摘要
基于多元线性回归模型,采用主成分分析和通径分析方法,量化研究了2014~2020年重庆市中心城区北碚区空气质量情况以及气象因子对大气污染的影响。结果表明:北碚区空气质量以优良天数为主,且优良天数呈逐年增加趋势,中度和重度污染天数不明显,环境空气质量指数(AQI)、PM2.5浓度呈逐年下降趋势,8 h臭氧(O3-8h)浓度呈上升趋势。最高气温和相对湿度对AQI的贡献率最大,均为16%;风速贡献最小,占11%。最低气温和最高气温是影响PM2.5浓度日变化的主要因子,贡献率分别为31.6%、−12.6%。平均气温和最低气温是影响O3浓度日变化的主要因子,贡献率分别为63.6%、−36.8%。可见,气温对重庆中心城区大气污染的影响最为显著。
In order to explore the contribution of meteorological factors to air pollution,based on MLR model,the contribution rate of meteorological factors and air pollution in Beibei District Chongqing from 2014 to 2020 were quantitatively studied by using PCA princip�al component and path analysis.The results showed that the air quality in Beibei was dominated by excellent days,and the excellent days were increasing year by year,The days of moderate and severe pollution were not obvious.The concentration of AQI,PM2.5 showed a downward trend year by year,and the change rate of the maximum concentration of O3 showed an upward trend as a whole.Tmax and Rh contributed the most to AQI,accounting for 16%,and WS contributed the least,accounting for 11%.Tmin and Tmax were the main factors affecting the daily variation of PM2.5 concentration,with contribution rates of 31.6%and−12.6%.T and Tmin were the main factors affecting the diurnal variation of O3 concentration,with contribution rates of 63.6%and−36.8%respectively.It can be seen that the temperature has the greatest impact on the air pollution in the central urban area of Chongqing.
作者
吉莉
刘晓冉
JI Li;LIU Xiaoran(Beibei District Meteorology Service of Chongqing City,Chongqing 400700,China;Chongqing Institute of Meteorological Sciences,Chongqing 401147,China)
出处
《高原山地气象研究》
2023年第2期113-119,共7页
Plateau and Mountain Meteorology Research
基金
重庆市气象局业务技术攻关项目(YWJSGG-202134)。
关键词
气象因子
大气污染
贡献率
Meteorological factors
Air pollution
Contribution rate
