Estimation of the dominant degrees of freedom for air pollutant concentration data: Applications to ozone measurements

I. Fen Li, Pratim Biswas, Shafiqul Islam

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

A nonlinear dynamic analysis of air quality data has been performed and applied to a time series of ozone concentration data from the Cincinnati air shed. The analysis helped to identify the nature of the dynamics of the ozone concentrations and determine the number of degrees of freedom or dimensionality of the system. Results indicated that the dimensionality of the system was 3, indicating that there are three dominant variables affecting ozone concentration levels in the Cincinnati air shed. Statistical analysis was performed to infer that NO was correlated to ozone concentration levels.

Original languageEnglish (US)
Pages (from-to)1707-1714
Number of pages8
JournalAtmospheric Environment
Volume28
Issue number9
DOIs
StatePublished - May 1994
Externally publishedYes

Keywords

  • dimensionality
  • Nonlinear dynamic analysis
  • ozone concentrations
  • strange attractor

ASJC Scopus subject areas

  • Environmental Science(all)
  • Atmospheric Science

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