Accurate Allocating the Water Demand to the Water Pipe Network Simulation model

Document Type : Research Paper

Authors

1 PhD Student, Dept. of Water Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran

2 Prof., Dept. of Water Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran

Abstract

The process of spatially allocate the water demand is a potential source of errors that should be considered when building the hydraulic simulation model. There are several methods for this purpose and each has limitations and advantages. In the case of existing accurate recording of coordinates for water meters in GIS, there are several base demand automated allocation strategies for modeling the spatial distribution of water consumption in water networks. Where the spatial data for water meters are not available, conventional methods such as Thiessen and LDM (Length Dependent Method) can be used. And if this data is incomplete mixed practices can be used. This study proposed a mixed method named SAWDSL (Spatial Allocation of the Water Demand based on Data of Consumers) that divides the total consumption in subgroups related with corresponding water meters’ recorded. This method assigning the demand of each subgroup into the nearest pipe. The simulation results of WaterGEMS software using SAWDSL, Thiessen and LDM methods, after calibration, were compared to field measurements in zone I1 of Mashhad city. RMSE between observed and simulated pressure with the SAWDSL, Thiessen and LDM methods were determined to be 0.9, 2.3 and 1.4 respectively. That shows if the incomplete data of water meters would have existed and have enough time to use them, SAWDSL method is more accurate than others. Otherwise LDM method is more accurate than Thiessen method.

Keywords

Main Subjects

References

Basford, C. & Sevier, C. 1995. Automating the maintenance of a hydraulic network model demand database utilizing GIS and customer billing records. Proceedings of the 1995 AWWA Computer Conference, Denever, C10. 197-206.
Davis, A. L. & Brawn, R. C. 2000. General purpose demand allocator (DALLOC). Building Partnerships.doi:10.1061/40517(2000) 190.
Elsheikh, M. A., Saleh, H. I., Rashwan, I. M. & Et-Samadoni, M. M. 2013. Hydraulic modelling of water supply distribution for improving its quantity and quality. Sustainalbe Environment Research, 23, 403-411.
Gupta, I., Khitoliya, D. R. & Kumar, D. S. 2013. Study of water distribution network using EPANET. International Journal of Computational Engineering Research, 3, 58-61.
Kanakoudis, V. & Gonelas, K. 2015. Properly allocating the urban water meter readings to the nodes of a water pipe network simulation model. Desalination and Water Treatment, 54, 2190-2203.
Mitchell, A. W. 1999. Population and demand allocation using polygon overlay techniques. Esri Proceedings, <<http://Proceedings.esri.com/library/user conf./proc 99/proceed/papers/pap552/P552.htm>>
Mohapatra, S., Kamble, S., Sargaonkar, A., Labhasetwar, P. & Watpade, S. 2012. Efficiency study of a pilot water distribution system using EPANET and ArcGIS10. Conference CSIR-NEERI, India Water Week, at New Dehli, India.
Mukherjee, B., Das, S. & Sarkar, P. K. 2015. Management in real time operation of drinking water pipeline distribution network: a case study. Proceedings of the 47th IWWA Annual Convention, Kolkata, India,
298-303.
Nazari, A. & Meisami, H. 2008. Instructing WaterGEMS software usage. Department of Publications and Technical Affairs of Iranian National Retrofitting Center (INRC), Tehran, 1, 111. (In Persian)
Plan and Budget Organization of Iran, M. 2013. Design criteria of urban and rural water supply and distribution systems No. 117-3, Tehran, Iran. (In Persian)
 
Roy, P. K., Konar, A., Banerjee, G., Paul, S., Mazumdar, A. & Chkraborty, R. 2015. Development and hydraulic analysis of a proposed drinking water distribution network using watergems and GIS. Pollution Research Paper, 34 (2), 371-379.
Sonaje, N. P. & Joshi, M. G. 2015. A review of modeling and application of water distribution networks (WDN) softwares. International Journal of Technical Research and Applications, 3, 174-178.
Sumithra, R. & Amaranath, J. 2013. Feasibility analysis and design of water distribution system for tirunelveli corporation using loop and watergems software. International Journal on Applied Bioengineering, 7 (1), 61-70.
Walski, T. M. 2000. Model calibration data: the good, the bad, and the useless. Journal‐American Water Works Association, 92, 94-99.
Walski, T. M., Chase, D. V., Savic, D. A., Grayman, W., Beckwith, S. & Koelle, E. 2003. Advanced water distribution modeling and management, 1st Ed., Rently Institute Press, Pennsylvania.
Wu, Z., Wang, R. H., Diaz, D. & Walski, T. 2003. Mining water consumption and GIS-based data for loading water distribution models. World Water and Environmental Resources Congress 2003, Philadelphia, Pennsylvania. 1-9. doi: 10.1061/40685(2003) 23.
Journal of Water and Wastewater; Ab va Fazilab ( in persian )
Volume 30, Issue 5 - Serial Number 123
November and December 2019
Pages 61-74

Files

Share

How to cite

Statistics