| 厦门市船舶控制区大气污染物排放清单与污染特征 |
| 摘要点击 1728 全文点击 705 投稿时间：2020-01-08 修订日期：2020-02-24 |
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| 中文关键词 厦门港 排放清单 AIS动力法 排放特征 时空分布 |
| 英文关键词 Xiamen Port emission inventory AIS activity-based approach characteristics of emission spatio-temporal distribution |
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| 中文摘要 |
| 以船舶自动识别系统（automatic identification system，AIS）数据，结合大量厦门港口实地调查信息，采用自下而上的动力法对在控制区内航行的船舶进行逐艘计算，得出2018年厦门市船舶控制区大气污染物排放清单，并详细分析了其污染物排放特征及时空分布.结果表明，2018年厦门市船舶控制区内船舶污染物排放总量共16413 t，其中进出港船舶污染物排放占82.2%，未进港船舶占17.8%，各污染物中以NOx的排放量最大，占比达64.2%，不同航行状态下污染物排放量的顺序为停泊 > 巡航 > 低速巡航 > 机动操控 > 锚泊，控制区内船舶的主要污染来源于货船，并以集装箱船的污染物排放量为最大；1 d中09：00～16：00处于船舶污染物排放高峰期，1 a中以2月的排放量为最低，3月和5月出现排放峰值；空间特征上各污染物排放高值主要分布于主航道和港区海岸线. |
| 英文摘要 |
| Based on the automatic identification system (AIS) data and large field survey datasets for Xiamen port, the activity-based approach was used to calculate the emissions from each sailing ship in the Xiamen Emission Control Area (XECA), and to obtain the 2018 air emissions inventory for the XECA. This study subsequently analyzed the emission characteristics and spatiotemporal distribution characteristics of pollutants. The results showed that in 2018, the total amount of pollutants discharged from ships in the XECA was 16413 t, of which 82.2% were from ships entering and leaving the port and 17.8% were from ships outside of the port. NOx emissions were the highest among all of the pollutants and accounted for 64.2% of the total. Comparing the results of the five modes, emissions at berth were the highest, which was followed by the cruise mode, reduced speed-zone mode and maneuvering mode, and finally, the hoteling mode. In addition, the analysis indicated that the main source of pollutant emissions in Xiamen Port was cargo ships, of which, container ships contributed the most. The peak period of pollutant emissions from ships was between 09:00 and 16:00. The emission value during February was the lowest over the year, whereas the highest emission values occurred mostly during March and May. In terms of the spatial distribution, this study revealed that the main channel and port coastline had the highest emission values. |
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