MARINE POLLUTION BULLETIN | 卷:131 |
An adaptive grid to improve the efficiency and accuracy of modelling underwater noise from shipping | |
Article | |
Trigg, Leah E.1 Chen, Feng1,2 Shapiro, Georgy I.1 Ingram, Simon N.1 Embling, Clare B.1 | |
[1] Plymouth Univ, Sch Biol & Marine Sci, Plymouth PL4 8AA, Devon, England | |
[2] Loughborough Univ, ITS, Res Comp Grp, Loughborough LE11 3TU, Leics, England | |
关键词: Shipping; Underwater noise; Acoustic propagation models; | |
DOI : 10.1016/j.marpolbul.2018.04.034 | |
来源: Elsevier | |
【 摘 要 】
Underwater noise pollution from shipping is a significant ecological concem. 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.
【 授权许可】
Free
【 预 览 】
Files | Size | Format | View |
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10_1016_j_marpolbul_2018_04_034.pdf | 5242KB | download |