摘要
基于重庆市2014—2018年的六大气体污染源PM 2.5、PM 10、SO 2、CO、NO 2、O 3的月均浓度数据以及AQI(空气质量指数),对污染物的月度变化、季度变化、年度变化特征进行了描述性的分析,再根据收集的7个变量数据,运用多元回归分析,建立AQI与六大污染物之间的回归方程,运用分位数回归,对主要污染源在各个分位点上的变化进行分析。
Based on the monthly average data of PM 2.5,PM 10,SO 2,CO,NO 2,O 3 and AQI(air quality index)in Chongqing from 2014 to 2018,this paper used descriptive analysis to analyze the characteristics of monthly,quarterly and annual change in pollutants,then,according to the data of seven variables collected,used multiple regression analysis to establish the regression equation between AQI and the six pollutants,and used quantile regression to analyze variation of main pollution sources at each quantile.
作者
林静怡
杨宜平
LIN Jing-yi;YANG Yi-ping(School of Mathematics and Statistics,Chongqing Technology and Business University,Chongqing 400067,China)
出处
《重庆工商大学学报(自然科学版)》
2020年第5期88-93,共6页
Journal of Chongqing Technology and Business University:Natural Science Edition
基金
国家社会科学基金项目资助(18BTJ035).