A Model - Based Approach for Leak Detection in Water Distribution Networks Based on Optimisation and GIS Applications

Abstract

This paper describes the development of an integrated approach for water pipe network calibration and quantifying leaks. The approach merges both field measurements and linear programming to pinpoint pipe leaks (physical losses); then applies Genetic Algorithms (GA) to identify faulty meters and meter thefts (apparent losses). Besides; throughout the process, GIS is used for input data integration and output representation. The developed model is based on GA but is different in its representation, introducing a new adaptive constraint handling function and a new mutation function. Also, the use of floating-point representation enables the calibration of a large number of unknown parameters without compromising the accuracy and precision of the solutions. While the newly introduced constraint handling function robust the solution towards a near level of agreement between real and calculated values. A pilot site is used to test the model and approach, comparing before and after field results to ensure accuracy. The model integrates EPAnet for the required hydraulic modeling during the simulation. The results prove the approach’s accuracy and efficiency.

Keywords

• leak detection
• network calibration
• optimization
• water losses
• gis