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Estimation of fine particulate matter in an arid area from visibility based on machine learning - Journal of Exposure Science & Environmental Epidemiology

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Estimation of fine particulate matter in an arid area from visibility based on machine learning - Journal of Exposure Science & Environmental Epidemiology

The absence of air pollution monitoring networks makes it difficult to assess historical fine particulate matter (PM2.5) exposures for countries in the areas, such as Kuwait, which are severe impacted by desert dust and anthropogenic pollution. We constructed an ensemble machine learning model to predict daily PM2.5 concentrations for regions lack of PM2.5 observations. The model was constructed based on daily PM2.5, visibility, and other meteorological data collected at two sites in Kuwait.

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Estimation of fine particulate matter in an arid area from visibility based on machine learning - Journal of Exposure Science & Environmental Epidemiology

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Estimation of fine particulate matter in an arid area from visibility based on machine learning - Journal of Exposure Science & Environmental Epidemiology

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