globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2017.05.028
Scopus记录号: 2-s2.0-85019755027
论文题名:
Spatial and temporal allocation of ship exhaust emissions in Australian coastal waters using AIS data: Analysis and treatment of data gaps
作者: Goldsworthy B
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 163
起始页码: 77
结束页码: 86
语种: 英语
英文关键词: AIS activity data ; Data gaps ; Emissions mapping ; Extensive coastal regions ; Regional inventory ; Ship exhaust emissions
Scopus关键词: Air quality ; Automation ; Cluster analysis ; Geographical regions ; Graph theory ; Interpolation ; Automatic identification system ; Coastal regions ; Data gap ; Distribution of emissions ; Exhaust emission ; Geographical clusters ; Regional inventory ; Spatial and temporal resolutions ; Ships ; air quality ; algorithm ; coastal water ; data set ; exhaust emission ; public health ; ship motion ; spatial distribution ; spatiotemporal analysis ; algorithm ; Article ; Australian ; cluster analysis ; coastal waters ; exhaust gas ; priority journal ; ship ; velocity ; Australia
Scopus学科分类: Environmental Science: Water Science and Technology ; Earth and Planetary Sciences: Earth-Surface Processes ; Environmental Science: Environmental Chemistry
英文摘要: Ship exhaust emissions need to be allocated accurately in both space and time in order to examine many of the associated impacts, including on air quality and health. Data on ship activity from the Automatic Identification System (AIS) allow ship exhaust emissions to be calculated with fine spatial and temporal resolution. However, there are spatial gaps in the coverage afforded by the coastal network of ground stations that are used to collect the AIS data. This paper focuses on the problem of allocating emissions to the coastal gap regions. Allocating emissions to these regions involves generating interpolated ship tracks that both span the gaps and avoid coming too close to land. In most cases, a simple shortest path or straight line interpolation produces tracks that do not overlap or come too close to land. Where the simple method does not produce acceptable results, vessel tracks are steered around land on shortest available paths using a combination of visibility graphs and Dijkstra's algorithm. A geographical cluster analysis is first used to identify the boundary regions of the data gaps. The properties of the data gaps are summarised in terms of the length, duration and speed of the spanning tracks. The interpolation methods are used to improve the spatial distribution of emissions. It is also shown that emissions in the gap regions can contribute substantially to the total ship exhaust emissions in close proximity to highly populated areas. © 2017 Elsevier Ltd
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被引频次[WOS]:16   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82294
Appears in Collections:气候变化事实与影响

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作者单位: National Centre for Ports and Shipping, Australian Maritime College, University of Tasmania, Locked Bag 1397, Launceston, TAS, Australia

Recommended Citation:
Goldsworthy B. Spatial and temporal allocation of ship exhaust emissions in Australian coastal waters using AIS data: Analysis and treatment of data gaps[J]. Atmospheric Environment,2017-01-01,163
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