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Underwater Sound in an Urban Estuarine River: Sound Sources, Soundscape Contribution, and Temporal Variability

机译:城市河口河中的水下声音:声源,音景贡献和时间变异性

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Human waterborne activities emit noise into the marine environment. This is of particular concern with regard to the potential impact on marine fauna such as cetaceans due to their acoustic specialisations. The Swan-Canning River system in Western Australia is home to a resident community of Indo-Pacific bottlenose dolphins (Tursiops aduncus), but is also a site regularly used for various human activities. As underwater noise levels increasingly become considered as an indicator of habitat quality, there is a need to characterise the soundscapes of such areas with regard to their cetacean fauna. This study aimed to provide a description of a site within the river system known as "The Narrows". Acoustic data were collected over a six-week period with an autonomous underwater acoustic recorder. These data were analysed using a combination of weekly spectrograms, power spectral density percentile plots, 1/3 octave band levels, and generalised estimating equations to identify prominent soundscape contributors and investigate temporal patterns in their occurrence. The soundscape was found to be strongly influenced by wind, snapping shrimp, and vessel traffic, with the sounds of bridge traffic, waves, fish, machinery, dolphins, and precipitation also contributing to the acoustic environment. Furthermore, three of these sound sources (boats, waves, and fish) were found to vary at a range of temporal scales. These results take a vital step in characterising the acoustic habitat of this river system, highlighting the need to consider temporal patterns when assessing the composition of underwater soundscapes.
机译:人类的水上活动向海洋环境发出噪音。由于声学特性,这对于鲸类动物等海洋动物的潜在影响尤为令人关注。西澳大利亚州的天鹅-坎宁河系统是印度太平洋宽吻海豚(Tursiops aduncus)的常住社区,也是经常用于各种人类活动的场所。随着越来越多的水下噪声水平被认为是栖息地质量的指标,有必要针对这些区域的鲸类动物特征来描绘其声景。这项研究旨在描述河流系统中被称为“狭窄”的地点。用自主的水下声记录器在六周的时间内收集了声数据。使用每周频谱图,功率谱密度百分比图,1/3八度音阶水平和广义估计方程的组合来分析这些数据,以识别出突出的音景贡献者并调查其发生的时间模式。发现声景受风,wind虾和船只交通的强烈影响,桥梁交通,海浪,鱼类,机械,海豚和降水的声音也对声学环境产生影响。此外,发现其中的三种声源(船,浪和鱼)在一定的时间范围内变化。这些结果在表征该河流系统的声学栖息地方面迈出了至关重要的一步,突显了在评估水下声景组成时需要考虑时间模式的问题。

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