摘要
根据地貌特征及行政区划将云贵两省分为5个区域,使用当地15个气象站点共56 a的逐日气象资料计算了18种参考作物蒸散量模型的模拟值,并以FAO56 Penman-Monteith法为标准对各模型模拟值进行了精度对比及误差成因分析.结果表明:同一模型在不同云贵分区间的模拟效果差异不大,R^(2)的平均变异系数为8.81%,模型精度主要影响因素为辐射能量项,次要因素为空气动力项;综合法模型模拟精度最高,R^(2)为0.81~0.99,辐射法次之,R^(2)为0.84~0.98,温度法和水汽压法较差,R^(2)为0.24~0.83;这4种方法中,各类型最优模型分别为FAO 24 Penman(全区整体评价指标GPI为0.506,排位1),Inmark(GPI为0.142,排位4),Hargreaves-Samani(GPI为-0.022,排位12)和Romanenko(GPI为-0.072,排位13).综上,经验模型FAO 24 Penman和Inmark模型适用于亚热带季风气候云贵地区参考作物蒸散量的简化计算.
The Yun-Gui region was divided into 5 regions based on topographic features and administrative divisions.The simulated values of 18 reference crop evapotranspiration models were calculated using daily meteorological data from 15 local meteorological stations over 56 years.The accuracy of the model simulations was compared,and the causes of errors were analyzed with a benchmark calculated by the FAO56 Penman-Monteith method.The results show that the same ET 0 model performs guite similar among different zones in Yun-Gui regions.The average coefficient of variation of R^(2) is 8.81%,and the main factor affecting model accuracy is the radiation energy term,with the secondary factor being the aerodynamic term.The comprehensive method model has the highest simulation accuracy with a R^(2) of 0.81-0.99,followed by the radiation method with a R^(2) of 0.84-0.98.The temperature method and water vapor pressure method perform relatively poorly simulation accuracy with a R^(2) of 0.24-0.83.Among these four methods,the optimal models for each method are FAO 24 Penman(comprehensive score GPI is 0.506,ranking 1st),Inmark(GPI is 0.142,ranking 4th),Hargreaves-Samani(GPI is-0.022,ranking 12th),and Romanenko(GPI is-0.072,ranking 13th).In conclusion,the empirical models FAO 24 Penman and Inmark models are suitable for simplified the calculation of reference crop evapotranspiration in the Yun-Gui region with a subtropical monsoon climate.
作者
范梦颖
吴宗俊
崔宁博
王智慧
毛华艳
胡静仪
FAN Mengying;WU Zongjun;CUI Ningbo;WANG Zhihui;MAO Huayan;HU Jingyi(College of Water Resource&Hydropower,Sichuan University,Chengdu,Sichuan 610041,China;Jianyang Xintianfu Agricultu-ral Technology Co.,Ltd.,Jianyang,Sichuan 641400,China;Renshou Huarui Agricultural Investment Co.,Ltd.,Meishan,Sichuan 620500,China)
出处
《排灌机械工程学报》
CSCD
北大核心
2024年第9期928-937,共10页
Journal of Drainage and Irrigation Machinery Engineering
基金
四川省科技计划项目/农业科技成果转化资金资助项目(2023NZZJ0015)
国家重点研发计划项目(2022YFD1900805)
四川省科技计划项目/农业农村领域重点研发计划项目(2023YFN0024)。
