Equations for the soil-water characteristic curve

Fredlund, D. G.; Xing, Anqing

doi:10.1139/t94-061

Cited by 2,478 publications

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“…The transient diffusive model needs the estimation of the maximum hydraulic diffusivity, D 0 , that was calculated using soil moisture characteristic functions (Brooks and Corey, 1964;Van Genuchten, 1980;Fredlund and Xing, 1994), and then calibrated during the simulation.…”

Section: Resultsmentioning

confidence: 99%

Distributed modelling of shallow landslides triggered by intense rainfall

Crosta

Frattini

2003

Nat. Hazards Earth Syst. Sci.

312

178

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Abstract. Hazard assessment of shallow landslides represents an important aspect of land management in mountainous areas. Among all the methods proposed in the literature, physically based methods are the only ones that explicitly includes the dynamic factors that control landslide triggering (rainfall pattern, land-use). For this reason, they allow forecasting both the temporal and the spatial distribution of shallow landslides. Physically based methods for shallow landslides are based on the coupling of the infinite slope stability analysis with hydrological models. Three different gridbased distributed hydrological models are presented in this paper: a steady state model, a transient "piston-flow" wetting front model, and a transient diffusive model. A comparative test of these models was performed to simulate landslide occurred during a rainfall event (27-28 June 1997) that triggered hundreds of shallow landslides within Lecco province (central Southern Alps, Italy). In order to test the potential for a completely distributed model for rainfall-triggered landslides, radar detected rainfall intensity has been used. A new procedure for quantitative evaluation of distributed model performance is presented and used in this paper. The diffusive model results in the best model for the simulation of shallow landslide triggering after a rainfall event like the one that we have analysed. Finally, radar

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Section: Resultsmentioning

confidence: 99%

Distributed modelling of shallow landslides triggered by intense rainfall

Crosta

Frattini

2003

Nat. Hazards Earth Syst. Sci.

312

178

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“…The optimized values of the α retention parameter (Tables 2a and 2b) for both areas were relatively large, indicative of the coarse nature of our soil (Carsel and Parrish, 1988;Fredlund and Xing, 1994). The value of α of the stemflow area was 2.8 times higher than that of throughfall area, which again reflects the lower bulk density and higher organic matter content of the stemflow area, leading to a more macroporous medium.…”

Section: Water Retention Curvesmentioning

confidence: 92%

Inverse estimation of soil hydraulic properties under oil palm trees

et al. 2015

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“…Numerous equations have been proposed to mathematically fit the soilwater characteristic curves (Fredlund and Xing, 1994;van Genuchten, 1980). The Fredlund and Xing (1994) equation was used for the analysis of data in this paper. The suction at ERRP, ψ R can be determined using Eq.…”

Section: Determination Of Volumetric Water Content At Evaporation-ratmentioning

confidence: 99%

Improvements to the calculation of actual evaporation from bare soil surfaces

Tran¹,

Fredlund

Chan

2016

Can. Geotech. J.

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Evaporation of water from a saturated soil surface with ample free water is known as potential evaporation, PE, and the associated physical processes are quite well understood. However, evaporation of water from an unsaturated soil surface is known as actual evaporation, AE, and the associated physical processes are more complex and less understood. The calculation of actual evaporation is important for many geotechnical engineering applications. Soil suction and the corresponding water content at which the AE rate begins to depart from the PE rate during a drying process are re-assessed using a series of laboratory tests (i.e., thin soil section drying tests and soil column drying tests).Laboratory results show that the suction at which the actual rate of evaporation begins to depart from PE rate for soil columns (or thick soil layers) may be different than for thin soil layers. The suction at the "evaporation-rate reduction point", (ERRP) appears to be approximately 3,000 kPa for thin soil layers, but is between the air-entry value and residual soil suction for thick soil layers or soil columns. The analyses presented in this paper have resulted in the development of a methodology for the estimation of the suction corresponding to the ERRP in soil columns. Equations are also proposed to calculate the

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Equations for the soil-water characteristic curve

Cited by 2,478 publications

References 0 publications

Distributed modelling of shallow landslides triggered by intense rainfall

Distributed modelling of shallow landslides triggered by intense rainfall

Inverse estimation of soil hydraulic properties under oil palm trees

Improvements to the calculation of actual evaporation from bare soil surfaces

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