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Evapotranspiration model selection for estimation of actual evaporation from bare soil, as required in annual potential groundwater recharge studies of a semi-arid foothill region

机译:根据半干旱山麓地区的年度潜在地下水补给研究的要求,选择蒸散模型来估算裸露土壤的实际蒸发量

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摘要

Improved evapotranspiration estimation is instrumental in annual potential recharge (Re) evaluations of semi-arid regions, in the context of the water balance approach. Complementary relationship areal evapotranspiration (CRAE) and advection-aridity (AA) and a general combination equation proposed by Granger and Gray (GG) were evaluated for the estimation of actual evaporation (E-a) from bare soil under occurrence of Re. Model capability was evaluated by utilizing data from lysimeter measurements during the hydrological years [(2011-2012) and (2012-2013)]. Measured parameters included soil moisture (SM), rainfall and related meteorological data and Re (lysimeter output). All models with original parameters performed poorly during 2011-2012 and 2012-2013, underestimating annual Re values. The 2011-2012 data were used for model calibration, considering annual E-a [criterion (I)] and cumulative E-a during the occurrence period of Re [criterion(II)]. The calibrated CRAE model [criterion (II)] produced the best simulation for E-a (NRMSE<30%). The 2012-2013 data were used to validate the models, and the calibrated CRAE model produced acceptable results (NRMSE<10%) in SM simulation (both criteria). But calibrated CRAE under criterion (II) provided the best estimation of annual Re (Delta Q<6%). According to the results, CR models can produce acceptable estimation of annual Re, if initially calibrated utilizing criterion (II).
机译:在水平衡法的背景下,改进的蒸散估算有助于半干旱地区的年度潜在补给(Re)评估。评价了面积蒸散量(CRAE)和对流干度(AA)的互补关系,以及由格兰杰和格雷提出的一般组合方程(GG),以估算在稀土元素发生时裸露土壤的实际蒸发量(E-a)。利用水文年[(2011-2012)和(2012-2013)]的溶渗仪测量数据评估模型能力。测得的参数包括土壤湿度(SM),降雨和相关的气象数据以及Re(溶渗仪的输出)。所有具有原始参数的模型在2011-2012年和2012-2013年期间均表现不佳,低估了年Re值。考虑到年度E-a [标准(I)]和Re [标准(II)]发生期间的累积E-a,将2011-2012年的数据用于模型校准。校准后的CRAE模型[标准(II)]对E-a(NRMSE <30%)进行了最佳模拟。 2012-2013年的数据用于验证模型,并且经过校准的CRAE模型在SM模拟(两个标准)中均产生了可接受的结果(NRMSE <10%)。但是根据标准(II)校准的CRAE提供了最佳的年Re估算值(Delta Q <6%)。根据结果​​,如果最初使用标准(II)进行校准,则CR模型可以产生可接受的年Re估计。

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