DOI: 10.1016/j.atmosenv.2015.05.011
Scopus记录号: 2-s2.0-84929304112
论文题名: An AIS-based approach to calculate atmospheric emissions from the UK fishing fleet
作者: Coello J ; , Williams I ; , Hudson D ; A ; , Kemp S
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 114 起始页码: 1
结束页码: 7
语种: 英语
英文关键词: Atmospheric pollution
; Automatic identification systems (AIS)
; Greenhouse gas emissions
; Shipping emissions inventory
; UK fishing fleet
Scopus关键词: Air pollution
; Airships
; Automation
; Carbon dioxide
; Fisheries
; Fleet operations
; Fuels
; Gas emissions
; Greenhouse gases
; Pollution
; Ships
; Atmospheric emission
; Atmospheric pollutants
; Atmospheric pollution
; Automatic identification system
; Emissions inventory
; Fishing fleets
; International maritime organisations
; Shipping emissions
; Fishing vessels
; carbon dioxide
; fossil fuel
; atmospheric plume
; atmospheric pollution
; carbon dioxide
; data set
; dredging
; emission inventory
; European Commission
; fishing industry
; fossil fuel
; greenhouse gas
; industrial emission
; spatiotemporal analysis
; air pollutant
; air pollution
; Article
; automatic identification system
; carbon footprint
; dredging
; fishing
; geographic distribution
; greenhouse gas
; information system
; latitude
; longitude
; methodology
; priority journal
; United Kingdom
; United Kingdom
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: The fishing industry is heavily reliant on the use of fossil fuel and emits large quantities of greenhouse gases and other atmospheric pollutants. Methods used to calculate fishing vessel emissions inventories have traditionally utilised estimates of fuel efficiency per unit of catch. These methods have weaknesses because they do not easily allow temporal and geographical allocation of emissions. A large proportion of fishing and other small commercial vessels are also omitted from global shipping emissions inventories such as the International Maritime Organisation's Greenhouse Gas Studies. This paper demonstrates an activity-based methodology for the production of temporally- and spatially-resolved emissions inventories using data produced by Automatic Identification Systems (AIS). The methodology addresses the issue of how to use AIS data for fleets where not all vessels use AIS technology and how to assign engine load when vessels are towing trawling or dredging gear. The results of this are compared to a fuel-based methodology using publicly available European Commission fisheries data on fuel efficiency and annual catch. The results show relatively good agreement between the two methodologies, with an estimate of 295.7 kilotons of fuel used and 914.4 kilotons of carbon dioxide emitted between May 2012 and May 2013 using the activity-based methodology. Different methods of calculating speed using AIS data are also compared. The results indicate that using the speed data contained directly in the AIS data is preferable to calculating speed from the distance and time interval between consecutive AIS data points. © 2015 The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81673
Appears in Collections: 气候变化事实与影响
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作者单位: Faculty of Engineering and the Environment, University of Southampton, University Road, Highfield, Southampton, Hampshire, United Kingdom
Recommended Citation:
Coello J,, Williams I,, Hudson D,et al. An AIS-based approach to calculate atmospheric emissions from the UK fishing fleet[J]. Atmospheric Environment,2015-01-01,114