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A novel technique for experimental modal analysis of barotropic seiches for assessing lake energetics

机译:评估湖精力学的波奇分析实验模拟分析新技术

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Basin scale seiches in lakes are important elements of the total energy budget and are a driver of fluxes of important ecological parameters, such as oxygen, nutrients, and sediments. At present, the extraction of the damping ratios of surface seiches, which are directly related to the capacity of seiches to drive these fluxes through the increased mixing of the water column, is reliant on spectral analysis which may be heavily influenced by the transformation of water level records from the time domain to the frequency domain, and which are sensitive to the level of noise present within the data. Existing spectral-based methods struggle to extract the periods of surface seiches which are of similar magnitude due to the overlap between their spectral responses. In this study, the principles of operational modal analysis, through the random decrement technique (RDT), currently used primarily in the analysis of high rise structures and in the aeronautical industry and not previously applied within the fields of limnology or ecology, are applied to barotropic seiches through the analysis of water level data for Lake Geneva, Switzerland, and Lake Tahoe, USA. Using this technique, the autocorrelation of the measurements is estimated using the RDT and modal analysis can then be carried out on this time-domain signal to estimate periods of the dominant surface seiches and the corresponding damping ratios. The estimated periods show good agreement with experimental results obtained through conventional spectral techniques and consistent damping ratios are obtained for the dominant surface seiche of Lake Tahoe. The effect of input parameters is discussed, using data for the two lakes, alongside discussion of the application of RDT to the study of internal seiches and current barriers to its application. RDT has great potential for the analysis of both surface and internal seiches, offering a method through which accurate damping ratios of seiche oscillations may be obtained using readily available data without necessitating spectral analysis.
机译:湖泊中的盆地SECICHES是总能源预算的重要因素,是重要生态参数的助焊剂的载体,如氧气,营养和沉积物。目前,表面seiches的阻尼比的提取,其与Seiches的能力直接相关,以通过增加水柱的混合来驱动这些通量,依赖于光谱分析,这可能受到水转换的严重影响从时域到频域的级别记录,并且对数据中存在的噪声水平敏感。现有的基于光谱的方法难以提取由于其光谱响应之间的重叠而具有类似幅度的表面Seiches。在本研究中,通过主要用于在高层结构和航空行业分析中使用的随机递减技术(RDT)进行操作模态分析的原理,以前应用于园艺或生态学领域,以前使用通过对日内瓦,瑞士和湖泊湖,美国湖泊的水位数据分析了波奇罗托普。使用该技术,使用RDT和模态分析估计测量的自相关,然后可以在该时域信号上进行以估计显性表面Seiches和相应阻尼比的时段。估计的时期显示了通过常规光谱技术获得的实验结果的良好一致性,并且为湖泊湖的主要表面Seiche获得了一致的阻尼比。讨论了输入参数的效果,使用两个湖泊的数据,以及讨论RDT对内部Seiches和当前障碍的应用的应用。 RDT对表面和内部Seiches的分析具有很大的潜力,提供了一种方法,通过该方法可以通过该方法使用易于使用的数据来获得Seiche振荡的精确阻尼比而不需要光谱分析。

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