The model of tracing drift targets and its application in the South China Sea

Yang Chen; Shouxian Zhu; Wenjing Zhang; Zirui Zhu; Muxi Bao

doi:10.1007/s13131-021-1943-7

Volume 41 Issue 4

Apr. 2022

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Article Navigation > Acta Oceanologica Sinica > 2022 > 41(4): 109-118

Yang Chen, Shouxian Zhu, Wenjing Zhang, Zirui Zhu, Muxi Bao. The model of tracing drift targets and its application in the South China Sea[J]. Acta Oceanologica Sinica, 2022, 41(4): 109-118. doi: 10.1007/s13131-021-1943-7

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Yang Chen, Shouxian Zhu, Wenjing Zhang, Zirui Zhu, Muxi Bao. The model of tracing drift targets and its application in the South China Sea[J]. Acta Oceanologica Sinica, 2022, 41(4): 109-118. doi: 10.1007/s13131-021-1943-7

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The model of tracing drift targets and its application in the South China Sea

doi: 10.1007/s13131-021-1943-7

Yang Chen^{1, 2},
Shouxian Zhu^{1, 2
,
,},
Wenjing Zhang³,
Zirui Zhu²,
Muxi Bao⁴

1.
Key Laboratory of Marine Hazards Forecasting of Ministry of Natural Resources, Hohai University, Nanjing 210098, China
2.
College of Oceanography, Hohai University, Nanjing 210098, China
3.
College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China
4.
Nanjing Maritime Safety Administration, Nanjing 210009, China

Funds: The National Natural Science Foundation of China under contract Nos 41376012, 41076048 and 41275029.

More Information

Corresponding author: E-mail: zhushouxian@vip.sina.com
Received Date: 2020-11-28
Accepted Date: 2021-07-27

Available Online: 2022-02-14

Publish Date: 2022-04-01

Abstract

Abstract

A Leeway-Trace model was established for the traceability analysis of drifting objects at sea. The model was based on the Leeway model which is a Monte Carlo-based ensemble trajectory model, and a method of realistic traceability analysis was proposed in this study by using virtual spatiotemporal drift trajectory prediction. Here, measured data from a drifting buoy observation experiment in the northern South China Sea in April 2019, combined with surface current data obtained from the finite volume community ocean model (FVCOM), were used for the traceability analysis of humanoid buoys. The results were basically consistent with the observations, and the assimilation of measured current data can significantly improve the accuracy of the traceability analysis. Several sensitive experiments were designed to discuss the effects of wind and tide on the traceability analysis, and their results showed that the wind-driven current and the wind-induced leeway drift are both important to the traceability analysis. The effect of tidal currents on traceability could not be ignored even though they were much weaker than the residual currents in the experimental area of the northern South China Sea.
- South China Sea,
- FVCOM,
- Leeway-Trace model,
- traceability analysis

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References(27)

References

[1]	Abi-Zeid I, Frost J R. 2005. SARPlan: a decision support system for Canadian search and rescue operations. European Journal of Operational Research, 162(3): 630–653. doi: 10.1016/j.ejor.2003.10.029
[2]	Allen A A. 2005. Leeway divergence. Groton, CT: US Coast Guard Research and Development Center
[3]	Allen A A, Plourde J V. 1999. Review of Leeway: Field Experiments and Implementation. Groton, CT: US Coast Guard Research and Development Center
[4]	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. doi: 10.1016/j.jmarsys.2007.02.010
[5]	Breivik Ø, Allen A A, Maisondieu C, et al. 2011. Wind-induced drift of objects at sea: the leeway field method. Applied Ocean Research, 33(2): 100–109. doi: 10.1016/j.apor.2011.01.005
[6]	Breivik Ø, Allen A A, Maisondieu C, et al. 2012. The leeway of shipping containers at different immersion levels. Ocean Dynamics, 62(5): 741–752. doi: 10.1007/s10236-012-0522-z
[7]	Breivik Ø, Allen A A, Maisondieu C, et al. 2013. Advances in search and rescue at sea. Ocean Dynamics, 63(1): 83–88. doi: 10.1007/s10236-012-0581-1
[8]	Brushett B A, Allen A A, King B A, et al. 2017. Application of leeway drift data to predict the drift of panga skiffs: case study of maritime search and rescue in the tropical Pacific. Applied Ocean Research, 67: 109–124. doi: 10.1016/j.apor.2017.07.004
[9]	Chen Bingrui. 2005. A particle-tracing method and its application (in Chinese) [dissertation]. Shanghai: East China Normal University
[10]	Chen Changsheng, Liu Hedong, Beardsley R C. 2003. An unstructured grid, finite-volume, three-dimensional, primitive equations ocean model: application to coastal ocean and estuaries. Journal of Atmospheric and Oceanic Technology, 20(1): 159–186. doi: 10.1175/1520-0426(2003)020<0159:AUGFVT>2.0.CO;2
[11]	Cho K H, Li Y, Wang H, et al. 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 Oceanic Technology, 31(1): 197–215. doi: 10.1175/JTECH-D-13-00097.1
[12]	Chorin A J. 1973. Numerical study of slightly viscous flow. Journal of Fluid Mechanics, 57(4): 785–796. doi: 10.1017/S0022112073002016
[13]	Coppini G, Jansen E, Turrisi G, et al. 2016. A new search-and-rescue service in the Mediterranean Sea: a demonstration of the operational capability and an evaluation of its performance using real case scenarios. Natural Hazards and Earth System Sciences, 16(12): 2713–2727. doi: 10.5194/nhess-16-2713-2016
[14]	Davidson F J M, Allen A, Brassington G B, et al. 2009. Applications of GODAE ocean current forecasts to search and rescue and ship routing. Oceanography, 22(3): 176–181. doi: 10.5670/oceanog.2009.76
[15]	Di Maio A, Martin M V, Sorgente R. 2016. Evaluation of the search and rescue LEEWAY model in the Tyrrhenian Sea: a new point of view. Natural Hazards and Earth System Sciences, 16(8): 1979–1997. doi: 10.5194/nhess-16-1979-2016
[16]	Ding Wenlan. 1986. Distribution of tides and tidal currents in the South China Sea. Oceanologia et Limnologia Sinica, 17(6): 468–480
[17]	Egbert G D, Erofeeva S Y. 2002. Efficient inverse modeling of barotropic ocean tides. Journal of Atmospheric and Oceanic Technology, 19(2): 183–204. doi: 10.1175/1520-0426(2002)019<0183:EIMOBO>2.0.CO;2
[18]	Fraser J M, Arthur Allen, Gary B, et al. 2009. Applications of GODAE ocean current forecasts to search and rescue and ship routing. Oceanography, 22(3): 176–181
[19]	Gao Xiumin, Wei Zexun, Lv Xianqing, et al. 2014. Accuracy assessment of global ocean tide models in the South China Sea. Advances in Marine Science, 32(1): 1–14
[20]	Hackett B, Breivik Ø, Wettre C. 2006. Forecasting the drift of objects and substances in the oceans. In: Chassignet E P, Verron J, eds. Ocean Weather Forecasting: An Integrated View of Oceanography. Dordrecht: Springer, 507–524
[21]	Jiang Hualin, Sun Zhaochen, Li Li, et al. 2011. Determining maritime search area model based on Monte Carlo method. Journal of Waterway and Harbor, 32(4): 285–290
[22]	Ni Zao, Qiu Zhiping, Su T C. 2010. On predicting boat drift for search and rescue. Ocean Engineering, 37(13): 1169–1179. doi: 10.1016/j.oceaneng.2010.05.009
[23]	Richardson P L. 1997. Drifting in the wind: leeway error in shipdrift data. Deep-Sea Research Part I: Oceanographic Research Papers, 44(11): 1877–1903. doi: 10.1016/S0967-0637(97)00059-9
[24]	Xiao Wenjun, Du Panjun, Gong Maoxun, et al. 2013. An operational search and rescue model system for Shanghai coast and adjacent seas. Marine Forecasts, 30(4): 79–86
[25]	Zhang Jinfen, Teixeira Â, Soares C G, et al. 2017. Probabilistic modelling of the drifting trajectory of an object under the effect of wind and current for maritime search and rescue. Ocean Engineering, 129: 253–264. doi: 10.1016/j.oceaneng.2016.11.002
[26]	Zhou Xiao, Cheng Liang, Zhang Fangli, et al. 2019. Integrating island spatial information and integer optimization for locating maritime search and rescue bases: a case study in the South China Sea. ISPRS International Journal of Geo-Information, 8(2): 88. doi: 10.3390/ijgi8020088
[27]	Zhu Kui, Mu Lin, Tu Haiwen. 2019. Exploration of the wind-induced drift characteristics of typical Chinese offshore fishing vessels. Applied Ocean Research, 92: 101916. doi: 10.1016/j.apor.2019.101916