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首页> 外文期刊>Agricultural Water Management >Simulating maize yields when irrigating with saline water, using the AquaCrop, SALTMED, and SWAP models
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Simulating maize yields when irrigating with saline water, using the AquaCrop, SALTMED, and SWAP models

机译：使用AquaCrop，SALTMED和SWAP模型在用盐水灌溉时模拟玉米产量

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摘要

Using simulation models is a strategy in agricultural water use management and an effective way in predicting effect of irrigation management and water quality on crop yield provided that the accuracy of the models is proved. In this study, three different models, i.e. AquaCrop, SALTMED and SWAP, were evaluated under application of the frequency of saline water with non-saline water in order to estimate forage maize yield. For this purpose, field experiments carried out for nine treatments (under different condition of using non-saline and saline water) in Karaj region, Iran. All three models were calibrated and validated based on the experimental data. The coefficient of determination (R-2) between observed and simulated data of maize yield were obtained 0.733, 0.846 and 0.594 for the AquaCrop, SALTMED and SWAP models, respectively. Absolute relative error values varied between 2.9 and 30.8% for AquaCrop, 0.9 and 24.7% for SALTMED, and 0.3 and 19.3% for SWAP model. The SALTMED and SWAP models had better performance than the AquaCrop model in estimating maize yield under salinity stress. (C) 2016 Elsevier B.V. All rights reserved.
机译：使用模拟模型是农业用水管理中的一项策略，也是预测灌溉管理和水质对农作物产量的影响的有效方法，只要证明了模型的准确性即可。在这项研究中，在应用盐水和非盐水的频率下，评估了三种不同的模型，即AquaCrop，SALTMED和SWAP，以估算饲用玉米的产量。为此，在伊朗卡拉伊地区对9种处理方法（在使用非盐水和盐水的不同条件下）进行了现场试验。所有三个模型均根据实验数据进行了校准和验证。对于AquaCrop，SALTMED和SWAP模型，在观察到的和模拟的玉米产量数据之间的确定系数（R-2）分别为0.733、0.846和0.594。对于AquaCrop，绝对相对误差值在2.9至30.8％之间，对于SALTMED为0.9至24.7％，对于SWAP模型为0.3至19.3％。在盐分胁迫下估算玉米单产时，SALTMED和SWAP模型的性能优于AquaCrop模型。 （C）2016 Elsevier B.V.保留所有权利。

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