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

被引:10
作者
An, Likun [1 ,2 ]
Wang, Jia [1 ,2 ]
Xiong, Nina [1 ,2 ]
Wang, Yutang [1 ,2 ]
You, Jiashuo [1 ,2 ]
Li, Hao [1 ,2 ]
机构
[1] Beijing Forestry Univ, Beijing Key Lab Precise Forestry, Beijing 100083, Peoples R China
[2] Beijing Forestry Univ, Inst GIS RS & GPS, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
point cloud modeling; computational fluid dynamics; windbreak forest; accuracy analysis; NUMERICAL-SIMULATION; TREES; FLOW;
D O I
10.3390/rs14143331
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Accurate modeling of windbreaks is essential for the precise assessment of wind protection performance. However, in most windbreak studies, the models used the approximate shape of the simulated trees, resulting in significant differences between the simulated results and the actual situation. In this study, terrestrial laser scanning (TLS) was used to extract tree parameters, which were used in a quantitative structural model (AdQSM) to recreate the tree structure and restore the wind field environment using the computational fluid dynamics software PHOENICS. In addition, we compared the bias, precision, and accuracy of porosity of Ginkgo biloba (with elliptical crown) and Populus alba (with conical crown), which have been commonly used in previous windbreak studies. The results showed that AdQSM has a high reduction rate and ability to reproduce the field conditions of the study area. After wind field simulation, the wind speed root mean square errors of the point cloud model at three heights (3, 6, and 9 m) were 0.272, 0.377, and 0.437 m/s, respectively, and the wind speed correlation coefficients r were 0.967, 0.965, and 0.937, respectively, which were significantly more accurate than those of the remaining two structures. Finally, the porosity of the windbreak forest obtained using the modeled sample plot showed a higher correlation with the wind permeability coefficient than that obtained using the existing approach. Windbreak models with three different porosities under the same conditions had different effects on the wind environment, particularly the location of the maximum wind speed reduction, variation of wind speed with porosity, and recovery rate of leeward wind speed. TLS can accurately extract windbreak factors and calculate the porosity, thus greatly improving the reliability of windbreak effect research in windbreak forests. This study provides a promising direction for future research related to the simulation of windbreak effects in windbreak forests.
引用
收藏
页数:21
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