The estimation of the hydraulic model and the measured pressures of ground water reservoirs based on the water model were not taken into account

Torkaman, Nader; Ahmadi, Hassan; Aminnejad, Babak

doi:10.22075/ijnaa.2023.30235.4373

The estimation of the hydraulic model and the measured pressures of ground water reservoirs based on the water model were not taken into account

Document Type : Research Paper

Authors

Nader Torkaman

Hassan Ahmadi

Babak Aminnejad

Department of Civil Engineering, Roudehen Branch, Islamic Azad University, Roudehen, Iran

10.22075/ijnaa.2023.30235.4373

Abstract

Nowadays, due to the complexity of water distribution systems and their large scale, their design, operation and maintenance require the use of optimal methods, which have become more important than in the past in improving their calibration. The most important issue in the simulation modeling of these systems is the consistency between the calculated and measured data. In the absence of the results of unaccounted water studies in the network, the use of statistical experimental methods is still needed as one of the main elements in model calibration. Based on this, the current research was conducted to investigate the effects of different patterns of unaccounted water based on the calculated water consumption patterns and to determine the optimal pattern of unaccounted water within the water distribution network covering the number of 6 ground reservoirs. The comparison of the statistical parameters showed that the use of the inverse model of the customers' consumption, which is not considered as a water model, for calibrating the hydraulic model of the distribution network, provides more acceptable limits for the closeness of the predicted values to the recorded values of the hourly output of the reservoirs, and therefore It is better to be used in studies related to planning and designs.

Keywords

water distribution system

unaccounted water

hydraulic model

pressure distribution

measured pressures

[1] K. Aksela and M. Aksela, Demand estimation with automated meter reading in a distribution network, J. Water Resources Plann. Manag. 137 (2010), no. 5, 456–467.

[2] A. F. Colombo and Giustolisi, A meta-modeling approach for water distribution system calibration, Water Management Challenges in Global Change, Taylor & Francis Group, London, UK. 2007, pp. 137-142.

[3] R. Datta and K. Sridharan, Parameter estimation in water-distribution systems by least squares, J. Water Resources Plann. Manag.120 (1994), no. 4, 405–422.

[4] W. De Schaetzen, G. Walters, and D. Savic, Optimal sampling design for model calibration using shortest path, genetic and entropy algorithms, Urban Water 2 (2000), no. 2, 141–152.

[5] M. Dini and M. Tabesh, A new method for simultaneous calibration of demand pattern and Hazen-Williams coefficients in water distribution systems, Water Resources Manag. 28 (2014), no. 7, 2021–2034.

[6] F.M. Henderson, Open Channel Flow, McMillan, New York, 1966.

[7] C.J. Hutton, Z. Kapelan, L. Vamvakeridou-Lyroudia, and D.A. Savic, Dealing with uncertainty in water distribution system models: A framework for real-time modeling and data assimilation, J. Water Resources Plann. Manag. 140 (2012), no. 2, 169–183.

[8] Z.S. Kapelan, D.A. Savic, and G.A. Walters, Calibration of water distribution hydraulic models using a Bayesian-type procedure, J. Hydraulic Engin. 133 (2007), no. 8, 927–993.

[9] G.H. Leavesley, Problems of Snowmelt Runoff Modeling for a Variety of Physiographic and Climatic Conditions, Hydrologic. Sci. J. 34 (1989), 617–634.

[10] Y.B. Liu and F. De Smedt, WetSpa Extension, Documentation and User Manual, Department of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, Belgium, 2004.

[11] S.R. Mounce, R.B. Mounce, and J.B. Boxall, Novelty detection for time series data analysis in water distribution systems using support vector machines, J. Hydroinform. 13 (2011), no. 4, 672–686.

[12] J. Parajka, Mapping Long-Term Mean Annual Precipitation in Slovakia using Geostatistical Procedures, Problems in Fluid Mechanics and Hydrology, Institute of Hydrodynamics, Prague, 1999.

[13] J.C. Powell, N.B. Hallam, J.R. West, C.F. Forster, and J. Simms, Factors which control bulk chlorine decay rates, Water Res. 34 (2000), no. 1, 117–126.

[14] D.A. Savic, Z.S. Kapelan and P.M. Jonkergouw, Quo Vadis water distribution model calibration?, Urban Water J. 6 (2009), no. 1, 3–22.

[15] T.M. Walski, Using water distribution system models, J. Amer. Water Works Assoc. 75 (1983), no. 2, 58–63.

[16] G. Walters, D. Savic, M. Morley, W. De Schaetzen, and R. Atkinson, Calibration of Water Distribution Network Models Using Genetic Algorithms, WIT Transactions on Ecology and the Environment, 1998.

[17] G. Yu and R. S. Powell, Optimal design of meter placement in water distribution systems, Int. J. Syst. Sci. 25 (1994), no. 12, 2155–2166.