基于改进Makkink模型的四川盆地参考作物蒸散量估算  

Estimation of reference crop evapotranspiration in Sichuan Basin based on improved Makkink model

作　　者：吴宗俊 崔宁博[1,2] 胡笑涛[2] 龚道枝[3] 王耀生 冯禹[1,3] 邢立文 朱彬 邹清垚 WU Zongjun;CUI Ningbo;HU Xiaotao;GONG Daozhi;WANG Yaosheng;FENG Yu;XING Liwen;ZHU Bin;ZOU Qingyao(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;National Engineering Laboratory of Efficient Crop Water Use and Disaster Reduction, Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

机构地区：[1]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 [2]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 [3]中国农业科学院农业环境与可持续发展研究所作物高效用水与抗灾减损国家工程实验室,北京100081

出　　处：《排灌机械工程学报》2021年第5期509-516,共8页Journal of Drainage and Irrigation Machinery Engineering

基　　金：“十三五”国家重点研发计划项目(2016YFC0400206-03);国家自然科学基金资助项目(51922072,51779161,51009101);中央高校基本科研业务费专项资金资助项目(2019CDLZ-10)。

摘　　要：为了有效提高四川盆地参考作物蒸散量ET0的预报精度,选取四川盆地16个代表性气象站点1961—2019年逐日气象数据,基于差分进化算法(DE)对辐射模型的经验参数校准改进Makkink模型并估算四川盆地ET0,在日、月尺度上对改进的Makkink模型(M1—M6)和Jennsen-Haise(JH)及Irmak(IK)模型评价.结果表明:在日尺度上,改进的Makkink(M1—M6)模型(R2为0.77~0.87)模拟结果比JH和IK模型(R2为0.74~0.76)更精确,改进的Makkink模型中,M4模型估算精度最高,综合性指标GPI中位数为1.05;在月尺度上,改进的Makkink模型模拟结果(误差为3.59~15.71 mm/月)也优于JH和IK模型(误差为6.84~25.31 mm/月),其中M4模型估算精度最佳,综合性指标GPI为1.72.总体而言,推荐以温度和相对湿度作为输入数据的M4模型模拟四川盆地ET0.In order to effectively improve the prediction accuracy of ET0 in the Sichuan Basin,the daily meteorological data of 16 representative meteorological stations in the Sichuan Basin from 1961 to 2019 were selected.The Makkink model was improved based on differential evolution algorithm to calibrate the empirical parameters of the radiation model,and the ET0 in the Sichuan Basin was estimated.The improved Makkink model(M1—M6)and Jennsen-Haise(JH)and Irmak(IK)models were evaluated on daily and monthly scales.The results showed that:on the daily scale,the simulation results of the improved Makkink(M1—M6)model(R2 range 0.77-0.87)are more accurate than those of JH and IK models(R2 range 0.74-0.76).Among the improved Makkink models,the M4 model has the highest estimation accuracy,and the medians of comprehensive index GPI is 1.05.On the monthly scale,the simulation results of the improved Makkink models(error range 3.59-15.71 mm/month)are better than that of JH and IK models(error range 6.84-25.31 mm/month),among which the M4 model has the best estimation accuracy,and the medians of comprehensive index GPI is 1.72.In gene-ral,it is recommended to consider the M4 model with temperature and relative humidity as input data to calculate ET0 in Sichuan Basin.

关 键 词：参考作物蒸散量 优化算法 Makkink模型 太阳辐射模型 四川盆地 

分 类 号：S274.3[农业科学—农业水土工程] S161.4[农业科学—农业工程]