Evaluation of ECHO Vessel Noise Correlation Models with a Novel Dataset Collected in the Santa Barbara Channel
January 2022 — California, United States
Client: Vancouver Fraser Port Authority ECHO Program
An assessment of the predictive fit of the vessel noise functional regression model developed by JASCO and ERM on an independent database of vessel noise levels measured in the Santa Barbara Channel. The regression model was developed using the ECHO source level database, which comprises thousands of vessel transits recorded in Haro Strait, Strait of Georgia, and Boundary Pass. The models were able to predict monopole source levels well on the vessel category level.
A collaboration with Scripps Machine Listening Lab and ERM Consultants Canada Ltd.
