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通过基于机械的动态建模,优化减少剂介导的铜芬顿式系统中的污染物降解
Maximiliano Ferrer1, A Ninh Pham1, T David Waite1
1School of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW 2052, Australia.
Water research
|August 21, 2025
概括
一个新的运动模型优化了基于铜的水处理. 连续添加的 Askorbic 酸可以消除90%以上的甲酸,为有机污染物降解提供了经济有效的解决方案.
科学领域:
- 环境化学
- 水处理技术
- 高度氧化过程
背景情况:
- 研究了铜 (II) /酸 (AA) 和铜 (II) /过氧化/AA系统的污染物降解.
- 度和环中性pH值是影响系统性能的关键变量.
- 现有的方法在处理水的效率和试剂利用方面存在局限性.
研究的目的:
- 开发和验证基于铜的氧化系统的机械运动模型.
- 了解酸和酸在铜氧化还原循环和污染物降解中的作用.
- 优化试剂剂量策略,以有效地去除可氧化有机污染物.
主要方法:
- 开发和验证Cu (II) /AA和Cu (II) /H2O2/AA系统的机械动力模型
- 在不同度和pH下对酸盐降解的实验研究.
- 用于模拟和优化试剂添加序列的动态建模.
主要成果:
- 由于H2O2生产不足和Cu (III) 清理不足,Cu (II) /AA系统显示出有限的酸盐降解.
- 将AA添加到Cu (II) /H2O2系统增加了降解,但由于副产品清理,降低了40%左右.
- 通过使用该模型的优化剂量策略,通过连续的AA添加,在1小时内实现了90%的甲基降解.
结论:
- 一个经过验证的动力模型可以优化基于铜的先进氧化过程.
- 顺序添加酸是废水处理中有效去除有机污染物的有希望的策略.
- 这种方法为净化水提供了经济高效且环保的替代方案.
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