摘要
通过建立模糊时间序列模型进行空气质量指数AQI的预测,与传统时间序列ARIMA模型对AQI的预测进行对比分析。应用南京市2015年5月至9月的空气质量日资料数据进行实证分析与检验。结果表明,将模糊时间序列用于空气质量指数AQI的预测能够获得较为理想的预测结果,为空气质量指数的预测提供了新思路。
The fuzzy time series model for air quality index forecasts was established,the model was compared with the traditional time series model for the forecast of AQI.The model was tested by the data of AQI in Nanjing from May to September in 2015.The results show that the forecast results is ideal to predict air quality index by using the fuzzy time series model and it provides a new method for the forecast of air quality.
作者
李博群
贾政权
刘利平
LI Bo-qun, JIA Zheng-quan, LIU Li-ping(College of Information Engineering, North China University of Science and Technology, Tangshan Hebei 063210, Chin)
出处
《华北理工大学学报（自然科学版）》
CAS
2018年第3期78-86,共9页
Journal of North China University of Science and Technology：Natural Science Edition
基金
唐山市科学技术研究与发展计划(第二批)项目(NO.15130205B)
河北省科技厅重点研发计划自筹项目(NO.15210343)
