Modelling vegetation-flow interactions: The importance of accurately representing plant morphology

摘要: This paper presents results from a recently developed methodology to incorporate natural plant morphologies into computational fluid dynamics (CFD) model used predict complex flow fields. Simulations of around morphologically plants, represented both statically and dynamically, are presented. The morphological complexity, comprising the vertical lateral distribution individual branches leaves captured using terrestrial laser scanning (TLS), voxelised, for numerical prediction flow. For static representation, is incorporated CFD scheme by mass flux scaling algorithm (MFSA). We test sensitivity voxel size represent in model, where sizes ≤ 0.01 m better able maintain complexity TLS, resolving wake zones behind single branches/leaves. Pressure fields highly sensitive size, with back-calculated drag forces varying over an order magnitude between 0.005 0.04 m. Inappropriately selected can therefore over-estimate vegetative resistance. In incrementally altering aspect primary direction, streamlining sheltering effects become apparent, reflected force coefficient response. dynamic time-varying biomechanical coupled Large Eddy Simulation (LES) motion through time. Preliminary demonstrate ability time-dependent scheme, providing significant step forward modelling vegetation-flow interactions.