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Source-based and full-scale anthropogenic nitrous oxide emissions from China’s 339 cities for 2010-2024

2010～2024年中国339都市のソースベース・全規模の人為起源一酸化二窒素排出量 (AI 翻訳)

Jing Guo, Chen Lv, Jianhui Ruan, Min Jia, Bofeng Cai

Figshareデータセット2026-05-25#炭素会計Origin: CN対象セクター: cross_sector
DOI: 10.6084/m9.figshare.32395356
原典: https://doi.org/10.6084/m9.figshare.32395356

🤖 gxceed AI 要約

日本語

中国339都市のN2O排出インベントリ（2010-2024年）を月別・都市別で構築。150万以上の産業施設データを統合し、既存推定より不確実性を低減。削減戦略やNDC達成に貢献。

English

This paper presents a comprehensive, source-based monthly N2O emission inventory for 339 Chinese cities from 2010-2024, integrating data from over 1.5 million industrial facilities. It reduces uncertainty compared to existing estimates and provides spatiotemporal dynamics for targeted mitigation.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

本手法は日本がScope1・Scope3排出量の高精度推計に応用可能。中国の排出パターン把握はサプライチェーン排出管理に重要。

In the global GX context

This high-resolution inventory reduces uncertainties in Chinese N2O emissions, critical for global climate modeling and Paris Agreement targets. It offers a methodological template for improving national GHG inventories.

👥 読者別の含意

🔬研究者:Provides a benchmark dataset for climate modeling and emission inventory methodologies.

🏢実務担当者:Useful for supply chain GHG accounting involving Chinese industrial or agricultural inputs.

🏛政策担当者:Informs targeted N2O mitigation strategies and NDC tracking in China.

📄 Abstract（原文）

Nitrous oxide (N<sub>2</sub>O), a potent greenhouse gas with a global warming potential 273 times greater than CO<sub>2</sub>, has risen steadily in atmospheric concentration, posing a growing threat to climate targets under the Paris Agreement. China, as the world’s largest emitter of anthropogenic N₂O, plays a pivotal role in global mitigation efforts. However, existing N<sub>2</sub>O inventories remain fragmented—limited in scope, spatial resolution, and timeliness—due to reliance on coarse, aggregated data and inconsistent accounting boundaries. Here, we present a source-based, full-scale, and monthly N<sub>2</sub>O emission inventory for China from 2010 to 2024, building on the China High Resolution Emission Database (CHRED 3.0). This inventory integrates source-level data from over 1.5 million industrial facilities, spanning major emission sources including energy use, industrial production, agriculture, and waste. Our approach ensures methodological consistency and captures monthly, city-level dynamics of N<sub>2</sub>O emissions. Compared with existing estimates, our data substantially reduces uncertainty and enables a more precise understanding of China’s spatiotemporal emission patterns. This comprehensive dataset offers critical insights for designing targeted mitigation strategies and for achieving the nationally determined contributions goals as well as global climate goals.

🔗 Provenance — このレコードを発見したソース

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