沿

Wenzhao Liang1, Tongcun Liu2, Yuntao Wang3

  • 1Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Hong Kong, China; Department of Earth Sciences, The University of Hong Kong, Hong Kong, China.

PubMed
概括

这项研究开发了一种机器学习模型来预测沿海缺氧,通过考虑时空因素来改善溶解氧 (DO) 预测. 水力动力学和酸盐水平是关键驱动因素,人类活动可能会加剧缺氧.