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Speed Profiles for Improvement of Maritime Emission Estimation

机译:改善航海排放估算的速度曲线

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摘要

Maritime emissions play an important role in anthropogenic emissions, particularly for cities with busy ports such as Hong Kong. Ship emissions are strongly dependent on vessel speed, and thus accurate vessel speed is essential for maritime emission studies. In this study, we determined minute-by-minute high-resolution speed profiles of container ships on four major routes in Hong Kong waters using Automatic Identification System (AIS). The activity-based ship emissions of NOx, CO, HC, CO2, SO2, and PM10 were estimated using derived vessel speed profiles, and results were compared with those using the speed limits of control zones. Estimation using speed limits resulted in up to twofold overestimation of ship emissions. Compared with emissions estimated using the speed limits of control zones, emissions estimated using vessel speed profiles could provide results with up to 88% higher accuracy. Uncertainty analysis and sensitivity analysis of the model demonstrated the significance of improvement of vessel speed resolution. From spatial analysis, it is revealed that SO2 and PM10 emissions during maneuvering within 1 nautical mile from port were the highest. They contributed 7%–22% of SO2 emissions and 8%–17% of PM10 emissions of the entire voyage in Hong Kong.
机译:海上排放在人为排放中起着重要作用,特别是对于港口繁忙的城市,例如香港。船舶排放物在很大程度上取决于船速,因此准确的船速对于海事排放研究至关重要。在这项研究中,我们使用自动识别系统(AIS)确定了香港水域四条主要航线上集装箱船的每分钟高分辨率高分辨率速度曲线。使用导出的船舶速度曲线估算了基于活动的船舶排放的NOx,CO,HC,CO2,SO2和PM10,并将结果与​​使用控制区域的速度限值进行了比较。使用限速进行估算会导致对船舶排放的高估多达两倍。与使用控制区域限速估算的排放相比,使用船舶速度曲线估算的排放可提供高达88%的更高准确度的结果。该模型的不确定性分析和敏感性分析证明了提高船速分辨率的重要性。从空间分析可以看出,在距港口1海里以内的机动过程中,SO2和PM10排放量最高。他们贡献了整个香港航线SO2排放的7%–22%和PM10排放的8%–17%。

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