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首页> 外文期刊>Australian Journal of Crop Science >Assessment of empirical methods for estimation of reference evapotranspiration in the Brazilian Savannah
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Assessment of empirical methods for estimation of reference evapotranspiration in the Brazilian Savannah

机译：巴西大草原参考蒸散量估算经验方法的评估

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Evapotranspiration can be sufficiently estimated when meteorological data are available to implement robust models such as Penman-Monteith (PM). However, due to data scarcity, alternative approaches are necessary. In this context, this study aims to compare the reference evapotranspiration (ETo) obtained from the PM standard method with eight empirical equations to identify the simplest method that can be alternative to the reference method (Penman Monteith method) for ten places in state of Goiás (located in west-central Brazil, Brazilian Savanna). To estimate the ETo, air temperature and relative humidity air, wind speed, sunshine and solar radiation data, which were obtained from the data platform National Institute of Meteorology and the Meteorological and Hydrological System of the State of Goiás, were used. For comparison of empirical methods with PM standard method, we used the following statistical indicators: slope and intercept coefficients (β0 and β1) of regressions equations, the coefficient of determination (r2), Pearson's correlation (r), mean bias error (MBE), root mean square error (RMSE) concordance index refined (dr) and performance index (Pi). Our results indicated that the Turc method is the best option for the state of Goiás when meteorological data are not suffeciently available to use the standard PM method. On the other hand, the method of Romanenko did not present acceptable performance in nine of the ten studied localities. Therefore, its use is advised only in the municipality of the Itumbiara. Among evaluated methods the Hargreaves-Samani method is the best alternative, when there is only air temperature data.
机译：当气象数据可用于实施健壮模型（例如Penman-Monteith（PM））时，可以充分估计蒸散量。但是，由于数据稀缺，因此需要其他方法。在这种情况下，本研究旨在比较从PM标准方法获得的参考蒸散量（ETo）与八个经验方程式，以确定在Goiás州十个地方可以替代参考方法（Penman Monteith方法）的最简单方法（位于巴西中西部，巴西大草原）。为了估算ETo，使用了从国家气象研究所和戈亚斯州气象水文系统的数据平台获得的空气温度和相对湿度，风速，日照和太阳辐射数据。为了将经验方法与PM标准方法进行比较，我们使用了以下统计指标：回归方程的斜率和截距系数（β0和β1），确定系数（r2），皮尔逊相关（r），平均偏差误差（MBE） ，精炼的均方根误差（RMSE）一致性指数（dr）和性能指数（Pi）。我们的结果表明，当气象数据不足以使用标准PM方法时，Turc方法是戈亚斯州的最佳选择。另一方面，在十个被研究的地区中，有九个地区的罗曼年科方法表现不佳。因此，仅在Itumbiara市建议使用。在只有空气温度数据的情况下，Hargreaves-Samani方法是最好的替代方法。

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