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

Yuming Huang, Xiangyu Li, Yuehan Wu, Chaoyang Xue, Jiashuo Li, Yongfeng Lin, Wei Nie, Xian Liu, Qian Liu, Greg Michalski, Jingwei Zhang (), Zheng Zong (), Dawei Lu () and Guibin Jiang
Additional contact information
Yuming Huang: Chinese Academy of Sciences
Xiangyu Li: Chinese Academy of Sciences
Yuehan Wu: Chinese Academy of Sciences
Chaoyang Xue: Max Planck Institute for Chemistry
Jiashuo Li: Shandong University
Yongfeng Lin: Chinese Academy of Sciences
Wei Nie: Nanjing University
Xian Liu: Chinese Academy of Sciences
Qian Liu: Chinese Academy of Sciences
Greg Michalski: 550 Stadium Mall Drive
Jingwei Zhang: Yunnan University
Zheng Zong: Shandong University
Dawei Lu: Chinese Academy of Sciences
Guibin Jiang: Chinese Academy of Sciences

Nature Communications, 2025, vol. 16, issue 1, 1-10

Abstract: 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 PM2.5 and its compounds, highlighting the increasing impact of biomass burning. Furthermore, projections indicate that by 2100, PM levels may decline to 5.38 ± 0.16 μg/m³ in the Americas and 13.9 ± 1.82 μg/m³ in Asia under climate mitigation scenarios but will still exceed WHO guidelines without further controls on natural emissions. Guiding future interventions with isotopic big data is essential for addressing air pollution challenges.

Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-025-59220-4 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-59220-4

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-025-59220-4

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().