Emergency Local-Scale Dispersion (ELSI) Software
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F21%3A00549701" target="_blank" >RIV/61388998:_____/21:00549701 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-662-63760-9_42" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-662-63760-9_42</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-662-63760-9_42" target="_blank" >10.1007/978-3-662-63760-9_42</a>
Alternative languages
Result language
angličtina
Original language name
Emergency Local-Scale Dispersion (ELSI) Software
Original language description
Operational softwares predicting a situation in case of short-term gas leakages are usually based on simple models because of time demands. But the project COST ES1006 revealed that predictions of these models for the short-term gas leakages can be as inaccurate as one order of magnitude. In contrast, predictions of simple models for continuous sources are not as much inaccurate. Hence, the aim of this paper is to introduce a new operational software for short-term gas leakages. The software is validated on data from experiments of short-term gas releases in a wind tunnel. The data describe the situation in different landscapes, a typical idealized European city centre and a rural area. The model of city centre was composed of buildings with pitched roofs organised into closed courtyards. The model of rural area was simulated by a surface roughness. The puff experiments were repeated a few hundred times for each measurement position at the models to get statistically representative datasets. Concentrations were measured by a fast flame ionisation detector. Ethane was utilized as a tracer gas. The introduced software uses mean concentrations calculated by a simple plume model as one of its inputs. The outputs are probability density functions of puff characteristics. This distinguishes the software from the usually utilized ones in which the outputs are only the ensemble-averaged puff outlines and concentration fields.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10509 - Meteorology and atmospheric sciences
Result continuities
Project
<a href="/en/project/TJ01000383" target="_blank" >TJ01000383: Short-duration leakage of hazardous gases into atmospere</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Air Pollution Modeling and its Application XXVII
ISBN
978-36-626-3759-3
ISSN
2213-8684
e-ISSN
2213-8692
Number of pages
4
Pages from-to
295-299
Publisher name
Springer
Place of publication
Berlin
Event location
Hamburg
Event date
Sep 23, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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