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September 10, 2025Applied SciencesOpen Access

Informational and Topological Characterization of CO and O3 Hourly Time Series in the Mexico City Metropolitan Area During the 2019–2023 Period: Insights into the Impact of the COVID-19 Pandemic

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Authors

ARAlejandro Ramírez-RojasPCPaulina Rebeca Cárdenas-MorenoIRIsrael Reyes-Ramírez

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Overview

Time series analysis shows significant changes in CO levels during COVID-19 lockdown, indicating shifting air pollution patterns.

Key Points

  • Significant reductions in CO emissions were noted during the COVID-19 lockdown, affecting its time series.
  • Informational metrics revealed stable patterns for O3 but marked variability in CO, highlighting distinct pollution dynamics.
  • The visibility graph method indicated similar behavioral trends for CO during lockdown, contrasting the stability of O3.
  • Findings underline the effects of industrial activity and vehicular traffic on air quality, emphasizing the need for ongoing monitoring.

Cite This Study

Ramírez-Rojas et al. (2025) studied this question.

synapsesocial.com/papers/68c1c62f54b1d3bfb60f1b1ahttps://doi.org/10.3390/app15168775
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Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1An overview of the MILAGRO 2006 Campaign: Mexico City emissions and their transport and transformation2010 · 444 citations
  2. 2The role of precursor emissions on ground level ozone concentration during summer season in Poland2017 · 23 citations
  3. 3Global Air Quality and Pollution2003 · 1,195 citations
  4. 4From time series to complex networks: The visibility graph2008 · 1,843 citations