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UAV-Based Wildland Fire Air Toxics Data Collection and Analysis.

Prabhash RagbirAjith KaduwelaDavid PassovoyPreet AminShuchen YeChristopher WallisChristopher AlaimoThomas M YoungZhaodan Kong
Published in: Sensors (Basel, Switzerland) (2023)
Smoke plumes emitted from wildland-urban interface (WUI) wildfires contain toxic chemical substances that are harmful to human health, mainly due to the burning of synthetic components. Accurate measurement of these air toxics is necessary for understanding their impacts on human health. However, air pollution is typically measured using ground-based sensors, manned airplanes, or satellites, which all provide low-resolution data. Unmanned Aerial Vehicles (UAVs) have the potential to provide high-resolution spatial and temporal data due to their ability to hover in specific locations and maneuver with precise trajectories in 3-D space. This study investigates the use of an octocopter UAV, equipped with a customized air quality sensor package and a volatile organic compound (VOC) air sampler, for the purposes of collecting and analyzing air toxics data from wildfire plumes. The UAV prototype developed has been successfully tested during several prescribed fires conducted by the California Department of Forestry and Fire Protection (CAL FIRE). Data from these experiments were analyzed with emphasis on the relationship between the air toxics measured and the different types of vegetation/fuel burnt. BTEX compounds were found to be more abundant for hardwood burning compared to grassland burning, as expected.
Keyphrases
  • human health
  • risk assessment
  • electronic health record
  • climate change
  • high resolution
  • big data
  • air pollution
  • data analysis
  • single molecule
  • depressive symptoms
  • lung function