2D overland flow modelling using fine scale DEM with manageable runtimes

Hartnack, Johan; Enggrob, Hans Gustav; Rungø, M

doi:10.1201/9780203883020.ch14

Cited by 4 publications

(5 citation statements)

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“…Hydrodynamic and advection-dispersion urban flood models, which describe the transport of pollutants and water flow in the urban drainage system and on the surface, were used to determine the concentrations of pollutants in the surface flood waters (Hartnack et al, 2009). That is, the drainage model was applied to estimate the quality of the mixture of wastewater and storm water spilled from the urban drainage system to the surface during flooding.…”

Section: Methodsmentioning

confidence: 99%

“…The urban drainage network in the model was described by use of a MIKE FLOOD, a 1D hydrodynamic model, while the surface flow is computed using a 2D model (Hartnack et al, 2009). The 2D model reproduces the urban surface topography, allowing for the hydrodynamic simulation of surface flood water.…”

Section: Modelling Of Urban Floodingmentioning

confidence: 99%

“…The 2D model reproduces the urban surface topography, allowing for the hydrodynamic simulation of surface flood water. This flood simulation approach is commonly used for urban flood studies (Schmitt et al, 2004;Mark and Djordjević, 2006;Carr and Smith, 2007) and is available in software packages such as INFOWORKS (Innovyze, 2013; Rubinato et al, 2013) and MIKE FLOOD (Hartnack et al, 2009). The accuracy of these 2D flood models depends on the accuracy and resolution of the digital terrain model and its links with the 1D urban drainage model.…”

Section: Modelling Of Urban Floodingmentioning

confidence: 99%

“…The simulation of the pathogens and their transport in the urban drainage system and on the surface were carried out using a 1D advection-dispersion model (MOUSE TRAP) (Garsdal et al, 1995) of the urban drainage system, which was coupled with a 2D advection-dispersion model (MIKE 21) (Hartnack et al, 2009). The 1D advection-dispersion models have previously been applied to cases for simulation of the transport and dilution of wastewater (Mark et al, 1996(Mark et al, , 1998Andersen et al, 2013).…”

Section: Modelling Of Concentration In Urban Flood Watermentioning

confidence: 99%

See 3 more Smart Citations

A new methodology for modelling of health risk from urban flooding exemplified by cholera – case Dhaka, Bangladesh

Mark

Jørgensen

Hammond

et al. 2015

J Flood Risk Management

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The phenomenon of urban flooding due to rainfall exceeding the design capacity of drainage systems is a global problem and can have significant economic and social consequences. This is even more extreme in developing countries, where poor sanitation still causes a high infectious disease burden and mortality, especially during floods. At present, there are no software tools capable of combining hydrodynamic modelling and health risk analyses, and the links between urban flooding and the health risk for the population due to direct contact with the flood water are poorly understood. The present paper outlines a novel methodology for linking dynamic urban flood modelling with quantitative microbial risk assessment (QMRA). This provides a unique possibility for understanding the interaction between urban flooding and health risk caused by direct human contact with the flood water and hence gives an option for reducing the burden of disease in the population by use of intelligent urban flood risk management. The model linking urban flooding and health risk is applied to Dhaka City in Bangladesh, where waterborne diseases including cholera are endemic. The application to Dhaka City is supported by measurements of pathogens in the urban drainage system. The outcome of the application indicates that direct contact with polluted flood water is a plausible route of primary transmission of cholera and demonstrates the applicability and the potential for linking urban flood models with QMRA in order to identify interventions to reduce the burden of disease on the population in Dhaka City.

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Section: Methodsmentioning

confidence: 99%

Section: Modelling Of Urban Floodingmentioning

confidence: 99%

Section: Modelling Of Urban Floodingmentioning

confidence: 99%

Section: Modelling Of Concentration In Urban Flood Watermentioning

confidence: 99%

See 2 more Smart Citations

A new methodology for modelling of health risk from urban flooding exemplified by cholera – case Dhaka, Bangladesh

Mark

Jørgensen

Hammond

et al. 2015

J Flood Risk Management

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“…However, continuous research and development are being conducted to reduce this computation time, focusing mainly on 2D model enhancement methods (Chen et al 2012b). Among grid coarsening methods, Hartnack et al (2009) have shown that a 2D multicell solver could reduce model runtimes by a factor of up to 10. This multicell solver, available in a commercial package (DHI 2012b), combines a coarse hydraulic computation grid with a ñne grid that contains topographical data.…”

Section: Id-id: Drainage Network Coupled To Street Network Modelmentioning

confidence: 99%

Real-time urban flood forecasting and modelling – a state of the art

Hénonin

Russo²,

Mark

et al. 2013

Journal of Hydroinformatics

185

104

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All urban drainage networks are designed to manage a maximum rainfall. This situation implies an accepted flood risk for any greater rainfall event. This risk is often underestimated as factors such as city growth and climate change are ignored. But even major structural changes cannot guarantee that urban drainage networks would cope with all future rain events. Thus, being able to forecast urban flooding in real time is one of the main issues of integrated flood risk management. Runoff and hydraulic models can be essential elements of flood forecast systems, as an active part of the system or as studying tools. This paper gives an overview of current available options for pluvial flood modelling in urban areas, from basic estimations with a onedimensional urban drainage model to detailed flood process representation with one dimensional-two dimensional hydrodynamic coupled models. Each type of modelling solution is described with pros and cons regarding urban flood analysis. The paper then elaborates on real-time flood forecast systems and the influence of their main components. A classification of real-time urban flood systems is given based on the use of urban models, i.e. empirical scenarios, pre-simulated scenarios and real-time simulations. A review of existing operational systems is done using this classification.

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