March 23, 2018 4:49 pm
Landslides may have just gotten a little more predictable — and a little less deadly.
A new NASA computer model identifies landslide hazards around the world every 30 minutes, potentially allowing scientists and first responders to get a jump on these natural disasters, a new study reports.
“Landslides can cause widespread destruction and fatalities, but we really don’t have a complete sense of where and when landslides may be happening to inform disaster response and mitigation,” study lead author Dalia Kirschbaum, a landslide expert at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, said in a statement.
“This model helps pinpoint the time, location and severity of potential landslide hazards in near real-time all over the globe,” Kirschbaum added. “Nothing has been done like this before.”
Heavy, sustained rainfall is a key trigger of landslides around the globe. So Kirschbaum and co-author Thomas Stanley, a landslide expert with the Universities Space Research Association at NASA Goddard, built the new model using rainfall data gathered by the Global Precipitation Measurement satellite mission, which is run jointly by NASA and the Japan Aerospace Exploration Agency.
The model also employs a “susceptibility map” to determine if areas getting hammered by rain are particularly landslide-prone — for example, if they lie on or near steep slopes and/or tectonic-plate boundaries, or have been subject to significant deforestation.
High-risk areas are identified in “nowcasts,” which the new open-source model produces every 30 minutes.
“The model has been able to help us understand immediate potential landslide hazards in a matter of minutes,” Stanley said in the same statement. “It also can be used to retroactively look at how potential landslide activity varies on the global scale seasonally, annually or even on decadal scales in a way that hasn’t been possible before.”
The new study was published online Thursday (March 22) in the journal Earth’s Future.Science
Categorised in: Science
This post was written by All Charts News