Wang Jian, Huang Zhi, Liu Yan-Ying, Chen Sen-Yang, Wu Yan-Cong, He Yue-Yun, Yang Xin-Yi
Xiamen Research Academy of Environmental Science, Xiamen 361021, China.
Huan Jing Ke Xue. 2020 Aug 8;41(8):3572-3580. doi: 10.13227/j.hjkx.202001067.
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. NO 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.
基于厦门港自动识别系统(AIS)数据和大尺度调查数据集,采用基于活动的方法计算厦门排放控制区(XECA)内每艘航行船舶的排放量,从而获得2018年XECA的空气排放清单。本研究随后分析了污染物的排放特征及时空分布特征。结果表明,2018年XECA内船舶污染物排放总量为16413吨,其中82.2%来自进出港船舶,17.8%来自港外船舶。氮氧化物排放量在所有污染物中最高,占总量的64.2%。比较五种模式的结果,靠泊时排放量最高,其次是巡航模式、减速区模式和操纵模式,最后是停泊模式。此外,分析表明厦门港污染物排放的主要来源是货船,其中集装箱船贡献最大。船舶污染物排放高峰期为09:00至16:00。2月份的排放值是全年最低的,而最高排放值大多出现在3月和5月。在空间分布方面,本研究表明主航道和港口海岸线的排放值最高。