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Luis Cea      
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Luis Cea published an article in May 2016.
Top co-authors
Jerónimo Puertas

11 shared publications

Guillaume Nord

9 shared publications

Université Grenoble Alpes/CNRS/G-INP/IRD; LTHE UMR 5564; Grenoble F-38041 France

Ignacio Fraga

4 shared publications

Publication Record
Distribution of Articles published per year 
(2012 - 2016)
Total number of journals
published in
Article 1 Read 2 Citations Global Sensitivity and GLUE-Based Uncertainty Analysis of a 2D-1D Dual Urban Drainage Model Ignacio Fraga, Luis Cea, Jerónimo Puertas, Joaquín Suárez, V... Published: 01 May 2016
Journal of Hydrologic Engineering, doi: 10.1061/(asce)he.1943-5584.0001335
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This paper presents a global sensitivity and uncertainty analysis of a dual drainage model applied to a 0.049 km2 (4.9-ha) urban catchment based on generalized likelihood uncertainty estimation (GLUE). The model solves the nonlinear bidimensional (2D) and one-dimensional (1D) Saint-Venant equations to compute respectively the surface runoff and the flow in the sewer network. The sensitivity of the outlet hydrograph to the input parameters of the model was determined by using variance-based Sobol sensitivity indices. These indices highlight the great effect of the overland flow parameters on the model output, in contrast with the limited effect of the sewer-network parameters. The Manning coefficient of the impervious terrains was identified as the most influential model parameter. The effect on model calibration of two subjective factors of the GLUE methodology (the acceptability threshold and the shaping factor of the likelihood function) was analyzed. From this analysis, a NSE acceptability threshold of 0.6 and a shaping factor of 1 were adopted for model calibration. Greater values of these parameters resulted in very narrow uncertainty bounds and therefore in low coverage ratios. The results obtained after calibration and validation show a satisfactory performance of the model, with NSE values within 0.78 and 0.98 and coverage ratios of the 95% confidence intervals in the range 66–91%. The worst performances are obtained in the events with lowest rainfall depths, since in those cases the overland flow in the whole catchment is extremely shallow and the runoff propagation is not well captured by the model.
Article 1 Read 1 Citation Impact of model simplifications on soil erosion predictions: application of the GLUE methodology to a distributed event-... Luis Cea, Cédric Legout, Thomas Grangeon, Guillaume Nord Published: 29 October 2015
Hydrological Processes, doi: 10.1002/hyp.10697
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In this paper, we analyse how the performance and calibration of a distributed event-based soil erosion model at the hillslope scale is affected by different simplifications on the parameterizations used to compute the production of suspended sediment by rainfall and runoff. Six modelling scenarios of different complexity are used to evaluate the temporal variability of the sedimentograph at the outlet of a 60 m long cultivated hillslope. The six scenarios are calibrated within the generalized likelihood uncertainty estimation framework in order to account for parameter uncertainty, and their performance is evaluated against experimental data registered during five storm events. The Nash–Sutcliffe efficiency, percent bias and coverage performance ratios show that the sedimentary response of the hillslope in terms of mass flux of eroded soil can be efficiently captured by a model structure including only two soil erodibility parameters, which control the rainfall and runoff production of suspended sediment. Increasing the number of parameters makes the calibration process more complex without increasing in a noticeable manner the predictive capability of the model. Copyright © 2015 John Wiley & Sons, Ltd.
Article 1 Read 5 Citations Computer application for the analysis and design of vertical slot fishways in accordance with the requirements of the ta... Luis Balairón, Ángel Lara, Enrique Aramburu, Jerónimo Puerta... Published: 01 November 2012
Ecological Engineering, doi: 10.1016/j.ecoleng.2011.05.009
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Vertical slot fishways are widely used and are generally very effective in ensuring fish passage. The appropriate design of a vertical slot fishway depends on an interplay between hydraulic and biological variables, since the hydrodynamic properties of the fishway must meet the requirements of the fish species for which it is intended.This paper presents a tool designed to analyze the efficiency of a fishway model according to biological criteria. The application can be used either in the analysis of an existing fishway or in the design process of a new one. It allows the user to choose between a wide range of geometric dimensions of the pools and the slot, and between different fish species. If it is being used as a design tool, it provides feasible fishway models sorted according to their biological efficiency.Considering the complexity of the hydraulic and biological phenomena involved in the process of swimming through a fishway, the tool presented here does not intend to determine an optimum design, but rather to establish an objective way for comparing different fishway designs, considering not only hydraulic aspects but also trying to quantify biological aspects of the target fish species.