Neural Networks Prediction of Soil Hydraulic Functions for Alluvial Soils Using Multistep Outflow Data

2004 ◽  
Vol 68 (2) ◽  
pp. 417 ◽  
Author(s):  
B. Minasny ◽  
J. W. Hopmans ◽  
T. Harter ◽  
S. O. Eching ◽  
A. Tuli ◽  
...  
2004 ◽  
Vol 68 (2) ◽  
pp. 417-429 ◽  
Author(s):  
B. Minasny ◽  
J. W. Hopmans ◽  
T. Harter ◽  
S. O. Eching ◽  
A. Tuli ◽  
...  

2009 ◽  
Vol 60 (5) ◽  
pp. 792-806 ◽  
Author(s):  
H. Puhlmann ◽  
K. Von Wilpert ◽  
M. Lukes ◽  
W. Dröge

Biologia ◽  
2016 ◽  
Vol 71 (10) ◽  
Author(s):  
Miroslav Fér ◽  
Radka Kodešová ◽  
Antonín Nikodem ◽  
Veronika Jirků ◽  
Ondřej Jakšík ◽  
...  

AbstractThis study is focused on the comparison of soil structure and soil hydraulic properties of a Haplic Cambisol on paragneiss under two different land managements. Soil samples were taken from all diagnostic horizons (A, Bw and C) of the soil profile under the permanent grass cover (grassland) and under the conventional tillage (arable land). Basic soil properties were measured. Aggregate stability was assessed using the WSA index. Soil composition was evaluated using micromorphological images. Tension disk infiltrometers with two diameters of 2.22 and 10.25 cm (and applied pressure head of −2 cm) and Guelph permeameter were used to measure unsaturated and saturated hydraulic conductivities, respectively. Soil hydraulic properties were measured in the laboratory using the multistep outflow experiment, which was performed on the undisturbed 100 cm


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