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Equations of a new puff model for idealized urban canopy
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SYSNO ASEP 0504467 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Equations of a new puff model for idealized urban canopy Author(s) Chaloupecká, Hana (UT-L) RID, ORCID, SAI
Jakubcová, Michala (UT-L)
Jaňour, Zbyněk (UT-L) RID, ORCID
Jurčáková, Klára (UT-L) RID, ORCID
Kellnerová, Radka (UT-L) RID, ORCIDSource Title Process Safety and Environmental Protection. - : Elsevier - ISSN 0957-5820
Roč. 126, June (2019), s. 382-392Number of pages 11 s. Publication form Print - P Language eng - English Country GB - United Kingdom Keywords short-term gas leakage ; long-term gas leakage ; continuous release ; operational model Subject RIV DG - Athmosphere Sciences, Meteorology OECD category Meteorology and atmospheric sciences R&D Projects TJ01000383 GA TA ČR - Technology Agency of the Czech Republic (TA ČR) Method of publishing Limited access Institutional support UT-L - RVO:61388998 UT WOS 000471734000035 EID SCOPUS 85065151075 DOI 10.1016/j.psep.2019.04.028 Annotation During a leakage of hazardous materials, emergency services need to predict the evolution of the accident. In such situations, fast models are used. Such models can produce reasonable results for long-term leakages, but short-term leakage results can be underestimated by as much as a full order of magnitude (shown in the COST ES1006 project). Hence, the main aim of this paper is to present equations for recalculating the continuous source results to achieve results valid for the short-term source. The model would consist of a sub-model utilized for the continuous source in combination with the equations introduced in the paper. The outputs obtained are the probability density functions of the puff characteristics: dosage, maximum concentration, and 99th and 95th percentiles of concentrations. These functions can help to estimate the situation not only for the mean case, but also for the extreme cases. Workplace Institute of Thermomechanics Contact Marie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823 Year of Publishing 2020 Electronic address https://www.sciencedirect.com/science/article/pii/S0957582018312989?via%3Dihub
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