Online citations, reference lists, and bibliographies.
Please confirm you are human
(Sign Up for free to never see this)
← Back to Search

Functional Evaluation Of Pedotransfer Functions Derived From Different Scales Of Data Collection

A. Nemes, M. Schaap, J. Wösten
Published 2003 · Mathematics

Save to my Library
Download PDF
Analyze on Scholarcy
Estimation of soil hydraulic properties by pedotransfer functions (PTFs) can be an alternative to troublesome and expensive measurements. New approaches to develop PTFs are continuously being introduced, however, PTF applicability in locations other than those of data collection has been rarely reported. We used three databases were used to develop PTFs using artificial neural networks (NNs). Data from Hungary were used to derive national scale soil hydraulic PTFs. The HYPRES database was used to develop continental scale PTFs. Finally, a database containing mostly American and European data was used to develop intercontinental scale PTFs. For each database, 11 PTFs were developed that differed in detail of input data. Accuracy of the estimations was tested using independent Hungarian data. First, soil water retention at nine values of matric potential were estimated. Root mean squared residuals (RMSRs) using different inputs ranged from 0.02 to 0.06 m3 m-3 for national scale PTFs, while international scale PTFs had RMSRs from 0.025 to 0.088 m3 m-3. Estimated water retention curves (WRCs) were then used to simulate soil moisture time series of seven Hungarian soils. Root mean squared residuals during a growing season ranged from 0.065 to 0.07 m3 m-3, using different PTF estimates. Simulations using laboratory-measured WRCs had RMSR of 0.061 m3 m-3. Such small differences in the accuracy of simulations make international PTFs an alternative to national PTFs and measurements. However, testing of the international PTFs with a specific model for specific soil and land use remains desirable because of uncertainty in soil representation in such databases.
This paper references
Testing an Artificial Neural Network for Predicting Soil Hydraulic Conductivity
S. Tamari (1996)
Evaluation of pedotransfer functions
M. Donatelli (2004)
Use of soil physical characteristics from laboratory measurements or standard series for modelling unsaturated water flow
M.J.D. Hack-ten Broeke (1996)
A closed-form equation for predicting the hydraulic conductivity of unsaturated soils
Van Genuchten (1980)
Comparison of pedotransfer functions
B. Imam (1999)
Pesticide emission assessment at regional and local scales: User manual of FOCUS
van der Linden (2000)
Evaluation of pedotransfersite - specific nutrient management consulting . ( in Hungarian . ) PhD Thesis . Univ . of Gödöllő , Gödöllő , Hungary . functions
M. Leistra (1993)
Comparison of soil water retention at field and laboratory scales
Y. Pachepsky (2001)
Evaluation of pedo - transfer functions forof different approaches to the development of pedotransfer functions for water - retention curves
Y. Mualem (2001)
R. Hecht-Nielsen (1990)
On the hydraulic conductivity of unsaturated soils
S. Irmay (1954)
Testing Alternative Techniques of Numerical Simulation versus Repeated Field Instrumental Measurements for Assessing Soil Salinity Status in a Sodic Grassland
T. Tóth (2002)
Comparison of class and continuous pedotransfer functions to generate soil hydraulic characteristics
J. Wösten (1995)
A Simplex Method for Function Minimization
J. Nelder (1965)
Unsaturated Soil Hydraulic Database of Hungary: HUNSODA
A. Nemes (2002)
Cautionary notes on the use of pedotransfer functions for estimating soil hydraulic properties
A. Espino (1996)
Artificial Neural Networks to Estimate Soil Water Retention from Easily Measurable Data
Y. Pachepsky (1996)
Combining pedotransfer functions with physical measurements to improve the estimation of soil hydraulic properties
B. J. V. Alphen (2001)
Studies on certain physical soil properties in long-term soil cultivation experiments
Farkas (1999)
Accuracy of the saturated hydraulic conductivity prediction by pedo-transfer functions compared to the variability within FAO textural classes
O. Tietje (1996)
ROSETTA: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions
M. Schaap (2001)
Neural Networks: A Comprehensive Foundation
S. Haykin (1998)
Use of soil physical characteristics from laboratory measurements or standard USDA . 1951 . Soil survey manual . USDA Handbook No . 18 . Washington , DC . series for modelling unsaturated water flow
H. W. G. Booltink (1996)
Variability in the soil of a sample
Gy (2001)
Pedotransfer functions: bridging the gap between available basic soil data and missing soil hydraulic characteristics
J. Wösten (2001)
Functional behaviour of pedotransfer functions in soil water flow simulation
M. Soet (2003)
Database-related accuracy and uncertainty of pedotransfer functions
M. Schaap (1998)
Hysteretical models for prediction of the hydraulic conductivity of unsaturated porous media
Y. Mualem (1976)
An Introduction to the Bootstrap
B. Efron (1993)
Testing an REFERENCES artificial neural network for predicting soil hydraulic conductivity
J. Ronsyn (1996)
Comparison of different approaches to the development of pedotransfer functions for water-retention curves
B. Minasny (1999)
Extension of soil information and knowledge
E. Czinege (2000)
Development and use of a database of hydraulic properties of European soils
J. Wösten (1999)
Evaluation of Pedo-transfer Functions For Unsaturated Soil Hydraulic
B. Wagner (2001)
Description of the unsaturated soil hydraulic database UNSODA version 2.0
A. Nemes (2001)
Statistical Hydraulic Conductivity Models and Scaling of Capillary Phenomena in Porous Media
V. Snyder (1996)
Evaluation of Soil Water Retention Models Based on Basic Soil Physical Properties
J. Kern (1995)
Neural Network Toolbox Manual
H. Demuth (1992)
Accuracy of the saturated hydraulic conductivity prediction by pedo - transfer functions compared to themoisture retention curve
E. Czinege
Estimating Soil Water Retention from Soil Physical Properties and Characteristics
W. Rawls (1991)
Evaluation of Pedotransfer Functions for Predicting the Soil Moisture Retention Curve
W. Cornelis (2001)

This paper is referenced by
Pedotransfer functions for Europe
J. Wösten (2004)
Water productivity of irrigated crops in Sirsa district, India
J. V. Dam (2003)
A Comparative Study of Multiple Approaches for Predicting the Soil–Water Retention Curve: Hyperspectral Information vs. Basic Soil Properties
Ebrahim Babaeian (2015)
Sensitivity Analysis for Determining Priority of Factors Controlling SOC Content in Semiarid Condition of West of Iran
Y. Parvizi (2010)
Multi-scale hydraulic pedotransfer functions for Hungarian soils
A. Nemes (2003)
Pedo-transfer Functions for Determining Soil Water Retention and Assessing their Utility in Simulation Model for Predicting Rice Growth and Yield
G. Kar (2013)
Functional Evaluation Of Pedotransfer Functions For Simulation Of Soil Profile Drainage
Fatemeh Zakizadeh Abkenar (2019)
Evaluation of Artificial Neural Network and Regression PTFS in Estimating Some Soil Hydraulic Parameters
Fashi Haghighi Fereshte (2014)
Hydrologic prediction using pattern recognition and soft-computing techniques
K. Parasuraman (2007)
Use of the Nonparametric Nearest Neighbor Approach to Estimate Soil Hydraulic Properties
A. Nemes (2006)
WISE-based soil parameter estimates for Norteastern Africa (version 1.0)
Versión (2005)
The wisdom of crowds — ensembles and modules in environmental modelling
L. Baker (2008)
Sensitivity Analysis of the Nonparametric Nearest Neighbor Technique to Estimate Soil Water Retention
A. Nemes (2006)
Mapping soil water holding capacity over large areas to predict potential production of forest stands
Christian Piedallu (2011)
Deriving and validating pedotransfer functions for some calcareous soils
H. Khodaverdiloo (2011)
Sensitivity analysis of point and parametric pedotransfer functions for estimating water retention of soils in Algeria
Sami Touil (2016)
Pedotransfer Functions for Estimating Soil Hydraulic Properties: A Review
N. Patil (2016)
Indirect methods to predict hydrophysical properties of soils of Lower Congo
Yves-Dady Botula Manyala (2013)
Testing Some Pedo-Transfer Functions (PTFs) in Apulia Region. Evaluation on the Basis of Soil Particle Size Distribution and Organic Matter Content for Estimating Field Capacity and Wilting Point
Floriano Buccigrossi (2010)
The use of in situ volumetric water content at field capacity to improve the prediction of soil water retention properties
H. A. Majou (2008)
Investigating the Performance of Data-based Methods in Estimating Important Moisture Points in Shahrood Area
O. Norouzi Engenayi (2020)
Predicting average regional yield and production of wheat in the Argentine Pampas by an artificial neural network approach
R. Álvarez (2009)
Revisiting Field Capacity (FC): variation of definition of FC and its estimation from pedotransfer functions
T. B. O. Filho (2014)
Using Classification Trees to Evaluate the Performance of Pedotransfer Functions
R. Boschi (2014)
Soil water balance scenario studies using predicted soil hydraulic parameters
A. Nemes (2006)
Using pedotransfer functions to estimate the van Genuchten-Mualem Soil Hydraulic Properties: a review.
H. Vereecken (2010)
Introduction of the Hungarian Detailed Soil Hydrophysical Database (MARTHA) and its use to test external pedotransfer functions
A. Makó (2010)
Talajok víztartó képességét becslő módszerek
B. Tóth (2010)
Validité de l’estimation des propriétés de rétention en eau de sols syriens à partir de fonctions et classes de pédotransfert développées pour des sols français
H. A. Majou (2016)
Pedotransfer Functions for Estimating Saturated Hydraulic Conductivity of Selected Benchmark Soils in Ghana
H. O. Tuffour (2019)
Evaluation of Water Retention Functions and Computer Program “Rosetta” in Predicting Soil Water Characteristics of Seasonally Impounded Shrink–Swell Soils
N. Patil (2009)
Assessment of improved soil hydraulic parameters for soil water content simulation and irrigation scheduling
N. Garg (2015)
See more
Semantic Scholar Logo Some data provided by SemanticScholar