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Developing Equations for Estimating Reference Evapotranspiration in Australia

机译:开发用于估算澳大利亚参考蒸散量的方程式

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摘要

Quantifying reference evapotranspiration (ET0) is essential in water resources management. Although, many methods have been developed with different level of accuracy, in this study, two new equations were developed and optimized for estimating ET0 using Honey-Bee Mating Optimization (HBMO) algorithm. The first eq. estimates ET0 from extraterrestrial radiation (R-a), relative humidity (RH) and mean daily temperature (T-mean), while the second uses the same parameters except that mean daily temperatures is replaced with maximum daily air temperature (T-max). Both equations were developed using climatic data from eight weather stations in Western Australia and subsequently verified using data from ten sites across Australia. The estimated ET0 values from both equations versus the FAO56-Penman-Monteith have a coefficient of determination, R-2, of larger than 0.96. Moreover, the performance of six commonly used methods of estimating ET0 including Hargreaves-Samani, Thornthwaith, Hamon, Mc Guinness-Bordne, Irmak and Jensen-Haise were assessed and the Hargreaves-Samani method performed better than others. An attempt was made to calibrate the Hargreaves-Samani equation; however, its overall performance did not improved and the two newly proposed equations are suggested to be used in Australia.
机译:量化参考蒸散量(ET0)在水资源管理中至关重要。尽管已开发出许多方法,但其准确度不同,但在本研究中,开发了两个新方程式,并使用Honey-Bee交配优化(HBMO)算法对ET0进行了优化。第一个等式根据地外辐射(R-a),相对湿度(RH)和平均日温度(T-mean)估算ET0,而第二种方法使用相同的参数,只是将平均日温度替换为最高每日空气温度(T-max)。使用来自西澳大利亚州八个气象站的气候数据开发了这两个方程,随后使用来自澳大利亚十个站点的数据进行了验证。这两个方程相对于FAO56-Penman-Monteith的估计ET0值的确定系数R-2大于0.96。此外,对包括Hargreaves-Samani,Thornthwaith,Hamon,Mc Guinness-Bordne,Irmak和Jensen-Haise在内的6种常用的ET0估计方法的性能进行了评估,Hargreaves-Samani方法的效果优于其他方法。试图校准Hargreaves-Samani方程。但是,它的整体性能没有改善,建议在澳大利亚使用两个新提出的方程式。

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