Analyses of data from the first Chinese seismo electromagnetic satellite (CSES-01) together with other earthquake precursors associated with the Turkey earthquakes (February 6, 2023)

IF 1.2 Q4 REMOTE SENSING Journal of Applied Geodesy Pub Date : 2024-05-16 DOI:10.1515/jag-2024-0024
Mehdi Akhoondzadeh
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Abstract

On 6 February 2023, at 01:17:35 and 10:24:49 UTC (LT = UTC + 03:00) two earthquakes with magnitude 7.8 (37.166° N, 37.042° E, depth ∼ 17.9 km) and 7.5 (38.024° N, 37.203° E, depth ∼ 10 km), respectively, heavily struck southern and central Turkey and northern and western Syria. The purpose of this study is to investigate the relation between pre-earthquake anomalies observed in different layers of the earth system and explore the earthquake mechanism of LAIC (Lithospheric Atmospheric Ionospheric Coupling) associated with earthquake precursors. To achieve this goal, electron density and temperature variations obtained from CSES-01 data in the Dobrovolsky’s area the Turkey earthquakes are analyzed in the period from November 1, 2022 to February 10, 2023. Since investigating the LAIC mechanism requires multi-precursor analysis, anomalies obtained from CSES-01 data were compared with the behavior of anomalies obtained from other lithospheric, atmospheric and ionospheric precursors in the same location and time of the study area. These anomalies that were analyzed in the previous study are: (1) TEC data obtained from GPS-GIM maps, (2) electron density and temperature variations obtained from Swarm satellites (Alpha, Bravo and Charlie) measurements, (3) Atmospheric data including water vapour, methane, ozone, CO and AOD obtained from the measurements of OMI and AIRS satellites, and (4) Lithospheric data including number of earthquakes obtained from USGS and also surface temperature obtained from the measurements of AIRS satellite. It should be noted that clear anomalies are observed between 1 and 5 days before the earthquake in electron density and temperature variations measured by CSES-01 during the day and night and they are in good agreement with the variations in the Swarm satellites data and GPS-TEC. The interesting and significant finding is that lithospheric anomalies are detected in the land surface temperature data in the time interval of 19–12 days before the earthquake, and then most of the atmospheric anomalies are observed in the time period of 10–5 days prior to the earthquake and at the end striking ionospheric anomalies are revealed during 5–1 days preceding the earthquake. Therefore, the results of this study confirm the sequence of appearing of earthquake precursors from the lower layers of the lithosphere to the upper layers of the ionosphere during 1–15 days before the earthquake, and finally proving the LAIC mechanism can significantly contribute to the efficiency and lower uncertainty of earthquake early warning systems in the future.
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对中国第一颗地震电磁卫星(CSES-01)的数据以及与土耳其地震(2023 年 2 月 6 日)相关的其他地震前兆进行分析
2023 年 2 月 6 日,世界协调时 01:17:35 和 10:24:49(LT = UTC + 03:00),土耳其南部和中部以及叙利亚北部和西部分别发生 7.8 级(北纬 37.166°,东经 37.042°,震源深度 17.9 千米)和 7.5 级(北纬 38.024°,东经 37.203°,震源深度 10 千米)地震。本研究的目的是调查在地球系统不同层中观测到的震前异常现象之间的关系,并探索与地震前兆相关的岩石层大气电离层耦合(LAIC)的地震机制。为实现这一目标,分析了从 CSES-01 数据中获得的 2022 年 11 月 1 日至 2023 年 2 月 10 日期间土耳其多布罗沃尔斯基地区地震的电子密度和温度变化。由于研究 LAIC 机制需要进行多前兆分析,因此将 CSES-01 数据获得的异常与研究区域同一地点和时间的其他岩石层、大气层和电离层前兆获得的异常进行了比较。先前研究分析过的这些异常现象包括(1) 从 GPS-GIM 地图中获得的 TEC 数据,(2) 从 Swarm 卫星(Alpha、Bravo 和 Charlie)测量中获得的电子密度和温度变化,(3) 从 OMI 和 AIRS 卫星测量中获得的大气数据,包括水蒸气、甲烷、臭氧、一氧化碳和 AOD,以及 (4) 从 USGS 获得的岩石圈数据,包括地震次数,以及从 AIRS 卫星测量中获得的地表温度。值得注意的是,在地震发生前 1 至 5 天,CSES-01 在白天和夜间测量到的电子密度和温度变化出现明显异常,这与 Swarm 卫星数据和 GPS-TEC 的变化非常吻合。有趣而重要的发现是,在震前 19-12 天的时间间隔内,陆地表面温度数据中发现了岩石圈异常,然后在震前 10-5 天的时间段内观测到了大部分大气异常,最后在震前 5-1 天发现了引人注目的电离层异常。因此,本研究的结果证实了地震前兆在震前 1-15 天内从岩石圈下层到电离层上层的出现顺序,并最终证明 LAIC 机制可显著提高未来地震预警系统的效率并降低其不确定性。
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来源期刊
Journal of Applied Geodesy
Journal of Applied Geodesy REMOTE SENSING-
CiteScore
2.30
自引率
7.10%
发文量
30
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