在试点规模饮用水臭氧化过程中,对两相微污染物减排的实证建模
Jingjing Zhang1, Liuyan Qin1, Zhiqiang Zhao1
1School of Civil Engineering, Guangxi Polytechnic of Construction, Nanning, Guangxi 530007, China.
ACS omega
|February 23, 2026
概括
这项研究开发了一种新的经验模型,用于预测臭氧化过程中耐臭氧微污染物的去除. 该模型准确地估计了基暴露和臭氧暴露,改善了水处理策略.
科学领域:
- 环境化学环境化学
- 水处理工程水处理工程
- 化学工程是化学工程的重要组成部分.
背景情况:
- 耐臭氧微污染物在传统水处理中构成挑战.
- 了解基 (•OH) 和臭氧暴露对于有效减轻微污染物至关重要.
- 现有的模型与臭氧分解和OH基生成的复杂动力学作斗争.
研究的目的:
- 开发一种经验模型,用于估计在试点规模的臭氧化系统中对抗臭氧的微污染物的减排.
- 单独建模臭氧分解的两个不同的阶段及其对微污染物去除的贡献.
- 用水质参数和臭氧剂量来预测基暴露 (HT) 和臭氧暴露 (Rct).
主要方法:
- 经验建模方法,分别处理臭氧分解的两个阶段.
- 统计选水质和操作变量.
- 多变量回归模型用于估计初始臭氧需求 (IOD),臭氧衰变速率 (k),HT和Rct.
- 使用二作为探针化合物用于模型验证.
主要成果:
- 开发的模型通过考虑臭氧和基激素暴露,准确地预测了微污染物减排.
- 根据水质和臭氧剂量,对基暴露 (HT) 的实证建模.
- 第二阶段的微污染物减排是使用臭氧暴露和基与臭氧暴露的比率 (Rct) 来建模的.
- 该模型表现出强大的预测准确性,R2 = 0.89.
结论:
- 提出的实证建模方法有效地估计了对臭氧耐受性微污染物的减排.
- 该模型为优化水处理中的臭氧化过程提供了宝贵的工具.
- 这种方法提高了对涉及基激素和臭氧的微污染物去除机制的理解.
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