Articles | Volume 17, issue 12
https://doi.org/10.5194/amt-17-3809-2024
https://doi.org/10.5194/amt-17-3809-2024
Research article
 | 
26 Jun 2024
Research article |  | 26 Jun 2024

Long-term evaluation of commercial air quality sensors: an overview from the QUANT (Quantification of Utility of Atmospheric Network Technologies) study

Sebastian Diez, Stuart Lacy, Hugh Coe, Josefina Urquiza, Max Priestman, Michael Flynn, Nicholas Marsden, Nicholas A. Martin, Stefan Gillott, Thomas Bannan, and Pete M. Edwards
Editorial note: the supplement has been replaced on 19 July 2024 due to an error in Eq. (S6), which has now been corrected.

Related authors

Air pollution measurement errors: is your data fit for purpose?
Sebastian Diez, Stuart E. Lacy, Thomas J. Bannan, Michael Flynn, Tom Gardiner, David Harrison, Nicholas Marsden, Nicholas A. Martin, Katie Read, and Pete M. Edwards
Atmos. Meas. Tech., 15, 4091–4105, https://doi.org/10.5194/amt-15-4091-2022,https://doi.org/10.5194/amt-15-4091-2022, 2022
Short summary
A study on the performance of low-cost sensors for source apportionment at an urban background site
Dimitrios Bousiotis, David C. S. Beddows, Ajit Singh, Molly Haugen, Sebastián Diez, Pete M. Edwards, Adam Boies, Roy M. Harrison, and Francis D. Pope
Atmos. Meas. Tech., 15, 4047–4061, https://doi.org/10.5194/amt-15-4047-2022,https://doi.org/10.5194/amt-15-4047-2022, 2022
Short summary
Assessing the sources of particles at an urban background site using both regulatory instruments and low-cost sensors – a comparative study
Dimitrios Bousiotis, Ajit Singh, Molly Haugen, David C. S. Beddows, Sebastián Diez, Killian L. Murphy, Pete M. Edwards, Adam Boies, Roy M. Harrison, and Francis D. Pope
Atmos. Meas. Tech., 14, 4139–4155, https://doi.org/10.5194/amt-14-4139-2021,https://doi.org/10.5194/amt-14-4139-2021, 2021
Short summary

Related subject area

Subject: Gases | Technique: In Situ Measurement | Topic: Instruments and Platforms
Eddy covariance with slow-response greenhouse gas analysers on tall towers: bridging atmospheric and ecosystem greenhouse gas networks
Pedro Henrique Herig Coimbra, Benjamin Loubet, Olivier Laurent, Laura Bignotti, Mathis Lozano, and Michel Ramonet
Atmos. Meas. Tech., 17, 6625–6645, https://doi.org/10.5194/amt-17-6625-2024,https://doi.org/10.5194/amt-17-6625-2024, 2024
Short summary
An overview of outdoor low-cost gas-phase air quality sensor deployments: current efforts, trends, and limitations
Kristen Okorn and Laura T. Iraci
Atmos. Meas. Tech., 17, 6425–6457, https://doi.org/10.5194/amt-17-6425-2024,https://doi.org/10.5194/amt-17-6425-2024, 2024
Short summary
Multiphysical description of atmospheric pressure interface chemical ionisation in MION2 and Eisele type inlets
Henning Finkenzeller, Jyri Mikkilä, Cecilia Righi, Paxton Juuti, Mikko Sipilä, Matti Rissanen, Douglas Worsnop, Aleksei Shcherbinin, Nina Sarnela, and Juha Kangasluoma
Atmos. Meas. Tech., 17, 5989–6001, https://doi.org/10.5194/amt-17-5989-2024,https://doi.org/10.5194/amt-17-5989-2024, 2024
Short summary
A portable nitrogen dioxide instrument using cavity-enhanced absorption spectroscopy
Steven A. Bailey, Reem A. Hannun, Andrew K. Swanson, and Thomas F. Hanisco
Atmos. Meas. Tech., 17, 5903–5910, https://doi.org/10.5194/amt-17-5903-2024,https://doi.org/10.5194/amt-17-5903-2024, 2024
Short summary
Development and deployment of a mid-cost CO2 sensor monitoring network to support atmospheric inverse modeling for quantifying urban CO2 emissions in Paris
Jinghui Lian, Olivier Laurent, Mali Chariot, Luc Lienhardt, Michel Ramonet, Hervé Utard, Thomas Lauvaux, François-Marie Bréon, Grégoire Broquet, Karina Cucchi, Laurent Millair, and Philippe Ciais
Atmos. Meas. Tech., 17, 5821–5839, https://doi.org/10.5194/amt-17-5821-2024,https://doi.org/10.5194/amt-17-5821-2024, 2024
Short summary

Cited articles

Adams, R. P. and MacKay, D. J. C.: Bayesian Online Changepoint Detection, arXiv [preprint], https://doi.org/10.48550/arXiv.0710.3742, 19 October 2007. 
Alam, M. S., Crilley, L. R., Lee, J. D., Kramer, L. J., Pfrang, C., Vázquez-Moreno, M., Ródenas, M., Muñoz, A., and Bloss, W. J.: Interference from alkenes in chemiluminescent NOx measurements, Atmos. Meas. Tech., 13, 5977–5991, https://doi.org/10.5194/amt-13-5977-2020, 2020. 
Allan, J., Harrison, R., and Maggs, R.: Defra Report: Measurement Uncertainty for PM2.5 in the Context of the UK National Network, https://uk-air.defra.gov.uk/library/reports?report_id=1074 (last access: 19 June 2024), 2022. 
Aminikhanghahi, S. and Cook, D. J.: A survey of methods for time series change point detection, Knowl. Inf. Syst., 51, 339–367, https://doi.org/10.1007/s10115-016-0987-z, 2017. 
Aula, K., Lagerspetz, E., Nurmi, P., and Tarkoma, S.: Evaluation of Low-cost Air Quality Sensor Calibration Models, ACM Trans. Sens. Netw., 18, 1–32, https://doi.org/10.1145/3512889, 2022. 
Download

Please read the editorial note first before accessing the article.

Short summary
In this paper we present an overview of the QUANT project, which to our knowledge is one of the largest evaluations of commercial sensors to date. The objective was to evaluate the performance of a range of commercial products and also to nourish the different applications in which these technologies can offer relevant information.