Multiple regression analysis on causes of urban fog-haze in China-based on data mining

The article discussed the causes of urban fog-haze based on grey system theory. Introduced concept of meteorological effect function and non-meteorological effect function, combined with multiple regression theory and data mining, multiple mixed effect model was established. This model involved fog-haze intensity with the meteorological effect and the non-meteorological effect. The contribution rate of secondary aerosols was calculated, it solved "virtual-high" measurement of secondary aerosols when the relative humidity was higher. Through correlation analysis on PM10 and meteorological effect, the article established that meteorological effect played a key role in intensity change of foghaze. By Residual analysis on the model, the reliability and accuracy of the model was proved.