Heavy gas dispersion models

Blackmore, D. R.; Herman, M.N.; Woodward, John L.

doi:10.1016/0304-3894(82)80036-8

Cited by 71 publications

(18 citation statements)

References 9 publications

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“…(A.1), (9) in (8) Thus, it can be expected that Eq. (11), considering formal reasons only, would yield a model useful for the analysis describing the concentration generated by a ground-level puff including the effect of dry deposition.…”

Section: Discussionmentioning

confidence: 98%

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Toxic gas clouds: Effects and implications of dry deposition on concentration

Jonsson

Karlsson

Thaning

2005

Journal of Hazardous Materials

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Section: Discussionmentioning

confidence: 98%

“…Reactive or water miscible/soluble gases often have a higher v d than nonreactive or immiscible gases. A dry deposition velocity in the range of 1.6-3.7 cm s −1 has been reported in literature for Cl 2 not take dry deposition into account because it is believed to be of minor significance compared to other factors [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Toxic gas clouds: Effects and implications of dry deposition on concentration

Jonsson

Karlsson

Thaning

2005

Journal of Hazardous Materials

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“…(The reader is referred to detailed model descriptions found in other papers.) Similar models which might be modified in a like manner are summarized by Blackmore et al (1982).…”

Section: Introductionmentioning

confidence: 99%

Numerical modelling of water spray barriers for dispersing dense gases

Meroney

Neff

1985

Boundary-Layer Meteorol

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A depth-integrated numerical model is used to calculate the behavior of heavy and cold gas clouds subjected to the diluting influence of a water spray curtain. The model includes the physics of a cold cloud heated by the ground which entrains moist air. Entrainment velocities are influenced by cloud stratification. Laboratory water-curtain trials are predicted accurately. The model reveals the influence of curtain placement, width of spray, spray strength and thermal effects on the efficacy of the water curtain to mitigate potential hazards.

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“…There now exists a fairly well developed and reasonably satisfactory theory for the prediction of stochastic mean concentrations during turbulent diffusion of dense gases (Blackmore et al, 1982;Ermak et al, 1982;. Unfortunately for hazard analysis purposes, short-term ('instantaneous') concentration profiles differ markedly from theoretical mean ones.…”

Section: Introductionmentioning

confidence: 99%

Statistical characteristics of instantaneous dense gas clouds released in an atmospheric boundary-layer wind tunnel

Meroney

Lohmeyer

1984

Boundary-Layer Meteorol

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Wind tunnel experiments were performed to examine the behavior of suddenly released volumes of dense gas in a turbulent shear layer. Instantaneous concentrations were measured with hot-wire katherometers. Multiple replications of each cloud volume, density, and velocity combination produced statistics for plume arrival time, arrival of maximum concentration time, plume departure time, and maximum concentrations. Probability distributions and standard deviations of each plume property permit prediction of hazard risks.

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Heavy gas dispersion models

Cited by 71 publications

References 9 publications

Toxic gas clouds: Effects and implications of dry deposition on concentration

Toxic gas clouds: Effects and implications of dry deposition on concentration

Numerical modelling of water spray barriers for dispersing dense gases

Statistical characteristics of instantaneous dense gas clouds released in an atmospheric boundary-layer wind tunnel

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