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Updated: Apr 28, 2026

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
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Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information

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通过可解释的机器学习,探索迪安基湖中藻类细胞密度的时空模式

Yiwen Tao1, Jingli Ren2, Huaiping Zhu3

  • 1School of Mathematics and Statistics, Zhengzhou University, Zhengzhou, 450001, Henan, China; Archaeology Innovation Center, Zhengzhou University, Zhengzhou, 450001, Henan, China.

Environmental pollution (Barking, Essex : 1987)
|June 20, 2024
PubMed
概括

使用水质和天气数据预测迪安基湖的藻类繁殖,揭示了关键驱动因素. 堆叠弹性网模型准确预测了藻类密度 (AD),提供了具有成本效益的管理策略.

关键词:
藻类细胞密度 藻类细胞密度可解释的机器学习气象因素是气象因素.空间时间异质性 空间时间异质性水的质量 水的质量

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相关概念视频

Freshwater Microbial Ecology01:24

Freshwater Microbial Ecology

Freshwater systems such as streams, rivers, and lakes exhibit distinct physical and biological characteristics that influence their microbial communities. These environments are broadly categorized into lotic systems—those with flowing waters like streams and most rivers—and lentic systems, which include still or slow-moving waters such as lakes, ponds, and marshes.In lentic systems, phytoplankton drive primary production, generating autochthonous organic carbon. In contrast, lotic...
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