Retrieval of Aerodynamic Parameters in Rubber Tree Forests Based on the Computer Simulation Technique and Terrestrial Laser Scanning Data
Retrieval of Aerodynamic Parameters in Rubber Tree Forests Based on the Computer Simulation Technique and Terrestrial Laser Scanning Data
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基于计算机模拟技术和地面激光扫描数据的橡胶林气动参数反演
DOI：
10.3390/rs12081318
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发表时间：
2020-04-01
期刊：
影响因子：
5
通讯作者：
Yun, Ting
中科院分区：
文献类型：
--
作者：
Huang, Zhixian;Huang, Xiao;Yun, Ting
我国东南沿海沿着的橡胶树经常遭受飓风的严重危害。目前缺乏对不同橡胶树无性系抗风能力的定量评估。我们专注于脆弱性评估的不同无性系橡胶树风干扰的影响下，采用多学科的方法，结合扫描点，空气动力学，机器学习和计算机图形学。利用地面激光扫描采集了两种典型橡胶树（PR 107和CATAS 7-20-59）的点云数据，并利用机器学习聚类算法构建了树体骨架连接链。首次提出了基于树干和一级树枝的叶簇概念，以优化橡胶树小区三维建模，用于模拟风场和评估风相关参数。表型性状分析结果表明，叶面积指数和枝干夹角的变化分别导致树冠拓扑结构和树冠空隙率的变化，是影响橡胶树抗飓风能力的主要因素。空气动力学分析表明，橡胶树无性系PR 107小区内的最大动压、风速和湍流强度等风相关参数在300 Pa、30 m/s、15%的压力下，橡胶树小区的平均风速比橡胶树小区的平均风速大（120 Pa，18 m/s，5%），导致局地强气旋发生的概率较高，对飓风灾害的脆弱性也较高。
Rubber trees along the southeast coast of China always suffer severe damage from hurricanes. Quantitative assessments of the capacity for wind resistance of various rubber tree clones are currently lacking. We focus on a vulnerability assessment of rubber trees of different clones under wind disturbance impacts by employing multidisciplinary approaches incorporating scanned points, aerodynamics, machine learning and computer graphics. Point cloud data from two typical rubber trees belonging to different clones (PR107 and CATAS 7-20-59) were collected using terrestrial laser scanning, and a connection chain of tree skeletons was constructed using a clustering algorithm of machine learning. The concept of foliage clumps based on the trunk and first-order branches was first proposed to optimize rubber tree plot 3D modelling for simulating the wind field and assessing the wind-related parameters. The results from the obtained phenotypic traits show that the variable leaf area index and included angle between the branches and trunk result in variations in the topological structure and gap fraction of tree crowns, respectively, which are the major influencing factors relevant to the rubber tree’s capacity to resist hurricane strikes. The aerodynamics analysis showed that the maximum dynamic pressure, wind velocity and turbulent intensity of the wind-related parameters in rubber tree plots of clone PR107 (300 Pa, 30 m/s and 15%) are larger than that in rubber tree plots of clone CATAS-7-20-59 (120 Pa, 18 m/s and 5%), which results in a higher probability of local strong cyclone occurrence and a higher vulnerability to hurricane damage.