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

中国339都市における人為起源亜酸化窒素排出量のソースベース・全規模インベントリ（2010-2024年） (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.v1
原典: https://doi.org/10.6084/m9.figshare.32395356.v1

🤖 gxceed AI 要約

日本語

本論文は、中国339都市を対象に、2010年から2024年までの月別・都市別のN₂O排出インベントリを構築。150万以上の産業施設データを統合し、既存推計より不確実性を低減。排出削減戦略やNDC達成に貢献する。

English

This paper presents a monthly, city-level N2O emission inventory for 339 Chinese cities from 2010-2024, integrating data from over 1.5 million facilities. It reduces uncertainty compared to previous estimates and provides insights for targeted mitigation strategies and climate goal achievement.

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

日本ではN₂O排出量算定は限定的だが、中国の高精度データは国際的な排出削減交渉や、日本企業のサプライチェーン排出把握（Scope 3）に活用できる可能性がある。

In the global GX context

While focused on China, this high-resolution inventory demonstrates methods for reducing uncertainty in national GHG accounting, relevant for improving national inventories under the Paris Agreement and informing global climate policy.

👥 読者別の含意

🔬研究者:A comprehensive, facility-level N2O inventory for China that reduces uncertainty; useful for emission modeling and climate science.

🏢実務担当者:May help companies with operations in China to understand local N2O emission patterns for Scope 1 reporting, but direct applicability limited.

🏛政策担当者:Provides detailed data for designing targeted N2O mitigation strategies and tracking progress toward NDCs.

📄 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.

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