摘要
为实现对西北地区冬小麦腾发量(ET)的准确估算,在对不同生育期ET的影响因子进行分析后分别采用双作物系数模型、单作物系数模型和Priestley-Taylor(PT)模型模拟ET,并以大型蒸渗仪实测ET为标准值对比其精度.结果表明:气象因子是播种—返青(Ⅰ期)和抽穗—乳熟(Ⅲ期)ET的主导因子,作物因子是乳熟—收获(Ⅳ期)ET的主导因子,2种因子对返青—抽穗(Ⅱ期)和全生育期ET的驱动作用相近;Ⅰ期双作物系数模型、单作物系数模型和PT模型的R2分别为0.5118,0.2393,0.3742,RMSE变化范围为0.2846~0.3663 mm/d,总体评价指标GPI排名分别为1,3,2;Ⅱ期3个模型的R2均在0.7000以上,RMSE为0.5409~0.8440 mm/d,双作物系数模型模拟效果最好;Ⅲ期各模型的R2均高于0.6000,RMSE为0.8288~1.2587 mm/d,双作物系数模型GPI排名第1;Ⅳ期3个模型的R2分别为0.7991,0.6716,0.2708,RMSE为0.9681~1.9462 mm/d,作物系数模型模拟精度明显高于PT模型;全生育期各模型RMSE为0.5515~0.8936 mm/d,双作物系数模型的R2达到0.9022.
In order to accurately estimate the evapotranspiration(ET)of winter wheat in Northwest China,the double crop coefficient model,single crop coefficient model and Priestley Taylor(PT)model were applied to simulate ET,and the accuracy was compared with the standard value of ET measured by large lysimeter.The results show that meteorological factors are the main factors of ET from sowing to green(stageⅠ)and heading to milk maturity(stageⅢ),and crop factors are the dominant factors of ET from milk maturity to harvest(stageⅣ).The effects of the two factors on ET from turning green to heading(stageⅡ)and the whole growth period are similar.The R2 of two crop coefficient model,single crop coefficient model and PT model are 0.5118,0.2393 and 0.3742 respectively in stageⅠ.The RMSE ranges from 0.2846 mm/d to 0.3663 mm/d,and the overall evaluation index GPI rankings are 1,3 and 2.The R2 of the three models in stageⅡare all above 0.7000,and the RMSE ranges from 0.5409 to 0.8440 mm/d.The dual crop coefficient model has the best simulation effect.The R2 of each model in stageⅢis higher than 0.6000,and the RMSE ranges from 0.8288 to 1.2587 mm/d.The GPI of the dual crop coefficient model ranks first.The R2 of the three models in stageⅣare 0.7991,0.6716,0.2708,and the RMSE ranges from 0.9681 to 1.9462 mm/d.The simulation accuracy of the crop coefficient model is significantly higher than that of the PT model.The RMSE of each model ranges from 0.5515 to 0.8936 mm/d in the whole growth period,and the R2 of double crop coefficient model is 0.9022.
作者
张福娟
崔宁博
赵璐
蔡焕杰
胡笑涛
张念
肖璐
虎海波
杨德文
ZHANG Fujuan;CUI Ningbo;ZHAO Lu;CAI Huanjie;HU Xiaotao;ZHANG Nian;XIAO Lu;HU Haibo;YANG Dewen(State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu,Sichuan 610065, China;Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling,Shaanxi 712100, China;Provincial Key Laboratory of Water-Saving Agriculture in Hill Area of Southern China, Chengdu,Sichuan 610066, China;Sichuan Panzhihua Academy of Agricultural and Forestry Sciences, Panzhihua,Sichuan 617061, China)
出处
《排灌机械工程学报》
EI
CSCD
北大核心
2020年第12期1290-1296,共7页
Journal of Drainage and Irrigation Machinery Engineering
基金
“十三五”国家重点研发计划课题(2016YFC0400206)
国家自然科学基金资助项目(51779161)
“十二五”国家科技支撑计划课题(2015BAD24B01)
中央高校基本科研业务费专项资金资助项目(2018CDPZH-10,2016CDDY-S04-SCU,2017CDLZ-N22)。
