Diurnal soil water dynamics in the shallow vadose zone (field site of China University of Geosciences, China)

2008 ◽  
Vol 58 (1) ◽  
pp. 11-23 ◽  
Author(s):  
Yijian Zeng ◽  
Li Wan ◽  
Zhongbo Su ◽  
Hirotaka Saito ◽  
Kangle Huang ◽  
...  
Keyword(s):  
Soil Water ◽  
Vadose Zone ◽  
Water Dynamics ◽  
Field Site ◽  
Soil Water Dynamics ◽  
Zone Field

scholarly journals Using High-Resolution Soil Moisture Data to Assess Soil Water Dynamics in the Vadose Zone

2004 ◽  
Vol 3 (4) ◽  
pp. 1491-1491
Author(s):  
James L. Starr ◽  
Dennis J. Timlin
Keyword(s):  
Soil Moisture ◽  
High Resolution ◽  
Soil Water ◽  
Vadose Zone ◽  
Water Dynamics ◽  
Soil Water Dynamics ◽  
Soil Moisture Data

scholarly journals Using High-Resolution Soil Moisture Data to Assess Soil Water Dynamics in the Vadose Zone

2004 ◽  
Vol 3 (4) ◽  
pp. 1491-1491 ◽  
Author(s):  
J. L. Starr ◽  
D. J. Timlin
Keyword(s):  
Soil Moisture ◽  
High Resolution ◽  
Soil Water ◽  
Vadose Zone ◽  
Water Dynamics ◽  
Soil Water Dynamics ◽  
Soil Moisture Data

scholarly journals Using High-Resolution Soil Moisture Data to Assess Soil Water Dynamics in the Vadose Zone

2004 ◽  
Vol 3 (3) ◽  
pp. 926-935 ◽  
Author(s):  
James L. Starr ◽  
Dennis J. Timlin
Keyword(s):  
Soil Moisture ◽  
High Resolution ◽  
Soil Water ◽  
Vadose Zone ◽  
Water Dynamics ◽  
Soil Water Dynamics ◽  
Soil Moisture Data

Water dynamics and groundwater recharge in a deep vadose zone

2015 ◽  
Vol 16 (3) ◽  
pp. 579-586 ◽  
Author(s):  
Zhaoqiang Ju ◽  
Xiaoxin Li ◽  
Chunsheng Hu
Keyword(s):  
Groundwater Recharge ◽  
Soil Water ◽  
Vadose Zone ◽  
Groundwater Resources ◽  
Time Lag ◽  
Water Dynamics ◽  
Soil Water Dynamics ◽  
Pressure Transducers ◽  
The North ◽  
Transient Data

Understanding soil water dynamics and accurately estimating groundwater recharge are essential steps in achieving efficient and sustainable management of groundwater resources in regions with deep vadose zones. The objective of this study was to understand transient data and the dynamics nature of water from deep sections at the thick vadose zone, and to estimate groundwater recharge by applying Darcy's law of unsaturated water fluxes. The study was conducted during year 2009–2013 at Luancheng Agro-ecosystem Experimental Station of Chinese Academy of Sciences, which is located in the North China Plain. The water contents were measured with water probes and matric suctions using pressure transducers at depths of 9 and 11 m and were combined with laboratory measurements of unsaturated hydraulic conductivity to estimate groundwater recharge. The results indicated that the soil water content at 9- and 11-m depths increased following the rainy season and then gradually stabilized. And the intensity and continuity of precipitation events played an important role in soil water changes. The soil water dynamics between different depths (9 and 11 m) indicated a time lag (approximately 5–11 days). The groundwater recharge ranged from 7.60 to 19.75 mm resulting from hysteresis over the study period.

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

Plant growth, biomass production and soil water dynamics in a shifting dune of Indian desert

2002 ◽  
Vol 171 (3) ◽  
pp. 309-320 ◽  
Author(s):  
G Singh ◽  
T.R Rathod
Keyword(s):  
Plant Growth ◽  
Soil Water ◽  
Biomass Production ◽  
Water Dynamics ◽  
Soil Water Dynamics ◽  
Indian Desert

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
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