scholarly journals An integrated framework for high-resolution urban flood modelling considering multiple information sources and urban features

2018 ◽  
Vol 107 ◽  
pp. 85-95 ◽  
Author(s):  
Yuntao Wang ◽  
Albert S. Chen ◽  
Guangtao Fu ◽  
Slobodan Djordjević ◽  
Chi Zhang ◽  
...  
Keyword(s):  
High Resolution ◽  
Information Sources ◽  
Urban Flood ◽  
Flood Modelling ◽  
Integrated Framework ◽  
Urban Flood Modelling

High-Resolution Simulation of Hydraulic Structures in a Typhoon Induced Urban Flood Event

2020 ◽  
Author(s):  
Yunsong Cui ◽  
Qiuhua Liang ◽  
Gang Wang ◽  
Jian Zeng ◽  
Jinchun Hu
Keyword(s):  
High Resolution ◽  
Flood Risk ◽  
Flood Event ◽  
Hydraulic Structures ◽  
Urban Flood ◽  
Flood Modelling ◽  
Flood Model ◽  
Fully Coupled ◽  
Urban Flood Modelling ◽  
Urban Flood Risk

<p>Due to climate change and rapid urbanization, urban flooding has become one of the major natural hazards threatening the safety of people and their properties and affecting the overall sustainability of cities across the globe, especially developing countries such as China. Flood modelling has now provided an indispensable tool to support urban flood risk assessment and management, and inform the planning of cities that are more resilient to flooding.</p><p>Hydraulic structures, e.g. regulation gates and pumping stations, play an important role in urban flood risk management. However, direct simulation of these hydraulic structures is not a current practice in 2D urban flood modelling. This work presents and applies a robust numerical approach to directly simulate the effects of hydraulic structures in a 2D high-resolution urban flood model. An additional computational module is developed and fully coupled to a GPU-accelerated finite volume shock-capturing urban flood model to directly simulate the highly transient flood waves through hydraulic structures. The improved flood model is applied to  reproduce a flood event induced by Typhoon “Lekima” in 2019 in Yuhuan, Zhejiang Province, China. At 3m resolution, the model is able to simulate the complete process of the flood event in nearly 3.5 times faster than real time, demonstrating the efficiency and robustness of the new fully coupled model for high-resolution food modelling in cities. Further simulations are performed to systemically investigate the effect of hydraulic structures and different operational regulations on flood dynamics and associated risks, demonstrating the importance of directly considering hydraulic structures and their operations in 2D high-resolution urban flood modelling.</p><p></p>

scholarly journals TOWARDS A HIGH-RESOLUTION DRONE-BASED 3D MAPPING DATASET TO OPTIMISE FLOOD HAZARD MODELLING

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 181-187 ◽  
Author(s):  
D. Backes ◽  
G. Schumann ◽  
F. N. Teferele ◽  
J. Boehm
Keyword(s):  
High Resolution ◽  
Input Data ◽  
Urban Expansion ◽  
3D Mapping ◽  
Mapping Data ◽  
Data Set ◽  
Urban Flood ◽  
Rainfall Events ◽  
Flood Modelling ◽  
Urban Flood Modelling

<p><strong>Abstract.</strong> The occurrence of urban flooding following strong rainfall events may increase as a result of climate change. Urban expansion, aging infrastructure and an increasing number of impervious surfaces are further exacerbating flooding. To increase resilience and support flood mitigation, bespoke accurate flood modelling and reliable prediction is required. However, flooding in urban areas is most challenging. State-of-the-art flood inundation modelling is still often based on relatively low-resolution 2.5&amp;thinsp;D bare earth models with 2&amp;ndash;5&amp;thinsp;m GSD. Current systems suffer from a lack of precise input data and numerical instabilities and lack of other important data, such as drainage networks. Especially, the quality and resolution of the topographic input data represents a major source of uncertainty in urban flood modelling. A benchmark study is needed that defines the accuracy requirements for highly detailed urban flood modelling and to improve our understanding of important threshold processes and limitations of current methods and 3D mapping data alike.</p><p>This paper presents the first steps in establishing a new, innovative multiscale data set suitable to benchmark urban flood modelling. The final data set will consist of high-resolution 3D mapping data acquired from different airborne platforms, focusing on the use of drones (optical and LiDAR). The case study includes residential as well as rural areas in Dudelange/Luxembourg, which have been prone to localized flash flooding following strong rainfall events in recent years. The project also represents a cross disciplinary collaboration between the geospatial and flood modelling community. In this paper, we introduce the first steps to build up a new benchmark data set together with some initial flood modelling results. More detailed investigations will follow in the next phases of this project.</p>

scholarly journals A Data-Driven Hybrid Urban Flood Modelling Approach

10.29007/fbh3 ◽  
2018 ◽  
Author(s):  
Xiaohan Li ◽  
Patrick Willems
Keyword(s):  
Data Availability ◽  
Data Driven ◽  
Property Management ◽  
Flood Modeling ◽  
Urban Flood ◽  
Flood Modelling ◽  
Data Sparseness ◽  
Input Quality ◽  
Fully Adaptive ◽  
Urban Flood Modelling

Urban flood pre-warning decisions made upon urban flood modeling is crucial for human and property management in urban area. However, urbanization, changing environmental conditions and climate change are challenging urban sewer models for their adaptability. While hydraulic models are capable of making accurate flood predictions, they are less flexible and more computationally expensive compared with conceptual models, which are simpler and more efficient. In the era of exploding data availability and computing techniques, data-driven models are gaining popularity in urban flood modelling, but meanwhile suffer from data sparseness. To overcome this issue, a hybrid urban flood modeling approach is proposed in this study. It incorporates a conceptual model to account for the dominant sewer hydrological processes and a logistic regression model able to predict the probabilities of flooding on a sub-urban scale. This approach is demonstrated for a highly urbanized area in Antwerp, Belgium. After comparison with a 1D/0D hydrodynamic model, its ability is shown with promising results to make probabilistic flood predictions, regardless of rainfall types or seasonal variation. In addition, the model has higher tolerance on data input quality and is fully adaptive for real time applications.

A coarse-grid approach to representing building blockage effects in 2D urban flood modelling

2012 ◽  
Vol 426-427 ◽  
pp. 1-16 ◽  
Author(s):  
Albert S. Chen ◽  
Barry Evans ◽  
Slobodan Djordjević ◽  
Dragan A. Savić
Keyword(s):  
Coarse Grid ◽  
Urban Flood ◽  
Flood Modelling ◽  
Grid Approach ◽  
Urban Flood Modelling
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