Abstract

Investigation of Water Distribution Networks (WDNs) is considered a challenging task due to the unpredicted and uncertain conditions in water engineering. When in a WDN, a pipe failure occurs, and shut-off valves to isolate the broken pipe to allow repairing works are activated. In these new conditions, the hydraulic parameters in the network are modified because the topology of the entire system changes. If the head becomes inadequate, the Pressure Driven Analysis (PDA) is the correct approach to evaluate the performance of water networks. Hence, in the present study, the water distribution system was evaluated in pressure-driven conditions for 100 different scenarios and then using a type of neural network called Group Method of Data Handling (GMDH) as a stochastic technique. For this purpose, several most notable parameters including the base demand, pressure, and alpha (the percentage of effective supplied flow) were calculated using simulations based on a PDA approach and applied to the water distribution network of Praia a Mare in Southern Italy. In the second stage, the output parameters were used in a developed binary classification model. Finally, the obtained results showed that the GMDH algorithm can be applied as a powerful tool for modeling water distribution networks.

Highlights

  • Water Distribution Networks (WDNs) are considered as one of the most significant urban infrastructures

  • Different scenarios can be modeled by using the Epanet tool and more descriptions of this ability can be found in some previous studies (e.g., [2,3,4])

  • The Epanet Matlab toolkit allows for interfacing the Epanet with Matlab (R2018, MathWorks) to evaluate different hydraulic scenarios with pressure driven analysis (PDA)

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Summary

Introduction

Water Distribution Networks (WDNs) are considered as one of the most significant urban infrastructures. Their proper performance leads to an increase in the level of water supply services and customers’ satisfaction. The correct management of WDNs is necessary to have a reliable water network system with high performance. Due to a failure, the pressure in some nodes is not adequate, and it is not possible to guarantee the service to the users [1]. The Epanet simulates hydraulic networks both in a steady-state and in extended period analysis and validates system behavior by assuming different input parameters. The Epanet Matlab toolkit allows for interfacing the Epanet with Matlab (R2018, MathWorks) to evaluate different hydraulic scenarios with pressure driven analysis (PDA)

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