Article(id=1240655515458532246, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240655508231746242, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1000-4653.2025.02.019, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1715184000000, receivedDateStr=2024-05-09, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773724925150, onlineDateStr=2026-03-17, pubDate=1750780800000, pubDateStr=2025-06-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773724925150, onlineIssueDateStr=2026-03-17, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773724925150, creator=13701087609, updateTime=1773724925150, updator=13701087609, issue=Issue{id=1240655508231746242, tenantId=1146029695717560320, journalId=1240618002186551303, year='2025', volume='48', issue='2', pageStart='1', pageEnd='180', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773724923427, creator=13701087609, updateTime=1773725151164, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1240656463488667953, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240655508231746242, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1240656463492862258, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240655508231746242, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=151, endPage=158, ext={EN=ArticleExt(id=1240655515680830373, articleId=1240655515458532246, tenantId=1146029695717560320, journalId=1240618002186551303, language=EN, title=Evaluation and outlook of countermeasures and emission reduction effectiveness on clean and low-carbon development of China's comprehensive transportation, columnId=1240655020656489358, journalTitle=Navigation of China, columnName=Green Shipping, runingTitle=null, highlight=null, articleAbstract=

Clean and low-carbon development in the transportation sector is crucial for preventing, controlling and mitigating atmospheric environmental problems that threaten sustainable human health. Based on statistical data, sustainable development reports and pollution prevention and control plans for the five modes of transport, including railways, highways, waterways, civil aviation and urban transport, released by the relevant authorities, we have introduced rail-water intermodal transport, China-Europe express trains, high-speed rail passenger transport, Electronic Toll Collection (ETC) and 12 strategies to improve the quality of vehicle fuel, including enhancing port efficiency and maritime energy efficiency. Ship fuel quality; pollution control and emission reduction at solid and liquid bulk cargo terminals; enhancing civil aviation's energy conservation and emission reduction capabilities; electric public transport; and rail transit. A calculation model for reducing air pollutants and greenhouse gas emissions was proposed based on the fuel method, transportation energy consumption, emission factors and alternative transportation volume. Twelve scenario emission reduction estimation methods based on analogy and statistical analysis were also proposed. Based on estimated reductions in fuel, air pollutants and CO2, the effectiveness of clean and low-carbon development in comprehensive transportation has been reviewed since 2013. Prospects for the development of clean and low-carbon comprehensive transportation have been established in response to the problems and challenges we face.

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综合交通清洁低碳发展对于防控与缓解危害人类可持续健康发展的大气环境问题具有重大意义,为此依据主管部门公开的铁路、公路、水路、民航、城市等5种运输方式的统计数据、可持续发展报告、污染防治规划,分别设定了铁水联运、中欧班列、高铁客运、电子不停车收费(ETC)、车用燃料质量提升、港口效率提升、海运能效提升、船舶燃油质量提升、固液散货码头污染治理减排、民航节能减排能力提升、电动公交、轨道交通等12种关于清洁低碳发展的对策情景,提出了基于燃料法-运输能耗-排放因子-替代运输量的空气污染物及温室气体减排量计算模式和基于类比及统计分析等方法的12种对策情景减排量估算方法,根据估算的2013年以来的燃油及空气污染物和CO2的减排量,对综合交通清洁低碳发展的成效进行了回顾,针对面临的问题与挑战对综合交通清洁低碳的发展做出了展望。

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林晶晶(1986—),女,高级工程师,硕士,研究方向为水运物流、航海保障。E-mail:
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乔冰(1959—),女,研究员,博士,研究方向为环境科学、航运生态保护与污染防治、交通运输碳减排与碳中和。E-mail:

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乔冰(1959—),女,研究员,博士,研究方向为环境科学、航运生态保护与污染防治、交通运输碳减排与碳中和。E-mail:

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乔冰(1959—),女,研究员,博士,研究方向为环境科学、航运生态保护与污染防治、交通运输碳减排与碳中和。E-mail:

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中国综合交通清洁低碳发展对策及减排效果评估与展望
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乔冰 , 林晶晶
中国航海 | 绿色航运 2025,48(2): 151-158
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中国航海 | 绿色航运 2025, 48(2): 151-158
中国综合交通清洁低碳发展对策及减排效果评估与展望
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乔冰 , 林晶晶
作者信息
  • 交通运输部水运科学研究院,北京 100088
  • 乔冰(1959—),女,研究员,博士,研究方向为环境科学、航运生态保护与污染防治、交通运输碳减排与碳中和。E-mail:

通讯作者:

林晶晶(1986—),女,高级工程师,硕士,研究方向为水运物流、航海保障。E-mail:
Evaluation and outlook of countermeasures and emission reduction effectiveness on clean and low-carbon development of China's comprehensive transportation
Bing QIAO , Jingjing LIN
Affiliations
  • China Waterborne Transport Research Institute, Beijing 100088, China
出版时间: 2025-06-25 doi: 10.3969/j.issn.1000-4653.2025.02.019
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综合交通清洁低碳发展对于防控与缓解危害人类可持续健康发展的大气环境问题具有重大意义,为此依据主管部门公开的铁路、公路、水路、民航、城市等5种运输方式的统计数据、可持续发展报告、污染防治规划,分别设定了铁水联运、中欧班列、高铁客运、电子不停车收费(ETC)、车用燃料质量提升、港口效率提升、海运能效提升、船舶燃油质量提升、固液散货码头污染治理减排、民航节能减排能力提升、电动公交、轨道交通等12种关于清洁低碳发展的对策情景,提出了基于燃料法-运输能耗-排放因子-替代运输量的空气污染物及温室气体减排量计算模式和基于类比及统计分析等方法的12种对策情景减排量估算方法,根据估算的2013年以来的燃油及空气污染物和CO2的减排量,对综合交通清洁低碳发展的成效进行了回顾,针对面临的问题与挑战对综合交通清洁低碳的发展做出了展望。

交通清洁低碳发展  /  减排量  /  空气污染物  /  温室气体  /  减排对策  /  计算模型

Clean and low-carbon development in the transportation sector is crucial for preventing, controlling and mitigating atmospheric environmental problems that threaten sustainable human health. Based on statistical data, sustainable development reports and pollution prevention and control plans for the five modes of transport, including railways, highways, waterways, civil aviation and urban transport, released by the relevant authorities, we have introduced rail-water intermodal transport, China-Europe express trains, high-speed rail passenger transport, Electronic Toll Collection (ETC) and 12 strategies to improve the quality of vehicle fuel, including enhancing port efficiency and maritime energy efficiency. Ship fuel quality; pollution control and emission reduction at solid and liquid bulk cargo terminals; enhancing civil aviation's energy conservation and emission reduction capabilities; electric public transport; and rail transit. A calculation model for reducing air pollutants and greenhouse gas emissions was proposed based on the fuel method, transportation energy consumption, emission factors and alternative transportation volume. Twelve scenario emission reduction estimation methods based on analogy and statistical analysis were also proposed. Based on estimated reductions in fuel, air pollutants and CO2, the effectiveness of clean and low-carbon development in comprehensive transportation has been reviewed since 2013. Prospects for the development of clean and low-carbon comprehensive transportation have been established in response to the problems and challenges we face.

clean transportation and low-carbon development  /  emission reduction  /  air pollutants  /  greenhouse gases  /  emission reduction measures  /  computational model
乔冰, 林晶晶. 中国综合交通清洁低碳发展对策及减排效果评估与展望. 中国航海, 2025 , 48 (2) : 151 -158 . DOI: 10.3969/j.issn.1000-4653.2025.02.019
Bing QIAO, Jingjing LIN. Evaluation and outlook of countermeasures and emission reduction effectiveness on clean and low-carbon development of China's comprehensive transportation[J]. Navigation of China, 2025 , 48 (2) : 151 -158 . DOI: 10.3969/j.issn.1000-4653.2025.02.019
  • 能源基金会“中国可持续能源交通项目组”船舶与港口空气污染防治1期(G-1308-18847)
2025年第48卷第2期
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doi: 10.3969/j.issn.1000-4653.2025.02.019
  • 接收时间:2024-05-09
  • 首发时间:2026-03-17
  • 出版时间:2025-06-25
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  • 收稿日期:2024-05-09
基金
能源基金会“中国可持续能源交通项目组”船舶与港口空气污染防治1期(G-1308-18847)
作者信息
    交通运输部水运科学研究院,北京 100088

通讯作者:

林晶晶(1986—),女,高级工程师,硕士,研究方向为水运物流、航海保障。E-mail:
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2种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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Genus
种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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