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Updated: Jul 12, 2026

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从表面海洋参数中获取地下溶解氧的数据,基于机器学习

Bo Ping1, Yunshan Meng2, Fenzhen Su3

  • 1School of Earth System Science, Institute of Surface-Earth System Science, Tianjin University, Tianjin, 300072, China.

Marine environmental research
|June 5, 2024
PubMed
概括

机器学习,特别是随机森林,使用表面数据有效估计地下海洋溶解氧 (DO). 海洋表面温度是关键预测因素,在DO检索中表现优于盐度和叶绿素a.

关键词:
叶绿素-a度 (-a) 在溶解的氧气 (DO) 是一种机器学习 (ML) 是指机器学习.海面盐度 (SSS) 是指海洋表面的盐度.海洋表面的温度 (SST)

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