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芜湖市PM_(2.5)的影响因素分析与预测 被引量:5

Analyzing and Forecasting the Influence Factor of PM_(2.5) in Wuhu
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摘要 本文针对芜湖市PM_(2.5)的影响因素分析与预测研究,分别建立了多元线性回归和ARMA预测等模型,使用EVIEWS、EXCEL等软件编程求解,研究得出:PM10和CO对PM_(2.5)浓度的变化影响较大,符合芜湖市PM_(2.5)浓度变化的ARMA(1,2)模型.最后为政府和环境部门有针对性地治理PM_(2.5)污染问题提供较为科学的建议. In view of the research on analyzing and forecasting the influence factor of PM2.5 in Wuhu,multiple linear regression and AR.MA prediction model were established, respectively.Using EVIEWS,EXCEL and other software programming solution,it concluded that the effects of PM10 and CO on the change of PM2.5 concentration were significant,which conformed to the ARMA(1,2)model PM2.5 concentration changes in Wubu,Finally some scientific suggestions were put forward for the govemment and environmental departments to deal with the problem of PM2.5 pollution.
作者 黄婷婷 朱家明 刘丹丹 HUANG Ting-ting ZHU Jia-ming LIU Dan-dan(School of Statistics and Applied Mathematics,Anhui University of Finance and Economics,Bengbu233030,Anhui,Chin)
出处 《山西师范大学学报(自然科学版)》 2017年第2期88-93,共6页 Journal of Shanxi Normal University(Natural Science Edition)
基金 国家自然科学基金资助项目(11601001) 安徽财经大学教研资助项目(acjyzd201429)
关键词 芜湖市 PM2.5 多元线性回归 ARMA EVIEWS Wuhu PM2.5 multiple linear regression ARMA model EVIEWS
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