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基于蒸渗仪的冬小麦-夏玉米ET估算模型特征参数研究
引用本文:蔡甲冰,汪玉莹,刘玉春. 基于蒸渗仪的冬小麦-夏玉米ET估算模型特征参数研究[J]. 农业机械学报, 2021, 52(3): 285-295
作者姓名:蔡甲冰  汪玉莹  刘玉春
作者单位:中国水利水电科学研究院流域水循环模拟与调控国家重点实验室,北京100038;中国水利水电科学研究院流域水循环模拟与调控国家重点实验室,北京100038;河北农业大学城乡建设学院,保定071001;河北农业大学城乡建设学院,保定071001
基金项目:国家自然科学基金项目(51679254、51979286)
摘    要:为快速准确估算农田蒸散量,利用24个群集式蒸渗仪,在国家节水灌溉北京工程技术研究中心大兴节水灌溉试验站进行了两年的灌溉试验,获得冬小麦-夏玉米生育期的日内冠气温差和实际日蒸散量(ETa)等数据,对不同水分处理下的S-I蒸散量估算模型进行率定及验证,并分析模型特征参数a、b的变化规律及两者的差异.结果表明:冬小麦的S-I...

关 键 词:冬小麦  夏玉米  S-I模型  特征参数  蒸渗仪
收稿时间:2020-12-18

Feature Parameters of Evapotranspiration Estimation Model for Winter Wheat and Summer Maize Based on Lysimeter Monitoring System
CAI Jiabing,WANG Yuying,LIU Yuchun. Feature Parameters of Evapotranspiration Estimation Model for Winter Wheat and Summer Maize Based on Lysimeter Monitoring System[J]. Transactions of the Chinese Society for Agricultural Machinery, 2021, 52(3): 285-295
Authors:CAI Jiabing  WANG Yuying  LIU Yuchun
Affiliation:China Institute of Water Resources and Hydropower Research;China Institute of Water Resources and Hydropower Research;Hebei Agricultural University
Abstract:Accurate and rapid estimation of evapotranspiration in farmland is significant for precise irrigation management and optimal allocation of water resources.Based on 24 cluster lysimeters,irrigation experiments of winter wheat and summer maize were carried out in 2019—2020,in Daxing Water-saving Irrigation Experimental Station of IWHR,Beijing.Daily data of crop canopy temperatures(T c)and air temperatures(T a),and daily evapotranspiration measured by lysimeter(ET a)were observed,to calibrate and validate the named S I model,which was simple and valid to estimate field crops ET.Then the changes and values of feature parameters of S I model,a and b,were analyzed and concluded for winter wheat and summer maize,respectively.Results showed that for winter wheat,the characteristic parameter a of the S I model was increased firstly and decreased subsequently with time change in day.In the case of severe water stress,a was negative and the value was small,and in the case of other irrigation treatments,a was positive and gradually changed to negative.The characteristic parameter b in different irrigation treatment was negative.The parameter b of adequate irrigation treatment was gradually increased with time changes in the day,while the value of severe water stress treatment was relatively large,and the trend in day was unstable.For summer maize,the effect of water stress on model parameters was lower than that of winter wheat.The characteristic parameter a was positive,while the parameter b was negative,which was gradually increased with time.The variation range of parameter b under water stress treatment was significantly smaller than that under other two treatments.The characteristic parameters of drought treatment was changed greatly within days.Model parameters a and b varied greatly between winter wheat and summer maize under different treatments,but the fitting accuracy of(canopy temperature T c-air temperature T a)and(daily evapotranspiration ET d-daily net radiation Rn d)was the highest at 13:00.At this time,model parameters a and b of full irrigation were 1.082 and-1.127 for winter wheat,1.588 and-1.363 for summer maize,respectively.The determination coefficient(R 2)and consistency coefficient d were above 0.7 and 0.9 between the model ET d and measured ET a during the growth period of winter wheat and summer maize,while the values of root mean square error(RMSE)were less than 0.89 mm/d.As a contrast,the values of R 2 and d in the full irrigation treatment were both higher,and the RMSE was lower than that in other treatments,indicating that water stress affected the estimation accuracy of the model,and the S I model could be better to estimate the crop evapotranspiration under less water stress.
Keywords:winter wheat  summer corn  S-I model  feature parameter  lysimeter
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