A sampling method for calculating regional ship emission inventories. (December 2020)

• Record Type: Journal Article
• Authors: Peng, Xin; Wen, Yuanqiao; Wu, Lichuan; Xiao, Changshi; Zhou, Chunhui; Han, Dong
• Is Part Of: Transportation research. Volume 89(2020)
• Publication Date: 2020-12
• Subjects: Ship exhaust emission -- Sampling statistic -- Ocean environment -- Missing static data; Transportation -- Research -- Periodicals; Transportation -- Environmental aspects -- Periodicals; 354.76
• DOI: 10.1016/j.trd.2020.102617
• Languages: English
• ISSNs: 1361-9209

Abstract

Highlights: A sampling method is proposed to reduce the missing data impact on ship emission inventory. The calculation of ship emissions is sensitive to the temporal resolution of AIS data. Estimating all ship emissions in the Yangtze River provide scientific base to make regulations for limiting ship emissions. Abstract: In this study, we propose a sampling method for calculating ship exhaust emission inventories, which reduces the uncertainties induced by missing ship static data in traditional methods. The stratified random sampling method is utilized to take sample ships based on the ship density, ship type, and main engine power. The exhaust emissions from sample ship are calculated using an activity-based method with 1 s temporal resolution AIS (Automatic Identification System) data. Then the regional ship exhaust emissions are estimated based on the sampling relationship. Sensitivity experiments show that the relative error of the proposed method decreases quickly with the sampling ratio (the ratio between the number of sampled ships and total ships) and it is less than 3.5% when the sampling ratio is higher than 10%. The method is used to estimate the inventories of ship exhaust emissions in the Yangtze river, which can improve the computational accuracy of ship emissions.