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Quality Control to Improve Reliability of Automatic Water Quality Data  

Lim, Byung-Jin (Water Quality Division, National Institute of Environmental Research)
Hong, Eun-Young (Water Quality Division, National Institute of Environmental Research)
Kim, Hyun-Ook (Environmental Engineering, University of Seoul)
Publication Information
Korean Journal of Ecology and Environment / v.43, no.2, 2010 , pp. 338-344 More about this Journal
Abstract
The automatic water quality monitoring system (AWQMS) have been installed to immediately response to any pollution incident. It also make it possible to conduct the task efficiently regarding water quality control. The purpose of this study is to enhance reliability by securing accuracy of automatic water quality data through quality assessment (QA) for temperature, pH, dissolved oxygen (DO), electric conductivity (EC), total organic carbon (TOC). The result of comparison between manual and automatic data, relative accuracy of general items (temperature, pH, EC, DO) and TOC were mostly satisfied with guideline (i.e. less than 20%). On the other hand, relative accuracy of DO between sampling site and housing site was somewhat against the guideline. The contamination by attaching algae and microorganism in the pipeline is considered as main cause. After backwashing the pipeline, DO concentration was increased up to 53%. Therefore, pipeline management is recognizable as important thing to secure reliability of water quality data.
Keywords
automatic water quality monitoring system (AWQMS); relative accuracy; quality control;
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