Опубликована: Янв. 1, 2024
Язык: Английский
Energy, Год журнала: 2024, Номер unknown, С. 133187 - 133187
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
12
Marine Pollution Bulletin, Год журнала: 2025, Номер 212, С. 117507 - 117507
Опубликована: Янв. 6, 2025
Язык: Английский
Процитировано
1
Journal of Marine Science and Engineering, Год журнала: 2025, Номер 13(1), С. 168 - 168
Опубликована: Янв. 18, 2025
Quantifying and estimating shipping emissions is a critical component of global emission reduction research has become growing area interest in recent years. However, from short-distance passenger ships operating on inter-island routes their environmental impacts have received limited attention. This contribution investigated the temporal spatial distribution characteristics pollutants emitted by at Zhoushan (China) using Automatic Identification System (AIS) data bottom–up model integrated with multi-source meteorological data. A year-long inventory was investigated. The results indicated that high-speed contributed to largest share emissions. were predominantly concentrated during daytime hours, between Island Daishan, Daishan Shengsi, Liuheng accounting for most Furthermore, intra-port waterways identified as primary areas ships. study provides essential support references relevant authorities understand patterns ships, thereby facilitating formulation targeted strategies maritime transport sector.
Язык: Английский
Процитировано
1
Earth system science data, Год журнала: 2025, Номер 17(1), С. 277 - 292
Опубликована: Янв. 28, 2025
Abstract. The high-resolution ship emission inventory serves as a crucial dataset for various disciplines including atmospheric science, marine and environmental management. Here, we present global high-spatiotemporal-resolution at resolution of 0.1° × the years 2013 2016–2021, generated by state-of-the-art Shipping Emission Inventory Model (SEIMv2.2). Initially, annual 30 billion Automatic Identification System (AIS) data underwent extensive cleaning to ensure validity accuracy in temporal spatial distribution. Subsequently, integrating real-time vessel positions speeds from AIS with static technical parameters, factors, other computational SEIM simulated emissions on ship-by-ship, signal-by-signal basis. Finally, results were aggregated analyzed. In 2021, activity established based covered 109 300 vessels globally (101 400 reported United Nations Conference Trade Development). Concerning major air pollutants greenhouse gases, ships emitted 847.2×106 t CO2, 2.3×106 SO2, 16.1×106 NOx, 791.2 kt CO, 737.3 HC (hydrocarbon), 415.5 primary PM2.5, 61.6 BC (black carbon), 210.3 CH4, 45.1 N2O accounting 3.2 % 14.2 2.3 CO2 all anthropogenic sources, Community Emissions Data (CEDS). Due implementation fuel-switching policies, SO2 PM2.5 saw significant reduction 81.3 76.5 2021 compared 2019, respectively. According results, composition types contributing remained relatively stable through years, container consistently ∼ emissions. Regarding age distribution, contribution built before 2000 (without Tier standards) has been declining, dropping 10.2 suggesting that even complete phase-out these would have limited potential reducing NOx short term. On hand, after 2016 (meeting III standard) kept increasing, reaching 13.3 2021. Temporally, exhibited minimal daily fluctuations. Spatially, characteristics different delineated. Patterns contributions vary among maritime regions, predominant North South Pacific, bulk carriers Atlantic, oil tankers prevalent Arabian Sea. distribution intensity also significantly across regions. Our dataset, which is accessible https://doi.org/10.5281/zenodo.10869014 (Wen et al., 2024), provides breakdown type age; it available broad research purposes, will provide solid foundation fine-scale scientific shipping mitigation.
Язык: Английский
Процитировано
1
Marine Pollution Bulletin, Год журнала: 2024, Номер 209, С. 117165 - 117165
Опубликована: Окт. 18, 2024
Язык: Английский
Процитировано
5
Transportation Research Part E Logistics and Transportation Review, Год журнала: 2025, Номер 199, С. 104159 - 104159
Опубликована: Май 2, 2025
Язык: Английский
Процитировано
0
Marine Pollution Bulletin, Год журнала: 2025, Номер 218, С. 118151 - 118151
Опубликована: Май 19, 2025
Язык: Английский
Процитировано
0
Ocean Engineering, Год журнала: 2025, Номер 334, С. 121598 - 121598
Опубликована: Май 22, 2025
Язык: Английский
Процитировано
0
The Science of The Total Environment, Год журнала: 2024, Номер 945, С. 173714 - 173714
Опубликована: Июнь 11, 2024
Shipping contributes to air pollution causing adverse health effects. We conducted for the first time a systematic review on and economic impacts of ambient from shipping emissions. performed search in PubMed, Web Science, EBSCO (Medline), Scopus all up December 2023. then inter-compared semi-quantitatively results included eligible studies. identified 23 studies, 22 applying impact assessment, 1 using epidemiological methods. These studies used different methods evaluation emissions, dispersion, exposure, exposure-mortality risk functions exposure emissions 1–2 years. The estimated excess global all-cause mortality six ranged between 5 deaths per 100,000 person-years. However, heterogeneity critical gaps reporting seriously limited synthesis evidence effects Sufficient spatial temporal resolutions both dispersion modeling, as well presentation uncertainties is needed. Health assessment should present with main population attributable risks, magnitude effect be expressed number given person-time or size. Economic also cover work productivity, mental well-being, cognitive functions. recommend that future properly evaluate report uncertainty ranges confidence limits results. Rigorous are needed multipollutant exposures, exposures various source categories, attributed particulate matter measures. Studies measures format facilitates straightforward inter-study comparisons. Further research specifically grid spacings whether these optimal task.
Язык: Английский
Процитировано
3
Frontiers in Marine Science, Год журнала: 2024, Номер 11
Опубликована: Июль 9, 2024
Fishing vessels are important contributors to global emissions in terms of greenhouse gases and air pollutants. However, few studies have addressed the from fishing on grounds. In this study, a framework for estimating vessel emissions, using bottom-up dynamic method based big data Beidou VMS (vessel monitoring system) vessels, is proposed applied survey East China Sea. The results study established one-year emission inventory This was first use estimate area, will help support management their carbon emissions.
Язык: Английский
Процитировано
3