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Image of Pressure-Dependent Leak Detection Model and Its Application to a District Water System

Journal Articles

Pressure-Dependent Leak Detection Model and Its Application to a District Water System

Yi Wu, Zheng - Personal Name; Sage, Paul - Personal Name; Turtle, David - Personal Name;

Cost-effective reduction of water loss is a compelling but challenging task for water utilities. This paper presents a model-based optimization method for leakage detection of water distribution systems. Leakage hotspots are assumed to exist at the model nodes identified. Leakage is represented as pressure-dependent demand simulated as emitter flows at selected model nodes. The leakage detection method is formulated to optimize the leakage node locations and their associated emitter coefficients such that the differences between the model predicted and the field observed values for pressure and flow are minimized. The optimization problem is solved by using a competent genetic algorithm. The leakage detection method is developed as an add-on feature of the optimization-based model calibration tool. This enables engineers to undertake leakage hotspot optimization as an independent task or combine the task with hydraulic model calibration, subject to suitably varied field data. Two case studies are discussed in this paper including an example from literature and a district water system in the United Kingdom. The results obtained illustrate that the optimization model for predicting leakage hotspots can be effective despite the recognized challenges of model calibration and the physical measurement limitations from the pressure and flow surveys also referred to as field tests. It is found that the method is effective at being applied for hydraulic conditions that occur in the early hours of the morning, often on water networks with excess design capacity and where hydraulic gradients are slack and loggers may sometimes be working close to their limits of accuracy.


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Detail Information
Series Title
Journal of Water Resources Planning and Management
Call Number
-
Publisher
United States : American Society of Civil Engineers., 2010
Collation
-
Language
English
ISBN/ISSN
07339496
Classification
-
Content Type
-
Media Type
-
Carrier Type
-
Edition
Volume 136, Issue 1, January/February 2010. pp. 11
Subject(s)
Water distribution systems
Algorithms
Optimization
Hydraulic models
Specific Detail Info
-
Statement of Responsibility
-
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No other version available

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Kemitraan Library
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Established in 2003, the Library of Kemitraan was originally designed to record and collect all Kemitraan and grantees publications. However, today it broadly develops and serves more sectors to expand the collection to facilitate research activities, particularly since the inception of the Knowledge and Research Management within Kemitraan.

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