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Comparative evaluation of 24 reference evapotranspiration equations applied on an evergreen-broadleaved forest

机译：常绿阔叶林中24种参考蒸散方程的比较评价

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摘要

Reference evapotranspiration (ET_(0)) is a major component of the hydrological cycle. Its use is essential both for the hydrological rainfall–runoff assessment models and determination of water requirements in agricultural and forest ecosystems. This study investigates the performance of 24 different methods, which produce ET_(0)or potential evapotranspiration estimates above a grass-covered ground in a Mediterranean forest environment in Greece and compares the derived results with those of the presumed most accurate and scientifically acceptable Penman–Monteith method (ET_(P-M)). Their performance was evaluated on a daily basis for a period of 17 years, using 17 different statistical parameters of goodness of fit. The results showed that some empirical methods could serve as suitable alternatives. More specifically, Copais (ET_(COP)), Hargreaves original (ET_(HAR)), and Valiantzas2 (ET_(VA2)) methods, exhibited very good values of the model efficiency index, EF (0.934, 0.932, and 0.917, respectively) and the index of agreement, d (0.984, 0.982, and 0.977, respectively). Additionally, the differences of the estimated mean daily value against the respective ET_(P-M)value (rt index) for all methods had a range of −27.8% (Penman – ET_(PEN)) to +59.5% (Romanenko – ET_(ROM)), while Copais (ET_(COP)), Hargreaves–Samani modified1 (ET_(HS1)), and STU (ET_(STU)) yielded the best values (−0.06%, +0.06%, and 0.22%, respectively).
机译：参考蒸散量（ET_（0））是水文循环的主要组成部分。它的使用对于水文降雨径流评估模型以及确定农业和森林生态系统的需水量都是必不可少的。这项研究调查了24种不同方法的性能，这些方法在希腊地中海森林环境中的草覆盖地面上产生ET_（0）或潜在的蒸散量估算值，并将得出的结果与假定的最准确和科学上可接受的Penman–蒙特斯方法（ET_（PM））。使用17种不同的拟合优度统计参数，每天评估其表现，持续17年。结果表明，一些经验方法可以作为合适的替代方法。更具体地说，Copais（ET_（COP）），Hargreaves original（ET_（HAR））和Valiantzas2（ET_（VA2））方法分别显示出非常好的模型效率指数EF（0.934、0.932和0.917）。 ）和一致性指数d（分别为0.984、0.982和0.977）。此外，所有方法的估计平均每日价值与相应ET_（PM）值（rt指数）之间的差值范围为-27.8％（Penman – ET_（PEN））至+ 59.5％（Romanenko – ET_（ROM） ）），而Copais（ET_（COP）），Hargreaves–Samani修改1（ET_（HS1））和STU（ET_（STU））产生了最佳值（分别为-0.06％，+ 0.06％和0.22％） 。

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