An estimation of a passive scalar variances using a one-particle Lagrangian transport and diffusion model

Kaplan, H.

doi:10.1016/j.physa.2013.09.008

Cited by 9 publications

(14 citation statements)

References 23 publications

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“…Milliez and Carissimo, 2008;Yee, 2009). Lastly, recent studies have proposed to extend the use of single-particle Lagrangian models (Thomson, 1987) in heuristic ways, to account for the evolution of the second moment of the concentration fluctuations (Cassiani, 2013;Manor, 2014;Kaplan, 2014). This is the case of the volumetric particle approach (VPA) model that can be viewed as a simplification of a "traditional" Lagrangian PDF micromixing method (Cassiani, 2013).…”

Section: Cassiani (2013)mentioning

confidence: 99%

Dispersion of a Passive Scalar Fluctuating Plume in a Turbulent Boundary Layer. Part III: Stochastic Modelling

Marro

Salizzoni

Soulhac

et al. 2018

Boundary-Layer Meteorol

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We analyze the reliability of the Lagrangian stochastic micromixing method in predicting higher-order statistics of the passive scalar concentration induced by an elevated source (of varying diameter) placed in a turbulent boundary layer. To that purpose we analyze two different modelling approaches by testing their results against the wind-tunnel measurements discussed in Part I (Nironi et al., Boundary-Layer Meteorology, 2015, Vol.156, 415-446). The first is a probability density function (PDF) micromixing model that simulates the effects of the molecular diffusivity on the concentration fluctuations by taking into account the background particles. The second is a new model, named VPΓ , conceived in order to minimize the computational costs. This is based on the volumetric particle approach providing estimates of the first two concentration moments with no need for the simulation of the background particles. In this second approach, higher-order moments are computed based on the estimates of these two moments and under the assumption that the concentration PDF is a Gamma distribution. The comparisons concern the spatial distribution of the first four moments of the concentration and the evolution of the PDF along the plume centreline. The novelty of this work is twofold: i) we perform a systematic comparison of the results of micro-mixing Lagrangian models against experiments providing profiles of the first four moments of the concentration within an inhomogeneous and anisotropic turbulent flow, and ii) we show the reliability of the VPΓ model as an operational tool for the prediction of the PDF of the concentration.

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Section: Cassiani (2013)mentioning

confidence: 99%

Dispersion of a Passive Scalar Fluctuating Plume in a Turbulent Boundary Layer. Part III: Stochastic Modelling

Marro

Salizzoni

Soulhac

et al. 2018

Boundary-Layer Meteorol

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“…The VPA method has been suggested independently by Cassiani (2013) [59] and by Kaplan (2014) [60]. While the former developed the method as an extension of the IEM\IECM methods, the latter has presented the method as stemming from the two-particle probability formulation.…”

Section: Volumetric Particle Approachmentioning

confidence: 99%

“…Kaplan's [60] starting point is the relation between the two-particles probability function and the concentration second moment, Equation (15), here written for an instantenous source S(x, t) = S(x)δ(t) gives…”

Section: Volumetric Particle Approachmentioning

confidence: 99%

“…C 2 is hence modeled as tending towards the local average concentration with some time constant t m . The equations of motions and the implementation is exactly as done by Cassiani (2013) [59], only that the particle-associated concentration c p that emerges at Cassiani (2013) [59] as a result of the particle-associated volume, is interpreted by Kaplan (2014) [60] in terms of C 2 which is related to two particle statistics.…”

Section: Volumetric Particle Approachmentioning

confidence: 99%

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Concentration Fluctuations and Odor Dispersion in Lagrangian Models

et al. 2019

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In this paper, a review of the Lagrangian stochastic models developed in the last decades for the simulation of the concentration–fluctuation dispersion is presented. The main approaches available in the literature are described and their ability in reproducing the higher order moments of the probability density function is discussed. Then, the Lagrangian approaches for evaluating of the odor annoyance are presented. It is worth to notice that, while Lagrangian stochastic models for mean concentrations are well-known and their ability in correctly reproducing the observation is well assessed, concerning concentration fluctuations the approaches are often new and unknown for most of the scientific community.

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“…(2) The reaction described by equation 2does not include the segregation terms contributed by the concentration fluctuations. More details about the segregation term can be found in Kaplan (2011) ( [5]). The sensitivity test with and without the segregation terms shows that the influence on the results is negligible in our street case study.…”

Section: Model Formulationmentioning

confidence: 99%

Chemical reactions at street scale using a Lagrangian particle dispersion model

Kaplan

Olry

Moussafir

et al. 2014

IJEP

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In the context of the FEDER AIRCITY project, Paris city is modeled with a 3m resolution in purpose of computing pollutant concentration relevant for human exposition. This project involves AIRPARIF (Ile-de-France air quality monitoring network), for emission and immission data, CEA (French atomic and alternative energy agency) for HPC availability, IGN (National Geographic Institute) for city 3D data. For pollutant dispersion modeling, PMSS software was selected including a parallelized fast 3D wind field and turbulence code and a parallelized stochastic LPDM. A key point in urban air quality is NO 2 concentration, so the NO/NO 2 transformation at the street scale is a key issue. In this paper, a preliminary independent study will focus on fundamental questions. After theoretical consideration, a practical case is carried on over the Paris Opera district. The results are compared with standard continuous measurements at 2 air quality stations of the AIRPARIF monitoring network.

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An estimation of a passive scalar variances using a one-particle Lagrangian transport and diffusion model

Cited by 9 publications

References 23 publications

Dispersion of a Passive Scalar Fluctuating Plume in a Turbulent Boundary Layer. Part III: Stochastic Modelling

Dispersion of a Passive Scalar Fluctuating Plume in a Turbulent Boundary Layer. Part III: Stochastic Modelling

Concentration Fluctuations and Odor Dispersion in Lagrangian Models

Chemical reactions at street scale using a Lagrangian particle dispersion model

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