摘要
利用SARIMA模型对保定市空气质量进行了预测分析.通过分析保定市2014.4.1~2018.3.31的SO_2、PM_(2.5)、SO_2、CO、SO_2、O_36个指标的监测数据,利用SPSS软件对6种空气污染指标值的变动情况进行了预测,并研究了空气质量的规律性变化。Box-Lung Q检验值及决定系数R方表明:SARIMA模型预测效果较为理想,有一定的应用价值。
This paper uses the SARIMA model to predict and analyze the air quality of Baoding City.By analyzing the monitoring data of the six indicators of Baoding City on 2014.4.1-2018.3.31,and using SPSS software,the changes of the six air pollution index values are analyzed.The prediction is carried out and the regularity of air quality is analyzed.The Box-Lung Q test value and the R coefficient of the decision coefficient indicate that the SARIMA model has a satisfactory prediction effect and has certain application value.
作者
朱雪妹
米江晅
郑冬冬
冀德刚
Zhu Xuemei;Mi Jiangxuan;Zheng Dongdong;Ji Degang(College of Science,Agricultural University of Hebei,Baoding,Hebei,071000,China)
出处
《绿色科技》
2018年第14期43-45,共3页
Journal of Green Science and Technology
基金
河北省高等学校科学技术青年基金研究项目(编号:QN2016243)
