In this study, 15 models in the combination, radiation, and temperature-based groups were evaluated for three consecutive years (2017–2019) with lysimetric measurements in a semi-arid region of Iran. To investigate the effects of reference plant species and soil textures on the amounts of reference evapotranspiration (ET₀), two grass species including Festuca arundianacea Schreb. and Lolium perenne in the three soil textures sandy loam, clay, and silt loam were planted in the weighing lysimeters. ET₀ was affected by soil texture and grass species (p < .01). The highest amount of ET₀ occurred in the clay soil and Festuca grass. Comparison of the models' results with Lolium grass lysimetric data showed that the minimum and maximum root mean square error (RMSE) values 1.27 and 3.5 mm d⁻¹ were obtained for the Kimberly-Penman-1996 (KP) and DeBruin-Keijman (DK) models, respectively. Regarding the Festuca grass lysimetric data, the minimum RMSE (1.36 mm d⁻¹) was obtained for the KP and the maximum RMSE (3.6 mm d⁻¹) for the DK model. Group comparison of models showed that the combination models performed better than the other groups' models. The estimated ET₀ values by the models had a better match with the measured data of Lolium grass than those of the Festuca grass.

中文翻译：

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基于称重蒸散仪测量在三种土壤质地中生长的两种不同草种的 15 种主要参考蒸散模型的比较分析

在这项研究中，连续三年（2017-2019 年）评估了组合、辐射和基于温度的组中的 15 个模型，并在伊朗半干旱地区进行了渗析测量。为了研究参考植物种类和土壤质地对参考蒸散量 (ET _{0 ) 的影响，包括}Festuca arundianacea Schreb在内的两种草种。在称重蒸渗仪中种植三种土壤质地的沙壤土、粘土和粉质壤土中的黑麦草和黑麦草。ET ₀受土壤质地和草种的影响( p  < .01)。ET最高金额₀发生在黏土和羊茅草中。模型结果与黑麦草溶渗数据的比较表明， Kimberly-Penman-1996 (KP) 和 DeBruin-Keijman (DK)的最小和最大均方根误差 (RMSE) 值分别为 1.27 和 3.5 mm d ^-1 ) 模型，分别。关于羊茅草溶渗数据，KP 获得了最小 RMSE (1.36 mm d ^{-1 )，DK 模型获得了最大 RMSE (3.6 mm d -1} )。模型的组比较表明，组合模型的表现优于其他组的模型。模型估计的ET ₀值与黑麦草实测数据的匹配度要好于羊茅草。