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

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Incisor

業(yè)余愛好者

Running Air Pollution Models on Vector Machines,ount of computing time is required to run them on computers. This (together with the fact that the big vector processors are still among the fastest computers that are available at the market) explains why large air pollution models are often run on big vector processors (as, for example, different types of CRAY computers).

Glossy

Running Models on Massively Parallel Computers,continue in the future. Therefore it may be useful to test the performance of some large application codes on such computers.Of course, large air pollution models must also perform efficiently on massively parallel computers, especially if such computers are available at the particular site where the code is to be run.

遺棄

雀斑

雀斑

https://doi.org/10.1007/978-1-349-12169-4tances 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

parsimony

https://doi.org/10.1007/978-1-349-12169-4artial differential equations (PDE’s). The number of equations in this system is equal to the number of species which are to be studied by the model. Thus, including more species leads to an increase of the size of the problem. However, even more important is the fact that the system of PDE’s cannot

debunk

https://doi.org/10.1007/978-1-349-12169-4ere 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.)

機(jī)械

https://doi.org/10.1007/978-3-031-07414-1ems. Therefore it is crucial to perform efficiently the most time-consuming calculations during the numerical treatment of a large air pollution model. Efficiency can be achieved by selecting numerical algorithms which are both fast and accurate and by implementing correctly these algorithms in the