Neuro-Drip: estimation of subsurface wetting patterns for drip irrigation using neural networks

Hinnell, A. C.; Lazarovitch, Naftali; Furman, Alex; Poulton, Mary M.; Warrick, A. W.

doi:10.1007/s00271-010-0214-8

Cited by 65 publications

(27 citation statements)

References 34 publications

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“…HYDRUS has also been used to verify various analytical and empirical models for estimating the position of a wetting front with time, which is useful for designing or operating drip irrigation systems (Cook et al, 2006; Warrick and Lazarovitch, 2007; Lazarovitch et al, 2009a; Hinnell et al, 2010; Kandelous and Šimůnek, 2010). The effects of emitter rate, pulsing, and antecedent water content on water distribution patterns were studied by Skaggs et al (2010).…”

Section: Selected Hydrus Applicationsmentioning

confidence: 99%

Recent Developments and Applications of the HYDRUS Computer Software Packages

Šimůnek

Genuchten

Šejna³

2016

Vadose Zone Journal

720

336

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The HYDRUS-1D and HYDRUS (2D/3D) computer software packages are widely used finite-element models for simulating the one-and two-or three-dimensional movement of water, heat, and multiple solutes in variably saturated media, respectively. In 2008, Šimůnek et al. (2008b) described the entire history of the development of the various HYDRUS programs and related models and tools such as STANMOD, RETC, ROSETTA, UNSODA, UNSATCHEM, HP1, and others. The objective of this manuscript is to review selected capabilities of HYDRUS that have been implemented since 2008. Our review is not limited to listing additional processes that were implemented in the standard computational modules, but also describes many new standard and nonstandard specialized add-on modules that significantly expanded the capabilities of the two software packages. We also review additional capabilities that have been incorporated into the graphical user interface (GUI) that supports the use of HYDRUS (2D/3D). Another objective of this manuscript is to review selected applications of the HYDRUS models such as evaluation of various irrigation schemes, evaluation of the effects of plant water uptake on groundwater recharge, assessing the transport of particle-like substances in the subsurface, and using the models in conjunction with various geophysical methods.Abbreviations: CRS, cosmic-ray sensing; EC, electrical conductivity; ERT, electrical resistivity tomography; FEM, finite element mesh; GPR, ground-penetrating radar; GUI, graphical user interface; TDT, time-domain transmissometry.The HYDRUS-1D and HYDRUS (2D/3D) software packages (Šimůnek et al., 2008b) are finite-element models for simulating the one-and two-or three-dimensional movement of water, heat, and multiple solutes in variably saturated media, respectively. The standard versions, as well as various specialized add-on modules, of the HYDRUS programs numerically solve the Richards equation for saturated-unsaturated water flow and convection-dispersion type equations for heat and solute transport. The flow equation incorporates a sink term to account for water uptake by plant roots as a function of water and salinity stress. Both compensated and uncompensated water uptake by roots can be considered. The heat transport equation considers movement by both conduction and convection with flowing water. The governing convection-dispersion solute transport equations are written in a relatively general form by including provisions for nonlinear, nonequilibrium reactions between the solid and liquid phases and linear equilibrium reactions between the liquid and gaseous phases. The transport models also account for convection and dispersion in the liquid phase as well as diffusion in the gas phase, thus permitting the models to simulate solute transport simultaneously in both the liquid and gaseous phases. Hence, both adsorbed and volatile solutes, such as pesticides and fumigants, can be considered.The solute transport equations further incorporate the effects of zero-order production, first-o...

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Section: Selected Hydrus Applicationsmentioning

confidence: 99%

Recent Developments and Applications of the HYDRUS Computer Software Packages

Šimůnek

Genuchten

Šejna³

2016

Vadose Zone Journal

720

336

View full text Add to dashboard Cite

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“…In areas where fertigation is applied, it is important to take into consideration the dripper discharge, the spacing between drippers, and soil hydraulic properties in order to achieve the optimal water content [26][27][28][29] and nitrogen availability [30] in the root zone.…”

Section: Introductionmentioning

confidence: 99%

Water and Nitrogen Productivity of Potato Growth in Desert Areas under Low-Discharge Drip Irrigation

Trifonov

Lazarovitch

Arye

2018

Water

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Narrow profit margins, resource conservation issues and environmental concerns are the main driving forces to improve fertilizer uptake, especially for potatoes. Potatoes are a high value crop with a shallow, inefficient root system and high fertilizer rate requirements. Of all essential nutrients, nitrogen (N) is often limiting to potato production. A major concern in potato production is to minimize N leaching from the root zone. Therefore, the main objective of this study was to examine the potato crop characteristics under drip irrigation with low-discharge (0.6 L h−1) and to determine the optimal combination of irrigation (40, 60, 80, and 100%) and fertigation (0, 50, and 100%) doses. In this study, the 80% (438.6 mm) irrigation dose and a 50% (50 mg N L−1) fertigation dose (W80%F50%) showed that these doses are sufficient for optimal potato yield (about 40 ton ha−1) in conjunction with water and fertilizer savings. Moreover, this treatment did not exhibit any qualitative changes in the potato tuber compared to the 100% treatments. When considering water productivity and yield, one may select a harsher irrigation regime if the available agricultural soils are not a limiting factor. Thus, higher yields can be obtained with lower irrigation and fertigation doses and a larger area.

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“…This is necessary if a more precise control of the distribution of water around the emitter of high performance irrigation systems, such as surface or subsurface drip irrigation systems, is of importance. Then classical DP would be hard to solve and even for NDP a low-dimensional representation of the spatial distribution of water in the soil is required (Hinnell et al 2010). In addition, the dimensionality of the decision space increases considerably if management of fertilization and leaching is considered at the same time.…”

Section: Policy Improvementmentioning

confidence: 99%

Novel simulation-based algorithms for optimal open-loop and closed-loop scheduling of deficit irrigation systems

Schütze

Paly

Shamir

2011

Journal of Hydroinformatics

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The scarcity of water compared with the abundance of land constitutes the main drawback within agricultural production. Besides the improvement of irrigation techniques a task of primary importance is solving the problem of intra-seasonal irrigation scheduling under limited seasonal water supply. An efficient scheduling algorithm has to take into account the crops' response to water stress at different stages throughout the growing season. Furthermore, for large-scale planning tools compact presentations of the relationship between irrigation practices and grain yield, such as crop water production functions, are often used which also rely on an optimal scheduling of the considered irrigation systems. In this study, two new optimization algorithms for single-crop intraseasonal scheduling of deficit irrigation systems are introduced which are able to operate with general crop growth simulation models. First, a tailored evolutionary optimization technique (EA) searches for optimal schedules over a whole growing season within an open-loop optimization framework. Second, a neuro-dynamic programming technique (NDP) is used for determining optimal irrigation policy. In this paper, different management schemes are considered and crop-yield functions generated with both the EA and the NDP optimization algorithms compared.

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Neuro-Drip: estimation of subsurface wetting patterns for drip irrigation using neural networks

Cited by 65 publications

References 34 publications

Recent Developments and Applications of the HYDRUS Computer Software Packages

Recent Developments and Applications of the HYDRUS Computer Software Packages

Water and Nitrogen Productivity of Potato Growth in Desert Areas under Low-Discharge Drip Irrigation

Novel simulation-based algorithms for optimal open-loop and closed-loop scheduling of deficit irrigation systems

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