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Updated: May 7, 2025

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基于伊拉克迪瓦尼亚市 (Al-Diwaniyah City) 现场测量数据的欧弗拉底河水质指数建模

Marwah M Al-Khuzaie1,2, Khairul Nizam Abdul Maulud3, Wan Hanna Melini Wan Mohtar1

  • 1Department of Civil Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia.

Scientific reports
|January 3, 2025
PubMed
概括

本研究介绍了一种基于GIS的人工神经网络 (ANN) 模型,用于有效地监测地表水中的重金属 (HM) 污染. 该模型准确地预测了伯拉河的污染水平,并确定了超出安全标准的地区.

关键词:
人工神经网络的人工神经网络地理信息系统 (GIS) 是一个重金属污染 污染 重金属污染废水排放的排放情况预测水质水质预测

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