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March 21, 2026ACS ES&T Air

Reconciling Bottom–Up and Top–Down Approaches to Quantify Sub-Regional Methane Emissions with Improved Inventory and Three-Year High-Resolution Satellite Measurements

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Authors

CHCheng HeEnvironment and Climate Change CanadaXLXin LuWenzhou Medical UniversitySLShun LiHunan Institute of Science and Technology

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Implication

Investigative modeling optimizes methane emissions in a developed region, indicating improved accuracy for emissions tracking.

Key Points

  • The study aims to reconcile bottom-up and top-down methods to optimize methane emissions estimates at a sub-regional level.
  • Utilized a biogeochemical model to calculate rice emissions based on satellite data.
  • Integrated bottom-up inventories with newly available observations to enhance emission estimates.
  • Applied three years of TROPOMI satellite data for precise emissions estimation.
  • Achieved a reduction in emission uncertainty by 57% in the Greater Bay Area.
  • Estimated total emissions averaged 2.70 Tg a–1 for the years 2019 to 2021.
  • Identified waste treatment as the largest anthropogenic methane source at 1.13 Tg a–1.

Cite This Study

He et al. (2026) studied this question.

synapsesocial.com/papers/69be35166e48c4981c6733b4https://doi.org/10.1021/acsestair.5c00446
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