气候变化领域集成服务门户(CCPortal): Emission inventory of ship based on navigation data in Arctic region [基于航行数据的北极地区船舶排放清单]

CCPortal

	Emission inventory of ship based on navigation data in Arctic region [基于航行数据的北极地区船舶排放清单]
	Mou J.-M.; Zhang X.-S.; Yao X.; Li M.-X.
发表日期	2019
ISSN	16711637
起始页码	116
结束页码	124
卷号	19 期号:5
英文摘要	Based on the automatic identification system (AIS), polar ship navigation data were analyzed, and the estimate model of main engine power was established by considering the ice force on the ship. The feasibility and credibility of the main engine power model were verified based on the database of the Lloyd's Register. The dynamic emission model of ship was established by taking account of three navigate states, emission factors and load factors. The navigation data of five ships, including Yongsheng Vessel, ect., which crossing the Arctic region, were selected by the China COSCO Shipping Co., Ltd., and the ship emission estimation model was validated by the fuel consumption method. The emission inventory in the Arctic region was calculated by the emission estimation model, and the temporal and spatial patterns of the emissions were demonstrated on the ArcGIS. Analysis result shows that,among all kinds of ship exhaust emissions in the Arctic region, the CO2 emission is the largest, about 69.7%, followed by NOx and SOx about 13.3% and 12.0%, respectively, and CH4 is the least, only 0.4%. The emission share ratio of container ships is the largest, reaching 29.3%, and the ratio of icebreakers is the second, reaching 28.8%. Container ships and bulk carriers account for 50.4% of exhaust emissions. The emissions of CH4, CO2, CO, HC, NOx, SOx, and PM in the Arctic region are 504.85, 82 545.63, 1 645.90, 562.54, 15 711.47, 14 232.54, and 3 263.15 t, respectively, which is generally consistent with the density of vessel traffic. In 2016, the emissions from bulk carriers, container ships, tankers, and fishing boats were the largest in September, and gradually decreased in October and November, which is more related to the icebound condition. Within a day, the emissions of ro-ro ships, fishing boats, and icebreakers have a peak range from 11:00 to 18:00, which may be caused by their work natures., Editorial Department of Journal of Traffic and Transportation Engineering. All right reserved.
英文关键词	AIS; Arctic navigation; Emission inventory; Icy navigation; Marine main engine power estimation; Marine traffic engineering; Ship exhaust
scopus关键词	Arctic vehicles; Artificial intelligence; Automation; Carbon dioxide; Containers; Engines; Fisheries; Fishing vessels; Highway engineering; Icebreakers; Marine navigation; Meteorological problems; Nitrogen oxides; Waterway transportation; Automatic identification system; Dynamic emission models; Emission estimation model; Emission inventories; Lloyd's registers; Marine main engine; Marine traffic; Temporal and spatial pattern; Navigation systems
来源期刊	Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation Engineering
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/176335
作者单位	School of Navigation, Wuhan University of Technology, Wuhan, Hubei 430063, China; Hubei Key Laboratory of Inland Shipping Technology, Wuhan University of Technology, Wuhan, Hubei 430063, China
推荐引用方式 GB/T 7714	Mou J.-M.,Zhang X.-S.,Yao X.,等. Emission inventory of ship based on navigation data in Arctic region [基于航行数据的北极地区船舶排放清单][J],2019,19(5).
APA	Mou J.-M.,Zhang X.-S.,Yao X.,&Li M.-X..(2019).Emission inventory of ship based on navigation data in Arctic region [基于航行数据的北极地区船舶排放清单].Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation Engineering,19(5).
MLA	Mou J.-M.,et al."Emission inventory of ship based on navigation data in Arctic region [基于航行数据的北极地区船舶排放清单]".Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation Engineering 19.5(2019).