Articles | Volume 22, issue 13
Atmos. Chem. Phys., 22, 9111–9127, 2022
Atmos. Chem. Phys., 22, 9111–9127, 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.

Related subject area

Subject: Gases | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
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Cited articles

Abdollahi, H. and Tauler, R.: Uniqueness and rotation ambiguities in Multivariate Curve Resolution methods, Chemom. Intell. Lab. Syst., 108, 100–111,, 2011. 
Alier, M., and Tauler, R.: Multivariate Curve Resolution of incomplete data mulsisets, Chemom. Intell. Lab. Syst., 127, 17–28,, 2013. 
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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.
Final-revised paper