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Using soil moisture constants and physical properties to predict saturated hydraulic conductivity

机译:利用土壤水分常数和物理性质预测饱和水力传导率

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Saturated hydraulic conductivity (Ks) is an important variable in hydrological cycle processes. Determination of Ks in soils is a difficult and time consuming process. The objective o f this study was to determine Ks in soils by pedotransfer (PTF) models derived using soil moisture constants and physical properties. Ks values were determined in 30 different soil samples using constant head permeability method. According to path analyses results, direct effects of some soil properties on Ks in soils were in the following order; permanent wilting point (PWP) bulk density (BD) clay (C) silt (Si) field capacity (FC). Soil physical properties generally had the highest indirect effects on Ks through PWP. Prediction of Ks by the second order PTF models was significant using only C, Si and DB (r=0.868**) and using only FC and PWP (r=0.796**) in the models. Using moisture constants with the other soil physical properties in the second orde r PTF model increased significance level of the relation between predicted and measured values of Ks (r=0.955**). Besides soil physical properties, having moisture constants in PTF models showed that saturated Ks values can be predicted more accurately in soils having similar physical boundary conditions such as texture, bulk density etc.
机译:饱和导水率(Ks)是水文循环过程中的重要变量。测定土壤中的Ks是一个困难且耗时的过程。这项研究的目的是通过使用土壤水分常数和物理特性得出的pedotransfer(PTF)模型确定土壤中的Ks。使用恒定水头渗透率法测定了30种不同土壤样品的Ks值。根据通径分析结果,某些土壤性质对土壤钾素的直接影响依次为:永久萎point(PWP)>堆密度(BD)>粘土(C)>淤泥(Si)>田间持水量(FC)。通过PWP,土壤物理性质通常对Ks的间接影响最大。在模型中仅使用C,Si和DB(r = 0.868 **),并且仅使用FC和PWP(r = 0.796 **),通过二阶PTF模型对Ks的预测很重要。在第二阶r PTF模型中使用湿度常数和其他土壤物理特性可以提高Ks预测值与实测值之间的关系的显着性水平(r = 0.955 **)。除土壤物理性质外,在PTF模型中具有湿度常数还表明,在具有相似物理边界条件(例如质地,堆积密度等)的土壤中,可以更准确地预测饱和Ks值。

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