通过水质自动监测数据与常规监测数据比较,表明了自动监测与常规监测数据的一致性;通过对自动监测数据分析,发现五参数可以更直接地反映水质变化,并且五参数之间以及五参数与其他监测指标之间都存在一定的相关性;典型污染事故预警监测案例的分析,更加凸显了五参数连续监测在预警监测中的重要性。%This essay described the correlation of the water quality automatic monitoring data and conventional monitoring data was identified through comparing the two data sets. The online five⁃parameters is proved to reflect water quality changes and their patterns more directly and efficiently. By comparing the data from automatic monitoring, this essay investigates the correlation between the five⁃parameters and eutrophication as well as the concentrations of other parameters. This essay also includes typical cases of pollution accidents to demonstrate the significance of consistent five⁃parameters monitoring in early warning. It showed that the water quality automatic monitoring has huge advantages and application protects.
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