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The application and development of Integrated Surface Subsurface Hydrological Models (ISSHMs) have grown in the last few decades thanks to the advent of High-Performance Computing (HPC) infrastructures, the Big Data availability and the increasing capacity to represent several hydrological processes at the same time. Here we investigate how the mesh size affects the results of a new ISSHM based on the Cellular Automata (CA) paradigm, named HydroCAL, implemented through the OpenCAL scientific software library, which is able to exploit multi/many-core systems. The model is based on the coupling between a 3D variably saturated subsurface flow module and a 2D surface routing module. The model was tested reconstructing a single multi-peak flow event in a small headwater catchment (7 km2). Two different resolutions of the computational mesh were considered, i.e. 20 m and 5 m, with different computational requirements. The results highlight the capability of HydroCAL to reproduce streamflow correctly in a reasonable computing time. Moreover, adopting a high-performance parallel environment reduces the computational efforts required by a more finer grid.

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The Effects of Different Mesh Sizes on a Cellular Automata-Based Hydrological Model

  • 会议论文

  • 发表日期：

    2025年

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  • Luca Furnari,
  • Alfonso Senatore

摘要

The application and development of Integrated Surface Subsurface Hydrological Models (ISSHMs) have grown in the last few decades thanks to the advent of High-Performance Computing (HPC) infrastructures, the Big Data availability and the increasing capacity to represent several hydrological processes at the same time. Here we investigate how the mesh size affects the results of a new ISSHM based on the Cellular Automata (CA) paradigm, named HydroCAL, implemented through the OpenCAL scientific software library, which is able to exploit multi/many-core systems. The model is based on the coupling between a 3D variably saturated subsurface flow module and a 2D surface routing module. The model was tested reconstructing a single multi-peak flow event in a small headwater catchment (7 km2). Two different resolutions of the computational mesh were considered, i.e. 20 m and 5 m, with different computational requirements. The results highlight the capability of HydroCAL to reproduce streamflow correctly in a reasonable computing time. Moreover, adopting a high-performance parallel environment reduces the computational efforts required by a more finer grid.