Title: Air pollution modelling, sensitivity analysis and parallel implementation

Authors: Tzvetan Ostromsky; Ivan Dimov; Rayna Georgieva; Zahari Zlatev

Addresses: Department of Parallel Algorithms, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev str., bl. 25-A, 1113 Sofia, Bulgaria. ' Department of Parallel Algorithms, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev str., bl. 25-A, 1113 Sofia, Bulgaria. ' Department of Parallel Algorithms, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev str., bl. 25-A, 1113 Sofia, Bulgaria. ' National Environmental Research Institute, Aarhus University, Frederiksborgvej 399, P.O. Box 358, DK-4000 Roskilde, Denmark

Abstract: A new approach for Sensitivity Analysis (SA) in the field of air pollution modelling is proposed and applied to the Unified Danish Eulerian Model (UNI-DEM), a large-scale air pollution model. The SA requires numerous model experiments with different values of the studied parameters. By simultaneous variation of these parameters we produce a set of multidimensional discrete functions. These huge computational tasks require extensive resources of storage and CPU time. A highly parallel implementation of UNI-DEM has been created for this purpose and implemented on two powerful supercomputers. Some details of this implementation and numerical results on these supercomputers are presented.

Keywords: sensitivity analysis; Monte Carlo methods; air pollution; modelling; parallel computing; air quality; UNI-DEM; supercomputers.

DOI: 10.1504/IJEP.2011.042610

International Journal of Environment and Pollution, 2011 Vol.46 No.1/2, pp.83 - 96

Available online: 18 Sep 2011 *

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