首页> 外文期刊>International Journal of Engineering Science and Technology >Comparative study of reference crop evapotranspiration (ETo) by different energy based method with FAO 56 Penman-Monteith method and at New Delhi, India
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Comparative study of reference crop evapotranspiration (ETo) by different energy based method with FAO 56 Penman-Monteith method and at New Delhi, India

机译:粮农组织56 Penman-Monteith方法和印度新德里采用不同能量方法的参考作物蒸散量(ETo)的比较研究

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The use of FAO 56 Penman-Monteith method for reference evapotranspiration (ETo) calculations to get crop water requirement has been recommended globally because it provides good results under wide range of climatic conditions. In absence of reliable data required for this method various other methods viz.FAO 24 Radiation, Priestley-Taylor, Blaney-Criddle, Hargreaves, Turc, Makkink and Pan Evaporation are used commonly. Main objective of this study is to evaluate performance of these seven commonly used energy based methods based on their daily ETo predictions compared to FAO 56 Penman-Monteith method predicted ETo and lysimetric ETc under prevailing climatic conditions of New Delhi. Use of Maize (Zea mays L.) crop lysimeter ET along with other meteorological parameters for seventeen carefully selected crop seasons ranging from 1976 to 2006 had done for performance evaluation. Statistical indicators used to evaluate performance were regression coefficient (R2), least root mean square difference (RMSD), mean bias error (MBE) and t-statistics. It can be concluded from the overall study that Priestley-Taylor and FAO 24 Blaney-Criddle method can be used for ETo predictions under wide range of climatic conditions when limited data is available or non reliability of data.
机译:在全球范围内,建议使用FAO 56 Penman-Monteith方法进行参考蒸散量(ETo)的计算,以获取农作物的需水量,因为该方法在各种气候条件下都能提供良好的结果。在缺乏该方法所需的可靠数据的情况下,通常使用各种其他方法,例如,FAO 24辐射,Priestley-Taylor,Blaney-Criddle,Hargreaves,Turc,Makkink和Pan蒸发。这项研究的主要目标是,根据新德里的主要气候条件下与粮农组织56 Penman-Monteith方法预测的ETo和溶度ETc相比,根据其日常ETo预测评估这七个常用的基于能量的方法的性能。玉米(Zea mays L.)作物测湿仪ET和其他气象参数在1976年至2006年这17个精心挑选的作物季节中的使用已进行了性能评估。用于评估性能的统计指标是回归系数(R2),最小均方根差(RMSD),平均偏差误差(MBE)和t统计量。从总体研究中可以得出结论,在可获得有限数据或数据不可靠的情况下,Priestley-Taylor和FAO 24 Blaney-Criddle方法可用于多种气候条件下的ETo预测。

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