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Ground Motion Modeling Wilayah Sumatera Selatan Berdasarkan Analisis Bahaya Gempa Probabilistik Samsul Aprillianto; Bagus Jaya Santosa; Bambang Sunardi
Jurnal Sains dan Seni ITS Vol 5, No 2 (2016)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (405.024 KB) | DOI: 10.12962/j23373520.v5i2.20163

Abstract

Ground motion modeling dapat dipergunakan untuk menentukan besarnya bahaya gempa pada batuan dasar di suatu site dan untuk menentukan sumber gempa yang memberikan dampak paling dominan pada suatu site. Dengan menggunakan prinsip Probabilistic Seismic Hazard Analysis (PSHA) dan dengan menggunakan software USGS akan didapatkan nilai peak ground acceleration (PGA) pada batuan dasar, yang kemudian dengan menggunakan Nonlinear Earthquake site Response Analyses (NERA) akan didapatkan ground motion modeling pada permukaan. Dengan melakukan metode tersebut pada suatu site di wilayah Sumatera Selatan, BH-01 dan BH-08 didapatkan hasil nilai PGA pada site BH-01 sebesar 0.248g dan pada BH-08 sebesar 0.2711g dengan masing masing memiliki maksimum kekuatan gempa sebesar 7.2 SR dan 7 SR serta sumber gempa yang memberikan dampak bahaya paling dominan adalah sumber gempa background. Dan untuk ground motion modeling pada permukaan untuk site BH-01 sebesar 0.41g dan pada site BH-08 sebesar 0.49g.
INKONSISTENSI TEC GIM DARI DATA GNSS SEBAGAI PREKURSOR GEMPABUMI DI WILAYAH MALUKU UTARA TAHUN 2019 Bambang Sunardi; Supriyanto Rohadi; Sulastri Sulastri; Rahmat Setyo Yuliatmoko
Elipsoida : Jurnal Geodesi dan Geomatika Vol 3, No 02 (2020): Volume 03 Issue 02 Year 2020
Publisher : Department of Geodesy Engineering, Faculty of Engineering, Diponegoro University,Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/elipsoida.2020.9182

Abstract

Currently, the GNSS has grown rapidly and is widely applied for commercial and research purposes, one of which is an earthquake precursor. Precursor detection of major earthquakes using TEC in the ionosphere has recently become a promising method. This paper focuses on investigating TEC inconsistencies before major earthquakes in the North Maluku region during 2019. Earthquake data refers to the U.S. Geological Survey, while the TEC data comes from GIM which comes from international GNSS. TEC anomaly was observed by applying the TEC correlation method near the epicenter of the earthquake to obtain the TEC inconsistency index. The TEC anomaly classification is decided when the inconsistency index is outside a defined threshold. The Dst index in the same time frame is used to analyze TEC inconsistencies due to geomagnetic storms. The results of research on the January 7, 2019 Mw 6.6 earthquake, the July, 7 2019 Mw 6.9 earthquake, the July 14, 2019 Mw 7.2 earthquake, and the November 14, 2019 Mw7.1 earthquake showed TEC inconsistency 29 to 1 day before the mainshock. Referring to these results, investigations of TEC inconsistencies prior to the major earthquake can be continuously developed until they reach the expected success rate
Co-Authors Irwan Setyowidodo, Bagus Jaya Santosa Rahmat Setyo Yuliatmoko Samsul Aprillianto Sulastri Sulastri Supriyanto Rohadi