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Updated: Feb 12, 2026

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机器学习预测盐水入侵,以支持沿海水资源管理

Jian Shen1, Xun Cai2, Qubin Qin3

  • 1Virginia Institute of Marine Science, William & Mary, Gloucester Point, VA, 23062, USA.

Journal of environmental management
|February 10, 2026
PubMed
概括

机器学习模型准确地预测了切萨皮克湾的盐水侵入 (SWI),为传统方法提供了更快的替代方案. 这一进步有助于河口管理和气候变化适应战略.

关键词:
逆向预测可以预测.切萨皮克湾 (Chesapeake Bay) 是一个海湾.气候变化 气候变化 气候变化机器学习模型机器学习模型盐水的入侵 盐水的入侵水资源 水资源 水资源

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