Articles | Volume 16, issue 20
https://doi.org/10.5194/amt-16-4723-2023
https://doi.org/10.5194/amt-16-4723-2023
Research article
 | 
20 Oct 2023
Research article |  | 20 Oct 2023

Development of low-cost air quality stations for next-generation monitoring networks: calibration and validation of NO2 and O3 sensors

Alice Cavaliere, Lorenzo Brilli, Bianca Patrizia Andreini, Federico Carotenuto, Beniamino Gioli, Tommaso Giordano, Marco Stefanelli, Carolina Vagnoli, Alessandro Zaldei, and Giovanni Gualtieri

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-673', Mark Joseph Campmier, 10 Jul 2023
    • AC2: 'Reply on RC1', Alice Cavaliere, 06 Aug 2023
  • RC2: 'Comment on egusphere-2023-673', Anonymous Referee #2, 24 Jul 2023
    • AC1: 'Reply on RC2', Alice Cavaliere, 06 Aug 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Alice Cavaliere on behalf of the Authors (12 Aug 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (27 Aug 2023) by Albert Presto
RR by Mark Joseph Campmier (08 Sep 2023)
RR by Anonymous Referee #2 (08 Sep 2023)
ED: Publish as is (18 Sep 2023) by Albert Presto
AR by Alice Cavaliere on behalf of the Authors (19 Sep 2023)  Manuscript 
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Short summary
We assessed calibration models for two low-cost stations equipped with O3 and NO2 metal oxide sensors. Environmental parameters had improved accuracy in linear and black box models. Moreover, interpretability methods like SHapley Additive exPlanations helped identify the physical patterns and potential problems of these models in a field validation. Results showed both sensors performed well with the same linear model form, but unique coefficients were required for intersensor variability.