Citywide multi-grid urban flood modelling: the July 2012 flood in Beijing

Hénonin, J; Hongtao, Ma; Yang, Zhengyu; Hartnack, Johan; Havnø, Karsten; Gourbesville, Philippe; Mark, Ole

doi:10.1080/1573062x.2013.851710

Cited by 58 publications

(27 citation statements)

References 8 publications

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“…At the city-scale, a recent study (Hénonin et al 2013) simulates the July 2012 event that occurred in Beijing, focusing on the use of multi-grid approaches in a 2D commercial model (MIKE 21, DHI 2010) whereby a sub-grid finer mesh is nested within a coarser one Lane 2006b, 2011). Due to data constrain, simulations were undertaken at selected five sites rather than the whole city (1000 km 2 ), with areas ranging from 8.3 to 44.9 km 2 .…”

Section: Introductionmentioning

confidence: 99%

Validating city-scale surface water flood modelling using crowd-sourced data

Yin

Liu

2016

Environ. Res. Lett.

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Section: Introductionmentioning

confidence: 99%

Validating city-scale surface water flood modelling using crowd-sourced data

Yin

Liu

2016

Environ. Res. Lett.

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“…Consequently, most porous urban flood models assign a constant porosity to each cell which only depends on the fraction of the cell occupied by buildings. An exception is the urban flood model presented in Henonin et al (2015), wherein the authors calculate the inundated area of each cell according to the water elevation and use it in the mass balance. Although the authors do not explicitly use porosity terms, the model in Henonin et al (2015) is essentially equivalent to a single porosity model with a depth-dependent porosity.…”

Section: Introductionmentioning

confidence: 99%

Urban flood modeling using shallow water equations with depth-dependent anisotropic porosity

Özgen

Zhao

Liang

et al. 2016

Journal of Hydrology

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Hinkelmann, R. (2016). Urban flood modeling using shallow water equations with depth-dependent anisotropic porosity. Journal of Hydrology, 541, 1165Hydrology, 541, -1184Hydrology, 541, . https://doi.org/10.1016Hydrology, 541, /j.jhydrol.2016 Özgen, I.; Zhao, J.; Liang, D.; Hinkelmann, R.Urban flood modeling using shallow water equations with depth-dependent anisotropic porosity The shallow water model with anisotropic porosity conceptually takes into account the unresolved subgrid-scale features, e.g. microtopography or buildings. This enables computationally efficient simulations that can be run on coarser grids, whereas reasonable accuracy is maintained via the introduction of porosity. This article presents a novel numerical model for the depth-averaged equations with anisotropic porosity. The porosity is calculated using the probability mass function of the subgrid-scale features in each cell and updated in each time step. The model is tested in a one-dimensional theoretical benchmark before being evaluated against measurements and high-resolution predictions in three case studies: a dam-break over a triangular bottom sill, a dam-break through an idealized city and a rainfall-runoff event in an idealized urban catchment. The physical processes could be approximated relatively well with the anisotropic porosity shallow water model. The computational resolution influences the porosities calculated at the cell edges and therefore has a large influence on the quality of the solution. The computational time decreased significantly, on average three orders of magnitude, in comparison to the classical high-resolution shallow water model simulation.

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“…The lack of surface flood information leaves model parameters such as ground roughness with large uncertainty (Hunter et al, 2008). The lack of surface flood data is regularly brought up in urban flood modelling research (Fewtrell et al, 2011;Hénonin et al, 2015;Sampson et al, 2012;Schmitt et al, 2004) and is detrimental to 30 the objective evaluation of flood models (Dottori and Todini, 2013). Additionally, the lack of data limits the detail in which events can be modelled (Ciervo et al, 2015).…”

Section: The Need For Comprehensive Urban Flood Data 20mentioning

confidence: 99%

floodX: Urban flash flood experiments monitored with conventional and alternative sensors

Vitry¹,

Dicht²,

Leitão³

2017

Preprint

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The data sets described in this paper provide a basis for developing and testing new methods for monitoring and modelling urban pluvial flash floods. Pluvial flash floods are a growing hazard to property and inhabitants' well-being in urban areas. However, the lack of appropriate data collection methods is often cited as an impediment for reliable flood modelling, thereby hindering the improvement of flood risk mapping and early warning systems. The potential of surveillance infrastructure and social media is starting to draw attention for this purpose. In the floodX project, 22 controlled urban flash floods were generated in a flood response training facility and monitored with state-of-the-art sensors as well as standard surveillance cameras. With these data, it is possible to explore the use of video data and computer vision for urban flood monitoring and modelling. The floodX project stands out as the largest documented flood experiment of its kind, providing both conventional measurements and video data in parallel and at high temporal resolution.

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Citywide multi-grid urban flood modelling: the July 2012 flood in Beijing

Cited by 58 publications

References 8 publications

Validating city-scale surface water flood modelling using crowd-sourced data

Validating city-scale surface water flood modelling using crowd-sourced data

Urban flood modeling using shallow water equations with depth-dependent anisotropic porosity

floodX: Urban flash flood experiments monitored with conventional and alternative sensors

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