2019
DOI: 10.5194/acp-2019-820
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Soccer games and record-breaking PM<sub>2.5</sub> pollution events in Santiago, Chile

Abstract: <p><strong>Abstract.</strong> In wintertime, high background concentrations of atmospheric fine particulate matter (PM<sub>2.5</sub>) are commonly observed in the metropolitan area of Santiago, Chile. Hourly peaks can be very strong, up to ten times average levels, but have barely been studied so far. Based on atmospheric composition measurements and chemistry-transport modeling (WRF-CHIMERE), the chemical signature of sporadic skyrocketing … Show more

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Cited by 2 publications
(2 citation statements)
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“…It simulates the physical–chemical processes of the different atmospheric pollutants based on emissions from the main anthropogenic sectors: residential, transportation, industry, and energy. This modeling system has been successfully applied to simulate the dispersion of atmospheric pollutants in central and southern Chile as well as the exposure to particulate matter of public transport users [ 27 , 28 , 29 ].…”
Section: Methodsmentioning
confidence: 99%
“…It simulates the physical–chemical processes of the different atmospheric pollutants based on emissions from the main anthropogenic sectors: residential, transportation, industry, and energy. This modeling system has been successfully applied to simulate the dispersion of atmospheric pollutants in central and southern Chile as well as the exposure to particulate matter of public transport users [ 27 , 28 , 29 ].…”
Section: Methodsmentioning
confidence: 99%
“…Later on, a module for the simulation particulate matter (Pun and Seigneur (2007); Bessagnet et al (2008)) was added to the model. The model is currently used extensively in air quality monitoring and forecast in research as well as for operative purposes both in regional and hemispheric levels (Cholakian et al (2019b); Lachatre et al (2019);Trewhela et al (2019); Lapere et al (2020)). It has also been used in many model intercomparison studies, as well as model-observation comparisons within multi-model experiments, for example to investigate European particulate matter trends (Ciarelli et al, 2019).…”
Section: Chimere Chemistry Transport Modelmentioning
confidence: 99%