Data Usage Protocol for Leakage Detection and EPS Model Calibration

To accurately identify a wide range of parameters is essential for establishing effective hydraulic model of a water distribution system. Although the parameter identification task can be undertaken by using an optimization method such as a competent genetic algorithm as developed in the previous published work by the author, due to a large number of different model parameters such as pipe roughness coefficients, water loss and leakages need to be identified, it is highly likely that the model parameters may compensate one another, thus it is difficult to correctly identify all model parameters. In this paper, a data requirement and usage protocol are proposed and analyzed to minimize the compensation errors. It is applied to the real water distribution systems for both calibrating a hydraulic model and detecting water loss or leakage.