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(00708)Performance Evaluation of Mass Transfer-Based Method using Global Performance Index in Semi-Arid Region Saudi Arabia

机译:(00708)在沙特阿拉伯半干旱地区全球绩效指标对大规模转移的方法进行性能评价

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The standard method for the estimation of reference evapotranspiration (ETo)is FAO-Penman-Monteith (FAO56-PM). However, it requires various climatic parameters which are often hard to achieve due to various reason. In order to bridge this gap an alternative equation has to be find out. The main aim of this research work was to assess the performance of the various mass transfer-based method with respect to standard FAO56-PM. Daily meteorological data from 1980 to 2018 has been used to compute reference evapotranspiration. Daily ETo values were computed. Among the computed values 70% of them were used to calibrate the mass transfer equations under study and remaining 30 % data were used to validate the calibrated equation against the standard method. The calibrated models were analysed and compared using statistical tools and ranked using Global Performance Indicator where a higher value represented a model's better performance. The models were then arranged using GPI and it was found that Albrecht model resulted in best estimation capability. The results of this study could be used by the water management system, crop cultivators, crop advisors, researchers and students from universities and research centres. Moreover, it is beneficial for the decision maker in the vast field of agriculture, hydrology and environment.
机译:估计参考蒸散(ETO)的标准方法是FAO-Penman-Monteith(FAO56-PM)。然而,它需要各种气候参数,由于各种原因,通常难以实现。为了弥合这个差距,必须找出替代方程。本研究工作的主要目的是评估各种批量转移的方法关于标准FAO56-PM的性能。每日来自1980年至2018年的气象数据已被用于计算参考蒸发。每日ETO值计算。在计算的值中,它们中的70%用于校准研究下的传质方程,并且剩余30%的数据用于验证校准方程,以防止标准方法进行校准的方程。分析并使用统计工具进行分析并使用统计工具进行比较,并使用全局性能指标进行排序,其中更高的值表示模型的更好性能。然后使用GPI排列模型,发现Albrecht模型导致最佳估计能力。该研究的结果可以由水管理系统,作物中耕机,作物顾问,研究员和来自大学和研究中心的学生使用。此外,它对决策者在广阔的农业,水文和环境中是有益的。

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