ID:
publications-4719
Type:
article
Year:
2010
Authors:
Wu, Zheng Yi and Wu, Zheng Yi and Sage, Paul and Sage, Paul and Turtle, David and Turtle, David
Title:
Pressure-dependent leak detection model and its application to a district water system
Venue/Journal:
Journal of Water Resources Planning and Management
DOI:
10.1061/(asce)0733-9496(2010)136:1(116)
Research type:
Water System:
Technical Focus:
Abstract:
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 discusse...
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