Development of pedotransfer functions using a group method of data handling for the soil of the Pianura Padano–Veneta region of North Italy: water retention properties

Geoderma ◽  
2005 ◽  
Vol 124 (3-4) ◽  
pp. 293-317 ◽  
Author(s):  
Fabrizio Ungaro ◽  
Costanza Calzolari ◽  
Ermanno Busoni
Keyword(s):  
Water Retention ◽  
Pedotransfer Functions ◽  
Group Method ◽  
Data Handling ◽  
Water Retention Properties

Estimating Water Retention with Pedotransfer Functions Using Multi-Objective Group Method of Data Handling and ANNs

Pedosphere ◽  
2011 ◽  
Vol 21 (1) ◽  
pp. 107-114 ◽  
Author(s):  
H. BAYAT ◽  
M.R. NEYSHABOURI ◽  
K. MOHAMMADI ◽  
N. NARIMAN-ZADEH
Keyword(s):  
Water Retention ◽  
Pedotransfer Functions ◽  
Group Method ◽  
Data Handling ◽  
Multi Objective

Development of class pedotransfer functions for integrating water retention properties into Portuguese soil maps

Soil Research ◽  
2013 ◽  
Vol 51 (4) ◽  
pp. 262 ◽  
Author(s):  
T. B. Ramos ◽  
M. C. Gonçalves ◽  
D. Brito ◽  
J. C. Martins ◽  
L. S. Pereira
Keyword(s):  
Water Balance ◽  
Bulk Density ◽  
Water Retention ◽  
Swat Model ◽  
Pedotransfer Functions ◽  
Soil Horizon ◽  
Soil Maps ◽  
Catchment Scale ◽  
Small Catchment ◽  
Water Retention Properties

Hydrological modellers have recently been challenged to improve watershed models by better integrating soil information into model applications. Reliable soil hydraulic information is thus necessary for better describing the water balance components at the catchment scale. Frequently, that information does not exist. This study presents a set of class-pedotransfer functions (PTFs) for estimating the water retention properties of Portuguese soils. The class-PTFs were established from a dataset containing 697 soil horizons/layers, by averaging values of total porosity and volumetric water contents at –0.25, –1, –3.2, –6.3, –10, –33, –100, –250, and –1500 kPa matric potentials after grouping data by soil texture class, soil horizon, and bulk density. Fitted retention curves using the van Genuchten model were also obtained for every class-PTF. The root mean square error varied between 0.039 and 0.057 cm3/cm3, with smaller values found when using the 12 texture classes of the International Soil Science Society (ISSS) system rather than the five texture classes of FAO, and when bulk density was also considered. The class-PTFs were then integrated into Portuguese soil maps and its usage was demonstrated by deriving maps of available water capacity to be used for modelling the water balance in a small catchment area with the SWAT model. The model successfully simulated the reservoir inflow when using the derived maps, but the results did not vary much whether using coarser or finer description of the catchment soils. Nonetheless, the class-PTFs contributed to a better soil characterisation than when using coarse-scaled information. The approach followed here was simple, inexpensive, and feasible for modellers with few resources but interested in considering the spatial variability of soil retention properties at large scales and in advancing hydrologic modelling in Portugal.

Pedotransfer functions for estimating soil water retention properties of northern China agricultural soils: Development and needs*

2021 ◽  
Author(s):  
Xu Xu ◽  
Huawei Li ◽  
Chen Sun ◽  
Tiago B. Ramos ◽  
Hanaa Darouich ◽  
...  
Keyword(s):  
Soil Water ◽  
Water Retention ◽  
Agricultural Soils ◽  
Northern China ◽  
Pedotransfer Functions ◽  
Soil Water Retention ◽  
Water Retention Properties

Improvement in estimation of soil water retention using fractal parameters and multiobjective group method of data handling

2014 ◽  
Vol 61 (2) ◽  
pp. 257-273 ◽  
Author(s):  
Mohammad Reza Neyshaburi ◽  
Hossein Bayat ◽  
Kourosh Mohammadi ◽  
Nader Nariman-Zadeh ◽  
Mahdi Irannejad
Keyword(s):  
Soil Water ◽  
Water Retention ◽  
Group Method ◽  
Data Handling ◽  
Soil Water Retention ◽  
Fractal Parameters

scholarly journals Variation of the water-retention properties of soils: Validity of class-pedotransfer functions

2007 ◽  
Vol 339 (9) ◽  
pp. 632-639 ◽  
Author(s):  
Hassan Al Majou ◽  
Ary Bruand ◽  
Odile Duval ◽  
Isabelle Cousin
Keyword(s):  
Water Retention ◽  
Pedotransfer Functions ◽  
Water Retention Properties

Use of soil penetration resistance and group method of data handling to improve soil water retention estimates

1998 ◽  
Vol 49 (1-2) ◽  
pp. 117-126 ◽  
Author(s):  
Ya Pachepsky ◽  
W Rawls ◽  
D Gimenéz ◽  
J.P.C Watt
Keyword(s):  
Soil Water ◽  
Water Retention ◽  
Penetration Resistance ◽  
Group Method ◽  
Data Handling ◽  
Soil Water Retention ◽  
Soil Penetration Resistance

scholarly journals Transferability of continuous- and class-pedotransfer functions to predict water retention properties of semiarid Syrian soils

2018 ◽  
Vol 34 (3) ◽  
pp. 354-369
Author(s):  
H. Al Majou ◽  
B. Hassani ◽  
A. Bruand
Keyword(s):  
Water Retention ◽  
Pedotransfer Functions ◽  
Water Retention Properties

Application of Group Method of Data Handling with a Shift Operator to Forecasting Financial Indices of Local Budgets

2008 ◽  
Vol 40 (6) ◽  
pp. 17-26
Author(s):  
Valentin N. Tomashevskiy ◽  
Alexander N. Vinogradov ◽  
Yuriy A. Oleinik
Keyword(s):  
Shift Operator ◽  
Group Method ◽  
Data Handling ◽  
Financial Indices

APPLICATION OF ONE WEEK AHEAD WAVE PREDICTION FOR USING GROUP METHOD OF DATA HANDLING

2020 ◽  
Vol 76 (2) ◽  
pp. I_229-I_234
Author(s):  
Keishiro CHIYONOBU ◽  
Sooyoul KIM ◽  
Masahide TAKEDA ◽  
Chisato HARA ◽  
Hajime MASE ◽  
...  
Keyword(s):  
Group Method ◽  
Data Handling ◽  
Wave Prediction

scholarly journals Carboxylated nanocellulose superabsorbent: Biodegradation and soil water retention properties

2021 ◽  
pp. 51495
Author(s):  
Ruth M. Barajas‐Ledesma ◽  
Vanessa N. L. Wong ◽  
Karen Little ◽  
Antonio F. Patti ◽  
Gil Garnier
Keyword(s):  
Soil Water ◽  
Water Retention ◽  
Soil Water Retention ◽  
Water Retention Properties
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