Detection and interpretation of precursory magnetic signals preceding October 30, 2020 Samos earthquake

被引:5
|
作者
Ozsoz, Ilkin [1 ]
Ankaya Pamukcu, Oya [2 ]
机构
[1] Gen Directorate Mineral Res & Explorat, Ankara, Turkey
[2] Dokuz Eylul Univ, Engn Fac, Geophys Engn, Izmir, Turkey
关键词
Satellite magnetic data; precursory earthquake signals; Swarm satellite constellation; magnetic field components; Samos; 2020; earthquake; SWARM SATELLITES DATA; WESTERN; ATMOSPHERE; ANOMALIES; REGION; MODEL; STATE; TIME;
D O I
10.3906/yer-2107-9
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
A major earthquake (M-w =7.0) occurred in the Samos Island on the 30th of October 2020 at 11:51 UTC. Swarm satellite magnetic data were analysed for 153 days before and 46 days after the earthquake. Preearthquake and postearthquake anomaly search is constrained within the Dobrovolsky's Circular Area. Fundamentally, there are 5 steps for processing satellite magnetic data to interpret the earthquake preparation phase. The first step is converting geographical coordinates to geomagnetic latitude and longitude. Secondly, intensity of the external magnetic field should be evaluated by magnetic indices (Ap, Kp and vertical bar Dst). Thirdly, preearthquake and postearthquake magnetic anomaly should be constrained through magnetic indices (Ap < 20, Kp < 3 and vertical bar Dst vertical bar<10) and Dobrovolsky's Circular Area. The following step is filtering short-wavelength magnetic anomalies using first time derivative and trend removal (detrend). Finally, anomalous residual magnetic variations of the satellite tracks are classified through RMS analysis. The cumulative number of anomalous points (y-axis) is plotted versus the date (x-axis). R-2 values denote the degree of linear distribution of the anomalous tracks. For X, Y, Z, and F components of the magnetic field, R-2 is computed as 0.9038, 0.8697, 0.8490, and 0.9694, respectively. Y component of the magnetic field provided the best results in terms of interpretation. Regarding the results of the Y component, linear distribution and deviation from this distribution are fairly distinguishable.
引用
收藏
页码:748 / 757
页数:10
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