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基于潮汐调和分析的全球定位系统-多路径反射测量技术潮位预报
引用本文:王森,刘立龙,黄良珂,周威.基于潮汐调和分析的全球定位系统-多路径反射测量技术潮位预报[J].科学技术与工程,2021,21(9):3481-3486.
作者姓名:王森  刘立龙  黄良珂  周威
作者单位:桂林理工大学测绘地理信息学院,桂林541004;广西空间信息与测绘重点实验室,桂林 541004;海军工程大学电气工程学院,武汉 430079
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:基于全球定位系统的多路径反射(GPS-MR)测量技术的潮位监测已经成为验潮站监测的有效补充,但较少学者利用GPS-MR反演潮位进行潮汐调和分析和预报.为了验证GPS-MR潮位预报的可能性,利用美国大陆板块边缘观测组织(PBO)提供的GPS信噪比数据进行潮位反演,将该反演结果重采样为等间隔潮位序列,利用该潮位序列计算各分潮的调和常数,并进行潮汐预报.通过与美国海洋与大气局(NOAA)提供的实测验潮数据进行对比,结果表明:GPS-MR反演潮位与验潮站实测潮位具有一致性,相关系数为0.94,均方根误差为0.16 m;经样条函数拟合后的1 h GPS-MR潮位序列预测结果同采用验潮站潮位进行预测结果精度相当,同验潮站实测潮位的均方根误差为0.14 m,相关系数为0.97.可见,利用GPS-MR技术进行潮位监测和预报是可行的.

关 键 词:全球定位系统  潮位监测  潮汐预报  基于全球定位系统的多路径反射(GPS-MR)  潮汐分析
收稿时间:2020/6/30 0:00:00
修稿时间:2021/3/25 0:00:00

GPS-MR Sea Level Inversion and Prediction Based on Tidal Harmonic Analysis
Wang Sen,Liu Lilong,Huang Liangke,Zhou Wei.GPS-MR Sea Level Inversion and Prediction Based on Tidal Harmonic Analysis[J].Science Technology and Engineering,2021,21(9):3481-3486.
Authors:Wang Sen  Liu Lilong  Huang Liangke  Zhou Wei
Institution:College of Geomatics and Geoinformation,Guilin University of Technology; School of Electric Engineering,Naval University of Engineering
Abstract:The use of GPS-MR for tide level monitoring has become an effective supplement for tide station monitoring, but only a few scholars have used GPS-MR for tide level inversion for tide prediction. To investigate the possibility of GPS-MR tide level prediction, this paper uses the GPS signal-to-noise ratio data provided by the Continental Plate Edge Observing Organization (PBO) to perform tide level inversion, resample the inversion results as equal-interval tide level series, calculates the harmonic constants of each tide component using the tide level series, and performs tide prediction. The results show that the GPS-MR inversion tide levels are consistent with the measured tide levels at tide stations, with a correlation coefficient of 0.94 and a root-mean-square error of 0.16 m. The result of GPS-MR tide level prediction is not different from that of tide level prediction by tidal station. The root-mean-square error of the measured tide level by tidal station is 0.14 m, and the correlation coefficient is 0.97. Therefore, it is feasible to use GPS-MR technology to monitor and forecast tide level.
Keywords:global positioning system(GPS)  tidal level monitoring  tidal level forecast  GPS-MR  harmonic tidal analysis
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