Abstract
Topological clustering was investigated to simplify a complex water distribution network of Copenhagen, Denmark, into recogniz- able water movement patterns. This made it possible to assess the general transport of the water and to suggest strategic sampling locations. Through a topological analysis, the network model was divided into strongly and weakly connected clusters within selected time periods. Steady connected clusters were found by conducting a cluster analysis over all chosen selected time periods. We identified sampling locations with steady hydraulic conditions, increasing the samples’ comparability over time, and locations, where samples represent the distributed and consumed water in the Nørrebro district.
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