Assessment of Permeability Windbreak Forests with Different Porosities Based on Laser Scanning and Computational Fluid Dynamics

Accurate modeling of windbreaks is essential for the precise assessment wind protection performance. However, in most windbreak studies, models used approximate shape simulated trees, resulting significant differences between results and actual situation. In this study, terrestrial laser scanning (TLS) was to extract tree parameters, which were a quantitative structural model (AdQSM) recreate structure restore field environment using computational fluid dynamics software PHOENICS. addition, we compared bias, precision, accuracy porosity Ginkgo biloba (with elliptical crown) Populus alba conical crown), have been commonly previous studies. The showed that AdQSM has high reduction rate ability reproduce conditions study area. After simulation, speed root mean square errors point cloud at three heights (3, 6, 9 m) 0.272, 0.377, 0.437 m/s, respectively, correlation coefficients r 0.967, 0.965, 0.937, significantly more accurate than those remaining two structures. Finally, forest obtained modeled sample plot higher with permeability coefficient existing approach. Windbreak different porosities under same had effects on environment, particularly location maximum reduction, variation porosity, recovery leeward speed. TLS can accurately factors calculate thus greatly improving reliability effect research forests. This provides promising direction future related simulation