Model for Estimating the Time of Concentration in Watersheds

Almeida, Isabel Kaufmann de; Almeida, Aleska Kaufmann; Steffen, Jorge Luiz; Sobrinho, Teodorico Alves

doi:10.1007/s11269-016-1383-x

Cited by 21 publications

(21 citation statements)

References 30 publications

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“…The basin concentration time is estimated using the formulation of Bransby Williams (Almeida et al, 2015), which depends on the main channel length L, the catchment area A and the average catchment slope S: t c = 0.605 L A 0.1 S 0.2 . The basin concentration time represents the time required for a single raindrop to travel from the hydraulically most distant point in the watershed to the outlet.…”

Section: Appendix A: Basin Characteristic Timesmentioning

confidence: 99%

Assessing the impact of resolution and soil datasets on flash-flood modelling

Lovat¹,

Vincendon²,

Ducrocq³

2018

Preprint

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Abstract. The present study assesses the impacts of the grid resolution and the descriptors of soil texture and land cover on flash-flood modelling at local and basin scales. The ISBA-TOP coupled system, which is dedicated to Mediterranean flash-flood simulations, is used with two grid-cell sizes (300 m and 1000 m) and various soil datasets to model 12 past flash-flood events in southeastern France. The skill of the hydrological simulations is assessed using conventional data (discharge measurements from operational networks) and proxy data such as post-event surveys and high-water marks. The results show significant 5 differences between the experiments in terms of both the simulated river discharge and the spatial runoff, whether at the catchment scale or at the local scale. The spatial resolution has the largest impact on the hydrological simulations. In this study, it is also shown that the soil texture has a larger impact on the results than the land cover.

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Section: Appendix A: Basin Characteristic Timesmentioning

confidence: 99%

Assessing the impact of resolution and soil datasets on flash-flood modelling

Lovat¹,

Vincendon²,

Ducrocq³

2018

Preprint

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“…The UH only requires a decay parameter corresponding to the lag or response time of the considered basin, which controls the delay between the rainfall event and the resulting streamflow peak. This is estimated with the Epsey method (Almeida et al, 2014), which requires the basin area, perime- ter, and the maximum and minimum elevations along the basin main river. The UH lag time is also used as a free parameter during calibration (Table 2).…”

Section: Modelsmentioning

confidence: 99%

A hydrological prediction system based on the SVS land-surface scheme: efficient calibration of GEM-Hydro for streamflow simulation over the Lake Ontario basin

Gaborit

Fortin

Xinwen

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. This work explores the potential of the distributed GEM-Hydro runoff modeling platform, developed at Environment and Climate Change Canada (ECCC) over the last decade. More precisely, the aim is to develop a robust implementation methodology to perform reliable streamflow simulations with a distributed model over large and partly ungauged basins, in an efficient manner. The latest version of GEM-Hydro combines the SVS (Soil, Vegetation and Snow) land-surface scheme and the WATROUTE routing scheme. SVS has never been evaluated from a hydrological point of view, which is done here for all major rivers flowing into Lake Ontario. Two established hydrological models are confronted to GEM-Hydro, namely MESH and WATFLOOD, which share the same routing scheme (WATROUTE) but rely on different land-surface schemes. All models are calibrated using the same meteorological forcings, objective function, calibration algorithm, and basin delineation. GEM-Hydro is shown to be competitive with MESH and WATFLOOD: the NSE √ (Nash-Sutcliffe criterion computed on the square root of the flows) is for example equal to 0.83 for MESH and GEM-Hydro in validation on the Moira River basin, and to 0.68 for WATFLOOD. A computationally efficient strategy is proposed to calibrate SVS: a simple unit hydrograph is used for routing instead of WATROUTE. Global and local calibration strategies are compared in order to estimate runoff for ungauged portions of the Lake Ontario basin.Overall, streamflow predictions obtained using a global calibration strategy, in which a single parameter set is identified for the whole basin of Lake Ontario, show accuracy comparable to the predictions based on local calibration: the average NSE √ in validation and over seven subbasins is 0.73 and 0.61, respectively for local and global calibrations. Hence, global calibration provides spatially consistent parameter values, robust performance at gauged locations, and reduces the complexity and computation burden of the calibration procedure. This work contributes to the Great Lakes Runoff Inter-comparison Project for Lake Ontario (GRIP-O), which aims at improving Lake Ontario basin runoff simulations by comparing different models using the same input forcings. The main outcome of this study consists in a new generalizable methodology for implementing a distributed hydrologic model with a high computation cost in an efficient and reliable manner, over a large area with ungauged portions, using global calibration and a unit hydrograph to replace the routing component.

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“…The exploration of HS implementation in hydrology has led to parameter estimation in the nonlinear Muskingum model [34], in the same model using a hybrid algorithm [35], in optimal groundwater remediation designs [36], in the optimization of storage operation [37], the estimation of design storms [38], the conceptual modeling of rain-runoff transformation considering seasonal variations [39], the estimation of time of concentration in basins [40], and the adjustment of Extreme Value Distribution (Type I) for two populations in series of annual maximum flows [17].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Parameters in the Generalized Extreme-Value Distribution Type 1 for Three Populations Using Harmonic Search

et al. 2019

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Due to its geographical position, Mexico is exposed annually to cold fronts and tropical cyclones, registering extremely high values that are atypical in the series of maximum annual flows. Univariate mixed probability distribution functions have been developed based on the theory of extreme values, which require techniques to determine their parameters. Therefore, this paper explores a function that considers three populations to analyze maximum annual flows. According to the structure of the Generalized Extreme-Value Distribution (GEV), the simultaneous definition of nine parameters is required: three of location, three of scale, and three of probability of occurrence. Thus, the use of a meta-heuristic technique was proposed (harmonic search). The precision of the adjustment was increased through the optimization of the parameters, and with it came a reduction in the uncertainty of the forecast, particularly for cyclonic events. It is concluded that the use of an extreme value distribution (Type I) structured with three populations and accompanied by the technique of harmonic search improves the performance in respect to classic techniques for the determination of its parameters.

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Model for Estimating the Time of Concentration in Watersheds

Cited by 21 publications

References 30 publications

Assessing the impact of resolution and soil datasets on flash-flood modelling

Assessing the impact of resolution and soil datasets on flash-flood modelling

A hydrological prediction system based on the SVS land-surface scheme: efficient calibration of GEM-Hydro for streamflow simulation over the Lake Ontario basin

Optimization of Parameters in the Generalized Extreme-Value Distribution Type 1 for Three Populations Using Harmonic Search

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