00000ctm a22000003a 4500 UP-8027390931316197128 Buklod 20100811163257.0 a r |||| u| ta 100811s xx d r |||| u| (iLib)UPMIN-00004810102 DLC DLC upmin eng LG993.5 2010 A64 B29 Bauto, Elaine Grace U. Stochastic programming approach in determining the best combination of water-saving irrigation technologies of an irrigated rice land system under limited water resources Elaine Grace U. Bauto. 2010 Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2010 Stochastic programming was used to decide which mix of water-saving irrigation technologies would resolve the 11.6% water scarcity in the Bayanihan Irrigation Association zone of Padada River Irrigation System during dry season. Water availability obtained a probabilistic nature and was considered to be random variable. The water-saving irrigation technologies were recommended by the International Rice Research Institute and these include the Alternative Wetting and Drying, Saturated Soil Culture, Raised Beds, and Aerobic Rice. These technologies contained properties which served as the factors in deciding whether the certain technology will suit the condition of the irrigated land. The objective of the model was to maximize the yield of the farm upon the use of the technology to all farm lots, and the water constraints. The pre-evaluation phase of the solution considered the mean water availability as the right-hand side values of the water constraints. Simulations for the values of the random variables were derived and the feasible values were considered to serve as the new right hand side values in the final solution phase. Almost all of the decision variables, both in the pre-evaluation and final solution phases, considered the use of the Alternate Wetting and Drying Technology to each farm lot, since both phases had the same optional solutions. When the water availability is reduced with at most 35% the model still had chosen AWD as the technology that best suits the situation of most of the farm lots in the whole zone. If reduction of water availability exceeded 35% the model became infeasible. Additional constraints were added in formulations two and three which enforced the use of a technology at least once, and equal number of times. The solutions suggest that AWD, the best performing technology, should be applied to large size lots in the system considered. Aerobic rice. Alternate wetting and drying. Raised beds. Saturated soil culture. Simulation. Stochastic programming. Undergraduate Thesis AMAT200. FI UP UPMIN UPMIN-MAIN LG993.5 2010 A64 B29 Thesis