Rainfall and concentrated flow experiments were carried out on seven micro-catchments (MCs) that were designed to limit soil erosion and allow for water-harvesting. Prediction of infiltration rates within MCs is necessary to design effective hillslope-scale restoration projects. Continuous stage measurements and 3-D models of MC geometry were used to calculate infiltration rates from field experiments. Soil samples and Guelph permeameter (GP) measurements were collected to parameterize a predictive infiltration model in Hydrus 2D/3D. The model result of water velocity into the soil profile was averaged by depth intervals and multiplied by the corresponding MC surface area to calculate a volumetric flow rate. Four parameterizations of changes in conductivity with depth were evaluated within the model framework to determine which would best account for spatial heterogeneity. Use of the maximum field-measured conductivity provided the least biased results, with average error between simulated and measured values across all sites of less than 1%. Model results illustrate the limitations associated with particle-size distribution or GP measurements when used to predict infiltration rates in a numerical model. GP measurements with single ponded heights allowed convenient field measurement of conductivity that worked better than predictions from soil texture. The maximum of several GP samples was more representative of MC infiltration than the mean, so a higher percentile value from a distribution of MC measurements may help to account for complex infiltration processes that are not included in numerical models. This modeling approach will allow testing of process-based hypotheses about rangeland infiltration dynamics, and the development of optimal configurations of MCs at sites being considered for rangeland restoration.

在七个旨在限制土壤侵蚀并允许集水的微型集水区（MC）上进行了降雨和集中流量实验。要设计有效的山坡规模恢复项目，必须预测MC内的入渗率。MC几何结构的连续阶段测量和3-D模型用于计算野外实验的渗透率。收集土壤样品和Guelph渗透仪（GP）测量值，以对Hydrus 2D / 3D中的预测性入渗模型进行参数化。将水速进入土壤剖面的模型结果按深度间隔取平均值，然后乘以相应的MC表面积以计算体积流量。在模型框架内评估了电导率随深度变化的四个参数，以确定哪种参数最能说明空间异质性。使用最大的现场测量的电导率可提供最小的偏差结果，所有位置的模拟值和测量值之间的平均误差小于1％。模型结果说明了当用于预测数值模型中的渗透率时与粒度分布或GP测量相关的局限性。单个池高的GP测量允许方便的电导率现场测量，其效果优于根据土壤质地的预测。几个GP样品的最大值比平均值更能代表MC的浸润，因此，MC测量分布中较高的百分位值可能有助于说明数值模型中未包含的复杂渗透过程。这种建模方法将允许测试基于过程的有关牧场渗入动力学的假设，以及在考虑进行牧场恢复的地点开发MC的最佳配置。