A novel ensemble-based statistical approach to estimate daily wildfire-specific PM_2.5 in California (2006-2020).

ABSTRACT: Though fine particulate matter (PM_2.5) has decreased in the United States (U.S.) in the past two decades, the increasing frequency, duration, and severity of wildfires significantly (though episodically) impairs air quality in wildfire-prone regions and beyond. Increasing PM_2.5 concentrations derived from wildfire smoke and associated impacts on public health require dedicated epidemiological studies. Main sources of PM_2.5 data are provided by government-operated monitors sparsely located across U.S., leaving several regions and potentially vulnerable populations unmonitored. Current approaches to estimate PM_2.5 concentrations in unmonitored areas often rely on big data, such as satellite-derived aerosol properties and meteorological variables, a

SUBMITTER: Aguilera R 

PROVIDER: S-EPMC10191217 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature