2020
DOI: 10.1002/ird.2476
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Optimal water allocation and distribution management in irrigation networks under uncertainty by multi‐stage stochastic case study: Irrigation and drainage networks of Maroon*

Abstract: In the present research the aim was to prepare a spatial and temporal optimization model for allocating irrigation water and cropping pattern in the Maroon irrigation and drainage networks, which are located in the province of Khoozestan, under uncertainty. Hydrometrical data were gathered from the Maroon network station. Meteorological data were prepared from Idenak station in Behbahan City during 2006-2016. Therefore a model was designed and developed to maximize the total gross benefit of the irrigation net… Show more

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Cited by 2 publications
(1 citation statement)
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“…Interval programming [16] Interval numbers [17] Intervals with random boundaries Stochastic programming [18] Probability distributions and fuzzy variables [19] Interval numbers with probability distributions [20] Interval numbers with probability distributions [21] Interval numbers with probability distributions Fuzzy programming [22] Fuzzy sets [23] Fuzzy sets [24] Fuzzy interval sets Deterministic programming - [25] Deterministic parameter - [ 26] Deterministic parameter - [ 27] Deterministic parameter sidering uncertainties, SO requires exact PDFs of uncertain parameters; however, lacked for most cases in practice due to the information barriers. In comparison, a RO problem starts with an uncertainty set, which can be shaped in multiple ways, e.g.…”
Section: Uncertain Programmingmentioning
confidence: 99%
“…Interval programming [16] Interval numbers [17] Intervals with random boundaries Stochastic programming [18] Probability distributions and fuzzy variables [19] Interval numbers with probability distributions [20] Interval numbers with probability distributions [21] Interval numbers with probability distributions Fuzzy programming [22] Fuzzy sets [23] Fuzzy sets [24] Fuzzy interval sets Deterministic programming - [25] Deterministic parameter - [ 26] Deterministic parameter - [ 27] Deterministic parameter sidering uncertainties, SO requires exact PDFs of uncertain parameters; however, lacked for most cases in practice due to the information barriers. In comparison, a RO problem starts with an uncertainty set, which can be shaped in multiple ways, e.g.…”
Section: Uncertain Programmingmentioning
confidence: 99%