Application of detrended fluctuation analysis (DFA) for short-term earthquake precursor investigation: A case study for January 23, 2018’s Java earthquake

Febriani, Febty; Dewi, Cinantya Nirmala; Anggono, Titi; Syuhada, Syuhada; Prasetio, Aditya Dwi; Hasib, Mohammad; Sulaiman, Albertus; Suprihatin, Hendra Suwarta; Ahadi, Suaidi; Syirojudin, Muhammad; Hasanudin, Hasanudin; Marsyam, Indah

doi:10.1063/5.0106294

Cited by 2 publications

(3 citation statements)

References 24 publications

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“…It indicates the presence of persistent or nonrandom correlations, which have predictive potential for the period of the data analyzed. Previous studies have shown similar α value characteristics (Febriani et al, 2022;Nenovski et al, 2013;Peng et al, 1995;Simanjuntak et al, 2013;Skordas et al, 2020). In addition, nine anomalies were found with a range of α values that qualify as outlier data, namely α ≤ 0.36 or α ≥ 0.87, as shown in Figure 3 -Figure 11.…”

Section: Anomaly Of the Seismic Signal Data Using Dfa Methodssupporting

confidence: 61%

“…To determine anomalies in scaling behavior that can be considered early signs before a major earthquake on the island of Lombok in 2018, we applied the DFA method to the seismic signal of the Rinjani station in 2018. The DFA approach can establish Data scaling behavior (Febriani et al, 2022). DFA can help avoid scaling errors and detect correlations that can lead to errors in trends and nonstationary data (Peng et al, 1995).…”

Section: Introductionmentioning

confidence: 99%

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Unraveling the Seismic Signal Anomaly at Mount Rinjani Station: In-Depth Exploration with the Detrended Fluctuation (DFA) Analysis Method in Connection with the 2018 Big Earthquake on Lombok Island, West Nusa Tenggara

Kanata,

Rosmaliati,

Zubaidah

et al. 2024

jppipa, pendidikan ipa, fisika, biologi, kimia

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We analyzed the seismic signals of the Mount Rinjani station to identify possible seismic anomalies before a series of major earthquakes on Lombok Island in 2018. We observe anomalies before earthquake events Mw >= 5.90. This research applies the detrended fluctuation analysis (DFA) method to investigate possible earthquake precursors associated with the analyzed earthquake. The results showed a relationship between scaling seismic signals (α) that exceeds the threshold of α values during the analysis period, and there is a deviation of the root mean square fluctuations in the corresponding scaling that should be rising but constant. The value of α with constant root mean square fluctuations occurs one to three days before the preliminary earthquake Mw 6.40 (28/07/2018) UTC and eight to 10 days before the main earthquake Mw 6.90 (05/08/2018). The Mw 6.90 earthquake had the most magnitude and could significantly contribute to the appearance of seismic anomalies.

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Section: Anomaly Of the Seismic Signal Data Using Dfa Methodssupporting

confidence: 61%

Section: Introductionmentioning

confidence: 99%

Unraveling the Seismic Signal Anomaly at Mount Rinjani Station: In-Depth Exploration with the Detrended Fluctuation (DFA) Analysis Method in Connection with the 2018 Big Earthquake on Lombok Island, West Nusa Tenggara

Kanata,

Rosmaliati,

Zubaidah

et al. 2024

jppipa, pendidikan ipa, fisika, biologi, kimia

View full text Add to dashboard Cite

show abstract

“…In recent years, the geomagnetic field changes related to earthquakes, named seismo-geomagnetic phenomena, have been extensively studied [14][15][16][17][18]. Geomagnetic observations can be used as an auxiliary method for monitoring earthquake hazard zones, because they can reflect subsurface structures and abnormal activity [19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Assessing Earthquake Forecasting Performance Based on Annual Mobile Geomagnetic Observations in Southwest China

Ni,

Chen,

Wang

et al. 2023

Atmosphere

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There have been reports about anomalies in mobile geomagnetic data before earthquakes; however, whether it can be used as an indicator for identifying potential earthquake areas was not be explored. In this study, we propose two parameters for earthquake forecasting based on annual mobile geomagnetic observation data. The spatial horizontal and three components’ changes are calculated in each year and then used to forecast moderate–large earthquakes (M ≥ 5.0) in southwest China in the subsequent period. It is found that earthquakes are more likely to occur in low H- or F-value regions. We statistically assess their forecasting performance by using Molchan’s error diagram, and the results indicate that there is considerable precursory information in the spatial H and F values. It is concluded that mobile geomagnetic observations might be useful in middle-term earthquake forecasts in the study area. We discuss the physical mechanisms of H and F values to explain their reasonability. The methodology proposed in this study could be helpful in finding out the optimal solution for annual mobile geomagnetic measurements for middle-term earthquake forecasting.

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Application of detrended fluctuation analysis (DFA) for short-term earthquake precursor investigation: A case study for January 23, 2018’s Java earthquake

Cited by 2 publications

References 24 publications

Unraveling the Seismic Signal Anomaly at Mount Rinjani Station: In-Depth Exploration with the Detrended Fluctuation (DFA) Analysis Method in Connection with the 2018 Big Earthquake on Lombok Island, West Nusa Tenggara

Unraveling the Seismic Signal Anomaly at Mount Rinjani Station: In-Depth Exploration with the Detrended Fluctuation (DFA) Analysis Method in Connection with the 2018 Big Earthquake on Lombok Island, West Nusa Tenggara

Assessing Earthquake Forecasting Performance Based on Annual Mobile Geomagnetic Observations in Southwest China

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