Leakage detection is critical for the proper management of water distribution systems (WDS). This paper proposes a leakdetection approach based on a Bayesian calibration method. The methodology uses a newly formulated index, μ, which takesinto account the variation of roughness in pipes between the calibrated models with and without leaks. Case studies, which useliterature networks, are presented to demonstrate how the approach can be used in identifying pipes with losses. The approachstarts with a calibration method followed by the analysis of sensitivity matrices. The approach proved to be effective in findingleaks, but the results depend crucially on the number and quality of the observed data.
File in questo prodotto:
Non ci sono file associati a questo prodotto.