Predicting Spatial Variability of Sediment Properties From Hydrographic Data for Geoacoustic Inversion

Siemes, Kerstin; Snellen, Mirjam; Amiri-Simkooei, A. R.; Simons, Dick G.; Hermand, Jean-Pierre

doi:10.1109/joe.2010.2066711

Cited by 21 publications

(11 citation statements)

References 31 publications

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“…Many other measurements have been integrated to efficiently and globally characterize the underwater environment [31]- [33] of this area. The R/V Leonardo was used as source of opportunity in the passive acoustic run that Table II: The selected C bot , h and C sed for the predicted interference structures in Fig.…”

Section: Experiments Descriptionmentioning

confidence: 99%

Ocean bottom geoacoustic characterization using surface ship noise of opportunity

Ren

Hermand

2012

2012 Oceans - Yeosu

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Abstract-The broadband noise field of a ship of opportunity often exhibits environment dependent striation structure in the frequency-range plane. For the soft-layered sediment environment studied in this paper, the striation structure is critically determined by sub-bottom sound speed (Cbot), sediment thickness (H) and sediment sound speed (Csed). Numerical simulations demonstrate that striations in different frequency bands have different sensitivities to the three critical parameters. The sensitivity differences are used here to progressively estimate the Cbot, H and Csed. We first use low-frequency striation structure to estimate the Cbot, then obtain a preliminary estimation of the H and Csed with a set of low-frequency striations, and finally find the best-fit solutions from previous estimates using high frequency striation structure. We processed passive ship run data collected in Mediterranean Sea in 2007. The good agreement between our results with active inversion methods demonstrates the accuracy of the method for ocean bottom geoacoustic characterization.

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Section: Experiments Descriptionmentioning

confidence: 99%

Ocean bottom geoacoustic characterization using surface ship noise of opportunity

Ren

Hermand

2012

2012 Oceans - Yeosu

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“…Among them, shallow-water environment is required to known well especially for evaluating the acoustic propagation with respect to consideration of sonar performance characteristics (Siemes et al, 2010). Accurately generated seafloor topography for several marine and marine related activities such as marine geology, commercial fishing, offshore oil prospecting and drilling, cable and pipeline laying and maintenance, and underwater warfare, may be ensured by tools and methods, which are remotely controlled (Hellequin et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

“…Accurately generated seafloor topography for several marine and marine related activities such as marine geology, commercial fishing, offshore oil prospecting and drilling, cable and pipeline laying and maintenance, and underwater warfare, may be ensured by tools and methods, which are remotely controlled (Hellequin et al, 2003). Among these tools and methods, acoustic remotely sensing techniques represent effective and efficient solutions in terms of capacity of coverage and budget considering collecting sample data of the seafloor for seabed characterization (Siemes et al, 2010). In addition to this, for navigation and security purposes, shallow coastal areas should be assessed more carefully (Bannari and Kadhem, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Besides that, low-frequency seismic systems (e.g. 20 kHz) provide details about sediment layering (Siemes et al, 2010). To measure the thickness of the sediment layer and accurately compute the volume, the bathymetric data collected with low frequency acoustic generates the sub-bottom sea surface since there is an ability to penetrate into the seafloor.…”

Section: Introductionmentioning

confidence: 99%

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Seabed sediment volume computations using single beam echo sounder with dual frequencies based on different interpolation methods

Öcalan¹

2018

Afr J Eng Res

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This study aims to examine and compare the interpolation methods under different grid sizes used for terrain modelling in order to compute the seabed sediment volume accurately. For this purpose, the single beam data was collected from an ELAC 4300 Hydrographic echo sounder dual frequency 200 and 30 kHz. A case study was conducted at Gulf of Gemlik, located in the south of Sea of Marmara. The depth in the survey area varies between 1 and 24 m. The total survey area covers 0.5 km 2 . Besides investigating the effects of the interpolation methods preferred on this study, the grid size effect is also considered under varying regular grid intervals as 0.5, 1.0, 2.0, 4.0 and 10 m. The selection of the appropriate model is done depending on the RMSEs values of the sea floor surface. At this stage, cross-validation procedure is implemented. To compute the sediment layer thickness and volumes, three volume calculations namely, Trapezoidal Rule, Simpson's Rule and Simpson's 3/8 Rule, are used. According to the results, it can be concluded that Radial Basis Interpolation method with varying 0.5 and 4.0 m grid sizes gives lower RMSE values. According to this, the Simpson's Rule volume computation provides accurate sediment layer volume.

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“…The bottom properties in coastal areas are usually with strong variations [1], which need to be properly characterized for sonar applications. Geoacoustic inversion is demonstrated to be effective for sediment properties remote sensing over large scales.…”

Section: Introductionmentioning

confidence: 99%

Sequential vs batch processing of ship noise data in inversion for geoacoustic properties

Ren

Hermand

2015

2015 IEEE/OES Acoustics in Underwater Geosciences Symposium (RIO Acoustics)

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As part of ECOAO 13 acoustic fisheries survey off Senegalese coast, geoacoustic measurements were performed by deploying a newly-designed vector sensor array to record the noise field generated by N/O Antea survey ship. This paper describes the application of a particle filter (PF) to estimate sequentially bottom geoacoustic parameters during the ship passage. The PF estimates the parameters by constructing their posterior probability density functions (PDFs) using a set of weighted particles. The PDF embodies all available statistical information and provide a complete solution to the estimation problem, from which the optimal solution and its associated confidence can be derived. In this paper, the acoustical observables are the range-varying amplitudes of vertical impedance at multiple frequencies, as measured from different pairs of array elements and sequentially processed by the PF. The obtained PDFs demonstrate that the PF approach provides performance similar to that of global optimization, suggesting that the bottom can be well described acoustically as a half space of sand sediment. This is in good agreement with a Log-Probit interpretation of sieving data from surface grab samples taken at the same location as the acoustic data. The combination of mobile compact array and particle filtering appears to be well suited for environmental mapping of coastal areas with space-or time-varying bathymetry.

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Predicting Spatial Variability of Sediment Properties From Hydrographic Data for Geoacoustic Inversion

Abstract: Abstract-Seafloor classification using acoustic remote sensing techniques is an attractive approach due to its high coverage capabilities and limited costs compared to taking samples of the seafloor. This paper focuses on the characterization of sediments

Cited by 21 publications

References 31 publications

Ocean bottom geoacoustic characterization using surface ship noise of opportunity

Ocean bottom geoacoustic characterization using surface ship noise of opportunity

Seabed sediment volume computations using single beam echo sounder with dual frequencies based on different interpolation methods

Sequential vs batch processing of ship noise data in inversion for geoacoustic properties

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