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A time-frequency analysis of the thermal radiation background anomalies caused by large earthquakes: A case study of the Wenchuan 8.0 earthquake

机译:大地震引起的热辐射背景异常的时频分析 - 以汶川8.0地震为例

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摘要

Strong earthquakes have an impact on the regional thermal radiation background, which has been both observed and confirmed. This effect produces anomalies in the thermal radiation background (TRBA) and increases the difficulty of extracting a thermal radiation anomaly (TRA) that is associated with an earthquake occurring during the same time period. The extraction and identification of such anomalies has been ignored by previous studies. In this study, we investigate the time-frequency analysis (TFA) method, together with the wavelet filtering of the Daubechies method and the relative power spectrum analysis of the Fourier Welch method to extract and analyse the TRBA caused by the 2008 Wenchuan Ms 8.0 earthquake and the TRA of the 2013 Minxian-Zhangxian Ms 6.6 earthquake using data concerning the brightness temperature of a black body (TBB) from the Fengyun-2 series of geostationary meteorological satellites developed by China. The result showed that this method can effectively extract and analyse the TRBA caused by the Wenchuan earthquake and the TRA of the Minxian-Zhangxian earthquake form a complex background environment. Furthermore, we discussed the impact of the earthquake on the TRBA and segmented the process. The impact is mainly reflected by three aspects; the characteristic period of the TRBA changes, the TRBA occurs at the same time every year, which is identical to the time at which the earthquake anomaly occurred, and the impact process is in stages. We also summarized the correlation between the characteristic parameters of a TRA and the regional thermal radiation background, geography, and climatic factors.
机译:强烈地震对区域热辐射背景产生影响,这两者都观察并确认。该效果在热辐射背景(TRBA)中产生异常,并增加提取与在同一时间段内发生的地震相关的热辐射异常(TRA)的难度。以前的研究忽略了这种异常的提取和鉴定。在这项研究中,我们研究了时频分析(TFA)方法,以及Daubechies方法的小波滤波和傅立叶韦尔奇方法的相对功率频谱分析,提取和分析2008年汶川MS 8.0地震引起的TRBA以及2013年闽仙张贤MS 6.6地震的TRA,使用来自中国开发的丰云-2系列地球静态气象卫星的黑体(TBB)的亮度温度的数据。结果表明,该方法可以有效提取和分析由汶川地震和岷县 - 张县地震的TRA引起的TRBA形成复杂的背景环境。此外,我们讨论了地震对TRBA的影响并分割了该过程。影响主要由三个方面反映; TRBA的特征周期变化,TRBA每年同时发生,这与发生地震异常发生的时间相同,并且冲击过程处于阶段。我们还总结了TRA的特征参数与区域热辐射背景,地理和气候因子之间的相关性。

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