唐岩, 暴景阳, 刘雁春, 张立华. 短期潮汐潮流数据的正交潮响应分析研究[J]. 武汉大学学报 ( 信息科学版), 2010, 35(10): 1151-1156.
引用本文: 唐岩, 暴景阳, 刘雁春, 张立华. 短期潮汐潮流数据的正交潮响应分析研究[J]. 武汉大学学报 ( 信息科学版), 2010, 35(10): 1151-1156.
TANG Yan, BAO Jingyang, LIU Yanchun, ZHANG Lihua. Research on Orthogonal Response Analysis of Tide and Current Using Short Term Data[J]. Geomatics and Information Science of Wuhan University, 2010, 35(10): 1151-1156.
Citation: TANG Yan, BAO Jingyang, LIU Yanchun, ZHANG Lihua. Research on Orthogonal Response Analysis of Tide and Current Using Short Term Data[J]. Geomatics and Information Science of Wuhan University, 2010, 35(10): 1151-1156.

短期潮汐潮流数据的正交潮响应分析研究

Research on Orthogonal Response Analysis of Tide and Current Using Short Term Data

  • 摘要: 论证并试验证明了正交潮响应分析对潮汐潮流数据的时间长度的要求,得出理论最短数据时间长度为2 d;但对于实测数据,要求在以全日潮为主的海区需7 d以上数据,在以半日潮为主的海区需10 d以上。对于一天到几天的数据,通过引入比例关系和改变模型中Δτ的取值,实现了对数据的建模分析。经对中国12个主要验潮站连续366 d数据的试验验证,短期与长期(1 a)数据分析结果相近,而与准调和分析相比较,正交潮响应分析具有较高的精度,且不存在良好天文观测日期的选择问题。

     

    Abstract: The requirement of tide or current data length of orthogonal response analysis is researched through theoretical deduction and experiment.The results show that it requires at least 2 day-length of ideal data.But for the actual observations,it requires at least 7 day-length data in the diurnal tide dominated area,and 10 days in the semi-diurnal tide dominated area.Towards a shorter term data than described above,an improved model of orthogonal response analysis is found and used to analysis this type of data through introducing ratio of parameters and changing the value of Δτ.The result of experiment using 366 groups of data at 12 stations in China,which contains 1 day-length data in each group,showed that the parameters calculated from short term data are close to the ones from long term data(annual data).Finally,a comparison between orthogonal response analysis and quasi-harmonic analysis for short term data is studied through both theoretical deduction and experiment.The results showed that the former one has a higher precision and does not have to take good astronomic date into account.

     

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