基于ARMA模型的潮位拟合及内插研究  

Research on tide fitting and interpolation based on ARMA model

作　　者：耿宏 王伟 邢承滨 GENG Hong;WANG Wei;XING Chengbin(Tianjin Survey and Design Institute for Water Transport Engineering,Tianjin Key Laboratory of Surveying and Mapping for Waterway Transport Engineering,Tianjin 300456,China)

机构地区：[1]天津水运工程勘察设计院有限公司天津市水运工程测绘技术重点实验室,天津300456

出　　处：《海洋测绘》2021年第5期17-20,25,共5页Hydrographic Surveying and Charting

基　　金：天津市科技计划创新平台与人才专项(16PTSYJC00190);中央级公益性科研院所基本科研业务费(TKS160216,SJY20200301)。

摘　　要：在水深测量过程中,采集的潮位数据往往存在断缺现象,给水深测量内业工作者造成干扰。针对潮位数据断缺问题,对断缺数据简单预处理后,利用ARMA模型对潮位数据序列变化规律进行分析,拟合潮位时间序列数据变化趋势,然后将拟合的值内插到数据断缺处,以建立完整的潮位改正文件,最后对拟合模型进行精度评价分析。实验结果表明,拟合模型精度良好,可以快速获取符合要求的插值,提高工作效率。Tide level data correction is a very important part during bathymetry.The collected tide level data is often missing in practice,which make troubles to tide data processing in bathymetry.Aiming at the problem of the tide data gap,this paper preprocesses the lack of data briefly,uses the ARMA model to analyze the change law of tide level data series,fits the trend of tide level time series data,and then interpolates the fitted values into the data segment.The accuracy of the fitting model is evaluated and analyzed in order to establish a complete tide level correction file.The experimental results show that the accuracy of the fitting model is good,and the interpolation that meets the requirements can be obtained quickly,and the work efficiency is improved.

关 键 词：潮位观测 数据断缺 时间序列分析 潮位内插 自回归移动平均模型 

分 类 号：P229.7[天文地球—大地测量学与测量工程]