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Large Scale Air Pollution Models

  • Z. Zlatev
Conference paper
Part of the NATO Science Series book series (NAIV, volume 30)

Abstract

Air pollution, especially the reduction of the air pollution to some acceptable levels, is a highly relevant environmental problem, which is becoming more and more important. This problem can successfully be studied only when high-resolution comprehensive mathematical models are developed and used on a routine basis. However, such models are very time-consuming, even when modern high-speed computers are available. The models need a great amount of input data (meteorological, chemical and emission data). Furthermore, the models produce huge files of output data, which have to be stored for future uses (for visualization and animation of the results). Finally, huge sets of measurement data (normally taken at many stations located in different countries) have to be used in the efforts to validate the model results. The necessity to handle efficiently large scale air pollution models in order to be able to resolve a series of important environmental tasks will be discussed.

Keywords

Ozone Concentration Emission Data Biogenic Emission High Ozone Concentration Vertical Wind Velocity 
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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Copyright information

© Springer Science+Business Media Dordrecht 2003

Authors and Affiliations

  • Z. Zlatev
    • 1
  1. 1.National Environmental Research InstituteRoskildeDenmark

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