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Recurrence Characteristics Analysis of Near-surface Wind Speed Signal with Different Sampling Frequencies

机译:不同采样频率的近表面风速信号的复发特性分析

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The wind is the main factor to influence the propagation of gas in the atmosphere. Therefore, the wind signal obtained by anemometer will provide us valuable clues for searching gas leakage sources. In this paper, the Recurrence Plot (RP) and Recurrence Quantification Analysis (RQA) are applied to analyze the influence of recurrence characteristics of the wind speed time series under the condition of the same place, the same time period and with the sampling frequency of 1hz, 2hz, 4.2hz, 5hz, 8.3hz, 12.5hz and 16.7hz respectively. Research results show that when the sampling frequency is higher than 5hz, the trends of recurrence nature of different groups are basically unchanged. However, when the sampling frequency is set below 5hz, the original trend of recurrence nature is destroyed, because the recurrence characteristic curves obtained using different sampling frequencies appear cross or overlapping phenomena. The above results indicate that the anemometer will not be able to fully capture the detailed information in wind field when its sampling frequency is lower than 5hz. The recurrence characteristics analysis of the wind speed signals provides an important basis for the optimal selection of anemometer.
机译:风是影响气氛中气体繁殖的主要因素。因此,通过风速计获得的风力信号将为我们提供用于搜索气体泄漏来源的有价值的线索。在本文中,应用复发曲线(RP)和复发定量分析(RQA)来分析在相同位置的条件下的风速时间序列的复发特性的影响,同一时间段内和采样频率1Hz,2Hz,4.2Hz,5Hz,8.3Hz,12.5Hz和16.7Hz。研究结果表明,当采样频率高于5Hz时,不同组的复发性质的趋势基本不变。然而,当采样频率设定在5Hz以下时,复发性质的原始趋势被破坏,因为使用不同采样频率获得的复发特性曲线出现了交叉或重叠现象。上述结果表明,当其采样频率低于5Hz时,风速计将无法在风场中完全捕获详细信息。风速信号的复发特性分析为风速计的最佳选择提供了重要的基础。

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