Identifikasi Anomali Sinyal Geomagnetik Ultra Low Frequency Sebagai Prekursor Gempa Bumi Dengan Magnitudo Kecil Di Wilayah Kepulauan Nias

HAMIDI, Muhammad; Namigo, Elistia Liza; Ma’muri, Ma’muri

doi:10.25077/jif.10.1.53-62.2018

Cited by 2 publications

(1 citation statement)

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“…Previous studies have identified ULF signal anomalies as precursors to earthquakes with small magnitudes in the Nias Islands region, using geomagnetic data 30 days before the earthquake. It was found that there were 3 earthquakes with ULF signal anomalies, and the ULF anomaly lead time for the three earthquakes had a shorter duration than previous studies in the Sumatra region with large earthquakes 8 Observations analyzing signal anomalies were carried out using the Detrended Fluctuation Analysis method for a large earthquake of magnitude 6.1 in the Lebak region of Banten. This is a follow-up study to previous observations that found ULF signal anomalies 7 and 11 days before the earthquake occurred.…”

Section: Introductionmentioning

confidence: 99%

Identification of Electromagnetic Ultra Low Frequency (Ulf) Signal Anomalies as Precursors of a Magnitude 5 Earthquake in the Sulawesi Region

Anggraini,

Sirait,

Lubis

et al. 2024

Jurnal Fisika dan Aplikasinya

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Sulawesi is situated at the intersection of three tectonic plates the Indo-Australian, Eurasian, and Philippine plates. The Palu Koro fault is one of the primary causes of seismic activity in the Sulawesi region, making it vulnerable to earthquakes on this Island. As an initial step in disaster mitigation, the information provided is useful in determining the initial signs before the occurrence of an earthquake, it is necessary to identify Ultra Low Frequency (ULF) Signal Anomalies as earthquake precursors. The methods employed are those of power spectrum density (PSD) and single-station transfer function (SSTF). The analysis of anomalies suspected of being precursors to 5 earthquake events revealed that in the February 27, 2023 earthquake, the anomaly appeared twice with a lead time of 17 days. In the February 28, 2023 earthquake, the anomaly appeared twice. In the March 7, 2023 earthquake, the anomaly appeared 3 times with a lead time of 20 days. The March 28, 2023 earthquake had 6 anomalies with a lead time of 24 days. The April 6, 2023 earthquake had 5 anomalies with a lead time of 29 days. anomalies were detected with lead times ranging from 17 to 30 days. The anomaly source azimuth direction was also determined.

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Section: Introductionmentioning

confidence: 99%