By Zahari Zlatev MSc Ph.D., Ivan Dimov MSc Ph.D. DSc.
Many huge mathematical versions, not just versions bobbing up and utilized in environmental reviews, are defined through platforms of partial differential equations. The discretization of the spatial derivatives in such types ends up in the answer of very huge platforms of normal differential equations. those structures include many thousands of equations and feature to be dealt with over huge time durations by means of using many time-steps (up to numerous hundred thousand time-steps). additionally, many eventualities are generally to be run. This explains the truth that the computational initiatives during this scenario are huge, immense. consequently, it's important to pick speedy numerical equipment; to enhance parallel codes and, what's most vital whilst the issues solved are very huge to arrange the computational method in a formal way.The last thing (which is particularly frequently underestimated yet, allow us to re-iterate, that's vitally important) is the foremost subject of this booklet. in reality, the right kind association of the computational technique will be considered as a education of templates that are used with diverse numerical tools and diversified parallel units. the improvement of such templates is defined within the e-book. it's also tested that many finished environmental experiences can effectively be conducted while the computations are accurately geared up. therefore, this ebook can help the reader to appreciate larger that, whereas (a) it is important to to choose speedy numerical equipment in addition to (b) you will need to to improve parallel codes, this can now not be enough while the issues solved are relatively very huge. within the latter case, it's also the most important to use greater the pc structure by way of organizingproperly the computational process.- Use of templates in reference to the remedy of very huge types- functionality of entire environmental stories- acquiring trustworthy and powerful information regarding toxins degrees- learning the influence of destiny climatic alterations on excessive pollutants degrees- Investigating developments relating to severe degrees of toxins"
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Comparison of the distribution of the concentrations in the different parts of the space domain with the distribution of related emissions can give us some qualitative estimation of the reliability of the results. Comparing the results in Fig. 1 with the distribution of the NOX emissions in Europe (the distribution of the NOX emissions in Europe can be seen in upper right-hand-side plot in Fig. 2; see also Bastrup-Birk et al. , ) we can conclude that DEM is producing highest levels of the nitrogen dioxide pollution precisely in the parts of the space domain where the NOX emissions are highest, and in the large European cities (which are in general also big sources of NOX emissions), the levels of the nitrogen dioxide pollution is also high.
Monte Carlo techniques were used in Dimov and Zlatev  in order to find the rate coefficients to the variation of which the model results are most sensitive, and to study in a more systematic way the variation of the model results caused by random variations in a prescribed range of the selected rate coefficients. A simple box-model (one grid-point only and no other processes except the chemical reactions) is quite sufficient in the first part. The second part is much more complicated, because it requires a large number of runs of the whole air pollution model.
Of course, quantitative correctness of the model results is the most desirable property of an air pollution model. Most of the unresolved problems become immediately visible when one attempts to validate quantitatively the model results. The best that we can do at present (in the attempts to validate quantitatively the model results) is to compare model results with measurements taken at representative measurement stations located in different parts of the space domain. There are two major ways to present the results which are obtained when calculated by the model concentrations are compared with corresponding measurements.