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Influence of urban pattern on inundation flow in floodplains of lowland rivers.
Bruwier, M; Mustafa, A; Aliaga, D G; Archambeau, P; Erpicum, S; Nishida, G; Zhang, X; Pirotton, M; Teller, J; Dewals, B.
Afiliación
  • Bruwier M; Hydraulics in Environmental and Civil Engineering (HECE), University of Liege (ULiège), Belgium. Electronic address: mbruwier@uliege.be.
  • Mustafa A; Local Environment Management and Analysis (LEMA), University of Liege (ULiège), Belgium.
  • Aliaga DG; Department of Computer Science, Purdue University, USA.
  • Archambeau P; Hydraulics in Environmental and Civil Engineering (HECE), University of Liege (ULiège), Belgium.
  • Erpicum S; Hydraulics in Environmental and Civil Engineering (HECE), University of Liege (ULiège), Belgium.
  • Nishida G; Department of Computer Science, Purdue University, USA.
  • Zhang X; Department of Computer Science, Purdue University, USA.
  • Pirotton M; Hydraulics in Environmental and Civil Engineering (HECE), University of Liege (ULiège), Belgium.
  • Teller J; Local Environment Management and Analysis (LEMA), University of Liege (ULiège), Belgium.
  • Dewals B; Hydraulics in Environmental and Civil Engineering (HECE), University of Liege (ULiège), Belgium.
Sci Total Environ ; 622-623: 446-458, 2018 May 01.
Article en En | MEDLINE | ID: mdl-29220769
The objective of this paper is to investigate the respective influence of various urban pattern characteristics on inundation flow. A set of 2000 synthetic urban patterns were generated using an urban procedural model providing locations and shapes of streets and buildings over a square domain of 1×1km2. Steady two-dimensional hydraulic computations were performed over the 2000 urban patterns with identical hydraulic boundary conditions. To run such a large amount of simulations, the computational efficiency of the hydraulic model was improved by using an anisotropic porosity model. This model computes on relatively coarse computational cells, but preserves information from the detailed topographic data through porosity parameters. Relationships between urban characteristics and the computed inundation water depths have been based on multiple linear regressions. Finally, a simple mechanistic model based on two district-scale porosity parameters, combining several urban characteristics, is shown to capture satisfactorily the influence of urban characteristics on inundation water depths. The findings of this study give guidelines for more flood-resilient urban planning.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Total Environ Año: 2018 Tipo del documento: Article Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Total Environ Año: 2018 Tipo del documento: Article Pais de publicación: Países Bajos