Sri Widiyantoro
Global Geophysics Research Division, Faculty Of Mining And Petroleum Engineering, Institut Teknologi Bandung, Jl. Ganesha 10, Bandung, Jawa Barat 40132, Indonesia

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Journal : Jurnal Geofisika

Implementation of Filter Picker Algorithm For Aftershock Identification of Lombok Earthquake 2018 A. Ardianto; Y.M. Husni; A. D. Nugraha; M. Muzli; Z. Zulfakriza; H. Afif; David P. Sahara; Sri Widiyantoro; Awali Priyono; Nanang T. Puspito; Pepen Supendi; A. Riyanto; Shengji Wei; B. S. Prabowo
Jurnal Geofisika Vol 17 No 1 (2019): Jurnal Geofisika
Publisher : Himpunan Ahli Geofisika Indonesia (HAGI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (8338.28 KB) | DOI: 10.36435/jgf.v17i1.397

Abstract

The ability to identify earthquake events that are consistent, efficient and accurate is increasingly needed along with the increase in the amount of data analyzed. In this paper a filter picker algorithm is implemented to identify aftershock events and determination of arrival time automatically, especially for the P wave phase. Here modifications are made in determining the uncertainty of arrival time and there are additional criteria in determining the time of arrival used. The additional criteria are that in a certain time span, there are at least 5 stations determined by the time the filter picker arrives. This is done to minimize identification errors due to local noise and other practical reasons, namely the minimum number of stations to determine the location and other seismological analysis. To test the filter picker algorithm, aftershock data from the Lombok earthquake occurred on July 29 (M 6.4), August 5 (M 7), and August 19 (M 6.3 and M 6.9) 2018. The aftershock data were used for 30 days, from August 4, 2018 to September 4, 2018 using local seismic station in Lombok Island. The results of the filter picker algorithm were evaluated by comparing the number of earthquake events detected and the accuracy of determining the P wave arrival time automatically to the results of manually arriving time. In addition, a comparison of the results obtained from a broadband type seismometer with a short period is used to find out how much influence the type of tool has on its performance results. The results of the comparison with the manual arrival time show that more than 85 percent of the results of the automatic arrival time have a difference below 0.2 seconds. Therefore, it can be said that the filter picker algorithm is quite effective for identifying events and determining the arrival time of P waves. In this paper it is also shown that this algorithm can be used for broad band and short period seismometer sensor, even without the prior correction of instruments.
An attempt to Model Final Reservoir at Mt. Merapi Using Receiver Function Auly, Muhammad Fariq Riesky; Zaky, Dicky Ahmad; Saputra, Ryandika; Suhardja, Sandy Kurniawan; Widiyantoro, Sri; Ramdhan, Mohammad 
Jurnal Geofisika Vol 21 No 1 (2023): Jurnal Geofisika
Publisher : Himpunan Ahli Geofisika Indonesia (HAGI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36435/jgf.v21i1.537

Abstract

Studi di daerah Gn. Merapi sudah banyak dilakukan sebelumnya untuk mengetahui kondisi di bawah permukaan pada area tersebut, khususnya untuk mengetahui mekanisme vulkanik dari Gn. Merapi itu sendiri. Hal yang sering menjadi topik pembahasan pada studi di Gn. Merapi adalah kondisi dari reservoir magma yang ada di bawah permukaan. Untuk memperkirakan hal tersebut dilakukan teknik receiver function dengan membuat model kecepatan sintetik yang kemudian diolah menjadi kurva synthetic receiver function. Hasil synthetic receiver function kemudian dikorelasikan dengan hasil receiver function observasi hingga didapatkan korelasi yang paling baik. Sebelum dilakukan pembuatan synthetic receiver function untuk mencitrakan kondisi bawah permukaan Gn. Merapi, perlu dilakukan terlebih dahulu analisis awal terhadap respon hasil receiver function dari model sederhana yang dibuat dengan memberikan sumber-sumber sinyal utama pada kurva receiver function yang dihasilkan agar mempermudah pembuatan model kecepatan sintetik. Sumber-sumber respon sinyal utama yang mempengaruhi bacaan receiver function di antaranya adalah kontras nilai kecepatan gelombang seismik terutama Vs, adanya lapisan sedimen yang memiliki ketebalan tipis, adanya zona berkecepatan rendah (low velocity zone) yang diinterpretasikan sebagai reservoir magma, dan kedalaman dari batas kerak dan mantel atas yaitu moho discontinuity. Berdasarkan hasil synthetic receiver function di stasiun ME25, ME32 dan ME36, didapatkan kedalaman dari moho berkisar antara 26-29 km dan semakin dangkal ke arah Gn. Merapi, yaitu arah selatan dari daerah studi. Kedalaman dari low velocity zone juga bervariasi yaitu berkisar antara 5-15 km dan juga semakin dangkal ke arah selatan.