A Novel Strategic Water Loss Management Model and Its Optimization with Harris Hawk Algorithm

Water loss management (WLM) in water distribution systems (WDSs) is generally time consuming, costly and difficult. Therefore, the most appropriate methodology should be defined based on the current status, requirements and technical capacity of the utilities. In this study, a novel WLM model was de...

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Published inWater resources management Vol. 38; no. 4; pp. 1543 - 1561
Main Authors Bozkurt, Cansu, Ates, Abdullah, Fırat, Mahmut, Yılmaz, Salih, Özdemir, Özgür
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.03.2024
Springer Nature B.V
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ISSN0920-4741
1573-1650
1573-1650
DOI10.1007/s11269-024-03738-7

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Summary:Water loss management (WLM) in water distribution systems (WDSs) is generally time consuming, costly and difficult. Therefore, the most appropriate methodology should be defined based on the current status, requirements and technical capacity of the utilities. In this study, a novel WLM model was developed to improve the WLM practices, to define the most appropriate and applicable targets and to determine the components that need to be improved primarily using the Harris Hawk Optimization (HHO) algorithm. Firstly, a total of 144 components in the CSAS proposed by Bozkurt et al. (Welcome Sigma J Eng Natural Sci 40:1–13, 2022b ) are scored in three utilities. The averages of current scores in utilities are 3.4167, 2.9792 and 1.1597, respectively. Then the most appropriate targets were defined with the optimization algorithm by considering the current situation and the dynamic structure of utility. The target scores defined by optimization model in utilities are 4.4097, 4.3958 and 3.2292, respectively. This novel model will contribute to the prevention of time-consuming and costly processes by determining the most appropriate progress. It is thought that this study will provide significant benefits for creating a road map for practitioners in WLM.
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ISSN:0920-4741
1573-1650
1573-1650
DOI:10.1007/s11269-024-03738-7