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Titlebook: Computer Treatment of Large Air Pollution Models; Zahari Zlatev Book 1995 Kluwer Academic Publishers 1995 Air pollution.Mathematica.algori

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樓主: 可樂
31#
發(fā)表于 2025-3-26 21:15:56 | 只看該作者
https://doi.org/10.1007/978-1-349-12169-4hematical air pollution models are indispensable tools in the investigation of long-range transport phenomena. The analytical description of some types of such large models by systems of partial differential equations will be discussed in this chapter.
32#
發(fā)表于 2025-3-27 04:50:49 | 只看該作者
33#
發(fā)表于 2025-3-27 09:19:44 | 只看該作者
34#
發(fā)表于 2025-3-27 12:20:24 | 只看該作者
Book 1995many 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, so
35#
發(fā)表于 2025-3-27 17:39:25 | 只看該作者
36#
發(fā)表于 2025-3-27 18:01:50 | 只看該作者
37#
發(fā)表于 2025-3-27 23:04:30 | 只看該作者
The Air Pollution Problem,s not limited to regions where there are big emission sources. Air pollutants can be transported, mainly by advection due to the wind (but diffusion phenomena and chemical transformations under the transport also play an important role), to areas where there are no emission sources. Thus, the atmosp
38#
發(fā)表于 2025-3-28 03:29:33 | 只看該作者
Mathematical Models for Studying the Long-Range Transport of Air Pollutants,tances to remote areas that are far away from the big emission sources. Moreover, under certain circumstances the transported air pollutants may lead (directly or indirectly) to some damaging effects on plants,animals and humans. Therefore, it is important to be able to study the LRTAP carefully.Mat
39#
發(fā)表于 2025-3-28 08:32:49 | 只看該作者
40#
發(fā)表于 2025-3-28 13:25:01 | 只看該作者
Testing the Reliability of the Numerical Algorithms,ere the errors due to the use of numerical procedures are smaller than the error caused by other factors (as, for example, the uncertainties in the input data, the uncertainties of some of the physical parameters, the uncertainties of the implementation in the model of some physical processes, etc.)
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