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同步清除氨和酸盐的电化学机制基于通过将随机森林与遗传算法结合来实现多目标优化
Ye Tian1, Shuo Wang1, Luowei Pei1
1College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, PR China.
The Science of the total environment
|August 5, 2023
概括
这项研究开发了一种电化学系统来去除氨和酸盐,在最佳条件下实现高去除率. 使用混合随机森林遗传算法方法分析和优化流程,以实现高效的废水处理.
科学领域:
- 环境科学 环境科学
- 电化学 电化学 电化学
- 水处理 处理水的方法
背景情况:
- 氨和酸盐是废水中常见的污染物.
- 同时去除这些污染物是具有挑战性的.
- 电化学方法为水处理提供了一个有希望的解决方案.
研究的目的:
- 开发和优化用于同时去除氨和酸盐的电化学系统.
- 使用混合随机森林遗传算法 (RF-GA) 进行过程分析和优化.
- 为了阐明所涉及的电化学反应机制.
主要方法:
- 使用Ti泡/SnO2-Sb阳极和Cu泡阴极构建一个电化学系统.
- 应用混合RF-GA方法用于数据分析和优化.
- 研究诸如NaCl度,时间和电流密度等变量.
- 通过电化学分析阐明反应机制.
主要成果:
- 射频模型准确地预测了系统性能 (R2>0.97对于氨和酸盐).
- 时间被确定为污染物降解最有影响力的变量.
- 在优化条件下,酸盐的去除率为94.4%,酸盐的去除率为74.7%.
- 最低的特定能源消耗量为0.181千瓦时·g-1.1.
结论:
- 开发的电化学系统有效地同时去除氨和酸盐.
- 该RF-GA方法为优化电化学水处理过程提供了一个强大的工具.
- 该研究阐明了阳极和阴极的复杂氧化还原反应,导致气排放.
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