
Susan O’Neill and her team developed the data tool as part of NASA’s 2017 California Wildfires Tiger Team, an initiative within the Health and Air Quality Applied Sciences Team (HAQAST) of NASA's Earth Applied Sciences Program. O’Neill is the lead investigator and said that typically, computer models use fire size, type of vegetation burned, and current weather conditions to estimate how, when, and where the risk of smoke was greatest.
“When I was first shown this tool my head kind of exploded. It’s amazing,” said Leland Tarnay, an ecologist with the U.S. Forest Service’s Remote Sensing Lab. Tarnay used the data during the 2020 California Creek Fire, and said that having five-minute updates on a fire’s position was a vast improvement over some earlier methods that relied on the previous day’s fire activity. As smoke from fires has dangerous effects on public health and air quality, understanding its reach can help inform local decisions.
“When the smoke impacts from the Creek Fire were at their peak, a single day’s growth was managing to produce 5,000 or more tons of (PM2.5) pollution,” Tarnay continued. “Park officials came to us and asked, ‘Will these smoke impacts continue?’ We’d almost never seen those levels – we gave them our forecast that it would likely get to hazardous levels again and stay there for days.”
Tarnay is one of the Air Resource Advisors (ARA) deployed by the Interagency Wildland Fire Air Quality Response Program. They are technical specialists available to incident management teams and agency administrators. ARAs are trained for deployment to incidents to analyze and communicate impacts like these to fire response teams, air quality regulators and the public.
https://www.civilengineering.ai/nasa-smoke-signals-for-air-quality/
Post a Comment