Analysis of magnetic field anomalies before earthquakes based on ULF (Ultra Low Frequency) method using magnetic sensor data in Sumatra

Open

Ade Fika Ramadhani, Syafriani, Rahmat Triyono, Tri Ubaya

2019 Journal of Physics: Conference Series Vol. 1317 Issue 1 Conference paper Cited by 4

Abstract

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. © 2019 IOP Publishing Ltd.

Affiliations

Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Padang, Jl. Prof Hamka, Padang, 25131, Indonesia; Meteorology Climatology and Geophysics Agency, West Sumatera, Jl. Meteorologi, Kel Silaing Bawah, Kota Padang Panjang, 27118, Indonesia