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Development of Low-Cost Air Quality Stations for Next Generation Monitoring Networks: Calibration and Validation of PM(2.5) and PM(10) Sensors

A low-cost air quality station has been developed for real-time monitoring of main atmospheric pollutants. Sensors for CO, CO(2), NO(2), O(3), VOC, PM(2.5) and PM(10) were integrated on an Arduino Shield compatible board. As concerns PM(2.5) and PM(10) sensors, the station underwent a laboratory cal...

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Autores principales: Cavaliere, Alice, Carotenuto, Federico, Di Gennaro, Filippo, Gioli, Beniamino, Gualtieri, Giovanni, Martelli, Francesca, Matese, Alessandro, Toscano, Piero, Vagnoli, Carolina, Zaldei, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163466/
https://www.ncbi.nlm.nih.gov/pubmed/30154366
http://dx.doi.org/10.3390/s18092843
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author Cavaliere, Alice
Carotenuto, Federico
Di Gennaro, Filippo
Gioli, Beniamino
Gualtieri, Giovanni
Martelli, Francesca
Matese, Alessandro
Toscano, Piero
Vagnoli, Carolina
Zaldei, Alessandro
author_facet Cavaliere, Alice
Carotenuto, Federico
Di Gennaro, Filippo
Gioli, Beniamino
Gualtieri, Giovanni
Martelli, Francesca
Matese, Alessandro
Toscano, Piero
Vagnoli, Carolina
Zaldei, Alessandro
author_sort Cavaliere, Alice
collection PubMed
description A low-cost air quality station has been developed for real-time monitoring of main atmospheric pollutants. Sensors for CO, CO(2), NO(2), O(3), VOC, PM(2.5) and PM(10) were integrated on an Arduino Shield compatible board. As concerns PM(2.5) and PM(10) sensors, the station underwent a laboratory calibration and later a field validation. Laboratory calibration has been carried out at the headquarters of CNR-IBIMET in Florence (Italy) against a TSI DustTrak reference instrument. A MATLAB procedure, implementing advanced mathematical techniques to detect possible complex non-linear relationships between sensor signals and reference data, has been developed and implemented to accomplish the laboratory calibration. Field validation has been performed across a full “heating season” (1 November 2016 to 15 April 2017) by co-locating the station at a road site in Florence where an official fixed air quality station was in operation. Both calibration and validation processes returned fine scores, in most cases better than those achieved for similar systems in the literature. During field validation, in particular, for PM(2.5) and PM(10) mean biases of 0.036 and 0.598 µg/m(3), RMSE of 4.056 and 6.084 µg/m(3), and R(2) of 0.909 and 0.957 were achieved, respectively. Robustness of the developed station, seamless deployed through a five and a half month outdoor campaign without registering sensor failures or drifts, is a further key point.
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spelling pubmed-61634662018-10-10 Development of Low-Cost Air Quality Stations for Next Generation Monitoring Networks: Calibration and Validation of PM(2.5) and PM(10) Sensors Cavaliere, Alice Carotenuto, Federico Di Gennaro, Filippo Gioli, Beniamino Gualtieri, Giovanni Martelli, Francesca Matese, Alessandro Toscano, Piero Vagnoli, Carolina Zaldei, Alessandro Sensors (Basel) Article A low-cost air quality station has been developed for real-time monitoring of main atmospheric pollutants. Sensors for CO, CO(2), NO(2), O(3), VOC, PM(2.5) and PM(10) were integrated on an Arduino Shield compatible board. As concerns PM(2.5) and PM(10) sensors, the station underwent a laboratory calibration and later a field validation. Laboratory calibration has been carried out at the headquarters of CNR-IBIMET in Florence (Italy) against a TSI DustTrak reference instrument. A MATLAB procedure, implementing advanced mathematical techniques to detect possible complex non-linear relationships between sensor signals and reference data, has been developed and implemented to accomplish the laboratory calibration. Field validation has been performed across a full “heating season” (1 November 2016 to 15 April 2017) by co-locating the station at a road site in Florence where an official fixed air quality station was in operation. Both calibration and validation processes returned fine scores, in most cases better than those achieved for similar systems in the literature. During field validation, in particular, for PM(2.5) and PM(10) mean biases of 0.036 and 0.598 µg/m(3), RMSE of 4.056 and 6.084 µg/m(3), and R(2) of 0.909 and 0.957 were achieved, respectively. Robustness of the developed station, seamless deployed through a five and a half month outdoor campaign without registering sensor failures or drifts, is a further key point. MDPI 2018-08-28 /pmc/articles/PMC6163466/ /pubmed/30154366 http://dx.doi.org/10.3390/s18092843 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cavaliere, Alice
Carotenuto, Federico
Di Gennaro, Filippo
Gioli, Beniamino
Gualtieri, Giovanni
Martelli, Francesca
Matese, Alessandro
Toscano, Piero
Vagnoli, Carolina
Zaldei, Alessandro
Development of Low-Cost Air Quality Stations for Next Generation Monitoring Networks: Calibration and Validation of PM(2.5) and PM(10) Sensors
title Development of Low-Cost Air Quality Stations for Next Generation Monitoring Networks: Calibration and Validation of PM(2.5) and PM(10) Sensors
title_full Development of Low-Cost Air Quality Stations for Next Generation Monitoring Networks: Calibration and Validation of PM(2.5) and PM(10) Sensors
title_fullStr Development of Low-Cost Air Quality Stations for Next Generation Monitoring Networks: Calibration and Validation of PM(2.5) and PM(10) Sensors
title_full_unstemmed Development of Low-Cost Air Quality Stations for Next Generation Monitoring Networks: Calibration and Validation of PM(2.5) and PM(10) Sensors
title_short Development of Low-Cost Air Quality Stations for Next Generation Monitoring Networks: Calibration and Validation of PM(2.5) and PM(10) Sensors
title_sort development of low-cost air quality stations for next generation monitoring networks: calibration and validation of pm(2.5) and pm(10) sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163466/
https://www.ncbi.nlm.nih.gov/pubmed/30154366
http://dx.doi.org/10.3390/s18092843
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