Saturated soil hydraulic conductivity (K_sat) and the soil water characteristic curve have been predicted from soil texture, bulk density, and other soil physical properties. These previous functions do not account for soil clay mineralogy or soil solution composition. The objectives of this study were to: (1) analyze the performance of previously developed pedotransfer functions (PTFs) on saline and sodic soils, (2) predict hydraulic properties of saline and sodic soils with a range of clay mineralogy, and (3) develop PTFs that account for clay mineralogy and solution composition. Most PTFs do not perform well on soils with smectitic clay mineralogy and usually over-estimate K_sat and under-estimate soil water characteristic on smectite clay dominant soils. Accounting for soil cation exchange capacity (CEC) as an indicator of soil clay types and solution composition improved the prediction of K_sat which had a geometric root mean squared error of 3.28 cm day⁻¹ compared to 6.04 cm day⁻¹ for the best performing PTF from the literature. A PTF we developed to predict soil water characteristic curve was able to predict soil water characteristic curve with a root mean squared error of 0.032 g g⁻¹ compared to 0.082 g g⁻¹ for the best performing previously published PTF. The PTFs developed in this study improved prediction of soil hydraulic properties on salt affected soils by using soil CEC to account for soil clay behavior and responsiveness to the soil solution composition. The PTFs reported here can easily be used to predict the K_sat and the soil water characteristic curve of soils in response to changes in irrigation water quality.

根据土壤质地，堆积密度和其他土壤物理性质，可以预测饱和土壤的水力传导率（K _sat）和土壤水分特征曲线。这些先前的功能未考虑土壤黏土矿物学或土壤溶液成分。这项研究的目的是：（1）分析先前开发的pedotransfer函数（PTF）在盐和钠土上的性能；（2）预测具有一定范围粘土矿物学的盐和钠土的水力特性，以及（3）开发可解释粘土矿物学和溶液成分的PTF。大多数PTF在具有近黏土矿物学的土壤上表现不佳，并且通常高估了K _sat并低估了蒙脱石粘土优势土壤的土壤水分特征。占土壤的阳离子交换容量（CEC）作为土壤粘土类型和溶液组合物的指示改进的K的预测_坐在其具有的3.28厘米天的几何根均方误差^-1相比6.04厘米天^-1的表现最好的来自文献的PTF。我们开发的用于预测土壤水分特征曲线的PTF能够预测土壤水分特征曲线，其均方根误差为0.032 g g ^-1，而均方根误差为0.082 g g ^-1以获得以前发布的最佳性能的PTF。在这项研究中开发的PTF通过使用土壤CEC来解释土壤黏土行为和对土壤溶液成分的响应性，从而改善了对盐影响土壤的土壤水力特性的预测。此处报告的PTF可以很容易地用于预测K _sat和响应于灌溉水质变化的土壤水特征曲线。