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Low-Cost Sensor Node for Air Quality Monitoring: Field Tests and Validation of Particulate Matter Measurements
Air pollution is still a major public health issue, which makes monitoring air quality a necessity. Mobile, low-cost air quality measurement devices can potentially deliver more coherent data for a region or municipality than stationary measurement stations are capable of due to their improved spati...
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/PMC9862273/ https://www.ncbi.nlm.nih.gov/pubmed/36679602 http://dx.doi.org/10.3390/s23020794 |
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author | Schilt, Ueli Barahona, Braulio Buck, Roger Meyer, Patrick Kappani, Prince Möckli, Yannis Meyer, Markus Schuetz, Philipp |
author_facet | Schilt, Ueli Barahona, Braulio Buck, Roger Meyer, Patrick Kappani, Prince Möckli, Yannis Meyer, Markus Schuetz, Philipp |
author_sort | Schilt, Ueli |
collection | PubMed |
description | Air pollution is still a major public health issue, which makes monitoring air quality a necessity. Mobile, low-cost air quality measurement devices can potentially deliver more coherent data for a region or municipality than stationary measurement stations are capable of due to their improved spatial coverage. In this study, air quality measurements obtained during field tests of our low-cost air quality sensor node (sensor-box) are presented and compared to measurements from the regional air quality monitoring network. The sensor-box can acquire geo-tagged measurements of several important pollutants, as well as other environmental quantities such as light and sound. The field test consists of sensor-boxes mounted on utility vehicles operated by municipalities located in Central Switzerland. Validation is performed against a measurement station that is part of the air quality monitoring network of Central Switzerland. Often not discussed in similar studies, this study tests and discusses several data filtering methods for the removal of outliers and unfeasible values prior to further analysis. The results show a coherent measurement pattern during the field tests and good agreement to the reference station during the side-by-side validation test. |
format | Online Article Text |
id | pubmed-9862273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98622732023-01-22 Low-Cost Sensor Node for Air Quality Monitoring: Field Tests and Validation of Particulate Matter Measurements Schilt, Ueli Barahona, Braulio Buck, Roger Meyer, Patrick Kappani, Prince Möckli, Yannis Meyer, Markus Schuetz, Philipp Sensors (Basel) Article Air pollution is still a major public health issue, which makes monitoring air quality a necessity. Mobile, low-cost air quality measurement devices can potentially deliver more coherent data for a region or municipality than stationary measurement stations are capable of due to their improved spatial coverage. In this study, air quality measurements obtained during field tests of our low-cost air quality sensor node (sensor-box) are presented and compared to measurements from the regional air quality monitoring network. The sensor-box can acquire geo-tagged measurements of several important pollutants, as well as other environmental quantities such as light and sound. The field test consists of sensor-boxes mounted on utility vehicles operated by municipalities located in Central Switzerland. Validation is performed against a measurement station that is part of the air quality monitoring network of Central Switzerland. Often not discussed in similar studies, this study tests and discusses several data filtering methods for the removal of outliers and unfeasible values prior to further analysis. The results show a coherent measurement pattern during the field tests and good agreement to the reference station during the side-by-side validation test. MDPI 2023-01-10 /pmc/articles/PMC9862273/ /pubmed/36679602 http://dx.doi.org/10.3390/s23020794 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 | Article Schilt, Ueli Barahona, Braulio Buck, Roger Meyer, Patrick Kappani, Prince Möckli, Yannis Meyer, Markus Schuetz, Philipp Low-Cost Sensor Node for Air Quality Monitoring: Field Tests and Validation of Particulate Matter Measurements |
title | Low-Cost Sensor Node for Air Quality Monitoring: Field Tests and Validation of Particulate Matter Measurements |
title_full | Low-Cost Sensor Node for Air Quality Monitoring: Field Tests and Validation of Particulate Matter Measurements |
title_fullStr | Low-Cost Sensor Node for Air Quality Monitoring: Field Tests and Validation of Particulate Matter Measurements |
title_full_unstemmed | Low-Cost Sensor Node for Air Quality Monitoring: Field Tests and Validation of Particulate Matter Measurements |
title_short | Low-Cost Sensor Node for Air Quality Monitoring: Field Tests and Validation of Particulate Matter Measurements |
title_sort | low-cost sensor node for air quality monitoring: field tests and validation of particulate matter measurements |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862273/ https://www.ncbi.nlm.nih.gov/pubmed/36679602 http://dx.doi.org/10.3390/s23020794 |
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