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基于数据驱动模型的地下水质量参数预测

IF 5.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL
Engineering Applications of Computational Fluid Mechanics Pub Date : 2024-06-13 DOI:10.1080/19942060.2024.2364749
Mohammed Falah Allawi, Yasir Al-Ani, Arkan Dhari Jalal, Zainab Malik Ismael, Mohsen Sherif, Ahmed El-Shafie
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引用次数: 0

摘要

地下水质量评估对于实现安全和可持续的水资源至关重要，特别是在主要依赖地下水的地区。本研究的重点是评估地下水...
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Groundwater quality parameters prediction based on data-driven models
Groundwater quality assessment is essential for achieving safe and sustainable water resources, specifically in regions that rely mainly on groundwater. This study focuses on evaluating groundwater...
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来源期刊
Engineering Applications of Computational Fluid Mechanics
Engineering Applications of Computational Fluid Mechanics ENGINEERING, MULTIDISCIPLINARY-ENGINEERING, MECHANICAL
CiteScore
10.60
自引率
14.80%
发文量
109
审稿时长
3.4 months
期刊介绍： The aim of Engineering Applications of Computational Fluid Mechanics is a continuous and timely dissemination of innovative, practical and industrial applications of computational techniques to solve the whole range of hitherto intractable fluid mechanics problems. The journal is a truly interdisciplinary forum and publishes original contributions on the latest advances in numerical methods in fluid mechanics and their applications to various engineering fields including aeronautic, civil, environmental, hydraulic and mechanical. The journal has a distinctive and balanced international contribution, with emphasis on papers addressing practical problem-solving by means of robust numerical techniques to generate precise flow prediction and optimum design, and those fostering the thorough understanding of the physics of fluid motion. It is an open access journal.
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