Uncertainties in the source and environment description: influence on noise impact assessment

Thesis supervisors: Dr. Paul Cristini, Dr. Nathalie Favretto-Cristini, Dr. Vadim Monteiller

Abstract: Study of the influence of the input data (e.g. bathymetry, sound speed profile in water, seabed properties, sea surfac) and their spatial and temporal variability on the results provided by optimal numerical propagation schemes to assess noise exposure in a marine environment. Investigation of their impact both in a qualitative and quantitative way for typical shallow- and deep-water environments by (i) mainly relying on 2D and 3D HPC simulations of the full wave propagation (to remove the deleterious effects of the assumptions underlying any approximate method), and (ii) adjoint-based sensitivity analysis (to avoid time-consuming direct sensitivity analysis).

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