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首页> 外文期刊>Journal of hydrologic engineering >Infiltration Simulation with Improved Green-Ampt Model Coupled with the Wet Zone Partition Function
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Infiltration Simulation with Improved Green-Ampt Model Coupled with the Wet Zone Partition Function

机译:改进的Green-Ampt模型结合湿区分区函数进行入渗模拟

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AbstractThe soil water content usually appears to be distributed in distinct layers during the process of homogeneous soil infiltration. However, existing infiltration models rarely consider the partitioning characteristics of the wet zone. The wet zone is typically assumed to be divided into a saturated zone and transient unsaturated zone during infiltration. Here, variations in the depths of the saturated zone and transient unsaturated zone during the infiltration process were studied using commercially available software. The wet zone partition function and its fitting parameters are presented. This function can characterize variations in the ratio of the saturated zone depth to the wetting front depth over time. The fitting parameters were predicted by a back-propagation (BP) neural network. The improved Green-Ampt model was established by introducing the established wet zone partition function. The infiltration results simulated by the improved Green-Ampt model, the software, and the traditional Green-Ampt model were compared with the measured values. The consistency between the measured and calculated values of the three models decreased from the improved Green-Ampt model to the software model to the traditional Green-Ampt model. The wetting front depth and the infiltration rate calculated by the traditional Green-Ampt model were larger than their measured values, which means that the effect of the transient unsaturated zone during the process of infiltration must be considered. The improved Green-Ampt model can provide analytical solutions and accurately simulate the infiltration process, which is beneficial for engineering calculations.
机译:摘要在均匀土壤入渗过程中,土壤含水量通常表现为不同的层次。但是,现有的渗透模型很少考虑湿区的分区特征。通常假定在渗透过程中将湿区分为饱和区和瞬态不饱和区。在此,使用可商购的软件研究了渗透过程中饱和区和瞬态不饱和区的深度变化。介绍了湿区分配函数及其拟合参数。该功能可以表征饱和区深度与润湿前沿深度之比随时间的变化。通过反向传播(BP)神经网络预测拟合参数。通过引入已建立的湿区分配函数,建立了改进的Green-Ampt模型。将改进的Green-Ampt模型,软件和传统的Green-Ampt模型模拟的入渗结果与测量值进行了比较。从改进的Green-Ampt模型到软件模型,再到传统的Green-Ampt模型,这三个模型的测量值和计算值之间的一致性降低了。传统Green-Ampt模型计算的湿润锋深度和入渗率均大于其实测值,这意味着在入渗过程中必须考虑瞬态非饱和带的影响。改进后的Green-Ampt模型可以提供解析解并准确模拟入渗过程,这对工程计算很有帮助。

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