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基于增量自校的潮汐形变观测数据格值变化检测和数据归算
引用本文:吕品姬,吴 凯,唐 磊,陈志遥.基于增量自校的潮汐形变观测数据格值变化检测和数据归算[J].大地测量与地球动力学,2017,37(4):416-419.
作者姓名:吕品姬  吴 凯  唐 磊  陈志遥
摘    要:基于潮汐形变观测数据与理论固体潮数据在增量上的高度一致性,提出对增量一致性高于70%的潮汐形变观测数据,用观测值与理论值增量的日变幅之比作为振幅因子来检测格值变化,并对使用了错误格值的观测数据进行归算。该方法仅用1 d的数据即可检测出格值变化情况,适用于格值骤变和格值缓变两种情况。通过对比格值修正前后的观测数据,说明格值变化检测和数据归算在潮汐形变观测数据分析中的意义。

关 键 词:潮汐形变  格值变化检测  数据归算  增量自校  

Scale Change Detection and Data Reduction of Earth Tide Deformation Based on Incremental Self-Calibration Method
LU Pinji,WU Kai,TANG Lei,CHEN Zhiyao.Scale Change Detection and Data Reduction of Earth Tide Deformation Based on Incremental Self-Calibration Method[J].Journal of Geodesy and Geodynamics,2017,37(4):416-419.
Authors:LU Pinji  WU Kai  TANG Lei  CHEN Zhiyao
Abstract:According to the high consistency between the observed and theoretical data of the crustal deformation incremental value, we take the ratio of daily change amplitudes as a factor to detect scale changes. The method is used on most tidal deformation observation data in which the correlation coefficient is higher than 70%. Only one day’s data is needed to detect both the grid change and the graded change of the scale. Correcting data leads to different results, indicating that it is important to detect the change of scale and correct the data before analysis.
Keywords:earth tide deformation  scale change detection  data reduction  incremental self-calibration  
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