【摘要】 小波分析(Wavelet Analysis)是时间-频率分析领域近年来迅速发展的一种新技术,具有多时间尺度,多层次和多分辨的特性,已被广泛地应用在信号分析、信息分析和地球科学研究上。本文以大亚湾大鹏澳水域2002年春秋两季浮游植物30d连续观测资料为例,首次运用小波技术分析浮游植物对生境变化的响应特征。结果表明,通过小波变换的浮游植物数量(细胞密度)的时间序列,存在各自的优势周期和多时间尺度结构特征,而春秋两季浮游植物细胞密度的优势周期和多时间尺度结构,在大尺度上大致相同,但在小尺度结构上稍有差别;使用不同小波变换(如 Mexh小波变换和Morlet小波变换)可以取得各自不同特点的结果。本文对小波分析技术在生态环境研究的初步应用说明,小波分析技术可以对生态系统中浮游植物的动态变化进行多时间尺度,多层次和多分辨的分析,为深入研究和预测浮游植物的动态变化提供一种新的分析手段。更多还原

【Abstract】 Wavelet Analysis is a new technique which developing quickly in time-frequency analysis.Because of its characteristics of multiple timescales,multiple layers and multiple resolutions,wavelet analysis has been applied widely in signal analysis,information analysis and earth sciences,etc.In this paper,wavelet technique was used to analyze phytoplankton variation for the first time on the basis of two 30-day in situ observations which carried out in spring and autumn 2002,at the fish-farming area of Dapang’Ao Cove,Daya Bay.Results showed that,the wavelet transform of spring and autumn phytoplankton density time series have characteristics of dominance periods and multiple timescales,which consistent on large scale but differential on small scale.And the analysis results of different wavelet transforms (such as Mexh wavelet transform and Morlet wavelet transform) have some different characteristics.The preliminary application of wavelet analysis technique in ecological study on coastal waters shows that,wavelet analysis technique can be applied to analyze the dynamic variation of phytoplankton in ecosystem on multiple timescales,multiple layers and multiple resolutions,and provids a new method for further studying and forecasting phytoplankton dynamics.更多还原