Towards Efficient Modeling

CFD (computational fluids dynamics) analyses are playing more and more important roles in water resource related problems. However, the analyses are often time-consuming when the numerical models are applied to large-scale, long-term, and computation-intensive problems. The situations become more challenging in the era of mega data, when huge amounts of data require efficient computation, treatment and interpretation. The numerical modeling systems developed at National Center for Computational Hydro-science and Engineering (NCCHE) provide efficient modeling solutions for a variety of research objectives. 1D model is the most suitable and efficient tool for hydrology/hydraulic solutions to large-scale and long-term problems. A parallel computing module of CCHE2D using GPGPU (general-purpose computing on graphics processing unit) has been developed for both general flow and dam-break flow/flooding simulations. This parallel computing capability enable us to significantly enhance efficiency by distributing computation loads to multiple processers working in the same time. To improve the computation efficiency of 3D models for large domains, a novel sub-domain method has been developed for CCHE3D. The method allows us to obtain high resolution and sophisticated local 2D/3D results efficiently at the interested locations in a large domain covered with a coarse mesh.