Comparison of 1D/1D and 1D/2D Coupled (Sewer/Surface) Hydraulic Models for Urban Flood Simulation

2009 ◽  
Vol 135 (6) ◽  
pp. 495-504 ◽  
Author(s):  
Jorge Leandro ◽  
Albert S. Chen ◽  
Slobodan Djordjević ◽  
Dragan A. Savić
Keyword(s):  
Flood Simulation ◽  
Urban Flood ◽  
Hydraulic Models

Bi-directional Coupling of an Unstructured Triangular Meshes-based Integrated Hydrodynamic Model for Heterogeneous Feature-based Urban Flood Simulation

2021 ◽  
Author(s):  
Guoqiang Peng ◽  
Zhuo Zhang ◽  
Tian Zhang ◽  
Zhiyao Song ◽  
Arif Masrur
Keyword(s):  
Water Flow ◽  
Urban Areas ◽  
Overland Flow ◽  
Coupled Model ◽  
Flood Simulation ◽  
Urban Flood ◽  
Essential Condition ◽  
Flow Processes ◽  
Feature Based ◽  
Heterogeneous Feature

Abstract Urban pluvial flash floods have become a matter of widespread concern, as they severely impact people’s lives in urban areas. Hydrological and hydraulic models have been widely used for urban flood management and urban planning. Traditionally, to reduce the complexity of urban flood modelling and simulations, simplification or generalization methods have been used; for example, some models focus on the simulation of overland water flow, and some models focus on the simulation of the water flow in sewer systems. However, the water flow of urban floods includes both overland flow and sewer system flow. The overland flow processes are impacted by many different geographical features in what is an extremely spatially heterogeneous environment. Therefore, this article is based on two widely used models (SWMM and ANUGA) that are coupled to develop a bi-directional method of simulating water flow processes in urban areas. The open source overland flow model uses the unstructured triangular as the spatial discretization scheme. The unstructured triangular-based hydraulic model can be better used to capture the spatial heterogeneity of the urban surfaces. So, the unstructured triangular-based model is an essential condition for heterogeneous feature-based urban flood simulation. The experiments indicate that the proposed coupled model in this article can accurately depict surface waterlogged areas and that the heterogeneous feature-based urban flood model can be used to determine different types of urban flow processes.

Linking of 2D and Pipe hydraulic models at fine spatial scales

2007 ◽  
Vol 2 (2) ◽  
Author(s):  
R.S. Carr ◽  
G.P. Smith
Keyword(s):  
Overland Flow ◽  
Spatial Scales ◽  
Urban Environments ◽  
Flow Paths ◽  
Urban Flood ◽  
Hydraulic Models ◽  
Small Complex ◽  
Modelling Techniques ◽  
Flood Risk Mapping ◽  
Fine Resolution

Linking of two-dimensional overland flow hydraulic models with one-dimensional storm water pipe models at very fine resolution is becoming a standard approach for urban flood investigations. This paper describes the application of such an approach to a variety of small, complex urbanised catchments in Australia and New Zealand. A benefit of this approach is that previously hidden information in terms of secondary flow paths and cross-flows become apparent, an outcome that is not possible with traditional 1D modelling tools. Generation of flood risk mapping is much simpler through the use of direct GIS interfaces to the model result files, making the modelling and presentation process much more transparent. The paper will describe the application of the models, the calibration approach and some specialised modelling techniques when working at such fine spatial resolution in urban environments.

The importance of gully flow modelling to urban flood simulation

2019 ◽  
Vol 16 (5) ◽  
pp. 377-388
Author(s):  
Jiun-Huei Jang ◽  
Chi-Tai Hsieh ◽  
Tien-Hao Chang
Keyword(s):  
Flood Simulation ◽  
Urban Flood ◽  
Flow Modelling

Coastal Urban Flood Simulation Using FEM, GIS and Remote Sensing

2010 ◽  
Vol 24 (13) ◽  
pp. 3615-3640 ◽  
Author(s):  
S. S. Shahapure ◽  
T. I. Eldho ◽  
E. P. Rao
Keyword(s):  
Remote Sensing ◽  
Flood Simulation ◽  
Urban Flood ◽  
Gis And Remote Sensing

Hydrodynamic Modeling of Urban Flood Flows and Disaster Risk Reduction

2017 ◽  
Author(s):  
Brett F. Sanders
Keyword(s):  
Risk Reduction ◽  
Flood Risk ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Accurate Approximation ◽  
Modeling Tools ◽  
Flood Simulation ◽  
Urban Flood ◽  
Flood Model ◽  
Flood Flows

Communities facing urban flood risk have access to powerful flood simulation software for use in disaster-risk-reduction (DRR) initiatives. However, recent research has shown that flood risk continues to escalate globally, despite an increase in the primary outcome of flood simulation: increased knowledge. Thus, a key issue with the utilization of urban flood models is not necessarily development of new knowledge about flooding, but rather the achievement of more socially robust and context-sensitive knowledge production capable of converting knowledge into action. There are early indications that this can be accomplished when an urban flood model is used as a tool to bring together local lay and scientific expertise around local priorities and perceptions, and to advance improved, target-oriented methods of flood risk communication. The success of urban flood models as a facilitating agent for knowledge coproduction will depend on whether they are trusted by both the scientific and local expert, and to this end, whether the model constitutes an accurate approximation of flood dynamics is a key issue. This is not a sufficient condition for knowledge coproduction, but it is a necessary one. For example, trust can easily be eroded at the local level by disagreements among scientists about what constitutes an accurate approximation. Motivated by the need for confidence in urban flood models, and the wide variety of models available to users, this article reviews progress in urban flood model development over three eras: (1) the era of theory, when the foundation of urban flood models was established using fluid mechanics principles and considerable attention focused on development of computational methods for solving the one- and two-dimensional equations governing flood flows; (2) the era of data, which took form in the 2000s, and has motivated a reexamination of urban flood model design in response to the transformation from a data-poor to a data-rich modeling environment; and (3) the era of disaster risk reduction, whereby modeling tools are put in the hands of communities facing flood risk and are used to codevelop flood risk knowledge and transform knowledge to action. The article aims to inform decision makers and policy makers regarding the match between model selection and decision points, to orient the engineering community to the varied decision-making and policy needs that arise in the context of DRR activities, to highlight the opportunities and pitfalls associated with alternative urban flood modeling techniques, and to frame areas for future research.

Development of 1D–2D Urban Flood Simulation Model Based on Modified Cellular Automata Approach

2021 ◽  
Vol 26 (2) ◽  
pp. 04020065
Author(s):  
Hamed Tavakolifar ◽  
Hossein Abbasizadeh ◽  
Sara Nazif ◽  
Ebrahim Shahghasemi
Keyword(s):  
Cellular Automata ◽  
Simulation Model ◽  
Flood Simulation ◽  
Urban Flood ◽  
Model Based

Impact of the models structure uncertainty in flood simulations: Simbach case study

2020 ◽  
Author(s):  
Qing Lin ◽  
Jorge Leandro ◽  
Markus Disse ◽  
Daniel Sturm
Keyword(s):  
Flash Flood ◽  
Drainage System ◽  
Model Structure ◽  
Flood Simulation ◽  
Hydraulic Models ◽  
Uncertainty Factor ◽  
Model Component ◽  
Model Structure Uncertainty ◽  
Flood Simulations ◽  
Model Structures

<p>The quantification of model structure uncertainty on hydraulic models is very important for flash flood simulations. The choice of an appropriate model structure complexity and assessment of the impacts due to infrastructure failure can have a huge impact on the simulation results. To assess the risk of flash floods, coupled hydraulic models, including 1D-sewer drainage and 2D-surface run-off models are required for urban areas because they include the bidirectional water exchange, which occurs between sewer and overland flow in a city [1]. By including various model components, we create different model structures. For example, modelling the inflow to the city with the 2D surface-runoff or with the delineated 1D model; including the sewer system or use a surrogate as an alternative; modifying the connectivity of manholes and pumps; or representing the drainage system failures during flood events. As the coupling pattern becomes complex, quantifying the model structure uncertainty is essential for the model structure evaluation. If one model component leads to higher model uncertainty, it is reasonable to conclude that the new component has a large impact in our model and therefore needs to be accounted for; if one component has a less impact in the overall uncertainty, then the model structure can be simplified, by removing that model component.</p> <p>In this study, we set up seven different model structures [2] for the German city of Simbach. By comparison with two inflow calculation types (1D-delineated inflow or 2D-catchment), the existence of drainage system and infrastructure failures, the Model Uncertainty Factor (MUF) is calculated to quantify the model structure uncertainties and further trade-off values with Parameter Uncertainty Factor (PUF) [3]. Finally, we can obtain a more efficient hydraulic model with the essential model structure for urban flash flood simulation.</p> <p> </p> <ol>1. Leandro, J., Chen, A. S., Djordjevic, S., and Dragan, S. (2009). "A comparison of 1D/1D and 1D/2D coupled hydraulic models for urban flood simulation." Journal of Hydraulic Engineering-ASCE, 6(1):495-504.</ol> <ol>2. Leandro, J., Schumann, A., and Pfister, A. (2016). A step towards considering the spatial heterogeneity of urban, key features in urban hydrology flood modelling. J. Hydrol., Elsevier, 535 (4), 356-365.</ol> <ol>3. Van Zelm, R., Huijbregts, M.A.J. (2013). Quantifying the trade-off between parameter and model structure uncertainty in life cycle impact assessment, Environ. Sci. Technol., 47(16), pp. 9274-9280.</ol> <p> </p>

scholarly journals Using unmanned aerial vehicle and volunteered geographic information to sophisticate urban flood modelling

2020 ◽  
Author(s):  
Yuan-Fong Su ◽  
Yan-Ting Lin ◽  
Jiun-Huei Jang ◽  
Jen-Yu Han
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Urban Areas ◽  
Flash Flood ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Model Verification ◽  
Loss Assessment ◽  
Flood Simulation ◽  
Urban Flood ◽  
Aerial Vehicle

Abstract. Sophisticated flood simulation in urban areas is a challenging task due to the difficulties in data acquisition and model verification. This study incorporates three rapid-growing technologies, i.e. volunteered geographic information (VGI), unmanned aerial vehicle (UAV), and computational flood simulation (CFS) to reconstruct the flash flood event occurred in 14 June 2015, GongGuan, Taipei. The high-resolution digital elevation model (DEM) generated by a UAV and the real-time VGI photos acquired from social network are served to establish and validate the CFS model, respectively. The DEM data are resampled based on two grid sizes to evaluate the influence of terrain resolution on flood simulations. The results show that flood scenario can be more accurately modelled as DEM resolution increases with better agreement between simulation and observation in terms of flood occurrence time and water depth. The incorporation of UAV and VGI lower the barrier of sophisticated CFS and shows great potential in flood impact and loss assessment in urban areas.

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