Unraveling urban greenhouse gas variability in Hefei: Integrating anthropogenic, biogenic, and transport controls on carbon dioxide and methane
合肥における都市温室効果ガスの変動の解明：二酸化炭素とメタンに対する人為起源、生物起源、輸送制御の統合 (AI 翻訳)
Dandan Liu, Xiangyuan Liu, Ke Tang, Ping Yu
🤖 gxceed AI 要約
日本語
本研究は合肥市の大気中CO2とCH4の長期変動を衛星・地上観測とモデリングで解析。XCO2成長率は世界平均超（2.41 ppm/年）、秋季に最大。春夏秋冬とも人為燃焼の影響が卓越するが、夏季は生物活動と海洋気団により相関が低下。産業・建設・発電部門が排出増分の75%超を占める。
English
This study analyzes long-term XCO2 and XCH4 variability in Hefei using satellite, ground, and modeling data. XCO2 growth rate (2.41 ppm/yr) exceeds global average, with a seasonal peak in autumn. Strong anthropogenic combustion influence in spring, autumn, winter, but weakened in summer due to biogenic and marine air mass effects. Industrial, construction, and power sectors contribute over 75% of emission increments.
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
本論文は中国合肥市を対象としており、日本のGX文脈に直接関連しないが、都市部のGHG観測と排出源特定の手法は日本の都市政策にも応用可能である。
In the global GX context
This study provides empirical evidence of urban GHG variability in a rapidly industrializing Chinese city, highlighting the dominance of industrial and power sectors. It supports global efforts in emission monitoring and source attribution for climate mitigation.
👥 読者別の含意
🔬研究者:This paper offers a comprehensive framework integrating satellite and ground-based data with trajectory and inventory analyses, useful for urban GHG attribution studies.
🏢実務担当者:Could inform local environmental agencies on monitoring and identifying key emission sectors for targeted reduction strategies.
🏛政策担当者:Provides evidence for targeting industrial and power sector emissions in urban climate action plans.
📄 Abstract（原文）
Rapidly industrializing urban regions are critical hotspots for global greenhouse gas (GHG) emissions, yet their specific spatiotemporal dynamics and driving mechanisms remain complex. This study aims to elucidate the long-term variability, co-emission characteristics, and source–sink attributions of atmospheric column-averaged dry-air mole fraction of carbon dioxide (XCO2) and methane (XCH4) in Hefei. To achieve this, a comprehensive source–sink–transport framework was employed, integrating long-term satellite retrievals (2009–2020), high-resolution ground-based measurements, atmospheric backward trajectory modeling, and anthropogenic emission inventories. Satellite observations reveal that the XCO2 growth rate in Hefei (2.41 ± 0.07 ppm/year) exceeded the global average, exhibiting a distinct seasonal maximum in autumn (2.7 ± 0.2 ppm/year). Meanwhile, XCH4 showed substantial interannual variability that was highly sensitive to regional emission anomalies. Ground-based measurements captured a robust synoptic-scale diurnal co-variation in spring (R2 = 0.965; ΔXCH4/ΔXCO2 ≈ 0.007), indicating dominant fossil fuel co-emissions. Seasonally, strong XCO2–XCH4 correlations in spring, autumn, and winter (R2 > 0.86) confirmed the persistent influence of anthropogenic combustion. However, this correlation significantly weakened in summer (R2 = 0.66) due to the decoupling effects of biogenic activities and dilution by marine air masses. Supported by backward trajectory and emission inventory analyses, the industrial, construction, and power generation sectors were identified as the primary drivers, contributing over 75% to the regional GHG emission increments. Ultimately, this study highlights the critical role of industrial and power combustion in local atmospheric GHG variability, providing quantitative insights necessary for targeted emission mitigation in super-regional developing hubs.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.36922/ajwep026110070first seen 2026-05-20 05:53:28
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