Among the possible strategies for the detection of water losses from water distribution networks, modern guidelines suggest a division of the network into clusters or district metered areas (DMAs). The measurement of incoming/outgoing ﬂows for each DMA allows for a quantiﬁcation of water losses. In this paper, the community detection approach developed in the complex network theory is applied in order to identify DMAs in a water distribution system. The adopted method is a modiﬁcation of a previous algorithm, and it is aimed to ﬁnd a compromise between the maximization of modularity and the reduction of the number of communities. Even for large systems (thousands of nodes and pipes), the proposed method is able to identify DMAs in a straightforward way with a very low amount of computational time.
Community detection as a tool for complex pipe network clustering / Marco Scibetta;Fulvio Boano;Roberto Revelli;Luca Ridolfi. - In: EUROPHYSICS LETTERS. - ISSN 0295-5075. - STAMPA. - 103(2013), p. 48001. [10.1209/0295-5075/103/48001]
|Titolo:||Community detection as a tool for complex pipe network clustering|
|Data di pubblicazione:||2013|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1209/0295-5075/103/48001|
|Appare nelle tipologie:||1.1 Articolo in rivista|
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