A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced Data
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Water |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4441/13/16/2299 |
| _version_ | 1797521747067535360 |
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| author | Imke-Sophie Rehm John Friesen Kevin Pouls Christoph Busch Hannes Taubenböck Peter F. Pelz |
| author_facet | Imke-Sophie Rehm John Friesen Kevin Pouls Christoph Busch Hannes Taubenböck Peter F. Pelz |
| author_sort | Imke-Sophie Rehm |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T08:17:07Z |
| format | Article |
| id | doaj.art-c06d1b2d45d94b7fa3f488184f46390b |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T08:17:07Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-c06d1b2d45d94b7fa3f488184f46390b2023-11-22T10:15:45ZengMDPI AGWater2073-44412021-08-011316229910.3390/w13162299A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced DataImke-Sophie Rehm0John Friesen1Kevin Pouls2Christoph Busch3Hannes Taubenböck4Peter F. Pelz5Chair of Fluid Systems, Technische Universität Darmstadt, 64289 Darmstadt, GermanyChair of Fluid Systems, Technische Universität Darmstadt, 64289 Darmstadt, GermanyChair of Fluid Systems, Technische Universität Darmstadt, 64289 Darmstadt, GermanyChair of Fluid Systems, Technische Universität Darmstadt, 64289 Darmstadt, GermanyGerman Aerospace Center, 51147 Cologne, GermanyChair of Fluid Systems, Technische Universität Darmstadt, 64289 Darmstadt, GermanyWater 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.https://www.mdpi.com/2073-4441/13/16/2299water distribution systemswater infrastructure generationresiliencewater demand specificationgeo-referenced datalocal climate zones |
| spellingShingle | Imke-Sophie Rehm John Friesen Kevin Pouls Christoph Busch Hannes Taubenböck Peter F. Pelz A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced Data Water water distribution systems water infrastructure generation resilience water demand specification geo-referenced data local climate zones |
| title | A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced Data |
| title_full | A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced Data |
| title_fullStr | A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced Data |
| title_full_unstemmed | A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced Data |
| title_short | A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced Data |
| title_sort | method for modeling urban water infrastructures combining geo referenced data |
| topic | water distribution systems water infrastructure generation resilience water demand specification geo-referenced data local climate zones |
| url | https://www.mdpi.com/2073-4441/13/16/2299 |
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