scholarly journals Improved methodology for processing raw LiDAR data to support urban flood modelling – accounting for elevated roads and bridges

2011 ◽  
Vol 14 (2) ◽  
pp. 253-269 ◽  
Author(s):  
A. F. Abdullah ◽  
Z. Vojinovic ◽  
R. K. Price ◽  
N. A. A. Aziz
Keyword(s):  
Real Life ◽  
Drainage System ◽  
Urban Environments ◽  
Urban Flood ◽  
Flood Modelling ◽  
Digital Terrain ◽  
Terrain Models ◽  
Real Life Data ◽  
Elevated Road ◽  
Urban Flood Modelling

Digital Terrain Models (DTMs) represent an essential source of information that can allow the behaviour of the urban floodplain, and its interactions with the drainage system, to be examined, understood and predicted. Typically, such data are obtained via Light Detection and Ranging (LiDAR). If a DTM does not contain adequate representation of urban features the results from the modelling efforts can be. This is due to the fact that urban environments contain variety of features, which can have functions of storing and/or diverting flows during flood events. The work described in this paper concerns further improvements of a LiDAR filtering algorithm which was discussed in a previous work. The key characteristics of this improved algorithm are: ability to deal with buildings, detect elevated road and represent them accordance to reality and deal with bridges and riverbanks. The algorithm was tested using a real-life data from a case study of Kuala Lumpur. The results have shown that the newly developed MPMA2 algorithm has better capabilities of identifying some of the features that are vital for urban flood modelling applications than any of the currently available algorithms and it leads to better agreement between simulated and observed flood depths and flood extents.

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

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

Flood analysis in mixed-urban areas reflecting interactions with the complete water cycle through coupled hydrologic-hydraulic modelling

2010 ◽  
Vol 62 (6) ◽  
pp. 1386-1392 ◽  
Author(s):  
N. D. Sto. Domingo ◽  
A. Refsgaard ◽  
O. Mark ◽  
B. Paludan
Keyword(s):  
Urban Areas ◽  
Overland Flow ◽  
Computer Modelling ◽  
Water Cycle ◽  
New Method ◽  
Urban Flood ◽  
Flood Modelling ◽  
Essential Components ◽  
Flood Analysis ◽  
Urban Flood Modelling

The potential devastating effects of urban flooding have given high importance to thorough understanding and management of water movement within catchments, and computer modelling tools have found widespread use for this purpose. The state-of-the-art in urban flood modelling is the use of a coupled 1D pipe and 2D overland flow model to simultaneously represent pipe and surface flows. This method has been found to be accurate for highly paved areas, but inappropriate when land hydrology is important. The objectives of this study are to introduce a new urban flood modelling procedure that is able to reflect system interactions with hydrology, verify that the new procedure operates well, and underline the importance of considering the complete water cycle in urban flood analysis. A physically-based and distributed hydrological model was linked to a drainage network model for urban flood analysis, and the essential components and concepts used were described in this study. The procedure was then applied to a catchment previously modelled with the traditional 1D-2D procedure to determine if the new method performs similarly well. Then, results from applying the new method in a mixed-urban area were analyzed to determine how important hydrologic contributions are to flooding in the area.

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