Readily available field data were used to estimate field-saturated hydraulic conductivity (K_fs). K_fs determinaion is laborious, however crucial for various applications, e.g. evaluation of soil functions or groundwater protection. Alluvial soils are close to the groundwater body and thus of special concern with respect to allochthonous contamination. A pedotransfer function (PTF) was developed for 11 alluvial soils. Response variable were 43 K_fs-values determined using a borehole permeameter. Qualitative and semi-quantitative data obtained in the field at 11 near-by soil pits were classified. These classifications comprise texture, humus content, stone content and soil structure as well as hydromorphic indicators such as iron molds, anoxic molds, concretions and soil color. 9 non-multicollinear input variables were selected via factor analysis. In 100 randomized regression realizations the class values were implemented applying 67% of the total data set for training to describe the K_fs-value. While the individual realizations showed considerable deviation to the measured K_fs-values, the averaged linear regression with mean values of intercepts and coefficients provided an acceptable accurracy. The quality criteria of the developed PTF consisted of the root mean square error (RMSE = 0,37), the Nash-Sutcliffe efficiency (NSE = 0,59), and the measure of determination (R² = 0,59). Despite class thresholds of basic soil properties originally are not linked to soil hydraulic characteristics in the first instance, class values of soil survey can be utilized to estimate the field-saturated hydraulic conductivity in soils with homogeneous horizons.

使用现成的现场数据可以估算出饱和的水力传导率（K _fs）。K _fs的确定很费力，但是对于各种应用（例如评估土壤功能或保护地下水）至关重要。冲积土靠近地下水体，因此特别关注异源污染。为11种冲积土壤开发了一种pedotransfer函数（PTF）。响应变量为43 K _fs-使用钻孔渗透率计确定的值。对在11个附近土坑现场获得的定性和半定量数据进行了分类。这些分类包括质地，腐殖质含量，石材含量和土壤结构，以及诸如铁霉，缺氧霉菌，结石和土壤颜色的水溶指示剂。通过因子分析选择了9个非多重共线性输入变量。在100个随机回归实现中，使用总数据集的67％进行训练的类值用于描述K _fs值。尽管各个实现都显示出与测得的K _fs有相当大的偏差-值，具有截距平均值和系数的平均线性回归提供了可接受的准确性。开发的PTF的质量标准包括均方根误差（RMSE = 0.37），纳什-苏克利夫效率（NSE = 0.59）和测定值（R ²  = 0.59）。尽管最初没有将基本土壤属性的分类阈值与土壤水力特性联系在一起，但是土壤调查的分类值可以用于估算具有均质层位的土壤中的田间饱和水力传导率。