Dynamic Programming Model for the System of a Non-Uniform Deficit Irrigation and a Reservoir

Banihabib, Mohammad Ebrahim; Zahraei, Ali; Eslamian, Saeid

doi:10.1002/ird.2055

Cited by 6 publications

(5 citation statements)

References 25 publications

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“…The proposals to save water look erroneous, although at first glance attractive, aimed at reducing water supply to plants in the final stage of organogenesis, without changing the method of watering (Banihabib, 2017). The most influential factor is not water saving, but placing the organogenesis of plants in the stress zone.…”

Section: Advances In Engineering Research Volume 151mentioning

confidence: 99%

Intra-Soil Pulse Continuum-Discrete Moistening for Soil and Water Preservation

Batukaev¹,

Kalinichenko²,

Rykhlik³

et al. 2018

International Scientific and Practical Conference "AgroSMART - Smart Solutions for Agriculture" (AgroSMART 2018)

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outdated technologies prevent the civilization from its development in the context of globalization. There is a preventing factor to apply the nature-resembling technologies that is a generally accepted simulation frontal gravity continuumisotropic paradigm of irrigation and drainage, which causes soil destruction and loss of fresh water. The work presents the results of a model experiment carried out in the framework of an innovative scientific and technical approach known as Biogeosystem Technique applied for the empirical demonstration of soil and water conservation opportunities provided by the intra-soil pulse continuum-discrete moisture paradigm are presented. The model system is a vegetative plastic transparent cylinder 20 cm high with a diameter of 5 cm having the ordinary chernozem soil inside. This sample soil was previously grated and poured as a layer of 0-30 cm, with compaction approximate to the natural structure and density of soil. Then we simulated pulse continuum-discrete water flow inside the soil using the syringe of 20 ml and the medical spinal needle with a length of 12 cm. The experiment was carried out at the initial stage of spring-planted barley under natural insolation. We performed a surface irrigation, sprinkling, drip irrigation, and a new intra-soil pulse continuum-discrete method of soil moistening. After surface irrigation, sprinkling, drip irrigation we observed water seepage through the soil in the amount of 30-50 % of the given volume. After watering, we observed total subsidence of the surface, as well as the formation of crust on it. With the drip irrigation, there was also the surface subsidence and crust formation, but the processes were local taking place directly under the dropper. With pulsed intra-soil continuum-discrete moistening, the soil surface preserved its form as it had after filling the experimental model with soil, as the crust is not formed. The model system produced better developed barley plants with a new method of moistening, and the water consumption was 1.5-2.5 times less than with the standard methods of watering plants.

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Section: Advances In Engineering Research Volume 151mentioning

confidence: 99%

Intra-Soil Pulse Continuum-Discrete Moistening for Soil and Water Preservation

Batukaev¹,

Kalinichenko²,

Rykhlik³

et al. 2018

International Scientific and Practical Conference "AgroSMART - Smart Solutions for Agriculture" (AgroSMART 2018)

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“…This model simulates attainable yields of crops as a function of water consumption under rain-fed, supplemental, deficit, and full irrigation conditions, and has been used to accurately determine crop yields in maize [6][7][8], wheat [9][10][11], sugar beet [4,12,13], potatoes [14,15], barley [16], quinoa [17], and rice [18]. AquaCrop has also been linked to crop production functions [19][20][21][22][23][24][25][26][27] which relate yield reduction as a result of the relative loss in evapotranspiration [28].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Yield Response Factor for Each Growth Stage under Local Conditions Using AquaCrop-OS

Kuschel-Otárola

Schütze

Holzapfel

et al. 2020

Water

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We propose a methodology to estimate the yield response factor (i.e., the slope of the water-yield function) under local conditions for a given crop, weather, sowing date, and management at each growth stage using AquaCrop-OS. The methodology was applied to three crops (maize, sugar beet, and wheat) and four soil types (clay loam, loam, silty clay loam, and silty loam), considering three levels of bulk density: low, medium, and high. Yields are estimated for different weather and management scenarios using a problem-specific algorithm for optimal irrigation scheduling with limited water supply (GET-OPTIS). Our results show a good agreement between benchmarking (mathematical approach) and benchmark (estimated by AquaCrop-OS) using the Normalised Root Mean Square Error (NRMSE), allowing us to estimate reliable yield response factors ( K y ) under local conditions and to dispose of the typical simple mathematical approach, which estimates the yield reduction as a result of water scarcity at each growth stage.

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“…Most approaches for efficient allocation of reservoir storage are limited by the so-called curse of dimensionality where computational time and memory to increase exponentially with the number of storage units (Bellman & Dreyfus, 1966;Giuliani et al, 2016). Examples include dynamic programming (Banihabib et al, 2017;Fontane & Labadie, 1981;Ji et al, 2017;Mansouri et al, 2017;Marino & Mohammadi, 1983;Tauxe et al, 1979;Yakowitz, 1982;Yeh & Becker, 1982), stochastic dynamic programming (Butcher, 1971;Scarcelli et al, 2017;Soleimani et al, 2016;Stedinger et al, 1984;Torabi & Mobasheri, 1973;Zhou et al, 2017), and KHADEM ET AL. 8890…”

Section: Introductionmentioning

confidence: 99%

“…Most approaches for efficient allocation of reservoir storage are limited by the so‐called curse of dimensionality where computational time and memory to increase exponentially with the number of storage units (Bellman & Dreyfus, ; Giuliani et al, ). Examples include dynamic programming (Banihabib et al, ; Fontane & Labadie, ; Ji et al, ; Mansouri et al, ; Marino & Mohammadi, ; Tauxe et al, ; Yakowitz, ; Yeh & Becker, ), stochastic dynamic programming (Butcher, ; Scarcelli et al, ; Soleimani et al, ; Stedinger et al, ; Torabi & Mobasheri, ; Zhou et al, ), and model predictive control (Anghileri et al, ; Galelli et al, ; Mayne et al, ; Raso & Malaterre, ). Other studies (Cai et al, ; Shiau, ) used nonlinear optimization formulations with constrained carryover storage volumes.…”

Section: Introductionmentioning

confidence: 99%

Estimating the Economic Value of Interannual Reservoir Storage in Water Resource Systems

Khadem

Rougé

Harou

et al. 2018

Water Resources Research

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Reservoir operators face pressures on timing releases of water. Releasing too much water immediately can threaten future supplies and costs, but not releasing enough creates immediate economic hardship downstream. This paper examines how the economic valuation of end‐of‐year carryover storage can lead to optimal amounts of carryover storage in complex large water resource systems. Economic carryover storage value functions (COSVFs) are developed to represent the value of storage in the face of interannual inflow uncertainty and variability within water resource optimization models. The approach divides a perfect foresight optimization problem into year‐long (limited foresight) subproblems solved sequentially by a within‐year optimization engine to find optimal short‐term operations. The final storage state from the previous year provides the initial condition to each annual problem, and end‐of‐year COSVFs are the final condition. Here the COSVF parameters that maximize the interannual benefits from river basin operations are found by evolutionary search. This generalized approach can handle nonconvexity in large‐scale water resources systems. The approach is illustrated with a regional model of the California Central Valley water system including 30 reservoirs, 22 aquifers, and 51 urban and agricultural demand sites. Head‐dependent pumping costs make the optimization problem nonconvex. Optimized interannual reservoir operation improves over more cautious operation in the historical approximation, reducing the average annual scarcity volume and costs by 80% and 98%, respectively, with more realistic representation of hydrologic foresight for California's Mediterranean climate. The economic valuation of storage helps inform water storage decisions.

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Dynamic Programming Model for the System of a Non-Uniform Deficit Irrigation and a Reservoir

Cited by 6 publications

References 25 publications

Intra-Soil Pulse Continuum-Discrete Moistening for Soil and Water Preservation

Intra-Soil Pulse Continuum-Discrete Moistening for Soil and Water Preservation

Estimation of Yield Response Factor for Each Growth Stage under Local Conditions Using AquaCrop-OS

Estimating the Economic Value of Interannual Reservoir Storage in Water Resource Systems

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