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Identifying toxic materials in water with machine learning

Researchers at UBCO's School of Engineering have developed a new, faster method for analyzing toxic waste materials using fluorescence spectroscopy and convolutional neural networks. This method can detect key toxins such as naphthenic acids in oil sands samples, providing a low-cost alternative to current methods.

SourceUniversity of British Columbia Okanagan campus·JournalJournal of Hazardous Materials·TypeComputational simulation/modeling·DateMar 21, 2022

Falcon decoys and simulated rifle fire keep birds from oil

Researchers developed a radar-activated system that uses cannons and falcon decoys to deter birds from oil sands mining ponds, showing promise for reducing bird deaths. The system detects birds more effectively than traditional deterrents and can be used in conjunction with industry efforts to reclaim mines and reduce hazardous waste.

SourceUniversity of Alberta·JournalJournal of Applied Ecology·DateMar 2, 2006