A Reference Spectrum Model for Estimating Source Levels of Marine Shipping Based on Automated Identification System Data
Underwater sound mapping is increasingly being used as a tool for monitoring and managing noise pollution from shipping in the marine environment. Sound maps typically rely on tracking data from the Automated Information System (AIS), but information available from AIS is limited and not easily rela...
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doaj-6bde129f78754e54a18ffc39b5c4037d2021-03-30T23:04:41ZengMDPI AGJournal of Marine Science and Engineering2077-13122021-03-01936936910.3390/jmse9040369A Reference Spectrum Model for Estimating Source Levels of Marine Shipping Based on Automated Identification System DataAlexander MacGillivray0Christ de Jong1JASCO Applied Sciences, Victoria, BC V8Z 7X8, CanadaNetherlands Organisation for Applied Scientific Research (TNO), 2597 AK The Hague, The NetherlandsUnderwater sound mapping is increasingly being used as a tool for monitoring and managing noise pollution from shipping in the marine environment. Sound maps typically rely on tracking data from the Automated Information System (AIS), but information available from AIS is limited and not easily related to vessel noise emissions. Thus, robust sound mapping tools not only require accurate models for estimating source levels for large numbers of marine vessels, but also an objective assessment of their uncertainties. As part of the Joint Monitoring Programme for Ambient Noise in the North Sea (JOMOPANS) project, a widely used reference spectrum model (RANDI 3.1) was validated against statistics of monopole ship source level measurements from the Vancouver Fraser Port Authority-led Enhancing Cetacean Habitat and Observation (ECHO) Program. These validation comparisons resulted in a new reference spectrum model (the JOMOPANS-ECHO source level model) that retains the power-law dependence on speed and length but incorporates class-specific reference speeds and new spectrum coefficients. The new reference spectrum model calculates the ship source level spectrum, in decidecade bands, as a function of frequency, speed, length, and AIS ship type. The statistical uncertainty (standard deviation of the deviation between model and measurement) in the predicted source level spectra of the new model is estimated to be 6 dB.https://www.mdpi.com/2077-1312/9/4/369source levelsunderwater noisemarine shippingautomated identification systemsound mapping |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Alexander MacGillivray Christ de Jong |
spellingShingle |
Alexander MacGillivray Christ de Jong A Reference Spectrum Model for Estimating Source Levels of Marine Shipping Based on Automated Identification System Data Journal of Marine Science and Engineering source levels underwater noise marine shipping automated identification system sound mapping |
author_facet |
Alexander MacGillivray Christ de Jong |
author_sort |
Alexander MacGillivray |
title |
A Reference Spectrum Model for Estimating Source Levels of Marine Shipping Based on Automated Identification System Data |
title_short |
A Reference Spectrum Model for Estimating Source Levels of Marine Shipping Based on Automated Identification System Data |
title_full |
A Reference Spectrum Model for Estimating Source Levels of Marine Shipping Based on Automated Identification System Data |
title_fullStr |
A Reference Spectrum Model for Estimating Source Levels of Marine Shipping Based on Automated Identification System Data |
title_full_unstemmed |
A Reference Spectrum Model for Estimating Source Levels of Marine Shipping Based on Automated Identification System Data |
title_sort |
reference spectrum model for estimating source levels of marine shipping based on automated identification system data |
publisher |
MDPI AG |
series |
Journal of Marine Science and Engineering |
issn |
2077-1312 |
publishDate |
2021-03-01 |
description |
Underwater sound mapping is increasingly being used as a tool for monitoring and managing noise pollution from shipping in the marine environment. Sound maps typically rely on tracking data from the Automated Information System (AIS), but information available from AIS is limited and not easily related to vessel noise emissions. Thus, robust sound mapping tools not only require accurate models for estimating source levels for large numbers of marine vessels, but also an objective assessment of their uncertainties. As part of the Joint Monitoring Programme for Ambient Noise in the North Sea (JOMOPANS) project, a widely used reference spectrum model (RANDI 3.1) was validated against statistics of monopole ship source level measurements from the Vancouver Fraser Port Authority-led Enhancing Cetacean Habitat and Observation (ECHO) Program. These validation comparisons resulted in a new reference spectrum model (the JOMOPANS-ECHO source level model) that retains the power-law dependence on speed and length but incorporates class-specific reference speeds and new spectrum coefficients. The new reference spectrum model calculates the ship source level spectrum, in decidecade bands, as a function of frequency, speed, length, and AIS ship type. The statistical uncertainty (standard deviation of the deviation between model and measurement) in the predicted source level spectra of the new model is estimated to be 6 dB. |
topic |
source levels underwater noise marine shipping automated identification system sound mapping |
url |
https://www.mdpi.com/2077-1312/9/4/369 |
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