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隧道建设(中英文) ›› 2025, Vol. 45 ›› Issue (2): 284-2.DOI: 10.3973/j.issn.2096-4498.2025.02.004

• 研究与探索 • 上一篇    下一篇

铁路隧道物化阶段碳排放核算方法及管理路径研究

鲍学英1, 廖程涵1, *, 李子龙1, 吕向茹2   

  1. 1. 兰州交通大学土木工程学院, 甘肃 兰州 730070;2. 中国铁道科学研究院集团有限公司电子计算技术研究所, 北京 100081)

  • 出版日期:2025-02-20 发布日期:2025-02-20
  • 作者简介:鲍学英(1974—),女,宁夏中卫人,2017年毕业于兰州交通大学,土木工程建造与管理专业,博士,教授,现从事土木工程建造与管理方面教学与研究工作。 E-mail: 813257032@qq.com。 *通信作者: 廖程涵, E-mail: 1450071473@qq.com。

Carbon Emission Accounting Methods and Management Paths in Embodied Stage of Railway Tunnels

BAO Xueying1, LIAO Chenghan1, *, LI Zilong1, LYU Xiangru2   

  1. (1. School of Civil Engineering, Lanzhou Jiaotong University, Lanzhou 730070, Gansu, China; 2. Institute of Computing Technologies, China Academy of Railway Sciences Co., Ltd., Beijing 100081, China)

  • Online:2025-02-20 Published:2025-02-20

摘要: 为实现对铁路隧道物化阶段碳排放的准确核算与有效管理,首先,在碳排放核算时以过程分析法为基础,对于碳排放系数不明确的材料采用投入产出法进行补充,进而形成隧道物化阶段碳排放核算混合方法; 然后,将隧道划分为具有不同功能的单位模块,并据此建立基于模块化理论的铁路隧道物化阶段碳排放核算模型; 接着,结合数据质量指标(data quality index, DQI)与蒙特卡洛模拟(Monte Carlo method, MCS)对碳排放核算时的清单数据进行不确定性分析;最后,采用K-means算法将施工工序分为5类管理项,并进一步结合碳排放量与不确定度提出具有针对性的碳排放管理路径。结果表明: 1)隧道每延米的碳排放总量为11.625 t,清单数据变异系数为6.13%,验证了核算结果的可靠性; 2)在所有工序中,二次衬砌、初期支护及超前支护的碳排放贡献占总量的78.54%,属于“人材机”3因素管理项,应作为碳排放管理的关键工序。通过对各类材料的碳排放量和不确定度进行深入分析后发现: 除水泥与钢材外,砂石、减水剂、矿渣粉等也应作为关键材料进行重点管理。

关键词: 铁路隧道, 生命周期评价, 碳排放核算, 不确定性分析, 管理路径

Abstract: The accurate accounting and effective management of carbon emissions in the embodied stage of railway tunnels are essential. Therefore, in this study, the process analysis method is used as the foundation for carbon emission accounting, and the input-output method supplements materials with unclear carbon emission coefficients. This results in the application of a hybrid approach to carbon emission accounting in the embodied stage of tunnels. The tunnels are divided into unit modules based on their functional differences, and a carbon emission accounting model for the embodied stage of railway tunnels is developed using the modularization theory. Furthermore, the data quality index is integrated with the Monte Carlo method to analyze the uncertainty in the inventory data for carbon emission accounting. Finally, the K-means algorithm is applied to classify the construction process into five management item categories, thereby establishing a targeted carbon emission accounting model based on carbon emissions and uncertainty. The results reveal the following: (1) The total carbon emission per linear meter of the tunnel is 11.625 t, with a variation coefficient of 6.13%. This confirms the reliability of the accounting results. (2) The carbon emission from secondary lining, primary support, and advance support accounts for 78.54% of the total emissions. Thus, the emissions fall under the "people-materials-machines" management category and should be prioritized in carbon emission management. (3) Furthermore, a detailed analysis of the carbon emissions and material uncertainty indicates that key materials in emission management should also be considered in addition to cement and steel, sand and stone, water-reducing agents, and slag powder.

Key words: railway tunnel, life cycle assessment, carbon emission accounting, uncertainty analysis, management path