供水水质监测预警技术研究现状  

Research status of water quality monitoring and early warning technology

作　　者：张盛楠 连帅 肖丁源 周睿郡 张巧玲 Zhang Shengnan;Lian Shuai;Xiao Dingyuan;Zhou Ruijun;Zhang Qiaoling(Tianjin Ren′ai College,Tianjin 301636,China)

机构地区：[1]天津仁爱学院,天津301636

出　　处：《供水技术》2022年第6期27-33,共7页Water Technology

基　　金：2021年全国大学生创新创业训练计划项目(202114038012,202114038016)。

摘　　要：城市供水水源地易遭受到突发性污染,供水管网也存在管道腐蚀、消毒副产物、重金属超标等二次污染的问题。随着科技的进步,生物监测、遥感卫星等各种水质监测预警技术逐渐发展了起来,水质预警模型也在城市供水管网得到广泛应用。近几年,人工智能异军突起,人工神经网络与水质监测预警愈加紧密结合。对这些监测预警技术及研究热点进行了综合论述,以期为供水管网水质监测预警技术的研究提供参考。The urban water supply source is prone to sudden contamination,and the water supply network also has secondary pollution issues such as pipeline corrosion,disinfection by-products,and excessive heavy metals.With the progress of science and technology,various water quality monitoring and early warning technologies such as biological monitoring and remote sensing satellites have been gradually developed.Water quality early warning models have also been widely used in urban water supply networks.In recent years,artificial intelligence has emerged,and artificial neural network and water quality monitoring and warning are increasingly closely combined.These monitoring and early warning technologies and research hotspots were comprehensively discussed in order to provide reference for the research of water quality monitoring and early warning technology of water supply network.

关 键 词：生物监测 水质预警 水质模型 神经网络 遥感卫星 

分 类 号：TU991[建筑科学—市政工程]