摘要
精确估计海平面变化速度时,针对验潮站水位序列中噪声造成负面影响的问题,本文章基于整合经验模态分解(EEMD)方法进行改进且得出了一种降噪新方法。该方法采用EEMD方法进行水位序列的分解,结合相关系数进行噪声中的高频噪声与低频信号分离。以美国西海岸31个长期验潮站进行实验分析,通过海平面速度评价指标进行定量估计,实验结果表明:通过EEMD进行降噪处理后的验潮站水位序列能清晰地表现出验潮站点的长期变化趋势,其海平面变化速度不确定度平均减小0.197 mm/a,拥有更高的速度估计精度,并且在较高纬度地区降噪效果更突出。
Aiming at the problem that the noise in the tide station water level sequence has a negative impact on the accurate estimation of the sea level change speed,this paper improved the ensemble empirical mode decomposition method(EEMD)and obtained a new method of noise reduction.The method explored the EEMD method for the decomposition of water level sequences,and combined the correlation coefficient for the separation of high-frequency noise from low-frequency signals in the noise.The experimental results showed that the water level series of tide detection stations could clearly show the long-term trend of tide gauge stations after noise reduction by EEMD,and the uncertainty of sea level change velocity was reduced by 0.197 mm/a on average,which had higher accuracy of velocity estimation and was more effective in higher latitudes.
作者
化远洋
贺小星
孙喜文
唐正华
白婉仪
HUA Yuanyang;HE Xiaoxing;SUN Xiwen;TANG Zhenghua;BAI Wanyi(School of Civil and Mapping Engineering,Jiangxi Institute of Technology,Ganzhou Jiangxi 341000,China;School of Surveying and Mapping Engineering,East China University of Technology,Nanchang Jiangxi 330013,China)
出处
《北京测绘》
2023年第4期598-602,共5页
Beijing Surveying and Mapping
基金
国家自然科学基金(41904002,42104023)
江西理工大学高层次人才科研启动项目(205200100588,205200100564)
江西理工大学大学生创新创业训练资助项目(202210407032)。
关键词
海平面变化
验潮站水位序列
整合经验模态分解
速度不确定度
水位序列降噪
sea level change
tide detection stations water level series
ensemble empirical modal decomposition
velocity uncertainty
water level series noise reduction
