Articles | Volume 22, issue 1
https://doi.org/10.5194/hess-22-331-2018
https://doi.org/10.5194/hess-22-331-2018
Research article
 | 
15 Jan 2018
Research article |  | 15 Jan 2018

Scale effect challenges in urban hydrology highlighted with a distributed hydrological model

Abdellah Ichiba, Auguste Gires, Ioulia Tchiguirinskaia, Daniel Schertzer, Philippe Bompard, and Marie-Claire Ten Veldhuis

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Cited articles

Blöschl, G. and Sivapalan, M.: Scale issues in hydrological modelling: A review, Hydrol. Process., 9, 251–290, 1995. a, b
Daniel, E. B., Camp, J. V., LeBoeuf, E. J., Penrod, J. R., Dobbins, J. P., and Abkowitz, M. D.: Watershed modeling and its applications: A state-of-the-art review, Open Hydrology Journal, 5, 26–50, 2011. a
Dehotin, J. and Braud, I.: Which spatial discretization for distributed hydrological models? Proposition of a methodology and illustration for medium to large-scale catchments, Hydrol. Earth Syst. Sci., 12, 769–796, https://doi.org/10.5194/hess-12-769-2008, 2008. a, b
El Tabach, E., Tchiguirinskaia, I., and Mahmood, O., and Schertzer: Multi-Hydro: a spatially distributed numerical model to assess and manage runoff processes in peri- urban watersheds, in: Proceedings Final conference of the COST Action C22 Urban Flood Management, Paris, France, 26 November 2009. a
Elliott, A. H. and Trowsdale, S. A.: A review of models for low impact urban stormwater drainage, Environ. Modell. Softw., 22, 394–405, 2007. a
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This paper proposes a two-step investigation to illustrate the extent of scale effects in urban hydrology. First, fractal tools are used to highlight the scale dependency observed within GIS data inputted in urban hydrological models. Then an intensive multi-scale modelling work was carried out to confirm effects on model performances. The model was implemented at 17 spatial resolutions ranging from 100 to 5 m. Results allow the understanding of scale challenges in hydrology modelling.