地理空间信息2026，Vol.24Issue(4)：86-91,6.DOI:10.3969/j.issn.1672-4623.2026.04.018
基于浮标GNSS的海洋潮汐参数估计及潮汐模型适应性评估
Ocean Tidal Parameter Estimation and Adaptability Evaluation of Tidal Model Based on GNSS Buoy
摘要
Abstract
The estimation of tidal parameters,such as K1 and K2 constituent tides,using global positioning system(GPS)data from ocean buoy platforms may yield unsatisfactory results.In this study,we employed a multi-system global navigation satellite system(GNSS)strategy to accu-rately estimate the main tidal parameters of ocean,proposed an optimal GNSS system combination strategy tailored for different tidal compo-nents,and evaluated the adaptability of tidal models within the region.We used the dynamic precise point positioning(PPP)techniques,low-pass filtering,and harmonic analysis to estimate and analyze the amplitudes and phases of eight principal tidal constituents(M2,S2,N2,K2,O1,P1,K1,Q1).We incorporated multi-system GNSS observational data,combined with pressure gauge measurements and tidal model predictions(FES2022 and EOT20)to comprehensively evaluate the positioning accuracy and tidal parameter estimation accuracy of different GNSS system combinations.Results indicate that multi-system GNSS combinations(notably GPS+GLONASS+Galileo+BDS)outperform the single GPS sys-tem in most tidal constituents.Additionally,in the study area,the FES2022 and EOT20 tidal models demonstrate strong predictive capabilities for high-amplitude constituents(e.g.,M2 and K1),but tend to overestimate low-amplitude constituents(e.g.,Q1).This study validates the advantag-es of multi-GNSS buoys in ocean tidal parameter estimation,providing significant insights for improving tidal parameter monitoring accuracy and enhancing regional tidal models.关键词
海洋潮汐/多全球导航卫星系统组合/振幅/相位/滤波/调和分析Key words
ocean tide/multi-GNSS combination/amplitude/phase/filtering/harmonic analysis分类
天文与地球科学引用本文复制引用
张春宗,徐得贵,钟昌海,林自乐,孔建,黄昕..基于浮标GNSS的海洋潮汐参数估计及潮汐模型适应性评估[J].地理空间信息,2026,24(4):86-91,6.基金项目
国家自然科学基金资助项目(42274031) （42274031）
广西重点研发计划资助项目(桂科AB22080077) （桂科AB22080077）
自然资源部北部湾经济区自然资源监测评价工程技术创新中心开放课题(BBW2024001). （BBW2024001）
