A Numerical Model for Two-Dimensional Flood Routing in Complex Terrains

Tsakiris, George; Bellos, Vasilis

doi:10.1007/s11269-014-0540-3

Cited by 54 publications

(30 citation statements)

References 20 publications

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“…It is interesting to note that 3-D models are still very expensive to run, and the additional information they offer is not of great importance for the calculation of the impacts (Tsakiris and Bellos, 2014). Therefore, it seems that 2-D models are sufficient for this type of modelling.…”

Section: Flood Modelling In Urban Areas With Mild Terrainmentioning

confidence: 99%

“…Details of the model are given by Tsakiris and Bellos (2014). Here, only a brief description follows.…”

Section: Flood Modelling In Urban Areas With Mild Terrainmentioning

confidence: 99%

“…Both maps of water depth (h (m)) and water velocities (V (m s −1 )) are presented in Fig. 6 (Tsakiris and Bellos, 2014). In other applications of the model, representation of the built-up areas was given first priority.…”

Section: Flood Modelling In Urban Areas With Mild Terrainmentioning

confidence: 99%

See 2 more Smart Citations

Flood risk assessment: concepts, modelling, applications

Tsakiris

2014

Nat. Hazards Earth Syst. Sci.

146

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Abstract. Natural hazards have caused severe consequences to the natural, modified and human systems in the past. These consequences seem to increase with time due to both the higher intensity of the natural phenomena and the higher value of elements at risk. Among the water-related hazards, flood hazards have the most destructive impacts. The paper presents a new systemic paradigm for the assessment of flood hazard and flood risk in the riverine flood-prone areas. Special emphasis is given to the urban areas with mild terrain and complicated topography, in which 2-D fully dynamic flood modelling is proposed. Further, the EU flood directive is critically reviewed and examples of its implementation are presented. Some critical points in the flood directive implementation are also highlighted.

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Section: Flood Modelling In Urban Areas With Mild Terrainmentioning

confidence: 99%

“…Details of the model are given by Tsakiris and Bellos (2014). Here, only a brief description follows.…”

Section: Flood Modelling In Urban Areas With Mild Terrainmentioning

confidence: 99%

See 1 more Smart Citation

Flood risk assessment: concepts, modelling, applications

Tsakiris

2014

Nat. Hazards Earth Syst. Sci.

146

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“…Advanced numerical models for detailed flood simulations could be used, particularly in floodplains characterised by mild terrain and built environment. Tsakiris and Bellos (2014) and Bellos and Tsakiris (2014) have proposed a new powerful numerical hydrodynamic model that simulates flood routing in two dimensions. The model has been tested successfully in built up areas.…”

Section: Objectivementioning

confidence: 99%

Flood Depth-Damage Functions for Built Environment

2014

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A conventional approach for the economic estimation of direct flood damage to buildings is using the method of depth-damage functions. However, there are few publications that describe in detail the derivation of depth-damage functions based on actual flood damage data. It still remains an open issue whether a site-specific depthdamage function can be applied to another region with similar climate and building conditions. This paper aims at demonstrating a step-by-step methodology for devising depth-damage functions using data from a flood event which occurred in Moschato, a suburb of Athens, Greece in July 2002. It also compares the developed depth-damage functions to functions from other areas with similar conditions. In the case study, the damage percentage is calculated per category of flood-affected property on the basis of relief payments. The replacement cost of the affected components of a building structure and the market value of each category of flood-affected property are estimated in order to develop depth-damage relationships for building structures. The local depth-damage function for residential use is compared to generalized functions and a site-specific function developed for the urban area of Palermo, Italy. Differences and similarities in damage datasets are examined and explained by related causative factors such as structural or architectural features of buildings. Finally, the application of both of the above functions to a third case (the Erasinos river basin in Attica, Greece) resulted in a fair difference (9 %) in the estimation of the expected average annual direct damage to residential buildings.

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“…• the 2D hydrodynamic model used in the UH derivation, which is the in-house FLOW-R2D model [13]; • the SWMM software [14,15] used in the calculation of the losses in order to derive the effective rainfall depth; • the surrogate model, which is an in-house model based on a non-intrusive Polynomial Chaos Expansion technique [16]; • the area where the proposed strategy is implemented, which is a small urban catchment located in Kypseli, the centre of Athens, Greece.…”

Section: Methodsmentioning

confidence: 99%

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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A Numerical Model for Two-Dimensional Flood Routing in Complex Terrains

Cited by 54 publications

References 20 publications

Flood risk assessment: concepts, modelling, applications

Flood risk assessment: concepts, modelling, applications

Flood Depth-Damage Functions for Built Environment

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

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