Article
Soil Science
Rudiyanto, Budiman Minasny, Nathaniel W. Chaney, Federico Maggi, Sunny Goh Eng Giap, Ramisah M. Shah, Dian Fiantis, Budi Setiawan
Summary: This study introduces neuroFX, a suite of PTFs developed for estimating soil hydraulic curves based on the FXW model. It offers an uncertainty estimate of hydraulic parameters and outperformed existing PTFs such as ROSETTA and BW in predicting soil water retention and unsaturated hydraulic conductivity curves.
Article
Geosciences, Multidisciplinary
Hans W. Klopp, Francisco A. Arriaga, A. L. M. Daigh, W. F. Bleam
Summary: This study improved the prediction accuracy of soil hydraulic properties on salt affected soils by developing new pedotransfer functions that take into account the influence of soil clay mineralogy and solution composition. The newly developed functions outperformed previous models and can easily predict the response of soils to changes in irrigation water quality.
Article
Engineering, Civil
Shawkat B. M. Hassan, Giovanna Dragonetti, Alessandro Comegna, Asma Sengouga, Nicola Lamaddalena, Antonio Coppola
Summary: The main purpose of this paper is to develop a bimodal pedotransfer function to obtain soil water retention curves and hydraulic conductivity curves. By incorporating aggregate-size distribution, the proposed function improves the prediction accuracy of soil hydraulic properties compared to the traditional unimodal approach.
JOURNAL OF HYDROLOGY
(2022)
Article
Soil Science
Lucas de Castro Moreira da Silva, Ricardo Santos Silva Amorim, Elpidio Inacio Fernandes Filho, Edwaldo Dias Bocuti, Demetrius David da Silva
Summary: This review examines the modeling of soil hydraulic properties (SHP) using pedotransfer functions (PTFs) from 2012 to 2021. The analysis of 101 publications reveals a significant contribution from tropical regions and an increased use of machine learning techniques in PTF development. However, PTFs based on temperate soils data struggle to predict SHP of tropical soils, particularly fine-textured soils. Results highlight the need for improved PTFs capable of accurately predicting the hydraulic patterns of fine-textured tropical soils.
Article
Environmental Sciences
Yunquan Wang, Jieliang Zhou, Rui Ma, Gaofeng Zhu, Yongyong Zhang
Summary: This paper presents a simple method for predicting soil hydraulic properties in dry conditions, which overcomes the limitations of existing methods. By applying this method to a new soil hydraulic model, more accurate predictions of soil water content and hydraulic conductivity can be achieved.
WATER RESOURCES RESEARCH
(2022)
Article
Soil Science
Alessandra Calegari da Silva, Robson Andre Armindo, Budiman Minasny, Celso Luiz Prevedello
Summary: The Splintex 2.0 model, based on a semi mechanistic model, demonstrated accurate estimation of soil hydraulic functions' parameters and performed well in estimating water content and field capacity, showing potential as an alternative model for areas lacking calibration data. Comparisons with previous version and other PTF models indicated the reliability and effectiveness of Splintex 2.0 across a wide range of soil types.
SOIL & TILLAGE RESEARCH
(2021)
Article
Environmental Studies
Lukasz Borek, Andrzej Bogdal, Tomasz Kowalik
Summary: This study analyzed the values of saturated hydraulic conductivity (Ks) obtained from in situ measurements, laboratory measurements, and models of pedotransfer functions (PTFs). The results showed that in situ measurements were significantly correlated with laboratory tests, while the best match was found between laboratory measurements and the PTF-2 model.
Article
Engineering, Civil
Simone Di Prima, Ryan D. Stewart, Majdi R. Abou Najm, Ludmila Ribeiro Roder, Filippo Giadrossich, Sergio Campus, Rafael Angulo-Jaramillo, Deniz Yilmaz, Pier Paolo Roggero, Mario Pirastru, Laurent Lassabatere
Summary: Water-repellent soils experience water flow impedance and progressive increase of infiltration rate during wetting process, which current infiltration models cannot describe. The modified BEST-WR method provides a new approach for hydraulic characterization of soils at any stage of water-repellency, introducing a new index to assess soil water repellency.
JOURNAL OF HYDROLOGY
(2021)
Article
Green & Sustainable Science & Technology
Jessica Lima Viana, Jorge Luiz Moretti de Souza, Andre Carlos Auler, Ricardo Augusto de Oliveira, Rena Moreira Araujo, Aaron Kinyu Hoshide, Daniel Carneiro de Abreu, Wininton Mendes da Silva
Summary: We investigated the physical and hydric attributes of an Oxisol in northwestern Parana state, Brazil and found that crop cultivation on sandy soils is vulnerable to water stress. By analyzing soil samples and measuring various soil properties, we discovered that an increase in coarse sand content improves soil permeability and water storage capacity, while an increase in fine sand content reduces permeability but increases soil moisture content in subsurface layers.
Article
Environmental Studies
Agnieszka Petryk, Edyta Kruk, Marek Ryczek, Lenka Lackoova
Summary: Saturated hydraulic conductivity is a crucial soil parameter that affects surface runoff and water erosion formation. Field and laboratory methods for measuring this parameter are time-consuming and expensive, while empirical methods are simple, quick, and costless. This study compared 15 pedotransfer models to assess their usefulness in determining saturated hydraulic conductivity for highly eroded loess soil. The average values obtained from the analyzed functions ranged greatly between 2.00 center dot 10(-3) and 4.05 center dot 10(0) m center dot day(-1). The results were compared with each other and with values obtained from the field method. The Kazeny-Carman and Zauuerbrej methods showed the best comparability with the field method, while the Seelheim and Furnival-Wilson methods differed significantly.
Article
Agronomy
Kyo-Suk Lee, Dong-Sung Lee, Hyun-Gyu Jung, Sang-Phil Lee, Jin-Hee Ryu, Woo-Jung Choi, Jae-Eui Yang, Doug-Young Chung
Summary: This study evaluated the applicability and prediction accuracy of pedotransfer function (PTF) in estimating the water retention curves of high salinity soils. The results showed that RB-PTF was able to estimate the SWRCs of sandy loam and silt loam accurately, making it suitable for predicting SWRCs in RTFS.
Article
Engineering, Civil
Ke Chen, Chen Wang, Fayun Liang
Summary: This paper presents a fractal-based hydraulic model that accurately describes the evolution of soil water characteristics and hydraulic conductivity during soil deformation.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Behzad Ghanbarian, Brandon A. Yokeley
Summary: Grouping soils based on similarities in their textural, taxonomic, and/or structural properties has broad applications to pedology, hydrology, and soil science. In this study, a new approach for classifying soils using hydraulic conductivity data was presented, and eight different soil classes were identified within the studied data set by calculating critical pore sizes and grouping soils with similar characteristics.
WATER RESOURCES RESEARCH
(2021)
Article
Geosciences, Multidisciplinary
D. Moret-Fernandez, A. Arroyo, J. Herrero, O. Barrantes, C. L. Alados, Y. Pueyo
Summary: Increasing gypsum content can enhance soil water infiltration without affecting water retention capacity and total porosity. Moderate grazing in semi-arid regions does not have negative effects on soil hydro-physical properties.
Article
Soil Science
Lionel Alletto, Sixtine Cueff, Julie Brechemier, Maylis Lachaussee, Damien Derrouch, Anthony Page, Benoit Gleizes, Pierre Perrin, Vincent Bustillo
Summary: This study compared the water functioning of soils in conservation agriculture (CA) fields and adjacent fields with regular ploughing (CONV) in the Adour-Garonne basin in France. The results showed that CA had higher hydraulic conductivity and infiltration capacity compared to CONV, with less temporal variability. Although CA had slightly higher available water capacity than CONV in the surface horizon, there was not a significant difference at the scale of the soil profile. However, CA increased rooting depth and improved the ability of crops to use water.