Reni, Agustin (2020) Identifikasi Sesar Grindulu Menggunakan Metode Self Potential Di Desa Tambakrejo, Pacitan Dengan Flower Pollination Algorithm. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Sesar Grindulu merupakan sesar aktif yang berpotensi menimbulkan bencana gempa bumi. Sesar ini diduga memanjang dengan melewati beberapa formasi batuan yang belum terkarakterisasi secara rinci. Dengan demikian, metode Self Potential (SP) dengan proses inversi Flower Pollination Algorithm (FPA) digunakan untuk mengkarakterisasi Sesar Grindulu. Data SP yang terukur memomotong jalur Sesar Grindulu difilter menggunakan varian empirical mode decomposition (EMD) dan diinversi menggunakan FPA. FPA digunakan untuk mengestimasi ketidakpastian dan parameter model dari anomali data SP dengan menggunakan asumsi model inclined sheet. Hasilnya, Sesar Grindulu yang teridentifikasi melalui interpretasi data SP berada pada jarak 393,86±1,37−416,74±7,03 m dengan kedalaman 1,57±0,51− 21,20±6,30 m yang merupakan flower fracture dari Sesar Grindulu. Selain itu, pada jarak 784,79±22,75−804,41±13,28 m mengindikasikan Sesar Grindulu utama yang memiliki kedalaman 23,40±9,90−122,08±22,97 m. Hasil identifikasi sesar-sesar menggunakan metode FPA ini telah divalidasi dengan kondisi geologi setempat.
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The Grindulu Fault is an active fault that has the potential to cause an earthquake disaster. This fault is thought to have elongated by passing several rock formations that have not been characterized in detail. Consequently, the Self Potential (SP) method with the inversion process using flower pollination algorithm (FPA) is used to characterize the Grindulu Fault. SP measured data through the Grindulu Fault pathway filtered using an empirical mode decomposition (EMD) variant and inverted via the FPA . The FPA is used to estimate the model parameters of the SP and their uncertainty for anomalous with assumption of the inclined sheet model. The result indicates that flower fracture ofGrindulu Fault identified is around 393.86±1.37−416.74±7.03 m in distances with a depth of 1.57±0.51−21.20±6.30 m. Furthermore, around 784.79±22.75−804.41±13.28 m in distances reflects main Grindulu Fault which has a depth of 23.40±9.90−122.08±22.97 m. The FPA result is validated by local geological conditions.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Flower Pollination Algorithm (FPA), Posterior Distribusi Model, Self potential (SP), Sesar Grindulu ======================================= Flower Pollination Algorithm (FPA), Posterior Distribution Model, Self-potential (SP), Grindulu Fault |
| Subjects: | Q Science > QC Physics > QC111 Density and specific gravity |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis |
| Depositing User: | Reni Agustin |
| Date Deposited: | 28 Aug 2020 00:58 |
| Last Modified: | 20 Dec 2023 05:52 |
| URI: | http://repository.its.ac.id/id/eprint/81298 |
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