ANALISIS DAN KLASIFIKASI SEDIMEN PERMUKAAN DASAR LAUT MENGGUNAKAN SUB-BOTTOM PROFILER

Saifur Rohman; Henry M Manik; Totok Hestirianoto; Imam Mudita

doi:10.24319/jtpk.6.31-39

Saifur Rohman Program Studi Teknologi Kelautan, Sekolah Pascasarjana, Fakulltas Perikanan dan Ilmu Kelautan, Institut Pertanian Bogor
Henry M Manik Departemen Ilmu dan Teknologi Kelautan, Fakultas Perikanan dan Ilmu Kelautan, Institut Pertanian Bogor
Totok Hestirianoto Departemen Ilmu dan Teknologi Kelautan, Fakultas Perikanan dan Ilmu Kelautan, Institut Pertanian Bogor
Imam Mudita

DOI: https://doi.org/10.24319/jtpk.6.31-39

Keywords: reflection coefficient, signal processing, sub-bottom profiler, two dimensional

Abstract

The increased human activity in the marine sector, such as dredging operations, oil and gas exploration, mineral sands mining and various marine research has led to an imperative demand for accurate seafloor maps. Sub-bottom profilers (SBP) are acoustic systems traditionally used to image sediment layers and rocks beneath the seabed, providing information about sediment thicknesses and stratigraphy. Therefore, the objectives of this research were to determine the profile of the seafloor sediment layer (near-surface sediment) and obtain the value of the reflection coefficient of the layer. The process of data acquisition was conducted using SBP type of a single channel sparker by BPPT that was the survey of oil and gas pipeline maintenance and electrical cable Pertamina in 2010, which was on the east coast Balongan, Indramayu. Whereas for seafloor sediment sampling was used gravity corer. The results of the processing of the raw data with Matlab nearby B19 have been obtained 2D profile of seabed sediments and reflector, which was clearly visible and had a reflection coefficient value range 0 to 0.2955. In addition, an analytical technique for parameter estimation of sediment from laboratory data was performed as a comparison. The result of sediment in the form of silt with reflection coefficient value was 0.2807.