Assessment on source levels of merchant ships observed in the East China Sea
Assessment on source levels of merchant ships observed in the East China Sea
复制标题
东海观测商船源水平评估
DOI：
10.1016/j.oceaneng.2018.02.035
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发表时间：
2018-05
影响因子：
5
通讯作者：
范军
中科院分区：
文献类型：
--
作者：
彭子龙;王斌;范军
在过去的几十年里，船舶噪声对海洋生态的影响一直受到全球研究者的关注。一些经验的船舶源级模型已经提出。这些模型是否可以用于模拟中国附近过境商船的水下辐射噪声（URN）还有待研究。从2015年1月到2016年11月，在东海海域每月至少测量一天，利用机会性海底声学观测仪对57艘商船的URN进行了测量。采用简正波模型结合实际的水声参数，对过航船舶的传播损耗进行了建模。分析了相应的不确定性，认为底质类型和震源深度是主要影响因素。基于PL计算，获得了57艘舰船的光谱源级（SSLs）。与经验模型的估计值相比，差异表明RANDI-3模型和Ross模型的估计误差中位数分别为0（±7.1）dB和6.8（±3.2）dB。此外，还与Ross的模型进行了比较。这些结果可能有助于建立一个更精确的模型，为进一步的研究。
During the past decades, the impact of shipping noise on marine ecology has always attracted more and more interest of the global researchers. Some empirical ship source level models have been proposed. Whether these models can be used to model the underwater radiated noise (URN) of merchant ships transiting near China remains to be examined. The URN of 57 merchant ships was measured with an opportunistic bottom-mounted acoustic observatory in the East China Sea at least one day in each month from Jan. 2015 to Nov. 2016. The propagation losses (PLs) of transiting ships were modeled using Normal Modes combining with the realistic geoacoustic parameters. The corresponding uncertainties were also analyzed, and the bottom type and the source depth were the major factors. Based on PL computations, the Spectral Source Levels (SSLs) of 57 ships were obtained. By comparing with the estimations using empirical models, the discrepancies indicated that the median estimation errors using RANDI-3 model and Ross's model were 0 ( ±7.1) dB and 6.8 ( ±3.2) dB, respectively. Furthermore, the trends with speed and length at different frequency ranges were also compared with Ross's model. These results might be helpful to develop a more precise model for the further research.
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DOI：
10.1121/1.4790356
发表时间：
2013-04
期刊：
The Journal of the Acoustical Society of America
影响因子：
--
作者：
Ethan H. Roth;V. Schmidt;J. Hildebrand;S. Wiggins
通讯作者：
Ethan H. Roth;V. Schmidt;J. Hildebrand;S. Wiggins
影响因子：
4.6
作者：
McKenna, Megan F.;Wiggins, Sean M.;Hildebrand, John A.
通讯作者：
Hildebrand, John A.
影响因子：
0.4
作者：
Wittekind, Dietrich Kurt
通讯作者：
Wittekind, Dietrich Kurt
影响因子：
2.4
作者：
Miksis-Olds, Jennifer L.;Nichols, Stephen M.
通讯作者：
Nichols, Stephen M.
影响因子：
2.4
作者：
Hermannsen, Line;Beedholm, Kristian;Madsen, Peter T.
通讯作者：
Madsen, Peter T.