The Assessment and Monitoring of Ship Emissions in a Green Port via AIS and GIS

• Main Authors: Chen, Chao-Wei, 陳昭維
• Other Authors: Chung, Wu-Hsun
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/dyw5hf

碩士 === 國立臺灣海洋大學 === 運輸科學系 === 104 === In the recent decades, the average global temperature has been observed to rise gradually. The impact of global warming on the Earth intensifies increasingly. Maritime transportation is a major transportation mode of global logistics. Ports play a key role in maritime transportation. A large number of ship activities occurs inside ports, such as container loading, unloading, handling etc. Inevitably, these ship activities produce a large of quantity of pollution in ports. Many countries gradually pay attention to ship emissions monitoring, control and assessment. This research combines Geographic Information System (GIS), Automatic Identification System (AIS), and Fuzzy Theory with port air pollutant emissions inventory to construct two effective monitoring and assessment tools. First, an environmental impact indicator is developed by applying Fuzzy Theoryto monitor the real-time influence of the ship emissions on the environment in a port. Second, a ship emissions estimation model is used to analyze ship emissions in various scenarios for carbon reduction plans. The scenario simulation provides useful information for port managers’ decision making.