标题:
PM2.5、PM10与其它空气污染物及天气因素联合分析—基于昆明市空气质量和天气指标数据The Combined Analysis among PM2.5, PM10 as Well as Other Air Pollutants, and the Meteorological Factor—Based on the Data of Air Quality and Weather Index in Kumming
作者:
袁鹏, 安蕾
关键字:
PM2.5, PM10, 空气污染物, 联立方程, GMMPM2.5, PM10 Air Pollutants, Simultaneous Equations, GMM
期刊名称:
《Statistics and Application》, Vol.5 No.1, 2016-03-31
摘要:
我国城市经济在与时俱进的同时，环境问题也与日俱增，城市建设、人口增长、私车的迅速普及，给城市环境带来严重的影响，空气质量所面临的压力也越来越大。而随着人们对空气质量的关心和了解，可吸入颗粒物已经成为关注的焦点。本文收集到昆明市2014年空气污染物浓度和气象要素指标数据，较为全面地分析了昆明市主要空气污染物(PM2.5和PM10)的季节特征、天气特征以及与其它空气污染物、地面常规气象要素之间的系统关系。采用联立方程的方法系统地描述了主要空气污染物浓度与其它空气污染物、地面气象要素的联合影响。
With the development of our country economy, the environmental issues appear one after another. Meantime, the urban construction, population growth and the rapid popularization of private cars bring more and more serious influences to the environment of our city and the pressure on air quality is increasing. Therefore, the inhalable particles have become a focus of attention while the people are becoming more and more interested in air quality problems. Based on the real data set of the density of air pollutant and meteorological data belonging to Kunming of 2014, this paper analyzed the seasonal differences in main air pollutants (PM2.5 and PM10), other air pollutants, and routine weather elements. Simultaneous equations model has been used to systematically describe the combined impacts among the density of main air pollutants, other air pollutants and meteorological factor.