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Underwater noise from shipping vessels poses a serious threat to both the marine environment and the marine mammals that rely on sound to survive and thrive. In response, a project developed by Clear Seas and funded by Transport Canada’s Quiet Vessel Initiative and Mitacs’ Accelerate Program brings together a research team of engineers and marine biologists at the University of British Columbia to solve this serious problem by harnessing the power of artificial intelligence.
The multi-year project is led by Dr. Rajeev Jaiman and Dr. Jasmin Jelovica from UBC’s Naval Architecture and Marine Engineering program, in collaboration with Dr. Andrew Trites and Dr. David Rosen from the UBC Marine Mammal Research unit. Lead researcher Dr. Jaiman says he named the research project “MELO” as a play on words; the project will “create a more MELOdious ocean soundscape based on an improved understanding of the sensitivity of the marine environment.”
Using an adaptive physics-based machine learning framework, this project will develop and test a noise prediction toolkit on board a Canadian Coast Guard research vessel. The toolkit will allow ships to tune and adjust their noise in real time and based on knowledge of nearby marine mammals. It will also lead to the creation of a software simulation of smart adaptive noise mitigation in action and demonstrate its application to all types of vessels.
