FloodSim: Flood Simulation and Visualization Framework Using Position-Based Fluids

Abstract

Flood modeling and analysis has been a vital research area to reduce damages caused by flooding and to make urban environments resilient against such occurrences. This work focuses on building a framework to simulate and visualize flooding in 3D using position-based fluids for real-time flood spread visualization and analysis. The framework incorporates geographical information and takes several parameters in the form of friction coefficients and storm drain information, and then uses mechanics such as precipitation and soil absorption for simulation. The preliminary results of the river flooding test case were satisfactory, as the flood extent was reproduced in 220 s with a difference of 7%. Consequently, the framework could be a useful tool for practitioners who have information about the study area and would like to visualize flooding using a particle-based approach for real-time particle tracking and flood path analysis, incorporating precipitation into their models.

A Three-Dimensional Visualization Framework for Underground Geohazard Recognition on Urban Road-Facing GPR Data

“…For future works, there are four aspects that can be further explored. (1) The proposed 3DVF4UDR adopts the mode of human-computer interaction to recognize geohazard information, which is based on static GPR data, because it is very difficult to differentiate geohazard character automatically. For example, both pipelines and empty cavities are holes in the ground but only one of them is a geohazard.…”

“…In the last decade, the visualization platforms of above-ground geographical information have been constructed in various fields [1][2][3][4][5]. Owing to the concealment of the underground space, detecting underground geohazards on urban roads is a difficult problem across the world.…”

Aesthetics 3D Geovisualization For Flood Disaster Based on XYZ Coordinate

“…The third category represents the delivery of information after the disaster has occurred (post-event). At this stage, the essential task of the media is to integrate disaster risk reduction information into rehabilitation and reconstruction information to further reduce risk (Cheng et al, 2019;Hadimlioglu et al, 2020).…”

“…GIS data are often used to create 3D geovisualization models of flood disasters, and the output information can be conveyed in different media platforms (Zhang et al, 2020). As 3D modelling produces interactive and accurate information, it is more preferred than 1D and 2D modelling, especially for the risk management of floods or other disasters (Archterior, 2020;Hadimlioglu et al, 2020). Examples of software that can geovisualize flood models are ArcGIS, FME, HEC-HMS, HEC-RAS, ANUGA, XP-SWMM and Google SketchUp (Khaghan & Mojaradi, 2016;Lyu et al, 2018).…”

A Decision Support Model for Improvement of Urban Resilience through Accessibility Analysis

“…Risk analysis is a vital component of disaster management, which can reduce the effects of disasters by alleviating the negative consequences of such events (Lv et al, 2013). Many models of risk estimation have been considered for a variety of disasters such as floods (Dai et al, 2019;Rav et al, 2019;Hadimlioglu et al, 2020), earthquakes (Jena et al, 2020;Maio et al, 2018), landslides (Erener and Duzgun, 2013) and other health hazards (Barth and Tomaselli, 2016;Bucher Della Torre et al, 2016). Furthermore, the domains that risk analysis is utilized, such as health, (Barth and Tomaselli, 2016;Bucher Della Torre et al, 2016) natural hazards, (Dai et al, 2019;Jena et al, 2020;Kiureghian and Ang, 1977) and forest fires (Bonazountas et al, 2005) determine the important factors such work focus on.…”