基于调和分析的短期潮位粗差探测与修复方法研究

Study on Gross Error Detection and Repair Method for Short-term Tidal based on Harmonic Analysis

海图深度基准面是通过对潮位资料计算得到的,而潮位观测数据在观测过程中避免不了受到潮汐及外界因素影响,致使潮位资料含有误差。含有误差的潮位数据必然会影响海图深度基准面的精度,进一步对海洋无缝垂直基面的建立产生影响。该文采用基于调和分析的粗差探测与修复方法,并编制了相应的计算程序。采用13个分潮的潮位方法对潮位数据进行调和分析,根据潮汐调和常数的稳定性,建立基于潮汐调和分析的粗差探测与修复模型;比较并分析了基于频谱分析的粗差探测与修复模型和基于潮汐调和分析的潮位粗差探测与修复模型在海洋潮位数据粗差处理中的精度。研究表明,利用调和分析的粗差探测与修复方法,既可以有效的修复潮位序列中的粗差,又可以保留原始数据的真实性。

The chart datum is obtained by calculating tidal data,but the tidal observational data cann＇t avoid the effect by the tide and external factors in the observation process,and these cause the tidal data containing errors. The tidal data containing errors will inevitably affect the accuracy of chart datum,further impact on the establishment of a seamless vertical base surface of the ocean. In this paper,based on the gross error detection and repair method of harmonic analysis,and a corresponding computer program is worked out. The tidal data is reconciled and analysed by using the tidal method of 13 partial tides.Based on the stability of tidal harmonic constants,the gross error detection and repair models are established based on tidal harmonic analysis. The gross error handling accuracy of ocean tidal data by the gross error detection and repair models are compared by based on spectral analysis and based on tidal harmonic analysis. The research shows that the gross error detection and repair methods based on harmonic analysis not only can repair gross error in tide sequence effectively,but also can retain the authenticity of the original data.