A lagrangian dispersion model with a stochastic equation for the temperature fluctuations

Bisignano Andrea; Ferrero Enrico; Alessandrini Stefano; Mortarini Luca

A lagrangian dispersion model with a stochastic equation for the temperature fluctuations

Bisignano Andrea, Ferrero Enrico, Alessandrini Stefano, Mortarini Luca

Research output: Contribution to conference › Paper › peer-review

Abstract

The hybrid Lagrangian stochastic algorithm for buoyant plume rise from an isolated source described by Bisignano and Devenish (2015) is introduced into the Lagrangian dispersion model SPRAYWEB (Tinarelli et al, 1994, Alessandrini et al. 2013, Bisignano et al., 2017). In our approach each particle carries its own potential temperature, which evolves according to a stochastic differential equation as in Van Dop (1992). The buoyancy is calculated from the particle temperature and is directly included in the equation for the evolution of the velocity through a coupling term. We compare the concentration field simulated by the model with the results of a water tank experiment (Weil et al. 2002).

Original language	English
Pages	919-923
Number of pages	5
Publication status	Published - 2017
Externally published	Yes
Event	18th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2017 - Bologna, Italy Duration: 9 Oct 2017 → 12 Oct 2017

Conference

Conference	18th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2017
Country/Territory	Italy
City	Bologna
Period	9/10/17 → 12/10/17

Keywords

Buoyancy
Lagragian stochastic dispersion model
Plume rise
Temperature fluctuations

Cite this

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title = "A lagrangian dispersion model with a stochastic equation for the temperature fluctuations",

abstract = "The hybrid Lagrangian stochastic algorithm for buoyant plume rise from an isolated source described by Bisignano and Devenish (2015) is introduced into the Lagrangian dispersion model SPRAYWEB (Tinarelli et al, 1994, Alessandrini et al. 2013, Bisignano et al., 2017). In our approach each particle carries its own potential temperature, which evolves according to a stochastic differential equation as in Van Dop (1992). The buoyancy is calculated from the particle temperature and is directly included in the equation for the evolution of the velocity through a coupling term. We compare the concentration field simulated by the model with the results of a water tank experiment (Weil et al. 2002).",

keywords = "Buoyancy, Lagragian stochastic dispersion model, Plume rise, Temperature fluctuations",

author = "Bisignano Andrea and Ferrero Enrico and Alessandrini Stefano and Mortarini Luca",

note = "Publisher Copyright: {\textcopyright} 2018 Hungarian Meteorological Service. All Rights Reserved.; 18th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2017 ; Conference date: 09-10-2017 Through 12-10-2017",

year = "2017",

language = "English",

pages = "919--923",

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A lagrangian dispersion model with a stochastic equation for the temperature fluctuations. / Andrea, Bisignano; Enrico, Ferrero; Stefano, Alessandrini et al.
2017. 919-923 Paper presented at 18th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2017, Bologna, Italy.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - A lagrangian dispersion model with a stochastic equation for the temperature fluctuations

AU - Andrea, Bisignano

AU - Enrico, Ferrero

AU - Stefano, Alessandrini

AU - Luca, Mortarini

PY - 2017

Y1 - 2017

N2 - The hybrid Lagrangian stochastic algorithm for buoyant plume rise from an isolated source described by Bisignano and Devenish (2015) is introduced into the Lagrangian dispersion model SPRAYWEB (Tinarelli et al, 1994, Alessandrini et al. 2013, Bisignano et al., 2017). In our approach each particle carries its own potential temperature, which evolves according to a stochastic differential equation as in Van Dop (1992). The buoyancy is calculated from the particle temperature and is directly included in the equation for the evolution of the velocity through a coupling term. We compare the concentration field simulated by the model with the results of a water tank experiment (Weil et al. 2002).

AB - The hybrid Lagrangian stochastic algorithm for buoyant plume rise from an isolated source described by Bisignano and Devenish (2015) is introduced into the Lagrangian dispersion model SPRAYWEB (Tinarelli et al, 1994, Alessandrini et al. 2013, Bisignano et al., 2017). In our approach each particle carries its own potential temperature, which evolves according to a stochastic differential equation as in Van Dop (1992). The buoyancy is calculated from the particle temperature and is directly included in the equation for the evolution of the velocity through a coupling term. We compare the concentration field simulated by the model with the results of a water tank experiment (Weil et al. 2002).

KW - Buoyancy

KW - Lagragian stochastic dispersion model

KW - Plume rise

KW - Temperature fluctuations

UR - http://www.scopus.com/inward/record.url?scp=85047197498&partnerID=8YFLogxK

M3 - Paper

SP - 919

EP - 923

T2 - 18th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2017

Y2 - 9 October 2017 through 12 October 2017

ER -

A lagrangian dispersion model with a stochastic equation for the temperature fluctuations

Abstract

Conference

Keywords

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