Estimating 2013-2019 NO₂ exposure with high spatiotemporal resolution in China using an ensemble model.

ABSTRACT: Air pollution has become a major issue in China, especially for traffic-related pollutants such as nitrogen dioxide (NO₂). Current studies in China at the national scale were less focused on NO₂ exposure and consequent health effects than fine particulate exposure, mainly due to a lack of high-quality exposure models for accurate NO₂ predictions over a long period. We developed an advanced modeling framework that incorporated multisource, high-quality predictor data (e.g., satellite observations [Ozone Monitoring Instrument NO₂, TROPOspheric Monitoring Instrument NO₂, and Multi-Angle Implementation of Atmospheric Correction aerosol optical depth], chemical transport model simulations, high-resolution geographical variables) and three i

SUBMITTER: Huang C 

PROVIDER: S-EPMC8616822 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature