New research predicts landslide boundaries two weeks before they happen

University of Melbourne researchers have  developed a software tool  that uses applied mathematics and big data analytics to predict the boundary of where a landslide will occur, two weeks in advance. Professor Antoinette Tordesillas from the School of Mathematics and Statistics said there are always warning signs in the lead up to a collapse or 'failure', the tricky part is identifying what they are.   "These warnings can be subtle. Identifying them requires fundamental knowledge of failure at the microstructure level - the movement of individual grains of earth," Professor Tordesillas said. "Of course, we cannot possibly see the movement of individual grains in a landslide or earthquake that stretches for kilometres, but if we can identify the properties that characterise failure in the small-scale, we can shed light on how failure evolves in time, no matter the size of the area we are observing." These early clues include patterns of motion that change over time and become synchronised.   - "In the beginning, the movement is highly disordered," said Professor Tordesillas. "But as we get closer to the point of failure - the collapse of a sand castle, crack in the pavement or slip in an open pit mine - motion becomes ordered as different locations suddenly move in similar ways. "Our model decodes this data on movement and turns it into a network, allowing us to extract the hidden patterns on motion and how they are changing in space and time.