环境工程学报2024，Vol.18Issue(11)：3035-3048,14.DOI:10.12030/j.cjee.202404012
机器学习在地表水水质管理中的应用
Application of machine learning to surface water quality management
摘要
Abstract
Machine learning,a key subfield of artificial intelligence,has been playing an increasingly important role in the environmental field.When dealing with complex problems in surface water quality management,it shows significant advantages over traditional methods.This review focused on the applications of various machine learning algorithms in surface water quality management.It analyzed the effects of different water quality parameters,such as dissolved oxygen,biological oxygen demand,chemical oxygen demand,turbidity,temperature,pH,etc.,for surface water quality classification,monitoring,and prediction.This review also provided an in-depth discussion of several machine learning models that were commonly used in real-world engineering applications,such as artificial neural networks,support vector machines,random forests,decision trees,and deep learning.In addition,this review explored the application of hybrid models for improving output accuracy in surface water quality management.In summary,the realization of machine learning for accurate and efficient management of surface water quality not only depends on suitability of selected parameters for specific algorithms but also relies on reasonable use of multiple machine learning models to increase the credibility of the output results.关键词
机器学习/环境工程/水质管理/地表水Key words
machine learning/environmental engineering/water quality management/surface water分类
资源环境引用本文复制引用
王光滔,赵雯,江宇静,刘娟,朱文磊,李梅..机器学习在地表水水质管理中的应用[J].环境工程学报,2024,18(11):3035-3048,14.基金项目
江苏省科技计划专项资助项目(BZ2022006) （BZ2022006）
国家自然科学基金资助项目(22176086) （22176086）
江苏省基础研究计划资助项目(BK20210189) （BK20210189）
江苏省碳达峰碳中和科技创新专项资助项目(BE202261) （BE202261）
