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Water 2017, 9(12), 944; https://doi.org/10.3390/w9120944

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

1
CH2M, Burderop Park, Swindon SN4 0QD, UK
2
Laboratory of Reclamation Works and Water Resources Management, School of Rural and Surveying Engineering, National Technical University of Athens, 9, Iroon Polytechniou str, Zografou, Athens 15780, Greece
3
Water Management Department, Civil Engineering and Geosciences, Technishe Universiteit Delft, 1, Stevinweg, Delft 2628 CN, The Netherlands
4
Centre for the Assessment of Natural Hazards and Proactive Planning & Laboratory of Reclamation Works and Water Resources Management, School of Rural and Surveying Engineering, National Technical University of Athens, 9, Iroon Polytechniou str, Zografou, Athens 15780, Greece
*
Author to whom correspondence should be addressed.
Received: 10 October 2017 / Revised: 29 November 2017 / Accepted: 30 November 2017 / Published: 4 December 2017
(This article belongs to the Special Issue Quantifying Uncertainty in Integrated Catchment Studies)
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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. View Full-Text
Keywords: urban flooding; SWMM; FLOW-R2D; uncertainty; surrogate models; Polynomial Chaos Expansion urban flooding; SWMM; FLOW-R2D; uncertainty; surrogate models; Polynomial Chaos Expansion
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Bellos, V.; Kourtis, I.M.; Moreno-Rodenas, A.; Tsihrintzis, V.A. Quantifying Roughness Coefficient Uncertainty in Urban Flooding Simulations through a Simplified Methodology. Water 2017, 9, 944.

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