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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. (2023)
A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced Data.
In: Water, 2021, 13 (16)
doi: 10.26083/tuprints-00019608
Article, Secondary publication, Publisher's Version

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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.

Item Type: Article
Erschienen: 2023
Creators: Rehm, Imke-Sophie ; Friesen, John ; Pouls, Kevin ; Busch, Christoph ; Taubenböck, Hannes ; Pelz, Peter F.
Type of entry: Secondary publication
Title: A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced Data
Language: English
Date: 14 November 2023
Place of Publication: Darmstadt
Year of primary publication: 2021
Place of primary publication: Basel
Publisher: MDPI
Journal or Publication Title: Water
Volume of the journal: 13
Issue Number: 16
Collation: 20 Seiten
DOI: 10.26083/tuprints-00019608
URL / URN: https://tuprints.ulb.tu-darmstadt.de/19608
Corresponding Links:
Origin: Secondary publication DeepGreen
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.

Uncontrolled Keywords: water distribution systems, water infrastructure generation, resilience, water demand specification, geo-referenced data, local climate zones, urban water demand
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-196085
Additional Information:

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

Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
600 Technology, medicine, applied sciences > 624 Civil engineering and environmental protection engineering
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute for Fluid Systems (FST) (since 01.10.2006)
Date Deposited: 14 Nov 2023 13:57
Last Modified: 15 Nov 2023 08:34
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