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Computer Treatment of Large Air Pollution Models

  • Book
  • © 1995

Overview

Authors:
  1. Zahari Zlatev

    1. National Environmental Research Institute, Roskilde, Denmark

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Part of the book series: Environmental Science and Technology Library (ENST, volume 2)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xv
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  2. The Air Pollution Problem

    • Zahari Zlatev
    Pages 1-20

  3. Mathematical Models for Studying the Long-Range Transport of Air Pollutants

    • Zahari Zlatev
    Pages 21-67

  4. Numerical Treatment of Large Air Pollution Models

    • Zahari Zlatev
    Pages 69-109

  5. Testing the Reliability of the Numerical Algorithms

    • Zahari Zlatev
    Pages 111-140

  6. Need for Efficient Algorithms

    • Zahari Zlatev
    Pages 141-174

  7. Computations on High-Speed Computers

    • Zahari Zlatev
    Pages 175-191

  8. Running Air Pollution Models on Vector Machines

    • Zahari Zlatev
    Pages 193-223

  9. Running Models on Parallel Machines with Shared Memory

    • Zahari Zlatev
    Pages 225-249

  10. Running Models on Massively Parallel Computers

    • Zahari Zlatev
    Pages 251-264

  11. Numerical Experiments with the Danish Eulerian Model

    • Zahari Zlatev
    Pages 265-305

  12. Back Matter

    Pages 307-359
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Keywords

About this book

"Models are often the only way of interpreting measurements to in­ vestigate long-range transport, and this is the reason for the emphasis on them in many research programs". B. E. A. Fisher: "A review of the processes and models of long-range transport of air pollutants", Atmospheric Environment, 17(1983), p. 1865. Mathematical models are (potentially, at least) powerful means in the efforts to study transboundary transport of air pollutants, source-receptor relationships and efficient ways of reducing the air pollution to acceptable levels. A mathematical model is a complicated matter, the development of which is based on the use of (i) various mechanisms describing mathematically the physical and chemical properties of the studied phenomena, (ii) different mathematical tools (first and foremost, partial differenti­ al equations), (iii) various numerical methods, (iv) computers (especially, high-speed computers), (v) statistical approaches, (vi) fast and efficient visualization and animation techniques, (vii) fast methods for manipulation with huge sets of data (input data, intermediate data and output data).

Authors and Affiliations

  • National Environmental Research Institute, Roskilde, Denmark

    Zahari Zlatev

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