北京市PM2.5的相关因素研究

丛 琳; 孙德山; 邹存利; 张 蕾

北京市PM2.5的相关因素研究

引用本文：丛琳，孙德山，邹存利，张蕾.北京市PM2.5的相关因素研究[J].经济数学,2017,(4):26-29

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作者	单位
丛琳，孙德山，邹存利，张蕾	（辽宁师范大学数学学院，辽宁大连 116029）

中文摘要:选取2016年北京市空气质量指数数据，简述了北京市空气的现状，并根据频率得出PM2.5已经成为北京市空气中的首要污染物的结论.通过计算PM2.5与AQI所监测的其余指标之间的相关程度，进行PM2.5与PM10，CO和NO2的多元回归分析，得到线性回归方程.同时对模型给予改进，建立基于2个主成分的、更为精准的多元回归模型.得出PM10是空气中PM2.5的最主要成因的结论，CO和NO2对PM2.5的影响也不容忽视的结论，对北京市雾霾天气预防提供参考意见.

中文关键词:PM2.5 AQI 相关系数多元回归分析主成分分析

Study on PM2.5 Related Factors

Abstract:We selected the Beijing air quality index data in 2006, clarified the current situation of Beijing air, and based on the frequency we got a conclusion that the PM2.5 has already become the primary pollutant.The calculated correlation between PM2.5 and AQI’s remaining indicators, multiple regression analysis of PM2.5 and PM10, CO and NO2, we got the linear regression equation. By improving the model at the same time, a more accurate multivariate regression model based on two principal components was established. It can be concluded that PM10 is the main cause of PM2.5 in the air, and the effect of CO and NO2 on PM2.5 cannot be ignored, the suggestion was provided on the prevention of haze weather in Beijing.

keywords:PM2.5 air quality index correlation index multivariate regression analysis principal component analysis principal component analysis

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