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 one-dimensional 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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Research Article|
February 11 2013
Real-time urban flood forecasting and modelling – a state of the art
Justine Henonin;
1DHI, Agern Allé 5, DK-2970 Hørsholm, Denmark
E-mail: [email protected]
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Beniamino Russo;
Beniamino Russo
2CLABSA, c. Acer 16, 08038 Barcelona, Spain
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Ole Mark;
Ole Mark
1DHI, Agern Allé 5, DK-2970 Hørsholm, Denmark
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Philippe Gourbesville
Philippe Gourbesville
3University of Nice Sophia Antipolis, Polytech Nice Sophia, 930 Route des Colles, 06903 Sophia Antipolis Cedex, France
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Journal of Hydroinformatics (2013) 15 (3): 717–736.
Article history
Received:
August 01 2012
Accepted:
December 01 2012
Citation
Justine Henonin, Beniamino Russo, Ole Mark, Philippe Gourbesville; Real-time urban flood forecasting and modelling – a state of the art. Journal of Hydroinformatics 1 July 2013; 15 (3): 717–736. doi: https://doi.org/10.2166/hydro.2013.132
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