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| Titel |
Topological Analysis of Urban Drainage Networks |
| VerfasserIn |
Soohyun Yang, Kyungrock Paik, Gavan McGrath, Suresh Rao |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250136270
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| Publikation (Nr.) |
 EGU/EGU2016-17270.pdf |
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| Zusammenfassung |
| Urban drainage networks are an essential component of infrastructure, and comprise the
aggregation of underground pipe networks carrying storm water and domestic waste water for
eventual discharge to natural stream networks. Growing urbanization has contributed to
rapid expansion of sewer networks, vastly increasing their complexity and scale.
Importance of sewer networks has been well studied from an engineering perspective,
including resilient management, optimal design, and malfunctioning impact. Yet,
analysis of the urban drainage networks using complex networks approach are
lacking.
Urban drainage networks consist of manholes and conduits, which correspond to nodes
and edges, analogous to junctions and streams in river networks. Converging water flows
in these two networks are driven by elevation gradient. In this sense, engineered
urban drainage networks share several attributes of flows in river networks. These
similarities between the two directed, converging flow networks serve the basis for us to
hypothesize that the functional topology of sewer networks, like river networks, is
scale-invariant.
We analyzed the exceedance probability distribution of upstream area for practical sewer
networks in South Korea. We found that the exceedance probability distributions of upstream
area follow power-law, implying that the sewer networks exhibit topological self-similarity.
The power-law exponents for the sewer networks were similar, and within the range reported
from analysis of natural river networks. Thus, in line with our hypothesis, these
results suggest that engineered urban drainage networks share functional topological
attributes regardless of their structural dissimilarity or different underlying network
evolution processes (natural vs. engineered). Implications of these findings for
optimal design of sewer networks and for modeling sewer flows will be discussed. |
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