Evaluation and Development of Pedotransfer Functions for Predicting Saturated Hydraulic Conductivity for Mexican Soils
In the present work, we evaluate the prediction capability of six pedotransfer functions (PTFs), reported in the literature, for the saturated hydraulic conductivity estimations (K<sub>S</sub>). We used a database with 900 measured samples obtained from the Irrigation District 023, in Sa...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-10-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/10/10/1516 |
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| author | Josué Trejo-Alonso Antonio Quevedo Carlos Fuentes Carlos Chávez |
| author_facet | Josué Trejo-Alonso Antonio Quevedo Carlos Fuentes Carlos Chávez |
| author_sort | Josué Trejo-Alonso |
| collection | DOAJ |
| description | In the present work, we evaluate the prediction capability of six pedotransfer functions (PTFs), reported in the literature, for the saturated hydraulic conductivity estimations (K<sub>S</sub>). 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 constructed for K<sub>S</sub> from clay percentage, bulk density, and saturation water content data. The results show, for the evaluated models, that one model presents an overestimation for K<sub>S</sub> > 0.5 cm h<sup>−1</sup> values, three models have an underestimation for K<sub>S</sub> > 1.0 cm h<sup>−1</sup>, and two models have a good correlation (<i>R</i><sup>2</sup> > 0.98) but more than three parameters are necessary. Nevertheless, the last two models require 3–4 parameters in order to obtain optimization. On the other hand, the models proposed in this work have a similar correlation with fewer parameters. The fit is seen to be much better than using the existing ones, achieving a correlation of <i>R</i><sup>2</sup> = 0.9822 with only one variable and <i>R</i><sup>2</sup> = 0.9901 when we use two. |
| first_indexed | 2024-03-10T15:49:07Z |
| format | Article |
| id | doaj.art-b85fdda687624151bf926804e2fb3204 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T15:49:07Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-b85fdda687624151bf926804e2fb32042023-11-20T16:11:38ZengMDPI AGAgronomy2073-43952020-10-011010151610.3390/agronomy10101516Evaluation and Development of Pedotransfer Functions for Predicting Saturated Hydraulic Conductivity for Mexican SoilsJosué Trejo-Alonso0Antonio Quevedo1Carlos Fuentes2Carlos Chávez3Water Research Center, Department of Irrigation and Drainage Engineering, Autonomous University of Queretaro, Cerro de las Campanas SN, Col. Las Campanas 76010, Queretaro, MexicoMexican Institute of Water Technology, Paseo Cuauhnáhuac Núm. 8532, Jiutepec, Morelos 62550, MexicoMexican Institute of Water Technology, Paseo Cuauhnáhuac Núm. 8532, Jiutepec, Morelos 62550, MexicoWater Research Center, Department of Irrigation and Drainage Engineering, Autonomous University of Queretaro, Cerro de las Campanas SN, Col. Las Campanas 76010, Queretaro, MexicoIn the present work, we evaluate the prediction capability of six pedotransfer functions (PTFs), reported in the literature, for the saturated hydraulic conductivity estimations (K<sub>S</sub>). 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 constructed for K<sub>S</sub> from clay percentage, bulk density, and saturation water content data. The results show, for the evaluated models, that one model presents an overestimation for K<sub>S</sub> > 0.5 cm h<sup>−1</sup> values, three models have an underestimation for K<sub>S</sub> > 1.0 cm h<sup>−1</sup>, and two models have a good correlation (<i>R</i><sup>2</sup> > 0.98) but more than three parameters are necessary. Nevertheless, the last two models require 3–4 parameters in order to obtain optimization. On the other hand, the models proposed in this work have a similar correlation with fewer parameters. The fit is seen to be much better than using the existing ones, achieving a correlation of <i>R</i><sup>2</sup> = 0.9822 with only one variable and <i>R</i><sup>2</sup> = 0.9901 when we use two.https://www.mdpi.com/2073-4395/10/10/1516pedotransfer functionsinverse methodsgravity irrigationmodel validationexperimental data |
| spellingShingle | Josué Trejo-Alonso Antonio Quevedo Carlos Fuentes Carlos Chávez Evaluation and Development of Pedotransfer Functions for Predicting Saturated Hydraulic Conductivity for Mexican Soils Agronomy pedotransfer functions inverse methods gravity irrigation model validation experimental data |
| title | Evaluation and Development of Pedotransfer Functions for Predicting Saturated Hydraulic Conductivity for Mexican Soils |
| title_full | Evaluation and Development of Pedotransfer Functions for Predicting Saturated Hydraulic Conductivity for Mexican Soils |
| title_fullStr | Evaluation and Development of Pedotransfer Functions for Predicting Saturated Hydraulic Conductivity for Mexican Soils |
| title_full_unstemmed | Evaluation and Development of Pedotransfer Functions for Predicting Saturated Hydraulic Conductivity for Mexican Soils |
| title_short | Evaluation and Development of Pedotransfer Functions for Predicting Saturated Hydraulic Conductivity for Mexican Soils |
| title_sort | evaluation and development of pedotransfer functions for predicting saturated hydraulic conductivity for mexican soils |
| topic | pedotransfer functions inverse methods gravity irrigation model validation experimental data |
| url | https://www.mdpi.com/2073-4395/10/10/1516 |
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