摘要
针对日益严重的PM2.5污染问题,首先对PM2.5浓度的时空分布特征进行统计描述及相关性分析;其次以采暖期和非采暖期为界,分别对五个监测区域建立PM2.5浓度与温度、气压、风速的VAR模型;最后进行模型的平稳性检验。结果表明,PM2.5日均浓度状况良好,呈现冬季>秋季>春季>夏季的趋势,采暖期较之非采暖期PM2.5浓度更高,主城区受城市效应的影响污染更为严重。同时,在不同监测区域、不同时段之间,湿度、气压和风速对PM2.5浓度的冲击响应和贡献度,也表现出明显的区域和时间差异。
Aiming at the increasingly serious PM2.5 pollution problem,the statistical description and correlation analysis of the spatial-temporal distribution characteristics of PM2.5 concentration were first performed.Second,PM2.5 was established for each of the five monitoring areas with heating and non-heating periods as the boundaries.VAR model of concentration and temperature,air pressure,and wind speed;Finally,the stationarity test of the model is performed.It is concluded that the daily average concentration of PM2.5 is good,showing winter>autumn>spring>summer,the PM2.5 concentration is higher in the heating period than in the non-heating period,and the main urban area is more polluted by the urban effect;and The impact response and contribution of humidity,air pressure,and wind speed to the concentration of PM2.5 between different monitoring areas and different time periods also show obvious regional and time differences.
作者
袁慎
YUAN Shen(Department of Statistics,Lanzhou University of Finance and Economics,Lanzhou 730101,China)
出处
《经济研究导刊》
2020年第4期119-121,123,共4页
Economic Research Guide
作者简介
袁慎(1993-),男,河南商丘人,硕士研究生,从事经济统计研究。
