Computer Treatment of Large Air Pollution Models

1995
ISBN: 978-0-7923-3328-9
Verlag: Springer Netherlands

Buch, Englisch, Band 2, 359 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 1560 g

Reihe: Environmental Science and Technology Library

"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).

Zielgruppe

Research

Autoren/Hrsg.

Zlatev, Zahari

Fachgebiete

• Geowissenschaften Umweltwissenschaften Umweltverschmutzung, Umweltkriminalität, Umweltrecht
• Geowissenschaften Umweltwissenschaften Umweltmanagement, Umweltökonomie
• Naturwissenschaften Chemie Physikalische Chemie
• Mathematik | Informatik EDV | Informatik Informatik
• Geowissenschaften Umweltwissenschaften Angewandte Ökologie
• Geowissenschaften Geologie Meteorologie, Klimatologie
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Luftreinhaltung

Inhaltsverzeichnis

1. The Air Pollution Problem. 2. Mathematical Models for Studying the Long-Range Transport of Air Pollutants. 3. Numerical Treatment of Large Air Pollution Models. 4. Testing the Reliability of the Numerical Algorithms. 5. Need for Efficient Algorithms. 6. Computations on High-Speed Computers. 7. Running Air Pollution Models on Vector Machines. 8. Running Models on Parallel Machines with Shared Memory. 9. Running Models on Massively Parallel Computers. 10. Numerical Experiments with the Danish Eulerian Model. References. Author Index. Subject Index.