Centre for Environment, Fisheries & Aquaculture Science (Cefas), Lowestoft, Suffolk, UK.
Centre for Environment, Fisheries & Aquaculture Science (Cefas), Lowestoft, Suffolk, UK.
Sci Total Environ. 2020 Sep 15;735:139509. doi: 10.1016/j.scitotenv.2020.139509. Epub 2020 May 19.
Underwater noise pollution from shipping is globally pervasive and has a range of adverse impacts on species which depend on sound, including marine mammals, sea turtles, fish, and many invertebrates. International bodies including United Nations agencies, the Arctic Council, and the European Union are beginning to address the issue at the policy level, but better evidence is needed to map levels of underwater noise pollution and the potential benefits of management measures such as ship-quieting regulations. Crucially, corroboration of noise maps with field measurements is presently lacking, which undermines confidence in their application to policymaking. We construct a computational model of underwater noise levels in the Northeast Atlantic using Automatic Identification System (AIS) ship-tracking data, wind speed data, and other environmental parameters, and validate this model against field measurements at 4 sites in the North Sea. Overall, model predictions of the median sound level were within ±3 dB for 93% of the field measurements for one-third octave frequency bands in the range 125 Hz-5 kHz. Areas with median noise levels exceeding 120 dB re 1 μPa and 20 dB above modelled natural background sound were predicted to occur in the Dover Strait, the Norwegian trench, near to several major ports, and around offshore infrastructure sites in the North Sea. To our knowledge, this is the first study to quantitatively validate large-scale modelled noise maps with field measurements at multiple sites. Further validation will increase confidence in deeper waters and during winter months. Our results highlight areas where anthropogenic pressure from shipping noise is greatest and will inform the management of shipping noise in the Northeast Atlantic. The good agreement between measurements and model gives confidence that models of shipping noise can be used to inform future policy and management decisions to address shipping noise pollution.
航运产生的水下噪声污染在全球范围内普遍存在,对依赖声音的物种造成了一系列不利影响,包括海洋哺乳动物、海龟、鱼类和许多无脊椎动物。包括联合国机构、北极理事会和欧盟在内的国际机构开始在政策层面上解决这个问题,但需要更好的证据来绘制水下噪声污染水平图,以及船舶降噪法规等管理措施的潜在效益。至关重要的是,目前缺乏噪声图与现场测量结果的相互印证,这削弱了人们对其在决策制定中应用的信心。我们使用自动识别系统 (AIS) 船舶跟踪数据、风速数据和其他环境参数构建了东北大西洋水下噪声水平的计算模型,并在北海的 4 个地点对该模型进行了现场测量验证。总体而言,对于 125 Hz-5 kHz 倍频程范围内的 93%的现场测量,模型对中值声级的预测值在±3 dB 以内。预计在多佛海峡、挪威海峡、靠近几个主要港口以及北海近海基础设施地点等区域,中值噪声水平超过 120 dB re 1 μPa,比模型自然背景噪声高出 20 dB。据我们所知,这是首次使用多个站点的现场测量对大规模建模噪声图进行定量验证的研究。进一步的验证将提高在深水区和冬季的置信度。我们的研究结果突出了航运噪声人为压力最大的区域,为东北大西洋的航运噪声管理提供了信息。测量值与模型之间的良好一致性使人们有信心相信,船舶噪声模型可用于为解决船舶噪声污染问题的未来政策和管理决策提供信息。