Blockchain-based isotopic big data-driven tracing of global PM sources and interventions.

ABSTRACT: Tracing sources and assessing intervention effectiveness are crucial for controlling atmospheric particulate matter (PM) pollution. Isotopic techniques enable precise top-down tracing, but the absence of long-term, global-scale multi-compound isotopic data limits comprehensive analysis. Here, we establish a blockchain-based isotopic database, compiling 34,815 isotopic fingerprints of global PM and its emissions from 1,890 pollution events across 66 countries. This allows retrospective analysis and predictions, revealing that PM sources are distinct, dynamically changing over time, and often asynchronous with interventions. Additionally, we estimate source contributions to PM_2.5 and its compounds, highlighting the increasing impact of biomass burning. Furthermore, projections ind

SUBMITTER: Huang Y 

PROVIDER: S-EPMC12022126 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature