Analysis of acoustic noise emissions from marine vessels

船舶噪声排放分析

• 批准号: 532217-2018
• 负责人: Oshkai, Peter
• 金额: $ 1.82万
• 依托单位: University of Victoria
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=661279
• 关键词: Analysis; acoustic; noise; emissions; marine

JASCO Applied Sciences Ltd. specializes in collecting, analyzing, and assessing underwater acoustic data for**environmental impact assessments of underwater noise for the oil and gas, marine construction, fisheries, and**defence sectors. A particular project, in collaboration with Transport Canada, has been to monitor underwater**acoustic noise due to marine traffic in the Strait of Georgia, adjacent to Vancouver Island and the city of**Vancouver. Through covariate analysis of measured acoustic data, in combination with automatic identification**system (AIS) data, such as vessel class, size, and speed of passing vessels, JASCO is constructing a predictive**marine vessel noise model that may influence regulation to reduce the environmental impact of marine traffic**noise.**One significant problem is a high degree of variability in the measured acoustic levels associated with a given**set of vessel characteristics. It is believed that this variability originates from a combination of variability in**engine noise, shaft and propeller noise, and cavitation of the flow around the vessel hull and propeller(s), all of**which can vary independently of the parameters currently considered in the model. Of these potential noise**sources, cavitation is believed to be the dominant source of noise source for marine vessels and has been the**focus of many recent studies of ship noise.**Identification of parameters that govern cavitation noise is of significant benefit to JASCO. This**characterization will enable the company to determine how cavitation noise influences the recorded acoustic**spectra, so that noise emission models can be improved. This enhanced knowledge will improve the**company's ability to perform environmental impact assessments of marine traffic, which could also have a**significant impact on determining optimal vessel designs and operating regimes.

JASCO Applied Sciences Ltd.专门收集、分析和评估水下声学数据，用于石油和天然气、海洋建筑、渔业和 ** 国防部门的水下噪声环境影响评估。与加拿大交通部合作的一个特别项目是监测格鲁吉亚海峡海上交通造成的水下 ** 噪音，该海峡邻近温哥华岛和 ** 温哥华市。通过对测得的声学数据进行协变量分析，并结合自动识别系统（AIS）数据，如船只类别、大小和过往船只的速度，JASCO正在构建一个预测性 ** 船舶噪声模型，该模型可能会影响监管，以减少海上交通 ** 噪声对环境的影响。一个显著的问题是与给定的一组血管特性相关联的所测量的声级的高度可变性。据信，这种可变性源于 ** 发动机噪声、轴和螺旋桨噪声以及船舶船体和螺旋桨周围气流的气穴的可变性的组合，所有 ** 都可以独立于模型中当前考虑的参数而变化。在这些潜在的噪声源中，空化被认为是船舶噪声的主要来源，并已成为近年来许多船舶噪声研究的重点。控制空化噪声的参数的识别对JASCO具有重要意义。这种特性将使公司能够确定空化噪声如何影响所记录的声学频谱，从而改进噪声排放模型。这些知识的增加将提高 ** 公司对海上交通进行环境影响评估的能力，这也可能对确定最佳船舶设计和操作制度产生重大影响。