Maulana, M. Rizal Aris (2020) Identifikasi Sesar Pasuruan Menggunakan Metode Very Low Frequency Electromagnetic. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Sesar Pasuruan merupakan salah satu sesar aktif di Jawa Timur. Penelitian ini bertujuan untuk mengidentifikasi, mengkarakterisasi, dan mengetahui arah dari Sesar Pasuruan menggunakan metode Very Low Frequency Electromagnetic (VLF-EM). Akuisisi data dilakukan menggunakan 4 lintasan yang terbentang sejauh 1 km dengan jarak antar titik sepanjang 10 meter untuk 2 lintasan dan 5 meter untuk 2 lintasan lainnya. Hasil akusisi data VLF-EM berupa in-phase, quadrature, total field, dan tilt angle. Data-data tersebut masih terpengaruh oleh adanya noise, sehingga metode noise assisted-multivariate empirical mode decomposition (NA-MEMD) diaplikasikan untuk mereduksi noise. Selanjutnya, data terfilter NA-MEMD dianalisa secara kualitaitif menggunakan filter Fraser dan K-Hjelt untuk mengetahui zona resistif dan konduktif. Selain itu, analisa kuantitatif untuk mengetahui resistivitas 2D berdasarkan data in-phase dan quadrature. Analisa secara kualitatif dan kuantitatif pada keempat lintasan menunjukkan letak anomali konduktif yang diduga sebagai Sesar Pasuruan. Selanjutnya, Sesar Pasuruan ini melewati Formasi Rabano yang didominasi oleh tufa dan batu pasir yang teridentifikasi oleh nilai resistivitas 0–75 Ωm pada kedalaman berkisar 5–35 meter yang membentang dari arah barat laut hingga tenggara. Posisi jalur sesar dan kedalaman sesar ini sesuai dengan penelitian sebelumnya.
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Pasuruan Fault is an active fault in East Java. The aim of this research is to identify, characterize, and determine the direction of the Pasuruan Fault using very low frequency electromagnetic (VLF-EM) method. Data acquisition is carried out using 4 lines that extend 1 km with a distance between points along 10 meters for 2 lines and 5 meters for 2 other lines. The results of data acquisition VLF-EM are in-phase, quadrature, total field, and tilt angle. The data are still affected by noise, consequently noise assisted-multivariate empirical mode decomposition (NA-MEMD) method is applied to reduce noise. Furthermore, NA-MEMD filtered data were analyzed qualitatively using Fraser and K-Hjelt filters to determine the resistive and conductive zones. In addition, quantitative analysis to determine 2D resistivity based on in-phase and quadrature data. Qualitative and quantitative analyse of the four lines show the conductive anomaly interpreted as to be the Pasuruan Fault. Furthermore, Pasuruan Fault passes through the Rabano Formation which is dominated by tuffs and sandstone which are identified by resistivity values of 0–75 Ωm at depths ranging from 5–35 meters stretching from northwest to southeast. The position track and depth of Pasuruan Fault are appropriate with previous research.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Fraser, Inversi, K-Hjelt, NA-MEMD, Sesar Pasuruan, VLF-EM ================================================================================================================== Fraser, Inversion, K-Hjelt, NA-MEMD, Pasuruan Fault, VLF-EM |
| Subjects: | Q Science > QC Physics |
| Divisions: | Faculty of Natural Science > Physics > 45201-(S1) Undergraduate Thesis |
| Depositing User: | M. Rizal Aris Maulana |
| Date Deposited: | 27 Aug 2020 09:10 |
| Last Modified: | 29 Nov 2023 08:30 |
| URI: | http://repository.its.ac.id/id/eprint/81073 |
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