The influence of Stokes drift on oil spills: <i>Sanchi</i> oil spill case

Yiqiu Yang; Yan Li; Juan Li; Jingui Liu; Zhiyi Gao; Kaixuan Guo; Han Yu

doi:10.1007/s13131-021-1889-9

Volume 40 Issue 10

Oct. 2021

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Yiqiu Yang, Yan Li, Juan Li, Jingui Liu, Zhiyi Gao, Kaixuan Guo, Han Yu. The influence of Stokes drift on oil spills: Sanchi oil spill case[J]. Acta Oceanologica Sinica, 2021, 40(10): 30-37. doi: 10.1007/s13131-021-1889-9

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Yiqiu Yang, Yan Li, Juan Li, Jingui Liu, Zhiyi Gao, Kaixuan Guo, Han Yu. The influence of Stokes drift on oil spills: Sanchi oil spill case[J]. Acta Oceanologica Sinica, 2021, 40(10): 30-37. doi: 10.1007/s13131-021-1889-9

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The influence of Stokes drift on oil spills: Sanchi oil spill case

doi: 10.1007/s13131-021-1889-9

Yiqiu Yang^{1, 2},
Yan Li^{1, 3
,
,},
Juan Li⁴,
Jingui Liu¹,
Zhiyi Gao¹,
Kaixuan Guo¹,
Han Yu¹

1.
Marine Environmental Forecasting Division, National Marine Environmental Forecasting Center, Ministry of Natural Resources, Beijing 100081, China
2.
Key Laboratory of Marine Environmental Survey Technology and Application, Ministry of Natural Resources, Guangzhou 510310, China
3.
Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecasting Center, Ministry of Natural Resources, Beijing 100081, China
4.
College of Ocean Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China

Funds: The National Natural Science Foundation of China under contract Nos 41976018 and 42006021; the Guangdong Province Key Area Research and Development Program under contract No. 2020B1111020003; the Key Laboratory of Marine Environmental Survey Technology and Application Open Research Program under contract No. MESTA-2020-B012; the Guangdong Key Laboratory of Ocean Remote Sensing Open Research Program “Based on muti-source analysis and remote sensing retrieval to study Sargassum bloom trend prediction in the East China Sea and Yellow Sea” under contract No. 2017B030301005-LORS2011.

More Information

Corresponding author: E-mail: 24716721@qq.com
Received Date: 2021-05-24
Accepted Date: 2021-08-16

Available Online: 2021-09-15

Publish Date: 2021-10-25

Abstract

Abstract

Spilled oil floats and travels across the water’s surface under the influence of wind, currents, and wave action. Wave-induced Stokes drift is an important physical process that can affect surface water particles but that is currently absent from oil spill analyses. In this study, two methods are applied to determine the velocity of Stokes drift, the first calculates velocity from the wind-related formula based upon a one-dimensional frequency spectrum, while the second determines velocity directly from the wave model that was based on a two-dimensional spectrum. The experimental results of numerous models indicated that: (1) oil simulations that include the influence of Stokes drift are more accurate than that those do not; (2) for medium and long-term simulations longer than two days or more, Stokes drift is a significant factor that should not be ignored, and its magnitude can reach about 2% of the wind speed; (3) the velocity of Stokes drift is related to the wind but is not linear. Therefore, Stokes drift cannot simply be replaced or substituted by simply increasing the wind drift factor, which can cause errors in oil spill projections; (4) the Stokes drift velocity obtained from the two-dimensional wave spectrum makes the oil spill simulation more accurate.
- Stokes drift,
- oil spill model,
- wind,
- wave spectrum

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References(31)

References

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