期刊
ENVIRONMENTAL SCIENCE & TECHNOLOGY
卷 47, 期 4, 页码 1792-1799出版社
AMER CHEMICAL SOC
DOI: 10.1021/es303634f
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资金
- European Regional Development Fund
- Central Baltic INTERREG IV A Programme
- Regional Council of Kymenlaakso
- City of Kotka
- Kotka-Hamina Regional Development Company Cursor
- Centre for Economic Development, Transport and the Environment of Southwest Finland (VARELY)
- Port of Hamina
- Finstaship
- Machine Technology Center Turku Ltd
- Kotka Maritime Research Centre
- Kymenlaakso University of Applied Sciences
- Swedish Meteorological and Hydrological Institute
- Finnish Environment Institute
- Tallinn University of Technology
- University of Tartu
Oil transport has greatly increased in the Gulf of Finland over the years, and risks of an oil accident occurring have risen. Thus, an effective oil combating strategy is needed. We developed a Bayesian Network (BN) to examine the recovery efficiency and optimal disposition of the Finnish oil combating vessels in the Gulf of Finland (GoF), Eastern Baltic Sea. Four alternative home harbors, five accident points, and ten oil combating vessels were included in the model to find the optimal disposition policy that would maximize the recovery efficiency. With this composition, the placement of the oil combating vessels seems not to have a significant effect on the recovery efficiency. The process seems to be strongly controlled by certain random factors independent of human action, e.g. wave height and stranding time of the oil. Therefore, the success of oil combating is rather uncertain, so it is also important to develop activities that aim for preventing accidents. We found that the model developed is suitable for this type of multidecision optimization. The methodology, results, and practices are further discussed.
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