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Gan, L, Lu, T and Shu, Y (2023) Diffusion and Superposition of Ship Exhaust Gas in Port Area Based on Gaussian Puff Model: A Case Study on Shenzhen Port. Journal of Marine Science and Engineering, 11 (2).
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Diffusion and Superposition of Ship Exhaust Gas in Port Area Based on Gaussian Puff Model A Case Study on Shenzhen Port.pdf - Published Version Available under License Creative Commons Attribution. Download (11MB) | Preview |
Abstract
Ship exhaust gas has become an essential source of air pollution in recent years. To assess the impact of ship exhaust gas on the atmospheric environment and human health, this paper studies the problem of ship exhaust gas diffusion in the port area. According to automatic identification system (AIS) data, ship exhaust gas is estimated based on the bottom-up method, and the result of emission calculation is entered into a Gaussian puff model to calculate the superposition of the diffusion of gaseous pollutants from multiple ships. In addition, the results of a case study of the diffusion of ship exhaust gas in the western area of Shenzhen Port in China show that the distribution of the NO2 concentration in the studied area is not stable, the diffusion of exhaust gas from multiple ships mainly affects some areas near large ship berths at night, and there is a small impact on the whole study area. This lays a foundation for monitoring and treating the atmospheric environment in the port area.
| Item Type: | Article |
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| Uncontrolled Keywords: | 4015 Maritime Engineering; 40 Engineering; 0405 Oceanography; 0704 Fisheries Sciences; 0911 Maritime Engineering; 3005 Fisheries sciences; 3709 Physical geography and environmental geoscience; 4015 Maritime engineering |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering |
| Divisions: | Engineering |
| Publisher: | MDPI |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 24 Mar 2025 17:46 |
| Last Modified: | 24 Mar 2025 18:00 |
| DOI or ID number: | 10.3390/jmse11020330 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/25982 |
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