Different splitting techniques with application to air pollution models

Ivan Dimov, I. Faragó, Ágnes Havasi, Zahari Zlatev

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Splitting techniques are commonly used when large-scale models, which appear in different fields of science and engineering, are treated numerically. Four types of splitting procedures are defined and discussed. The problem of the choice of a splitting procedure is investigated. Several numerical tests, by which the influence of the splitting errors on the accuracy of the results is studied, are given. It is shown that the splitting errors decrease linearly when (1) the splitting procedure is of first order and (2) the splitting errors are dominant. Three examples for splitting procedures used in all large-scale air pollution models are presented. Numerical results obtained by a particular air pollution model, Unified Danish Eulerian Model (UNI-DEM), are given and analysed.

Original languageEnglish
Pages (from-to)174-199
Number of pages26
JournalInternational Journal of Environment and Pollution
Volume32
Issue number2
DOIs
Publication statusPublished - Feb 2008

Fingerprint

Air pollution
atmospheric pollution
Eulerian analysis
engineering

Keywords

  • Air pollution models
  • Error analysis
  • Order of the splitting procedure
  • Ordinary differential equations
  • Partial differential equations
  • Splitting techniques

ASJC Scopus subject areas

  • Environmental Science(all)
  • Environmental Chemistry
  • Pollution

Cite this

Different splitting techniques with application to air pollution models. / Dimov, Ivan; Faragó, I.; Havasi, Ágnes; Zlatev, Zahari.

In: International Journal of Environment and Pollution, Vol. 32, No. 2, 02.2008, p. 174-199.

Research output: Contribution to journalArticle

Dimov, Ivan ; Faragó, I. ; Havasi, Ágnes ; Zlatev, Zahari. / Different splitting techniques with application to air pollution models. In: International Journal of Environment and Pollution. 2008 ; Vol. 32, No. 2. pp. 174-199.
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