Air Quality Class Prediction Using Machine Learning Methods Based on Monitoring Data and Secondary Modeling
Qian Liu,
Bingyan Cui,
Zhen Liu
Abstract:Addressing the constraints inherent in traditional primary Air Quality Index (AQI) forecasting models and the shortcomings in the exploitation of meteorological data, this research introduces a novel air quality prediction methodology leveraging machine learning and the enhanced modeling of secondary data. The dataset employed encompasses forecast data on primary pollutant concentrations and primary meteorological conditions, alongside actual meteorological observations and pollutant concentration measurements… Show more
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