RETRACTED ARTICLE: Detection of PM2.5 in mountain air based on fuzzy multi-attribute and construction of folk sports activities

With the continuous development of social construction, China’s economy has a significant growth. But there is a problem of air pollution in mountainous areas. Statistics show that more than 70% of China’s cities exceed the air quality standard every year. Taking PM2.5 as the characteristic area of air pollution in a certain area, it is becoming the most urgent and important environmental problem in J urban agglomeration. At present, China has built a national ground monitoring network of air pollutants, but the existing monitoring stations are concentrated in urban areas. Suburban and rural areas without monitoring stations need to carry out air quality assessment, pollution prevention, and prediction, so these places have become “blind areas” for research. The factors that affect PM2.5 pollution are very complex, and the regional differences are also very obvious. It is difficult to determine the temporal and spatial distribution of PM2.5 concentration and the change mechanism only by using limited observation data at monitoring stations. The fuzzy multi-attribute of aerosol optical depth (AOD) products produced by satellite remote sensing provides an effective method to understand the distribution of air pollutants, pollutant diffusion, and pollution sources in a region. This paper also adopts the methods of field investigation, interview, and other investigation methods to investigate and analyze the ecological situation, the current situation of regional activities construction, and the existing problems of folk sports culture in China’s basin area. Based on fuzzy multi-attribute and mountain air PM2.5 detection, this paper applies it to the construction of folk sports activities, so as to promote the ecological environment development of Chinese folk culture.