posted on 2018-06-12, 07:57authored byLeah E. Trigg, Feng Chen, Georgy I. Shapiro, Simon N. Ingram, Clare B. Embling
Underwater noise pollution from shipping is a significant ecological concern. Acoustic propagation models are essential to predict noise levels and inform management activities to safeguard ecosystems. However, these models can be computationally expensive to execute. To increase computational efficiency, ships are spatially partitioned using grids but the cell size is often arbitrary. This work presents an adaptive grid where cell size varies with distance from the receiver to increase computational efficiency and accuracy. For a case study in the Celtic Sea, the adaptive grid represented a 2 to 5 fold increase in computational efficiency in August and December respectively, compared to a high resolution 1 km grid. A 5 km grid increased computational efficiency 5 fold again. However, over the first 25 km, the 5 km grid produced errors up to 13.8 dB compared to the 1 km grid, whereas, the adaptive grid generated errors of less than 0.5 dB.
Funding
This work was supported by a Plymouth University Research Studentship and the Plymouth Ocean Forecasting Centre (LG-33/300/01/2014).
History
School
University Academic and Administrative Support
Department
IT Services
Published in
Marine Pollution Bulletin
Volume
131
Pages
589 - 601
Citation
TRIGG, L.E. ... et al, 2018. An adaptive grid to improve the efficiency and accuracy of modelling underwater noise from shipping. Marine Pollution Bulletin, 131 Part A, pp.589-601.
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Publication date
2018
Notes
This paper was accepted for publication in the journal Marine Pollution Bulletin and the definitive published version is available at https://doi.org/10.1016/j.marpolbul.2018.04.034.