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Multi-temporal scale characteristics of algae biomass and selected environmental parameters based on wavelet analysis in Lake Taihu, China

机译：基于小波分析的太湖藻类生物量多时相尺度特征及环境参数选择

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摘要

It is widely accepted that algal blooms are a result of eutrophication processes. Water temperature, total phosphorus and total nitrogen are the main environmental parameters impacting Chlorophylla (Chla) in aquatic ecosystems. To elucidate the variability of these parameters in Lake Taihu, China, we analyzed their multi-temporal characteristics using wavelet power spectrum. We evaluated the non-stationary statistical association between algal biomass (as Chla) and the selected environmental parameters using wavelet coherence and wavelet phase difference. Our results indicate that these variables presented periodic oscillations in frequency domain and localization along time axis. Significant 3-4 month and annual bands are identified in both algal and environmental parameters variations. Chla responded quickly to variation in water temperature but showed a delayed response to variation in total nitrogen; it also showed a delayed response to variation in total phosphorus during 1995-1997, but responded more quickly in recent years. The intensity of oscillation power in frequency domain resulted in non-stationary statistical association, and the phase difference in time domain resulted in time-lag correlations between Chla and the selected environmental indices. These results contribute to elucidate the nonlinear eutrophication dynamic process and provide information for algal bloom prediction and lake management.
机译：人们普遍认为藻华是富营养化过程的结果。水温，总磷和总氮是影响水生生态系统中叶绿素（Chla）的主要环境参数。为了阐明这些参数在太湖地区的可变性，我们使用小波功率谱分析了它们的多时相特征。我们使用小波相干性和小波相差评估了藻类生物量（如Chla）与所选环境参数之间的非平稳统计关联。我们的结果表明，这些变量在频域和沿时间轴的本地化方面呈现周期性振荡。在藻类和环境参数的变化中都可以识别出3-4个月和每年的重要波段。 Chla对水温变化快速响应，但对总氮变化显示延迟响应。在1995-1997年间，它还显示出对总磷变化的响应延迟，但近年来响应更快。频域中的振荡功率强度导致非平稳统计关联，时域中的相位差导致Chla与所选环境指标之间存在时滞相关性。这些结果有助于阐明非线性富营养化动力学过程，并为藻华预测和湖泊管理提供信息。

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