Water loss detection in water distribution networks by using modified Clonalg
Water loss detection in water distribution networks by using modified Clonalg
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DOI：
10.2166/aqua.2019.139
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发表时间：
2019-06
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通讯作者：
M. Eryiğit
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作者：
M. Eryiğit
本研究旨在开发一种基于模型校准的优化模型，使用人工免疫系统（AIS）定量和定位供水管网（WDN）中的水损失，而不使用相关文献中先前研究所使用的观测压力数据。模型采用人工免疫算法中的改进克隆选择算法作为启发式优化技术。EPANET 2，一个广为人知的WDN模拟器，与模型一起使用。该模型被应用于四回路和六回路虚拟WDN在稳态条件下，以测试其性能在管道和节点的水损失检测。同时，根据变异系数对改进的Clonalg算法进行了灵敏度分析，以检验其在该优化问题中的搜索能力。结果表明，该模型似乎是有前途的WDN的水分流失检测方面。doi：10.2166/aqua.2019.139 s：iwaponline.com/aqua/article-pdf/68/4/253/569869/jws0680253.pdf MiraitEryiitit土耳其Bolu Abant Izzet Baysal大学环境工程系电子邮件：miraceryigit@hotmail.com
This study aims at the development of an optimization model based on a model calibration, using artificial immune systems (AIS) for quantifying and locating water loss in water distribution networks (WDNs) without using observed pressure data as used by previous studies in the related literature. The modified Clonal Selection Algorithm (modified Clonalg), a class of AIS, was used as a heuristic optimization technique in the model. EPANET 2, a widely known WDN simulator, was used in conjunction with the model. The model was applied to four-loop and six-loop virtual WDNs under steady-state conditions in order to test its performance in water loss detection in both pipes and nodes. Also, sensitivity analysis of the modified Clonalg was performed according to mutation coefficient to test its search capability in this optimization problem. The results showed that the model appeared to be promising in terms of water loss detection in WDNs. doi: 10.2166/aqua.2019.139 s://iwaponline.com/aqua/article-pdf/68/4/253/569869/jws0680253.pdf Miraç Eryiğit Department of Environmental Engineering, Bolu Abant Izzet Baysal University, Bolu 14030, Turkey E-mail: miraceryigit@hotmail.com