AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Journal of Ocean University of China Article
Article Link
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline

Interpretable Machine Learning-Based Spring Algal Bloom Forecast Model for the Coastal Waters of Zhejiang

Guoqiang HUANG1, Min BAO1,3( ), Zhao ZHANG2,4( ), Dongming GU2,4, Liansong LIANG2,4, Bangyi TAO1
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resource, Hangzhou 310012, China
Wenzhou Marine Center, Ministry of Natural Resources, Wenzhou 325000, China
Observation and Research Station of Yangtze River Delta Marine Ecosystems, Ministry of Natural Resources, Zhoushan 316000, China
Key Laboratory of Marine Ecological Monitoring and Restoration Technologies, Ministry of Natural Resource, Shanghai 201206, China
Show Author Information

References

【1】
【1】
 
 
Crossref Google Scholar
Journal of Ocean University of China
Volume 24 Issue 1,
February 2025
Pages 1-12
DOI: 10.1007/s11802-025-5833-z

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Cite this Report
Close
Close
Cite this article:
HUANG G, BAO M, ZHANG Z, et al. Interpretable Machine Learning-Based Spring Algal Bloom Forecast Model for the Coastal Waters of Zhejiang. Journal of Ocean University of China, 2025, 24(1): 1-12. https://doi.org/10.1007/s11802-025-5833-z

849

Views

5

Crossref

3

Scopus
Received: 07 November 2023
Revised: 09 January 2024
Accepted: 01 March 2024
Published: 06 February 2025
© Ocean University of China 2025