Water, Air, and Soil Pollution

, Volume 198, Issue 1–4, pp 95–110 | Cite as

Identification of NOx and Ozone Episodes and Estimation of Ozone by Statistical Analysis

  • María Castellano
  • Amaya Franco
  • David Cartelle
  • Manuel Febrero
  • Enrique RocaEmail author


Frame and daughters directives for evaluating the ambient air quality have been adopted by the EU as a part of the new strategies for pollution prevention and control and environmental management. Therefore, the prediction of ozone concentration and the identification of episodes by modeling are fundamental for protecting and preventing the population and environment against the harmful effects of this species. Under this approach, ambient air quality (immission) data in three zones: A Guarda, Corrubedo and Verín (two coastal and one interior) of Galicia (NW Spain), were collected and evaluated using statistical tools. Punctual and functional background and standard levels of ozone and NOx in the three zones have been determined for detecting abnormal situations and identifying possible emission sources. With this aim, threshold values were established by defining confidence levels. Finally, ozone concentration has been forecasted by time series modeling. Descriptive and predictive models of ozone involving different parameters depending of the area considered have been developed. Satisfactory estimation of ozone concentration was obtained in the three cases with proved efficiency, since predictive values did not exceed the 95% confidence level.


Nitrogen oxides Ozone Confidence levels Functional random variables Time series analysis 



This work partially has been carried out with the support provided by the MEyC project (European FEDER support included) MTM2005-00820 and by the Dirección Xeral de I+D+I (Xunta de Galicia) through the project SIPENOZON (INCITE-07MDS049E).


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Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  • María Castellano
    • 1
  • Amaya Franco
    • 2
  • David Cartelle
    • 3
  • Manuel Febrero
    • 1
  • Enrique Roca
    • 2
    Email author
  1. 1.Department of Statistics and Operation ResearchUniversity of Santiago de CompostelaSantiago de CompostelaSpain
  2. 2.Department of Chemical Engineering, School of EngineeringUniversity of Santiago de CompostelaSantiago de CompostelaSpain
  3. 3.Environmental Laboratory of GaliciaXunta de GaliciaA CoruñaSpain

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