基于时间序列的北京空气质量分析
摘要
本文对北京市的空气质量变化进行分析,通过运用时间序列分析方法对北京市的空气质量进行总结,通过选取北京2017年年初到2018年年初,总共一整年的空气质量指数AQI作为指标,通过对其进行时间序列分析,观察空气质量指数AQI的变化趋势,以及总体走,分析空气质量指数的置后效应,以及观察空气质量指数AQI的总体形势,了解不同时间的空气质量指数的高低,从而在将来做出应对之策。
In this paper, the air quality changes in Beijing are analyzed. By using time series analysis method, the air quality of Beijing is summed up. By selecting the total annual air quality index(AQI) as a target, the air quality index(air quality index) is observed from the beginning of 2017 to the beginning of 2018 in Beijing, and the air quality index is observed by the time seriesanalysis. The change trend of AQI, as well as the overall walk, analyze the post effect of airquality index, and observe the overall situation of air quality index AQI, understand the air quality index of different time, so as to make the Countermeasures in the future.
In this paper, the air quality changes in Beijing are analyzed. By using time series analysis method, the air quality of Beijing is summed up. By selecting the total annual air quality index(AQI) as a target, the air quality index(air quality index) is observed from the beginning of 2017 to the beginning of 2018 in Beijing, and the air quality index is observed by the time seriesanalysis. The change trend of AQI, as well as the overall walk, analyze the post effect of airquality index, and observe the overall situation of air quality index AQI, understand the air quality index of different time, so as to make the Countermeasures in the future.
引文
[1]贺冉冉,朱兰保,周开胜.基于时间序列模型残差的中国东部地区空气质量指数(AQI)空间自相关特征分析[J].环境科学学报2017-02-24.
[2]林植林,莫斌.基于ARIMA时间序列的广州空气质量分析[J].湖南工业职业技术学院学报,2014,8,15.
[3]喻彩丽.基于空气质量时间序列分析的预测模型设计与应用[D].银川:宁夏大学.
[4]黄晓英,李娟.基于污染损害指数的环境空气质量评价与分析[J].环境保护与循环经济,2009,6,15.
[5]刘满凤,谢晗进.基于空气质量指数AQI的污染集聚空间异质性分析[J].经济地理,2016,8,4.
[2]林植林,莫斌.基于ARIMA时间序列的广州空气质量分析[J].湖南工业职业技术学院学报,2014,8,15.
[3]喻彩丽.基于空气质量时间序列分析的预测模型设计与应用[D].银川:宁夏大学.
[4]黄晓英,李娟.基于污染损害指数的环境空气质量评价与分析[J].环境保护与循环经济,2009,6,15.
[5]刘满凤,谢晗进.基于空气质量指数AQI的污染集聚空间异质性分析[J].经济地理,2016,8,4.