scholarly journals Calibration of a frequency-domain reflectometer for determining soil-water content in a clay loam soil

Water SA ◽  
2007 ◽  
Vol 32 (1) ◽  
Author(s):  
R Tsheko ◽  
MJ Savage
Keyword(s):  
Water Content ◽  
Frequency Domain ◽  
Soil Water ◽  
Soil Water Content ◽  
Clay Loam ◽  
Clay Loam Soil ◽  
Loam Soil

Factory-Calibrated Soil Water Sensor Performance Using Multiple Installation Orientations and Depths

2020 ◽  
Vol 36 (1) ◽  
pp. 39-54
Author(s):  
Gary W. Marek ◽  
Thomas H. Marek ◽  
Kevin R. Heflin ◽  
Dana O. Porter ◽  
Jerry E. Moorhead ◽  
...  
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Irrigation Management ◽  
Soil Water Potential ◽  
Water Storage ◽  
Clay Loam ◽  
Clay Loam Soil ◽  
Neutron Moisture ◽  
Loam Soil

Abstract. The use of soil water sensors is commonly advocated to aid and improve irrigation management in crop production systems. However, there are concerns about how sensor type, installation technique, sensor orientation, and soil texture may affect sensor accuracy. A field study was conducted to compare the performance of three commercially available soil water sensors (Acclima 315L, Decagon GS1, and Campbell Scientific 655) and a soil water potential sensor (Watermark 200SS) using different installation orientations of horizontal insertion, laid horizontal placement, and vertical insertion at depths of 15, 46, and 76 cm (6, 18, and 30 in.) in an irrigated clay loam soil field. Results indicated all sensors demonstrated similar trends of soil water content in response to wetting events (precipitation and irrigation) at the 15 cm depth following a 4-month settling period prior from the start of the growing season. Comparatively, the Acclima 315L performed well using horizontal insertion compared to calibrated neutron moisture meters (NMMs) at depths of 46 and 76 cm with R2 of 0.73 and 0.96 and slopes of 1.36 and 1.47, respectively. In addition, water storage in the 0.9 m soil profile integrated using the horizontally inserted Acclima 315L across the three depths matched closely with profile water storage determined by the NMMs with a mean difference (MD) and root mean square error (RMSE) of 25.7 and 36.4 mm. However, site-specific corrections or calibrations for each sensor type are required for accurate soil water content estimations with this clay loam soil for irrigation management applications. Keywords: Corn, Irrigation management, Neutron moisture meter, Soil water content, Soil water sensors, Semi-arid region.

WATER CONTENT AND SOIL CORE VOLUME ON BROOKSTON CLAY LOAM

1990 ◽  
Vol 70 (2) ◽  
pp. 255-258 ◽  
Author(s):  
J. A. STONE ◽  
K. C. WIRES
Keyword(s):  
Water Content ◽  
Bulk Density ◽  
Soil Water ◽  
Soil Water Content ◽  
Total Porosity ◽  
Soil Core ◽  
Clay Loam ◽  
Loam Soil ◽  
Core Volume

Soil core volumes, from a long-term fertility experiment on Brookston clay loam, were adjusted for soil water content at sampling to explain large year-to-year fluctuations in bulk density and porosity. Adjusting the long-term soil core data decreased values of bulk density, total porosity, and air-filled porosity and reduced the variation between years. However, the year-to-year variation remained highly significant. Year-to-year fluctuations in bulk density and porosity on Brookston clay loam soil do not appear to be solely the result of changes in soil volume due to differences in soil water content at the time of sampling. Key words: Shrinkage, bulk density, porosity

Modelling soil water dynamics and crop water use in a soybean-wheat rotation under chisel tillage in a sandy clay loam soil

Geoderma ◽  
2018 ◽  
Vol 327 ◽  
pp. 13-24 ◽  
Author(s):  
Mukhtar Ahmad ◽  
Debashis Chakraborty ◽  
Pramila Aggarwal ◽  
Ranjan Bhattacharyya ◽  
Ravender Singh
Keyword(s):  
Soil Water ◽  
Water Use ◽  
Water Dynamics ◽  
Clay Loam ◽  
Crop Water ◽  
Soil Water Dynamics ◽  
Clay Loam Soil ◽  
Sandy Clay Loam ◽  
Crop Water Use ◽  
Loam Soil

scholarly journals Short, Multineedle Frequency Domain Reflectometry Sensor Suitable for Measuring Soil Water Content

2012 ◽  
Vol 76 (6) ◽  
pp. 1929-1937 ◽  
Author(s):  
Jinghui Xu ◽  
Xiaoyi Ma ◽  
Sally D. Logsdon ◽  
Robert Horton
Keyword(s):  
Water Content ◽  
Frequency Domain ◽  
Soil Water ◽  
Soil Water Content ◽  
Frequency Domain Reflectometry

Time series outlier and intervention analysis: Irrigation management influences on soil water content in silty loam soil

2012 ◽  
Vol 111 ◽  
pp. 105-114 ◽  
Author(s):  
Basem Aljoumani ◽  
Jose A. Sànchez-Espigares ◽  
Nuria Cañameras ◽  
Ramon Josa ◽  
Joaquim Monserrat
Keyword(s):  
Time Series ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Irrigation Management ◽  
Intervention Analysis ◽  
Silty Loam ◽  
Loam Soil

HYDRUS (2d/3d) simulation of water flow through sandy loam soil under potato cultivation in Southern Manitoba

2017 ◽  
pp. 1.9-1.19 ◽  
Author(s):  
Afua Mante ◽  
Ramanathan Sri Ranjan
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Water Flow ◽  
Sandy Loam ◽  
Crop Evapotranspiration ◽  
Reference Crop Evapotranspiration ◽  
Loam Soil ◽  
Flow Through ◽  
Reference Crop

The HYDRUS (2D/3D) modeling tool was used to simulate water flow through subsurface-drained sandy loam soil under potato (Solanum tuberosum) cultivation in Southern Manitoba. The model was used to simulate water flow through a 2-D model domain of dimensions, 15 m width × 2.5 m depth. The model was calibrated and validated with field data measured during the growing season of year 2011 at the Hespler Farms, Winkler, Manitoba. Field measurements, including soil water content and watertable depth, for two test plots under subsurface free drainage were used for the calibration and validation. Weather data were also obtained to estimate reference crop evapotranspiration, which was used as input data in the model. Based on the reference crop evapotranspiration, and crop coefficient of the potato crop, the actual crop evapotranspiration was estimated and compared to the simulated actual crop evapotranspiration results. The results showed that the model was able to account for 50% to 78% of the variation in the estimated actual crop evapotranspiration. With respect to water flow through the soil, the observed soil water content and the simulated soil water content were compared using graphical and quantitative analysis. Based on the coefficient of determination (R2), the model accounted for 68% to 89% variation in the observed data. The intercept of the regression line varied from 0.01 to 0.08, and the slope, 0.75 to 0.99. The Nash–Sutcliffe modeling efficiency coefficient (NSE) varied from 0.62-0.89, the Percent bias (PBIAS) values varied from -1.99% to 1.16%. The root mean square error-observations standard deviation ratio (RSR) values varied from 0.33 to 0.61. The values for the evaluation parameters show that the model was able to simulate the water flow through the soil profile reasonably well.

Fly ash influence on near-surface temperature of a clay loam soil

1998 ◽  
Vol 78 (2) ◽  
pp. 345-350 ◽  
Author(s):  
A. M Hammermeister ◽  
D. S. Chanasyk ◽  
M. A. Naeth
Keyword(s):  
Particle Size ◽  
Heat Capacity ◽  
Fly Ash ◽  
Particle Size Distribution ◽  
Soil Temperature ◽  
Water Content ◽  
Bulk Density ◽  
Clay Loam ◽  
Clay Loam Soil ◽  
Loam Soil

It has been suggested that fly ash, when applied as a soil amendment, would increase soil temperature. However, no quantitative data have been provided to support this hypothesis. This hypothesis was tested on four fly ash treatments (0, 100, 200, and 400 t ha−1) applied to clay loam soil in a randomized block design. Bi-hourly soil temperatures were measured on 3 summer days over 2 yr, and afternoon temperatures were measured on randomly selected spring days at 5-, 10-, and 20-cm depths in the four fly ash treatments. Temperatures were measured in conjunction with surface bulk density, water content, and particle size distribution which were also used to calculate thermal heat capacity. Fly ash decreased percent clay, soil water content, and soil heat capacity. Contrary to previously expected trends, fly ash amendment did not significantly increase mean daily soil temperature under dry conditions. Generalizations in the literature regarding the influence of fly ash on soil temperature, bulk density, and water-holding capacity must be considered carefully since they generally relate only to coarse to medium textured soils. Key words: Soil amendments, bulk density, reclamation, heat capacity, thermal diffusivity, thermal conductivity, volumetric water content, particle size distribution

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