A hybrid method for flood simulation in small catchments combining hydrodynamic and hydrological techniques

Bellos, Vasilis; Tsakiris, George

doi:10.1016/j.jhydrol.2016.06.040

Cited by 79 publications

(53 citation statements)

References 21 publications

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“…Dargahi and Setegn (2011) combined a watershed hydrological (soil and water assessment tool, SWAT) model with a 3-D hydrodynamic model (GEMSS) to simulate the Lake Tana basin to address the impact of climate change. Bellos and Tsakiris (2016) combined hydrological and hydrodynamic techniques for flood simulation in the Halandri catchment. However, the method combing a hydrological model and a hydrodynamic model is rarely applied in such ungauged zones.…”

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confidence: 99%

Stream flow simulation and verification in ungauged zones by coupling hydrological and hydrodynamic models: a case study of the Poyang Lake ungauged zone

Zhang

Chen

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. To solve the problem of estimating and verifying stream flow without direct observation data, we estimated stream flow in ungauged zones by coupling a hydrological model with a hydrodynamic model, using the Poyang Lake basin as a test case. To simulate the stream flow of the ungauged zone, we built a soil and water assessment tool (SWAT) model for the entire catchment area covering the upstream gauged area and ungauged zone, and then calibrated the SWAT model using the data in the gauged area. To verify the results, we built two hydrodynamic scenarios (the original and adjusted scenarios) for Poyang Lake using the Delft3D model. In the original scenario, the upstream boundary condition is the observed stream flow from the upstream gauged area, while, in the adjusted scenario, it is the sum of the observed stream flow from the gauged area and the simulated stream flow from the ungauged zone. The experimental results showed that there is a stronger correlation and lower bias (R 2 = 0.81, PBIAS = 10.00 %) between the observed and simulated stream flow in the adjusted scenario compared to that (R 2 = 0.77, PBIAS = 20.10 %) in the original scenario, suggesting the simulated stream flow of the ungauged zone is reasonable. Using this method, we estimated the stream flow of the Poyang Lake ungauged zone as 16.4 ± 6.2 billion m 3 a −1 , representing ∼ 11.24 % of the annual total water yield of the entire watershed. Of the annual water yield, 70 % (11.48 billion m 3 a −1 ) is concentrated in the wet season, while 30 % (4.92 billion m 3 a −1 ) comes from the dry season. The ungauged stream flow significantly improves the water balance with the closing error decreased by 13.48 billion m 3 a −1 (10.10 % of the total annual water resource) from 30.20 ± 9.1 billion m 3 a −1 (20.10 % of the total annual water resource) to 16.72 ± 8.53 billion m 3 a −1 (10.00 % of the total annual water resource). The method can be extended to other lake, river, or ocean basins where observation data is unavailable.

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confidence: 99%

Stream flow simulation and verification in ungauged zones by coupling hydrological and hydrodynamic models: a case study of the Poyang Lake ungauged zone

Zhang

Chen

et al. 2017

Hydrol. Earth Syst. Sci.

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“…Ten-minute UHs were derived, hence the input rainfall had an intensity of 1.67 mm/h. Regarding the required parameters, based on past experience [9], the time step was determined as ∆t = 10 −3 s, the threshold which distinguishes the wet and dry cells as h dry = 10 −4 m, and the diffusion factor as ω = 0.99.…”

Section: Uh Derivation Using Flow-r2dmentioning

confidence: 99%

“…For mass conservation purposes, each of the derived UHs is multiplied by a correction factor, which was determined by dividing the volume of the water entered in the computational domain through rainfall by the volume of the water of the UH [9]. The time step of the UH was 30 s.…”

Section: Uh Derivation Using Flow-r2dmentioning

confidence: 99%

“…The first step of the proposed strategy is based on our previous work [9], in which a physically-based hydrodynamic model was used, in addition to the hydrological unit hydrograph (UH) theory, in an attempt to simulate the runoff of a real flash flood event in a rural catchment. The methodology for simplification consists of the following three steps: (a) the UH of the catchment is derived using a 2D hydrodynamic model; (b) the effective rainfall depth is calculated through determination of the losses using either empirical equations or software for hydrological analysis; (c) the final flood hydrograph is derived using the principle of proportionality and superposition.…”

Section: Introductionmentioning

confidence: 99%

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Quantifying Roughness Coefficient Uncertainty in Urban Flooding Simulations through a Simplified Methodology

Bellos

Kourtis

Moreno-Rodenas

et al. 2017

Water

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Abstract:A methodology is presented which can be used in the evaluation of parametric uncertainty in urban flooding simulation. Due to the fact that such simulations are time consuming, the following methodology is proposed: (a) simplification of the description of the physical process; (b) derivation of a training data set; (c) development of a data-driven surrogate model; (d) use of a forward uncertainty propagation scheme. The simplification comprises the following steps: (a) unit hydrograph derivation using a 2D hydrodynamic model; (b) calculation of the losses in order to determine the effective rainfall depth; (c) flood event simulation using the principle of the proportionality and superposition. The above methodology was implemented in an urban catchment located in the city of Athens, Greece. The model used for the first step of the simplification was FLOW-R2D, whereas the well-known SWMM software (US Environmental Protection Agency, Washington, DC, USA) was used for the second step of the simplification. For the training data set derivation, an ensemble of 100 Unit Hydrographs was derived with the FLOW-R2D model. The parameters which were modified in order to produce this ensemble were the Manning coefficients in the two friction zones (residential and urban open space areas). The surrogate model used to replicate the unit hydrograph derivation, using the Manning coefficients as an input, was based on the Polynomial Chaos Expansion technique. It was found that, although the uncertainties in the derived results have to be taken into account, the proposed methodology can be a fast and efficient way to cope with dynamic flood simulation in an urban catchment.

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“…Some authors have attempted to use hybrid models combining hydrological and hydrodynamic modules [ Bellos and Tsakiris, 2016]. Others have used models that were conceived to give a thorough representation of storm water and wastewater dynamics [Petrucci and Bonhomme, 2014], [Zarriello, 1998] and some have resorted to more « process based » models [Rodriguez et al, 2005] (see a review in [Elliot and Trowsdale, 2007] and [Zoppou, 2001]).…”

Section: Introductionmentioning

confidence: 99%

Large-Scale GIS-Based Urban Flood Modelling: A Case Study on the City of Ouagadougou

Bouvier

Chahinian

Adamovic

et al. 2018

Advances in Hydroinformatics

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A hybrid method for flood simulation in small catchments combining hydrodynamic and hydrological techniques

Cited by 79 publications

References 21 publications

Stream flow simulation and verification in ungauged zones by coupling hydrological and hydrodynamic models: a case study of the Poyang Lake ungauged zone

Stream flow simulation and verification in ungauged zones by coupling hydrological and hydrodynamic models: a case study of the Poyang Lake ungauged zone

Quantifying Roughness Coefficient Uncertainty in Urban Flooding Simulations through a Simplified Methodology

Large-Scale GIS-Based Urban Flood Modelling: A Case Study on the City of Ouagadougou

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