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contributor authorZheng Yi Wu
contributor authorPaul Sage
contributor authorDavid Turtle
date accessioned2017-05-08T21:08:31Z
date available2017-05-08T21:08:31Z
date copyrightJanuary 2010
date issued2010
identifier other%28asce%290733-9496%282010%29136%3A1%28116%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/40262
description abstractCost-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.
publisherAmerican Society of Civil Engineers
titlePressure-Dependent Leak Detection Model and Its Application to a District Water System
typeJournal Paper
journal volume136
journal issue1
journal titleJournal of Water Resources Planning and Management
identifier doi10.1061/(ASCE)0733-9496(2010)136:1(116)
treeJournal of Water Resources Planning and Management:;2010:;Volume ( 136 ):;issue: 001
contenttypeFulltext


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