A Statistical Approach for the Spatial Representativeness of Air Quality Monitoring Stations and the Relevance for Model Validation

  • Stijn Janssen
  • Felix Deutsch
  • Gerwin Dumont
  • Frans Fierens
  • Clemens Mensink
Conference paper
Part of the NATO Science for Peace and Security Series Series C: Environmental Security book series (NAPSC)

Abstract

A methodology is presented for the assessment of the spatial representtativeness of air pollution monitoring data. The methodology relies on a statistical approach that links air quality expectation values with land use characteristics. The relevance of this issue for model validation is addressed and the technique is illustrated for the validation of BelEUROS model results.

Keywords

Model validation spatial representativeness 

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References

  1. Deutsch F, Janssen L, Vankerkom J, Lefebre F, Mensink C, Fierens F, Dumont G, Roekens E (2007) Modelling changes of aerosol compositions over Belgium and Europe, Int. J. Environ. Pollut., 32, 162-173.CrossRefGoogle Scholar
  2. Hooyberghs J, Mensink C, Dumont G, Fierens F (2006) Spatial interpolation of ambient ozone concentrations from sparse monitoring points in Belgium, J. Environ. Monit., 8, 1129-1135.CrossRefGoogle Scholar

Copyright information

© Springer Science + Business Media B.V 2008

Authors and Affiliations

  • Stijn Janssen
    • 1
  • Felix Deutsch
  • Gerwin Dumont
  • Frans Fierens
  • Clemens Mensink
    • 1
  1. 1.Integrated Environmental StudiesVITO NVMolBelgium

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