Articles | Volume 22, issue 1
Hydrol. Earth Syst. Sci., 22, 331–350, 2018
https://doi.org/10.5194/hess-22-331-2018
Hydrol. Earth Syst. Sci., 22, 331–350, 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 et al.

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Cited articles

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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
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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.