经济数学2017，Vol.34Issue(1)：105-110,6.
基于时间序列的长沙市PM2.5的统计分析
Statistical Analysis of Changsha PM2.5 Based on Time Series
摘要
Abstract
PM2.5 gradually becomes the focus of attention.We analyzed the correlation between monitoring index of air pollution PM2.5 and S02,N02,PM10,CO,O3,and found that PM2.5 was associated positively with SO2,NO2,PM10,CO,and negatively with O3.Then through establishing Autoregressive Integrated Moving Average Model(ARMA) to predict the PM2.5 in Changsha,we got ARMA(3,2) is the best.Last, we provide some references to the control of PM2.5 in Changsha.关键词
PM2.5/AQI/多元回归模型/ARMAKey words
PM2.5/AQI/multivariate regression model/ARMA分类
数理科学引用本文复制引用
李波,朱恩文,冯倩..基于时间序列的长沙市PM2.5的统计分析[J].经济数学,2017,34(1):105-110,6.基金项目
国家自然科学基金资助项目(11101054) （11101054）
湖南省教育厅重点项目(16A005) （16A005）
国家级大学生创新创业训练试计划项目(201410536011) （201410536011）
