Skip to main content

Qualitatively Correct Discretizations in an Air Pollution Model

  • Conference paper
  • 1380 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4818))

Abstract

We deal with one subproblem of an air pollution model, the horizontal diffusion, which can be mathematically described by a linear partial differential equation of parabolic type. With different space discretization schemes (like a FDM, FEM), and using the θ-method for time discretization we get a one-step algebraic iteration as a numerical model. The preservation of characteristic qualitative properties of different phenomena is an increasingly important requirement in the construction of reliable numerical models. For that reason we analyze the connection between the shape and time-monotonicity in the continuous and the numerical model, and we give the necessary and sufficient condition to fulfil this property.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Berman, A., Plemmons, R.J.: Nonnegative Matrices in the Mathematical Sciences. Academic Press, New York (1979)

    MATH  Google Scholar 

  2. Faragó, I., Pfeil, T.: Preserving concavity in initial-boundary value problems of parabolic type and its numerical solution. Periodica Mathematica Hungarica 30, 135–139 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  3. Faragó, I., et al.: A hővezetési egyenlet és numerikus megoldásának kvalitatív tulajdonságai I. Az elsőfokú közelítések nemnegativitása. Alkalmazott Matematikai Lapok 17, 101–121 (1993)

    MathSciNet  Google Scholar 

  4. Faragó, I., Horváth, R.: A Review of Reliable Numerical Models for Three-Dimensional Linear Parabolic Problems. Int. J. Numer. Meth. Engng. 70, 25–45 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  5. Faragó, I., Horváth, R., Korotov, S.: Discrete Maximum Principle for Linear Parabolic Problems Solved on Hybrid Meshes. Appl. Num. Math. 53, 249–264 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  6. Marchuk, G.I.: Mathematical modeling for the problem of the environment. Studies in Mathematics and Applications, vol. 16. North-Holland, Amsterdam (1985)

    Google Scholar 

  7. Marek, I., Szyld, D.B.: Comparison theorems for weak splittings of bounded operators. Numer. Math. 58, 389–397 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  8. McRae, G.J., Goodin, W.R., Seinfeld, J.H.: Numerical solution of the atmospheric diffusion equations for chemically reacting flows. Journal of Computational Physics 45, 1–42 (1984)

    Article  MathSciNet  MATH  Google Scholar 

  9. Mincsovics, M.: Qualitative analysis of the one-step iterative methods and consistent matrix splittings. Special Issue of Computers and Mathematics with Applications (accepted)

    Google Scholar 

  10. Verwer, J.G., Hundsdorfer, W., Blom, J.G.: Numerical Time Integration for Air Pollution Models, Report of CWI, MAS-R9825 (1982)

    Google Scholar 

  11. Zlatev, Z.: Computer Treatment of Large Air Pollution Models. Kluwer Academic Publishers, Dordrecht-Boston-London (1995)

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Georgiev, K., Mincsovics, M. (2008). Qualitatively Correct Discretizations in an Air Pollution Model. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds) Large-Scale Scientific Computing. LSSC 2007. Lecture Notes in Computer Science, vol 4818. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78827-0_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-78827-0_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78825-6

  • Online ISBN: 978-3-540-78827-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics