Abstract
This paper describes fine-scale measurements and modeling of surficial sediment roughness at a site in the East China Sea using a conductivity probe. The spatial resolution of the measurements is designed to obtain environmental data suitable for modeling acoustic backscatter in the mid-frequency (3–4 kHz) range. The power spectrum of the bottom roughness is estimated and it is found that bottom roughness is dominated by small features caused by bottom-dwelling organisms. This is confirmed by video images of the same spot of seafloor. A model is developed to simulate the random distributions of these bottom features. The model employs a superposition of discrete features, which result in a power spectrum that is consistent with the measured power spectrum. Potentially this kind of model can provide a remote sensing means to estimate bottom biological populations through measuring sound backscatter from the bottom. [Work supported by ONR Ocean Acoustics Code.]
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