Prediction of Air Quality Index in Qujing Based on SARIMA Model

Abstract

Abstract: Based on the monthly data of ambient air quality index of Qujing from January 2014 to December 2017, this paper analyzes the white noise, stationarity, autocorrelation and partial correlation of data series by using R software, and establishes the SARMA model, the air quality prediction model of Qujing. The significance of the model has been tested. And this paper has conducted a six-period forecasting analysis.The research results show that the error between the fitted value and the real value of the model is very small, and the AQI sequence in Qujing shows a decreasing trend in the future.

Key words: Qujing, AQI index, SARMA model, Prediction

CLC Number:

O212.1|X11

Wang Kun, Ruan Jinmei, Deng Ni. Prediction of Air Quality Index in Qujing Based on SARIMA Model[J]. JOURNAL OF QUJING NORMAL UNIVERSITY, 2018, 37(3): 25-29.

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Prediction of Air Quality Index in Qujing Based on SARIMA Model

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