Disaster responseDisaster Response and Mitigation in an AI World
Accurately forecasting the movement of natural disasters—wildfires, floods, hurricanes, windstorms, tornados, and earthquakes—gives first responders a jump, allowing them to take measures to reduce damage, conduct advanced resource planning, and increase infrastructure restoration time.
After the destructive California wildfires of 2019, the U.S. government put together a White House Executive forum to develop better ways of protecting the nation and key infrastructure, such as the power grid, from wildfires and other disasters. In 2020 alone, more than 10.3 million acres burned across the United States, a level three times higher than the 1990–2000 10-year average. Between fire suppression costs, direct and indirect costs, wildfires in 2020 cost the United States upwards of $170 billion. Add in floods, hurricanes, and other natural disasters, and the toll of disasters on the livelihoods of Americans is astronomical.
Andre Coleman and his team of researchers at Pacific Northwest National Laboratory (PNNL) are part of the First Five Consortium, a group of government, industry, and academia experts committed to lessening the impact of natural disasters using technology. Coleman and team are expanding PNNL’s operational Rapid Analytics for Disaster Response (RADR) image analytics and modeling suite to mitigate damage to key energy infrastructure. Using a combination of image capturing technology (satellite, airborne, and drone images), artificial intelligence (AI), and cloud computing, Coleman and the team work to not only assess damage but predict it as well.
Accurately forecasting the movement of natural disasters—wildfires, floods, hurricanes, windstorms, tornados, and earthquakes—gives first responders a jump, allowing them to take measures to reduce damage, conduct advanced resource planning, and increase infrastructure restoration time. For example, should a fire reach an electrical substation or other grid infrastructure, an entire community—homes, businesses, and schools—would experience a power outage that could take days to restore.
“This is an exciting and timely effort to apply artificial intelligence to reduce the impact of wildfires, protect energy infrastructure, and ultimately save lives,” saidPamela Isom, acting director of the U.S. Department of Energy (DOE) Artificial Intelligence and Technology Office. “The work has the potential to make a difference in what we expect will be a very challenging wildfire season. This has been a very productive collaboration among several partners, including our colleagues at the Department of Defense’s Joint Artificial Intelligence Center, Department of Homeland Security, and at PNNL.”
