IJTEEE
International Journal of Technology Enhancements and Emerging Engineering Research (ISSN 2347-4289)
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IJTEEE >> Volume 1 - Issue 5, December 2013 Edition



International Journal of Technology Enhancements and Emerging Engineering Research  
International Journal of Technology Enhancements and Emerging Engineering Research

Website: http://www.ijteee.org

ISSN 2347-4289



Field Case Study To Validate A Geospatial Ap-proach For Locating Leakage In Water Distribution Networks - Field Data Collection And Modeling Analysis. (Case Study In Shah Alam, Malaysia)

[Full Text]

 

AUTHOR(S)

Salah Muamer Aburawe, Ahmad Rodzi Mahmud, Thamer Ahmad Mohammad, Noordin Ahmed

 

KEYWORDS

Keywords: Leakage detection; Water distribution networks; GIS; Hydraulic modeling

 

ABSTRACT

ABSTRACT: It obvious to all people the importance of water as an essential element for the life, so the water loss is a life-threatening and alarming predictor of the future. Leakage problem is one of the most important causes of water loss in water systems, therefore it was and still a matter of attention of many researchers in search of the most effective methods to solve this problem using many techniques varied with one another in terms of accuracy, cost and speed of obtaining results. This research paper refers to ongoing extensive research work to develop a new geospatial approach to detect leaks in water distribution networks, and reviews a summary for field data collection procedures and modeling analysis within the field case study that has been done to validate the approach referred to.

 

REFERENCES

[1]. Ormsbee, L. and Lingireddy, S. Calibration of Hydraulic Network Models. The McGraw-Hill Companies, Inc., City, 2000.

[2]. Trammel, D. Creating a Hydraulic Model from a ArcSDE Geodatabase. City, 2004.

[3]. Grise, S., Idolyantes, E., Brinton, E., Booth, B. and Zeiler, M. ArcGIS Water Utilities Data Model. Esri, City, 2001.

[4]. Jalalkamali, A. and Eftekhari, M. Estimating Water Losses in Water Distribution Networks Using a Hybrid of GA and Neuro-Fuzzy Models. World Applied Sciences Journal2012).