美国海运货运碳排放使用AIS数据从2018年到2022年
Cheng Cheng1,2, Zengshuang Li1, Yuting Yan3
1School of Transportation, Southeast University, Nanjing, 211189, China.
Scientific data
|May 25, 2024
概括
全球海事排放量正在上升,促使美国需要更好的碳核算. 本研究使用船舶活动数据来完善货物和油轮船舶的海上排放计算.
科学领域:
- 环境科学 环境科学
- 海上交通运输 海上交通运输
- 气候变化 气候变化
背景情况:
- 全球海洋排放对温室气体有着重大贡献,预计到2050年将大幅增加.
- 国际治理差距为管理海上排放带来了监管挑战.
- 美国海事部门现有的自上而下的排放估计方法需要进一步研究.
研究的目的:
- 调查美国海上排放的复杂性,特别关注碳核算,转移和对货物和油轮船只的补偿.
- 通过提供详细的见解来解决目前美国海上排放研究的差距.
- 为美国海事部门的战略减排工作提供信息.
主要方法:
- 使用自动识别系统 (AIS) 数据涵盖2018年至2022年的数据.
- 采用基于活动的自下而上的方法来计算排放.
- 专注分析高冲击型船舶类型,包括货船和油轮.
主要成果:
- 通过自下而上的方法论,对美国的海上排放产生了精细的理解.
- 提供了对该行业内碳转移和补偿的动态的见解.
- 基于船舶活动的量化排放,提供比传统方法更细致的视角.
结论:
- 这项研究为美国海事碳核算提供了一种新的方法,超越了传统的上下估计.
- 调查结果为为美国海事行业制定有针对性的减排战略提供了关键数据.
- 该研究通过加强排放管理来支持向更可持续的美国海事未来的过渡.
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