2022 年意大利法诺 5.7 级近海地震的准备阶段:多参数多层方法

M. Orlando, A. De Santis, Mariagrazia De Caro, Loredana Perrone, Saioa A. Campuzano, G. Cianchini, A. Piscini, Serena D’Arcangelo, Massimo Calcara, Cristiano Fidani, Adriano Nardi, D. Sabbagh, M. Soldani
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引用次数: 0

摘要

2022 年 11 月 9 日,意大利亚得里亚海马尔凯大区海岸外约 30 公里处发生了 ML=5.7 级地震,本文对地震准备阶段探测到的异常现象进行了分析。这是意大利近 5 年来最大的一次地震。根据岩石圈-大气层-电离层耦合(LAIC)模型,这种地震可能会导致从地球表面到电离层的各种可观测变量出现异常。因此,采用了一种基于在每个地层收集的地面和卫星数据的多参数和多层次方法。这包括经修订的加速力矩释放法、确定大气参数(如表皮温度和出射长波辐射)和电离层信号(如电离层探测仪测量的 Es 和 F2 层参数、Swarm 卫星提供的磁场和 NOAA 卫星提供的高能电子沉淀)中的异常现象。在地震发生前几天检测到了几种异常现象,发现它们的累积发生率呈指数趋势,从地面向高层大气和电离层发展。异常现象在不同地层中的发展不能简单地归因于偶然性,而很可能与这次地震的准备阶段有关,从而支持 LAIC 方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Preparation Phase of the 2022 ML 5.7 Offshore Fano (Italy) Earthquake: A Multiparametric–Multilayer Approach
This paper presents an analysis of anomalies detected during the preparatory phase of the 9 November 2022 ML = 5.7 earthquake, occurring approximately 30 km off the coast of the Marche region in the Adriatic Sea (Italy). It was the largest earthquake in Italy in the last 5 years. According to lithosphere–atmosphere–ionosphere coupling (LAIC) models, such earthquake could induce anomalies in various observable variables, from the Earth’s surface to the ionosphere. Therefore, a multiparametric and multilayer approach based on ground and satellite data collected in each geolayer was adopted. This included the revised accelerated moment release method, the identification of anomalies in atmospheric parameters, such as Skin Temperature and Outgoing Longwave Radiation, and ionospheric signals, such as Es and F2 layer parameters from ionosonde measurements, magnetic field from Swarm satellites, and energetic electron precipitations from NOAA satellites. Several anomalies were detected in the days preceding the earthquake, revealing that their cumulative occurrence follows an exponential trend from the ground, progressing towards the upper atmosphere and the ionosphere. This progression of anomalies through different geolayers cannot simply be attributed to chance and is likely associated with the preparation phase of this earthquake, supporting the LAIC approach.
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