人工智能增强吸附建模:挑战,应用和文献分析分析
Sheetal Kumari1, Jyoti Chowdhry2, Manoj Chandra Garg1
1Amity Institute of Environmental Science (AIES), Amity University Uttar Pradesh, Sector-125, Noida, 201313, Gautam Budh Nagar, India.
Journal of environmental management
|January 3, 2024
概括
人工智能 (AI) 通过优化处理过程和吸附剂选择以去除污染物,为水污染提供解决方案. 数据,可复制性和现实应用方面的挑战需要为AI解决.
科学领域:
- 环境科学 环境科学
- 水处理技术水处理技术
- 人工智能应用程序 人工智能应用程序
背景情况:
- 由无机和有机污染物 (肥料,重金属,染料) 造成的水污染是一个重大的全球问题.
- 人工智能 (AI) 为应对各种科学和工业领域的复杂挑战提供了有希望的能力.
- 人工智能技术越来越多地被认为有潜力优化水处理和海水淡化过程,解决污染和稀缺问题.
研究的目的:
- 提供适用于污染物吸附在水处理中的各种AI技术的概述.
- 通过图库计量方法分析人工智能在水处理领域的现状.
- 在现实世界水处理场景中确定AI实施的关键挑战和未来方向.
主要方法:
- 对审查的出版物进行文献计量分析,检查期刊类型,出版年份和研究背景.
- 使用像VOSviewer这样的工具来识别研究集群的引用网络分析.
- 对污染物吸附在废水中的人工智能技术的审查和综合.
主要成果:
- 人工智能在优化水处理,降低运营成本和改善化学品利用方面显示出潜力.
- 人工智能模型准确地预测吸附剂在去除各种废水污染物的有效性.
- 分析揭示了研究趋势,并确定了人工智能在水处理中应用的关键领域.
结论:
- 人工智能为提高水处理效率和解决污染问题提供了巨大的潜力.
- 需要进一步的研究来克服与数据可用性,可复制性和人工智能在水处理中的实际实施相关的挑战.
- 应对这些挑战对于成功地将人工智能技术集成到水务部门至关重要.
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