DOI: 10.29007/l442
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Partition of Water Distribution Networks into District Metered Areas Using a Graph Theoretical Approach

Abstract: We present a method for partitioning Water Distribution Networks (WDNs) into District Metered Areas (DMAs) by using a spectral graph partitioning algorithm. The effectiveness of DMA design was tested for selected edge weights and multiple numbers of established DMAs. The presented method includes a novel graph theoretic approach to determine and evaluate only relevant combinations of DMA connection. It was tested on a real-life case study for which several different solutions were generated and evaluated again… Show more

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Cited by 2 publications
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“…To measure network centrality, the eigenvector centrality [82] was used to identify the critical nodes, and edges betweenness centrality [83] were adopted to measure the important pipes, creating a high-quality cluster. Most recently, Zevnik et al [81,84] proposed spectral graph partitioning based on a generalized and normalized cut method and compared it with two known spectral methods (ratio cut and normalized cut).…”
mentioning
confidence: 99%
“…To measure network centrality, the eigenvector centrality [82] was used to identify the critical nodes, and edges betweenness centrality [83] were adopted to measure the important pipes, creating a high-quality cluster. Most recently, Zevnik et al [81,84] proposed spectral graph partitioning based on a generalized and normalized cut method and compared it with two known spectral methods (ratio cut and normalized cut).…”
mentioning
confidence: 99%