Počet záznamů: 1
Equations of a new puff model for idealized urban canopy
- 1.
SYSNO ASEP 0504467 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Equations of a new puff model for idealized urban canopy Tvůrce(i) 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, ORCIDZdroj.dok. Process Safety and Environmental Protection. - : Elsevier - ISSN 0957-5820
Roč. 126, June (2019), s. 382-392Poč.str. 11 s. Forma vydání Tištěná - P Jazyk dok. eng - angličtina Země vyd. GB - Velká Británie Klíč. slova short-term gas leakage ; long-term gas leakage ; continuous release ; operational model Vědní obor RIV DG - Vědy o atmosféře, meteorologie Obor OECD Meteorology and atmospheric sciences CEP TJ01000383 GA TA ČR - Technologická agentura ČR Způsob publikování Omezený přístup Institucionální podpora UT-L - RVO:61388998 UT WOS 000471734000035 EID SCOPUS 85065151075 DOI 10.1016/j.psep.2019.04.028 Anotace 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. Pracoviště Ústav termomechaniky Kontakt Marie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823 Rok sběru 2020 Elektronická adresa https://www.sciencedirect.com/science/article/pii/S0957582018312989?via%3Dihub
Počet záznamů: 1