As a result of the rapid growth of international trade, atmospheric pollution from transportation has been more topical than ever, especially in dense hub port-cities. The shipping industry should pay more attention corresponding to its contribution to local atmospheric pollution. This paper supports the application of data collected from the vessel tracking service system with a bottom-up approach to generate a comprehensive 2019 local ship emission inventory at Port of Incheon. The calculated emission inventory presented the dominance of CO₂ emission and the considerable contribution of NO_x and SO_x emissions, the significant contribution of auxiliary engines during the hotelling at berth during the year of 2019. Then, based on calculated emission inventory, this study suggested and simulated applicable green policies in the practice: (1) local emission control area realization, (2) vessel speed reduction program, (3) application of cold ironing, and (4) establishment of a national integrated emission platform. The combination of the three first policies could help reduce the significant volume of emitted CO (29%), NO_x (30%), SO_x (93%), PM10 and PM2.5 (64%), VOC (28%), NH₃ (30%), and CO₂ (30%).

中文翻译：

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基于VTS数据的自下而上的仁川港船舶排放清单

由于国际贸易的迅速增长，交通运输造成的大气污染比以往任何时候都更为重要，特别是在人口稠密的枢纽港口城市。航运业应更加关注其对当地大气污染的影响。本文采用自下而上的方法来支持从船舶跟踪服务系统收集的数据的应用，以在仁川港生成全面的2019年本地船舶排放清单。计算出的排放清单显示了CO ₂排放的优势以及NO _x和SO _x的显着贡献排放量，即辅助发动机在泊位酒店期间的重大贡献。该研究基于计算的排放量清单，并在实践中提出了适用的绿色政策，并在实践中进行了模拟：（1）实现本地排放控制区，（（2） ）船舶减速计划，（3）冷熨的应用，以及（4）建立国家综合排放平台。三项优先政策的结合可以帮助减少大量排放的CO（29％），NO _x（30％），SO _x（93％），PM10和PM2.5（64％），VOC（28％） ，NH ₃（30％）和CO ₂（30％）。