As out-of-control wildfires in the West grow more frequent and more intense, fire departments in Southern California are looking to big data and artificial intelligence to enhance the way they respond to these disasters.
The marriage of computing, brawn and speed, they hope, may help save lives.
For about 18 months the Los Angeles fire department has been testing a program developed by the WiFire Lab at the San Diego Supercomputer Center that makes fast predictions about where active fires will spread next. The program, known as FireMap, pulls together real-time information about topography, flammable materials and weather conditions, among other variables, from giant government data sets and on-the-ground sensors.
When firefighters across the city are dispatched to respond to brush fires, the department’s leaders at headquarters now run the WiFire program as part of their initial protocol. Then, WiFire’s servers at the San Diego Supercomputer Center in La Jolla crunch the numbers, and the program turns out a predictive map of the fire’s expected trajectory. Those maps can then be transmitted electronically from headquarters to incident commanders on the ground.
The program can make sophisticated calculations in minutes that would take hours to run manually, said Ilkay Altintas, the chief data science officer at the San Diego Supercomputer Center.
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Good example of data being put to life-saving use.