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Laboratory modelling of urban flooding
This paper presents two datasets obtained from laboratory experiments of urban flooding in a street network performed at the University of Liège. The experimental model represents a part of a synthetic urban district that consists of three inlets, three outlets and several three- and four- branches...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001668/ https://www.ncbi.nlm.nih.gov/pubmed/35411003 http://dx.doi.org/10.1038/s41597-022-01282-w |
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author | Li, Xuefang Erpicum, Sébastien Mignot, Emmanuel Archambeau, Pierre Pirotton, Michel Dewals, Benjamin |
author_facet | Li, Xuefang Erpicum, Sébastien Mignot, Emmanuel Archambeau, Pierre Pirotton, Michel Dewals, Benjamin |
author_sort | Li, Xuefang |
collection | PubMed |
description | This paper presents two datasets obtained from laboratory experiments of urban flooding in a street network performed at the University of Liège. The experimental model represents a part of a synthetic urban district that consists of three inlets, three outlets and several three- and four- branches crossroads. The following experimental data was produced: (i) dataset 1: time-series of flow depths at model inlets and time-series of discharges at model outlets for a two-branch junction model, a two-branch bifurcation model and a district model. The datasets were generated by varying the upstream and downstream boundary conditions, i.e. flooding conditions; (ii) dataset 2 includes the same data type as dataset 1 complemented by 2D surface velocity measured using the non-intrusive LSPIV technique for eight urban form configurations in the district model. The collected data enable improving the understanding of the effect of urban forms on the urban flood processes. These two datasets are valuable for validating and improving numerical or analytical models of urban flooding and may contribute to flood risk management and flood-resilient urban design. |
format | Online Article Text |
id | pubmed-9001668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90016682022-04-27 Laboratory modelling of urban flooding Li, Xuefang Erpicum, Sébastien Mignot, Emmanuel Archambeau, Pierre Pirotton, Michel Dewals, Benjamin Sci Data Data Descriptor This paper presents two datasets obtained from laboratory experiments of urban flooding in a street network performed at the University of Liège. The experimental model represents a part of a synthetic urban district that consists of three inlets, three outlets and several three- and four- branches crossroads. The following experimental data was produced: (i) dataset 1: time-series of flow depths at model inlets and time-series of discharges at model outlets for a two-branch junction model, a two-branch bifurcation model and a district model. The datasets were generated by varying the upstream and downstream boundary conditions, i.e. flooding conditions; (ii) dataset 2 includes the same data type as dataset 1 complemented by 2D surface velocity measured using the non-intrusive LSPIV technique for eight urban form configurations in the district model. The collected data enable improving the understanding of the effect of urban forms on the urban flood processes. These two datasets are valuable for validating and improving numerical or analytical models of urban flooding and may contribute to flood risk management and flood-resilient urban design. Nature Publishing Group UK 2022-04-11 /pmc/articles/PMC9001668/ /pubmed/35411003 http://dx.doi.org/10.1038/s41597-022-01282-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Li, Xuefang Erpicum, Sébastien Mignot, Emmanuel Archambeau, Pierre Pirotton, Michel Dewals, Benjamin Laboratory modelling of urban flooding |
title | Laboratory modelling of urban flooding |
title_full | Laboratory modelling of urban flooding |
title_fullStr | Laboratory modelling of urban flooding |
title_full_unstemmed | Laboratory modelling of urban flooding |
title_short | Laboratory modelling of urban flooding |
title_sort | laboratory modelling of urban flooding |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001668/ https://www.ncbi.nlm.nih.gov/pubmed/35411003 http://dx.doi.org/10.1038/s41597-022-01282-w |
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