Forecasting Daily Ambient PM2.5 Concentrations in Qingdao City Using Deep Learning and Hybrid Interpretable Models and Analysis of Driving Factors Using SHAP.

With the acceleration of urbanization in China, air pollution is becoming increasingly serious, especially PM2.5 pollution, which poses a significant threat to public health. The study employed different deep learning models, including recurrent neur…

Preview only. Read the full abstract at the source