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首页> 外文期刊>International Journal of Geophysics >Ambient Seismic Noise Analysis Associated with the 2010 Eruption of Merapi Volcano Using Temporal Variations of Randomness and Background Noise
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Ambient Seismic Noise Analysis Associated with the 2010 Eruption of Merapi Volcano Using Temporal Variations of Randomness and Background Noise

机译:使用随机性和背景噪声的时间变化,与Merapi火山爆发相关的环境地震噪声分析

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We present the combination of permutation entropy (PE) and power spectral density (PSD) analysis on continuous seismic data recorded by short-period seismic stations during the 2010 Merapi volcano eruption. The calculation of PE aims at characterizing the randomness level in seismic noise, while the PSD parameters use to detect the background noise level in various frequency bands. It was previously observed that a significant reduction of randomness before the volcano eruption could be indicated as one of the short-term precursors due to the lack of high frequencies (1?Hz) in the noise wave-field caused by high absorption losses as the hot magma uprises to the upper crust. The results show no significant reduction in signal randomness before the eruption series. The characteristic of events during the preeruptive period and the crisis tends to be chaotic (PE in the range 0.9 to 1). Further calculations show that the standard deviation in PE decreased in four days before the first eruption onset on 26 October. PE was stable at the highest values (very close to 1) and gradually returned to the previous fluctuation after the eruption onset. The level of background noise in the low- and high-frequency bands appeared to have the same tendency. The two main eruptions correspond to the two highest peaks of noise levels.
机译:我们介绍了在2010 Merapi火山喷发期间短时间地震站记录的连续地震数据上的置换熵(PE)和功率谱密度(PSD)分析的组合。 PE的计算旨在表征地震噪声中的随机性水平,而PSD参数用于检测各种频带中的背景噪声水平。之前观察到,由于高吸收损失引起的噪声波场中缺乏高频(> 1·Hz),可以将随机性显着降低了随机性。热岩浆上升到上层地壳。结果表明爆发系列前的信号随机性没有显着降低。在预破败期间的事件特征和危机趋于混乱(PE在0.9至1的范围内)。进一步的计算表明,PE在10月26日第一次喷发前四天的标准偏差减少。 PE在最高值(非常接近1)的位置稳定,并在喷发发作后逐渐返回到之前的波动。低频带中的背景噪声水平似乎具有相同的趋势。两个主要爆发对应于噪声水平的两个最高峰值。

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