华北地区冬季温室植物冠层温度建模

Modeling Greenhouse Plant Canopy Temperature in North China during Winter

基于温室内植物冠层能量平衡关系,建立了与温室内、外气象条件和温室结构相关的冠层温度模拟机理模型,并在华北地区文洛型温室内对该模型进行了试验验证。结果表明:模型能较好地模拟冬季温室内植物冠层温度,模拟值和实测值之间的相关系数为0.797 5,均方根误差为1.3℃。建立了冠层温度的BP神经网络模型,模型相关系数为0.783 5,均方根误差为0.6℃。在所建神经网络模型基础上,运用敏感性分析法对影响冠层温度的各因素进行重要性分析和排序,得出影响冠层温度的最重要因子是室内温度,其次为蒸腾速率、室外太阳辐射和室内相对湿度。

According to the balance of plant canopy energy, a mathematical model of simulating greenhouse plant canopy temperature that has relations with greenhouse inside and outside climate and structure was developed. The experiment was carried out to validate the correctness of the model in the Venlotype greenhouse in North China during winter. The simulated canopy temperature agreed well with the measured data. The determination coefficient and the root mean square error between the measured and simulated canopy temperature were 0. 797 5 and 1.3℃, respectively. Then a BP neural network model of canopy temperature was built, the determination coefficient and the root mean square error were 0.783 5 and 0.6℃. Based on the neural network model, the influencing factors sensitivity of canopy temperature was analyzed. The inside temperature is the most important factor, and the next ones are in order of the transpiration rate, solar radiation and inside relative humidity.