An Investigation on the use of air quality models in ship emission forecasts

Gizem Kodak
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Abstract

Today's world trade operates on the basis of maritime transportation. Combating the environmental impacts of maritime transportation has become a global concern. MARPOL Annex VI contains rules for the prevention of air pollution from ships. Air pollution represents a more abstract pollution than other annexes of MARPOL. In this context, the first and most critical step is to measure air pollution. Nowadays it is possible to calculate ship emissions with individual ship activity data instead of the traditional, fuel-based approach. One of the most ideal data sources for this calculation is AIS data. The critical question to be answered in the literature is how to obtain the highest resolution output using AIS data. Here air quality modelling gains strategic importance. In this study, air quality models used in ship emission calculations were examined with the PRISMA method and the most commonly used Eulerian and Lagrangian models were discussed. For this purpose, studies using AIS data in ship emission calculations were separated through the Scopus database and air quality modelling studies were filtered. Thus, the profile of air quality models used in ship-borne air pollution studies in the literature was obtained and a methodological reference source was created for future studies.
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关于在船舶排放预测中使用空气质量模型的调查
当今世界的贸易是以海上运输为基础的。消除海运对环境的影响已成为全球关注的问题。防污公约》附则 VI 包含防止船舶造成空气污染的规则。与《防污公约》的其他附件相比,空气污染是一种更为抽象的污染。在这种情况下,最关键的第一步是测量空气污染。如今,可以通过单个船舶活动数据来计算船舶排放量,而不是传统的基于燃料的方法。这种计算方法最理想的数据来源之一是 AIS 数据。文献中需要回答的关键问题是如何利用 AIS 数据获得最高分辨率的输出结果。在这方面,空气质量模型具有重要的战略意义。本研究采用 PRISMA 方法对船舶排放计算中使用的空气质量模型进行了检查,并讨论了最常用的欧拉模型和拉格朗日模型。为此,通过 Scopus 数据库对在船舶排放计算中使用 AIS 数据的研究进行了分类,并对空气质量模型研究进行了过滤。因此,获得了文献中用于船载空气污染研究的空气质量模型的概况,并为今后的研究创建了方法参考源。
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