Open AccessAnalysis of magnetic field anomalies before earthquakes based on ULF (Ultra Low Frequency) method using magnetic sensor data in Sumatra
Author(s) -
Ade Fika Ramadhani,
- Syafriani,
Rahmat Triyono,
Tri Ubaya
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1317/1/012044
Subject(s) - seismology , epicenter , geology , earthquake prediction , foreshock , anomaly (physics) , amplitude , magnitude (astronomy) , ultra low frequency , tectonics , earth's magnetic field , magnetic anomaly , geodesy , warning system , geophysics , magnetic field , aftershock , physics , acoustics , engineering , condensed matter physics , quantum mechanics , astronomy , aerospace engineering
Sumatra has a complex tectonic system which it causes to be prone to earthquakes. Therefore, early warning before earthquake is needed with the study of earthquake precursors using Ultra Low Frequency (ULF) method. This method applied to the recording data of the Earth’s magnetic field for 30 to 3 days before the earthquake event. This study also carried out the prediction of earthquake magnitude and epicentre based on the amplitude of the anomaly and the distance of the station to the earthquake location. To ensure that the anomalies that occur are not due to external interference, the data is observed based on the Dst Index. In this study was found that the percentage of success was 74% approaching the actual data