Ultra-high-resolution mapping of ambient fine particulate matter to estimate human exposure in Beijing.

ABSTRACT: With the decreasing regional-transported levels, the health risk assessment derived from fine particulate matter (PM_2.5) has become insufficient to reflect the contribution of local source heterogeneity to the exposure differences. Here, we combined the both ultra-high-resolution PM_2.5 concentration with population distribution to provide the personal daily PM_2.5 internal dose considering the indoor/outdoor exposure difference. A 30-m PM_2.5 assimilating method was developed fusing multiple auxiliary predictors, achieving higher accuracy (R² = 0.78-0.82) than the chemical transport model outputs without any post-simulation data-oriented enhancement (R² = 0.31-0.64). Weekly difference was identified from hourly mobile signalin

SUBMITTER: Wang Y 

PROVIDER: S-EPMC7615407 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature