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Updated: Jan 27, 2026

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基于表面变量的机器学习,用于在未采样区域进行可扩展的预测

Shams Azad1,2, Mason O Stahl3, Melinda Erickson4

  • 1Columbia Climate School of Columbia University New York NY USA.

GeoHealth
|January 26, 2026
PubMed
概括

许多拥有私人井的美国家庭不知道风险. 这项研究开发了一种机器学习模型,预测 (As) 暴露,指导针对性测试和在服务不足的社区放置井.

关键词:
饮用水 饮用水 饮用水风险暴露 风险暴露 风险暴露水文学 水文学 水文学机器学习是机器学习.私人井的私人井是什么意思概率绘制概率绘制.公共卫生公共卫生.井的水是水的水,是水的水.

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