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Comparison of FAO Aquacrop and SWAP Agro-Hydrological Models to Simulate Water and Salt Transport during Growing Season of Winter Wheat

机译:粮农组织Aquacrop和SWAP农业水文模型模拟冬小麦生长季节水盐运移的比较

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In this study, the performanceof SWAP and FAO Aquacrop agro-hydrological models to predict water flow and salt transport in soil profile was evaluated under water and salt stresses during growing season of winter wheat. Field experiments were conducted with three levels of saline irrigation water including: S1, S2and S3corresponding to 1.4, 4.5 and 9.6 dSm-1and four levels of irrigation depth including: I1, I2, I3and I4corresponding to 50, 75, 100 and 125 percent of crop water requirement with three replications for 2005-2006 period in Birjand region in Iran. The SWAPand Aquacrop models predicted the soil water content with an appropriate precision. The average normalized root mean square error (NRMSE) of calibration in soil water content prediction by SWAPand Aquacrop models, were calculated 4.81 and 18.91 %, respectively, and for validation, were calculated 7.34 and 19.6 %, respectively. The average normalized root mean square error (NRMSE) of calibration in ECeprediction by SWAPand Aquacrop models, were calculated 8.87 and 37.34 %, respectively, and for validation, were calculated 13.6 and 36.93 %, respectively. Results indicated that the Aquacrop model predicted ECewith more error compared with SWAP model
机译:在这项研究中,在冬小麦生长季节的水分和盐分胁迫下,评估了SWAP和FAO Aquacrop农业水文模型预测土壤剖面中水流和盐分运输的性能。用三个水平的盐水灌溉水进行了田间试验,包括:S1,S2和S3分别对应于1.4、4.5和9.6 dSm-1,四个灌溉深度水平包括:I1,I2,I3和I4分别对应于作物的50%,75%,100%和125%伊朗Birjand地区2005年至2006年期间的三个重复样本的水资源需求量。 SWAPand Aquacrop模型以适当的精度预测了土壤含水量。通过SWAP和Aquacrop模型预测的土壤含水量中的校准平均值的标准化均方根误差(NRMSE)分别计算为4.81%和18.91%,为进行验证,分别计算为7.34%和19.6%。通过SWAP和Aquacrop模型在EC预测中校准的平均标准化均方根误差(NRMSE)分别计算为8.87和37.34%,为进行验证,分别计算为13.6和36.93%。结果表明,与SWAP模型相比,Aquacrop模型预测的ECe误差更大。

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