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Regional-Specific Numerical Models of Evapotranspiration Using Gene-Expression Programming Interface in Sahel

机译:萨赫勒地区基于基因表达编程接口的蒸散发地区数值模型

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An accurate and simple Reference Evapotranspiration (ETo) numerical model eases to use for supporting irrigation planning and its effective management is highly desired in Sahelian regions. This paper investigates the performance ability of the Gene-expression Programming (GEP) for modeling ETo using decadal climatic data from a Sahelian country; Burkina Faso. For the study; important data are collected from six synoptic meteorological stations located in different regions; Gaoua, P6, Boromo, Ouahigouya, Bogande and Dori. The climatic data combinations are used as inputs to develop the GEP models at regional-specific data basis for estimating ETo. GEP performances are evaluated with the root mean square error (RMSE), and coefficient of correlation (R) between estimated and targeted Penman-Monteith FAO56 set as the true reference values. Obviously; from the statistical viewpoint; GEP computing technique has showed a good ability for providing numerical models on a regional data basis. The performances of GEP based on temperatures data are quite good able to substitute empirical equations at regional level to some extent. It is found that the models with wind velocity yield high accuracies by causing radical improve of the performances with R2 (0.925-0.961) and RMSE (0.131-0.272 mmday~(-1)); while relative humidity may cause only (R2=0.801-0.933 and RMSE=0.370-0.578 mmday~(-1)). Statistically; GEP is an effectual modeling tool for computing successfully evapotranspiration in Sahel.
机译:准确,简单的参考蒸散发(ETo)数值模型易于用于支持灌溉计划,并且在萨赫勒地区非常需要有效的管理。本文研究了使用来自萨赫勒地区的十年气候数据对ETo进行建模的基因表达程序(GEP)的性能;布基纳法索。为了学习;从不同地区的六个天气气象站收集重要数据; Gaoua,P6,Boromo,Ouahigouya,Bogande和Dori。气候数据组合被用作输入,以区域特定数据为基础开发GEP模型,以估算ETo。用均方根误差(RMSE)以及估计的Penman-Monteith FAO56与目标56之间的相关系数(R)作为真实参考值来评估GEP绩效。明显;从统计角度来看; GEP计算技术已显示出在区域数据基础上提供数值模型的良好能力。基于温度数据的GEP性能相当好,能够在一定程度上替代区域层面的经验方程。结果表明,风速模型通过引起R2(0.925-0.961)和RMSE(0.131-0.272 mmday〜(-1))的性能的根本改善而产生较高的精度。而相对湿度可能仅引起(R2 = 0.801-0.933和RMSE = 0.370-0.578 mmday〜(-1))。统计上; GEP是有效计算萨赫勒地区蒸散量的有效建模工具。

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