title: An AIS-based high-resolution ship emission inventory and its uncertainty in Pearl River Delta region, China.
abstract: Ship emissions contribute significantly to air pollution and impose health risks to residents along the coastal area. By using the refined data from the Automatic Identification System (AIS), this study developed a highly resolved ship emission inventory for the Pearl River Delta (PRD) region, China, home to three of ten busiest ports in the world. The region-wide SO2, NOX, CO, PM10, PM2.5, and VOC emissions in 2013 were estimated to be 61,484, 103,717, 10,599, 7155, 6605, and 4195t, respectively. Ocean going vessels were the largest contributors of the total emissions, followed by coastal vessels and river vessels. In terms of ship type, container ship was the leading contributor, followed by conventional cargo ship, dry bulk carrier, fishing ship, and oil tanker. These five ship types accounted for >90% of total emissions. The spatial distributions of emissions revealed that the key emission hot spots all concentrated within the newly proposed emission control area (ECA) and ship emissions within ECA covered >80% of total ship emissions in the PRD, highlighting the importance of ECA in emissions reduction in the PRD. The uncertainties of emission estimates of pollutants were quantified, with lower bounds of -24.5% to -21.2% and upper bounds of 28.6% to 33.3% at 95% confidence intervals. The lower uncertainties in this study highlighted the powerfulness of AIS data in improving ship emission estimates. The AIS-based bottom-up methodology can be used for developing and upgrading ship emission inventory and formulating effective control measures on ship emissions in other port regions wherever possible.
authors.affiliation: School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
authors.forename: Cheng
authors.initials: C
authors.lastname: Li
authors.affiliation: School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
authors.forename: Zibing
authors.initials: Z
authors.lastname: Yuan
authors.affiliation: School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
authors.forename: Jiamin
authors.initials: J
authors.lastname: Ou
authors.affiliation: School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
authors.forename: Xiaoli
authors.initials: X
authors.lastname: Fan
authors.affiliation: Guangdong Environmental Monitoring Center, Modiesha Street, Haizhu District, Guangzhou, 510308, China.
authors.forename: Siqi
authors.initials: S
authors.lastname: Ye
authors.affiliation: School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
authors.forename: Teng
authors.initials: T
authors.lastname: Xiao
authors.affiliation: School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
authors.forename: Yuqi
authors.initials: Y
authors.lastname: Shi
authors.affiliation: School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
authors.forename: Zhijiong
authors.initials: Z
authors.lastname: Huang
authors.affiliation: Civic Exchange, 23/F, Chun Wo Commercial Centre, 23-29 Wing Wo Street, Central, Hong Kong.
authors.forename: Simon K W
authors.initials: SKW
authors.lastname: Ng
authors.affiliation: School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
authors.forename: Zhuangmin
authors.initials: Z
authors.lastname: Zhong
authors.affiliation: School of Environment and Energy, South China University of Technology, Guangzhou 510006, China. Electronic address: zheng.junyu@gmail.com.
authors.forename: Junyu
authors.initials: J
authors.lastname: Zheng
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D002681:China; D004784:Environmental Monitoring / Q000379:methods*; D010316:Particle Size; D052638:Particulate Matter / Q000032:analysis*; D045483:Rivers; D012767:Ships; D001335:Vehicle Emissions / Q000032:analysis*
chemical_list: D000393:Air Pollutants; D052638:Particulate Matter; D001335:Vehicle Emissions
keywords: Automatic identification system; Emission control area; Pearl River Delta; Ship emission inventory; Spatiotemporal characteristics