Articles | Volume 22, issue 13
Atmos. Chem. Phys., 22, 9111–9127, 2022
https://doi.org/10.5194/acp-22-9111-2022
Atmos. Chem. Phys., 22, 9111–9127, 2022
https://doi.org/10.5194/acp-22-9111-2022
Research article
14 Jul 2022
Research article | 14 Jul 2022

A model for simultaneous evaluation of NO2, O3, and PM10 pollution in urban and rural areas: handling incomplete data sets with multivariate curve resolution analysis

Eva Gorrochategui et al.

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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-2022-117', Anonymous Referee #1, 06 May 2022
    • AC1: 'Reply on RC1', Eva Gorrochategui, 10 May 2022
  • RC2: 'Comment on egusphere-2022-117', Vasil Simeonov, 12 Jun 2022
    • AC2: 'Reply on RC2', Eva Gorrochategui, 13 Jun 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Eva Gorrochategui on behalf of the Authors (13 Jun 2022)  Author's response    Manuscript
ED: Publish as is (21 Jun 2022) by Leiming Zhang
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Short summary
A multiway methodology is proposed to handle complex and incomplete atmospheric data sets, providing concise and easily interpretable results. Changes in air quality by NO2, O3 and PM10 in 8 sampling stations located in Catalonia during the COVID-19 lockdown with respect to previous years (2018 and 2019) are investigated. Simultaneous analysis of the 3 contaminants among the 8 stations and for the 3 years allows the evaluation of correlations among the pollutants, even when having missing data.
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