Agroforestry, grass, biofuel crop, and row‐crop management effects on soil water dynamics for claypan landscapes

2020 ◽  
Vol 84 (1) ◽  
pp. 203-219
Author(s):  
Salah M. Alagele ◽  
Stephen H. Anderson ◽  
Ranjith P. Udawatta
Keyword(s):  
Soil Water ◽  
Crop Management ◽  
Water Dynamics ◽  
Soil Water Dynamics ◽  
Biofuel Crop ◽  
Row Crop ◽  
Management Effects

Soil water dynamics under artificial Caragana microphylla shrub in the loess hilly region of Northwest Shanxi Province

2010 ◽  
Vol 18 (2) ◽  
pp. 352-355 ◽  
Author(s):  
Zhi-Pin YANG ◽  
Qiang ZHANG ◽  
Yong-Liang WANG ◽  
Jian-Jie ZHANG ◽  
Rui-Rui JI
Keyword(s):  
Soil Water ◽  
Water Dynamics ◽  
Shanxi Province ◽  
Soil Water Dynamics ◽  
Caragana Microphylla ◽  
Hilly Region ◽  
Loess Hilly Region

scholarly journals Testing the EPIC Richards submodel for simulating soil water dynamics under different bottom boundary conditions

2021 ◽  
Author(s):  
Matteo Longo ◽  
Curtis Dinnen Jones ◽  
Roberto César Izaurralde ◽  
Miguel L. Cabrera ◽  
Nicola Dal Ferro ◽  
...  
Keyword(s):  
Boundary Conditions ◽  
Soil Water ◽  
Water Dynamics ◽  
Soil Water Dynamics ◽  
Bottom Boundary

Numerical routine for soil water dynamics from trickle irrigation

2020 ◽  
Vol 83 ◽  
pp. 371-385 ◽  
Author(s):  
Ángel del Vigo ◽  
Sergio Zubelzu ◽  
Luis Juana
Keyword(s):  
Soil Water ◽  
Water Dynamics ◽  
Trickle Irrigation ◽  
Soil Water Dynamics

scholarly journals Analysis of Soil Water Response to Grass Transpiration

2013 ◽  
Vol 1 (No. 3) ◽  
pp. 85-98
Author(s):  
Dohnal Michal ◽  
Dušek Jaromír ◽  
Vogel Tomáš ◽  
Herza Jiří
Keyword(s):  
Soil Water ◽  
Water Uptake ◽  
Preferential Flow ◽  
Water Movement ◽  
Control Volume ◽  
Water Pressure ◽  
Lower Boundary ◽  
Root Water Uptake ◽  
Water Dynamics ◽  
Soil Water Dynamics

This paper focuses on numerical modelling of soil water movement in response to the root water uptake that is driven by transpiration. The flow of water in a lysimeter, installed at a grass covered hillslope site in a small headwater catchment, is analysed by means of numerical simulation. The lysimeter system provides a well defined control volume with boundary fluxes measured and soil water pressure continuously monitored. The evapotranspiration intensity is estimated by the Penman-Monteith method and compared with the measured lysimeter soil water loss and the simulated root water uptake. Variably saturated flow of water in the lysimeter is simulated using one-dimensional dual-permeability model based on the numerical solution of the Richards’ equation. The availability of water for the root water uptake is determined by the evaluation of the plant water stress function, integrated in the soil water flow model. Different lower boundary conditions are tested to compare the soil water dynamics inside and outside the lysimeter. Special attention is paid to the possible influence of the preferential flow effects on the lysimeter soil water balance. The adopted modelling approach provides a useful and flexible framework for numerical analysis of soil water dynamics in response to the plant transpiration.

Monitoring and modelling soil water dynamics using electromagnetic conductivity imaging and the ensemble Kalman filter

Geoderma ◽  
2017 ◽  
Vol 285 ◽  
pp. 76-93 ◽  
Author(s):  
Jingyi Huang ◽  
Alex B. McBratney ◽  
Budiman Minasny ◽  
John Triantafilis
Keyword(s):  
Kalman Filter ◽  
Soil Water ◽  
Ensemble Kalman Filter ◽  
Water Dynamics ◽  
Soil Water Dynamics ◽  
Conductivity Imaging

SIMULATION OF SOIL WATER DYNAMICS IN LAYERED SOILS

Soil Science ◽  
1977 ◽  
Vol 123 (1) ◽  
pp. 54-62 ◽  
Author(s):  
D. HILLEL ◽  
H. TALPAZ
Keyword(s):  
Soil Water ◽  
Water Dynamics ◽  
Layered Soils ◽  
Soil Water Dynamics

Tillage and Cover Crop Management Effects on Soil Water and Corn Yield

1991 ◽  
Vol 55 (4) ◽  
pp. 1081-1085 ◽  
Author(s):  
R. P. Ewing ◽  
M. G. Wagger ◽  
H. P. Denton
Keyword(s):  
Soil Water ◽  
Cover Crop ◽  
Crop Management ◽  
Corn Yield ◽  
Management Effects

Soil water dynamics after fire in a Portuguese shrubland

2006 ◽  
Vol 15 (1) ◽  
pp. 99 ◽  
Author(s):  
Joaquim S. Silva ◽  
Francisco C. Rego ◽  
Stefano Mazzoleni
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Plant Community ◽  
Root Distribution ◽  
Control Plot ◽  
The Other ◽  
Water Dynamics ◽  
Soil Water Dynamics ◽  
Surface Layers ◽  
Before And After

This paper presents a study where soil water content (SW) was measured before and after an experimental fire in a shrubland dominated by Erica scoparia L. in Portugal. Two plots were established: one was kept as a control plot and the other was burned by an experimental fire in June 2001. Measurements were taken before fire (2000), and after fire (2001, 2002, and 2003) at six depths down to 170 cm, from June to December. Measurements before fire allowed comparison of the two plots in terms of the SW differential, using 2000 as a reference. Results for 2001 showed that SW decreased less during the drying season (June–September) and increased more during the wetting season (October–December) in the burned plot than in the control plot. The magnitude of these effects decreased consistently in 2002 and 2003, especially at surface layers. The maximum gain of SW for the total profile in the burned plot was estimated as 105.5 mm in 2001, 70.2 mm in 2002, and 35.6 mm in 2003. The present paper discusses the mechanisms responsible for the increase in SW taking into account the characteristics of the plant community, including the root distribution, and the results of other studies.

A laboratory study of the effect of soil-water dynamics on the migration of gases from subsurface sources

2021 ◽  
Author(s):  
Ana M. C. Ilie ◽  
Tissa H. Illangasekare ◽  
Kenichi Soga ◽  
William R. Whalley
Keyword(s):  
Soil Moisture ◽  
Soil Water ◽  
Sandy Soil ◽  
Land Surface ◽  
Soil Gas ◽  
Water Dynamics ◽  
Gas Migration ◽  
Soil Water Dynamics ◽  
Scale Test ◽  
Properties Of Soil

<p>Understanding the soil-gas migration in unsaturated soil is important in a number of problems that include carbon loading to the atmosphere from the bio-geochemical activity and leakage of gases from subsurface sources from carbon storage unconventional energy development. The soil water dynamics in the vadose zone control the soil-gas pathway development and, hence, the gas flux's spatial and temporal distribution at the soil surface. The spatial distribution of soil-water content depends on soil water characteristics. The dynamics are controlled by the water flux at the land surface and water table fluctuations. Physical properties of soil give a better understanding of the soil gas dynamics and migration from greater soil depths. The fundamental process of soil gas migration under dynamic water content was investigated in the laboratory using an intermediate-scale test system under controlled conditions that is not possible in the field. The experiments focus on observing the methane gas migration in relation to the physical properties of soil and the soil moisture patterns. A 2D soil tank with dimensions of 60 cm × 90 cm × 5.6 cm (height × length × width) was used.  The tank was heterogeneously packed with sandy soil along with a distributed network of soil moisture, temperature, and electrical conductivity sensors. The heterogeneous soil configuration was designed using nine uniform silica sands with the effective sieve numbers #16, #70, #8, #40/50, #110, #30/40, #50, and #20/30 (Accusands, Unimin Corp., Ottawa, MN), and a porosity ranging in values from 0.31 to 0.42. Four methane infrared gas sensors and a Flame Ionization detector (HFR400 Fast FID) were used for the soil gas sampling at different depths within the soil profiles and at the land surface.  A complex transient soil moisture distribution and soil gas migration patterns were observed in the 2D tank. These processes were successfully captured by the sensors. These preliminary experiments helped us to understand the mechanism of soil moisture sensor response and methane gas migration into a heterogeneous sandy soil with a view to developing a large-scale test in a 3D tank (4.87 m × 2.44 m × 0.40 m) and finally transition to field deployment.</p>

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