高铁桥梁建设全景碳流模型构建及实证研究

李敏; 王引生; 孙家振; 刘婕; 王明路; 赵鹏; 朱丽

doi:10.13205/j.hjgc.202605024

高铁桥梁建设全景碳流模型构建及实证研究

doi: 10.13205/j.hjgc.202605024

李敏¹,
王引生¹,
孙家振¹,
刘婕¹,
王明路²,
赵鹏³,
朱丽^3, ,

1. 中铁科学研究院集团有限公司, 成都 610032;
2. 中铁十局集团有限公司济南勘察设计院, 济南 250101;
3. 山东建筑大学市政与环境工程学院, 济南 250101

基金项目:

中国中铁股份有限公司科技研究开发计划项目（2023-重大-06）

详细信息

作者简介:
李敏,高级工程师,主要研究方向为减污降碳协同管控技术研究。lmscu@126.com

通讯作者:
朱丽,副教授,主要研究方向为环境规划与管理。zhulee@sdjzu.edu.cn

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出版历程
- 收稿日期: 2025-10-09
- 网络出版日期: 2026-06-06

Construction and empirical study of a panoramic carbon flow model for high-speed railway bridge construction

1. China Railway Academy Group Co., Ltd., Chengdu 610032, China;
2. Jinan Survey and Design Institute of China Railway 10th Bureau Group Co., Ltd., Ji'nan 250101, China;
3. School of Municipal and Environmental Engineering, Shandong Jianzhu University, Ji'nan 250101, China

摘要

摘要: 工程建设项目碳足迹的精细化量化，是物化阶段制定靶向减碳策略、推动行业低碳发展的关键支撑。结合物质流分析与排放系数法，构建工程项目全景碳流模型，将建设活动划分为加工施工与办公生活2类，明确边界内及与外部系统的物质流、碳流关系，并以西渝高铁11标段何家湾大桥为实证对象开展分析。结果表明：何家湾大桥全景碳流为27482432.11 kg CO₂eq，其中，直接碳流（燃油、汽油等）占比7.6%，间接碳流（产品、运输、电力使用等）占比92.4%。从物质流维度看，全景碳流构成为产品碳流（占比72.88%）、资源能源碳流（占比25.73%）、运输碳流（占比1.04%）、废物碳流（占比0.35%）和服务碳流（占比0.01%）。从碳排放活动范围看，与施工相关的碳流占比99.17%，与办公生活相关的碳流占比0.46%。首次提出“物耗碳流速率”“能耗碳流速率”指标并用于桥梁建设碳流评估；选取5座梁式桥开展对比分析，结果显示何家湾大桥物耗碳流速率达3.91 kg/kg，居同类桥之首；能耗碳流速率为13.40 kg/kg ec，处于中等水平。评估表明其物耗偏高，可结合桥梁结构、建设地质条件等要素，挖掘减碳潜力，设计针对性减排路径。
- 桥梁建设 /
- 工程物化碳 /
- 物质流 /
- 全景碳流模型 /
- 碳流速率
Abstract: The refined quantification of carbon footprint of engineering construction projects serves as a key pillar for formulating targeted carbon reduction strategies and advancing low-carbon development in the industry during the materialization phase. In this study， material flow analysis （MFA） was integrated with the emission factor method to establish a panoramic carbon flow model for engineering projects. Construction activities were categorized into two types： processing and construction， and office and daily operations. The material flow and carbon flow relationships within the defined system boundary and with external systems were clarified， and an empirical analysis was conducted using the Hejiawan Bridge of Section 11 of the Xiyu High-Speed Railway as the case. The results demonstrate that the total carbon flow of the Hejiawan Bridge amounts to 27，482，432.11 kg CO₂eq， of which direct carbon flow （including fuel oil， gasoline， etc.） accounts for 7.6%， and indirect carbon flow （including products， transportation， electricity consumption， etc.） accounts for 92.4%. From the perspective of material flow， the total carbon flow is composed of five categories： product carbon flow （72.88%）， resource and energy carbon flow （25.73%）， transportation carbon flow （1.04%）， waste carbon flow （0.35%）， and service carbon flow （0.01%）. In terms of the scope of carbon emission activities， carbon flow associated with construction accounts for 99.17%， while that related to office and daily operations accounts for 0.46%. Two indicators， namely material consumption carbon flow rate and energy consumption carbon flow rate， were proposed for the first time for the carbon flow assessment of bridge construction. A comparative analysis was performed on five girder bridges. The results indicate that the material consumption carbon flow rate of the Hejiawan Bridge is 3.91 kg CO₂eq/kg， ranking the highest among bridges of the same type， while its energy consumption carbon flow rate is 13.40 kg CO₂eq/kg ec， which falls at a medium level. The assessment reveals that the material consumption of the bridge is relatively high. Carbon reduction potential can be explored and targeted emission reduction pathways can be designed by considering factors such as the bridge structure and construction geological conditions.
- bridge construction /
- engineering materialization-stage carbon /
- material flow /
- panoramic carbon flow model /
- carbon flow rate

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参考文献(22)

[1]	CHAI Q M，FU S，ZHENG X Q，et al. Research on total carbon emission control targets and policies for key sectors and industries in China［J］. China Population，Resources and Environment，2017，27（12）：1- 7. 柴麒敏，傅莎，郑晓奇，等. 中国重点部门和行业碳排放总量控制目标及政策研究［J］. 中国人口·资源与环境，2017，27（12）：1- 7.
[2]	International Organization for Standardization. ISO 14072：2024 Environmental management—Life cycle assessment—Requirements and guidelines for organizational life cycle assessment［S］. Geneva：ISO，2024.
[3]	International Organization for Standardization. ISO 14064-1：2006 Greenhouse gases—Part 1：Specification with guidance at the organization level for quantification and reporting of greenhouse gas emissions and removals［S］. Geneva：ISO，2006.
[4]	LIU M Y，OUYANG D. Calculation method of carbon emissions in the life cycle of bridge engineering［J］. Journal of Civil，Architectural and Environmental Engineering，2011，33（1）：125- 129. 刘沐宇，欧阳丹. 桥梁工程生命周期碳排放计算方法［J］. 土木建筑与环境工程，2011，33（1）：125- 129.
[5]	REN F M，GUO X，LIANG R，et al. Evaluation of carbon dioxide emissions in the life cycle of railway construction［J］. Journal of Beijing Jiaotong University，2013，37（1）：115- 119. 任福民，郭鑫，梁锐，等. 铁路建设生命周期二氧化碳排放评价［J］. 北京交通大学学报，2013，37（1）：115- 119.
[6]	HE J L，CHEN Y Q，DONG X，et al. Analysis on life-cycle carbon emission characteristics of extra-large bridges based on LCA［J］. Energy Conservation and Environmental Protection in Transportation，2022，18（6）：25- 37. 何江陵，陈勇强，董欣，等. 基于LCA的特大桥梁全寿命碳排放特征分析［J］. 交通节能与环保，2022，18（6）：25- 37.
[7]	XIONG Z H，LIU H Y，ZHU M Y，et al. Research on carbon emissions and optimization of prestressed concrete girder bridges in Southern Shaanxi Mountainous Areas［J］. Construction Technology，2023，52（23）：90- 97. 熊治华，刘宏宇，朱铭宇，等. 陕南山区预应力混凝土梁桥碳排放及优化研究［J］. 施工技术，2023，52（23）：90- 97.
[8]	MA X Y. Research on energy consumption and carbon emissions in the full life cycle of high-speed railways［D］. Shijiazhuang：Shijiazhuang Tiedao University，2016. 马晓元. 高速铁路全寿命周期能耗及碳排放研究［D］. 石家庄：石家庄铁道大学，2016.
[9]	LUAN X Y，LIU W，CUI Z J，et al. Research on China's plastic resource metabolism based on material flow analysis［J］. Resources Science，2020，42（2）：372- 382. 栾晓玉，刘巍，崔兆杰，等. 基于物质流分析的中国塑料资源代谢研究［J］. 资源科学，2020，42（2）：372- 382.
[10]	TANG X X. Research on carbon emission calculation system for the materialization stage of railway tunnel civil engineering［D］. Xi'an：Xi'an University of Technology，2024. 唐晓霞. 铁路隧道土建工程物化阶段碳排放计算系统研究［D］. 西安：西安理工大学，2024.
[11]	XU J，GUO C，YU L. Factors influencing and methods of predicting greenhouse gas emissions from highway tunnel construction in southwestern China［J］. Journal of Cleaner Production，2019，229：337- 349.
[12]	XUE B，LI H Q，HUANG B J，et al. Data-driven research on social-economic-natural complex ecosystems:scales，processes and their decision-making correlations［J］. Chinese Journal of Applied Ecology，2022，33（12）：3169- 3176. 薛冰，李宏庆，黄蓓佳，等. 数据驱动的社会-经济-自然复合生态系统研究：尺度、过程及其决策关联［J］. 应用生态学报，2022，33（12）：3169- 3176.
[13]	International Panel on Climate Change（IPCC）. 2006 IPCC Guidelines for National Greenhouse Gas Inventories［M］. Hayama：The Institute for Global Environmental Strategies，2006.
[14]	Department of Climate Change，National Development and Reform Commission. Guidelines for compiling provincial greenhouse gas inventories（Trial）［R］. Beijing：Department of Climate Change，National Development and Reform Commission，2010. 国家发展和改革委员会应对气候变化司. 省级温室气体清单编制指南（试行）［R］. 北京：国家发展和改革委员会应对气候变化司，2010.
[15]	Department of Housing and Urban-Rural Development of Jiangsu Province，Southeast University，et al. Guidelines for calculation of carbon emissions of civil buildings in Jiangsu Province［EB/OL］.（2023）［ 2026-04-13］. https://jsszfhcxjst.jiangsu.gov.cn/. 江苏省住房与城乡建设厅，东南大学，等. 江苏省民用建筑碳排放计算导则［EB/OL］.（2023）［ 2026-04-13］. https://jsszfhcxjst.jiangsu.gov.cn/.
[16]	Shandong Provincial Environmental Protection Industry Association. Technical guide for carbon emission accounting of railway engineering projects.T/SDEPI 048—2025［S］. 2025. 山东省环境保护产业协会. 铁路工程项目碳排放核算技术指南：T/SDEPI 048—2025［S］. 2025.
[17]	WANG S J，HUANG Y Y. Spatial spillover effect and driving factors of urban carbon emission intensity in China［J］. Acta Geographica Sinica，2019，74（6）：1131- 1148. 王少剑，黄永源. 中国城市碳排放强度的空间溢出效应及驱动因素［J］. 地理学报，2019，74（6）：1131- 1148.
[18]	VEJOVIC T，PETKOVIC Z，PAVLOVIC M，et al. Economic growth based on carbon dioxide emission intensity［J］. Physica A：Statistical Mechanics and Its Applications，2018，506：179- 185.
[19]	SONG X J，CHEN K K，WANG J M. Analysis on influencing factors of carbon emission intensity of construction industry in China［J］. Environmental Engineering，2018，36：178- 182.
[20]	Chinese Nutrition Society. Dietary guidelines for Chinese residents（2022）［M］. Beijing：People’s Medical Publishing House，2022：10- 39. 中国营养学会. 中国居民膳食指南（2022）［M］. 北京：人民卫生出版社，2022：10- 39.
[21]	China City Greenhouse Gas Working Group. China Product Life Cycle Greenhouse Gas Emission Factor Set［EB/OL］.［ 2026-04-13］. http://lca.cityghg.com/. 中国城市温室气体工作组. 中国产品全生命周期温室气体排放系数集［EB/OL］.［ 2026-04-13］. http://lca.cityghg.com/.
[22]	Ministry of Ecology and Environment of the People’s Republic of China. 2022 baseline emission factors for China's regional power grids for emission reduction projects［EB/OL］.（2020-12-29）［ 2026-04-13］. https://www.mee.gov.cn. 中华人民共和国生态环境部. 2022年度减排项目中国区域电网基准线排放因子［EB/OL］.（2020-12-29）［ 2026-04-13］. https://www.mee.gov.cn.