Hadimlioglu, I. AlihanKing, Scott A.Starek, Michael J.Hadimlioglu, I. AlihanKing, Scott A.Starek, Michael J.2021-10-262021-10-262021-10-262021-10-262020-03-112020-03-112020-03-11Hadimlioglu, I.A., King, S.A. and Starek, M.J., 2020. FloodSim: Flood Simulation and Visualization Framework Using Position-Based Fluids. ISPRS International Journal of Geo-Information, 9(3), p.163.Hadimlioglu, I.A., King, S.A. and Starek, M.J., 2020. FloodSim: Flood Simulation and Visualization Framework Using Position-Based Fluids. ISPRS International Journal of Geo-Information, 9(3), p.163.https://hdl.handle.net/1969.6/89863https://hdl.handle.net/1969.6/89863https://hdl.handle.net/1969.6/89863https://hdl.handle.net/1969.6/89863Flood 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.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.en-USAttribution 4.0 InternationalAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/flood simulationenvironmental visualizationsurface runofflagrangianposition-based fluidsflood simulationenvironmental visualizationsurface runofflagrangianposition-based fluidsArticlehttps://doi.org/10.3390/ijgi9030163https://doi.org/10.3390/ijgi9030163https://doi.org/10.3390/ijgi9030163https://doi.org/10.3390/ijgi9030163