Assessment of a Lagrangian stochastic particle model for concentration variance with field data

Enrico Ferrero; Stefano Alessandrini; Scott Meech; Dietmar Oettl

Assessment of a Lagrangian stochastic particle model for concentration variance with field data

Enrico Ferrero, Stefano Alessandrini, Scott Meech, Dietmar Oettl

Research output: Abstract › Paper › peer-review

Abstract

A stochastic Lagrangian model for concept fluctuations is tested by comparing simulation results with data measured in a small-scale dispersion experiment. To account for the scale of the experiment, the parameterisations of standard deviations and Lagrangian timescales are varied with appropriate constants. The results show a fairly good agreement between the simulated and observed values for the stable cases while discrepancies are observed for the neutral and stable cases.

Original language	English
State	Published - 2020
Event	20th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2020 - Tartu, Virtual, Estonia Duration: Jun 14 2020 → Jun 18 2020

Conference

Conference	20th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2020
Country/Territory	Estonia
City	Tartu, Virtual
Period	06/14/20 → 06/18/20

Keywords

Concentration fluctuations
Dispersion model
Lagrangian model

Cite this

@conference{acee1eafd7a24a839dc67aee9c2f4de1,

title = "Assessment of a Lagrangian stochastic particle model for concentration variance with field data",

abstract = "A stochastic Lagrangian model for concept fluctuations is tested by comparing simulation results with data measured in a small-scale dispersion experiment. To account for the scale of the experiment, the parameterisations of standard deviations and Lagrangian timescales are varied with appropriate constants. The results show a fairly good agreement between the simulated and observed values for the stable cases while discrepancies are observed for the neutral and stable cases.",

keywords = "Concentration fluctuations, Dispersion model, Lagrangian model",

author = "Enrico Ferrero and Stefano Alessandrini and Scott Meech and Dietmar Oettl",

note = "Publisher Copyright: {\textcopyright} 2020 HARMO. All rights reserved.; 20th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2020 ; Conference date: 14-06-2020 Through 18-06-2020",

year = "2020",

language = "English",

}

Assessment of a Lagrangian stochastic particle model for concentration variance with field data. / Ferrero, Enrico; Alessandrini, Stefano ; Meech, Scott et al.
2020. Paper presented at 20th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2020, Tartu, Virtual, Estonia.

Research output: Abstract › Paper › peer-review

TY - CONF

T1 - Assessment of a Lagrangian stochastic particle model for concentration variance with field data

AU - Ferrero, Enrico

AU - Alessandrini, Stefano

AU - Meech, Scott

AU - Oettl, Dietmar

PY - 2020

Y1 - 2020

N2 - A stochastic Lagrangian model for concept fluctuations is tested by comparing simulation results with data measured in a small-scale dispersion experiment. To account for the scale of the experiment, the parameterisations of standard deviations and Lagrangian timescales are varied with appropriate constants. The results show a fairly good agreement between the simulated and observed values for the stable cases while discrepancies are observed for the neutral and stable cases.

AB - A stochastic Lagrangian model for concept fluctuations is tested by comparing simulation results with data measured in a small-scale dispersion experiment. To account for the scale of the experiment, the parameterisations of standard deviations and Lagrangian timescales are varied with appropriate constants. The results show a fairly good agreement between the simulated and observed values for the stable cases while discrepancies are observed for the neutral and stable cases.

KW - Concentration fluctuations

KW - Dispersion model

KW - Lagrangian model

UR - https://www.scopus.com/pages/publications/85118924073

M3 - Paper

AN - SCOPUS:85118924073

T2 - 20th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2020

Y2 - 14 June 2020 through 18 June 2020

ER -

Assessment of a Lagrangian stochastic particle model for concentration variance with field data

Abstract

Conference

Keywords

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