Accurate calculation of evapotranspiration (ET) for all crops plays an important role. This study was conducted to determine the most accurate reference evapotranspiration (ET_r) estimation model for arid climatic conditions using the decision support system (DSS) program for alfalfa plants in south-east Anatolia, Turkey, in 2019 and 2020. The evapotranspiration of 12 mathematical models (ET_r-m) and the evapotranspiration of a lysimeter (ET_r-l) were used to estimate ET_r. In 2 experimental years, 1133 and 1270 mm of irrigation water were applied to alfalfa plants, respectively. The actual total ET was calculated as 1288 and 1294 mm in 2019 and 2020, respectively. The root mean square error (RMSE), mean absolute error (MAE), ET_r-m/ET_r-l, and index of agreement (d) were calculated separately for each mathematical model. The RMSE, MAE, ET_r-m/ET_r-l and d values for the mathematical models had a range of 1.25–3.57 mm day⁻¹, 0.91–1.98 mm day⁻¹, 0.64–1.04 and 0.56–0.94, respectively. According to the results of the regression analysis with the RMSE, MAE, ET_r/ET_r-m and d values obtained from the models, the Businger–Van Bavel model was the most accurate prediction model. The others were the FAO PPP-17 Penman and the 1982 Kimberly Penman models, respectively.

中文翻译：

---

在干旱气候条件下使用蒸散仪测量的一些蒸散模型的比较

准确计算所有作物的蒸散量 (ET) 起着重要作用。本研究旨在使用决策支持系统 (DSS) 程序确定 2019 年和 2020 年土耳其东南部安纳托利亚苜蓿植物的最准确参考蒸散量 (ETr ₎估算模型。12数学模型 (ET _r-m ) 和蒸散蒸腾量 (ET _r-l ) 用于估计 ET _r。在 2 个试验年中，分别向紫花苜蓿植物施用了 1133 和 1270 毫米的灌溉水。2019 年和 2020 年实际总 ET 分别计算为 1288 和 1294 毫米。均方根误差 (RMSE)、平均绝对误差 (MAE)、ET_rm /ET _r-l和一致性指数 ( d ) 分别为每个数学模型计算。数学模型的 RMSE、MAE、ET _r-m /ET _r-l和d值的范围分别为 1.25-3.57 mm day ^-1、0.91-1.98 mm day ^-1、0.64-1.04 和 0.56-0.94。根据模型得到的 RMSE、MAE、ET _r /ET _r-m和d值的回归分析结果，Businger-Van Bavel 模型是最准确的预测模型。其他分别是 FAO PPP-17 Penman 和 1982 Kimberly Penman 模型。