Unsaturated Soil Hydraulic Conductivity in the Central Amazon: Field Evaluations

Author(s):  
Wenceslau Geraldes Teixeira ◽  
Götz Schroth ◽  
Jean Dalmo Marques ◽  
Bernd Huwe
Soil Research ◽  
2013 ◽  
Vol 51 (1) ◽  
pp. 23 ◽  
Author(s):  
Mohammad Reza Neyshabouri ◽  
Mehdi Rahmati ◽  
Claude Doussan ◽  
Boshra Behroozinezhad

Unsaturated soil hydraulic conductivity K is a fundamental transfer property of soil but its measurement is costly, difficult, and time-consuming due to its large variations with water content (θ) or matric potential (h). Recently, C. Doussan and S. Ruy proposed a method/model using measurements of the electrical conductivity of soil core samples to predict K(h). This method requires the measurement or the setting of a range of matric potentials h in the core samples—a possible lengthy process requiring specialised devices. To avoid h estimation, we propose to simplify that method by introducing the particle-size distribution (PSD) of the soil as a proxy for soil pore diameters and matric potentials, with the Arya and Paris (AP) model. Tests of this simplified model (SM) with laboratory data on a broad range of soils and using the AP model with available, previously defined parameters showed that the accuracy was lower for the SM than for the original model (DR) in predicting K (RMSE of logK = 1.10 for SM v. 0.30 for DR; K in m s–1). However, accuracy was increased for SM when considering coarse- and medium-textured soils only (RMSE of logK = 0.61 for SM v. 0.26 for DR). Further tests with 51 soils from the UNSODA database and our own measurements, with estimated electrical properties, confirmed good agreement of the SM for coarse–medium-textured soils (<35–40% clay). For these textures, the SM also performed well compared with the van Genuchten–Mualem model. Error analysis of SM results and fitting of the AP parameter showed that most of the error for fine-textured soils came from poorer adequacy of the AP model’s previously defined parameters for defining the water retention curve, whereas this was much less so for coarse-textured soils. The SM, using readily accessible soil data, could be a relatively straightforward way to estimate, in situ or in the laboratory, K(h) for coarse–medium-textured soils. This requires, however, a prior check of the predictive efficacy of the AP model for the specific soil investigated, in particular for fine-textured/structured soils and when using previously defined AP parameters.


2018 ◽  
Vol 564 ◽  
pp. 802-810 ◽  
Author(s):  
Zhengchao Tian ◽  
Dilia Kool ◽  
Tusheng Ren ◽  
Robert Horton ◽  
Joshua L. Heitman

2001 ◽  
Vol 29 (6) ◽  
pp. 556 ◽  
Author(s):  
RE Petersen ◽  
RE Link ◽  
DN Singh ◽  
SJ Kuriyan ◽  
V Madhuri

Soil Science ◽  
1993 ◽  
Vol 155 (1) ◽  
pp. 8-14 ◽  
Author(s):  
P. MOLDRUP ◽  
J. Aa. HANSEN ◽  
D. E. ROLSTON ◽  
T. YAMAGUCHI

2007 ◽  
Vol 31 (5) ◽  
pp. 1219-1222 ◽  
Author(s):  
Durval Dourado Neto ◽  
Klaus Reichardt ◽  
Adriana Lúcia da Silva ◽  
Osny Oliveira Santos Bacchi ◽  
Luis Carlos Timm ◽  
...  

A software for the calculation of unsaturated soil hydraulic conductivity K(theta) is presented for commonly used methods found in the literature, based on field experiments in which a soil profile is submitted to water infiltration followed by internal drainage. The software is available at: [email protected].


Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 741
Author(s):  
Toan Thi Duong ◽  
Duc Minh Do ◽  
Kazuya Yasuhara

Riverbank failure often occurs in the rainy season, with effects from some main processes such as rainfall infiltration, the fluctuation of the river water level and groundwater table, and the deformation of transient seepage. This paper has the objective of clarifying the effects of soil hydraulic conductivity and rainfall intensity on riverbank stability using numerical analysis with the GeoSlope program. The initial saturation condition is first indicated as the main factor affecting riverbank stability. Analyzing high-saturation conditions, the obtained result can be used to build an understanding of the mechanics of riverbank stability and the effect of both the rainfall intensity and soil hydraulic conductivity. Firstly, the rainfall intensity is lower than the soil hydraulic conductivity; the factor of safety (FOS) reduces with changes in the groundwater table, which is a result of rainwater infiltration and unsteady state flow through the unsaturated soil. Secondly, the rainfall intensity is slightly higher than the soil hydraulic conductivity, the groundwater table rises slowly, and the FOS decreases with both changes in the wetting front and groundwater table. Thirdly, the rainfall intensity is much higher than the soil hydraulic conductivity, and the FOS decreases dominantly by the wetting front and pond loading area. Finally, in cases with no pond, the FOS reduces when the rainfall intensity is lower than hydraulic conductivity. With low hydraulic conductivity, the wetting front is on a shallow surface and descends very slowly. The decreasing of FOS is only due to transient seepage changes of the unsaturated soil properties by losing soil suction and shear strength. These obtained results not only build a clearer understanding of the filtration mechanics but also provide a helpful reference for riverbank protection.


1994 ◽  
Vol 58 (6) ◽  
pp. 1596 ◽  
Author(s):  
J. Stolte ◽  
J. M. Halbertsma ◽  
G. J. Veerman ◽  
J. H. M. Wösten ◽  
J. I. Freijer ◽  
...  

1993 ◽  
Vol 50 (2) ◽  
pp. 326-328 ◽  
Author(s):  
O.O.S. Bacchi ◽  
K. Reichardt

The simple methods of LIBARDI et al. (1980) and SISSON et al. (1980) for K(theta) estimation, although developed on completely different theoretical basis, are rigorously identical for the exponential hydraulic conductivity model. The unit gradient approximation used in these methods seems valid for practical purposes but is theoretically in valid.


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