Research on impact of meteorological factors on air pollutants and pollutant change trends in Yining City of Xinjiang from 2017 to 2021
Objective To analyze the concentration changes of major air pollutants SO2,NO2,inhalable particles(PM10),fine particulate matter(PM2.5),CO,and the relationship between meteorological factors and the concentration of major pollutants in Yining City in recent years,providing a basis for the prevention and control of atmospheric pollution in Yining City.Methods The quality related data on the concentration of main air pollutants,the number of days with good air quality,and changes in meteorological factors in Yining City from 2017 to 2021 were collected for statistical description.Pearson correlation analysis was used to examine the correlation between air pollutants and meteorological factors,and the characteristics of air pollution and meteorological factors in Yining City were evaluated.Results The annual average concentrations of main pollutants SO2,NO2,PM10,PM2.5,and CO in Yining City from 2017 to 2021 ranged from 11.59-23.19,30.05-37.42,66.12-84.14,35.78-55.51,and 1.21-1.81 μg/m3,respectively.The annual average concentrations of main pollutants SO2 and NO2 showed a decreasing trend,with the highest in winter and spring and the lowest in summer and autumn.The annual average concentrations of PM10,PM2.5,and CO had shown a fluctuating trend from 2017 to 2021.The concentrations of SO2,NO2,PM10,PM2.5,and CO in the atmosphere of Yining City were significantly negatively correlated with temperature and wind speed,and significantly positively correlated with air pressure(all P＜0.01).Conclusions The atmospheric environment in Yining City has been improved day by day from 2017 to 2021,with a significant decrease in the concentration of main atmospheric pollutants.There is a significant correlation between meteorological factors and the concentration of major atmospheric pollutants in Yining City,and corresponding control measures can be considered based on the results.
Air pollutantsMeteorological factorsAtmospheric environment
NETL
NSTL
万方数据
