Real-time mapping of gapless 24-hour surface PM₁₀ in China.

ABSTRACT: Large-scale mapping of surface coarse particulate matter (PM₁₀) concentration remains a key focus for air quality monitoring. Satellite aerosol optical depth (AOD)-based data fusion approaches decouple the non-linear AOD-PM₁₀ relationship, enabling high-resolution PM₁₀ data acquisition, but are limited by spatial incompleteness and the absence of nighttime data. Here, a gridded visibility-based real-time surface PM₁₀ retrieval (RT-SPMR) framework for China is introduced, addressing the gap in seamless hourly PM₁₀ data within the 24-hour cycle. This framework utilizes multisource data inputs and dynamically updated machine-learning models to produce 6.25-km gridded 24-hour PM₁₀ data. Cross-validation showed that the RT-SPMR m

SUBMITTER: Zhang X 

PROVIDER: S-EPMC11925011 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature