Scale-Dependent Pedotransfer Functions Reliability for Estimating Saturated Hydraulic Conductivity

TL;DR

This study evaluates scale-dependent pedotransfer functions for estimating saturated hydraulic conductivity (Ksat) using a large US soil database, demonstrating improved accuracy over existing models.

Contribution

It introduces and validates scale-dependent pedotransfer functions for Ksat estimation, enhancing prediction accuracy by incorporating sample dimensions.

Findings

Scale-dependent functions outperform other models in accuracy.

Large dataset confirms robustness of the proposed functions.

Improved Ksat estimation benefits hydrological modeling.

Abstract

Saturated hydraulic conductivity Ksat is a fundamental characteristic in modeling flow and contaminant transport in soils and sediments. Therefore, many models have been developed to estimate Ksat from easily measureable parameters, such as textural properties, bulk density, etc. However, Ksat is not only affected by textural and structural characteristics, but also by scale e.g., internal diameter and height. Using the UNSODA database and the contrast pattern aided regression (CPXR) method, we recently developed scale-dependent pedotransfer functions to estimate Ksat from textural data, bulk density, and sample dimensions. The main objectives of this study were evaluating the proposed pedotransfer functions using a larger database, and comparing them with seven other models. For this purpose, we selected more than nineteen thousands soil samples from all around the United States. Results showed that the scale-dependent pedotransfer functions estimated Ksat more accurately than seven other models frequently used in the literature.