An Evaluation Framework for Urban Pluvial Flooding Based on Open-Access Data
Identifying the location and estimating the magnitude of urban pluvial flooding events is essential to assess their impacts, particularly in areas where data are unavailable. The present work focused on developing and exemplifying a tool to evaluate urban pluvial flooding based on open-access inform...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Water |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4441/15/1/46 |
| _version_ | 1797431119621128192 |
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| author | Julian D. Reyes-Silva Diego Novoa Björn Helm Peter Krebs |
| author_facet | Julian D. Reyes-Silva Diego Novoa Björn Helm Peter Krebs |
| author_sort | Julian D. Reyes-Silva |
| collection | DOAJ |
| description | Identifying the location and estimating the magnitude of urban pluvial flooding events is essential to assess their impacts, particularly in areas where data are unavailable. The present work focused on developing and exemplifying a tool to evaluate urban pluvial flooding based on open-access information. The tool has three separate submodules: (1) sewer network generation and design; (2) hydrodynamic model development; (3) urban pluvial flood evaluation. Application of the first two modules in two catchments and comparison of these results with real data indicated that the tool was able to generate systems with realistic layouts and hydraulic properties. Hydrodynamic models derived from this data were able to simulate realistic flow dynamics. The third module was evaluated for one of the study cases. The results of this indicated that the current approach could be used to identify flood areas and associated flood depths during different rainfall scenarios. The outcomes of this study could be used in a wide variety of contexts. For example, it could provide information in areas with data scarcity or uncertainty or serve as a tool for prospective planning, design, and decision making. |
| first_indexed | 2024-03-09T09:38:23Z |
| format | Article |
| id | doaj.art-f922a8786dc848568f624cd77a682a15 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-09T09:38:23Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-f922a8786dc848568f624cd77a682a152023-12-02T01:13:30ZengMDPI AGWater2073-44412022-12-011514610.3390/w15010046An Evaluation Framework for Urban Pluvial Flooding Based on Open-Access DataJulian D. Reyes-Silva0Diego Novoa1Björn Helm2Peter Krebs3Department of Hydrosciences, Institute for Urban Water Management, TU Dresden, 01069 Dresden, GermanyDepartment of Hydrosciences, Institute for Urban Water Management, TU Dresden, 01069 Dresden, GermanyDepartment of Hydrosciences, Institute for Urban Water Management, TU Dresden, 01069 Dresden, GermanyDepartment of Hydrosciences, Institute for Urban Water Management, TU Dresden, 01069 Dresden, GermanyIdentifying the location and estimating the magnitude of urban pluvial flooding events is essential to assess their impacts, particularly in areas where data are unavailable. The present work focused on developing and exemplifying a tool to evaluate urban pluvial flooding based on open-access information. The tool has three separate submodules: (1) sewer network generation and design; (2) hydrodynamic model development; (3) urban pluvial flood evaluation. Application of the first two modules in two catchments and comparison of these results with real data indicated that the tool was able to generate systems with realistic layouts and hydraulic properties. Hydrodynamic models derived from this data were able to simulate realistic flow dynamics. The third module was evaluated for one of the study cases. The results of this indicated that the current approach could be used to identify flood areas and associated flood depths during different rainfall scenarios. The outcomes of this study could be used in a wide variety of contexts. For example, it could provide information in areas with data scarcity or uncertainty or serve as a tool for prospective planning, design, and decision making.https://www.mdpi.com/2073-4441/15/1/46data scarcityautomatic sewer generatorsewer system |
| spellingShingle | Julian D. Reyes-Silva Diego Novoa Björn Helm Peter Krebs An Evaluation Framework for Urban Pluvial Flooding Based on Open-Access Data Water data scarcity automatic sewer generator sewer system |
| title | An Evaluation Framework for Urban Pluvial Flooding Based on Open-Access Data |
| title_full | An Evaluation Framework for Urban Pluvial Flooding Based on Open-Access Data |
| title_fullStr | An Evaluation Framework for Urban Pluvial Flooding Based on Open-Access Data |
| title_full_unstemmed | An Evaluation Framework for Urban Pluvial Flooding Based on Open-Access Data |
| title_short | An Evaluation Framework for Urban Pluvial Flooding Based on Open-Access Data |
| title_sort | evaluation framework for urban pluvial flooding based on open access data |
| topic | data scarcity automatic sewer generator sewer system |
| url | https://www.mdpi.com/2073-4441/15/1/46 |
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