Calibration of Water Distribution Hydraulic Models Using a Bayesian-Type Procedure

Kapelan, Zoran; Savić, Dragan; Walters, Godfrey A.

doi:10.1061/(asce)0733-9429(2007)133:8(927)

Cited by 107 publications

(75 citation statements)

References 23 publications

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“…The presented approach was successfully applied to a case study network. (Kapelan et al, 2007) used a Bayesian recursive method to calibrate the hydraulic model and estimate uncertainties.…”

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

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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.

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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

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show abstract

“…This study aims to demonstrate the performance of the suggested approach of parameter and predictive uncertainty analysis by applying the Bayesian framework on the "Anytown" WDS model and has been used in various calibration studies [3], [11] and [15]. In a previous study of the Anytown model, a Bayesian-type procedure was applied to investigate the uncertainties of HW C-factor pipe roughness estimations [3].…”

Section: Hypothetical Wds Case Studymentioning

confidence: 99%

“…In a previous study of the Anytown model, a Bayesian-type procedure was applied to investigate the uncertainties of HW C-factor pipe roughness estimations [3]. The present study aims to investigate pipe roughness coefficients for the equivalent roughness ε of the Darcy-Weisbach (DW) friction model.…”

Section: Hypothetical Wds Case Studymentioning

confidence: 99%

“…The joint posterior pdf is derived from combining information on the prior distribution of model parameters and data likelihood. Bayesian-type approaches have some distinct advantages in comparison to existing WDS calibration methods: probabilistic definition of prior pdf of parameters, retrieving joint and marginal posterior pdf, and no requirement of derivative calculation [3].…”

Section: Introductionmentioning

confidence: 99%

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Investigating Prior Parameter Distributions in Inverse Modelling of Water Distribution Hydraulic Models

Kozelj¹,

Kapelan²,

Novak³

et al. 2014

SV-JME

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“…Anytown Network (Walski et al, 1988;Kapelan, 2002), as shown in Fig. 1, is taken as the model case study.…”

Section: The Dssmentioning

confidence: 99%

CLIPS based decision support system for water distribution networks

Kulshrestha

Khosa

2011

Drink. Water Eng. Sci.

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Abstract. The difficulty in knowledge representation of a water distribution network (WDN) problem has contributed to the limited use of artificial intelligence (AI) based expert systems (ES) in the management of these networks. This paper presents a design of a Decision Support System (DSS) that facilitates "on-demand" knowledge generation by utilizing results of simulation runs of a suitably calibrated and validated hydraulic model of an existing aged WDN corresponding to emergent or even hypothetical but likely scenarios. The DSS augments the capability of a conventional expert system by integrating together the hydraulic modelling features with heuristics based knowledge of experts under a common, rules based, expert shell named CLIPS (C Language Integrated Production System). In contrast to previous ES, the knowledge base of the DSS has been designed to be dynamic by superimposing CLIPS on Structured Query Language (SQL). The proposed ES has an inbuilt calibration module that enables calibration of an existing (aged) WDN for the unknown, and unobservable, Hazen-Williams C-values. In addition, the daily run and simulation modules of the proposed ES further enable the CLIPS inference engine to evaluate the network performance for any emergent or suggested test scenarios. An additional feature of the proposed design is that the DSS integrates computational platforms such as MATLAB, open source Geographical Information System (GIS), and a relational database management system (RDBMS) working under the umbrella of the Microsoft Visual Studio based common user interface. The paper also discusses implementation of the proposed framework on a case study and clearly demonstrates the utility of the application as an able aide for effective management of the study network.

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Calibration of Water Distribution Hydraulic Models Using a Bayesian-Type Procedure

Cited by 107 publications

References 23 publications

A decision support system for on-line leakage localization

A decision support system for on-line leakage localization

Investigating Prior Parameter Distributions in Inverse Modelling of Water Distribution Hydraulic Models

CLIPS based decision support system for water distribution networks

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