消毒副产物预测模型的研究进展:经验模型

褚洋洋; 李卉; 朱延平; 韩小蒙; 舒诗湖

doi:10.13205/j.hjgc.202407004

消毒副产物预测模型的研究进展:经验模型

doi: 10.13205/j.hjgc.202407004

东华大学环境科学与工程学院, 上海 201620

基金项目:

水体污染控制与治理国家科技重大专项(2017ZX07207-005)

详细信息

作者简介:
褚洋洋(1998-),女,博士研究生,主要研究方向为城市水系统模拟与优化。Double_sheep407@163.com

通讯作者:
舒诗湖(1981-),男,正高级工程师,主要研究方向为城市水系统智能化理论与智慧水务关键技术。shushihu@dhu.edu.cn

计量
- 文章访问数: 25
- HTML全文浏览量: 13
- PDF下载量: 2
- 被引次数: 0
出版历程
- 收稿日期: 2023-08-28
- 网络出版日期: 2024-12-02

A REVIEW OF RESEARCH PROGRESS OF PREDICTION MODELS FOR DISINFECTION BY-PRODUCTS: EMPIRICAL MODELS

College of Environmental Science and Engineering, Donghua University, Shanghai 201620, China

摘要

摘要: 消毒副产物(DBPs)是饮用水消毒过程中的反应产物,严重威胁人体健康,因此建立相关模型、预测其浓度、实现精准控制显得尤为重要。综述了DBPs预测经验模型的研究进展,简要回顾了当前常见的消毒手段、DBPs种类以及对应的相关规范标准,并分别探讨了基于回归和基于机器学习的DBPs模型原理,对采取这2种方式构建的模型预测效果进行总结和评价。其中,重点分析了3种DBPs预测模型的机器学习算法原理,即随机森林算法、支持向量机和人工神经网络。提出了当前DBPs预测模型存在的问题,并展望了其未来发展方向,旨在推动构建精准度更高、适用性更强的DBPs预测模型。
- 消毒副产物 /
- 预测模型 /
- 回归方法 /
- 机器学习 /
- 模型评估
Abstract: Disinfection by-products (DBPs) are the reaction products during the disinfection process of drinking water, which are a serious threat to human health. Therefore, it is crucial to establish relevant models to predict their concentrations and achieve accurate control. This paper reviews the research progress of empirical models for DBPs prediction, briefly reviews the current common disinfection means, types of DBPs, and the corresponding relevant norms and standards, and explores the principles of DBP models based on regression and machine learning, respectively. The prediction effects of models constructed by taking these two approaches are summarized and evaluated. Among them, the principles of machine learning algorithms for three DBPs prediction models, namely, random forest algorithm, support vector machine, and artificial neural network, are focused on and analyzed. This paper puts forward the problems of the current DBPs disinfection by-products prediction model. It looks forward to its future development direction, aiming to promote the building of the prediction model with higher accuracy and applicability.
- disinfection by-products /
- predictive models /
- regression methods /
- machine learning /
- model evaluation

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