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008			110920s1987 th uu|m rtt 0| a1eng d
035			_a.b10075288
099		9	_aAIT Thesis no.AE-87-05
100	1		_aMohanty, Binayak Prasad
245	1	3	_aAn integrated optimization - simulation model for water allocation in an irrigation project
260			_aBangkok : _bAsian Institute of Technology, _c1987
300			_a141 p.
490	1		_aThesis ; _vno. AE-87-05
500			_aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Environment, Resources and Development
502			_aThesis (M.Eng.) - Asian Institute of Technology, 1987
520			_aAn explicit stochastic dynamic programming model is used in this study to derive the optimum operation policies of the single-purpose Kanjhari reservoir, in India, that minimizes the expected annual squared deviation between target irrigation demand and reservoir release, satisfying the system constraining conditions. The model used the backward-looking stochastic dynamic programming algorithm with reservoir inflows treated as the first order Markov chain. The optimal monthly operation policies are expressed in terms of final storage state at the end of each month, as the function of the initial storage state at the beginning of the current month, and the inflow during the current month. Achieving the optimal release policy by stochastic reservoir operation model, the optimal al location policy between the main canals, and the feasible crop acreage of different competing crops in the command area were estimated by the simulation model using a physical performance indicator with an objective to, minimize the accumulated deviation function from the "most ideal" configuration of the system for 35 consecutive crop years of historical record. The simulation model was tried with different parameters and criteria. A reliability analysis was also carried out to investigate the rela tive performance of the system at different system configuration, which can serve as a tool to decision estimator, or project planner for the optimal irrigation project planning and operation. Due to the physical basis of optimization, this combined model is well suitable for any single purpose irrigation project within the limited data requirement.
650		0	_aWater in agriculture _xMathematical models
700	1		_aMizutani, Masakazu, _eChairperson
700	1		_aBogardi, Janos J., _eCo-Chairperson
700	1		_aMurty, V.V.N., _eExamination Committee
700	1		_aSingh, Gajendra, _eExamination Committee
700	1		_aPaudyal, Guna N., _eExamination Committee
710	2		_aGovernment of Australia., _eScholarship Donor
810	2		_aAsian Institute of Technology. _tThesis ; _vno. AE-87-05
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B19054
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