Application of the LPCF Model for Real-Time Contamination Warning in the Water Supply System

Abstract

Currently, various water quality parameters are monitored for real-time contamination warning in the water supply system of South Korea. If the measured values of water quality parameters exceed the threshold, contamination warnings are issued. However, the U.S. Environmental Protection Agency (EPA) reported the following limitations of the contamination warning system based on these thresholds. First, irregular and sudden hydraulic changes in water supply system caused by pump or valve malfunction may cause measurement error of the water quality sensors, which may cause nuisance and unnecessary false-positive alarms. Second, in the case of long-term outflow of micropollutants, water quality changes are slightly within the thresholds, which causes a serious monitoring error of false-negatives that cannot be detected even in actual contamination. Therefore, the U.S. EPA applied a linear prediction–correction filter (LPCF) model for real-time contamination warning, which is based on the autoregressive (AR) model. The main purpose of this study is to develop a contamination warning technique to be applied to water supply system of South Korea. For the development of a real-time contamination warning technique, the LPCF model was applied and Testing with water quality data collected from G_water supply system of South Korea. Key words: Water Supply System, Real-Time Contamination Warning, Autoregressive Model, Linear Prediction-Correction Filter Model