Heterogenous Canopy in a Lagrangian-Stochastic Dispersion Model for Particulate Matter from Multiple Sources over the Haifa Bay Area
نویسندگان
چکیده
The Haifa Bay area (HBA) is a major metropolitan in Israel, which consists of high volume transportation routes, industrial complexes, and the largest international seaport Israel. These, lie relatively near densely populated residential areas, result multitude air pollution sources, many whose emissions are form particulate matter (PM). Previous studies have associated exposure to such PM with adverse health effects. This potential consequence serves as motivation for this study aim provide realistic detailed three-dimensional concentration field PM, originating simultaneously from multiple sources. IIBR in-house Lagrangian stochastic pollutant dispersion model (LSM) suitable endeavor, it describes scalar by solving velocity fluctuations Reynolds number flows. Moreover, LSM was validated urban experiments, including HBA. However, due fact that sources reside within canopy layer, necessary integrate into layer depicts actual effect roughness elements’ drag on flow turbulent exchange morphology. achieved an approach treats patches porous media. used calculate fields PM10 PM2.5 concentrations during typical conditions two workday rush-hour periods. These were compared three quality monitoring stations located downstream predictions satisfy all acceptance criteria. Regarding predictions, results comply out four analysis calculated has shown up 105 m AGL exhibit spatial pattern similar ground level. decreases factor at 45 AGL, while, m, values close background concentrations.
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ژورنال
عنوان ژورنال: Atmosphere
سال: 2023
ISSN: ['2073-4433']
DOI: https://doi.org/10.3390/atmos14010144