| 西北地区冬小麦腾发量估算模型适用性评价 |
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| 引用本文： | 张福娟,崔宁博,赵璐,蔡焕杰,胡笑涛,张念,肖璐,虎海波,杨德文.西北地区冬小麦腾发量估算模型适用性评价[J].排灌机械工程学报,2020,38(12):1290-1296. |
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| 作者姓名： | 张福娟 崔宁博 赵璐 蔡焕杰 胡笑涛 张念 肖璐 虎海波 杨德文 |
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| 作者单位： | 四川大学水力学与山区河流开发保护国家重点实验室,四川 成都610065;四川大学水力学与山区河流开发保护国家重点实验室,四川 成都610065;西北农林科技大学旱区农业水土工程教育部重点实验室,陕西 杨凌712100;南方丘区节水农业研究四川省重点实验室,四川 成都 610066;西北农林科技大学旱区农业水土工程教育部重点实验室,陕西 杨凌712100;四川省攀枝花农林科学研究院,四川 攀枝花617061 |
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| 基金项目： | 国家重点研发计划;国家自然科学基金;国家科技支撑计划;中央高校基本科研业务费专项;中央高校基本科研业务费专项;中央高校基本科研业务费专项 |
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| 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0.511 8,0.239 3,0.374 2,RMSE变化范围为0.284 6~0.366 3 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0.700 0 以上,RMSE为0.540 9~0.844 0 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0.600 0,RMSE为0.828 8~1.258 7 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0.799 1,0.671 6,0.270 8,RMSE为0.968 1~1.946 2 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0.551 5~0.893 6 mm/d,双作物系数模型的R2达到0.902 2.
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| 关 键 词： | 冬小麦 作物系数模型 Priestley-Taylor模型 腾发量 西北地区 |
| 收稿时间： | 2019-04-12 |
Evaluation of applicability of winter wheat evapotranspiration estimation model in Northwest China |
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| ZHANG Fujuan,CUI Ningbo,ZHAO Lu,CAI Huanjie,HU Xiaotao,ZHANG Nian,XIAO Lu,HU Haibo,YANG Dewen.Evaluation of applicability of winter wheat evapotranspiration estimation model in Northwest China[J].Journal of Drainage and Irrigation Machinery Engineering,2020,38(12):1290-1296. |
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| Authors: | ZHANG Fujuan CUI Ningbo ZHAO Lu CAI Huanjie HU Xiaotao ZHANG Nian XIAO Lu HU Haibo YANG Dewen |
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| Institution: | 1. State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, Sichuan 610065, China; 2. Institute of Water-saving Agriculture in Arid Areas of China, Northwest A&F University, Yangling, Shaanxi 712100, China; 3. Provincial Key Laboratory of Water-Saving Agriculture in Hill Area of Southern China, Chengdu, Sichuan 610066, China; 4. Sichuan Panzhihua Academy of Agricultural and Forestry Sciences, Panzhihua, Sichuan 617061, China |
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| Abstract: | 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 are applied to simulate ET, and the accuracy is 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(stage I)and heading to milk maturity(stage III), and crop factors are the dominant factors of ET from milk maturity to harvest(stage IV). The effects of the two factors on ET from turning green to heading(stage II)and the whole growth period are similar. The R2 of two crop coefficient model, single crop coefficient model and PT model are 0.511 8, 0.239 3 and 0.374 2 respectively in stage Ⅰ. The RMSE ranges from 0.284 6 mm/d to 0.366 3 mm/d, and the overall evaluation index GPI rankings are 1, 3 and 2. The R2 of the three models in stage II are all above 0.7, and the RMSE ranges from 0.540 9 to 0.844 0 mm/d. The dual crop coefficient model has the best si-mulation effect. The R2 of each model in stage Ⅲ is higher than 0.6, and the RMSE ranges from 0.8288 to 1.258 7 mm/d. The GPI of the dual crop coefficient model ranks first. The R2 of the three models in stage IV are 0.799 1, 0.671 6, 0.270 8, and the RMSE ranges from 0.968 1 to 1.946 2 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 0.551 5 to 0.893 6 mm/d in the whole growth period, and the R2 of double crop coefficient model is 0.902 2. |
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| Keywords: | winter wheat crop coefficient model Priestley-Taylor model evapotranspiration Northwest China |
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