A comprehensive multiparametric and multilayer approach to study the preparation phase of large earthquakes from ground to space: The case study of the June 15 2019, M7.2 Kermadec Islands (New Zealand) earthquake

Santis, Angelo De; Perrone, Loredana; Calcara, M.; Campuzano, Saioa A.; Cianchini, Gianfranco; D’Arcangelo, Serena; Mauro, D. Di; Marchetti, Dedalo; Nardi, Adriano; Orlando, Martina; Piscini, Alessandro; Sabbagh, Dario; Soldani, Maurizio

doi:10.1016/j.rse.2022.113325

Cited by 23 publications

(15 citation statements)

References 52 publications

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“…Observations of temperature and vector wind in the thermosphere indicates that seismic thermal anomalies cause turbulence enhancement at the heights of mesopause. This effect may further lead to changes in various ionospheric characteristics [17,18]. In this way, the formation mechanism of seismic-related ionospheric disturbances observed by satellite in recent years can be investigated.…”

Section: Discussionmentioning

confidence: 99%

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Analysis of thermospheric characteristic anomalies from 2021 Mw 7.5 Peru earthquake

Xu,

Chen,

Wang

2024

Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023)

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Section: Discussionmentioning

confidence: 99%

“…In the past studies on the relationship between the characteristics of the upper atmosphere and earthquakes, this constraint parameter () is commonly set to 1.5 [16,17], thus we adopt this established value as well.…”

Section: Anomaly Detection In the Thermospherementioning

confidence: 99%

Analysis of thermospheric characteristic anomalies from 2021 Mw 7.5 Peru earthquake

Xu,

Chen,

Wang

2024

Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023)

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“…In this paper, we applied several methods to investigate the lithosphere, atmosphere and ionosphere, following the approach we had successfully used before several earthquakes and some volcano eruptions. These cases include among all, the Mw = 6.7 Lushan (China) 2013 [69], Mw = 7.8 Ecuador 2016 [70], Mw = 6.0 and Mw = 6.5 Amatrice-Norcia 2016 [71], Mw = 7.5 Indonesia 2018 [72], Mw = 7.2 Kermadec Islands (New Zealand) 2019 [73] and Mw = 7.8 and Mw 7.5 Turkey 2023 [58] earthquakes. In all of these mentioned cases, a possible lithosphere-atmosphere and ionosphere coupling (LAIC) has been identified in the form of a chain of anomalies and, in some cases (as Lushan 2013), even more possible couplings with different physical mechanisms have been proposed by Zhang et al [69].…”

Section: Methodsmentioning

confidence: 99%

Observation of the Preparation Phase Associated with Mw = 7.2 Haiti Earthquake on 14 August 2021 from a Geophysical Data Point of View

Marchetti

2024

Geosciences

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On 14 August 2021, an earthquake of moment magnitude Mw = 7.2 hit Haiti Island. Unfortunately, it caused several victims and economic damage to the island. While predicting earthquakes is still challenging and has not yet been achieved, studying the preparation phase of such catastrophic events may improve our knowledge and pose the basis for future predictions of earthquakes. In this paper, the six months that preceded the Haiti earthquake are analysed, investigating the lithosphere (by seismic catalogue), atmosphere (by climatological archive) and ionosphere by China Seismo-Electromagnetic Satellite (CSES-01) and Swarm satellites, as well as Total Electron Content (TEC) data. Several anomalies have been extracted from the analysed parameters using different techniques. A comparison, especially between the different layers, could increase or decrease the probability that a specific group of anomalies may be (or not) related to the preparation phase of the Haiti 2021 earthquake. In particular, two possible coupling processes have been revealed as part of the earthquake preparation phase. The first one was only between the lithosphere and the atmosphere about 130 days before the mainshock. The second one was about two months before the seismic event. It is exciting to underline that all the geo-layers show anomalies at that time: seismic accumulation of stress showed an increase of its slope, several atmospheric quantities underline abnormal atmospheric conditions, and CSES-01 Ne depicted two consecutive days of ionospheric electron density. This suggested a possible coupling of lithosphere–atmosphere and ionosphere as a sign of the increased stress, i.e., the impending earthquake.

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“…Swarm mission is composed by three identical satellites in low Earth quasipolar orbits, called Alpha, Bravo and Charlie aiming to measure the geomagnetic field with the best precision available at the state of art [19]. The use of Swarm data to study the preparation of the earthquakes has been explored by several researches in the last years using a single case study approach [18,[20][21][22][23][24][25][26][27][28][29][30][31] or even statistically correlating the magnetic and electron density anomalies of Swarm with M5.5+ earthquakes occurred in the first 4.7 years of Swarm mission by De Santis et al [32], the first 8 years by Marchetti et al [33] or using Machine Learning by Xiong et al [34].…”

Section: Ionospheric Data Processingmentioning

confidence: 99%

Quick Report of the ML=3.3 on 1 January 2023 Guidonia (Rome, Italy) Earthquake: Evidence of a Seismic Acceleration

Marchetti¹,

Zhu²,

Marchetti³

et al. 2023

Preprint

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This communication investigates possible anomalies in the lithosphere atmosphere and ionosphere on the occasion of the ML=3.3 earthquake that occurred on 1st January 2023 close to Guidonia Montecelio (Rome, Italy). This earthquake followed another event on 23 December 2022 of magnitude ML=3.1 with a very close epicentre (distance less than 1km). Seismological investigations clearly show an acceleration of seismicity in the last six months in the area. Two solutions of fitting time to failure power law on the Cumulative Benioff strain curve are the more likelihood: the ML3.3 of 1 January is the mainshock of seismic sequence or incoming earthquakes of a magnitude of about 4.1 provides a slightly better fit of the seismic data. Further investigation are necessary to assess if the accumulated stress have been totally released or not. No atmospheric anomalies related to this seismic activity have been identified even if some SO2 emissions could come from tectonic or volcanic sources in the South-Tyrrhenian Sea. Swarm satellites' magnetic data shows an anomalous track on 16 December 2022, which is temporally compatible with the seismic acceleration but other sources for the anomalous signal are also possible.

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A comprehensive multiparametric and multilayer approach to study the preparation phase of large earthquakes from ground to space: The case study of the June 15 2019, M7.2 Kermadec Islands (New Zealand) earthquake

Cited by 23 publications

References 52 publications

Analysis of thermospheric characteristic anomalies from 2021 Mw 7.5 Peru earthquake

Analysis of thermospheric characteristic anomalies from 2021 Mw 7.5 Peru earthquake

Observation of the Preparation Phase Associated with Mw = 7.2 Haiti Earthquake on 14 August 2021 from a Geophysical Data Point of View

Quick Report of the ML=3.3 on 1 January 2023 Guidonia (Rome, Italy) Earthquake: Evidence of a Seismic Acceleration

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