饮用水配送系统中缩放的控制方法和评估框架:一项审查
Changgeng Li1, Cheng Liu2, Weibin Xu2
1Key Laboratory of Integrated Regulation and Resource Development of Shallow Lakes of Ministry of Education, Hohai University, Nanjing 210024, China; College of Environment, Hohai University, Nanjing 210024, China; School of Engineering and Built Environment, Griffith University, Brisbane, QLD 4111, Australia.
The Science of the total environment
|July 19, 2024
概括
饮用水分配系统 (DWDS) 的规模影响水质. 水软化技术改变了水的特性,导致过渡效应. 人工智能可以预测这些影响,以更好地管理水质.
科学领域:
- 环境科学 环境科学
- 水资源管理 水资源管理
- 材料科学 材料科学 材料科学
背景情况:
- 饮用水配送系统 (DWDS) 对于安全的供水至关重要.
- 在DWDS中形成的,主要是和碳酸盐,会损害水质和系统效率.
- 现有的水软化技术虽然减少了规模,但导致了水质特征的显著变化.
研究的目的:
- 审查水软化技术对水质内在属性的影响.
- 突出电化学指标在评估DWDS中的水质稳定性的实用性.
- 调查影响DWDS内部由于软化过程而产生的过渡效应的因素.
主要方法:
- 关于软化技术及其对水质的影响的文献综述.
- 分析电化学特征指标,以评估水质稳定性.
- 探索DWDS中转变效应的因素.
主要成果:
- 水软化改变了基本的水质参数,导致DWDS中的过渡效应.
- 电化学指标在评估水质稳定性方面表现有前途.
- 几个因素影响了水软化后在DWDS中观察到的过渡效应.
结论:
- 了解DWDS中的过渡效应对于保持饮用水安全至关重要.
- 电化学指标为监测水质稳定性提供了有价值的工具.
- 包括机器学习和神经网络在内的人工智能可以为DWDS水质和过渡效应创建预测框架.
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