摘要
针对验潮站坐标时间序列中有色噪声的影响,提出以集合经验模态分解(EEMD)方法对62个长跨度验潮站坐标时间序列进行降噪处理,并采用自回归滑动平均模型(ARMA)计算验潮站变化速度。论述EEMD方法对验潮站速度估计的影响,并对海平面变化进行分析。结果表明:EEMD方法降噪能较好地剔除验潮站扰动,降低时间序列振幅波动,从而有效提高验潮站坐标时间序列的稳定性。速度估算结果表明经EEMD降噪后,可以获得更高精度的速度参数,但数据的缺失会对降噪效果产生一定影响。验潮站速度统计分析结果显示60%的验潮站速度值集中在0~2 mm/a内,其余站点速度差异较大。受地理位置的影响,验潮站速度具有区域性分布特点,平均海平面变化速率为0.423mm/a,整体表现出缓慢上升趋势。
Aiming at investigating the influence of colored noise on the coordinate time series of tide gauge stations,Ensemble Empirical Mode Decomposition(EEMD)method is used to reduce the noise of the time series of 62 long-span tide gauge stations,and Autoregressive Moving Average Model(ARMA)is employed to calculate the change speed of the stations.The influence of EEMD method on the speed estimation of the tide gauge stations is discussed,and the sea level change is analyzed.The noise reduction of the EEMD method can better eliminate the disturbance of the tide gauge station,reduce the amplitude fluctuation of the time series,thereby improving the stability of the time series of the tide gauge station.Through the process of the speed estimation,can be seen that the higher precision speed parameters can be obtained by EEMD method.But,the lack of data will have a certain impact on the noise reduction effect.The analysis of speed statistical results of the tide gauge stations indicates that 60%of the speed values of tide gauge stations concentrate in the range of 0-2 mm/a.Other sites have obvious differences.What’s more,the speeds of tide gauge stations show the characteristics of regional distribution considering the influence of geographical location.The change rate of average sea level is 0.423 mm/a,indicating the level is rising in a slow trend.
作者
付杰
贺小星
聂启祥
郇常敏
陈红康
FU Jie;HE Xiaoxing;NIE Qixiang;XUN Changmin;CHEN Hongkang(School of Civil Engineer and Architecture,East China Jiaotong University,Nanchang 330013,China;College of Architecture and Surveying Engineering,Jiangxi University of Science and Technology,Ganzhou,Jiangxi 341000,China;School of Surveying and Mapping Engineering,East China Institute of Technology,Nanchang 330032)
出处
《导航定位学报》
CSCD
2022年第4期100-107,共8页
Journal of Navigation and Positioning
基金
国家自然科学基金项目(42104023)
江西理工大学高层次人才科研启动项目(2021205200100564)
江西省教育科学“十四五”规划课题项目(21YB072)
江西省教育厅科学技术研究项目(GJJ200639,GJJ171293)
江西省水工安全工程技术研究中心开放研究基金(2020GGCZX04)。
关键词
集合经验模态分解法
验潮站
速度估计
海平面变化
时间序列
ensemble empirical mode d ecomposition
tide gauge station
velocity estimation
sea level change
time series
