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  • 标题:Laboratory modelling of urban flooding
  • 本地全文:下载
  • 作者:Xuefang Li ; Sébastien Erpicum ; Emmanuel Mignot
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-10
  • DOI:10.1038/s41597-022-01282-w
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:This paper presents two datasets obtained from laboratory experiments of urban fooding 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 fow depths at model inlets and time- series of discharges at model outlets for a two-branchjunction model, a two-branch bifurcation model and a district model. The datasets were generated by varying the upstream and downstream boundary conditions, i.e. fooding 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 confgurations in the district model. The collected data enable improving the understanding of the efect of urban forms on the urban food processes. These two datasets are valuable for validating and improving numerical or analytical models of urban fooding and may contribute to food risk management and food-resilient urban design.
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