密植型温室番茄作物层温度的模拟研究

Modeling crop layer temperature of close planting tomato in greenhouse

建立作物层温度的模拟模型,并利用实测数据对所建模型进行试验验证,同时分析温室环境因子与作物层温度的关系,对室内温度、净辐射、空气饱和水汽压差(VPD)等环境数据进行作物层温度的多元线性回归模型。结果表明:模型能较好地预测玻璃温室作物层温度,作物层上部和下部温度模拟值与测量值之间的决定系数R2分别为0.890 6、0.840 8,标准误差SE分别为0.71、0.82℃,上下部温度一致性差。作物层温度与室内温度、净辐射、VPD的多元线性回归模型的温度拟合值与实测值之间的R2为0.942 4,SE为0.72℃,相关性极显著。预测模型可以为密植型温室作物灌溉决策提供可靠的参考依据。

A crop layer temperature simulation model was proposed to make further analysis on greenhouse microclimate of tomato and provide reference for crop irrigation.The experiment was carried out to validate the correctness of the model in a glass greenhouse in Zhangjiagang.The simulated crop layer temperature agreed wel1 with the measured data.The correlation determination coefficient R2 and the standard error SE-between-the simulated and measured crop layer top and bottom temperature were 0.890 6,0.840 8,and 0.71,0.82 ℃,respectively.The multiple regression model-between-crop layer temperature and interior air temperature,net radiation and VPD（Saturated air difference of vapour pressure） was built.The correlation determination coefficient R2 and the standard error SE were 0.942 4 and 0.721 6 ℃,respectively.The prediction model can provide reference for greenhouse irrigation decision.