| Title |
High-resolution Urban Flood Modeling using Cellular Automata-based WCA2D in the Oncheon-cheon Catchment in Busan, South Korea |
| Authors |
최현진(Choi, Hyeonjin) ; 이송희(Lee, Songhee) ; 우현아(Woo, Hyuna) ; 노성진(Noh, Seong Jin) |
| DOI |
https://doi.org/10.12652/Ksce.2023.43.5.0587 |
| Keywords |
셀룰러 오토마타; 도시 침수; 2차원 침수 해석 모형; 병렬계산; 부산 온천천 Cellular automata; Urban inundation; 2D inundation prediction model; Parallel computing; Busan Oncheon-cheon |
| Abstract |
As climate change increases the frequency and risk of flooding in major cities around the world, the importance of simulation technology that can quickly and accurately analyze high-resolution 2D flooding information in large-scale areas is emerging. The physically-based approaches based on the Shallow Water Equations (SWE) often requires huge computer resources hindering high-resolution flood prediction. This study investigated the theoretical background of Weighted Cellular Automata 2D (WCA2D), which simulates spatio-temporal changes of flooding using transition rules and weight-based system, and assessed feasibility to simulate pluvial flooding in the urban catchment, the Oncheon-cheon catchment in Busan, South Korea. In addition, the computation performance was compared by applying versions using Open Computing Language (OpenCL) and Open Multi-Processing (OpenMP) parallel computing techniques. Simulation results showed that the maximum inundation depth map by the WCA2D model can similarly reproduce historical inundation maps. Also, it can precisely simulate spatio-temporal changes of flooding extent in the urban catchment with complex topographic characteristics. For computation efficiency, parallel computing schemes, the OpenCL and OpenMP, improved the computation by about 8~14 and 5~6 folds respectively, compared to the sequential computation. |