Estimating emission from ships using automatic identifications system (AIS) data and analyzing uncertainty factors on emission

• Main Author: Li, Qingyao
• Other Authors: Lam Siu Lee, Jasmine
• Format: Final Year Project
• Language: English
• Published: 2019
• Subjects: Engineering::Maritime studies
• Online Access: http://hdl.handle.net/10356/78806
• Institution: Nanyang Technological University

This paper aims to conduct the general cargo ship emission accounting including greenhouse gas and other air pollutants in Port of Singapore, as well as discuss the external uncertainty factors and their impacts on ship emission. Among different types of vessels visiting Port of Singapore, hundreds...