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Analysis of Key Features of Non-Linear Behaviour Using Recurrence Quantification. Case Study: Urban Airborne Pollution at Mexico City

Abstract

The use of recurrence plots have been extensively used in various fields. In this work, recurrence plots investigate the changes in the non-linear behaviour of urban air pollution using large datasets of raw data (hourly). This analysis has not been used before to extract information from large datasets for this type of non-linear problem. Two different approaches have been used to tackle this problem. The first approach is to show results according to monitoring network. The second approach is to show the results by particle type. This analysis shows the feasibility of using recurrence analysis for pollution monitoring and control.

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Acknowledgments

The authors would like to acknowledge the financial support of the Mexican government via PROMEP funding.

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Correspondence to Marco A. Aceves-Fernandez.

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Aceves-Fernandez, M.A., Pedraza-Ortega, J.C., Sotomayor-Olmedo, A. et al. Analysis of Key Features of Non-Linear Behaviour Using Recurrence Quantification. Case Study: Urban Airborne Pollution at Mexico City. Environ Model Assess 19, 139–152 (2014). https://doi.org/10.1007/s10666-013-9381-3

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  • DOI: https://doi.org/10.1007/s10666-013-9381-3

Keywords

  • Recurrence plot
  • Air quality
  • Air pollution modelling
  • Atmospheric pollution
  • Recurrence quantification analysis