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Cite this article:敬峰,段爱旺,刘战东.基于大型蒸渗仪的冬小麦蒸散规律及其模拟[J].灌溉排水学报,0,():-.
jingfeng,duanaiwang,liuzhandong.基于大型蒸渗仪的冬小麦蒸散规律及其模拟[J].灌溉排水学报,0,():-.
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The Study about the Rule of Evapotranspiration and Simulation of Winter Wheat based on Large-scale lysimeters
jingfeng, duanaiwang, liuzhandong
Farmland Irrigation Research Institute
Abstract:
The Study about the Rule of Evapotranspiration and Simulation of Winter Wheat based on Large-scale lysimeters Abstract:【Objective】The estimation model of evapotranspiration of winter wheat under different soil moisture conditions was explored to provide theoretical basis for field water management and intelligent irrigation control decision of winter wheat.【Method】In the area of North China,taking winter wheat as the research object, with the help of large-scale lysimeters, three lower limit levels of soil water content irrigation control(T70:70% field water capacity, T60:60% field water capacity, T50:50% field water capacity ) were set up. The evapotranspiration was estimated by single crop coefficient method, dual crop coefficient method and stepwise regression method, and the model was evaluated with relevant statistical indicators such as NSE and RSR.【Results】With the increase of soil water stress, the total evapotranspiration and evapotranspiration at each growth stage of winter wheat gradually decreased(T70>T60>T50);Based on the measured results of large-scale lysimeter,the evapotranspiration estimation model was established by single crop coefficient modle,dual crop coefficient model and BP artificial neural network. The field measured data were used to verify the simulation results of evapotranspiration which showed that under severe water stress treatment(T50),only the simulation results of dual crop coefficient model were suitable(NSE=0.646,RSR=0.599).Under moderate water stress(T60),BP artificial neural network model was relatively optimal(NSE=0.872,RSR=0.360),and dual crop coefficient model also had good estimation effect(NSE= 0.729,RSR=0.523 ).Under mild water stress(T70),each model had good estimation effect.【Conclusion】The dual crop coefficient model is suitable for different soil water stress levels. Key words:winter wheat;large-scale lysimeters;different water treatment;evapotranspiration estimation;model evaluation
Key words:  winter wheat;large-scale lysimeters;different water treatment;evapotranspiration estimation;model evaluation