为研究气象因素对成都市大气细颗粒物 (PM_2.5)、可吸入颗粒物 (PM₁₀) 的影响，收集了2015―2018年成都市PM_2.5、PM₁₀的月平均浓度，采用Pearson相关分析法，分析了成都市PM_2.5、PM₁₀与气象条件的关系。结果表明：(1) 2015―2018年，成都市PM_2.5、PM₁₀年平均浓度虽然年际间差别较小，但整体呈现逐年缓慢下降趋势，2015年以来成都市的一系列大气污染控制措施是PM_2.5、PM₁₀逐年缓慢下降的原因；2015―2018年成都市PM_2.5、PM₁₀浓度季节变化特征整体表现为冬季 > 春季 > 秋季> 夏季。(2) 不同气象因素对成都市PM_2.5、PM₁₀月平均浓度的影响程度不同，降水量与气温是影响成都市PM_2.5、PM₁₀月平均浓度的主要因素，两者与PM_2.5、PM₁₀呈较高的负线性相关，其中PM_2.5、PM₁₀与降水量的相关系数均为 -0.612，与月平均气温的相关系数分别为 -0.822、-0.776，降水会通过捕获大气中的颗粒物来去除PM_2.5、PM₁₀，而温度的升高会加强PM_2.5、PM₁₀等污染物在垂直方向上的对流运动，从而对成都市污染物浓度的降低起到重要作用；日照时数、月平均风速、相对湿度等与PM_2.5、PM₁₀月平均浓度整体也呈现负相关，但与降水量和气温相比，日照时数、月平均风速与PM_2.5、PM₁₀月平均浓度的相关性较低，而相对湿度与PM_2.5、PM₁₀月平均浓度的相关性则更加微弱，表明相对湿度的变化对成都市PM_2.5、PM₁₀的积累和扩散影响很小。

To explore the characteristics of PM_2.5 and PM₁₀ in Chengdu, China, and their relationship with meteorological factors, monthly average concentrations of PM_2.5 and PM₁₀ in Chengdu from 2015 to 2018 were collected, and their relationships with meteorological factors were analyzed by using Pearson correlation analysis method. The results show that: (1) Pue to the implementation of a series of air pollution control measures since 2015, the average annual concentration of PM_2.5, PM₁₀ in Chengdu shows a slowly decreasing trend year by year. And the seasonal PM_2.5, PM₁₀ concentration in Chengdu from 2015 to 2018 decreased in the order of winter, spring, autumn and summer. (2) Different meteorological factors have different effects on the monthly average concentration of PM_2.5 and PM₁₀ in Chengdu. The concentrations of PM_2.5 and PM₁₀ show a high negative linear correlation with temperature and precipitation, which indicates that temperature and precipitation are two key factors affecting the monthly average concentrations of PM_2.5 and PM₁₀ in Chengdu. Sunshine duration, monthly average wind speed and relative humidity are also negatively correlated with PM_2.5 and PM₁₀ monthly average concentrations. However, compared with precipitation and temperature, the linear correlation between sunshine duration, monthly average wind speed and PM_2.5, PM₁₀ is lower, while the linear correlation between relative humidity and PM_2.5, PM₁₀ is even weaker, and less significant, indicating that the change of relative humidity has little effect on the accumulation and diffusion of PM_2.5 and PM₁₀ in Chengdu.