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Satellite data-driven estimates of NOx and co-emitted CO2 from coal-fired power plants in China (2021–2024)

  • Ling Chen
  • , Zhaonan Cai
  • , Yi Liu
  • , Kang Sun
  • , Dongxu Yang
  • , Xiaolan Wang
  • , Yan Wang
  • CAS - Institute of Atmospheric Physics
  • University of Chinese Academy of Sciences
  • Shanxi Institute of Meteorological Sciences

Research output: Contribution to journalLetterpeer-review

1 Scopus citations

Abstract

Coal-fired power generation dominates China’s electricity mix and accounts for over one third of fossil CO2 emissions, with substantial air pollutants. We estimate nitrogen oxides (NOx) and co-emitted CO2 emissions from more than 1000 coal-fired power plants in China during 2021–2024 using a lightweight top-down framework. The method combines TROPOMI NO2 observations, ERA5 wind fields, and variable NOx/NO2 ratios from Goddard earth observing system composition forecast within an improved directional derivative approach to derive gridded anthropogenic NOx flux. Plant-level NOx emissions are obtained by integrating weighted contributions from multiple plants within a 15 km radius at monthly temporal resolution, facility-specific CO2/NOx emission ratios are applied to infer CO2. Estimated annual NOx emissions decrease from 5.49 to 4.78 Mt during 2021–2024, while CO2 emissions decrease from 4.61 to 4.10 Gt. Corresponding uncertainties are 30.9%–31.5% for NOx and 31.3%–32.0% for CO2. A confidence assessment based on internal statistical consistency and external physical plausibility constraints classifies 85.1% of plant-level estimates as high and medium confidence, showing good agreement between observational indicators and derived emissions and supporting the robustness of the framework. The approach performs less reliably for low-capacity facilities and for regions with sparse satellite coverage or relatively high wind speeds.

Original languageEnglish
Article number144001
JournalEnvironmental Research Letters
Volume21
Issue number14
DOIs
StatePublished - Jul 2026

Keywords

  • CO
  • China
  • NO
  • TROPOMI
  • coal
  • emissions
  • power plant

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