Furrow infiltration varies with different variables and is a complex process for modeling infiltration over the field. This research was conducted to develop empirical relationships between field-wide furrow infiltration and independent variables such as the opportunity time, initial soil water content, flow depth, flow section area, wetted perimeter and wet bulk density. Furrow infiltration was measured by blocked furrow infiltrometers at 48 infiltration sites over a 70 x 130 m field plot. Simple and partial correlations between cumulative infiltration and independent variables were evaluated. The effects of wet bulk density and flow depth on cumulative infiltration were insignificant when the effects of all other variables were removed. However, the effects of other variables such as the opportunity time, wetted perimeter, flow section area and initial soil water content on cumulative infiltration were significant. The results showed that 63.52 % of the variation in cumulative infiltration could be explained by the opportunity time when the other variables were held constant. To describe the field-wide cumulative infiltration as a function of independent variables a model was developed by using least squares regression.
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机译：犁沟入渗随变量的变化而变化，并且是模拟田间入渗的复杂过程。进行这项研究是为了研究田间犁沟入渗与机会时间，初始土壤含水量，流量深度，流量断面面积，湿润周长和湿松密度之间的自变量之间的经验关系。在70 x 130 m的田间地块上，通过封闭的犁沟式渗透计在48个渗入点处测量犁沟的入渗量。评估了累积渗透与自变量之间的简单和部分相关性。当去除所有其他变量的影响时，湿堆积密度和流量深度对累积入渗的影响微不足道。然而，机会时间，湿润周长，流量截面积和初始土壤含水量等其他变量对累积入渗的影响是显着的。结果表明，当其他变量保持不变时，累积渗透的变化的63.52％可以用机会时间来解释。为了描述作为独立变量的函数的全田累积入渗，通过使用最小二乘回归开发了一个模型。
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