THESIS
2021
1 online resource (xi, 87 pages) : illustrations (some color), color maps
Abstract
Port transportation is the main cause of air pollution near the coastal area because the fuel consumed by ships is mainly residual or heavy oil, which contains 100 to 3,500 times more sulphur than gasoline. Hong Kong port is one of the most busy and famous port areas in the world which attracts a lot of cargo transportation because of its lower port tariff. Therefore, the navigation sector has become one of the largest emission sources in Hong Kong and it will also pose a great threat to public health. Local government and International Maritime Organization have already published regulations and policies to help control pollution emit by vessels in the past few years. The formulation of these regulations is mainly based on marine emission inventory. However, in previous research, the m...[
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Port transportation is the main cause of air pollution near the coastal area because the fuel consumed by ships is mainly residual or heavy oil, which contains 100 to 3,500 times more sulphur than gasoline. Hong Kong port is one of the most busy and famous port areas in the world which attracts a lot of cargo transportation because of its lower port tariff. Therefore, the navigation sector has become one of the largest emission sources in Hong Kong and it will also pose a great threat to public health. Local government and International Maritime Organization have already published regulations and policies to help control pollution emit by vessels in the past few years. The formulation of these regulations is mainly based on marine emission inventory. However, in previous research, the marine exhaust inventory provided were all based on historical data, which is not very timely.
In this research, we introduce a web-based real-time marine emission collection and calculation framework to generate real-time marine emission inventory. The framework can be divided into three parts: Real-time Marine Emission, Historical Marine Emission and Decision Support System. For part one, the system can retrieve the latest ship signals from the real-time Automatic Information System (AIS), and then use our Ship Traffic Emission Assessment Model (STEAM) model to calculate marine emission from each vessel, finally the real-time marine emission was presented to users in the format of marine emission maps, and we also include a 1-hour emission animation for observing the trajectory of each vessel. For part 2, eight versions of historical data were provided to users. Users can analyse marine emission maps in different domain, datetime, ship type, EPD ship type, engine mode and pollutant. And temporal plots were also provided to users if they are interested in the emission proportion by time, mode and ship type, they can keep those charts for further analysis. For part 3, four commonly used ship control policies were collected from previous research (Switch to lower sulphur content fuel for vessels at berth / Connect to shore power when ships are berthing inside Emission Control Area / Prohibit fishing boats from traveling during the fishing off season / Reduce or increase vessel speed). In this part, we help to estimate marine emission after applying the four ship control policies and to help policy makers make decision about which ship control policy can help reduce marine emission in a certain area. Also, to compare the effects of different ship control policies, to give decision makers a general view about how different ship control policies can help to reduce marine emission.
Key words: AIS, real-time marine emission, emission inventory, ship control policy, web-based system
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