM2.5 or PM10 had low correlation most likely because these particles have a scattering coefficients that depends on its size or composition, thus they can be classified incorrectly. |
format |
article |
author |
E. Gramsch P. Oyola F. Reyes Y. Vásquez M. A. Rubio C. Soto P. Pérez F. Moreno N. Gutiérrez |
author_facet |
E. Gramsch P. Oyola F. Reyes Y. Vásquez M. A. Rubio C. Soto P. Pérez F. Moreno N. Gutiérrez |
author_sort |
E. Gramsch |
title |
Influence of Particle Composition and Size on the Accuracy of Low Cost PM Sensors: Findings From Field Campaigns |
title_short |
Influence of Particle Composition and Size on the Accuracy of Low Cost PM Sensors: Findings From Field Campaigns |
title_full |
Influence of Particle Composition and Size on the Accuracy of Low Cost PM Sensors: Findings From Field Campaigns |
title_fullStr |
Influence of Particle Composition and Size on the Accuracy of Low Cost PM Sensors: Findings From Field Campaigns |
title_full_unstemmed |
Influence of Particle Composition and Size on the Accuracy of Low Cost PM Sensors: Findings From Field Campaigns |
title_sort |
influence of particle composition and size on the accuracy of low cost pm sensors: findings from field campaigns |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/bb84929466704522a7a1232e305d7223 |
work_keys_str_mv |
AT egramsch influenceofparticlecompositionandsizeontheaccuracyoflowcostpmsensorsfindingsfromfieldcampaigns AT poyola influenceofparticlecompositionandsizeontheaccuracyoflowcostpmsensorsfindingsfromfieldcampaigns AT freyes influenceofparticlecompositionandsizeontheaccuracyoflowcostpmsensorsfindingsfromfieldcampaigns AT yvasquez influenceofparticlecompositionandsizeontheaccuracyoflowcostpmsensorsfindingsfromfieldcampaigns AT marubio influenceofparticlecompositionandsizeontheaccuracyoflowcostpmsensorsfindingsfromfieldcampaigns AT csoto influenceofparticlecompositionandsizeontheaccuracyoflowcostpmsensorsfindingsfromfieldcampaigns AT pperez influenceofparticlecompositionandsizeontheaccuracyoflowcostpmsensorsfindingsfromfieldcampaigns AT fmoreno influenceofparticlecompositionandsizeontheaccuracyoflowcostpmsensorsfindingsfromfieldcampaigns AT ngutierrez influenceofparticlecompositionandsizeontheaccuracyoflowcostpmsensorsfindingsfromfieldcampaigns |
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