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Water 2018, 10(2), 136; doi:10.3390/w10020136

Identifying Critical Elements in Sewer Networks Using Graph-Theory

Deltares, P.O. Box 177, 2600 MH Delft, The Netherlands
Faculty of Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, The Netherlands
M. van Bijnen Advies, Donauring 210, 5152 TL Drunen, The Netherlands
Partners4urbanwater, Javastraat 104a, 6524 MJ Nijmegen, The Netherlands
Delft Institute of Applied Mathematics, Delft University of Technology, P.O. Box 5031, 2600 GA Delft, The Netherlands
Author to whom correspondence should be addressed.
Received: 4 December 2017 / Revised: 26 January 2018 / Accepted: 27 January 2018 / Published: 31 January 2018
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Underground water infrastructure is essential for life in cities. The aging of these infrastructures requires maintenance strategies to maintain a minimum service level. Not all elements are equally important for the functioning of the infrastructure as a whole. Identifying the most critical elements in a network is crucial for formulating asset management strategies. The graph theory is presented as a means to identify the most critical elements in a network with respect to malfunctioning of the system as a whole. As opposed to conventional methods, the proposed method does not rely on iterative hydraulic calculations; instead, the structure of the network is taken as a starting point. In contrast to methods applied in practise, the results are independent on the chosen test-load. Because of the limited calculation effort, the method allows the analysis of large networks that are now, for practical reasons, beyond the scope of methods applied so-far. View Full-Text
Keywords: 1D-networks; critical sewers; asset management; sewer systems; graph-theory 1D-networks; critical sewers; asset management; sewer systems; graph-theory

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Meijer, D.; van Bijnen, M.; Langeveld, J.; Korving, H.; Post, J.; Clemens, F. Identifying Critical Elements in Sewer Networks Using Graph-Theory. Water 2018, 10, 136.

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