Print Email Facebook Twitter An inter-comparison of sediment classification methods based on multi-beam echo-sounder backscatter and sediment natural radioactivity data Title An inter-comparison of sediment classification methods based on multi-beam echo-sounder backscatter and sediment natural radioactivity data Author Snellen, M. Eleftherakis, S. Amiri-Simkooei, A. Koomans, R.L. Simons, D.G. Faculty Aerospace Engineering Department Control & Operations Date 2013-08-01 Abstract This contribution presents sediment classification results derived from different sources of data collected at the Dordtse Kil river, the Netherlands. The first source is a multi-beam echo-sounder (MBES). The second source is measurements taken with a gamma-ray scintillation detector, i.e., the Multi-Element Detection System for Underwater Sediment Activity (Medusa), towed over the sediments and measuring sediment natural radioactivity. Two analysis methods are employed for sediment classification based on the MBES data. The first is a Bayesian estimation method that uses the average backscatter data per beam and, therefore, is independent of the quality of the MBES calibration. The second is a model-based method that matches the measured backscatter curves to theoretical curves, predicted by a physics-based model. Medusa provides estimates for the concentrations of potassium, uranium, thorium, and cesium, known to be indicative for sediment properties, viz. mean grain size, silt content, and the presence of organic matter. In addition, a hydrophone attached to the Medusa system provides information regarding the sediment roughness. This paper presents an inter-comparison between the sediment classification results using the above-mentioned methods. It is shown that although originating from completely different sources, the MBES and Medusa provide similar information, revealing the same sediment distribution. Subject backscatterBayes methodsgeochemistrygeophysical techniqueshydrophonesnatural radioactivity hazardsriversscintillation counterssedimentssoil pollution To reference this document use: http://resolver.tudelft.nl/uuid:118445fc-6696-4fe2-abae-53272b80db43 Publisher Acoustical Society of America Embargo date 2014-02-01 ISSN 0001-4966 Source https://doi.org/10.1121/1.4812858 Source Journal of the Acoustical Society of America, 134 (2), 2013 Part of collection Institutional Repository Document type journal article Rights (c) 2013 Acoustical Society of America Files PDF Snellen_2013.pdf 4.63 MB Close viewer /islandora/object/uuid:118445fc-6696-4fe2-abae-53272b80db43/datastream/OBJ/view