Saturated Hydraulic Conductivity Pedotransfer Models

Araya, Samuel N., University of California, Merced, https://orcid.org/0000-0001-7850-5402

Ghezzehei, Teamrat A., University of California, Merced

saraya@ucmerced.edu, taghezzehei@ucmerced.edu

Published Nov 20, 2019 on Dryad. https://doi.org/10.6071/M3T95H

Cite this dataset

Araya, Samuel N.; Ghezzehei, Teamrat A. (2019). Saturated Hydraulic Conductivity Pedotransfer Models [Dataset]. Dryad. 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