Impact of overland flow on soil characteristics in Třebsín experimental plots

This paper describes the continuation of simulated outcomes from the plots No. 4 and No. 5 with two different soils, using the KINFIL model to assess the runoff from extreme rainfall. The KINFIL model is a physically-based, parameter-distributed 3D model that has been applied to the Třebsín experime...

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Bibliographic Details
Published in:Soil and water research 2017-01, Vol.12 (3), p.187-193
Main Authors: BAČINOVÁ, Hana, KOVÁŘ, Pavel
Format: Article
Language:English
Subjects:
Computation
Curves
Field capacity
Hydraulics
Hydrologic data
hydrological model
infiltration
kinematic wave
Mathematical models
Overland flow
Parameters
Rainfall
Runoff
Shear stress
Simulation
Soil characteristics
Soil suction
Soils
Surface runoff
Three dimensional models
water erosion
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Summary:This paper describes the continuation of simulated outcomes from the plots No. 4 and No. 5 with two different soils, using the KINFIL model to assess the runoff from extreme rainfall. The KINFIL model is a physically-based, parameter-distributed 3D model that has been applied to the Třebsín experimental station in the Czech Republic. This model was used for the first time in 2012 to simulate the impact of overland flow caused by natural or sprinkler-made intensive rains on four of the nine experimental plots. This measurement of a rain simulator producing a high-intensity rainfall involves also hydraulic conductivity, soil sorptivity, plot geometry and granulometric curves to be used for the present analysis. However, since 2012, the KINFIL model has been amended to provide a more effective comparison of the measured and computed results using the values of new parameters such as storage suction factor and field capacity on plot 4 and plot 5. The KINFIL model uses all input data mentioned above, and it produces the output data such as gross rainfall, effective rainfall, runoff discharge hydraulic depths, hydraulic velocities and shear velocities as well as shear stress values depending on the soil particle distribution. These processes are innovative, physically based, and both the measured and the computed results fit reliably.
ISSN:1801-5395
1805-9384
DOI:10.17221/133/2016-SWR