Attribute-based network partitioning with hydraulic and graph features stabilizes pipe roughness calibration, yielding repeatable results comparable to manual methods for key pipes.
The results are reported in terms of clustering quality, optimisation performance, and the consistency of calibrated roughness values
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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.