Author(s): Daniel Kozelj; Saso Santl; Franci Steinman
Linked Author(s):
Keywords: Hydraulics; Modelling; Water distribution system; Measurement points; Sampling design; Genetic algorithms
Abstract: The paper discusses sampling design for parameter calibration of water distribution system hydraulic models. Sampling design is closely related to the procedure of model calibration and both belong to a broad area of modelling, optimisation and use of hydraulic models for various needs. The sampling design problem consists of two normalised objective functions. The first objective function is used to increase the calibration parameter accuracy, and the second one is used to reduce the number of necessary measurement points. The paper presents solving of the optimisation problem by using genetic algorithms. The main objective was to develop a tool, i. e. a computer model for an optimum sampling design by using genetic algorithms. A comparison of obtained results and verification of the model were carried out on a hydraulic model of a theoretical water distribution system Anytown, which serves as a reference model for testing various researches in hydraulic modelling. Afterwards a sampling design analysis was carried out on a real life water distribution system of the town Sezana. The used methodology and the use of genetic algorithms as a search engine brought good results in the highly combinational problem of identifying optimal measurement locations on a water distribution system.
Year: 2005