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A Stochastic model for water use optimization in crop production systems | |
Author | Rabajante, Arristeo B. |
Call Number | AIT Thesis no. AE-80-06 |
Subject(s) | Irrigation farming |
Note | A thesis submitted in partial fulfilment of the requirements for the degree of Master of Engineering, School of Environment, Resources and Development |
Publisher | Asian Institute of Technology |
Abstract | For a finite planning horizon, a stochastic model for the optimization of water use in crop production systems was developed for the Quinali Integrated Development Area of the Bicol River Basin, the Philippines. The model is essentially crop- and site-specific and allows for the synthesis of the theory of Markov Chains and the Monte Carl o simulation technique with stochastic dynamic programming in a practical way so that trade-offs between system optimization and the risk of failure may be evaluated. The model consists of two parts, namely, (1) simulation of crop behavior under a stochastic weather regime, and (2) optimization of crop yield, hence, water use. The unifying principle between these two components is an empirical concept for irrigation timing and estimating crop yields. Irrigation management: was analyzed as an inventory system. With limited irrigation water available at the start of the growing season as the underlying constraint, an: irrigation program which will maximize crop yields was developed for dry season maize. This irrigation program in effect determines the optimal water use over an irrigation season by appropriate decisions regarding time and quantity of water application. Results show that the simulated rainfall and pan evaporation were in good agreement with the actual data. The simulated crop relative yields and relative evapotranspiration were also in good agreement: with the available data and knowledge of system behavior. Moreover, it was shown that optimum water use is primarily dependent on the timing of individual applications and less on the actual amount. This is of practical significance since it is easier to control the timing of irrigation than the actual quantity. |
Year | 1980 |
Type | Thesis |
School | School of Environment, Resources, and Development |
Department | Department of Food, Agriculture and Natural Resources (Former title: Department of Food Agriculture, and BioResources (DFAB)) |
Academic Program/FoS | Agricultural and Food Engineering (AE) |
Chairperson(s) | Apichart Anukularmphai |
Examination Committee(s) | Olesen, Svend Elsnab ;Tabucanon, Mario T. |
Scholarship Donor(s) | Japanese Government |
Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1980 |