基于椭球函数的棉花叶倾角分布动态模拟  

Dynamic Simulation of Leaf Inclination Angle Distribution Based on Ellipsoidal Function

作　　者：张军[1] 王一鸣[2] 赵燕东[3] 李金平[1] 

机构地区：[1]北京联合大学信息学院,北京100101 [2]中国农业大学信息与电气工程学院,北京100083 [3]北京林业大学工学院,北京100083

出　　处：《农业机械学报》2009年第4期157-160,183,共5页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家自然科学基金资助项目(60073007)

摘　　要：根据试验资料,在系统分析棉花冠层叶倾角时空分布规律的基础上,将整个生育期分为4个生长阶段,并利用高斯五点距离法将冠层分为5层,用椭球分布函数模拟不同生育阶段、不同高度层上的叶倾角分布密度。模型能较全面地反映整个生育期冠层不同高度上的叶倾角分布情况,且方便用于分层的光合作用模型。利用不同播期的试验资料对模型进行验证,叶倾角频率分布的模拟结果与1∶1直线之间的决定系数R2和均方根误差(RMSE)分别为0.945和6.3%,表明模型具有较好的预测性和实用性。On the basis of analyzing the temporal and spatial distribution of cotton leaf inclination angle, the ellipsoidal function was used to simulate the dynamic distribution of cotton leaf inclination angle. Cotton growth period was divided into four phases, and cotton canopy was divided into five layers according to Gauss distance. The model simulated the leaf inclination angle density distribution of different highness during different growth period that it can reflect leaf inclination angle distribution accurately. The model was validated by experimental data of different sowing dates. The coefficient of determination （R^2） based on the 1：1 line and the root mean square error between the simulated and measured values are 0. 945 and 6.3 % respectively. It proved that simulation results of the model come very close to the actual values.

关 键 词：棉花 叶倾角分布 椭球函数 动态模拟 

分 类 号：S562[农业科学—作物学] S314