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| COMPUTATIONAL AND NUMERICAL CHALLENGES IN ENVIRONMENTAL MODELLING, 13
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By
Zahari Zlatev, MSc, Ph.D., National Environmental Research Institute, Roskilde, Denmark
Ivan Dimov, MSc, Ph.D., DSc., University of Reading, ACET Centre, Reading, United Kingdom
Included in series
Studies in Computational Mathematics, 13
Description
Many large mathematical models, not only models arising and used in environmental studies, are described by systems of partial differential
equations. The discretization of the spatial derivatives in such models leads to the solution of very large systems of ordinary differential
equations. These systems contain many millions of equations and have to be handled over large time intervals by applying many time-steps
(up to several hundred thousand time-steps). Furthermore, many scenarios are as a rule to be run. This explains the fact that the computational
tasks in this situation are enormous. Therefore, it is necessary to select fast numerical methods; to develop parallel codes and, what
is most important when the problems solved are very large to organize the computational process in a proper way.
The last item (which
is very often underestimated but, let us re-iterate, which is very important) is the major topic of this book. In fact, the proper organization
of the computational process can be viewed as a preparation of templates which can be used with different numerical methods and different
parallel devices. The development of such templates is described in the book. It is also demonstrated that many comprehensive environmental
studies can successfully be carried out when the computations are correctly organized. Thus, this book will help the reader to understand
better that, while (a) it is very important to select fast numerical methods as well as (b) it is very important to develop parallel
codes, this will not be sufficient when the problems solved are really very large. In the latter case, it is also crucial to exploit
better the computer architecture by organizing properly the computational process.
Audience
Air Pollution Modeling, Scientific Computing and Numerical Analysis
Contents
Preface
Acknowledgements
Contents
1. PDE systems arising in air pollution modelling and justification of the need for high speed computers
2. Using splitting techniques in the treatment of air pollution models
3. Treatment of the advection-diffusion phenomena
4. Treatment
of the chemical part: general ideas and major numerical methods
5. Error analysis of the partitioning procedures
6. Efficient organization
of the matrix computations
7. Parallel computations
8. Studying high pollution levels
9. Impact of future climate changes on high
pollution levels
10. Implementation of variational data assimilation
11. Discussion of some open questions
Appendix A: Colour plots
Bibliography
Symbol Table
Author Index
Subject Index
| Bibliographic details |
Hardbound, 392 pages, publication date: MAY-2006
ISBN-13: 978-0-444-52209-2
ISBN-10: 0-444-52209-3
Imprint: ELSEVIER
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Last update: 3 Oct 2009
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