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Theses

Observation and modeling of pollution events in Chile

Abstract : Chile regularly faces high levels of atmospheric pollution, particularly in its central region which comprises the capital city, Santiago, and its 7 million inhabitants. This pollution originates mostly from anthropogenic sources (traffic, industry, residential heating) but also involves natural sources (mineral dust, sea salts, forest fires). The elevated concentrations of atmospheric pollutants observed in this region of the world are associated with public health issues as well as environmental and climatic impacts, in connection with the presence of glaciers of the Andes Cordillera near large urban basins. Despite the criticality of air pollution in Chile, the region is still under-investigated, especially from the atmospheric modeling perspective, due to a complex, atypical geographical configuration.In this context, this thesis work combines the analysis of observations (from local and satellite data) and chemistry-transport modeling with WRF-CHIMERE, with a view to extending the current literature related to the sources and impacts of air contamination in Chile. More specifically, the following original scientific questions are investigated: What are the seasonal mean transport patterns of pollutants in summertime and wintertime at the scale of central Chile? To what extent does long-range transport contribute to air quality in Santiago? What were the atmospheric impacts of the historic 2017 forest fires? What pollution source led to the record-breaking extreme fine particles events observed in recent winters? Through which pathways do black carbon emissions from Santiago transport higher up to the Andes Cordillera and how much of it deposits on glaciers? Is there a seasonality in this deposition an the underlying pathway?
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Submitted on : Wednesday, October 13, 2021 - 3:57:12 PM
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  • HAL Id : tel-03376632, version 1

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Rémy Lapere. Observation and modeling of pollution events in Chile. Biological Physics [physics.bio-ph]. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAX057⟩. ⟨tel-03376632⟩

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