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Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling

Modelling urban flood dynamics requires proper handling of a number of complex urban features. Although high-resolution topographic data can nowadays be obtained from aerial LiDAR surveys, such top-view LiDAR data still have difficulties to represent some key components of urban features. Les mer
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Vår pris: 2700,-

(Innbundet) Fri frakt!
Leveringstid: Sendes innen 21 dager
På grunn av Brexit-tilpasninger og tiltak for å begrense covid-19 kan det dessverre oppstå forsinket levering.

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Modelling urban flood dynamics requires proper handling of a number of complex urban features. Although high-resolution topographic data can nowadays be obtained from aerial LiDAR surveys, such top-view LiDAR data still have difficulties to represent some key components of urban features. Incorrectly representing features like underpasses through buildings or apparent blockage of flow by sky trains may lead to misrepresentation of actual flood propagation, which could easily result in inadequate flood-protection measures. Hence proper handling of urban features plays an important role in enhancing urban flood modelling.





This research explores present-day capabilities of using computer-based environments to merge side-view Structure-from-Motion data acquisition with top-view LiDAR data to create a novel multi-source views (MSV) topographic representation for enhancing 2D model schematizations. A new MSV topographic data environment was explored for the city of Delft and compared with the conventional top-view LiDAR approach. Based on the experience gained, the effects of different topographic descriptions were explored for 2D urban flood models of (i) Kuala Lumpur, Malaysia for the 2003 flood event; and (ii) Ayutthaya, Thailand for the 2011 flood event.





It was observed that adopting the new MSV data as the basis for describing the urban topography, the numerical simulations provide a more realistic representation of complex urban flood dynamics, thus enhancing conventional approaches and revealing specific features like flood watermarks identification and helping to develop improved flood-protection measures.

Fakta

Innholdsfortegnelse

1 Introduction
1.1 Urban flooding
1.2 Topographic input data for urban flood modelling
1.3 Objectives and research questions
1.4 Dissertation outline


2 State of the art in urban flood modelling
2.1 Approaches to urban flood modelling
2.2 1D flood modelling
2.3 Quasi 2D approaches from 1D models
2.4 2D flood modelling
2.5 Coupled 1D-2D modelling
2.6 Comparisons of simulated results
2.7 Issues concerning complex-urban flood modelling


3 Conventional top-view LiDAR topographic data
3.1 Evolution in topographic data acquisition
3.2 Top-view LiDAR data acquisition
3.3 Raw LiDAR data processing and registration
3.4 Top-view LiDAR data simplification
3.5 Issues concerning top-view LiDAR data


4 Introducing new side-view SfM topographic data
4.1 Land surveying approaches
4.2 Side-view SfM data acquisition
4.3 Raw SfM data processing and registration
4.4 Side-view SfM data simplification
4.5 Issue concerning the side-view SfM data


5 A novel approach for merging multi-views topographic data
5.1 Multi-view enhancements
5.2 Effect of grid size
5.3 Considerations for raster-based topographic data
5.4 Selection of case study areas


6 Applying multi-source views DEM to the case study of Kuala Lumpur, Malaysia
6.1 The case study
6.2 Topographic data acquisition and rasterization
6.3 Numerical modelling schemes
6.4 Results
6.5 Discussion
6.6 Conclusions


7 Extracting inundation patterns from flood watermarks: the case study of Ayutthaya, Thailand
7.1 The case study
7.2 Top-view LiDAR data acquisition and processing
7.3 Side-view data acquisition and processing
7.4 Flood watermark extraction
7.5 Creating multi-source views digital elevation model (MSV-DEM)
7.6 Numerical modelling setups
7.7 Results
7.8 Discussion
7.9 Conclusions


8 Recommendations for developing flood-protection measures: the case study of Ayutthaya, Thailand
8.1 Problem identification
8.2 Proposed flood-protection measures
8.3 Establishment of scenarios
8.4 Evaluation of the simulated measures
8.5 Stakeholder preferences for flood-protection measures
8.6 Conclusions


9 Outlook of multi-view surveys and applications
9.1 Obtaining topographic data from different views
9.2 Unmanned aerial vehicle (UAV)
9.3 Mobile mapping system (MMS)
9.4 Unmanned surface vehicle (USV)
9.5 Night vi

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