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.
CITATION STYLE
Ferrero, E., Manor, A., Mortarini, L., & Oettl, D. (2020, January 1). Concentration fluctuations and odor dispersion in lagrangian models. Atmosphere. MDPI AG. https://doi.org/10.3390/ATMOS11010027
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