Research progress on the water-quality prediction models based on the online time-series monitoring data
Sudden pollution incidents in surface water have occurred frequently and caused serious environmental and social impacts,which raised new requirements and challenges towards to environmental supervision departments.Online monitoring data of surface water quality have features of high-frequency and high time-efficiency.The recent research status and progress of water-quality prediction models with online time-series monitoring data were summarized,including data soft measurement,preprocessing methods,and water-quality prediction models.The problems in the practical applications of the relevant water-quality prediction models were analyzed.Also,the future research directions with respect to water-quality prediction are proposed.The aim of this work is to provide reference and technology support for water-quality prediction and warning,and environmental supervision.
NETL
NSTL
万方数据
