Researchers improve ability to predict wildfire smoke impacts


An outside image of woods, mountains and lakes.
Credit: Erin Suenaga, UNR
Castle Lake in Siskiyou County covered in wildfire smoke.

A team of U.S. National Science Foundation-supported researchers discovered that incorporating a better representation of carbon-based chemicals  found in smoke into  advanced  models  enables  more  accurate  predictions of  air pollutants  to help improve air quality.  

The new study  identified  a set of  volatile organic compounds  (VOCs)  in chemical transport models  that  improve the prediction of  hydroxyl radicals,  ozone  and reactive nitrates,  all of which can  affect air  pollution.    

The  work  advances  the understanding that  these  models, traditionally used to study urban or remote environments, can now better predict  wildfire-driven  air pollution.   

Wildfires have consumed  more  land over the past 30 years, releasing  increasing amounts of  smoke into the atmosphere. In  2022, almost 69,000 wildfires burned 7.6  million  acres  across  the U.S.  The influx of smoke carries respiratory and other health risks to humans  and  impacts  natural environments.   

Flying into the fire

The team studied information collected during an NSF-supported field campaign called the  Western Wildfire Experiment for Cloud Chemistry, Aerosol Absorption and Nitrogen (WE-CAN). During the campaign, researchers flew over  more than 20  wildfires  during the summer of 2018.   

In addition to WE-CAN, the team also studied data collected by the Fire Influence on Regional to Global Environments and Air Quality, also known as FIREX-AQ,  field campaign, jointly supported by  the  National  Oceanic and Atmospheric Administration  and NASA.  The wildfires burned western U.S. forests that included ponderosa pine, Douglas fir, lodgepole pine and other species.    

Discovering  how fire evolves

Researchers analyzed data collected within the first five hours of plume formation.  Ozone is produced  rapidly  in the first few hours of smoke  growth, affecting reactive nitrogen levels and further influencing how ozone forms downwind.   

The team designed an analysis to  identify  how ozone and  VOCs, among other chemicals,  form and  evolve in  wildfire  smoke plumes.  It  then  tested  what's  currently known  in air  quality models, finding  that the chemical age  better  explains  what's  happening than the physical age.  

Chemical ages  largely  depend  on chemical reactions driven  primarily  by hydroxyl radicals (OH),  while physical ages  progress  over  time.  Freshly emitted smoke can sustain unusually high OH levels, which accelerate VOC oxidation and effectively  "age"  the plume faster than expected based on physical  age. As a result, two plumes of the same physical age can be at  very different  stages of chemical transformation.   

With  a clearer understanding of how wildfire smoke chemically evolves as it interacts with the atmosphere,  the team is now working to scale  these findings from individual plumes  to regional or global  levels.

Read more about this research.