In recent years, with the rapid development of the national marine economy, maritime cargo transportation has continued to increase. In particular, the transportation volume of oil products and hazardous chemicals is increasing rapidly, and the risk of pollution to the water environment caused by ships and related operations is increasing, and marine oil spill accidents occur from time to time. Once a ship spills oil, the oil spilled on the sea migrates and spreads in the ocean as impacted by wind and tidal currents, thereby exerting adverse effects on the surrounding marine environment. As guided by sustainable development strategy, all mankind have developed a consensus of natural ecological protection, and effective prevention and treatment of ship pollution are suggested to show critical significance. Thus, given the development status and historical accidents of a specific water area, this study employs a method based on probability statistics to predict the risk of marine pollution and explore the effective prevention and countermeasures for the pollution. Conducted oil spill risk assessment on Ningbo Guanbao Terminal. Determine the risk value of oil spill accidents in each port area in the area, and provide support for the site selection of the oil spill emergency equipment warehouse in the port waters. The results will be conducive to guiding ship marine oil spill risk management.
Published in | American Journal of Traffic and Transportation Engineering (Volume 6, Issue 2) |
DOI | 10.11648/j.ajtte.20210602.11 |
Page(s) | 34-42 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Marine Pollution, Ships, Risk Assessment, Marine Accident, Risk Management
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APA Style
Hejun Geng, Xiaobin Jiang, Deling Wang, Jie Li. (2021). Prediction and Assessment of Marine Pollution Risk from Ships Based on Statistical Analysis Probability Model. American Journal of Traffic and Transportation Engineering, 6(2), 34-42. https://doi.org/10.11648/j.ajtte.20210602.11
ACS Style
Hejun Geng; Xiaobin Jiang; Deling Wang; Jie Li. Prediction and Assessment of Marine Pollution Risk from Ships Based on Statistical Analysis Probability Model. Am. J. Traffic Transp. Eng. 2021, 6(2), 34-42. doi: 10.11648/j.ajtte.20210602.11
AMA Style
Hejun Geng, Xiaobin Jiang, Deling Wang, Jie Li. Prediction and Assessment of Marine Pollution Risk from Ships Based on Statistical Analysis Probability Model. Am J Traffic Transp Eng. 2021;6(2):34-42. doi: 10.11648/j.ajtte.20210602.11
@article{10.11648/j.ajtte.20210602.11, author = {Hejun Geng and Xiaobin Jiang and Deling Wang and Jie Li}, title = {Prediction and Assessment of Marine Pollution Risk from Ships Based on Statistical Analysis Probability Model}, journal = {American Journal of Traffic and Transportation Engineering}, volume = {6}, number = {2}, pages = {34-42}, doi = {10.11648/j.ajtte.20210602.11}, url = {https://doi.org/10.11648/j.ajtte.20210602.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20210602.11}, abstract = {In recent years, with the rapid development of the national marine economy, maritime cargo transportation has continued to increase. In particular, the transportation volume of oil products and hazardous chemicals is increasing rapidly, and the risk of pollution to the water environment caused by ships and related operations is increasing, and marine oil spill accidents occur from time to time. Once a ship spills oil, the oil spilled on the sea migrates and spreads in the ocean as impacted by wind and tidal currents, thereby exerting adverse effects on the surrounding marine environment. As guided by sustainable development strategy, all mankind have developed a consensus of natural ecological protection, and effective prevention and treatment of ship pollution are suggested to show critical significance. Thus, given the development status and historical accidents of a specific water area, this study employs a method based on probability statistics to predict the risk of marine pollution and explore the effective prevention and countermeasures for the pollution. Conducted oil spill risk assessment on Ningbo Guanbao Terminal. Determine the risk value of oil spill accidents in each port area in the area, and provide support for the site selection of the oil spill emergency equipment warehouse in the port waters. The results will be conducive to guiding ship marine oil spill risk management.}, year = {2021} }
TY - JOUR T1 - Prediction and Assessment of Marine Pollution Risk from Ships Based on Statistical Analysis Probability Model AU - Hejun Geng AU - Xiaobin Jiang AU - Deling Wang AU - Jie Li Y1 - 2021/04/07 PY - 2021 N1 - https://doi.org/10.11648/j.ajtte.20210602.11 DO - 10.11648/j.ajtte.20210602.11 T2 - American Journal of Traffic and Transportation Engineering JF - American Journal of Traffic and Transportation Engineering JO - American Journal of Traffic and Transportation Engineering SP - 34 EP - 42 PB - Science Publishing Group SN - 2578-8604 UR - https://doi.org/10.11648/j.ajtte.20210602.11 AB - In recent years, with the rapid development of the national marine economy, maritime cargo transportation has continued to increase. In particular, the transportation volume of oil products and hazardous chemicals is increasing rapidly, and the risk of pollution to the water environment caused by ships and related operations is increasing, and marine oil spill accidents occur from time to time. Once a ship spills oil, the oil spilled on the sea migrates and spreads in the ocean as impacted by wind and tidal currents, thereby exerting adverse effects on the surrounding marine environment. As guided by sustainable development strategy, all mankind have developed a consensus of natural ecological protection, and effective prevention and treatment of ship pollution are suggested to show critical significance. Thus, given the development status and historical accidents of a specific water area, this study employs a method based on probability statistics to predict the risk of marine pollution and explore the effective prevention and countermeasures for the pollution. Conducted oil spill risk assessment on Ningbo Guanbao Terminal. Determine the risk value of oil spill accidents in each port area in the area, and provide support for the site selection of the oil spill emergency equipment warehouse in the port waters. The results will be conducive to guiding ship marine oil spill risk management. VL - 6 IS - 2 ER -