Effect of tillage and water table control on evapotranspiration, surface runoff, tile drainage and soil water content under maize on a clay loam soil

2002 ◽  
Vol 54 (3) ◽  
pp. 173-188 ◽  
Author(s):  
C.S Tan ◽  
C.F Drury ◽  
J.D Gaynor ◽  
T.W Welacky ◽  
W.D Reynolds
2020 ◽  
Vol 36 (1) ◽  
pp. 39-54
Author(s):  
Gary W. Marek ◽  
Thomas H. Marek ◽  
Kevin R. Heflin ◽  
Dana O. Porter ◽  
Jerry E. Moorhead ◽  
...  

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.


2015 ◽  
Vol 44 (2) ◽  
pp. 572-584 ◽  
Author(s):  
T. Q. Zhang ◽  
C. S. Tan ◽  
Z. M. Zheng ◽  
T. W. Welacky ◽  
W. D. Reynolds

2018 ◽  
Vol 204 ◽  
pp. 212-221 ◽  
Author(s):  
Zhaozhi Wang ◽  
T.Q. Zhang ◽  
C.S. Tan ◽  
R.A.J. Taylor ◽  
X. Wang ◽  
...  

1990 ◽  
Vol 70 (2) ◽  
pp. 255-258 ◽  
Author(s):  
J. A. STONE ◽  
K. C. WIRES

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


2018 ◽  
Vol 229 (3) ◽  
Author(s):  
Faezeh Eslamian ◽  
Zhiming Qi ◽  
Michael J. Tate ◽  
Tiequan Zhang ◽  
Shiv O. Prasher

Geoderma ◽  
2018 ◽  
Vol 327 ◽  
pp. 13-24 ◽  
Author(s):  
Mukhtar Ahmad ◽  
Debashis Chakraborty ◽  
Pramila Aggarwal ◽  
Ranjan Bhattacharyya ◽  
Ravender Singh

2012 ◽  
Vol 111 ◽  
pp. 105-114 ◽  
Author(s):  
Basem Aljoumani ◽  
Jose A. Sànchez-Espigares ◽  
Nuria Cañameras ◽  
Ramon Josa ◽  
Joaquim Monserrat

2017 ◽  
pp. 1.9-1.19 ◽  
Author(s):  
Afua Mante ◽  
Ramanathan Sri Ranjan

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.


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