宿州市6种参考作物蒸散估算方法适用性评价

Applicability Evaluation of Evapotranspiration Estimation Methods of Six Reference Crops in Suzhou

基于宿州市1953—2019年的逐日气象资料,使用FAO-56 Penman-Monteith(PM56)、Irmak-Allen(IA)、Makkink(Ma)、Irmak(Irmak)、Hargreasves-Samani(HS)和Priestley-Taylor(PT)法共6种不同数据基础下估算各站点逐日参考作物蒸散量(ET0)。以PM56结果为标准,利用决定系数(R)、均方根误差(RMSE)、相对误差(RE)等方法开展年月日尺度的精度评价。结果表明:年尺度上,PT法、Ma法存在较大误差,HS和IA法RMSE偏高,均不适于宿州地区,Irmak法年值模拟效果最佳;月尺度上,Ma法模拟值整体偏低,PT法在1、12月适用性较好,其余月份误差最大,3—10月份Irmak法模拟效果最好;日尺度上,Irmak法同样呈现最优拟合效果。数据约束下,Irmak法可作为宿州地区参考作物蒸散估算的最优算法。

Based on the daily meteorological data of Suzhou from 1953 to 2019,FAO-56 Penman-Monteith( PM56),Irmak-Allen( IA),Makkink( Ma),Irmak( Irmak),Hargreasves-Samani( HS) and Priestley-Taylor( PT) methods were used to estimate daily evapotranspiration( ET;) of reference crops based on different data at each station. Taking PM56 results as the standard,the determination coefficient( R),root mean square error( RMSE),relative error( RE)was used to evaluate the accuracy of the annual,monthly and daily scales. The results show that PT method and Ma method have large errors on the annual scale,while HS and IA methods have high RMSE,which are not suitable for Suzhou area,and Irmak method has the best effect on annual value simulation. On the monthly scale,the simulation value of Ma method was generally low;the applicability of PT method was better in January and December,and the error of other months was the largest,and the simulation effect of Irmak method from March to October was the best.On the daily scale,Irmak method also showed the optimal fitting effect. Under the data constraints,Irmak method can be used as the optimal algorithm for reference crop evapotranspiration estimation in Suzhou.