Numerical Simulation-Based Study on the Mitigation of Carbon Dioxide Around Buildings by Spatial Morphology of Urban Road Greening
都市道路緑化の空間形態による建築物周辺二酸化炭素低減に関する数値シミュレーション研究 (AI 翻訳)
Jing Li, Shilin Zhao, Wenjie Chen
🤖 gxceed AI 要約
日本語
本研究は、道路緑化の異なる空間形態が建築物周辺のCO2濃度分布に与える影響を数値シミュレーションで検討した。結果は「樹木・低木・芝生」の複合構成がCO2濃度を効果的に低減することを示した。高密度道路網における植生配置の最適化に実用的指針を提供する。
English
This study uses numerical simulation to examine how different spatial configurations of road greening affect CO2 dispersion around buildings. Results show that a 'tree-shrub-grass' composite configuration significantly reduces CO2 concentrations. It provides practical guidance for optimizing vegetation layouts in high-density road networks.
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
日本の都市部では道路沿いのCO2対策が重要であり、本研究成果は高密度市街地の緑化計画に応用可能。2050年カーボンニュートラル達成に向けた都市デザインの基礎的知見となる。
In the global GX context
This study contributes globally to urban CO2 mitigation strategies, offering quantitative evidence for the effectiveness of multi-layer greening. It supports the development of nature-based solutions for climate adaptation in dense urban environments.
👥 読者別の含意
🔬研究者:Provides a validated simulation method for studying CO2 dispersion in urban canyons, useful for urban climate modeling and green infrastructure research.
🏢実務担当者:Offers evidence-based guidance for landscape architects and urban planners on selecting road greening configurations to reduce local CO2 pollution.
🏛政策担当者:Supports the inclusion of spatial greening requirements in urban planning regulations to meet carbon neutrality targets.
📄 Abstract（原文）
Rapid economic development has led to a growing reliance on private car commuting, making the mitigation of carbon dioxide (CO2) pollution along road environments critical for the health of nearby residents. Road greening serves as an ecological barrier between traffic emissions and adjacent residential areas, and its effectiveness in reducing local CO2 pollution has been widely studied. However, the influence of different spatial morphologies of road greening on the distribution of CO2 around buildings remains underexplored. In this study, we developed a numerical simulation model to investigate CO2 dispersion on building surfaces under various road greening spatial configurations. Simulation results indicate that a “tree–shrub–grass” composite configuration significantly reduces CO2 concentrations around buildings. These findings provide practical guidance for optimizing vegetation spatial layouts in high-density road networks and contribute to the global pursuit of carbon peak and carbon neutrality goals.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/atmos17060608first seen 2026-06-18 05:51:58
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