Model of Arrival Time for Gas Clouds in Urban Canopy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F20%3A00535220" target="_blank" >RIV/61388998:_____/20:00535220 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-22055-6_58" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-22055-6_58</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-22055-6_58" target="_blank" >10.1007/978-3-030-22055-6_58</a>
Alternative languages
Result language
angličtina
Original language name
Model of Arrival Time for Gas Clouds in Urban Canopy
Original language description
The aim of this paper is to present a new model of arrival time for gas clouds. To create such a model, simulations of short-term gas leakages were conducted in a wind tunnel with a neutrally stratified boundary layer. Into the tunnel, a model of an idealized urban canopy in scale 1:400 was placed. For simulations of the short-term gas discharges, ethane was utilized. Concentration time series were measured by a fast flame ionisation detector. The experiments were repeated about 400 times to get statistically representative datasets. The ensembles of concentration time series were measured at about 50 individual positions. From these data, puff arrival times were computed. The results showed that a suitable probability distribution to describe the variability in values at individual positions for arrival time is lognormal. Moreover, the parameters of this distribution do not change randomly with the change in the measurement position but their change can be described by functions. Utilizing them, probability density functions of arrival time can be constructed and whatever quantile of arrival time at a chosen position can be computed. Such a model could help emergency services to estimate how the situation could look like during the accident not only in the most frequently occurred but also in the extreme cases.
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
2020
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 XXVI
ISBN
978-3-030-22054-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
363-368
Publisher name
Springer
Place of publication
Cham
Event location
Ottawa
Event date
May 14, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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