Title : ( Leakage detection in water distribution networks by the use of analytical and experimental models )
Authors: Ali Nasirian , Mahmoud Faghfour Maghrebi , Ali Mohtashami ,
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Abstract
Recently, calibration based methods are considered to determine the quantities and locations of all leakages in a water distribution network (WDN), simultaneously. In this paper, the accuracy of detecting leakages using Ant Colony Optimization (ACO) in two networks including a hypothetical and a laboratory network is investigated. A novel method is introduced to analyze the effects of measurement errors on demand calibration in an under-determined problem. The results confirm the ability of the optimization-based method in detecting the exact locations and values of the leakages in a WDN. Also, it is emphasized that merely suitable fitnesses cannot provide sufficient confidence in result accuracy. To overcome this difficulty, the correctness of leakage detection can be verified in a sampling design problem. Moreover, to check the reliability of leakage detection an alternative method based on various results is introduced in this research.
Keywords
, ACO, calibration, leakage detection, uncertainty analysis, water distribution network
@article{paperid:1086721,
author = {Ali Nasirian and Faghfour Maghrebi, Mahmoud and Ali Mohtashami},
title = {Leakage detection in water distribution networks by the use of analytical and experimental models},
journal = {Water Practice and Technology},
year = {2021},
volume = {16},
number = {4},
month = {October},
issn = {1751-231X},
pages = {1307--1326},
numpages = {19},
keywords = {ACO; calibration; leakage detection; uncertainty analysis; water distribution network},
}
%0 Journal Article
%T Leakage detection in water distribution networks by the use of analytical and experimental models
%A Ali Nasirian
%A Faghfour Maghrebi, Mahmoud
%A Ali Mohtashami
%J Water Practice and Technology
%@ 1751-231X
%D 2021
