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辐热积驱动的温室甜瓜作物系数模型
张中典1, 张大龙1, 李建明,等1
西北农林科技大学 园艺学院
摘要:
【目的】以温室内环境因子(光照和温度)为自变量预测温室甜瓜作物系数的变化,为温室甜瓜耗水量的实时预测及灌溉管理提供理论依据。【方法】通过2012、2013年不同播期试验的甜瓜耗水数据与温室内参考作物蒸腾蒸发量,对温室甜瓜作物系数进行了连续测定,采用辐热积量化光辐射和温度对作物系数的综合影响效应,以三次多项式形式定量表达充分灌溉条件下甜瓜作物系数与生长期辐热积的关系,建立辐热积驱动的甜瓜作物系数预测模型,并采用与建模相独立的试验资料对模型进行检验。【结果】甜瓜的作物系数年际间变化不大,表现出较好的稳定性。采用辐热积驱动的作物系数模型,预测值与实际观测值的决定系数和均方根误差分别为0.95和0.12。采用有效积温法对作物系数的预测值与实际观测值间的决定系数和均方根误差分别为0.88和0.17。【结论】辐热积驱动的温室甜瓜作物系数模型综合考虑了光辐射和温度对作物生长过程的驱动效应,具有更高的机理性和预测精度,模型形式简洁,是动态估算温室作物生长过程中耗水量的有效途径。
关键词:  温室  甜瓜  蒸腾  辐热积  作物系数
DOI:
分类号:
基金项目:国家自然科学基金项目(31471916)
Modeling crop coefficient for muskmelon in greenhouse using photo thermal product
ZHANG Zhongdian,ZHANG Dalong,LI Jianming,et al
Abstract:
【Objective】A model based on photo-thermal product (PTP) for simulating the change of crop coefficient (Kc) of greenhouse muskmelon was established to provide theoretical support for predicting time-real water consumption of greenhouse muskmelon and irrigation management.【Method】Based on the experimental data of melon with different sowing dates in 2012 and 2013,Kc was measured by crop evapotranspiration (ETc) and reference evapotranspiration (ET0) on daily basis. A polynomial model was developed to predict Kc as a function of PTP with a high coefficient of determination R2 of 0.91.With independent experimental data,the PTP based Kc estimation model was evaluated in comparison with the model based on growing degree days (GDD).【Result】The PTP based Kc model showed substantial agreement between simulated and estimated Kc.The coefficient of determination(R2) and root mean squared error (RMSE) between the measured and estimated Kc were 0.95 and 0.12,respectively.The GDD based model showed a relatively substantial deviation with R2 and RMSE of 0.88 and 0.17,respectively.【Conclusion】The PTP based Kc model established in this paper had higher accuracy and stronger mechanism compared with those models based on GDD.Thus,it is an effective approach to estimate crop water consumption dynamically during growth period.
Key words:  greenhouse  muskmelon transpiration  photo-thermal product  crop coefficient