Evaluating Soil Water Redistribution under Mobile Drip Irrigation, Low-Elevation Spray Application, and Low-Energy Precision Application Using HYDRUS

2021 ◽  
Vol 147 (6) ◽  
pp. 04021016
Author(s):  
Tobias E. Oker ◽  
Aleksey Y. Sheshukov ◽  
Jonathan Aguilar ◽  
Danny H. Rogers ◽  
Isaya Kisekka
2019 ◽  
Vol 39 (1) ◽  
pp. 55-64
Author(s):  
Francisco D. D. Arraes ◽  
Jarbas H. de Miranda ◽  
Sergio N. Duarte

2013 ◽  
Vol 68 (12) ◽  
pp. 2545-2551 ◽  
Author(s):  
Jidong Teng ◽  
Noriyuki Yasufuku ◽  
Qiang Liu ◽  
Shiyu Liu

Simulating the dynamics of soil water content and modeling soil water evaporation are critical for many environmental and agricultural strategies. The present study aims to develop an analytical solution to simulate soil water redistribution during the evaporation process. This analytical solution was derived utilizing an exponential function to describe the relation of hydraulic conductivity and water content on pressure head. The solution was obtained based on the initial condition of saturation and an exponential function to model the change of surface water content. Also, the evaporation experiments were conducted under a climate control apparatus to validate the theoretical development. Comparisons between the proposed analytical solution and experimental result are presented from the aspects of soil water redistribution, evaporative rate and cumulative evaporation. Their good agreement indicates that this analytical solution provides a reliable way to investigate the interaction of evaporation and soil water profile.


2005 ◽  
Vol 85 (2) ◽  
pp. 223-232 ◽  
Author(s):  
O. O. Akinremi ◽  
Y. W. Jame ◽  
C. A. Campbell ◽  
R. P. Zentner ◽  
C. Chang ◽  
...  

The ability to simulate the dynamics of soil nitrogen under field conditions will aid our understanding of the nitrogen cycle. Our objective was to test the water and solute components of LEACHMN using data obtained from a field lysimeter study conducted on a medium-textured soil in southwestern Saskatchewan, Canada. Our preliminary evaluation of LEACHMN showed that the retentivity and conductivity functions used in this model were not appropriate for our soil as the original model permitted water transmission through the soil profile too rapidly. We, therefore, incorporated the van Genuchten retentivity function into LEACHMN and used the same soil water retention data to generate the van Genuchten parameters. The modified model was able to reproduce changes in water and chloride concentration after minimal calibration. Overall, the value of 0.45 used for the pan coefficient for soil under fallow and 12 mm used for dispersivity produced a realistic estimation of changes in water and chloride within the soil in the 2 yr of the field experiment. The model reproduced soil water redistribution in a fallow system. There was a tendency to under-estimate soil water content during dry periods, mainly as a result of the model’s tendency to over-estimate evaporation. While the centre of mass of chloride was correctly estimated, the model under-estimated the maximum depth of chloride penetration due to a slight tendency to over-estimate evaporation. Based on our statistical and graphical evaluation of LEACHMN, the modified model is adequate for our subsequent nitrate leaching study. Key words: LEACHMN, lysimeter, dryland, water, chloride, nitrate


Agronomy ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 293
Author(s):  
Jifeng Zhang ◽  
Zhenhua Wang ◽  
Bihang Fan ◽  
Yusheng Hou ◽  
Yunqing Dou ◽  
...  

Xinjiang is one of the most prolific tomato-planting areas in China. Here, we carried out a two-year (2017–2018) field experiment in Xinjiang to study the effects of different nitrogen (N) application rates on the spatial distribution of water and salt in the root zone, as well as their impacts on the yield and quality of tomatoes under mulched drip irrigation. The ideal ranges of N application rates for tomato yield and quality were examined under different salinity levels. Results indicated that soil water content and salinity increased with soil depth. Soil water content was closely related to soil salinity but not to N. Among the tested application rates, tomato yield was highest under the medium-high N (225–300 kg/ha) and low salt (4 g/kg) treatment. Under the highest salt level (10 g/kg), the low nitrogen treatment (150 kg/ha) was better than the high N treatment (300 kg/ha) at boosting tomato yield. Moreover, we found that salinity had a stronger effect on tomato quality than N. Based on these results, we were able to recommend ideal ranges for N (155–201 kg/ha) and salt (3.56–5.59 g/kg) while both are present in the soil.


2013 ◽  
Vol 62 (3) ◽  
pp. 352-362 ◽  
Author(s):  
Tarek Selim ◽  
Ronny Berndtsson ◽  
Magnus Persson

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