scholarly journals Joint Distributions of the Unsaturated Soil Hydraulic Parameters and their Effect on Other Variates

2004 ◽  
Vol 3 (4) ◽  
pp. 1492-1492 ◽  
Author(s):  
G. H. de Rooij ◽  
R. T. A. Kasteel ◽  
A. Papritz ◽  
H. Fluhler
Keyword(s):  
Unsaturated Soil ◽  
Hydraulic Parameters ◽  
Joint Distributions ◽  
Soil Hydraulic Parameters ◽  
Soil Hydraulic

Joint Distributions of the Unsaturated Soil Hydraulic Parameters and their Effect on Other Variates

2004 ◽  
Vol 3 (4) ◽  
pp. 1492-1492
Author(s):  
Gerrit H. de Rooij ◽  
Roy T. A. Kasteel ◽  
Andreas Papritz ◽  
Hannes Flühler
Keyword(s):  
Unsaturated Soil ◽  
Hydraulic Parameters ◽  
Joint Distributions ◽  
Soil Hydraulic Parameters ◽  
Soil Hydraulic

Joint Distributions of the Unsaturated Soil Hydraulic Parameters and their Effect on Other Variates

2004 ◽  
Vol 3 (3) ◽  
pp. 947-955 ◽  
Author(s):  
Gerrit H. de Rooij ◽  
Roy T. A. Kasteel ◽  
Andreas Papritz ◽  
Hannes Flühler
Keyword(s):  
Unsaturated Soil ◽  
Hydraulic Parameters ◽  
Joint Distributions ◽  
Soil Hydraulic Parameters ◽  
Soil Hydraulic

Use of Global Sensitivity Analysis to Help Assess Unsaturated Soil Hydraulic Parameters

2013 ◽  
Vol 12 (1) ◽  
pp. vzj2011.0150 ◽  
Author(s):  
A. Younes ◽  
T. A. Mara ◽  
N. Fajraoui ◽  
F. Lehmann ◽  
B. Belfort ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Unsaturated Soil ◽  
Global Sensitivity Analysis ◽  
Hydraulic Parameters ◽  
Global Sensitivity ◽  
Soil Hydraulic Parameters ◽  
Soil Hydraulic

Thermal, Moisture, and Solute Transport Responses Effects on Unsaturated Soil Hydraulic Parameters Estimation

2019 ◽  
Vol 55 (12) ◽  
pp. 11225-11249 ◽  
Author(s):  
Ernest Léontin Lemoubou ◽  
Hervé Thierry Tagne Kamdem ◽  
Jean Roger Bogning ◽  
Edouard Henri Zefack Tonnang
Keyword(s):  
Solute Transport ◽  
Unsaturated Soil ◽  
Parameters Estimation ◽  
Hydraulic Parameters ◽  
Soil Hydraulic Parameters ◽  
Soil Hydraulic

scholarly journals Evaluation and improvement of the default soil hydraulic parameters for the Noah Land Surface Model

Geoderma ◽  
2017 ◽  
Vol 285 ◽  
pp. 247-259 ◽  
Author(s):  
Andrea Sz. Kishné ◽  
Yohannes Tadesse Yimam ◽  
Cristine L.S. Morgan ◽  
Bright C. Dornblaser
Keyword(s):  
Land Surface ◽  
Land Surface Model ◽  
Surface Model ◽  
Hydraulic Parameters ◽  
Soil Hydraulic Parameters ◽  
Noah Land Surface Model ◽  
Soil Hydraulic

Exploring hydrological processes at a small agricultural catchment in the Czech Republic

2021 ◽  
Author(s):  
Tailin Li ◽  
Nina Noreika ◽  
Jakub Jeřábek ◽  
Tomáš Dostál ◽  
David Zumr
Keyword(s):  
Soil Moisture ◽  
Soil Water ◽  
Hydrological Processes ◽  
Hydraulic Parameters ◽  
Rainfall Runoff ◽  
The Czech Republic ◽  
Mike She ◽  
Stream Discharge ◽  
Soil Hydraulic Parameters ◽  
Soil Hydraulic

<p>A better understanding of hydrological processes in agricultural catchments is not only crucial to hydrologists but also helpful for local farmers. Therefore, we have built the freely-available web-based WALNUD dataset (Water in Agricultural Landscape – NUčice Database) for our experimental catchment Nučice (0.53 km<sup>2</sup>), the Czech Republic. We have included observed precipitation, air temperature, stream discharge, and soil moisture in the dataset. Furthermore, we have applied numerical modelling techniques to investigate the hydrological processes (e.g. soil moisture variability, water balance) at the experimental catchment using the dataset.</p><p>The Nučice catchment, established in 2011, serves for the observation of rainfall-runoff processes, soil erosion and water balance of the cultivated landscape. The average altitude is 401 m a.s.l., the mean land slope is 3.9 %, and the climate is humid continental (mean annual temperature 7.9 °C, average annual precipitation 630 mm). The catchment consists of three fields covering over 95 % of the area. There is a narrow stream which begins as a subsurface drainage pipe in the uppermost field draining the water at catchment. The typical crops are winter wheat, rapeseed, mustard and alfalfa. The installed equipment includes a standard meteorological station, several rain gauges distributed in the area of the basin, and an H flume to monitor the stream discharge, water turbidity and basic water quality indicators. The soil water content (at point scale) and groundwater level are also recorded. Recently, we have installed two cosmic-ray soil moisture sensors (StyX Neutronica) to estimate large-scale topsoil water content at the catchment.</p><p>Even though the soil management and soil properties in the fields of Nučice seem to be nearly homogeneous, we have observed variability in the topsoil moisture pattern. The method for the explanation of the soil water regime was the combination of the connectivity indices and numerical modelling. The soil moisture profiles from the point-scale sensors were processed in a 1-D physically-based soil water model (HYDRUS-1D) to optimize the soil hydraulic parameters. Further, the soil hydraulic parameters were used as input into a 3D spatially-distributed model, MIKE-SHE. The MIKE-SHE simulation has been mainly calibrated with rainfall-runoff observations. Meanwhile, the spatial patterns of the soil moisture were assessed from the simulation for both dry and wet catchment conditions. From the MIKE-SHE simulation, the optimized soil hydraulic parameters have improved the estimation of soil moisture dynamics and runoff generation. Also, the correlation between the observed and simulated soil moisture spatial patterns showed different behaviors during the dry and wet catchment conditions.</p><p>This study has been supported by the Grant Agency of the Czech Technical University in Prague, grant No. SGS20/156/OHK1/3T/11 and the Project SHui which is co-funded by the European Union Project: 773903 and the Chinese MOST.</p>

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