Comparing Various Methods of Building Representation for 2D Flood Modelling In Built-Up Areas

Bellos, Vasilis; Tsakiris, George

doi:10.1007/s11269-014-0702-3

Cited by 72 publications

(47 citation statements)

References 23 publications

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“…One of the most important aspects to consider in flood modelling of urban environments is the way which the resistance caused by buildings or other structures is represented in the model [22].…”

Section: Urban Drainage Modellingmentioning

confidence: 99%

Urban Flood Simulation Using MODCEL—An Alternative Quasi-2D Conceptual Model

Miguez

Battemarco

Sousa

et al. 2017

Water

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Urban flood modelling has been evolving in recent years, due to computational facilities as well as to the possibility of obtaining detailed terrain data. Flood control techniques have also been evolving to integrate both urban flood and urban planning issues. Land use control and flow generation concerns, as well as a set of possible distributed measures favouring storage and infiltration over the watershed, also gained importance in flood control projects, reinforcing the need to model the entire basin space. However, the use of 2D equations with highly detailed digital elevation models do not guarantee good results by their own. Urban geometry, including buildings shapes, walls, earth fills, and other structures may cause significant interference on flood paths. In this context, this paper presents an alternative urban flood model, focusing on the system behaviour and its conceptual interpretation. Urban Flood Cell Model-MODCEL is a hydrological-hydrodynamic model proposed to represent a complex flow network, with a set of relatively simple information, using average values to represent urban landscape through the flow-cell concept. In this work, to illustrate model capabilities, MODCEL is benchmarked in a test proposed by the British Environmental Agency. Then, its capability to represent storm drains is verified using measured data and a comparison with Storm Water Management Model (SWMM). Finally, it is applied in a lowland area of the Venetian continental plains, representing floods in a complex setup at the city of Noale and in its surroundings.

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Section: Urban Drainage Modellingmentioning

confidence: 99%

Urban Flood Simulation Using MODCEL—An Alternative Quasi-2D Conceptual Model

Miguez

Battemarco

Sousa

et al. 2017

Water

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“…In the dry cells, the water depth and the flow velocity are taken as zeros. In the following equations, the discretisation of the 2D-SWE using the McCormack numerical scheme is obtained in two steps, i.e., a predictor strep in Equation (4) and a corrector step in Equation (5):…”

Section: Flow-r2d Modelmentioning

confidence: 99%

“…There are several ways for representing the buildings in the relative literature [4,38]. In order to represent the complexity of the city's infrastructure, due to the fact that the Digital Terrain Model (DTM) is relatively coarse, the computational domain was categorised into two friction zones: (a) the residential area; and (b) the urban open space.…”

Section: Uh Derivation Using Flow-r2dmentioning

confidence: 99%

“…Urban flood modelling, as part of urban hydrology, is of great importance [1], because of the high risk it imposes on people and properties [2,3] as well as its increasing frequency of occurrence over the last decades. Due to the complexity of the urban environment, an accurate modelling of flooding demands at least a two-dimensional (2D) approach [4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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“…Recently, Bellos and Tsakiris (2015) discussed how to represent roughness effects of buildings in urban areas subject to flooding by carrying out numerical simulations. They tested the performance of their model against three different representations under three different flood hydrographs.…”

Section: Introductionmentioning

confidence: 99%

Two-dimensional numerical modeling of flood wave propagation in an urban area due to Ürkmez dam-break, İzmir, Turkey

2016

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This study investigated flood inundation in an urban area due to a possible failure of Ü rkmez Dam in İzmir, Turkey. The estimation of flood hydrograph upon partial failure of the dam and routing of the flood hydrograph along the narrow valley downstream were first performed by the one-dimensional hydraulic routing model HEC-RAS. The twodimensional hydraulic routing model FLO-2D is then used to simulate the spreading of the dam-break flood after the flood wave exits the valley. Land use and land cover digital maps were utilized to find the spatially varying roughness coefficient for the floodplain. The influence of the buildings on the flood propagation was represented in the numerical model by the area reduction factor as well as the width reduction factor. The peak flow depth, peak flow velocity and time moment of the peak flow depth maps were shown in the GIS environment. The results reveal that flow depths can reach about 3 m in the residential area. In about 40 min after the dam-break, houses in the large section of the town would be under the maximum flow depths. The two-dimensional hydrodynamic model results were tested against experimental dam-break flow data of the distorted physical model of Ü rkmez Dam, which is consisted of the reservoir, dam body and downstream area including Ü rkmez Town. The model successfully simulated experimental flow depth data measured at different measurement locations.

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Comparing Various Methods of Building Representation for 2D Flood Modelling In Built-Up Areas

Cited by 72 publications

References 23 publications

Urban Flood Simulation Using MODCEL—An Alternative Quasi-2D Conceptual Model

Urban Flood Simulation Using MODCEL—An Alternative Quasi-2D Conceptual Model

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

Two-dimensional numerical modeling of flood wave propagation in an urban area due to Ürkmez dam-break, İzmir, Turkey

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