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首页> 外文期刊>African Journal of Agricultural Research >Performance of SMA-C model on crop evapotranspiration estimation
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Performance of SMA-C model on crop evapotranspiration estimation

机译:SMA-C模型在作物蒸散量估算中的性能

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Many simulation models found in the literature integrates data on climate and crop characteristics to provide great information on the season for different crops. The objectives of this study were: a) to measure soil water balance components of a wheat crop to determine its evapotranspiration (ETc) and crop coefficients (Kc) during the growing season; b) to use experimental data to evaluate the performance of SMA-C in estimating evapotranspiration for a wheat in Paraná State, Brazil; and c) to make adjustments to improve mod`el estimates. Two weighing lysimeters cultivated with a wheat crop were used to measure soil water storage and ETc during the growing season of a wheat crop. Reference evapotranspiration (ETo) was determined by FAO 56 method using data from a local weather station. Wheat crop coefficients were calculated by the ratio ETc/ETo, were 0.7, 1.5 and 0.6, for initial, mid and late season, respectively. The comparison of SMA-C simulations with the observed data showed inaccuracies in estimation of soil water storage due to model underestimation for ETc. Estimates were improved by adjusting the model to consider Kc measured in the field.
机译:文献中发现的许多模拟模型综合了气候和作物特征的数据,以提供有关不同作物季节的大量信息。这项研究的目的是:a)测量小麦作物​​的土壤水分平衡成分,以确定其在生长期的蒸散量(ETc)和作物系数(Kc); b)利用实验数据评估SMA-C在估计巴西巴拉那州小麦的蒸散量方面的性能; c)进行调整以提高模型估计。使用两个用小麦作物栽培的称重测力计来测量小麦作物​​生长季节的土壤水储量和ETc。参考蒸散量(ETo)是根据粮农组织56方法使用当地气象站的数据确定的。小麦作物系数通过ETc / ETo之比计算得出,在初,中,后期三个季节分别为0.7、1.5和0.6。 SMA-C模拟与观测数据的比较表明,由于ETc模型低估了土壤储水量的估算不准确。通过调整模型以考虑在现场测量的Kc可以改善估计值。

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