摘要
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(PM_(10))的影响,收集了2015―2018年成都市PM_(2.5)、PM_(10)的月平均浓度,采用Pearson相关分析法,分析了成都市PM_(2.5)、PM_(10)与气象条件的关系。结果表明:(1)2015―2018年,成都市PM_(2.5)、PM_(10)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)、PM_(10)逐年缓慢下降的原因;2015―2018年成都市PM_(2.5)、PM_(10)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)、PM_(10)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)、PM_(10)月平均浓度的主要因素,两者与PM_(2.5)、PM_(10)呈较高的负线性相关,其中PM_(2.5)、PM_(10)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)、PM_(10),而温度的升高会加强PM_(2.5)、PM_(10)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)、PM_(10)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)、PM_(10)月平均浓度的相关性较低,而相对湿度与PM_(2.5)、PM_(10)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)、PM_(10)的积累和扩散影响很小。
To explore the characteristics of PM_(2.5)and PM_(10)in Chengdu,China,and their relationship with meteorological factors,monthly average concentrations of PM_(2.5)and PM_(10)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),PM_(10)in Chengdu shows a slowly decreasing trend year by year.And the seasonal PM_(2.5),PM_(10)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 PM_(10)in Chengdu.The concentrations of PM_(2.5)and PM_(10)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 PM_(10)in Chengdu.Sunshine duration,monthly average wind speed and relative humidity are also negatively correlated with PM_(2.5)and PM_(10)monthly average concentrations.However,compared with precipitation and temperature,the linear correlation between sunshine duration,monthly average wind speed and PM_(2.5),PM_(10)is lower,while the linear correlation between relative humidity and PM_(2.5),PM_(10)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 PM_(10)in Chengdu.
作者
李瑞
LI Rui(School of History,Geography and Tourism,Chengdu Normal University,Chengdu 611130,China)
出处
《大气与环境光学学报》
CAS
CSCD
2023年第1期47-58,共12页
Journal of Atmospheric and Environmental Optics
基金
成都师范学院校级科研项(CS18ZC03),广西自然科学基金(2018GXNSFBA138031)。
关键词
细颗粒物
可吸入颗粒物
气温
降水量
风速
fine particulate matter
inhalable particles
temperature
precipitation
wind speed
