Calibration Assessment and Data Collection for Water Distribution Networks

Lansey, Kevin; Elshorbagy, Walid; Ahmed, Iftekhar; Araujo, J. B.; Haan, C. T.

doi:10.1061/(asce)0733-9429(2001)127:4(270)

Cited by 118 publications

(51 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Another disadvantage is the need for gradient evaluations while the calibration process is engaged. Quite a number of works can be found in the literature about these methods, see for instance (Lansey et al, 2001) describing a General Reduced Gradient method to solve the steady-state calibration hydraulic problem; (Datta & Sridharan, 1994) describing the use of a Sensitivity Analysis Technique belonging to the Newton methods family; (Pudar & Ligget, 1992) using the Levenberg-Marquardt approach; (Di Cristo et al, 2003) presented a steady-state hydraulic parameter calibration procedure using a gradient method; (Greco et al, 1999) formulated the minimizing problem as a quadratic programming problem or (Todini, 1999) who used a Kalman filtering approach. On the other hand, one of the main characteristics of adaptive heuristic methods is their ability to move out of local optima and globally sample the search space.…”

Section: Water Distribution System: Mathematical Modelingmentioning

confidence: 99%

A decision support system for on-line leakage localization

Meseguer

Mirats-Tur

Cembraño

et al. 2014

Environmental Modelling & Software

View full text Add to dashboard Cite

Abstract:This paper describes a model-driven decision-support system (software tool) implementing a model-based methodology for on-line leakage detection and localization which is useful for a large class of water distribution networks. Since these methods present a certain degree of complexity which limits their use to experts, the proposed software tool focuses on the integration of a method emphasizing its use by water network managers as a decision support system. The proposed software tool integrates a model-based leakage localization methodology based on the use of on-line telemetry information, as well as a water network calibrated hydraulic model. The application of the resulting decision support software tool in a district metered area (DMA) of the Barcelona distribution network is provided and discussed. The obtained results show that the leakage detection and localization may be performed efficiently reducing the required time.

show abstract

Section: Water Distribution System: Mathematical Modelingmentioning

confidence: 99%

A decision support system for on-line leakage localization

Meseguer

Mirats-Tur

Cembraño

et al. 2014

Environmental Modelling & Software

View full text Add to dashboard Cite

show abstract

“…Therefore, a common practice to reduce the number of calibrated parameters is to group pipe roughness coefficients [10], and increase the number of demand conditions [8]. Then, the elements of Jacobian matrix are approximated by using finite difference method [9].…”

Section: Parameter Estimation and Calibration Of Hydraulic Modelsmentioning

confidence: 99%

“…De Schaetzen [7] proposed three new algorithms, two out of these were based on the shortest path concept while the third approach was based on the maximization of Shannon's entropy. Kapelan et al [8] developed three methods based on D-and A-optimality criterion and on the model prediction uncertainty, which was previously used by Lansey et al [9]. Behzadian et al [10] used multi-objective genetic algorithm and adaptive neural network to design a good sampling layout.…”

Section: Introductionmentioning

confidence: 99%

Optimal Pressure Measurement Layout Design in Water Distribution Network Systems

Klapcsik

Varga

Hős

2017

Period. Polytech. Mech. Eng.

View full text Add to dashboard Cite

show abstract

“…The values of the five demand components are calibrated by minimizing the error in pressure and flow measurements at each hour using the LS-based methodology detailed in (Sanz and Pérez 2015). The uncertainty calculation is done by propagating the sensors' noise using the First Order Second Moment model (Lansey et al 2001). Fig.…”

Section: Calibrationmentioning

confidence: 99%

Leak Detection and Localization through Demand Components Calibration

Sanz

Pérez

Kapelan

et al. 2016

J. Water Resour. Plann. Manage.

View full text Add to dashboard Cite

The success in the application of any model-based methodology (e.g. design, control, supervision) highly depends on the availability of a well calibrated model. The calibration in water distribution networks needs to be performed online due to the continuous evolution of demands. During the calibration process, background leakages or bursts can be unintentionally incorporated to the demand model and treated as a system evolution (change in demands). This work proposes a leak detection and localization approach to be coupled with a calibration methodology that identifies geographically distributed parameters. The approach proposed consists in comparing the calibrated parameters with their historical values to assess if changes in these parameters are caused by a system evolution or by the effect of leakage. The geographical distribution allows to associate an unexpected behavior of the calibrated parameters (e.g. abrupt changes, trends, etc.) to a specific zone in the network. The performance of the methodology proposed is tested on a real water distribution network using synthetic data. Tested scenarios include leaks occurring at different locations and ranging from 2.5% to 13% of the total consumption. Leakage is represented as pressure-dependent demand simulated as emitter flows at the network nodes. Results show that even considering a low number of sensors, leaks with an effect on parameters higher than the parameters' uncertainty can be correctly detected and located within 200 meters.

show abstract

Calibration Assessment and Data Collection for Water Distribution Networks

Cited by 118 publications

References 23 publications

A decision support system for on-line leakage localization

A decision support system for on-line leakage localization

Optimal Pressure Measurement Layout Design in Water Distribution Network Systems

Leak Detection and Localization through Demand Components Calibration

Contact Info

Product

Resources

About