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Investigation of earthquake thermal precursors in active tectonic regions of the world

机译：世界活跃构造地震地震热前体的研究

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Intensive physical/chemical changes take place in earthquake preparation zone prior to major earthquake events. These changes result in anomalous variations of atmospheric parameters. In this study, anomalous variations of Surface Latent Heat Flux (SLHF) and Air Temperature (AT) are investigated prior to 17 major earthquake events with magnitude = 5.3 Mw in active tectonic regions of the world for the period from 2004 to 2020 using InterQuartile Range (IQR) and Hierarchical Clustering (HC) statistical techniques. Studied earthquakes are selected from subduction, transform and intraplate locations. The results clearly show anomalous variations in the SLHF and AT atmospheric parameters few days to few weeks prior to the occurrence of the earthquake event. The Honshu earthquake event is captured 54 days prior to the event using SLHF data, whereas Bella Bella earthquake event is observed 39 days prior to the event using AT data. Best anomalies using both SLHF and AT are identified for Pasni and Norcia earthquake events, whereas lowest anomalies using both SLHF and AT are identified for Nsunga and Puerto Quellon events. The anomalous variations of SLHF and AT prior to the earthquake event show a definite precursor pattern. Strong anomalies are observed in subduction/thrust regime whereas, minimum to moderate anomalies are observed along strike slip faults. This study determined the threshold values of 59.52 W/m(2) and 2.87 K for SLHF and AT respectively. The HC revealed more than 70 % similarity among earthquakes based on depth, magnitude, SLHF and AT. Mechanism of energy exchange between lithosphere and atmosphere can be understood by analyzing significant rise in SLHF and AT. It is essential to monitor these variations continuously to properly identify earthquake related anomalies.
机译：在主要地震事件之前，在地震准备区发生密集的物理/化学变化。这些变化导致大气参数的异常变化。在本研究中，在2004年至2020年期间，在2004年至2020年，在2004年至2020年，在2004年至2020年期间，在17个主要地震事件之前，研究了表面潜热通量（SLHF）和空气温度（AT）的异常变化。范围（IQR）和分层聚类（HC）统计技术。学习地震选自俯冲，变换和腔内板。结果清楚地显示了SLHF的异常变化，在地震事件发生之前几天至大气参数。在使用SLHF数据之前，Honshu地震事件在活动前54天捕获，而贝拉贝拉地震事件在使用数据之前39天观察39天。使用SLHF和AT的最佳异常被确定为Pasni和Norcia地震事件，而使用SLHF和AT的最低异常被确定为Nsunga和Puerto Quellon Events。 SLHF和地震事件前的异常变化显示了一定的前体模式。在俯冲/推力方案中观察到强烈的异常，而沿着罢工滑倒遵守最低对中等异常的最小值。该研究确定了SLHF和at的阈值59.52W / m（2）和2.87k的阈值。 HC基于深度，幅度，SLHF和AT揭示了地震之间的相似性超过70％。岩石圈和大气之间的能量交流机制可以通过分析SLHF和AT的显着升高来理解。必须连续监测这些变化以适当地识别地震相关的异常。

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