Evaluation of Pedotransfer Functions for Predicting the Soil Moisture Retention Curve

By Wim Cornelis, Jan Ronsyn, M. Meirvenne, R. Hartmann. 2001

253 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering, Soil Science

View Paper: https://www.semanticscholar.org/paper/babb2e827f5a27872a70c091e54396c4af53a88a

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In Civil and Structural Engineering

In Environmental Engineering

In Soil Science

Citations in the corpus

Enhanced pedotransfer functions with support vector machines to predict water retention of calcareous soil (2016, background): “Since this time, considerable advances have been made in developing various PTFs. 276 © 2016 British Society of Soil Science In general, three main approaches can be distinguished for deriving the SWRC (Tietje & Tapkenhinrichs, 1993; Cornelis et al., 2001).”
Probabilistic Approach to the Identification of Input Variables to Estimate Hydraulic Conductivity (2008, methodology): “Recently, other techniques, such as artifi cial neural networks, have been used (e.g., Minasny and McBratney, 2002; Schaap et al., 1998, 2001) to develop PTFs. Pachepsky and Rawls (2004) and Cornelis et al. (2001) included descriptions and evaluations of many of these techniques.”
Using Pedotransfer Functions to Estimate the van Genuchten–Mualem Soil Hydraulic Properties: A Review (2010, methodology): “In the fi rst approach, moisture content values at specifi c pressure heads were estimated by PTFs, aft er which the VGM model was fi tted to these data.”
Comparison of Unimodal Analytical Expressions for the Soil-Water Retention Curve (2005, unknown): “expressions (Cornelis et al., 2001).”
Revisiting the pseudo continuous pedotransfer function concept: impact of data quality and data mining method (2014, background): “Details about this dataset, instrumentation and measurements, could be found in Cornelis et al. (2001). Samples had 8 to 10 water retention data points ranging from 0 to −1500 kPa.”
Functional evaluation of pedotransfer functions derived from different scales of data collection (2003, background): “Cornelis et al. (2001) comtabases. pared nine PTFs to estimate the soil moisture retention curve.”
Derivation and validation of pedotransfer functions for estimating soil water retention curve using a variety of soil data (2010, background): “This may indicate that the performance of a PTF can be influenced by the geographical source of the data sets used in its construction (Cornelis et al., 2001; Wagner et al., 2001).”
Quantification of uncertainty in pedotransfer function‐based parameter estimation for unsaturated flow modeling (2009, unknown): “One way of addressing this uncertainty is to compare the parameter estimates with corresponding measurements and to select the optimal model that gives the minimum difference [Williams et al., 1992; Tietje and Tapkenhinrichs, 1993; Kern, 1995;Minasny et al., 1999; Cornelis et al., 2001].”
Use of the Nonparametric Nearest Neighbor Approach to Estimate Soil Hydraulic Properties (2006, background): “…studies have no particular goal to promote any particular method or data source over others (e.g., Tietje and Tapkenhinrichs, 1993; Kern, 1995; Imam et al., 1999; Cornelis et al., 2001; Gijsman et al., 2003), they simply compare the performance of PTFs available in literature on some specific data.”
A pseudo-continuous neural network approach for developing water retention pedotransfer functions with limited data (2012, background): “For this reason, the extrapolation of PTFs beyond their statistical training limits and their geographical training area should always be preceded by a careful evaluation of their applicability to specific datasets (Cornelis et al., 2001).”
Modeling soil cation exchange capacity in multiple countries (2017, methodology): “Pedotransfer functions have often been developed using multiple linear regression models (Cornelis et al., 2001; Sequeira et al., 2014).”
From pedotransfer functions to soil inference systems (2002, background): “Many papers deal with the reliability of published PTFs to predict properties in certain areas or soil types (Ungaro and Calzolari, 2001; Wagner et al., 2001; Cornelis et al., 2001).”
Excluding Organic Matter Content from Pedotransfer Predictors of Soil Water Retention (2007, methodology): “Extensive overviews of the recent development and use of PTFs have been given by Timlin et al. (1996), Wösten et al. (2001), Cornelis et al. (2001), Gijsman et al. (2002), and Nemes et al. (2003).”