A SPATIAL CAUSAL ANALYSIS OF WILDLAND FIRE-CONTRIBUTED PM_2.5 USING NUMERICAL MODEL OUTPUT.

ABSTRACT: Wildland fire smoke contains hazardous levels of fine particulate matter (PM_2.5), a pollutant shown to adversely effect health. Estimating fire attributable PM_2.5 concentrations is key to quantifying the impact on air quality and subsequent health burden. This is a challenging problem since only total PM_2.5 is measured at monitoring stations and both fire-attributable PM_2.5 and PM_2.5 from all other sources are correlated in space and time. We propose a framework for estimating fire-contributed PM_2.5 and PM_2.5 from all other sources using a novel causal inference framework and bias-adjusted chemical model representations of PM_2.5 under counterfactual scenarios. The chemical model representation of PM

SUBMITTER: Larsen A 

PROVIDER: S-EPMC10181852 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature