可靠性(半导体)
环境科学
过程(计算)
自上而下和自下而上的设计
海洋工程
计算机科学
运筹学
工程类
功率(物理)
物理
软件工程
量子力学
操作系统
作者
Xiaoyan Chen,Jiaxuan Yang
标识
DOI:10.1016/j.marpolbul.2023.115968
摘要
Although the AIS-based bottom-up approach has become the dominant method for estimating ship emissions, there are still inherent uncertainties due to the numerous complex factors involved. This paper aims to investigate the development process of the AIS-based bottom-up approach and identify the primary sources of uncertainty by conducting a systematic review of 29 articles published since 2015. The result shows three sources of uncertainty for estimating ship emissions, i.e., the acquisition and processing of AIS data, ship characteristic information and engine load calculation, and the determination of emission factors. This paper suggests that the accuracy of ship emission inventories can be improved by enhancing the reliability of datasets, uniformly defining engine load calculation formulas, and making more extensive measurements of local emissions to provide substantial support for ship emissions management and facilitate the development of more effective emission reduction strategies.
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