DOI: 10.1016/j.atmosenv.2017.07.021
Scopus记录号: 2-s2.0-85026375612
论文题名: Ship emission inventory and its impact on the PM2.5 air pollution in Qingdao Port, North China
作者: Chen D ; , Wang X ; , Nelson P ; , Li Y ; , Zhao N ; , Zhao Y ; , Lang J ; , Zhou Y ; , Guo X
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 166 起始页码: 351
结束页码: 361
语种: 英语
英文关键词: PM2.5 concentrations
; Qingdao Port
; Ship emissions
; Source apportionment
; WRF/Chem
Scopus关键词: Air quality
; Automation
; Fisheries
; Fishing vessels
; Oil tankers
; Particles (particulate matter)
; Transportation routes
; Water pollution
; Weather forecasting
; PM2.5 concentration
; Qingdao
; Ship emissions
; Source apportionment
; WRF/Chem
; Ships
; air quality
; ambient air
; anthropogenic source
; atmospheric modeling
; atmospheric pollution
; bottom-up approach
; concentration (composition)
; emission control
; emission inventory
; environmental impact
; inorganic compound
; particulate matter
; port
; seasonal variation
; shipping
; source apportionment
; traffic emission
; vessel
; air pollution
; air quality
; Article
; autumn
; China
; concentration (parameters)
; container
; priority journal
; seasonal variation
; ship
; spatial analysis
; spring
; summer
; volume
; weather
; winter
; China
; Qingdao
; Shandong
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: In this study, a first high temporal-spatial ship emission inventory in Qingdao Port and its adjacent waters has been developed using a “bottom-up” method based on Automatic Identification System (AIS) data. The total estimated ship emissions for SO2, NOX, PM10, PM2.5, HC and CO in 2014 are 3.32 × 104, 4.29 × 104, 4.54 × 103, 4.18 × 103, 1.85 × 103 and 3.66 × 103 tonnes, respectively. Emissions of SO2 and NOX from ships account for 9% and 13% of the anthropogenic totals in Qingdao, respectively. The main contributors to the ship emissions are containers, followed by fishing ships, oil tankers and bulk carriers. The inter-monthly ship emissions varied significantly due to two reasons: stopping of the fishing ship activities during the fishing moratorium and the reduction of freight volume around the Chinese New Year Festival. Emissions from transport vessels concentrated basically along the shipping routes, while fishing ships contributed to massive irregular spatial emissions in the sea. The impact of ship emissions on the ambient air quality was further investigated using the Weather Research and Forecasting with Chemistry (WRF/Chem) model. The results reveal that the contribution of ship emissions to the PM2.5 concentrations in Qingdao is the highest in summer (13.1%) and the lowest in winter (1.5%). The impact was more evident over densely populated urban areas, where the contributions from ship emissions could be over 20% in July due to their close range to the docks. These results indicated that the management and control of the ship emissions are highly demanded considering their remarkable influence on the air quality and potential negative effects on human health. © 2017 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82373
Appears in Collections: 气候变化事实与影响
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作者单位: Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing, China; Department of Environmental Sciences, Faculty of Science and Engineering, Macquarie UniversityNSW, Australia; Transport Planning and Research Institute, Ministry of Transport, Beijing, China
Recommended Citation:
Chen D,, Wang X,, Nelson P,et al. Ship emission inventory and its impact on the PM2.5 air pollution in Qingdao Port, North China[J]. Atmospheric Environment,2017-01-01,166