High-Speed Visualization of Very Large High-Resolution Simulations for Air Hazard Transport and Dispersion
Autor: | Christophe Duchenne, Sylvie Perdriel, Patrick Armand, Olivier Oldrini |
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Rok vydání: | 2021 |
Předmět: |
atmospheric release
Atmospheric Science 010504 meteorology & atmospheric sciences Computer science operational emergency modeling Real-time computing High resolution Crisis management Environmental Science (miscellaneous) Hazard (computer architecture) 01 natural sciences High speed visualization emergencies project 010305 fluids & plasmas Visualization Set (abstract data type) Meteorology. Climatology 0103 physical sciences Statistical dispersion web mapping Web mapping QC851-999 high-resolution metric grid web visualization 0105 earth and related environmental sciences |
Zdroj: | Atmosphere Volume 12 Issue 7 Atmosphere, Vol 12, Iss 920, p 920 (2021) |
ISSN: | 2073-4433 |
DOI: | 10.3390/atmos12070920 |
Popis: | In the case of an atmospheric release of a noxious substance, modeling remains an essential tool to assess and forecast the impact of the release. The impact of such situations on populated, and hence built-up, areas is of the uttermost importance. However, modeling on such areas requires specific high-resolution approaches, which are complex to set up in emergency situations. Various approaches have been tried and evaluated: The EMERGENCIES and EMED project demonstrated an effective strategy using intensive parallel computing. Large amounts of data were produced that proved initially to be difficult to visualize, especially in a crisis management framework. A dedicated processing has been set up to allow for rapid and effective visualization of the modeling results. This processing relies on a multi-level tiled approach initiated in web cartography. The processing is using a parallel approach whose performances were evaluated using the large amounts of data produced in the EMERGENCIES and EMED projects. The processing proved to be very effective and compatible with the requirements of emergency situations. |
Databáze: | OpenAIRE |
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