一个通用模型来预测基于紫外线可见吸收光谱的凝固的DOC去除
Yang Deng1, Hanzhe Wang1, Lei Zheng2
1Department of Environmental Engineering, Peking University, The Key Laboratory of Water and Sediment Sciences, Ministry of Education, Beijing, 100871, China.
Water research
|July 29, 2025
概括
预测饮用水处理中溶解有机物 (DOM) 的去除是具有挑战性的. 这项研究展示了一种使用UV-Vis光谱学的新方法,可以准确预测DOM通过凝固的去除,从而提高水处理厂的效率.
科学领域:
- 水处理技术水处理技术.
- 环境化学环境化学
- 频谱学分析的分析.
背景情况:
- 在饮用水中溶解的有机物 (DOM) 与消毒剂反应,形成有害的消毒副产品 (DBPs).
- 有效的DOM去除对于安全的饮用水至关重要,但由于水源和季节性条件的变化,难以预测凝血性能.
- 目前的方法缺乏DOM反应性的在线表征,阻碍了饮用水处理厂 (DWTP) 的智能控制.
研究的目的:
- 开发一种预测模型,用于在凝固过程中去除溶解有机碳 (DOC).
- 通过UV-Vis光谱法测量DOM属性与凝固效率之间建立联系.
- 为了实现智能控制和优化DWTP中的凝固过程.
主要方法:
- 基于最大可移除的DOC (DOCmax),性,凝固剂类型和剂量,对DOC去除变化的分析.
- 使用紫外线可见 (UV-Vis) 吸收光谱对DOM进行表征.
- 紫外线-Vis光谱的解卷,以确定吸收带A3及其与DOCmax的相关性.
主要成果:
- DOC去除主要由DOCmax,源水的性和凝固剂参数决定.
- 在DOCmax和UV-Vis光谱中A3吸收带的特性之间发现了强烈的相关性 (R2 = 0.84).
- 一个通用模型准确地预测了使用UV-Vis光谱在各种水条件 (R2 = 0.93) 中的DOC去除.
结论:
- 可通过UV-Vis光谱识别的A3吸收带作为预测DOCmax的关键指标.
- 开发的通用模型能够准确预测DOC去除的凝固性能.
- 这些发现有助于开发智能剂量系统,以加强DWTP中的凝血控制.
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