BP神经网络天顶湿延迟与雾霾相关分析  

Correlation analysis between zenith wet delay and haze by BP neural network

作　　者：章红 高雅萍[1] 

机构地区：[1]成都理工大学地球科学学院,成都610059

出　　处：《导航定位学报》2017年第4期46-50,共5页Journal of Navigation and Positioning

摘　　要：为了进一步研究监测雾霾的方法,提出运用GPS手段进行雾霾监测:先对天顶湿延迟与PM2.5含量进行相关性分析;然后利用BP神经网络对雾霾天气进行预测,通过分析天顶湿延迟的变化趋势推导出雾霾的变化趋势。实验结果表明:雾霾与天顶湿延迟具有一定的正相关性,BP神经网络方法能够在一定程度上利用天顶湿延迟的含量变化预测雾霾的变化。In order to further study on the technological methods of mornitoring haze,the paper proposed to use GPS in the supervision:the correlation between zenith wet delay and PM2.5contents was analyzed,and the hazy weather was predicted by using BP neural network,and the changing trend of haze was deduced through analyzing that of zenith wet delay.Experimental result showed that there existed a positive correlation between haze and zenith wet delay,and the BP neural network method could predict the change of haze by analyzing the content change of zenith wet delay to some extent.

关 键 词：雾霾 BP神经网络 天顶湿延迟 PM2.5 

分 类 号：P228[天文地球—大地测量学与测量工程]