Dispersion from Strongly Buoyant Sources

Kukkonen, Jaakko; Nikmo, Juha; Ramsdale, S.A.; Martin, D.G.; Webber, D.M.; Schatzmann, Michael; Liedtke, J.

doi:10.1007/978-1-4615-4153-0_55

Cited by 5 publications

(17 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The average agreement between the predictions and the data was reasonably good (Kukkonen et al, 2000).…”

Section: Previous Evaluations Of the Buoyant Model Against Experimentmentioning

confidence: 64%

“…However, we have simply used the values that were determined previously in wind tunnel experiments (e.g. Kukkonen et al, 2000). The model therefore contains no freely adjustable parameters.…”

Section: J Kukkonen Et Al: Applicability Of An Integrated Plume Rismentioning

confidence: 99%

“…The results of the model evaluation in the wind tunnel facility have been presented by Liedtke and Schatzmann (1997), and reviews of this model evaluation by Martin et al (1997) and Kukkonen et al (2000). The wind tunnel simulations were conducted both in unstratified boundary layers and in the presence of an elevated inversion.…”

Section: Previous Evaluations Of the Buoyant Model Against Experimentmentioning

confidence: 99%

“…Davison, 2004;Forster et al, 2001;Liousse et al, 1996); (ii) semi-empirical plume rise models, such as that presented by Sofiev et al (2012); and (iii) cross-plume integrated plume rise models (e.g. Wigley and Slawson, 1971;Martin et al, 1997;Kukkonen et al, 2000). Recently, Devenish et al (2010) presented largeeddy simulation (LES) results of buoyant plumes in a crossflow.…”

Section: Introductionmentioning

confidence: 99%

“…The main objectives of this project were (i) to develop a mathematical model of a plume designed for conditions of very high buoyancy; (ii) to generate a carefully designed set of experimental data for the high-buoyancy, near-field region; and (iii) to validate the model against existing data. An overview of this project and its achievements is presented in Kukkonen et al (2000) and Ramsdale et al (1997). A more detailed description of the modelling of plume rise and near-field dispersion is reported in Martin et al (1997), and the modelling of the larger-scale dispersion was addressed by Nikmo et al ( , 1999.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Applicability of an integrated plume rise model for the dispersion from wild-land fires

et al. 2014

View full text Add to dashboard Cite

Abstract.We have presented an overview of a mathematical model, BUOYANT, that was originally designed for the evaluation of the dispersion of buoyant plumes originated from major warehouse fires. The model addresses the variations of the cross-plume integrated properties of a buoyant plume in the presence of a vertically varying atmosphere. The model also includes a treatment for a rising buoyant plume interacting with an inversion layer. We have compared the model predictions with the data of two prescribed wild-land fire experiments. For the SCAR-C experiment in Quinault (US) in 1994, the predicted vertical extents of the plume at maximum plume rise were between 500 and 800 m and between 200 and 700 m, using two alternative meteorological data sets. The corresponding observed injection heights of the aerosol particles measured using an airborne lidar (light detection and ranging) ranged from 250 to 600 m. For the prescribed burning experiment in Hyytiälä (Finland) in 2009, the model predictions were compared with plume elevations and diameters, determined based on particulate matter number concentration measurements onboard an aeroplane. However, the agreement between modelled and measured results substantially depends on how the properties of the source term are evaluated, especially regarding the convective heat fluxes from the fire. The results demonstrate that in field experiments on wild-land fires, there are substantial uncertainties in estimating both (i) the source terms for the atmospheric dispersion computations and (ii) the relevant vertical meteorological profiles.

show abstract

“…The average agreement between the predictions and the data was reasonably good (Kukkonen et al, 2000).…”

Section: Previous Evaluations Of the Buoyant Model Against Experimentmentioning

confidence: 64%

Section: J Kukkonen Et Al: Applicability Of An Integrated Plume Rismentioning

confidence: 99%

Section: Previous Evaluations Of the Buoyant Model Against Experimentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Applicability of an integrated plume rise model for the dispersion from wild-land fires

et al. 2014

View full text Add to dashboard Cite

show abstract

An emergency response model for the formation and dispersion of plumes originating from major fires (BUOYANT v4.20)

et al. 2022

Self Cite

View full text Add to dashboard Cite

Abstract. A mathematical model called BUOYANT has previously been developed for the evaluation of the dispersion of positively buoyant plumes originating from major warehouse fires. The model addresses the variations of the cross-plume integrated properties (i.e., the average properties along a trajectory) of a rising plume in a vertically varying atmosphere and the atmospheric dispersion after the plume rise regime. We have described in this article an extension of the BUOYANT model to include a detailed treatment of the early evolution of the fire plumes before the plume rise and atmospheric dispersion regimes. The input and output of the new module consist of selected characteristics of forest or pool fires and the properties of a source term for the plume rise module, respectively. The main structure of this source term module is based on the differential equations for low-momentum releases of buoyant material, which govern the evolution of the plume radius, as well as velocity and density differences. The source term module is also partially based on various experimental results on fire plumes. We have evaluated the refined BUOYANT model by comparing the model predictions against the experimental field-scale data from the Prescribed Fire Combustion and Atmospheric Dynamics Research Experiment, RxCADRE. The predicted concentrations of CO2 agreed fairly well with the aircraft measurements conducted in the RxCADRE campaign. We have also compiled an operational version of the model. The operational model can be used for emergency contingency planning and the training of emergency personnel in case of major forest and pool fires.

show abstract

An emergency response model for evaluating the formation and dispersion of plumes originating from major fires (BUOYANT v4.20)

Kukkonen

Nikmo

Riikonen

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Abstract. A mathematical model called BUOYANT has previously been developed for the evaluation of the dispersion of positively buoyant plumes originating from major warehouse fires. The model addresses the variations of the cross-plume integrated properties of a rising plume in a vertically varying atmosphere and the atmospheric dispersion after the plume rise regime. We have described in this article an extension of the BUOYANT model to include a detailed treatment of the early evolution of the fire plumes, before the plume rise and atmospheric dispersion regimes. The model input and output consist of selected characteristics of forest or pool fires, and the properties of a source term for the plume rise module, respectively. The main model structure of this source term model is based on the differential equations for low-momentum releases of buoyant material, which govern the evolution of the plume radius, velocity and density differences. The model is also partially based on various experimental results on fire plumes. We have evaluated the refined BUOYANT model by comparing the model predictions against the experimental field-scale data of the Prescribed Fire Combustion and Atmospheric Dynamics Research Experiment, RxCADRE. The predicted concentrations of CO2 agreed fairly well with the aircraft measurements conducted in the RxCADRE campaign. We have also compiled an operational version of the model. The operational model can be used for emergency contingency planning and for the training of emergency personnel, in case of major forest and pool fires.

show abstract

Dispersion from Strongly Buoyant Sources

Cited by 5 publications

References 4 publications

Applicability of an integrated plume rise model for the dispersion from wild-land fires

Applicability of an integrated plume rise model for the dispersion from wild-land fires

An emergency response model for the formation and dispersion of plumes originating from major fires (BUOYANT v4.20)

An emergency response model for evaluating the formation and dispersion of plumes originating from major fires (BUOYANT v4.20)

Contact Info

Product

Resources

About