Emergency Local-Scale Dispersion (ELSI) Software

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Emergency Local-Scale Dispersion (ELSI) Software

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Emergency Local-Scale Dispersion (ELSI) Software

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

<a href="/cs/project/TJ01000383" target="_blank" >TJ01000383: Krátkodobé úniky nebezpečných plynů do atmosféry</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Air Pollution Modeling and its Application XXVII

ISBN

978-36-626-3759-3

ISSN

2213-8684

e-ISSN

2213-8692

Počet stran výsledku

4

Strana od-do

295-299

Název nakladatele

Springer

Místo vydání

Berlin

Místo konání akce

Hamburg

Datum konání akce

23. 9. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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