Validation of a 2D flow model using high-resolution experimental data sets for sub/surface flow interactions
Addison-Atkinson, W; Chen, AS; Memon, FA; et al.Rubinato, M
Date: 31 August 2021
Conference paper
Publisher
University of Exeter Centre for Water Systems
Abstract
Flood risk in urban environments has undoubtedly increased over the past decade due to accelerated urbanisation
and land use changes and more frequent extreme rainfall, induced by climate change, have exacerbated this
convoluted issue. Effective contemporary urban flood risk analysis requires detailed computational modelling
techniques ...
Flood risk in urban environments has undoubtedly increased over the past decade due to accelerated urbanisation
and land use changes and more frequent extreme rainfall, induced by climate change, have exacerbated this
convoluted issue. Effective contemporary urban flood risk analysis requires detailed computational modelling
techniques which, to date, have been widely adopted to investigate behaviours of urban floods and their impacts
(e.g. microbial risk assessments, flood risk zoning, property damage, in order to develop
countermeasures in flood mitigation decision making [6]). Two systems are always considered for modelling
purposes: the minor system refers to subterranean pipes and manholes and the major system represents flow
pathways over a surface (e.g., street). The minor system is often simulated via one-dimensional (1D) sewer
network models, while the major system can be modelled via either 1D channel networks or two-dimensional
(2D) overland flow models. The interactions between subsurface and surface systems are analysed via 1D-1D or
1D-2D modelling approaches, where the coefficients for linking the two models require careful calibration to
accurately reflect the flow dynamics between them. In this study, experimental datasets collected within a facility
that replicates urban flooding scenarios are used to calibrate a 1D sewer and 2D overflow hydraulic model such
that it can increase its accuracy and therefore be applied with more confidence to analyse a wider range of flooding
conditions
Engineering
Faculty of Environment, Science and Economy
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