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Updated: Jun 13, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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Published on: July 24, 2016

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使用定量方法,多变量分析和机器学习模型全面评估和预测地下水质量和风险指数:一项探索性研究

Mohamed Gad1, Aissam Gaagai2, Asmaa A Agrama3

  • 1Hydrogeology, Evaluation of Natural Resources Department, Environmental Studies and Research Institute, University of Sadat City, Minufiya, 32897, Egypt.

Heliyon
|September 12, 2024
PubMed
概括

埃尔-梅努菲亚的地下水质量显示和的含量较高,构成风险. 循环神经网络 (RNN) 准确预测了水质指数和健康风险,有助于有效管理.

关键词:
地理信息系统 (GIS) 是一个人类健康风险 人类健康风险水地地化学 水地地化学多变量分析多变量分析.一个RNN RNN

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