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Saturated Hydraulic Conductivity Pedotransfer Models

Citation

Araya, Samuel N.; Ghezzehei, Teamrat A. (2019), Saturated Hydraulic Conductivity Pedotransfer Models, Dryad, Dataset, https://doi.org/10.6071/M3T95H

Abstract

This repository contains machine learning-based pedotransfer models that predict saturated hydraulic conductivity (Ks). An app with a graphical user interface to run these models and other relevant materials including R codes used to build and test the models are available at the author's GitHub repository: https://github.com/saraya209/soil_ksat. 

Detailed description of this work is available in our paper published in the Journal of Water Resources Research: Araya and Ghezzehei (2019).

Funding

National Science Foundation, Award: ACI‐1429783