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基于小波分析的GPS PWV与PM2.5比较研究
引用本文:王勇,刘严萍.基于小波分析的GPS PWV与PM2.5比较研究[J].大地测量与地球动力学,2016,36(5):430.
作者姓名:王勇  刘严萍
摘    要:通过比较2013-11~12的BJNM站点GPS PWV序列与天坛站点PM2.5浓度序列发现,两者的相关系数大于0.535,sig值小于0.01,存在显著的正相关特性;基于小波分析方法剔除高频噪声、细微扰动和小尺度系统影响的第4层低频系数重构的PWV序列与PM2.5序列的相关性达到0.749;高频系数重构的PM2.5序列与PWV序列的相关性达到0.839,更能反映两者的正相关特性。

关 键 词:GPS  水汽  PM2.5  小波分析  

Comparison of PM2.5 and GPS PWV Based on Wavelet Analysis
WANG Yong,LIU Yanping.Comparison of PM2.5 and GPS PWV Based on Wavelet Analysis[J].Journal of Geodesy and Geodynamics,2016,36(5):430.
Authors:WANG Yong  LIU Yanping
Abstract:During the period of November and December in 2013, for the coefficient larger than 0.535 and sig value less than 0.01, it is concluded that there are significant positive correlation properties between GPS PWV and PM2.5. The coefficient between PM2.5 and the reconstructed PWV sequence amounts to 0.749, in which the reconstructed PWV sequence eliminates high frequency noise, small disturbances and small scale system influences. It better reflects the positive correlation between PWV and PM2.5 that the coefficient of the reconstructed high frequency between PWV and PM2.5 amounts to 0.839.
Keywords:GPS  precipitable water vapor  PM2  5  wavelet analysis  
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