In-Situ Soil-Water Retention and Field Water Capacity Measurements in Two Contrasting Soil Textures

2008 ◽  
Author(s):  
Jay D Jabro ◽  
Robert G Evans ◽  
Yunseup Kim ◽  
William M Iversen
Keyword(s):  
Soil Water ◽  
Water Retention ◽  
Soil Water Retention ◽  
Water Capacity

Estimating in situ soil–water retention and field water capacity in two contrasting soil textures

2008 ◽  
Vol 27 (3) ◽  
pp. 223-229 ◽  
Author(s):  
J. D. Jabro ◽  
R. G. Evans ◽  
Y. Kim ◽  
W. M. Iversen
Keyword(s):  
Soil Water ◽  
Water Retention ◽  
Soil Water Retention ◽  
Water Capacity

scholarly journals Estimating Soil Water Retention Curve by Inverse Modelling from Combination of In Situ Dynamic Soil Water Content and Soil Potential Data

Soil Systems ◽  
2018 ◽  
Vol 2 (4) ◽  
pp. 55 ◽  
Author(s):  
Pinnara Ket ◽  
Chantha Oeurng ◽  
Aurore Degré
Keyword(s):  
Soil Moisture ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Water Retention ◽  
Inverse Modelling ◽  
Soil Water Retention ◽  
Moisture Dynamics ◽  
Hydrus 1D

Soil water retention curves (SWRCs) are crucial for characterizing soil moisture dynamics, and are particularly relevant in the context of irrigation management. Inverse modelling is one of the methods used to parameterize models representing these curves, which are closest to the field reality. The objective of this study is to estimate the soil hydraulic properties through inverse modelling using the HYDRUS-1D code based on soil moisture and potential data acquired in the field. The in situ SWRCs acquired every 30 min are based on simultaneous soil water content and soil water potential measurements with 10HS and MPS-2 sensors, respectively, in five experimental fields. The fields were planted with drip-irrigated lettuces from February to March 2016 in the Chrey Bak catchment located in the Tonlé Sap Lake region, Cambodia. After calibration of the van Genuchten soil water retention model parameters, we used them to evaluate the performance of HYDRUS-1D to predict soil moisture dynamics in the studied fields. Water flow was reasonably well reproduced in all sites covering a range of soil types (loamy sand and loamy soil) with root mean square errors ranging from 0.02 to 0.03 cm3 cm−3.

scholarly journals Is Better Minimum than Standard Mouldboard Ploughing Tillage from Viewpoint of the Pore-Size Distribution and Soil Water Retention Characteristic Changes ?

2016 ◽  
Vol 49 (3) ◽  
pp. 17-26
Author(s):  
V. Šimanský ◽  
N. Polláková ◽  
J. Jonczak
Keyword(s):  
Pore Size ◽  
Soil Water ◽  
Water Retention ◽  
Capillary Rise ◽  
Soil Tillage ◽  
Soil Types ◽  
Capillary Water ◽  
Soil Water Retention ◽  
Tillage Systems ◽  
Water Capacity

Abstract At present time exists a lot of soil tillage practices with different effects on soil productivity, therefore the effects of two tillage systems (conventional: CT, and miminum: MT) and two different soil types (Chernozem and Mollic Fluvisol) on soil physical quality indicators and water availability were evaluated in an on-farm study in the Krakovany (Danube Lowland, Slovakia). We evaluated pore-size distributions and selected hydro-physical properties (capillary rise, maximum capillary water capacity and retention water capacity). The total porosity (P) on average by 23% and by 14%, non-capillary pores (Pn) by 271% and by 114% and semicapillary pores by 102% and by 192% were significantly greater for CT than MT in Chernozem and in Mollic Fluvisol, respectively. The content of capillary pores (Pc) was significantly greater for MT than CT on average by 13% and 8% in Chernozem and in Mollic Fluvisol, respectively. The average content of capillary rise (ΘCR), maximum capillary water capacity (ΘMCWC) and retention water capacity (ΘRWC) were higher by 6, 10 and 13% under MT than CT in soil profile of Chernozem. The same effect of soil tillage systems in Mollic Fluvisol was not observed. In Chernozem under MT with increased P, ΘCR significantly increased, however, under CT, the ΘCR significantly decreased. At the same time we determined negative correlations between Pn and soil water retention characteristics under CT. Higher content of Pc resulted in higher values of capillary rise, maximum capillary water capacity and retention water capacity in both soil types under both tillage systems.

scholarly journals A new technique for deep in situ measurements of soil water retention behaviour

2018 ◽  
Vol 5 (1) ◽  
pp. 3-12 ◽  
Author(s):  
Irene Rocchi ◽  
Carmine Gerardo Gragnano ◽  
Laura Govoni ◽  
Alessio Mentani ◽  
Marco Bittelli ◽  
...  
Keyword(s):  
Soil Water ◽  
Water Retention ◽  
In Situ Measurements ◽  
New Technique ◽  
Soil Water Retention ◽  
Retention Behaviour ◽  
A New Technique ◽  
Water Retention Behaviour

scholarly journals In-Situ Estimation of Soil Water Retention Curve in Silt Loam and Loamy Sand Soils at Different Soil Depths

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 447
Author(s):  
Reem Zeitoun ◽  
Mark Vandergeest ◽  
Hiteshkumar Bhogilal Vasava ◽  
Pedro Vitor Ferrari Machado ◽  
Sean Jordan ◽  
...  
Keyword(s):  
Water Potential ◽  
Soil Water ◽  
Water Retention ◽  
Laboratory Data ◽  
Parametric Models ◽  
Water Retention Curve ◽  
Soil Water Retention Curve ◽  
Soil Water Retention ◽  
Retention Curve

The soil water retention curve (SWRC) shows the relationship between soil water (θ) and water potential (ψ) and provides fundamental information for quantifying and modeling soil water entry, storage, flow, and groundwater recharge processes. While traditionally it is measured in a laboratory through cumbersome and time-intensive methods, soil sensors measuring in-situ θ and ψ show strong potential to estimate in-situ SWRC. The objective of this study was to estimate in-situ SWRC at different depths under two different soil types by integrating measured θ and ψ using two commercial sensors: time-domain reflectometer (TDR) and dielectric field water potential (e.g., MPS-6) principles. Parametric models were used to quantify θ—ψ relationships at various depths and were compared to laboratory-measured SWRC. The results of the study show that combining TDR and MPS-6 sensors can be used to estimate plant-available water and SWRC, with a mean difference of −0.03 to 0.23 m3m−3 between the modeled data and laboratory data, which could be caused by the sensors’ lack of site-specific calibration or possible air entrapment of field soil. However, consistent trends (with magnitude differences) indicated the potential to use these sensors in estimating in-situ and dynamic SWRC at depths and provided a way forward in overcoming resource-intensive laboratory measurements.

Long-term influence of compost on available water capacity of a fine sandy loam in a potato rotation

2007 ◽  
Vol 87 (5) ◽  
pp. 535-539 ◽  
Author(s):  
M R Carter
Keyword(s):  
Soil Water ◽  
Water Retention ◽  
Sandy Loam ◽  
Soil Water Retention ◽  
Matric Potential ◽  
Water Capacity ◽  
Available Water ◽  
Available Water Capacity ◽  
Potato Rotation

An improved soil physical structure, associated with organic amendments in crop rotations, can be viewed as an emergent property. A study was conducted to evaluate the effect of applied compost on soil water retention and available water capacity, and other associative soil properties in a long-term 3-yr potato rotation established on a Charlottetown fine sandy loam (Orthic Humo-Ferric Podzol) in Prince Edward Island. Soil samples (0–10 cm) were obtained from two crop phases (barley and potato) during the fourth cycle of the rotation (after four compost applications) in the 12th year of the experiment. Except for particulate N, compost had little effect on soil organic matter. In comparison to the barley phase, a combination of compost and surface tillage in the potato phase was associated with improved soil porosity parameters and increased soil water contents at −33 kPa (“field capacity” ), −100 and −300 kPa matric potential, compared with the no-compost control. These results indicate that compost stabilized the tillage induced soil aggregates and macro-porosity in the potato phase. Regression analysis showed that soil volumetric water content at both −33 and −1500 kPa matric potential was significantly related to soil C concentration, although the soil available water capacity remained unchanged. The results imply that the “non-nutrient” compost effect on potato productivity was related to soil water retention. Key words: Soil water retention, soil physical and biochemical properties, compost amendment, tillage, potato rotation, eastern Canada

INFLUENCE OF SOIL MATRIX ON SOIL-WATER RETENTION CURVE AND HYDRAULIC CHARACTERISTICS

2017 ◽  
Vol 16 (4) ◽  
pp. 869-877
Author(s):  
Vasile Lucian Pavel ◽  
Florian Statescu ◽  
Dorin Cotiu.ca-Zauca ◽  
Gabriela Biali ◽  
Paula Cojocaru
Keyword(s):  
Soil Water ◽  
Water Retention ◽  
Water Retention Curve ◽  
Hydraulic Characteristics ◽  
Soil Water Retention Curve ◽  
Soil Water Retention ◽  
Soil Matrix ◽  
Retention Curve
Sign in / Sign up

Export Citation Format

Share Document