

FOLLOWUS
1.Navigation College, Dalian Maritime University, Dalian 116026, China
2.College of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China
yldmu@dlmu.edu.cn
Received:01 December 2023,
Online First:20 May 2024,
Published:01 May 2025
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XIE Ming,QIN Mian,LI Ying,et al.Experimental analysis on the optimal spectral index for the risk assessment of red tide occurrence[J].Journal of Oceanology and Limnology,2025,43(03):735-745.
XIE Ming,QIN Mian,LI Ying,et al.Experimental analysis on the optimal spectral index for the risk assessment of red tide occurrence[J].Journal of Oceanology and Limnology,2025,43(03):735-745. DOI: 10.1007/s00343-024-3256-0.
As a frequently occurred marine pollution phenomenon
red tides of water body due to eutrophication cause massive mortality of marine organisms and serious ecological problems. The early warning and prediction of red tide outbreak can provide guidance to the coastal management
and is of great value to the aquaculture industry and marine environment protection. An approach for the risk assessment of red tide occurrence using spectral indices was made. The optimal spectral indices were explored from three candidates
namely two-band ratio (TBR) method
three-band spectral index (TBSI) method
and fluorescence baseline (FLB) method. The correlations between the spectral indices and the red tide occurrence were quantitatively evaluated through analysis of variance (ANOVA). The risk maps for the Beibu Gulf and the Bohai Bay in China were produced with the normalized spectral indices based on the multi-spectral observation from Sentinel-3 satellite. Results show that both TBR and TBSI values have significant correlations with the occurrences of red tide as the ANOVA results. TBSI illustrated correctly the risk of red tide occurrence in the risk maps and was the optimal spectral index offshore risk assessment of red tide. FLB method failed to recognize the high-risk regions and may not be the appropriate spectral index. The risk assessment method proposed in this study can provide early alarms on red tide occurrence and help timely the countermeasure against potential harms.
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