Statistical analysis of measured underwater radiated noise from merchant ships using ship operational and design parameters

© 2023 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)..

Ships unintentionally radiate underwater noise mainly due to propeller cavitation under usual operations. In 2022, the International Maritime Organization started a review of the nonmandatory guidelines for the reduction of underwater radiated noise (URN) from ships. The characteristics of URN from ships have been studied for a long time, and quantitative variations in URN levels with ship size and speed have been reported. From the viewpoint of ship design, it is more reasonable that the effect of ship speed and draft is considered as the ratio to design speed and maximum draft, respectively. Therefore, in this study, underwater sound measurements were conducted in deep water (>300 m in depth) under a sea lane, and regression analysis was applied to the source levels of the URN from many merchant ships using ship length, ship speed ratio to design speed, and draft ratio to maximum draft. In this analysis, the source level is simplified based on the characteristics of URN due to propeller cavitation. This allows one coefficient to represent the approximate shape of the spectrum of URN level. Further, variations in the URN level for each ship type are discussed based on the results and comparisons with previous studies.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:154

Enthalten in:

The Journal of the Acoustical Society of America - 154(2023), 2 vom: 01. Aug., Seite 1095-1105

Sprache:

Englisch

Beteiligte Personen:

Sakai, Masahiro [VerfasserIn]
Haga, Reo [VerfasserIn]
Tsuchiya, Toshio [VerfasserIn]
Akamatsu, Tomonari [VerfasserIn]
Umeda, Naoya [VerfasserIn]

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Journal Article

Anmerkungen:

Date Revised 22.08.2023

published: Print

Citation Status PubMed-not-MEDLINE

doi:

10.1121/10.0020668

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM36104920X