Modeling of Evaporation Reduction in Drip Irrigation System

Meshkat, Masoud; Warner, Richard C.; Workman, Stephen R.

doi:10.1061/(asce)0733-9437(1999)125:6(315)

Cited by 27 publications

(35 citation statements)

References 16 publications

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“…Numerical simulations are an efficient approach to investigate soil water dynamics for optimal irrigation management practices (Meshkat et al, 1999;Cote et al, 2003). Many studies have showed that numerically simulated soil water data agree with field data.…”

Section: Introductionmentioning

confidence: 99%

Modelling soil water balance and root water uptake in cotton grown under different soil conservation practices in the Indo-Gangetic Plain

Aggarwal

Bhattacharyya

Mishra

et al. 2017

Agriculture, Ecosystems & Environment

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A B S T R A C TAlthough soil conservation practices are being promoted as better environmental protection technologies than traditional farmers' practice, limited information is available on how these practices affect soil water balance and root water uptake. The root water uptake (RWU) patterns of cotton grown under soil conservation practices and soil water balance in cotton (Gossypium hirsutum L.) fieldsunder a cotton-wheat (Triticum aestivum L.) cropping system were analyzed using the Hydrus-2D model. The treatments were: conventional tillage (CT), zero tillage (ZT), permanent narrow beds (PNB), permanent broad beds (PBB), ZT with residue (ZT + R), PNB with residue (PNB + R) and PBB with residue (PBB + R). Results in the third year of the cotton crop indicated that the surface (0-15 cm layer) field saturated hydraulic conductivity in both PNB and PBB plots were similar and were significantly higher than in the ZT plots. Computed potential transpiration rates (T rp ) under CT were lower than in other treatments, due to less radiation interception and lower Leaf Area Index (LAI). Both PNB and PBB plots had higher T rp and crop yields than CT plots, which were further improved by residue retention. Predicted soil water content (SWC) patterns during the simulation periods of third and fourth years showed strong correlation (R 2 = 0.88, n = 105, P < 0.001, the root mean square error (RMSE) = 0.025, and the average relative error (AVE) = 7.5% for the third year and R 2 = 0.81, n = 105, P < 0.001, RMSE = 0.021, and AVE = 9% for the fourth year) with the actual field measured SWCs. Cumulative RWU (mm) were in the order: ZT (143) < CT (157) < PNB (163) < ZT + R (174) < PBB (188) < PNB + R (198) < PBB + R (226). Thus, PBB + R and PNB + R practices could be adopted for cotton cultivation, as these enhanced root growth and improved radiation interception and LAI. The Hydrus-2D model may be adopted for managing efficient water use, as it can simulate the temporal changes in SWC and actual transpiration rates of a crop/cropping system.

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Section: Introductionmentioning

confidence: 99%

Modelling soil water balance and root water uptake in cotton grown under different soil conservation practices in the Indo-Gangetic Plain

Aggarwal

Bhattacharyya

Mishra

et al. 2017

Agriculture, Ecosystems & Environment

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“…SEEP/W was also employed by Bussière et al (2003) to evaluate the behavior of inclined covers in the laboratory and field. Meshkat et al (1999) used SWMS_2D model to simulate infiltration, water redistribution and evaporation from a soil surface.…”

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confidence: 99%

Monitoring and Modeling of Sand-Bentonite Cover for ARD Mitigation

Qin

Yanful

2007

Water Air Soil Pollut

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This paper deals with field measurements and hydraulic, oxygen transport and geochemical speciation modeling undertaken to evaluate the performance of a sand-bentonite test cover overlying a 20% sloping waste rock platform. A pit run (gravelly sand) layer protected the sand-bentonite layer. The study site was the Whistle Mine near Capreol, Ontario, Canada. The purpose of the study was to evaluate a number of test covers and select a final cover for the decommissioning of 7 million tonnes of acid-generating waste rock at the site. The sand-bentonite test plot and a control plot consisting of waste rock without cover were monitored over 3 years for water content, suction, soil temperature, gaseous oxygen concentrations, and water percolation. Air temperature, rainfall, snow pack and potential evaporation were also monitored. Finite element modeling showed very good agreement between modeled and measured cumulative precipitation, daily potential evaporation and cumulative evaporation, and to a lesser extent, the cumulative water percolation through the test cover. Due to construction difficulties in the field, the back of the waste rock platform was not covered with the test cover. This resulted in oxygen ingress from the back side of the waste rock.Oxygen transport modeling showed that if the entire waste rock pile had been covered, the daily oxygen flux would have been reduced by 90% to only 0.003 g/m 2 /day. Such low oxygen flux would minimize sulphide oxidation and hence acid generation in the waste rock. Aqueous equilibrium speciation modeling suggested that the concentrations of sulphate SO 2À 4 À Á , iron (Fe), and aluminum (Al) in percolate water in contact with waste rock were controlled by secondary minerals such as gypsum, alunite, and ferrihydrite.

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“…Soil monolith with sand tube [from Meshkat et al , 1999] (reproduced by permission of ASCE). Dimensions are in centimeters.…”

Section: Application Of the Som‐mio To An Irrigation Experimentsmentioning

confidence: 99%

“…Whilst they applied a quadrilateral grid (Figure 4) with 1376 nodes and 1302 elements, we generated a triangular grid of 1282 nodes and 2443 elements with Meshgen, a supplementary tool of the Hydrus‐2D software. However, the number of grid points used in the actual simulation were comparable to the amount used by Meshkat et al [1999] since all quadrilateral grids are subdivided into triangles by the numerical flow model before performing the computation. Meshkat et al [1999] reported that the simulated values of the wetting front modeled with SWMS‐2D closely matched the experimental measurements.…”

Section: Application Of the Som‐mio To An Irrigation Experimentsmentioning

confidence: 99%

Self‐organizing maps with multiple input‐output option for modeling the Richards equation and its inverse solution

Schütze

Schmitz

Petersohn

2005

Water Resources Research

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[1] Inverse solutions of the Richards equation, either for evaluating soil hydraulic parameters from experimental data or for optimizing irrigation parameters, require considerable numerical effort. We present an alternative methodology based on self-organizing maps (SOM) which was further developed in order to include multiple input-output (MIO) relationships. The resulting SOM-MIO network approximates the Richards equation and its inverse solution with an outstanding accuracy, and both tasks can be performed by the same network. No additional training is required for solving the different tasks, which represents a significant advantage over conventional networks. An application of the SOM-MIO simulating a laboratory irrigation experiment in a Monte Carlo-based framework shows a much improved computational efficiency compared to the used numerical simulation model. The high consistency of the results predicted by the artificial neural network and by the numerical model demonstrates the excellent suitability of the SOM-MIO for dealing with such kinds of stochastic simulation or for solving inverse problems.

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Modeling of Evaporation Reduction in Drip Irrigation System

Cited by 27 publications

References 16 publications

Modelling soil water balance and root water uptake in cotton grown under different soil conservation practices in the Indo-Gangetic Plain

Modelling soil water balance and root water uptake in cotton grown under different soil conservation practices in the Indo-Gangetic Plain

Monitoring and Modeling of Sand-Bentonite Cover for ARD Mitigation

Self‐organizing maps with multiple input‐output option for modeling the Richards equation and its inverse solution

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