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Communication Papers of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS)

Annals of Computer Science and Information Systems, Volume 41

Sensitivity Analysis in Air Pollution Modeling Supported by High Performance Supercomputers

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DOI: http://dx.doi.org/10.15439/2024F2586

Citation: Communication Papers of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), M. Bolanowski, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 41, pages 125–130 ()

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Abstract. Environmental modeling (and air pollution modeling in particular) is one of the toughest problems of computational mathematics. All relevant physical, chemical, and photochemical processes in the atmosphere should be taken into account. These are mathematically represented by a complex system of partial differential equations (PDEs). To simplify the original PDE system proper splitting procedure is applied. As a result, the initial system is replaced by several simpler submodels, connected with the main physical and chemical processes. Even in the case of a local study of the environment in a relatively small area, the model should be calculated in a large spatial domain, because the pollutants can be moved quickly over long distances, driven by the atmosphere dynamics, especially at high altitudes. One major source of difficulty is the high intensity of the atmospheric processes, which require a small time step to be used to get a stable numerical solution (at least in the chemistry submodel). All this makes the treatment of large-scale air pollution models a heavy computational task that requires efficient numerical algorithms. It has always been a serious challenge for the fastest and most powerful supercomputers of their time. Fortunately, Bulgaria is one of the leading countries in Eastern Europe concerning the supercomputer infrastructure development in recent years.

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