城市绿地全生命周期碳计算工具对比分析
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李贤基/2003 年生/ 男/ 广东湛江人/ 本科/ 华南农业大学林学与风景园林学院(广州 510642)/ 专业方向为风景园林规划与设计、城市绿地碳中和

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TU986

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国家自然科学基金项目(面上项目)“粤港澳大湾区多尺度城市化梯度下的鸟类谱系/ 功能/ 均质化及生境优化与多样性提升研究”(编号:52478053);培育壮大科技特派员队伍和科研合作项目“蜂蝶友好型乡土蜜源灌草植物群落构建与示范”(编号:2024760000340010537)


Comparative Analysis of Carbon Calculation Tools for the Full Life Cycle of Urban Green Space
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    摘要:

    在碳中和背景下,城市绿地因重要的碳汇功能成为风景园林研究的重点对象。精准核算城市绿地全生命周期的碳排放、碳汇及碳平衡需要适用的碳计算工具。通过对现有城市绿地的碳计算工具进行整理分析,筛选出Bond、Pathfinder 和Carbon Conscience 三种适用于城市绿地全生命周期碳计算的工具,从数据来源、地区适应性、功能覆盖、可应用阶段及适用尺度五大维度展开对比分析,探讨其在城市绿地全生命周期碳平衡计算中的技术特点和应用局限,并提出优化路径。结果显示,3 种工具在功能上覆盖了碳排放与碳汇的综合核算,但受限于地区数据偏差和全生命周期覆盖不足,难以直接适用于我国城市绿地碳计算;需进一步构建本土数据库与动态模型,强化全周期覆盖,支持多尺度融合,提升用户友好性与智能化水平。

    Abstract:

    In the context of carbon neutrality, urban green spaces have become a key research focus in landscape architecture due to their important carbon sequestration function. Accurately quantifying carbon emissions, carbon sequestration, and carbon balance over the full life cycle of urban green spaces requires appropriate carbon calculation tools. Through a systematic review and analysis of existing carbon calculation tools for urban green spaces, three tools applicable to full life-cycle carbon calculation are selected: Bond, Pathfinder, and Carbon Conscience. A comparative analysis is conducted from five dimensions: data sources, regional adaptability, functional coverage, applicable stages, and applicable scales. Their technical characteristics and application limitations in the full life-cycle carbon balance calculation of urban green spaces are discussed, and optimization pathways are proposed. The results show that although the three tools integrate comprehensive accounting of carbon emissions and carbon sequestration, their direct application to China's urban green space carbon calculation is hindered by regional data biases and insufficient full life cycle coverage. Further efforts are needed to build localized databases and dynamic models, strengthen full life cycle coverage, support multi-scale integration, and improve user-friendliness and intelligence.

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  • 收稿日期:2025-09-01
  • 最后修改日期:2026-01-29
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  • 在线发布日期: 2026-06-29
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