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

I Alihan Hadimlioglu,Scott A King,Michael J Starek

doi:10.3390/ijgi9030163

I Alihan Hadimlioglu, Scott A King + Show 1 more

Open Access

https://doi.org/10.3390/ijgi9030163

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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.

Highlights

Flood modeling and analysis has been a vital research area to reduce damages caused by flooding and to assess urban environment resilience against such occurrences [1,2,3]. 2D and 3D hydrodynamic models have been used to provide insight to practitioners and city planners to determine patterns, risks, and anomalies in the environment through visualization of the phenomena
The framework described in this work provides a workflow to demonstrate the usability of position-based fluids to simulate and visualize flooding events
As position-based fluids are more suited for real-time simulations than some traditional smoothed particle hydrodynamics (SPH) models, the provision of this framework allows for real-time interaction through efficient particle representation

Summary

Introduction

Flood modeling and analysis has been a vital research area to reduce damages caused by flooding and to assess urban environment resilience against such occurrences [1,2,3]. 2D and 3D hydrodynamic models have been used to provide insight to practitioners and city planners to determine patterns, risks, and anomalies in the environment through visualization of the phenomena. Historical information is a vital resource in flood modeling and analysis, and can contain valuable insight for the study area [4]. Empirical methods have been investigated to model flooding and how the local dynamics direct or divert flooding [7,8]. These observations can be utilized in emergency management scenarios to support decision making [9,10]. As empirical flood modeling focuses on the formulation of certain properties of water, it is important to collect sufficient information regarding the study area to be able to provide values to the system. With the prominence of 1D and 2D hydrodynamic simulations to simulate flooding, empirical models can provide a level of correctness to other models [11]

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