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A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced Data

Rehm, Imke-Sophie ; Friesen, John ; Pouls, Kevin ; Busch, Christoph ; Taubenböck, Hannes ; Pelz, Peter F. (2021)
A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced Data.
In: Water, 13 (16)
doi: 10.3390/w13162299
Artikel, Bibliographie

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Kurzbeschreibung (Abstract)

Water distribution networks are the backbone of any municipal water supply. Their task is to supply the population regardless of the respective demand. High resilience of these infrastructures is of great importance and has brought these infrastructures into the focus of science and politics. At the same time, the data collected is highly sensitive and often openly unavailable. Therefore, researchers have to rely on models that represent the topology of these infrastructures. In this work, a model is developed that allows the topology of an urban water infrastructure to be mapped using the example of Cologne, Germany by combining freely available data. On the one hand, spatial data on land use (local climate zones) are used to disaggregate the water demand within the city under consideration. On the other hand, the parallelism of water and urban transportation infrastructures is used to identify the topology of a network by applying optimization methods. These networks can be analyzed to identify vulnerable areas within urban structures.

Typ des Eintrags: Artikel
Erschienen: 2021
Autor(en): Rehm, Imke-Sophie ; Friesen, John ; Pouls, Kevin ; Busch, Christoph ; Taubenböck, Hannes ; Pelz, Peter F.
Art des Eintrags: Bibliographie
Titel: A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced Data
Sprache: Englisch
Publikationsjahr: 22 August 2021
Ort: Basel
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Water
Jahrgang/Volume einer Zeitschrift: 13
(Heft-)Nummer: 16
Kollation: 20 Seiten
DOI: 10.3390/w13162299
URL / URN: https://www.mdpi.com/2073-4441/13/16/2299
Zugehörige Links:
Kurzbeschreibung (Abstract):

Water distribution networks are the backbone of any municipal water supply. Their task is to supply the population regardless of the respective demand. High resilience of these infrastructures is of great importance and has brought these infrastructures into the focus of science and politics. At the same time, the data collected is highly sensitive and often openly unavailable. Therefore, researchers have to rely on models that represent the topology of these infrastructures. In this work, a model is developed that allows the topology of an urban water infrastructure to be mapped using the example of Cologne, Germany by combining freely available data. On the one hand, spatial data on land use (local climate zones) are used to disaggregate the water demand within the city under consideration. On the other hand, the parallelism of water and urban transportation infrastructures is used to identify the topology of a network by applying optimization methods. These networks can be analyzed to identify vulnerable areas within urban structures.

Freie Schlagworte: emergenCity_CPS, water distribution systems, water infrastructure generation, resilience, water demand specification, geo-referenced data, local climate zones, urban water demand
Zusätzliche Informationen:

Artikel 2299; This article belongs to the Special Issue Resilience of Interdependent Urban Water Systems

Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Fluidsystemtechnik (FST) (seit 01.10.2006)
16 Fachbereich Maschinenbau > Institut für Fluidsystemtechnik (FST) (seit 01.10.2006) > Urbanisierung und Infrastruktur
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LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > emergenCITY
Hinterlegungsdatum: 25 Aug 2021 06:26
Letzte Änderung: 14 Nov 2024 14:20
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