<strong>Heterogenous canopy in a lagrangian-stochastic dispersion model for particulate matter from multiple sources</strong>

Eyal Fattal

Presentation information

[J] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS09] Applied Meteorology

Tue. May 27, 2025 3:30 PM - 5:00 PM Exhibition Hall Special Setting (4) (Exhibition Hall 7&8, Makuhari Messe)

convener:Masaru Inatsu(Faculty of Science, Hokkaido University), Tetsuya Takemi(Disaster Prevention Research Institute, Kyoto University), Hiroyuki Kusaka(University of Tsukuba), Chairperson:Masaru Inatsu(Faculty of Science, Hokkaido University)

4:15 PM - 4:30 PM

[AAS09-09] Heterogenous canopy in a lagrangian-stochastic dispersion model for particulate matter from multiple sources

*Eyal Fattal¹ (1.Ben-Gurion University)

Keywords:Canopy, Turbulence, Air Pollution, Dispersion, Lagrangian Stochastic, Micrometeorology

We present a generalization of the IIBR (Israel Institute for Biological research) in-house three-dimensional Lagrangian stochastic pollutant dispersion model to a consistent description of flow and dispersion in heterogeneous canopies. The approach is based on the time- and space- avareged Navier-Stokes equations and on recent findings on the analysis of correlation times in canopy. We further test this generalized model by providing a modeled description of the transport and dispersion of particulate matter (PM), which originates simultaneously from multiple sources in the industrial hub of Haifa bay area (HBA). This is compared to measured data of PM concentrations showing agreement with acceptance criteria.