[Marine Emission Inventory and Its Temporal and Spatial Characteristics in the City of Shenzhen].

[Marine Emission Inventory and Its Temporal and Spatial Characteristics in the City of Shenzhen].
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发表时间:
2015-04
期刊:
Huan jing ke xue= Huanjing kexue
影响因子:
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通讯作者:
Jing Yang;P. Yin;Sijing Ye;Shuisheng Wang;Jun-yu Zheng;Jianliang Ou
Jing Yang;P. Yin;Sijing Ye;Shuisheng Wang;Jun-yu Zheng;Jianliang Ou
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其他
文献类型:
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作者:
Jing Yang;P. Yin;Sijing Ye;Shuisheng Wang;Jun-yu Zheng;Jianliang Ou

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为分析深圳市船舶排放特征,采用基于活动和基于燃料的方法,利用劳氏船级社(LR)船舶档案和自动识别系统(AIS)船舶航迹数据,编制了2010年深圳市船舶排放清单。海洋排放清单是根据船只轨迹数据在时间上(分辨率:1小时)和空间上(分辨率:1公里x1公里)分配的。结果表明,深圳市船舶排放的SO2、NO(x)、CO、PM10、PM2.5和VOCs的总量分别为13.6 × 10(3)、23.3 × 10(3)、2.2 × 10(3)、1.9 × 10(3)、1.7 × 10(3)和1. x10(3)t。在各类船舶中,集装箱船的排放量最高;对于不同的驾驶模式,发现霍特林模式具有最大的使命。海洋排放量一般在白天较高,船只特有的峰值。在空间分布上,海洋排放总体呈带状分布,热点集中在西部港口群、大鹏湾和重点航道。
To analyze the characteristic of marine emission in Shenzhen City, activity-based and fuel-based approaches were utilized to develop the marine emission inventory for the year of 2010, using the vessel files from the Lloyd's register of shipping (LR) and vessel track data from the automatic identification system (AIS). The marine emission inventory was temporally (resolution: 1 hour) and spatially (resolution: 1 km x 1 km) allocated based on the vessel track data. Results showed that total emissions of SO2, NO(x), CO, PM10, PM2.5 and VOCs from marine vessels in Shenzhen City were about 13.6 x 10(3), 23.3 x 10(3), 2.2 x 10(3), 1.9 x 10(3), 1.7 x 10(3) and 1. x 10(3) t, respectively. Among various types of marine vessels, emission from container vessels was the highest; for different driving modes, hotelling mode was found with the largest mission. Marine emissions were generally higher in the daytime, with vessel-specific peaks. For spatial distributions, in general, marine emissions were zonally distributed with hot spots in the western port group, Dapeng Bay and the key waterway.