Preprints
https://doi.org/10.5194/egusphere-2022-117
https://doi.org/10.5194/egusphere-2022-117
 
20 Apr 2022
20 Apr 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 Gorrochategui1,3, Isabel Hernandez2, and Romà Tauler3 Eva Gorrochategui et al.
  • 1University of Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)—UMR_S 1085, F-35000 Rennes, France
  • 2Direcció General de Qualitat Ambiental i Canvi Climàtic, Generalitat de Catalunya, Spain
  • 3Institute of Environmental Assessment and Water Research (IDAEA), Consejo Superior de Investigaciones Científicas (CSIC), Barcelona, 08034, Spain

Abstract. A powerful methodology, based on multivariate curve resolution alternating least squares (MCR-ALS) with quadrilinearity constraints, is proposed to handle complex and incomplete four-way atmospheric data sets, providing concise and easy interpretable results. Changes in air quality by nitrogen dioxide (NO2), ozone (O3) and particular matter (PM10) in eight sampling stations located in Barcelona metropolitan area and other parts of Catalonia during the COVID-19 lockdown (2020) with respect to previous years (2018 and 2019) are investigated using such methodology. MCR-ALS simultaneous analysis of the 3 contaminants among the 8 stations and for the 3 years allows the evaluation of potential correlations among the pollutants even when having missing data blocks. NO2 and PM10 show correlated profiles due to similar pollution sources (traffic and industry), evidencing a decrease in 2019 and 2020 due to traffic restriction policies and COVID-19 lockdown, especially noticeable in the most transited urban areas (i.e., Vall d’Hebron, Granollers and Gràcia). Ozone evidences an opposed inter-annual trend, showing higher amounts in 2019 and 2020 respect to 2018 due to the decreased titration effect, more significant in rural areas (Begur) and in the control site (Obserbatori Fabra).

Journal article(s) based on this preprint

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, Isabel Hernandez, and Romà Tauler
Atmos. Chem. Phys., 22, 9111–9127, https://doi.org/10.5194/acp-22-9111-2022,https://doi.org/10.5194/acp-22-9111-2022, 2022
Short summary

Eva Gorrochategui et al.

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

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

Journal article(s) based on this preprint

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, Isabel Hernandez, and Romà Tauler
Atmos. Chem. Phys., 22, 9111–9127, https://doi.org/10.5194/acp-22-9111-2022,https://doi.org/10.5194/acp-22-9111-2022, 2022
Short summary

Eva Gorrochategui et al.

Data sets

Air quality data NO2, O3, PM10 Catalonia Department of Air Monitoring and Control Service of the Generalitat de Catalunya https://doi.org/10.1007/s11356-021-17137-7

Eva Gorrochategui et al.

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
A multiway methodology is proposed to handle complex and incomplete atmospheric data sets, providing concise and easy 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.