1. Probabilistic framework for the parametric modeling of leakages in water distribution networks: large scale application to the City of Patras in Western Greece.
- Author
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Serafeim, Athanasios V., Kokosalakis, George, Deidda, Roberto, Karathanasi, Irene, and Langousis, Andreas
- Subjects
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WATER leakage , *PARAMETRIC modeling , *WATER distribution , *CONFIDENCE intervals , *TOPOGRAPHY , *LEAKAGE - Abstract
Although the quantification of lost water, due to leakages in pressure management areas (PMAs) is a crucial task for all water agencies' financial viability, currently there is no rigorous approach for their parametric modeling including the effect of inlet/operating pressures. In this work we develop a probabilistic model for minimum night flow (MNF) estimation in water distribution networks that: (1) parametrizes the MNF as a function of the network's specific characteristics (topography, length of the pipeline grid, pipe diameters, density of connections etc.), and (2) parametrically describes leakages in individual Pressure Management Areas (PMAs) as a function of the inlet/operating pressures. The effectiveness of the developed model is tested in a large-scale real-world application to 43 PMAs of the water distribution network of the city of Patras in western Greece, which cover an area of approximately 18 km2 with approximately 538 km of pipeline serving more than 150 000 consumers. The strong point of the current methodology is that it allows for confidence interval estimation of the parametrized MNFs, including inlet pressure effects, a strong indicator regarding the level of leakages in PMAs. Thus, the current parametric model can serve as a useful tool for water experts and officials, allowing effective selection of proper leakage reduction technics based on a robust probabilistic approach. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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