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Ying Cui

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Open access Aug 2026

City-Scale, Source-Resolved Methane Inventories Reveal Drivers and Mitigation Pathways Across China’s Cities

City-scale, source-resolved methane (CH4) inventories are needed in China because prefecture-level cities differ in energy systems, agricultural activities, and waste management. These differences lead to divergent dominant sources and mitigation needs. Yet city-level CH4 inventories across the energy, agriculture, and waste sectors remain scarce. This scarcity limits policy design, targeting, and evaluation. Here we develop a harmonized, annually consistent, multisector, source-resolved CH4 inventory for 339 prefecture-level cities in China during 2018–2024. We further use Logarithmic Mean Divisia Index (LMDI) driver attribution and scenario analysis to examine recent emission drivers and explore possible mitigation pathways. Over this period, national anthropogenic CH4 emissions increased by 2.61%, with regional heterogeneity shaped by differences in energy dependence, livestock management, and waste treatment. LMDI decomposition identifies economic activity as the dominant positive driver. Emission-intensity effects alternated between mitigating and reinforcing impacts, while structural effects were minor and population effects varied across space and time. Scenario simulations suggest that integrated multisector strategies could reduce national CH4 from 61.69 Mt in 2024–51.26 Mt in 2030 and 22.26 Mt in 2060, corresponding to a 63.9% reduction. These reductions are primarily driven by energy-sector measures, complemented by improvements in agriculture and waste management. This data set and attribution inform city-specific mitigation planning and source targeting, support monitoring, reporting, and verification, and provide a baseline for benchmarking progress toward national methane targets.

Li Zhang, Yifan Chen, Ke Wang et al. · 0 citations
Open access Jul 2026

Monthly methane emissions in China from 2018-2024 based on source-level data.

China is the world's largest source of methane (CH4) emissions and has signalled its intention to incorporate methane into its climate commitments. Designing effective methane-mitigation strategies requires robust estimates of up-to-date emissions, particularly when the pronounced spatial heterogeneity and temporal variability of each emission source are considered. However, there is currently an absence of source-level, up-to-date and dynamic CH4 emission estimations in China, constraining the formulation of measurable targets. In this study, we present the Chinese Methane Emissions Database (CMED), a nationwide, source-level, monthly emission inventory covering the period 2018-2024. The CMED provides a comprehensive account of anthropogenic CH₄ emissions in China. Uncertainty analysis of the CMED indicates that CH₄ emission estimates fall within an acceptable range (±3.57%), underscoring the robustness of the dataset. This comprehensive dataset enables more accurate analyses by providing integrated, source-level and temporally explicit information, offering critical support for policy evaluation under China's new round of Nationally Determined Contributions climate commitments released in 2025.

Pengcheng Wu, Ke Wang, Jing Guo et al. · 0 citations

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