カーボンニュートラル志向の炭素貯留と炭素排出の空間的不一致とフロー分析：重慶市主城区の事例
Carbon neutrality-oriented spatial mismatch and flow analysis of carbon stocks and carbon emissions: a case study of Chongqing main city (原題)
Fang Wang, Wenwen Zhang, Yue Zhang, Yike Yu, Xin Sun, Nayao Zhang, Yingjun Sun, Qi Wang
🤖 gxceed AI 要約
日本語
本研究は、重慶市主城区を対象に、InVESTモデルと空間フローモデルを用いて、2000年から2020年までの炭素貯留と炭素排出の空間的不一致とフローを分析した。炭素貯留は減少傾向、排出は増加傾向を示し、炭素収支の赤字地域が拡大した。空間フロー分析により、炭素供給源から需要地への補償フローの方向性が安定していることが明らかになった。これらの知見は、都市の炭素資源配分の最適化とカーボンニュートラル達成に貢献する。
English
This study analyzes spatial mismatch and flows of carbon stocks and emissions in Chongqing's main urban area from 2000 to 2020 using InVEST and spatial flow models. Carbon stocks declined while emissions increased, expanding deficit areas. Flow analysis reveals stable compensation flows from supply to demand areas. Findings support optimizing carbon resource allocation and achieving carbon neutrality in urban contexts.
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
日本の都市計画やカーボンニュートラル政策（ゼロカーボンシティ）において、地域内の炭素収支の空間的不均衡を可視化する手法は参考になる。特に、SSBJや自治体の脱炭素計画における科学的根拠として活用可能性がある。
In the global GX context
This study offers a replicable methodology for urban carbon balance analysis, relevant to global climate disclosure and transition planning. It provides empirical evidence on spatial carbon flows, useful for cities aiming to meet net-zero targets and for aligning with frameworks like CDP and GCoM.
👥 読者別の含意
🔬研究者:Provides a methodological framework for spatial carbon mismatch and flow analysis that can be applied to other urban regions.
🏢実務担当者:Offers insights for urban planners and sustainability teams to identify priority areas for carbon sink enhancement and emission reduction.
🏛政策担当者:Informs local climate policies by highlighting spatial disparities in carbon balance, supporting targeted interventions.
📄 Abstract（原文）
The balance between carbon stocks (CS) and carbon emissions (CE) is crucial for optimizing regional ecosystem management and enhancing ecosystem carbon sink capacity. Taking the main urban area of Chongqing (MUAC) as the study area, this study integrated the InVEST model, carbon emission coefficient method, CS-CE ratio (CSER), hotspot analysis, and spatial flow field strength model to investigate the spatial mismatch characteristics of CS and CE and their flows patterns from 2000 to 2020. The results showed the following: (1) The average CS declined steadily from 328.63 t to 313.76 t, with high-CS areas coinciding with high-altitude regions. The CE exhibited an inverted U-shaped trend over time, with an overall upward tendency. And high-CE areas were mainly concentrated in the midwestern and northern parts of MUAC. (2) The CSER exhibited a decreasing trend, with the deficit area expanding by 8.3%. Both carbon sink and carbon source areas experienced a fluctuating trend of first increasing and then decreasing. The carbon sink areas remained relatively stable overall, while the carbon source areas expanded by 1.5%. Spatially, the surplus areas were mainly distributed in the northern and southeastern regions, as well as the parallel mountain ranges dominated by Jinyun Mountain, Zhongliang Mountain, Tongluo Mountain, and Mingyue Mountain, whereas deficit areas were primarily located in the central urban areas. (3) The spatial flows magnitudes from CS areas initially increased then decreased, but directional stability persisted. Specifically, Jindaoxia Town in Beibei District remained the core supplier, prioritizing compensation flows to high-CE clusters of Jiugongmiao and Yuejincun in Dadukou District. These research findings can provide critical insights for optimizing carbon resource allocation, achieving carbon neutrality targets, and promoting sustainable urban development.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1186/s13021-026-00498-2first seen 2026-09-08 04:40:31
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