A landslide predicting software developed by scientists which can predict landslides two weeks before it happens. Read the article to know more.
Mother Nature is really beautiful and peaceful. The lush greenery, water, plants, and animals are all gifts that Mother Nature has given to us. She is really calm and peaceful and provides shelter and help to people who need it. But sometimes, things are really different.
Mother Nature is calm and peaceful most of the times, but sometimes things turn around a bit. Natural calamities such as floods, earthquakes, landslide etc are all from nature. These calamities have many times brought about really difficult times for the affected areas. Some calamities have brought about devastating effects on the people and the areas where these calamities have happened.
As a solution to that, a group of scientists in Australia has now developed a new software which might be of great help under these circumstances. This software is believed to help them predict landslides two weeks before they actually happen. This will be a real lifesaver as it will help them to save a lot of lives from being affected due to these landslides.
The researchers at the University of Melbourne, Australia, said, “Landslides – masses of rock, earth or debris moving down a slope – can affect communities and the economy, or take lives.” To take an example of, there was a landslide at a jade mine in Myanmar recently. Almost 27 people lost their lives in this landslide.
This new software will be making use of applied mathematics and big data analytics in order to predict the boundary of the place where a landslide might occur.
Robin Batterham of the Melbourne School of Engineering said, “We can now predict when a rubbish landfill might break in a developing country when a building will crack or the foundation will move when a dam could break or a mudslide occur. This software could really make a difference.”
As per Antoinette Tordesillas who is a professor at the University of Melbourne, warning signs are always present in the lead up to a collapse or failure. The trickiest part of that is identifying what those warning signs are.
She said, “These warnings can be subtle. Identifying them requires the fundamental knowledge of failure at the microstructure level – the movement of individual grains of earth. If we can identify the properties that characterize failure in the small-scale, we can shed light on how failure evolves over time, no matter the size of the area we are observing.”
The researchers have said that all these early clues include a few patterns of motion that might change as time passes and become synchronized.
Tordesillas added, “In the beginning, the movement is highly disordered. But as we get closer to the point of failure – the collapse of a sand castle, a crack in the pavement or a slip in an open pit mine – motion becomes ordered as different locations suddenly move in similar ways.” There are many mining companies in today’s world which uses the radar technologies in order to produce data every six minutes. They do it based on the movement of slopes at every high resolution – sub-millimeter precision.
Tordesillas also stated, “We take this information and turn the numbers into a network that allows us to extract the hidden patterns on motion and how they are changing in space and time. First, we need to decide which dots, that is locations on the surface of the mountain or mine, are moving. For each pair of dots, we ask whether their surface movements are similar. If so, the dots are linked. We do this for every pair of dots until we get a network.”
The locations which are stable won’t move much, whereas the unstable areas will be moving a lot. “As we get closer and closer to failure, this pattern of division in movement is quite clear in the network,” said Tordesillas. The amount of data which is available on the risk monitoring platforms for the natural calamity like a landslide is overwhelming. Batterham has stated that their new algorithm is all about converting these numbers into the assessment of risk and management actions which will, in turn, be able to save lives.
What we feel
We at CEOandTrends feel that, if this software is anywhere as good and efficient as it claims to be, this is the software which the mankind needed. Well, predicting the mood swings of Mother Nature is indeed a difficult job. But if they are able to do it at least to some extent, it will be a real boon to the mankind as it will help us in avoiding a lot of human as well as property loss.
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