Grid-based spatially distributed hydrological modeling has become feasible with advances in watershed routing schemes, remote sensing technology, and computing resources. However, the need for long-running times on a substantial set of computational resources prevents a spatially detailed modeling program from being widely used, particularly in fine-resolution large-scale studies. Parallelizing computational tasks successfully mitigate this difficulty. We propose a novel way to improve the simulation efficiency of direct runoff transport processes by grouping watershed areas based on a time-area routing scheme. The proposed parallelization method was applied to simulating the runoff routing processes of two watersheds in different sizes and landscapes. The method substantially improved the computational efficiency of the time-area routing simulation with common computing resources. The efficiency of the parallelization was not limited by the hierarchical relationship between upstream and downstream catchments along the flow paths, which could be possible with the Lagrangian tracking of the time-area routing method.

随着流域路由方案、遥感技术和计算资源的进步，基于网格的空间分布式水文建模已变得可行。然而，在大量计算资源上长时间运行的需要阻碍了空间详细建模程序的广泛使用，特别是在高分辨率的大规模研究中。并行化计算任务成功地缓解了这一困难。我们提出了一种通过基于时间-区域路由方案对流域区域进行分组来提高直接径流传输过程模拟效率的新方法。将所提出的并行化方法应用于模拟不同大小和景观的两个流域的径流路径过程。该方法极大地提高了具有通用计算资源的时域路由仿真的计算效率。并行化的效率不受沿流路径上下游集水区之间的层次关系的限制，这可以通过时区路由方法的拉格朗日跟踪来实现。