Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Evaluation and Development of Pedotransfer Functions for Predicting Saturated Hydraulic Conductivity for Mexican Soils

Version 1 : Received: 24 August 2020 / Approved: 26 August 2020 / Online: 26 August 2020 (09:01:37 CEST)

How to cite: Trejo-Alonso, J.; Quevedo, A.; Fuentes, C.; Chávez, C. Evaluation and Development of Pedotransfer Functions for Predicting Saturated Hydraulic Conductivity for Mexican Soils. Preprints 2020, 2020080568 (doi: 10.20944/preprints202008.0568.v1). Trejo-Alonso, J.; Quevedo, A.; Fuentes, C.; Chávez, C. Evaluation and Development of Pedotransfer Functions for Predicting Saturated Hydraulic Conductivity for Mexican Soils. Preprints 2020, 2020080568 (doi: 10.20944/preprints202008.0568.v1).

Abstract

In the present work, we evaluate the prediction capability of six Pedotransfer functions (PTFs), reported in the literature, for the saturated hydraulic conductivity estimations (Ks). We used a database with 900 measured samples obtained from the Irrigation District 023, in San Juan del Rio, Queretaro, Mexico. Additionally, six new PTFs were construct for Ks from clay percentage, bulk density and saturation water content data. The results show, for the evaluated models, that one model present an overestimation for Ks>0.5 cm h-1 values, three models have a underestimation for Ks>1.0 cm h-1 and two models have a good correlation (R2>0.98) but are necessary more than three parameters. Nevertheless, the last two models requires from three to four parameters in order to get the optimization. By other hand, the models proposed in this work have a similar correlation with a less number of parameters: the fit is seen to be much better than using the existing ones, achieving a correlation of R2 = 0.9822 with only one variable and a R2 = 0.9901 when we use two.

Subject Areas

pedotransfer functions; inverse methods; gravity irrigation; model validation; experimental data

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