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Research on prediction method of carbon emission intensity for inland waterway vessel operations
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Qing LIU1, 2, 3, Fengming NIE2, Lei WANG2, 3
Navigation of China | 2025, 48(2) : 127 - 135
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Navigation of China | 2025, 48(2): 127-135
Green Shipping
Research on prediction method of carbon emission intensity for inland waterway vessel operations
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Qing LIU1, 2, 3, Fengming NIE2, Lei WANG2, 3
Affiliations
  • 1.State Key Laboratory of Waterway Traffic Control, Wuhan University of Technology, Wuhan 430000, China
  • 2.School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430000, China
  • 3.Guangdong Inland Waterway Port and Maritime Industry Research Co., Shaoguan 512000, China
Published: 2025-06-25 doi: 10.3969/j.issn.1000-4653.2025.02.016
Outline
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"The road to water" is one of the emission reduction pathways for inland transportation. The low carbon emission reduction of the inland waterway shipping industry has received widespread attention. The carbon emission intensity index is the core issue in the process of greening the inland waterway shipping industry. Developing a prediction model for the carbon emission intensity of inland vessels is the basis for formulating new energy policies for inland shipping. This paper discusses the green transformation of the inland waterway shipping industry, drawing on cutting-edge domestic and international research. First, it analyses the factors influencing inland waterway shipping carbon emissions and their interrelationships. Based on this analysis, a system dynamics model was used to construct a prediction method for carbon emission intensity. This method was then used to analyse the changing trend of carbon emission intensity for container vessels, using the Yangtze River as a case study under various scenarios. The results show that: i. The system dynamics model for predicting carbon emission intensity in inland river operations is valid and reflects the real system more accurately. ii. Under the vessel energy efficiency improvement scenario, the carbon emission intensity decreases to 94.04% and 64.40% in 2030 and 2060 respectively, compared with the baseline scenario. iii. The carbon emission intensity in 2030 and 2060 decreases to 87.47% and 29.35% of the baseline scenario for the same year respectively when multiple measures are implemented to improve ship energy efficiency, optimise energy structure, accelerate the elimination of vessels, and levy a carbon tax.

inland river  /  vessel operation  /  carbon emission intensity  /  system dynamics  /  forecast
Qing LIU, Fengming NIE, Lei WANG. Research on prediction method of carbon emission intensity for inland waterway vessel operations[J]. Navigation of China, 2025 , 48 (2) : 127 -135 . DOI: 10.3969/j.issn.1000-4653.2025.02.016
Year 2025 volume 48 Issue 2
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Article Info
doi: 10.3969/j.issn.1000-4653.2025.02.016
  • Receive Date:2024-01-10
  • Online Date:2026-03-17
  • Published:2025-06-25
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  • Received:2024-01-10
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Affiliations
    1.State Key Laboratory of Waterway Traffic Control, Wuhan University of Technology, Wuhan 430000, China
    2.School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430000, China
    3.Guangdong Inland Waterway Port and Maritime Industry Research Co., Shaoguan 512000, China
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https://castjournals.cast.org.cn/joweb/zghh/EN/10.3969/j.issn.1000-4653.2025.02.016
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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种数
Number of
species
占总种数比例
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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