Using advanced mathematical tools in complex studies related to climate changes and high pollution levels

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  • Zahari Zlatev
  • Ivan Dimov, Bulgarian Academy of Sciences
  • ,
  • Krassimir Georgiev, Bulgarian Academy of Sciences
  • ,
  • Radim Blaheta, Institute of Geonics AS CR

UNI-DEM is a large-scale environmental model described by a non-linear system of partial differential equations (PDEs) and used in many studies of air pollution levels in different European countries. The discretization of UNI-DEM leads to a long series of huge computational tasks, because it is necessary to run the discretized model with many different scenarios during long time-periods of many consecutive years. Therefore, both the storage requirements and the computational work are enormous. We had to resolve four difficult problems in the efforts to perform successfully the required simulations. More precisely, we had to do the following: (a)to implement fast numerical methods,(b)to select suitable splitting procedures,(c)to exploit efficiently the cache memories of the available high-speed computers(d)to parallelize the computer codes. We use several runs over sixteen consecutive years and with fourteen scenarios. Our main purpose will be to show the long-range transport of potentially dangerous air pollutants to Bulgaria.

OriginalsprogEngelsk
TitelLarge-Scale Scientific Computing - 11th International Conference, LSSC 2017, Revised Selected Papers
Antal sider8
ForlagSpringer
Udgivelsesår1 jan. 2018
Sider552-559
ISBN (trykt)9783319734408
DOI
StatusUdgivet - 1 jan. 2018
Begivenhed11th International Conference on Large-Scale Scientific Computations, LSSC 2017 - Sozopol, Bulgarien
Varighed: 11 sep. 201715 sep. 2017

Konference

Konference11th International Conference on Large-Scale Scientific Computations, LSSC 2017
LandBulgarien
BySozopol
Periode11/09/201715/09/2017
SerietitelLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind10665 LNCS
ISSN0302-9743

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