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首页> 外文期刊>Zeitschrift fur Bewasserungswirtschaft >Assessing the performance of temperature based eva- potranspiration models under the climatic conditions of Umaim (Meghalaya) India
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Assessing the performance of temperature based eva- potranspiration models under the climatic conditions of Umaim (Meghalaya) India

机译：在印度Umaim（Meghalaya）的气候条件下评估基于温度的蒸散模型的性能

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摘要

Evaluation of three temperature based empirical models for computing reference evapotranspiration (ETo): the Hargreaves (HARG), Behnke and Maxey (B-M) and the Jensen-Haise (J-N) models were tested for Umiam, Meghalaya considering the FAO-56 Penman-Monteith (FAO-56 PM) as standard model. The daily ETo calculated by the temperature-based models approach were compared regression analysis with those of the FAO-56 PM model. The results showed that daily ETo based on HARG estimation (RMSE=0.047, r =0.928)was found to be best followed by J-N (RMSE=0.054, r =0.911) and B-M (RMSE=0.050, r =0.680). Calibration of Hargreaves (HARG) equation is done by the adjustment of Hargeaves exponent (HE) a value of 0.450 instead of the original 0.5 to improve accuracy ofestimation. Estimates by Adjusted Hargreaves Model (AHARG) were found to be in close agreement with the FAO-56 PM. The Standard Error of Estimate (SEE) was reduced from 0.047 to 0.014. The average overestimation was about 1.75%. Results strongly supportthe use of the AHARG for Umiam (Meghalaya).
机译：考虑到粮农组织-56 Penman-Monteith的Umiam，Meghalaya的三个基于温度的经验模型的计算评估，以计算参考蒸散量（ETo）：Hargreaves（HARG），Behnke和Maxey（BM）和Jensen-Haise（JN）模型。 （FAO-56 PM）作为标准模型。将通过基于温度的模型方法计算的每日ETo与回归分析与FAO-56 PM模型的回归分析进行了比较。结果表明，基于HARG估计值（RMSE = 0.047，r = 0.928）的每日ETo最佳，其次是J-N（RMSE = 0.054，r = 0.911）和B-M（RMSE = 0.050，r = 0.680）。 Hargreaves（HARG）方程的校准是通过将Hargeaves指数（HE）的值调整为0.450而不是原来的0.5来完成的，以提高估计的准确性。经调整的哈格里夫斯模型（AHARG）得出的估算值与FAO-56 PM高度吻合。估计的标准误差（SEE）从0.047减少到0.014。平均高估约1.75％。结果强烈支持将AHARG用于Umiam（梅加拉亚邦）。

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