Evaluation and development of pedotransfer functions of saturated hydraulic conductivity for subtropical soils
•Performance of 12 current saturated hydraulic conductivity (Ks) PTFs was evaluated.•Ottoni (2019) and Rosetta3 PTFs gave acceptable estimates for subtropical soils.•Subtropical soil Ks was more affected by effective porosity rather than texture.•New PTF considering both textural and pore-structural...
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Veröffentlicht in: | Geoderma 2024-08, Vol.448, p.116976, Article 116976 |
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Zusammenfassung: | •Performance of 12 current saturated hydraulic conductivity (Ks) PTFs was evaluated.•Ottoni (2019) and Rosetta3 PTFs gave acceptable estimates for subtropical soils.•Subtropical soil Ks was more affected by effective porosity rather than texture.•New PTF considering both textural and pore-structural properties was developed.
The determination of soil saturated hydraulic conductivity (Ks) is crucial in environmental and engineering fields. However, the current direct measurement methods of Ks are time-consuming and labor-intensive. As an alternative method, many researchers have developed a series of pedotransfer functions (PTFs) that estimate Ks based on easily accessible soil properties. Unfortunately, most existing PTFs of Ks focus on temperate and tropical regions in the United States and Europe. There is a lack of research discussing the applicability of Ks models in subtropical areas. To resolve this issue, we conduct a study using 515 subtropical soil samples to test the performance of existing PTFs of Ks. The Ks values of investigated soils range from 1.4 × 10-4 to 290 cm h−1. Among the affecting factors, soil bulk density (ρb) and effective porosity (φe) are found to be the most important variables. Current PTFs considering soil pore structural property (i.e., φe) or soil texture solely are not effective in assessing Ks of subtropical soils. To address this limitation, we integrate soil pore structural and textural properties and develop a new PTF based on the Kozeny-Carman equation. The performance and reliability of the new PTF are evaluated using independent Ks datasets from various regions. The results show a significant positive correlation between the measured Ks and the predicted Ks from the new PTF for subtropical soils with an R2 of 0.69, an average RMSE in log10Ks (cm h−1) of 0.496, and a mean bias value of 0.070. Besides, the new PTF is found to perform as well as widely used machine learning tools. |
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ISSN: | 0016-7061 1872-6259 |
DOI: | 10.1016/j.geoderma.2024.116976 |