Prediction of UIva prolifera drift and transportation based on remote sensing data and numerical models: A case study in the offshore area of Jiangsu Province

LIN Lianjie; DONG Changming; JI Yuxiang; LIM KAM SIAN Kenny Thiam Choy; LI Zhaoxin; JIANG Xingliang; CAO Yuhan; GAO Hui; WANG Shengqiang; CAO Qian

doi:10.3969/j.issn.1001-909X.2024.01.007

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Journal of Marine Sciences ›› 2024, Vol. 42 ›› Issue (1) : 69-82. DOI: 10.3969/j.issn.1001-909X.2024.01.007

Prediction of UIva prolifera drift and transportation based on remote sensing data and numerical models: A case study in the offshore area of Jiangsu Province

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Abstract

UIva prolifera outbreak is one of the most serious marine disasters affecting the global offshore waters, which has attracted the attention of all sectors of society. According to the location of UIva prolifera extracted from satellite data, the Lagrangian drift model was used to track and predict the drift path of UIva prolifera based on the sea-air-wave set model. Compared with satellite observation, this prediction model can better predict the position, distribution and drift transport of UIva prolifera. In addition, this study also discussed the impact of Stokes Drift on the model prediction. The results show that adding Stokes Drift can correct the drift path of UIva prolifera and effectively improve the accuracy of prediction.

Key words

UIva prolifera / model forecast / Stokes Drift / Jiangsu offshore

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LIN Lianjie , DONG Changming , JI Yuxiang , et al . Prediction of UIva prolifera drift and transportation based on remote sensing data and numerical models: A case study in the offshore area of Jiangsu Province[J]. Journal of Marine Sciences. 2024, 42(1): 69-82 https://doi.org/10.3969/j.issn.1001-909X.2024.01.007

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