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Validation of three infiltration models on purple soil under simulated rainfall

机译:模拟降雨下三种紫色土壤入渗模型的验证

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摘要

So as to find models suitable for the prediction of water infiltration in purple soil, infiltration rates simulated by three popular empirical infiltration models, Horton model, Kostiakov model, and the modified Kostiakov model, were compared by using those observed results on slope in purple soil under rainfall simulation. 28 sets of infiltration data were divided into two parts for parameter estimation and validation independently. The performance of the three infiltration models was evaluated with the Nash and Sutcliffe efficiency criterion. The results show that the percent for Nash and Sutcliffe efficiency greater than 0.7 is about 69. 7 % for the Horton model, and 48.48%, and 54.55% for the Kostiakov model and the modified Kostiakov model, respectively. Horton model is better than Kostiakov model and the modified Kostiakov model in most rain events in the field. However, Kostiakov model is still suitable for reasonable prediction of the infiltration in purple soil sloping farmland because fewer parameters are needed. Furthermore, rainfall intensity has significant effects on the parameter values used in the simulation models. The simulation results can be improved by choosing suitable parameters according to the rainfall intensity.
机译:为了找到适合预测紫色土中水分入渗的模型,利用在紫色土中边坡的观测结果,比较了三种流行的经验性入渗模型Horton模型,Kostiakov模型和改进的Kostiakov模型所模拟的入渗率。在降雨模拟下。将28组入渗数据分为两部分,分别进行参数估计和验证。使用纳什和萨特克利夫效率标准评估了三种渗透模型的性能。结果表明,Nash和Sutcliffe效率大于0.7的百分比对于Horton模型分别为69. 7%,对于Kostiakov模型和改进的Kostiakov模型分别为48.48%和54.55%。在野外大多数降雨事件中,霍顿模型优于科斯蒂亚科夫模型和改进的科斯蒂亚科夫模型。但是,Kostiakov模型仍然适用于合理预测紫色土坡耕地的入渗量,因为需要的参数较少。此外,降雨强度对模拟模型中使用的参数值有很大影响。通过根据降雨强度选择合适的参数可以改善模拟结果。

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