DAM BREAK FLOODING SIMULATION USING А DEM CONSTRUCTED FROM LIDAR DATA
Dzhangulova G.K. Dedova T.V. Kuznetsova O.P. Bashirova N.Z. Kalybekova A.A.
2025National Academy of Sciences of the Republic of Kazakhstan
News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences
2025#2025Issue 492 - 108 pp.
A dam breach is one of the most dangerous hydraulic incidents, capable of causing large-scale flooding and significant damage to settlements, infrastructure, and the environment. With the growing number of hydraulic structures and increasing climate-related risks, accurate modeling of such events has become an urgent and relevant task. This study presents a numerical simulation of flood propagation based on the reconstruction of the historical dam failure at the Voroshilov Reservoir (Almaty Region, Kazakhstan), carried out using the Flood Simulation module in ArcGIS Pro 3.4. The Flood Simulation module is based on the shallow water equations and includes hydrodynamic modeling of flood wave propagation, taking into account high-resolution terrain topography. The input data for simulating flooding near the Voroshilov Reservoir consisted of a high-precision digital elevation model (DEM) constructed from LiDAR data collected by an unmanned aerial vehicle (UAV). Two flood scenarios were modeled: the first recreated the parameters of the actual event, in which the reservoir was filled to about half capacity; the second represented a hypothetical situation in which the reservoir was completely full. In both cases, visualizations of the flood development stages were generated. According to the results of the second scenario, the consequences of flooding could be more severe, with the nearby road submerged and floodwaters approaching the highway and adjacent buildings. The results confirm the effectiveness of using LiDAR-derived DEMs and demonstrate the practical applicability of the Flood Simulation module for risk assessment, flood mapping, and planning damage mitigation measures.
dam failure , digital elevation model , flood modeling , hydraulic structures , LiDAR data
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Institute of Ionosphere LLP, Almaty, Kazakhstan
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