生活饮用水在线监测预警模型的研究进展

On-line drinking water quality monitoring and early warning model: a review of recent studies

基于大量监测数据的饮用水在线监测预警模型对于掌握水质未来可能的变化趋势以及污染源的迁移、转归可能导致的水质变化具有重要意义。该文对饮用水在线监测系统中常用的地表水源水的水质模型(机理性水质模型和非机理性水质模型)及供水管网的水质模型(水力模型,水质指标模型),尤其是灰色系统预测模型、人工神经网络模型、回归模型、时间序列模型以及余氯、消毒副产物浓度的预测模型的研究现状进行综述。

The on-line drinking water monitoring and warning system based on massive monitoring data plays an important role in understanding the variation trend of water quality, transfer and transformation of pollution source.In this paper, the regular water quality model for surface water source(mechanism water quality model, non-mechanism water quality model) and water distribution network(hydraulic model,water quality index model) were briefly introduced,especially gray prediction model,artificial neural network model,regression model, time series model,and prediction model for residual chlorine and disinfection by-products.