Assessment of Permeability Windbreak Forests with Different Porosities Based on Laser Scanning and Computational Fluid Dynamics
Assessment of Permeability Windbreak Forests with Different Porosities Based on Laser Scanning and Computational Fluid Dynamics
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基于激光扫描和计算流体动力学的不同孔隙度防风林渗透性评估
DOI：
10.3390/rs14143331
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发表时间：
2022-07
期刊：
影响因子：
5
通讯作者：
Hao Li
中科院分区：
文献类型：
--
作者：
Likun An;Jia Wang;Nina Xiong;Yutang Wang;Jiashuo You;Hao Li
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.
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影响因子：
2.5
作者：
L. D. Lopez;Yuanyuan Ding;Jingyi Yu
通讯作者：
L. D. Lopez;Yuanyuan Ding;Jingyi Yu
影响因子：
6.2
作者：
Mohsen Rezaei Torshizi;Abbas Miri;R. Davidson‐Arnott
通讯作者：
Mohsen Rezaei Torshizi;Abbas Miri;R. Davidson‐Arnott
影响因子：
6.2
作者：
T. Takeda;H. Oguma;Tomohito Sano;Yasumichi Yone;Y. Fujinuma
通讯作者：
T. Takeda;H. Oguma;Tomohito Sano;Yasumichi Yone;Y. Fujinuma
DOI：
10.1016/j.isprsjprs.2015.03.003
发表时间：
2015-06-01
影响因子：
12.7
作者：
Koenig, Kristina;Hoefle, Bernhard;Lilienthal, Holger
通讯作者：
Lilienthal, Holger
影响因子：
6.6
作者：
Chang, Xiaomin;Sun, Libo;Zhu, Xuhui
通讯作者：
Zhu, Xuhui