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Author:

Yi, Wen (Yi, Wen.) | He, Tingkun (He, Tingkun.) | Wang, Xiaotong (Wang, Xiaotong.) | Soo, Yu Han (Soo, Yu Han.) | Luo, Zhenyu (Luo, Zhenyu.) | Xie, Yongshun (Xie, Yongshun.) | Peng, Xin (Peng, Xin.) | Zhang, Weiwei (Zhang, Weiwei.) | Wang, Yongyue (Wang, Yongyue.) | Lv, Zhaofeng (Lv, Zhaofeng.) | He, Kebin (He, Kebin.) | Liu, Huan (Liu, Huan.)

Indexed by:

EI Scopus

Abstract:

The COVID-19 pandemic and the International Maritime Organization's (IMO) 2020 fuel-switching policy have profoundly impacted global maritime activities, leading to unprecedented changes in shipping emissions. This study aimed to examine the effects from different scales and investigate the underlying drivers. The big data model Ship Emission Inventory Model (SEIM) was updated and applied to analyze the spatiotemporal pattern of global ship emissions as well as the main contributors in 2019 and 2020. Overall, ships emitted NOx, CO, HC, CO2, and N2O declined by 7.4 %–13.8 %, while SO2, PM2.5, and BC declined by 40.9 %–81.9 % in 2020 compared with 2019. The decline in CO2 emissions indicated a comparable reduction across vessel tonnages. Ship emissions occurring at cruising status accounted for over 90 % of the ship's CO2 emission reduction. Container ships, chemical tankers, and Ro-Ro vessels were the primary contributors to the emission reductions, with container ships alone responsible for 39.4 % of the CO2 decrease. The ship's CO2 emissions variations revealed the decline-rebound patterns in response to the pandemic. Asian-related routes saw emissions drop in February 2020, followed by a rebound in May, while European and American routes experienced declines starting in May, with a recovery in August. Further analysis of CO2 emission in Exclusive Economic Zones (EEZs) showed high temporal consistency between vessel CO2 emissions, sailing speeds, and international trade volumes across continents, and exhibited heterogeneity in main contributing ship type of emission reduction on continental scale. Our study reveals the short-term fluctuation characteristics of global ship emissions during the pandemic, particularly focusing on their spatiotemporal evolution and the inherent disparities. The results highlight the correlation between global ship emissions and trade, as well as the operational status of ships, and their rigidity. © 2024 Elsevier B.V.

Keyword:

Low emission

Author Community:

  • [ 1 ] [Yi, Wen]State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing; 100084, China
  • [ 2 ] [He, Tingkun]State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing; 100084, China
  • [ 3 ] [Wang, Xiaotong]Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Soo, Yu Han]State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing; 100084, China
  • [ 5 ] [Luo, Zhenyu]State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing; 100084, China
  • [ 6 ] [Xie, Yongshun]State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing; 100084, China
  • [ 7 ] [Peng, Xin]State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing; 100084, China
  • [ 8 ] [Zhang, Weiwei]State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing; 100084, China
  • [ 9 ] [Wang, Yongyue]State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing; 100084, China
  • [ 10 ] [Lv, Zhaofeng]State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing; 100084, China
  • [ 11 ] [He, Kebin]State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing; 100084, China
  • [ 12 ] [Liu, Huan]State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing; 100084, China

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Source :

Science of the Total Environment

ISSN: 0048-9697

Year: 2024

Volume: 954

9 . 8 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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