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The SWAP model was a useful tool to analyze water partitioning in the freeze thaw zone.
The SWAP model was calibrated with soil water contents of two treatments.
Data collected during the 2002 2003 irrigation season were used to calibrate the soil water atmosphere plant (SWAP) model.
For the detailed water partitioning of the water balance and root water extraction, the soil water-atmosphere-plant (soil water-atmosphere-plantcrop modulesoil water-atmosphere-plant
This study indicates that the SWAP model can be used as a powerful tool to simulate the field water cycle and evaluate irrigation practices.
As an application of the SWAP model, the optimal irrigation management practices for the hydrologic years of 75%, 50%and25%5%, respectively, in the Beijing area were obtained.
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Swap predictions (reverse) were also carried out between validation dataset and training dataset based on swap models submitted by DATs.
Besides, mean equal test for both endpoints were proposed for normal models and swap models (Table 1).
This table shows prime analyses at levels of probes and genes for normal models and swap models.
Correspondingly, the swap models are signatures built on validation dataset and be validated on the training dataset.
The classification algorithm level similarity analysis was based on analysis of three-dimensional graphs of model performances for original models and swap models.
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