ABSTRACT:The objective of this study was to investigate the use of Green and Ampt infiltration equation parameters (determined by least squares fitting of field infiltration data or predicted from soil texture properties) to characterize infiltration on spatially varying rangeland sites. It was found that a least squares regression approach reduces the physically based parameters in the Green and Ampt to empirical coefficients since negative coefficients are obtained, particularly on plots with low infiltration rates. Green and Ampt parameters predicted from soil texture data describe infiltration rates less than 3 cm/hr. The applicability of these Green and Ampt parameters appears limited to sites with lower infiltration rates. Results indicate that soil texture predictive triangles, developed to describe infiltration on agricultural soils, need revision to adequately describe infiltration patterns on rangelands.
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机译：摘要：本研究旨在研究使用Green和Ampt入渗方程参数（由田间入渗数据的最小二乘拟合确定或根据土壤质地特性预测）来表征空间变化牧场的入渗。结果发现，最小二乘回归方法将Green和Ampt中基于物理的参数简化为经验系数，因为获得了负系数，特别是在渗透率低的地块上。根据土壤质地数据预测的绿色和 Ampt 参数描述了小于 3 厘米/小时的渗透速率。这些 Green 和 Ampt 参数的适用性似乎仅限于渗透率较低的地点。结果表明，为描述农业土壤的渗透而开发的土壤质地预测三角形需要修订，以充分描述牧场的渗透模式。
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