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作 者:龚非非 GONG Feifei(POWERCHINA Shanghai Electric Power Engineering Company Limited,Shanghai 200231,China)
出 处:《北京测绘》2024年第9期1381-1386,共6页Beijing Surveying and Mapping
摘 要:本研究应用动态精密单点定位(PPP)技术,基于香港地区全球导航卫星系统(GNSS)5个测站的垂直坐标时间序列,估计海潮负载位移,并与海潮模型预测进行比较分析。研究中采用奇异谱分析(SSA)对时间序列进行降噪处理,分析噪声对海潮负载位移估计的影响。结果表明,SSA降噪显著提升了坐标时间序列的精度,其中白噪声和有色噪声分别下降了60.4%和21.68%。SSA降噪后,海潮负载位移反演值与模型预测值间的差异减少,显示噪声改正对提升反演精度有积极作用。利用GNSS PPP估计的M_(2)、K_(1)、K_(2)、O_(1)这四种主要潮汐分量引起的地表负载位移,与海潮模型的预测值之间存在一定的偏差,但SSA降噪后的均方根误差不符值有所下降。本研究证实了利用GNSS PPP技术估计海潮负载位移的可行性,并强调了降低噪声在提高估计精度方面的重要性。This study applied the kinematic precise point positioning(PPP)technique and utilized the vertical coordinate time series from five global navigation satellite system(GNSS)stations in Hong Kong,China to estimate ocean tide loading displacements(OTLD).These estimates were then compared with predictions from ocean tide models.Singular spectrum analysis(SSA)was employed to denoise the time series,assessing the impact of noise on the estimation of OTLD.The results indicate that SSA denoising significantly enhances the accuracy of the coordinate time series,with reductions in white noise and colored noise by 60.4%and 21.68%,respectively.After SSA denoising,the discrepancy between the inverted values of OTLD and model predictions decreases,demonstrating the positive effect of noise correction in improving inversion accuracy.The OTLD caused by the four main tidal components,namely M_(2),K_(1),K_(2),and O_(1) estimated by GNSS PPP shows discrepancies with ocean tide predictions,but the root mean square error of these discrepancies decreases after SSA denoising.This research confirms the feasibility of using the GNSS PPP technique to estimate OTLD and underscores the importance of denoising in enhancing estimation accuracy.
关 键 词:海潮负荷位移 动态精密单点定位 噪声 全球导航卫星系统(GNSS) 海潮模型
分 类 号:P228.4[天文地球—大地测量学与测量工程]
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