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Cross-correlation of shipping noise: Refraction and receiver-motion effects
E K Skarsoulis1, B D Cornuelle2
1Institute of Applied and Computational Mathematics, Foundation for Research and Technology Hellas, P.O. Box 1527, 711 10 Heraklion, Crete, Greece.
Shipping noise in the ocean, often non-uniform, can reveal propagation information. This study simulates noise fields to assess how conditions affect reconstructing the time-domain Green
Area of Science:
- Ocean acoustics
- Seismic interferometry
- Wave propagation
Background:
- Diffuse noise fields theoretically contain time-domain Green's function (TDGF) information.
- Oceanic shipping noise is a dominant, non-uniform low-frequency noise source.
- Reconstruction of TDGF via cross-correlation is sensitive to source distribution and propagation.
Purpose of the Study:
- To investigate the influence of non-uniform noise source distributions and oceanic propagation conditions on TDGF reconstruction.
- To evaluate the impact of receiver motion on the cross-correlation procedure for obtaining TDGF from shipping noise.
Main Methods:
- Implementation of a wave-theoretic scheme to simulate noise fields.
- Modeling of cross-correlation functions for arbitrary noise source distributions in refractive environments.
- Analysis of simulated data to assess TDGF retrieval efficiency.
Main Results:
- The spatial distribution of noise sources significantly impacts TDGF reconstruction accuracy.
- Oceanic propagation conditions (e.g., refractive environments) affect the fidelity of the retrieved TDGF.
- Receiver motion can influence the efficiency and reliability of the cross-correlation method.
Conclusions:
- Reliable TDGF reconstruction from oceanic shipping noise requires careful consideration of source distribution and propagation effects.
- The developed wave-theoretic scheme provides a tool for studying noise field dynamics and seismic interferometry in complex environments.
- Further research is needed to optimize cross-correlation techniques for real-world oceanic noise conditions.
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