华中师范大学学报（自然科学版）2023，Vol.57Issue(6)：821-836,16.DOI:10.19603/j.cnki.1000-1190.2023.06.008
不同时间尺度多源时序数据的FEEMD分解比较研究
Comparative study of FEEMD decomposition of multisource time series remote sensing data at different time scales
摘要
Abstract
The long time series chlorophyll a concentration and related environmental factors in the northeastern South China Sea are affected by multi-scale physical forcing,which have nonlinear and non-stationary characteristics.Therefore,it is difficult to decompose the data in this region.In this study,an adaptive,non-linear,non-stationary FEEMD method is utilized to decompose the 8-day-scale and monthly-scale datasets of chlorophyll a concentration and associated environmental factors.The results are shown as follows.1)FEEMD can effectively overcome the high-frequency mode mixing problem of EMD and EEMD;2)FEEMD is 10 times faster than EMD and EEMD;3)The overall trends of the 21-year data decomposed based on 8-day and monthly scale data are consistent;4)The 8-day scale datas can be decomposed into more physically significant high-frequency modes than monthly data.The calculation of these high-frequency modes reveals that the 8-day scale datas can be decomposed into periods as short as about 2 months,4 months(seasons),and 6 months(half year);5)The 8-day chlorophyll a concentration data can be decomposed into cycles of up to about 5 years,and other related environmental factors can be decomposed into very long cycles of 10-14 years,while the monthly scale data can only be decomposed into annual scale cycles.The analysis results of this paper demonstrated that the FEEMD method can effective decompose long time series data in the study area with complex environment,high dynamic factors.The optimal results achieved by FEEMD in data decomposition in complex regions can provide implications for subsequent studies of multifactor-driven relationships in this area.关键词
FEEMD/数据分解/叶绿素a浓度/环境因子/南海东北部Key words
FEEMD/data decomposition/chlorophyll-a concentration/environmental factors/the northeastern South China Sea分类
医药卫生引用本文复制引用
王正,邱士可,曾群,吕言利,王超,张起萍,李双权..不同时间尺度多源时序数据的FEEMD分解比较研究[J].华中师范大学学报（自然科学版）,2023,57(6):821-836,16.基金项目
河南省重点研发与推广专项(科技攻关)项目(232102321100,222102320467) （科技攻关）
河南省科学院中央引导地方科技发展专项项目(211201004) （211201004）
河南省科学院重大聚焦项目(210101007) （210101007）
河南省科学院特聘研究员项目(230501008) （230501008）
河南省软科学研究计划项目(232400411139). （232400411139）
