지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2023.8
- 수록면
- 145 - 157 (13page)
이용수
초록· 키워드
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Due to a recent increase in maritime activities in South Korea, the frequency of maritime distress is escalating and poses a significant threat to lives and property. The aim of this study was to validate a drift trajectory prediction technique to help mitigate the damages caused by maritime distress incidents. In this study, OpenDrift was verified using satellite drifter data from the Korea Hydrographic and Oceanographic Agency. OpenDrift is a Monte-Carlo-based Lagrangian trajectory modeling framework that allows for considering leeway, an important factor in predicting the movement of floating marine objects. The simulation results showed no significant differences in the performance of drift trajectory prediction when considering leeway using four evaluation methods (normalized cumulative Lagrangian separation, root mean squared error, mean absolute error, and Euclidean distance). However, leeway improved the performance in an analysis of location prediction conformance for maritime search and rescue operations. Therefore, the findings of this study suggest that it is important to consider leeway in drift trajectory prediction for effective maritime search and rescue operations. The results could help with future research on drift trajectory prediction of various floating objects, including marine debris, satellite drifters, and sea ice.
목차
ABSTRACT
1. Introduction
2. Drifter Trajectory Prediction
3. Validation of Simulation Results
4. Analysis Results
5. Conclusions
References
참고문헌 (24)
참고문헌 신청
Allen, A., & Plourde, J. V. (1999). Review of leeway: Field experiments and implementation (Report No. CG-D-08-99). U.S. Coast Guard Research and Development Center. https://apps.dtic.mil/sti/pdfs/ADA366414.pdf
Breivik, Ø., & Allen, A. A. (2008). An operational search and rescue model for the Norwegian Sea and the North Sea. Journal of Marine Systems, 69(1–2), 99–113. https://doi.org/10.1016/j.jmarsys.2007.02.010
Centurioni, L., Horányi, A., Cardinali, C., Charpentier, E., & Lumpkin, R. (2017). A global ocean observing system for measuring sea level atmospheric pressure: Effects and impacts on numerical weather prediction. Bulletin of the American Meteorological S
Cho, K. -H., Li, Y., Wang, H., Park, K. -S., Choi, J. -Y., Shin, K. -I., & Kwon, J. -I. (2014). Development and validation of an operational search and rescue modeling system for the Yellow Sea and the East and South China Seas. Journal of Atmospheric and
Dagestad, K. -F., Röhrs, J., Breivik, Ø., & Ådlandsvik, B. (2018). OpenDrift v1.0: A generic framework for trajectory modelling. Geoscientific Model Development, 11(4), 1405–1420. https://doi.org/10.5194/gmd-11-1405-2018
Breivik, Ø., & Allen, A. A. (2008). An operational search and rescue model for the Norwegian Sea and the North Sea. Journal of Marine Systems, 69(1–2), 99–113. https://doi.org/10.1016/j.jmarsys.2007.02.010
Centurioni, L., Horányi, A., Cardinali, C., Charpentier, E., & Lumpkin, R. (2017). A global ocean observing system for measuring sea level atmospheric pressure: Effects and impacts on numerical weather prediction. Bulletin of the American Meteorological S
Cho, K. -H., Li, Y., Wang, H., Park, K. -S., Choi, J. -Y., Shin, K. -I., & Kwon, J. -I. (2014). Development and validation of an operational search and rescue modeling system for the Yellow Sea and the East and South China Seas. Journal of Atmospheric and
Dagestad, K. -F., Röhrs, J., Breivik, Ø., & Ådlandsvik, B. (2018). OpenDrift v1.0: A generic framework for trajectory modelling. Geoscientific Model Development, 11(4), 1405–1420. https://doi.org/10.5194/gmd-11-1405-2018
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