Comparison of Measured and Predicted Infiltration Using the LBL Infiltration Model

2008 ◽  
pp. 325-325-23 ◽  
Author(s):  
MH Sherman ◽  
MP Modera
Keyword(s):  
Infiltration Model

Application of an Infiltration Model to Experimental Data

1989 ◽  
Vol 53 (6) ◽  
pp. 1913-1914 ◽  
Author(s):  
W.L. Hogarth ◽  
J.-Y. Parlange ◽  
R. Haverkamp ◽  
B. Davidoff ◽  
H.M. Selim
Keyword(s):  
Experimental Data ◽  
Infiltration Model

APPLICATION OF SCS INFILTRATION MODEL

1982 ◽  
Vol 18 (3) ◽  
pp. 503-507 ◽  
Author(s):  
Sree Kumar ◽  
Subhash C. Jain
Keyword(s):  
Infiltration Model

Improving the representation of soil moisture by using a semi-analytical infiltration model

2013 ◽  
Vol 28 (4) ◽  
pp. 2103-2115 ◽  
Author(s):  
L. Brocca ◽  
S. Camici ◽  
F. Melone ◽  
T. Moramarco ◽  
J. Martínez-Fernández ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Infiltration Model

scholarly journals An Improved Method to Estimate Soil Hydrodynamic and Hydraulic Roughness Parameters by Using Easily Measurable Data During Flood Irrigation Experiments and Inverse Modelling

Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1581
Author(s):  
Mohamed Alkassem Alosman ◽  
Stéphane Ruy ◽  
Samuel Buis ◽  
Patrice Lecharpentier ◽  
Jean Bader ◽  
...  
Keyword(s):  
Soil Surface ◽  
Surface Flow ◽  
Performance Criteria ◽  
Soil Parameters ◽  
Well Performance ◽  
Estimation Errors ◽  
Hydraulic Roughness ◽  
Infiltration Model ◽  
Estimation Uncertainty ◽  
Using Data

Surface irrigation is known as a highly water-consuming system and needs to be optimized to save water. Models can be used for this purpose but require soil parameters at the field scale. This paper aims to estimate effective soil parameters by combining: (i) a surface flow-infiltration model, namely CALHY; (ii) an automatic fitting algorithm based on the SIMPLEX method; and (iii) easily accessible and measurable data, some of which had never been used in such a process, thus minimizing parameter estimation errors. The validation of the proposed approach was performed through three successive steps: (1) examine the physical meaning of the fitted parameters; (2) verify the accuracy of the proposed approach using data that had not been served in the fitting process; and (3) validate using data obtained from independent irrigation events. Three parameters were estimated with a low uncertainty: the saturated hydraulic conductivity Ks, the hydraulic roughness k, and the soil water depletion ∆θ. The estimation uncertainty of the soil surface depressional storage parameter H0 was of the same order of magnitude of its value. All experimental datasets were simulated very well. Performance criteria were similar during both the fitting and validation stages.

scholarly journals General 1-D hydrogeological model for temporal near-surface loess saturation assessment for the needs of radon potential mapping

2021 ◽  
Vol 82 (3) ◽  
pp. 219-221
Author(s):  
Sava Kolev
Keyword(s):  
High Mobility ◽  
Domain Modeling ◽  
Hydrogeological Model ◽  
Saturation State ◽  
Near Surface ◽  
Infiltration Model ◽  
Potential Mapping ◽  
Radon Potential ◽  
Usual State ◽  
Constant Source

Radon gas has high mobility and is driven by advection and diffusion with the soil gas throughout connected and water-unsaturated pores and/or cracks in permeable rocks and soils. Hence the radon potential of the area could be dependent on not only geology as a constant source of radon but also from the changes of the saturation state of the ground. The loess complex, characterized by its permeability and usual state of unsaturation, covers 10% of the Bulgarian territory. The study deals with the principles of unsaturated domain modeling. An attempt of generic vertical infiltration model coinciding with the most upper part of loess vadose zone was performed.

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