Modelling Flood Incursion and Coastal Erosion using Cellular Automata Simulations

Hawick, K. A.

doi:10.2316/p.2014.821-005

Cited by 7 publications

(8 citation statements)

References 49 publications

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“…Particle tracking is a well-known technique for the determination of velocity vectors according to the local velocity observations in a flow field [20]. Cellular Automaton (CA) is adopted to simulate the spatio-temporal interactions between cells [35]. The CA-based particle tracking mainly involves two objects.…”

Section: Particle Trackingmentioning

confidence: 99%

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Flow Modeling and Rendering to Support 3D River Shipping Based on Cross-Sectional Observation Data

Zhang

Liu

et al. 2020

IJGI

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The flow in meandering rivers is characterized by rapid changes in flow velocity and water level, especially in flooded environments. Accurate cross-sectional observation data enable continuous monitoring of flow conditions, which is important for river navigation. In this paper, cross-sectional data based flow modeling and rendering methods are studied to build an interactive hybrid flow environment for three-dimensional river shipping. First, the sparse cross-sectional data are extrapolated and interpolated to provide dense sampling points. Then, the data are visualized separately by dynamic texture mapping, particle tracking, streamline rendering, and contour surface rendering. Finally, the rendering models are integrated with ship animation to build a comprehensive hybrid river navigation scenario. The proposed methods are tested by visualizing measured cross-sectional data in the Yangtze River using an open-source software, called World Wind. The experimental results demonstrate that the hybrid flow rendering achieves comprehensive visual effect and the rendering frame rate is greater than 30. The interactive hybrid flow visualization is beneficial to support river shipping analysis.

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Section: Particle Trackingmentioning

confidence: 99%

“…Both the cell size and the trajectory length are inversely proportional to the pyramid level of the virtual globe. the spatio-temporal interactions between cells [35]. The CA-based particle tracking mainly involves two objects.…”

Section: Particle Trackingmentioning

confidence: 99%

Flow Modeling and Rendering to Support 3D River Shipping Based on Cross-Sectional Observation Data

Zhang

Liu

et al. 2020

IJGI

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“…In addition, other publications have investigated hydrological modeling with respect to homogeneous of landform types, for example, surface water flow simulation, complex river system modeling, and flash flood forecasting [ 11 , 12 , 13 ]. Solutions for problems related to land use, land erosion, and landslide have been proposed by [ 10 , 14 , 15 ]. Another related research topic is environmental pollution such as oil spill, air pollution, and so on [ 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

Cellular Simulation for Distributed Sensing over Complex Terrains

Truong

Pottier

Huynh

2018

Sensors

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Long-range radio transmissions open new sensor application fields, in particular for environment monitoring. For example, the LoRa radio protocol enables connecting remote sensors at a distance as long as ten kilometers in a line-of-sight. However, the large area covered also brings several difficulties, such as the placement of sensing devices in regards to topology in geography, or the variability of communication latency. Sensing the environment also carries constraints related to the interest of sensing points in relation to a physical phenomenon. Thus, criteria for designs are evolving a lot from the existing methods, especially in complex terrains. This article describes simulation techniques based on geography analysis to compute long-range radio coverages and radio characteristics in these situations. As radio propagation is just a particular case of physical phenomena, it is shown how a unified approach also allows for characterizing the behavior of potential physical risks. The case of heavy rainfall and flooding is investigated. Geography analysis is achieved using segmentation tools to produce cellular systems which are in turn translated into code for high-performance computations. The paper provides results from practical complex terrain experiments using LoRa, which confirm the accuracy of the simulation, and scheduling characteristics for sample networks. Performance tables are produced for these simulations on current Graphics Processing Units (GPUs).

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“…Breilh et al, 2013), cellular automata (e.g. Dearing et al, 2005;Hawick, 2014) and hydrodynamic modelling (Martinelli et al, 2010;Gallien et al, 2011;Smith et al, 2012;Fortunato et al, 2013).…”

mentioning

confidence: 99%

High-resolution marine flood modelling with coupled overflow and overtopping processes: framing the hazard based on historical and statistical approaches

Lerma¹,

Bulteau²,

Elineau³

et al. 2017

Preprint

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Abstract. A modelling chain was implemented in order to propose a realistic appraisal of the risk in coastal areas affected as well by overflowing as overtopping processes. Simulations are performed through a nested downscaling strategy from regional to local scale at high spatial resolution with explicit buildings, urban structures such as sea front walls and hydraulic structures liable to affect the propagation of water in urban areas. Validation of the model performance is based on hard and soft available data analysis and conversion of qualitative to quantitative information to reconstruct the area affected by flooding and the succession of events during two recent storms. Two joint probability statistical approaches (joint exceedance probability and environmental contour) are used to define 100 years off-shore conditions scenarios and to investigate the flood response to each scenario in term of: (1) maximum spatial extent of flooded areas, (2) volumes of water propagation inland and (3) water level in flooded areas. Scenarios of sea level rise are also considerate in order to evaluate the potential hazard evolution. Our simulations show that for a maximising 100-year hazard scenario, for the municipality as a whole, 38 % of the zones are prone to overflow flooding and 62 % to flooding by propagation of overtopping water volume along the seafront. Results also reveal that for the two kind of statistic scenarios a difference of about 5 % in the forcing conditions (water level, wave height and period) can produce significant differences responses in terms of flooding like +13.5 % of water volumes propagating inland or +11.3 % of affected surfaces. In some areas, flood response appears to be very sensible to the scenario chosen with differences of 0.3 to 0.5 m in water level. The approach developed enable to bracket the 100-year hazard and to characterise spatially the robustness or the uncertainty over the results. Considering a 100-year scenario with mean sea level rise (0.6 m), hazard characteristics are dramatically changed with an evolution of the overtopping/overflowing process ratio and an increase of 384 % in volumes of water propagating inland and 247 % in flooded surfaces.

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Modelling Flood Incursion and Coastal Erosion using Cellular Automata Simulations

Cited by 7 publications

References 49 publications

Flow Modeling and Rendering to Support 3D River Shipping Based on Cross-Sectional Observation Data

Flow Modeling and Rendering to Support 3D River Shipping Based on Cross-Sectional Observation Data

Cellular Simulation for Distributed Sensing over Complex Terrains

High-resolution marine flood modelling with coupled overflow and overtopping processes: framing the hazard based on historical and statistical approaches

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