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  • At present, the estimation of consequences of accidents of mobile risk sources is executed merely sporadically, usually only by means of simple mathematical models. Major accidents of hazardous substances transport are increasingly frequent and can cause serious injuries in densely inhabited areas or pollution of the environment. On the basis of historical accidents and statistics four representatives hazardous substances for modelling were selected (ammonia, chlorine, LPG and gasoline). The selected substances for the case study of road and rail transportation represented potentially the most hazardous substances transported in the greatest quantities. Two main releases of selected materials are modelled in representative meteorological conditions: instantaneous release as worst case scenario and semi-continuous release as alternative scenario. The goal of the article is to present results of the modelling using standard models and to motivate the importance of the next development stage in the area
  • At present, the estimation of consequences of accidents of mobile risk sources is executed merely sporadically, usually only by means of simple mathematical models. Major accidents of hazardous substances transport are increasingly frequent and can cause serious injuries in densely inhabited areas or pollution of the environment. On the basis of historical accidents and statistics four representatives hazardous substances for modelling were selected (ammonia, chlorine, LPG and gasoline). The selected substances for the case study of road and rail transportation represented potentially the most hazardous substances transported in the greatest quantities. Two main releases of selected materials are modelled in representative meteorological conditions: instantaneous release as worst case scenario and semi-continuous release as alternative scenario. The goal of the article is to present results of the modelling using standard models and to motivate the importance of the next development stage in the area (en)
  • At present, the estimation of consequences of accidents of mobile risk sources is executed merely sporadically, usually only by means of simple mathematical models. Major accidents of hazardous substances transport are increasingly frequent and can cause serious injuries in densely inhabited areas or pollution of the environment. On the basis of historical accidents and statistics four representatives hazardous substances for modelling were selected (ammonia, chlorine, LPG and gasoline). The selected substances for the case study of road and rail transportation represented potentially the most hazardous substances transported in the greatest quantities. Two main releases of selected materials are modelled in representative meteorological conditions: instantaneous release as worst case scenario and semi-continuous release as alternative scenario. The goal of the article is to present results of the modelling using standard models and to motivate the importance of the next development stage in the area (cs)
Title
  • Consequence Modelling of Accidents in Hazardous Substances Transportation
  • Modelování následků havárií při přepravě nebezpečných látek (cs)
  • Consequence Modelling of Accidents in Hazardous Substances Transportation (en)
skos:prefLabel
  • Consequence Modelling of Accidents in Hazardous Substances Transportation
  • Modelování následků havárií při přepravě nebezpečných látek (cs)
  • Consequence Modelling of Accidents in Hazardous Substances Transportation (en)
skos:notation
  • RIV/61989100:27200/08:00019061!RIV09-MSM-27200___
http://linked.open...avai/riv/aktivita
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http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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  • 361048
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27200/08:00019061
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Major Accidents; Transportation of Dangerous Substances; Modelling of Dispersion (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C2860E9664BC]
http://linked.open...i/riv/mistoVydani
  • Hong Kong
http://linked.open...i/riv/nazevZdroje
  • International Conference on Probabilistic Safety Assessment and Management
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bernatík, Aleš
  • Šenovský, Michail
  • Zimmermann, Wiliam
number of pages
http://purl.org/ne...btex#hasPublisher
  • Edge Publication Group Limited
https://schema.org/isbn
  • 978-988-99791-5-7
http://localhost/t...ganizacniJednotka
  • 27200
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