利用哈格里夫斯方法估算巴西goiÁs州的太阳辐射参考蒸散量

C. V. Leite, D. Casaroli, M. R. Vicente, Raphael Cessa Maia Aveiro, J. A. Junior
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引用次数: 1

摘要

与Penman-Monteith FAO(PM-FAO)标准方法相比,本研究评估了哈格里夫斯模型(HG),并对辐射方程的校准系数(Krs)进行了季节性调整,以估计巴西戈亚斯州23个气象站的参考蒸散量(ETo)。使用Pearson相关系数、Willmott一致性指数、相对误差、绝对平均误差和均方根误差对模型进行评估。Krs值范围为0.146至0.189°C-0.5,而ETo PM-FAO范围为3.68至4.79 mm d-1;ETo HG为3.99至5.16 mm d-1,ETo HG Krs为4.15至5.02 mm d-1。季节性调整导致干旱期(4月至9月)的数值为0.144至0.205°C-0.5,雨季(10月至3月)的值为0.144~0.146°C-0.5。第一季度(夏季),Krs值为0.150至0.175°C-0.5;第二季度(秋季),从0.154°C-0.5到0.218°C-0.5;第三季度(冬季),从0.139°C-0.5到0.206°C-0.5;最后是0.141至0.166°C-0.5的第四个四分之一(弹簧)。因此,考虑到ETo的简单性及其与标准方法的良好一致性,使用季节性调整模型被证明是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
REFERENCE EVAPOTRANSPIRATION THROUGH HARGREAVES METHOD USING THE SOLAR RADIATION ESTIMATION FOR GOIÁS STATE, BRAZIL
This study evaluated the Hargreaves model (HG) with seasonal adjustments of the calibration coefficient (Krs) of the radiation equation to estimate the reference evapotranspiration (ETo) in 23 weather stations in Goiás State, Brazil, in comparison to the Penman-Monteith FAO (PM-FAO) standard method. The models were evaluated using Pearson’s correlation coefficient, Willmott’s agreement index, relative error, absolute mean error and root mean square error. The Krs values ranged from 0.146 to 0.189 ° C-0.5, while ETo PM-FAO ranged from 3.68 to 4.79 mm d-1; ETo HG from 3.99 to 5.16 mm d-1 and ETo HG-Krs from 4.15 to 5.02 mm d-1 in the annual period. Seasonal adjustments resulted in values of 0.144 to 0.205 ° C-0.5 for the dry period, from April to September, and 0.144 to 0.146 ° C-0.5 for the rainy period, from October to March. The first quarter (summer), presented Krs values from 0.150 to 0.175 ° C-0.5; the second quarter (autumn), from 0.154 to 0.218 ° C-0.5; the third quarter (winter), from 0.139 to 0.206 ° C-0.5; and, finally, the fourth quarter (spring) of 0.141 to 0.166 ° C-0.5. Thus, the use of the seasonally adjusted model proved to be viable for the estimation of ETo, in view of the simplicity and its good adherence to the standard method.
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