Forecasting Air Quality Based on Chaotic Full-Area Method

With the development of Chinese economy, the environmental pollution becomes a serious problem in china, and the relevant forecast of air quality plays a very important role in the study of environmental protection. Because of the complexity and the nonlinearity of the air quality, this article will present a method based on chaotic full-area theory to study the forecast of the air quality. To make full use of data and information, the forecast is conducted after phase space reconstruction of air quality. It also presents a real example using the 25 years historical air quality data of Benxi city, and the result shows that the forecast based on this method has higher precision, which can also satisfy engineering application.