Application of Wavelet Decomposition in Volcanic Seismic Data
Dairoh, Wiwit Suryanto
Program Studi D IV Teknik Informatika Politeknik Harapan Bersama Tegal,
Departeman Fisika, Fakultas MIPA Universitas Gadjah Mada Yogyakarta
Abstract
Volcanic data is in the form of broadband data that has a wide range of frequencies and contains a high level of noise. So that the noise decomposition process must be chosen correctly, it is intended that the volcanic seismic recording data containing event information contained there in is not decomposed. For this reason, noise decomposition has been carried out by applying the wavelet process, namely by using wavelet decomposition on the recording data at the Wanagama station during the Merapi volcano eruption in 2010. This decomposition of noise uses Daubechies db 5 level 5 detail 1 wavelet decomposition. Level 5 detail 1 is able to decompose noise well and volcanic earthquake events are obtained during the eruption. One of them is the event of deep volcanic earthquake (VT-A), shallow volcanic earthquake (VT-B) and pyroclastic flows that occurred during the Merapi eruption on October 26, 2010 and November 3, 2010.
Keywords: Mount Merapi, Broadband, Decomposition, Wavelet Daubechies
Topic: Physics