A New Method for Simultaneous Calibration of Demand Pattern and Hazen-Williams Coefficients in Water Distribution Systems

Dini, Mehdi; Tabesh, Massoud

doi:10.1007/s11269-014-0592-4

Cited by 60 publications

(21 citation statements)

References 22 publications

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“…In evaluating the performance of a calibrated water distribution network model, most researchers commonly used mean absolute error or relative error (e.g., refs. [16,17]) and correlation coefficient (e.g., ref. [18]) to compare the simulated results and observed data.…”

Section: Introductionmentioning

confidence: 99%

Model Performance Indicator of Aging Pipes in a Domestic Water Supply Distribution Network

Rahman

Muhammad

Abdullah

et al. 2019

Water

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Aging pipes in the domestic water distribution network have the potential to decrease the quality and quantity of the treated water supplied to the consumers. Therefore, a calibrated water distribution model is helpful to monitor and understand the behaviour of a real water distribution network. However, a comprehensive performance indicator and an integrated method to assess the efficiency of model performance have not been well established in the literature. This study developed a methodology for a model calibration exercise, with consideration of two uncertainty parameters, i.e., Hazen–Williams roughness coefficient of the pipes and Non-Revenue Water (NRW) in each nodal demand. Following this, a statistical color-coded performance indicator was established, based on the Nash–Sutcliffe Efficiency Coefficient (NSEC), the coefficient of determination (R2), the correlation coefficient (r), and the Mean Absolute Error (MAE). The accuracy of the calibrated model was measured by Discrepancy Ratio (DR) analysis. This study concluded that the model performed well when NRW was added to the nodal demand in zone(s) with suspected water loss activities. The suggested Hazen–Williams roughness coefficient for PVC pipes was between 130 and 140 for pipes aged more than 20 years. The threshold error value to determine the accuracy of the simulated model was proposed to be between –0.05 and 0.05.

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Section: Introductionmentioning

confidence: 99%

Model Performance Indicator of Aging Pipes in a Domestic Water Supply Distribution Network

Rahman

Muhammad

Abdullah

et al. 2019

Water

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“…Adequate hydraulic analysis of multi-outlet pipelines is very important for the proper design and evaluation of water distribution system [18,19]. Multi-outlet pipes of small diameter in which D < 50 mm, (where D is pipe internal diameter) [7,21] are considered as smooth pipes and generally made from plastic [polyethylene (PE) or polyvinyl chloride (PVC)] material.…”

Section: Introductionmentioning

confidence: 99%

Estimation of hazen williams’s constant for a residential water distribution network; GMDH and PSO approach

Tyagi¹,

Majumder²,

Kant³

et al. 2018

IJET

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Hazen-William equation is used to estimate the Fluid flow in closed channel. There are various models for estimation of pipe flow, however the accuracy and reliability of models varies due to the empirical nature of the Hazen-William constant .the applicability of model also become constrained due to the dependency of constant on pipe material, dimension and flow potential. Different type of pipeline arranged in different Networks will require different value of the constant and is generally retrieved from the data collected for the pipe network. The case dependency of the model has makes the model erroneous and often subjective that is why the present study tries to propose a model which can be used for any network where the output will depend upon the inputs. In this aspect the soft computation techniques: -GMDH and PSO was utilized in an unconventional way to establish the value of CHW =f (H, L, V, D). According to result the GMDH becomes the better model than the PSO where the accuracy is about 76.315%.

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“…For Dini and Tabesh (2014), due to the complexity of water distribution systems and large-scale decision-making in the analysis, design, operation and maintenance of these systems, it is increasingly necessary to use computational modeling to understand the behavior of water distribution systems.…”

Section: Introductionmentioning

confidence: 99%

Absolute roughness calculation by the friction factor calibration using the Alternative Hydraulic Gradient Iterative Method on water distribution networks

Bezerra

Castro

Araújo

2017

RBRH

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The main objective of this research is the development of a new formulation for calibration of the head loss universal equation friction factor using the Alternative Hydraulic Gradient Iterative Method for calculating the absolute roughness. The method was applied with the aid of Epanet2.dll library for hydraulic simulations in two fictitious distribution networks. The influence of the initial roughness adopted, the number of nodes with known pressure data and position of the nodes with known pressures was tested. To test the influence of the initial roughness to be adopted a computer subroutine has been developed in order to calculate the most appropriate initial roughness for each section. The results showed that it is recommended to use as starting absolute roughness the usual value for the pipe material as new. The developed computational subroutine is recommended for unknown pipes network material or very old networks. How higher number of known pressures in the distribution network, better the accuracy of the method. However, a good layout of the nodes with known pressures was more important than a large number of pressure measurements. The best configuration found to the nodes with known pressures they were separated compared setting together with each other. The method was simple to apply and with good results, and can be applied with a small number of iterations.

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A New Method for Simultaneous Calibration of Demand Pattern and Hazen-Williams Coefficients in Water Distribution Systems

Cited by 60 publications

References 22 publications

Model Performance Indicator of Aging Pipes in a Domestic Water Supply Distribution Network

Model Performance Indicator of Aging Pipes in a Domestic Water Supply Distribution Network

Estimation of hazen williams’s constant for a residential water distribution network; GMDH and PSO approach

Absolute roughness calculation by the friction factor calibration using the Alternative Hydraulic Gradient Iterative Method on water distribution networks

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