基于ARIMA时间序列的广州空气质量分析

Analysis on Air Quality in Guangzhou by ARIMA Model

本文选取广州11个空气质量观测点2013年4月10日至2013年11月1日的空气观测数据,利用ARIMA时间序列的方法对其进行研究和分析。在此基础上,根据实际报道的情况验证了结果具有较广泛的适用性,对空气质量进行相应的解读。

This paper uses the ARIMA model to make analysis about the level of atmosphere in Guangzhou. In the data from the 11 observatories, we select the data from April 10th to November 1st in 2013. Then, we compare the result with the situation discussed by some news reports. With deeper analysis, it turns out that the result is similar to the real situation.