Abstract

In recent years, with the continuous advancement of Wuhan’s industry, manufacturing and engineering construction, the consumption of energy is also increasing, and the air quality problems caused by it have also received attention from all walks of life. In order to explore the characteristics of air pollution in Wuhan, this paper uses functional data analysis methods to study air quality (AQI) from the perspective of space and time. The results show that 13 prefecture-level cities in Wuhan can be divided into 4 levels according to the quality of air quality. In general, Xinzhou District, Huang pi District, Jiangxia District and Hannan District have the best air quality, while Qingshan District and Dongxihu District have the worst air quality; all have significant seasonal characteristics in the time dimension, that is, winter is a high-frequency band with serious air pollution.

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