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Evaluation of Alternative Methods for Estimating Radiation Based Reference Evapotranspiration

机译:替代方法估算辐射的辐射蒸散量的评价

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Reference Evapotranspiration (ETfl) plays a key role in simulating hydrological effect of climate change, and a review of evapotranspiration estimation methods in hydrological models is of vital importance. FAO-56 PM model is considered as the standard method for estimation ETQ. As this, method requires large number of weather parameters which could not be easily available at meteorological stations. In addition to the use of complicated unit conversions and lengthy calculations, the reliable qualitydata, time consuming and difficulties in data collection present another serious limitation for this method. Keeping in view, the relevance of precise ET0 estimation, an attempt has been made to estimate and select an alternative method on the basis oftheir performance with widely acclaimed FAO - 56 PM model secondary data for the study on weather parameters for 34 years (1983-2016) was obtained from AICRP on Agrometerology, UAS, GKVK, Bengaluru. The results showed that among all the nine radiation based methods, FAO-24 Radiation method performed well with high accuracy having least values MAE, MAXE, SEE and RMSE. Hence, this method can be recommended for use as an alternative to calculate reference evapotranspiration for GKVK station, Bengaluru Urban District with proper calibration. Besides this, the weather parameters required for use in these methods are comparatively less than that of the standard FAO-56 PM model.
机译:参考蒸散(ETFL)在模拟气候变化的水文效果方面发挥关键作用,以及水文模型中蒸发估算方法的综述至关重要。 FAO-56 PM模型被认为是估算etq的标准方法。因此,方法需要大量的天气参数,气象站不容易获得。除了使用复杂的单元转换和冗长的计算外,数据收集中可靠的质量数据,耗时和困难呈现了这种方法的另一个严重限制。保持鉴于,精确的ET0估计的相关性,已经尝试估计和选择替代方法,并在粮农组织广泛赞誉的粮农组织 - 56 PM模型中学数据的基础上进行估算和选择替代方法,用于研究34岁的天气参数研究(1983- 2016年)是从Acromerogy,UAS,GKVK,Bengaluru的AICRP获得的。结果表明,在所有九个基于辐射的方法中,FAO-24辐射法均具有高精度,具有最小值Mae,Maxe,See和Rmse。因此,可以建议使用这种方法作为计算GKVK站的参考蒸散,孟加拉堡市区具有适当校准的替代品。除此之外,这些方法中使用所需的天气参数比标准FAO-56 PM模型相对较低。

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