The solution of sound propagation modeling problems for environment impact assessment by the mode parabolic equations method
The method of sound propagation modeling based on the mode parabolic equations (MPEs) theory is applied to the verification scenarios for environmental impact assessment. The results for selected scenarios from the 2022 Cambridge Joint Industry Programme Acoustic Modelling Workshop and the configuration of the computational programs AMPLE and MPE for these scenarios is discussed. Furthermore, it is revealed how the results for these scenarios change in the case of the bottom slope across and along the propagation path. It is observed that for the cross-slope propagation scenario, the distribution of acoustic energy over decidecade frequency bands does not depend on the slope angle and is practically the same as that for range-independent environment. At the same time, the dependence of energy distribution is noticeable for up- and downslope propagation scenarios, where greater slope angles result in higher propagation loss. It is also shown that MPEs are capable of adequately handling typical sound propagation problems related to the environmental impact assessment for frequencies up to 1000 Hz. A possibility of using frequency-dependent mesh size and number of modes must be implemented in codes based on this approach.
Authors
- Pavel S. Petrov (ORCID: https://orcid.org/0000-0002-0087-6681)
- M. A. Sorokin (ORCID: https://orcid.org/0000-0001-8933-2834)
- Andrey G. Tyshchenko (ORCID: https://orcid.org/0000-0003-3068-1946)
- Sergey B. Kozitskiy (ORCID: https://orcid.org/0000-0002-0231-8851)
Institutions
- Instituto Nacional de Matemática Pura e Aplicada (BR)
- NOAA Geophysical Fluid Dynamics Laboratory (US)
- V.I. Il'ichev Pacific Oceanological Institute (RU)
Publication Details
- Journal
- The Journal of the Acoustical Society of America
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1121/10.0034424
- Citations
- 4
- Primary Topic
- Underwater Acoustics Research
- Type
- article
- Field-Weighted Citation Impact
- 1.92
Funders
- Exxon Mobil Corporation
- Russian Science Foundation