A GIS-Based DSS for Management of Water Distribution Networks (Rafah City as Case Study)

Abstract

The water problem in Gaza Strip in Palestine is complicated; in reason of consumed water exceed the renewable water and high population density. The water situation is very important for mangers that are responsible of distribution, operation and maintenance of water networks to build an effective and complete comprehensive management of water distribution networks system. The main aim of this research is to study and evaluate the existing operation & maintenance system which is applied in Rafah area in Gaza strip which selected as pilot study area. The proposed system deals with a huge quantity of data which is needed to propose an effective system that can save time, cost, and minimize the mistakes in managing operation & maintenance systems for water distribution networks, Geographic Information System Technology is selected as one of tool decision which deals with such quantity of data and can be linked with other software which can achieve the aim of this study. The research depended on the use of Arc GIS 9.3 datasets and Water CAD/WaterGEMS hydraulic modeling based on Decision Support System for proposed water distribution plan systems, proposed operation & maintenance systems, and use pipe condition index to assist operation & maintenance manager to take the best decision which saving time, effort, and cost.

Share and Cite:

A. Eljamassi and R. Abeaid, "A GIS-Based DSS for Management of Water Distribution Networks (Rafah City as Case Study)," Journal of Geographic Information System, Vol. 5 No. 3, 2013, pp. 281-291. doi: 10.4236/jgis.2013.53027.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] PCBS, “Palestine in Figures 2005,” Palestinian Central Bureau of Statistics, Ramallah, 2006.
[2] S. L. Alter, “Decision Support Systems: Current Practice and Continuing Challenge,” Addison-Wesley, Reading, 1980.
[3] Bidgoli, “Dialog Management in DSS Environment,” Western DSI, Monterey, 1989.
[4] P. G. W. Keen and M. S. Scott-Morton, “Decision Support Systems: An Organizational Perspective,” Addison-Wesley, Reading, 1978.
[5] E. G. Mallach, “Understanding Decision Support Systems and Expert Systems,” Irwin, Pennsylvania, 1994, pp. 428-435.
[6] G. M. Marakas, “Decision Support Systems in the Twenty-first Century,” Prentice Hall, Englewood Cliffs, 1999.
[7] E. Turban, J. E. Aronson, T. P. Liang and R. Sharda, “Decision Support and Business Intelligence Systems,” Prentice Hall, Upper Saddle River, 2007.
[8] D. J. Maguire, “An Overview and Definition of GIS,” In: D. J. Maguire, M. F. Goodchild and D. W. Rhind, Eds., Geographical Information Systems, Longman, Harlow, 1991, pp. 9-20.
[9] P. Keen, “Decision Support Systems: The Next Decade,” In: E. McLean and H. G. Sol, Eds., Decision Support Systems: A Decade in Persepective, Vol. 3, North Holland, 1986, pp. 253-265.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.