摘要
基于我国经济快速发展带来的环境问题日益严重,主要污染物有SO_(2)、NO_(2)、CO、O_(3)以及悬浮颗粒物PM2.5、PM10。通过建立线性回归模型和分位数回归方法,对西安市PM2.5浓度的影响因素进行评估,深入分析各变量与PM2.5浓度之间的相关性及影响程度的大小,筛选出导致PM2.5浓度变动的主要因子。
Due to the increasingly serious environmental problems brought about by the rapid economic development of our country,the main pollutants were SO_(2),NO_(2),CO,O_(3) and suspended particulate matter PM2.5 and PM10.Through the establishment of linear regression model and quantile regression method,the influencing factors of PM2.5 concentration in Xi′an were evaluated,and the correlation between each variable and PM2.5 concentration and the degree of influence were analyzed in depth,and PM2.5 was screened out the main factors of concentration changes.
作者
贾海文
刘静静
Jia Haiwen;Liu Jingjing(Xi′an Aviation Vocational and Technical College,Aviation Maintenance Engineering College,Xi′an 710089,China;Shaanxi Automobile Group Commercial Vehicle Co.,Ltd.,Xi′an 710089,China)
出处
《能源与环保》
2021年第8期75-80,共6页
CHINA ENERGY AND ENVIRONMENTAL PROTECTION
基金
民机容错飞控计算机系统研究(2011QD15X)(中国民航大学)。