Skip to main content

On the Typology of Daily Courses of Tropospheric Ozone Concentrations

  • Conference paper
Artificial Neural Nets and Genetic Algorithms

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Anderberg, M.R.: Cluster Analysis for Applications. Academic Press, New York, 1973.

    MATH  Google Scholar 

  2. Hartigan, J.A.: Clustering Aloritms, John Wiley, New York, 1975.

    Google Scholar 

  3. Kohonen, T.: Self-Organizing Maps. Second edition. Springer, Berlin, 1997

    Book  MATH  Google Scholar 

  4. Matusita, K.: Distance and decision rules. Ann. Inst. Stat. Math. 16, The twentieth Anniversary Volume, Part II, 1964, 305–315.

    Article  MathSciNet  Google Scholar 

  5. SAS/STAT User’s Guide, Version 6, Fourth Edition. Volume 1, Volume 2. Cary, NC:SAS Institute Inc., 1989.

    Google Scholar 

  6. STATISTICA Neural Networks, StatSoft, Inc., Tulsa, OK, USA, 1998.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Wien

About this paper

Cite this paper

Pelikán, E., Eben, K., Vondráček, J., Dostál, M., Krejčíř, P., Keder, J. (2001). On the Typology of Daily Courses of Tropospheric Ozone Concentrations. In: Kůrková, V., Neruda, R., Kárný, M., Steele, N.C. (eds) Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6230-9_115

Download citation

  • DOI: https://doi.org/10.1007/978-3-7091-6230-9_115

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-83651-4

  • Online ISBN: 978-3-7091-6230-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics