Attribute-based network partitioning with hydraulic and graph features stabilizes pipe roughness calibration, yielding repeatable results comparable to manual methods for key pipes.
Increasing the number of clusters generally improved repeatability and, consequently, solution reliability, although the smallest tested k achieved comparable performance
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The Elusive Nature of Roughness: Linking Hydraulics and Graph Theory for Water Distribution Networks Model Calibration
Attribute-based network partitioning with hydraulic and graph features stabilizes pipe roughness calibration, yielding repeatable results comparable to manual methods for key pipes.