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 :云南财经大学统计与数学学院,云南 昆明;

关键词: PM2.5PM10空气污染物联立方程GMMPM2.5 PM10 Air Pollutants Simultaneous Equations GMM

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。

Abstract: 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.

文章引用: 袁鹏 , 安蕾 (2016) 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。 统计学与应用, 5, 64-73. doi: 10.12677/SA.2016.51008

参考文献

[1] 韩婧, 代志光, 李方韬. 西安市灰霾天气下PM2.5浓度与气象条件分析[J]. 环境污染与防治, 2014, 36(2): 52-56.

[2] 沈家芬, 张凌, 莫测辉, 冯建军. 广州市空气污染物和气象要素的主成分与典型相关分析[J]. 生态环境, 2006, 15(5): 1018-1023.

[3] 陈起凤, 连语洁, 叶惠中, 王玉纯. 2006~2012年台北市PM2.5和PM10变化趋势与相关分析[J]. 环境保护前沿, 2014, 4(4): 128-135.

[4] 毕丽玫, 史建武, 刘意, 邓昊, 盛涛. 昆明城区PM2.5与常规大气污染物及气象因素的相关分析[C]//中国环境科学学会学术年会, 中国环境科学学会年会论文集, 2013: 4499-4505.

[5] 陈松. 昆明市主城区近年空气质量变化趋势与成因分析[J]. 环境科学导刊, 2014, 33(5): 72-76.

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