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首页> 外文期刊>Indian Journal of Soil Conservation >Modelling of reference evapotranspiration using fuzzy logic rule based algorithm for sub-humid climate in mid-Himalayas.
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Modelling of reference evapotranspiration using fuzzy logic rule based algorithm for sub-humid climate in mid-Himalayas.

机译:使用基于模糊逻辑规则的算法对喜马拉雅中部半湿润地区的参考蒸散量进行建模。

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Evapotranspiration is one of the major components of the hydrologic cycle and its accurate estimation is of paramount importance for many studies such as hydrologic water balance, design and management of irrigation system, and water resources planning and management. The FAO PenmanMonteith method has now been accepted as standard method to estimate reference evapotranspiration (ETo), but it requires several weather parameters. This study is an attempt to predict ETo using Fuzzy Logic Rule Based Algorithm (FLRBA) with minimum weather data set for Nagini watershed, located in Tehri Garhwal district (Uttarakhand), India. The ETo predicted by fuzzy logic rule based algorithm was found to be comparable with the ETo estimated by FAO Penman-Monteith method. The developed model was validated by testing its performance using correlation coefficient (R2=0.92), Root Mean Square Error (RMSE=0.51) and Coefficient of Variation of the Residual Error (CVRE=0.19). It manifests the applicability of developed fuzzy model to predict ETo for future events with lesser input variables.
机译:蒸散量是水文循环的主要组成部分之一,其准确估算对于许多研究(如水文水平衡,灌溉系统的设计和管理以及水资源规划和管理)至关重要。现在已经接受了粮农组织的PenmanMonteith方法作为估计参考蒸散量(ETo)的标准方法,但是它需要几个天气参数。这项研究是尝试使用基于模糊逻辑规则的算法(FLRBA)预测ETo,该算法具有位于印度Tehri Garhwal区(Uttarakhand)的Nagini流域的最小气象数据集。发现基于模糊逻辑规则的算法预测的ETo与粮农组织Penman-Monteith方法估计的ETo具有可比性。通过使用相关系数(R 2 = 0.92),均方根误差(RMSE = 0.51)和残差变异系数(CVRE = 0.19)来测试模型的性能,从而验证了所开发模型的有效性。它表明了开发的模糊模型可预测具有较小输入变量的未来事件的ETo的适用性。

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