# Scale-Dependent Pedotransfer Functions Reliability for Estimating Saturated Hydraulic Conductivity

arXiv: https://arxiv.org/abs/1610.06958 · HTML: https://mlsanity.com/paper/1610.06958/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Oct 2016.

## Built on by (most cited first, 1 of 1)

- [Estimating oil and gas recovery factors via machine learning: Database-dependent accuracy and reliability](https://mlsanity.com/paper/2210.12491/) (2022)

## Abstract (arXiv)

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.