Methodology to Detect and Isolate Water Losses in Water Hydraulic Networks: Application to Barcelona Water Network

Quevedo, Joseba; Pérez, Ramón Almela; Pascual, J.; Puig, Vicenç; Cembraño, Gabriela; Peralta, Antonio Espantaleón

doi:10.3182/20120829-3-mx-2028.00120

Cited by 5 publications

(5 citation statements)

References 4 publications

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“…The consistency between measurements and model prediction is always difficult to achieve because of model uncertainty, especially in the nodal demands that usually are estimated. Thus, the detection phase is usually treated in another level of supervision using DMA information regarding night flows and water balance performance (see [17] for further details).…”

Section: Methodsmentioning

confidence: 99%

Leak Localization in Water Networks: A Model-Based Methodology Using Pressure Sensors Applied to a Real Network in Barcelona [Applications of Control]

et al. 2014

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The efficient use of water resources is a subject of major concern for water utilities and authorities. One of the main challenges in improving the efficiency of drinking water networks is to minimize water loss in pipes due to leakage. Water leaks in water distribution networks (WDN) are unavoidable. They can cause significant economic losses in fluid transportation and an increase on reparation costs that finally generate an extra cost for the final consumer due to the waste of energy and chemicals in water treatment plants. It may also damage infrastructure and cause third party damage and health risks. In many WDN, losses due to leakage are estimated to account up to 30% of the total amount of extracted water; a very important issue in a world struggling to satisfy water demands of a growing population.Telemetry systems have long been used in large water distribution systems for improving real-time monitoring of quantity and quality parameters. As monitoring technologies 2 evolve, new possibilities of controlling and managing complex infrastructures are provided. This is the case for water networks. Sectorization of distribution networks into smaller subnetworks, such as District Metered Areas (DMAs), contributes to achieving, in real-time, an accurate estimation of the amount of water that is being consumed in each subnetwork. It is an efficient measure to control water loss, since flow and pressure meters bring a huge amount of data with information about the network behavior. Over the last decade, the concepts and methods developed for system-wide water balance calculations have been based upon water assets' physical data and the statistics of pipe bursts, service connections and underground conditions [1]. Performance measures and indicators are used to support the managerial approaches to minimize different components of water losses.Real-time monitoring of water networks is based on the use of sensor data from telemetry and mathematical models to detect and diagnose possible abnormal situations, such as leakage or water quality deterioration events. It links the real sensor data gathered from the network to the decision making procedure, by detecting possible faults as well as their probable location within the network. The main idea behind real-time monitoring, both for water balance and for water quality problems, is to use real-time sensor data and to compare them with those generated by a well-calibrated hydraulic model of the network in absence of faults. By analyzing the difference between these two sets of data, a detection of abnormal events can be performed.Several works have been published on leak detection and isolation methods for WDN.For example, a review of transient-based leak detection methods is offered in [2] as a summary of current and past work. In [3], a method has been proposed to identify leaks using blind spots based on previously leak detection researches that use the analysis of acoustic and vibrations signals [4], and models of buried pipelines to predict wave velocities [5]. ...

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Section: Methodsmentioning

confidence: 99%

Leak Localization in Water Networks: A Model-Based Methodology Using Pressure Sensors Applied to a Real Network in Barcelona [Applications of Control]

et al. 2014

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“…Typically, seasonal consumption patterns and weekday effects are not considered, leading to inaccurate MNF estimates, as discussed by WSAA [66]. Similarly, disregarding the temporal resolution of the flow measurements may result in unrealistically low MNF estimates due to signal variability caused by various factors such as flow interruptions, pressure waves, equipment malfunctions, environmental conditions, and suspended solid concentration [42,62,67].…”

Section: Minimum Night Flow (Bottom-up) Approachmentioning

confidence: 99%

Leakages in Water Distribution Networks: Estimation Methods, Influential Factors, and Mitigation Strategies—A Comprehensive Review

Serafeim,

Fourniotis,

Deidda

et al. 2024

Water

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While only a minimal fraction of global water resources is accessible for drinking water production, their uneven distribution combined with the climate crisis impacts leads to challenges in water availability. Leakage in water distribution networks compounds these issues, resulting in significant economic losses and environmental risks. A coherent review of (a) the most widely applied water loss estimation techniques, (b) factors influencing them, and (c) strategies for their resilient reduction provides a comprehensive understanding of the current state of knowledge and practices in leakage management. This work aims towards covering the most important leakage estimation methodologies, while also unveiling the factors that critically affect them, both internally and externally. Finally, a thorough discussion is provided regarding the current state-of-the-art technics for leakage reduction at the municipal-wide level.

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“…For this reason, the proposed methodology should be used in combination with the DMA monitoring methodology proposed in (Quevedo et al, 2012) that analyses the night flows altogether with the supplied/billed amount of water. When a leak is detected with the methodology, then proposed leak location could be safely used to locate approximately where the leak is located.…”

Section: Remarkmentioning

confidence: 99%

Model-based leak detection and location in water distribution networks considering an extended-horizon analysis of pressure sensitivities

Ponce

Garza-Castañón

Puig

2013

Journal of Hydroinformatics

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Methodology to Detect and Isolate Water Losses in Water Hydraulic Networks: Application to Barcelona Water Network

Cited by 5 publications

References 4 publications

Leak Localization in Water Networks: A Model-Based Methodology Using Pressure Sensors Applied to a Real Network in Barcelona [Applications of Control]

Leak Localization in Water Networks: A Model-Based Methodology Using Pressure Sensors Applied to a Real Network in Barcelona [Applications of Control]

Leakages in Water Distribution Networks: Estimation Methods, Influential Factors, and Mitigation Strategies—A Comprehensive Review

Model-based leak detection and location in water distribution networks considering an extended-horizon analysis of pressure sensitivities

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