Estimating hourly and continuous ground-level PM2.5 concentrations using an ensemble learning algorithm: The ST-stacking model
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DOI: 10.1016/j.atmosenv.2019.117242
Abstract: Abstract Estimation of hourly and continuous ground-level fine particulate matter (PM2.5) concentrations is essential for PM2.5 pollution sources identifications, targeted policy development and population exposure research. However, current PM2.5 estimation studies rely heavily on satellite-based… read more here.
Keywords: pm2; ground level; pm2 concentrations; model ... See more keywords