Application of geostationary satellite and high-resolution meteorology data in estimating hourly PM_2.5 levels during the Camp Fire episode in California.

ABSTRACT: Wildland fire smoke contains large amounts of PM_2.5 that can traverse tens to hundreds of kilometers, resulting in significant deterioration of air quality and excess mortality and morbidity in downwind regions. Estimating PM_2.5 levels while considering the impact of wildfire smoke has been challenging due to the lack of ground monitoring coverage near the smoke plumes. We aim to estimate total PM_2.5 concentration during the Camp Fire episode, the deadliest wildland fire in California history. Our random forest (RF) model combines calibrated low-cost sensor data (PurpleAir) with regulatory monitor measurements (Air Quality System, AQS) to bolster ground observations, Geostationary Operational Environmental Satellite-16 (GOES-16)'s high temporal resolution t

SUBMITTER: Vu BN 

PROVIDER: S-EPMC10081518 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature