| 摘要: |
| 基于重庆市2014—2018年的六大气体污染源PM2.5、PM10、SO2、CO、NO2、O3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。 |
| 关键词: 空气质量指数 多元回归分析 分位数回归 |
| DOI： |
| 分类号: |
| 基金项目: |
|
| Analysis of Air Pollutants Distribution Characteristics and Influencing Factors in Chongqing |
|
LIN Jing-yi,YANG Yi-ping
|
|
School of Mathematics and Statistics, Chongqing Technology and Business University，Chongqing 400067,China
|
| Abstract: |
| Based on the monthly average data of PM2.5 , PM10, SO2，CO，NO2，O3 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. |
| Key words: AQI multiple regression analysis quantile regression |
