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Apr 24, 2025·Nature Communications
13 cites
Blockchain-based isotopic big data-driven tracing of global PM sources and interventions

Yuming Huang, Xiangyu Li, Yuehan Wu, Chaoyang Xue · 14 authors

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 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.

Open access
Atmospheric chemistry and aerosols
Air Quality and Health Impacts
Atmospheric and Environmental Gas Dynamics
Original source
Sep 21, 2021·Earth
6 cites
Estimation of Carbon Monoxide, Sulfur Oxides, Nitrogen Oxides, Volatile Organic Compounds, and Particulate Matters Emission Due to Cryptocurrency Miners’ Activity in Iran

Amirreza Talaiekhozani, Majid Lotfi Ghahroud, Shahabaldin Rezania

Nowadays, electricity consumption has increased worldwide due to the activity of cryptocurrency miners. Much of Iran’s electricity is generated by fossil fuel power plants. So, generating more electricity means producing more air pollutants in Iran. There is not sufficient information about the effects of cryptocurrency mining on Iran’s air pollution. This study aims to estimate the amount of carbon monoxide (CO), sulfur oxides (SOx), nitrogen oxides (NOx), volatile organic compounds (VOCs), and particulate matter (PM) emitted by Iran’s power plants when they generate extra electricity for cryptocurrency miners. In this study, we firstly estimated the amount of fuel used for the electricity needed for cryptocurrency miners. Then, the amounts of emitted NOx, CO, VOCs, SOx, and total PM for generation of such electricity were estimated via the guidelines of the European Environment Agency for emission inventory estimation. The results showed that an on average of 3530, 1547, 103, 11, and 35 tons of NOx, CO, VOCs, SOx, and total PM, respectively, have been emitted into the atmosphere in Iran annually.

Open access
Energy and Environment Impacts
Air Quality Monitoring and Forecasting
Atmospheric chemistry and aerosols
Original source