利用帕金森矢量检测2019年长宁6.0级地震的地磁场变化

doi:10.12196/j.issn.1000-3274.2020.02.007

Abstract

Abstract: Seismo-magnetic anomalies induced from the existence of current and/or high-conductivity materials have been widely reported. The Parkinson vectors derived from geomagnetic data at 3 stations were obtained via the magnetic transfer function and discussed with respect to the location (104.9°E, 28.34°N) and the depth (19 km) of the Changning earthquake on June 17, 2019 in Sichuan province. Azimuth distribution constructed from the entire Parkinson vectors during the observation period is utilized to estimate the persistent background (i.e., underlying inhomogeneous tectonic structures) at each station. The normalized background distribution is subtracted from the normalized monitoring distributions computed using the azimuths of the Parkinson vectors within a 15-day moving window to determine the anomalous azimuths of high-conductivity materials. The analytical results show that high-conductivity materials appeared before 1~2 week and in areas about 15 km away from the epicenter reported by the China earthquake networks center.

Key words: Changning 6.0 earthquake, Seismo-magnetic anomalies, Parkinson vector, Geomagnetic induction vectors

CLC Number:

P315.7

AISA Yisimayili, CHEN Jie-hong, MAO Zhi-qiang. Using Parkinson Vector Analysis to Detect the Geomagnetic Changes in the Sichuan Changning 6.0 Earthquakesof June 17, 2019[J]. EARTHQUAKE, 2020, 40(2): 91-99.

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Using Parkinson Vector Analysis to Detect the Geomagnetic Changes in the Sichuan Changning 6.0 Earthquakesof June 17, 2019

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