Study on the prediction of air pollutants in urban oil depot based on grey dynamic model

As the increasing oil consumption in China year by year, the construction of oil depots is in the ascendant. These depots which store a lot of volatile oil products will cause serious pollution to the urban air. How to effectively predict the generated oil pollutants and how to scientifically and rationally manage the urban depots are big problems that we are confronted with. This paper introduces the Grey Dynamic Model (GDM) with its MATLAB computer program to predict air pollutants in the urban depots. The predictions, compared with the measurements, show that this model is scientific, rapid and practical, which makes it suitable for other applications.