Research On Haze Influence Factors Based On Data Mining

With the rapid development of China’s economy and urbanization process, air pollution becomes increasingly serious, especially for the boosted haze weather in recent years. According to the satellite observation result, there are four major areas with heavy haze pollution, including north of the Huang-Huai Sea, Sichuan Basin area, the Pearl River Delta area and the Yangtze River Delta area, which almost account for 30% of the territory. In these areas, nearly 800,000,000 people are suffering from heavy haze pollution. In this context, the cause of haze pollution and how to control and predicate it have become hot research topics in the field of earth science. To answer these open problems in haze pollution, the first task is to figure out factors that have influence on haze weather.There are two categories of haze influence factors: one is the pollution source of haze and the other is aerodynamic influence in the formation of fog and haze. Haze components are determined by the pollution source, the dilution and diffusion components in space are determined by the dynamic factors.In this paper, we study the influence factors of haze weather by utilizing data mining. Our study focuses on the following three aspects:(1) We study adjacent areas’ influence on haze based on the autocorrelation analysis model from the point of space influence. Our results show that the haze components have collection status according to space, and different areas have more contributions to haze weather in adjacent areas.(2) We study haze weather from influence of the social and economic development of cities, which is based on the grey correlation model. Our results show that the development of human activities has relationship with the haze weather, especially for those activities that can produce emissions, road construction activities and building construction activities.(3) We use the autocorrelation analysis model, grey correlation model, and B-P neural network model to study influence of meteorological conditions on haze weather in terms of single factor and multiple factors. Our result shows that meteorological conditions have certain influence on the haze component diffusion, migration, transformation. The haze weather predication based on meteorological conditions has high accuracy, and thus it is indicative that there is a strong nonlinear relation between meteorological parameters and haze weather.