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Concentration Fluctuations and Odor Dispersion in Lagrangian Models

1
Department of Science and Technological Innovasion, Università del Piemonte Orientale, 15151 Alessandria, Italy
2
Institute of Atmospheric Sciences and Climate, National Research Council, 10133 Torino, Italy
3
Israel Institute for Biological Research, P.O.B 19, 7410001 Ness-Ziona, Israel
4
Department of Physics, Universidade Federal de Santa Maria, Santa Maria 97105-900, RS, Brazil
5
Air Quality Control, Government of Styria, 8010 Graz, Austria
*
Author to whom correspondence should be addressed.
Atmosphere 2020, 11(1), 27; https://doi.org/10.3390/atmos11010027
Received: 29 November 2019 / Revised: 13 December 2019 / Accepted: 16 December 2019 / Published: 26 December 2019
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. View Full-Text
Keywords: concentration fluctuation; odor dispersion; Lagrangian model concentration fluctuation; odor dispersion; Lagrangian model
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Ferrero, E.; Manor, A.; Mortarini, L.; Oettl, D. Concentration Fluctuations and Odor Dispersion in Lagrangian Models. Atmosphere 2020, 11, 27.

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