Simulation and assessment of water supply network for Al-Nasir network at Al-Najaf Governorate

Main Article Content

Hassan Al-Mousawey
Basim Sh. ABED

Keywords : hydraulic analysis, WaterGEMS, water distribution network, residual chlorine

This study simulates and assesses the hydraulic features and residual chlorine in Al-Najaf city’s water supply network using WaterGEMS. Field and laboratory work was done to determine pressure heads, velocities, and chlorine residual. Constructed model was validated using field data. Values of RMSE were between 0.08 and 0.1, and 0.05 and 0.06 for pressure and residual chlorine, respectively. The examination of water distribution system (WDS) during peak demand hours indicated that the pump unit’s capacity could not meet the high-water demand, resulting pressure loss with values between 0.1 and 2 bar. Simulated residual chlorine levels ranged between 0.45 and 0.8 ppm.

Article Details

How to Cite
Al-Mousawey, H., & ABED, B. S. (2022). Simulation and assessment of water supply network for Al-Nasir network at Al-Najaf Governorate. Scientific Review Engineering and Environmental Sciences (SREES), 31(3), 176–189.

Abdulsamad, A. A. & Abdulrazzaq, K. A. (2022). Calibration and analysis of the potable water network in the Al-Yarmouk region employing WaterGEMS and GIS. Journal of the Mechanical Behavior of Materials, 31 (1), 298–305. (Crossref)

Albadry, A. M. a. (2017). The effect of the utilitarian need for the high water tanks towers to sustain life in the City. Journal of Engineering, 23 (2), 20–38. Retrieved from: [accessed 23.07.2022].

Alsaydalani, M. O. A. (2019). Simulation of pressure head and chlorine decay in a water distribution network: a case study. The Open Civil Engineering Journal, 13 (1), 58–68. (Crossref)

Bashar, K. edin E., Khudair, B. H., & khalid, G. khalaf (2015). Calibration and Verification of the Hydraulic Model for Blue Nile River from Roseires Dam to Khartoum City. Journal of Engineering, 21 (12), 46–62. Retrieved from [accessed 23.07.2022].

Casas-Monroy, O., Byllaardt, J. van den, Bradie, J., Sneekes, A., Kaag, K. & Bailey, S. A. (2019). Effect of temperature on chlorine treatment for elimination of freshwater phytoplankton in ballast water: bench-scale test. Canadian Journal of Fisheries and Aquatic Sciences, 76 (10), 1768–1780. (Crossref)

Castro, P. & Neves, M. (2003). Chlorine decay in water distribution systems case study – lousada network. Electronic Journal of Environmental, Agricultural and Food Chemistry, 2 (2), 261–266.

Chin, D. A., Mazumdar, A. & Roy, P. K. (2000). Water-resources engineering (Vol. 12). Hoboken: Prentice Hall Englewood Cliffs.

Farhan, A. A. & Abed, B. S. (2021). Estimation of surface runoff to Bahr Al-Najaf. Journal of Engineering, 27 (9), 51–63. (Crossref)

Haestad Methods Inc. (2003). Haestad Methods WaterCAD Version 6 User’s Manual. Waterbury: Haestad Methods Inc.

Hessling, J. P. (2017). Uncertainty quantification and model calibration. London: Intech Open. (Crossref)

Ho, H. C., Puika, K. S. & Kasih, T. P. (2020). Development of IoT-based water reduction system for improving clean water conservation. Scientific Review Engineering and Environmental Studies (SREES), 29 (1), 54–61. (Crossref)

Hua, F., West, J. R., Barker, R. A. & Forster, C. F. (1999). Modelling of chlorine decay in municipal water supplies. Water Research, 33 (12), 2735–2746. (Crossref)

Hussein, H. A. (2021). Evaluation and analysis the effects of some parameters on the operation efficiency of the main water pipe in Karbala City using WaterCAD program. Baghdad: Ministry of Higher Education. (Crossref)

Hussien Al-Mansori, N. J., Mizhir Al-Fatlawi, T. J. & Al-Zubaidi, L. S. A. (2020). Equilibrium of Babylon water supply network using EPANET program. Plant Archives, 20 (2), 693–700.

Jalal, M. M. (2008). Performance Measurement of Water Distribution Systems (WDS). A critical and constructive appraisal of the state-of-the-art (master thesis). University of Toronto, Toronto.

Kadhim, N. R., Abdulrazzaq, K. A. & Mohammed, A. H. (2021). Hydraulic analysis and modelling of water distribution network using WATERCAD and GIS: Al-Karada Area. E3S Web of Conferences, 318, 04004. (Crossref)

Mostafa, N. G., Matta, M. E. & Halim, H. A. (2013). Simulation of chlorine decay in water distribution networks using EPANET – case study. Simulation, 3 (13), 100–116.

Nagatani, T., Yasuhara, K., Murata, K., Takeda, M., Nakamura, T., Fuchigami, T. & Terashima, K. (2008). Residual chlorine decay simulation in water distribution system. The 7th International Symposium on Water Supply Technology. Yokohama, Japan, 22–24.

Ozdemir, O. N. & Ucak, A. (2002). Simulation of chlorine decay in drinking-water distribution systems. Journal of Environmental Engineering, 128 (1), 31–39. (Crossref)

Parady, G., Ory, D. & Walker, J. (2021). The overreliance on statistical goodness-of-fit and under-reliance on model validation in discrete choice models: A review of validation practices in the transportation academic literature. Journal of Choice Modelling, 38, 100257. (Crossref)

Patel, O. S., Sahoo, B. & Mohanty, S. (2020). Water distribution system modeling to reduce leakage. Juni Khyat, 10 (12), 207–214.

Rai, R. K. & Lingayat, P. (2019). Analysis of water distribution network using EPANET. Proceedings of Sustainable Infrastructure Development & Management (SIDM). (Crossref)

Summeren, J. van & Blokker, M. (2017). Modeling particle transport and discoloration risk in drinking water distribution networks. Drinking Water Engineering and Science, 10 (2), 99–107. (Crossref)

Sun, N. Z. & Sun, A. (2015). Model calibration and parameter estimation: for environmental and water resource systems. Berlin: Springer. (Crossref)

World Health Organization [WHO] (2022). Guidelines for drinking-water quality (4th ed.). Geneva: World Health Organization.



Download data is not yet available.
Recommend Articles