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A new method to estimate soil water infiltration based on a modified Green-Ampt model

机译:基于改进的Green-Ampt模型的土壤水分入渗估算新方法

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Water infiltration is an important component of overland hydrology, closely related to the amount of water that penetrates into soil, overland flow, soil erosion, and chemical transport. The Green-Ampt infiltration equation is one of the most widely used infiltration equations in hydrological and erosion models. The piston assumption in the model simplify the soil moisture distribution and overestimated the values at the mean time. A new model for predicting the soil water content distribution along a horizontal soil column and a related algorithm for soil water infiltration rate estimation are presented. Two linear functions were used to replace the even distribution of soil water content in the vadose zone and the wetting front, as traditionally used in the Green-Ampt infiltration model. The new algorithm for soil water infiltration rate estimation was based on a new soil water content distribution model. Laboratory experiments were conducted with three soils (sandy loam, silt loam, and silty clay loam) to illustrate the infiltration estimations experimentally. The relative errors of the method calculated based on the water/mass balance principle were 2.05%, 4.75%, and 1.92% for sandy loam, silt loam, and silty clay loam soil, respectively. Changes in the relative errors over time were also analyzed. This new, highly precise method can be applied to infiltration and groundwater modeling studies, as well as irrigation and drainage management. (C) 2016 Elsevier B.V. All rights reserved.
机译:水的渗透是陆上水文学的重要组成部分,与渗透到土壤中的水量,陆上水流,土壤侵蚀和化学物质运输密切相关。 Green-Ampt渗透方程是水文和侵蚀模型中使用最广泛的渗透方程之一。模型中的活塞假设简化了土壤水分分布,并高估了平均时间的值。提出了一种预测土壤含水量沿水平土壤柱分布的新模型和相关的土壤水分入渗率估算算法。与传统的Green-Ampt渗透模型一样,使用两个线性函数来代替渗流带和湿润带中土壤水分的均匀分布。基于新的土壤含水量分布模型的土壤水分入渗率估算新算法。在三种土壤(沙质壤土,粉质壤土和粉质粘土质壤土)上进行了实验室实验,以实验方式说明入渗估算。对于沙壤土,粉质壤土和粉质粘土壤土,基于水/质平衡原理计算的方法的相对误差分别为2.05%,4.75%和1.92%。还分析了相对误差随时间的变化。这种高度精确的新方法可用于入渗和地下水建模研究以及灌溉和排水管理。 (C)2016 Elsevier B.V.保留所有权利。

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