Western University – New Machine Learning Models Improve Early Tsunami Warning

Machine Learning


History has a way of repeating itself. Unlike science, however, based on general principles and testable theories about the natural world, history uses evidence and interpretations to examine past events and human behavior. This portrayal is important when predicting earthquakes and tsunami waves on Canada's west coast, as researchers do not have the scientific data they need to at least make their communities safe.

To combat this lack of data, new western studies supported traditional statistics with new machine learning techniques using artificial intelligence and tested early warning models for Tofino, a popular surfing and tourist destination on the west coast of Vancouver Island.

Overall, the collected data indicates that we are waiting long to issue an early warning message for the tsunami. This shows better performance in terms of evacuating the most people safely and neatly than shorter response times. However, this approach is problematic as warning messages become less effective with longer wait times and can ultimately be more fatal for evacuees and emergency responders.

read more



Source link

Leave a Reply

Your email address will not be published. Required fields are marked *