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On the Typology of Daily Courses of Tropospheric Ozone Concentrations

  • Emil Pelikán
  • Kryštof Eben
  • Jiří Vondráček
  • Michal Dostál
  • Pavel Krejčíř
  • Josef Keder
Conference paper

Abstract

During last two decades extensive efforts have been made in modelling and prediction of the tropospheric ozone concentrations. Many statistical methods work on daily characteristics as maximal, average or other values. In the framework of the European union project APPETISE (Air Pollution Episodes: Modelling Tools for Improved Smog Management) a database has arisen holding hourly measurements of ozone concentrations on stations located in five European countries. In this contribution we try to classify typical daily courses of these concentrations. The stations are compared with respect to the occurrence of different types throughout the two-years period 1998–1999. We employed the Kohonen self-organizing maps and multivariate statistical analysis to visualize similarities and dissimilarities between involved stations.

Keywords

Ozone Concentration Tropospheric Ozone Kohonen Network Hourly Ozone Statistical Modelling Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    Anderberg, M.R.: Cluster Analysis for Applications. Academic Press, New York, 1973.MATHGoogle Scholar
  2. [2]
    Hartigan, J.A.: Clustering Aloritms, John Wiley, New York, 1975.Google Scholar
  3. [3]
    Kohonen, T.: Self-Organizing Maps. Second edition. Springer, Berlin, 1997CrossRefMATHGoogle Scholar
  4. [4]
    Matusita, K.: Distance and decision rules. Ann. Inst. Stat. Math. 16, The twentieth Anniversary Volume, Part II, 1964, 305–315.MathSciNetCrossRefGoogle Scholar
  5. [5]
    SAS/STAT User’s Guide, Version 6, Fourth Edition. Volume 1, Volume 2. Cary, NC:SAS Institute Inc., 1989.Google Scholar
  6. [6]
    STATISTICA Neural Networks, StatSoft, Inc., Tulsa, OK, USA, 1998.Google Scholar

Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • Emil Pelikán
    • 1
  • Kryštof Eben
    • 1
  • Jiří Vondráček
    • 1
  • Michal Dostál
    • 1
  • Pavel Krejčíř
    • 1
  • Josef Keder
    • 2
  1. 1.Institute of Computer SciencesAcademy of Sciences of the Czech RepublicPragueCzech Republic
  2. 2.Czech Hydrometeorological InstitutePragueCzech Republic

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